Bowdoin Science Journal

Chemistry and Biochemistry

Floating Systems: Jellyfish and Evolving Nervous Systems

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Jellyfish are just one species within the phylum cnidaria. A phylum is a broad level of taxonomic classification that includes many different species, with cnidaria additionally including coral and anemones. Cnidaria provides comparative neuroscience information due to the simple behaviors that the species within the phylum exhibit. Despite their shared phylum that creates nerve cells with similar properties, the species have dramatically different nervous systems, allowing for unique perspectives on the diversity, origins, and evolution of neural systems within species (Cunningham et al., 2024). Comparative neuroscience information is the study of nervous systems across a variety of animal species. Through this research, the evolutionary changes in the brain’s structure can be examined, allowing scientists to see how differences in nervous systems shape certain behaviors (Miller et al., 2019). Neuroscience researchers can use an all-optical interrogation, in which they study and manipulate neural systems using light, upon these species, allowing them to image and photograph the neuronal networks in the creature for further examination. 

Fig 1. Photo of Clytia hemisphaerica (Clytia Hemisphaerica Medusa – 13673149 ❘ Science Photo Library, n.d.)

Jellyfish are major contributors to ocean ecosystems. Their reproductive, foraging, and defensive behaviors all uniquely impact the ecosystem at large. What is notable about jellyfish, however, is that these behaviors are shaped out of decentralized, regenerative nervous systems. Rather than the creature being controlled by the neurons in its brain, the jellyfish’s neurons are spread throughout the body (“Thinking without a Centralized Brain,” n.d.). This allows the various parts of its body to have a role in controlling and processing information. Additionally, the nervous system itself has the ability to repair and restore itself, allowing damaged nerves to be replaced by new ones (Gaskill, 2018). 

Jellyfish are the most complicated species of Cnidaria, due to various behaviors that demonstrate their higher level functioning compared to other species in the phylum. They have the ability to move in 3-dimensions, capture and consume other creatures, and the ability to escape from predators and other potential threats. Notably, jellyfish also exhibit courtship behaviors and sleep states, despite lacking a central brain. These behaviors are  due to their sensory structures, made up by two nervous systems: one which controls their swimming and another that controls all other behaviors. The jellyfish’s nervous systems can respond to each other, despite the lack of a central controller (Cunningham et al., 2024). 

A recent scientific investigation conducted at Caltech by Anderson et al. sought to explore how the jellyfish can be used to conduct neuroscience research. Clytia hemisphaerica is a species of jellyfish that has recently been adopted into a genetic neuroscience model. It has previously been used as a model to study evolution, embryology, regeneration, and other fields. This species of jellyfish is a particularly useful model for neuroscience research because its genome is already sequenced and assembled from the birth of the creature, with whole-animal single-celled Ribonucleic Acid (RNA) sequences formed within the species. Rather than using multiple animals to sequence the RNA, Clytia hemisphaerica has the capability to provide the necessary amounts of cells needed to be examined. Using multiplexed single-cell RNA sequencing, in which individual animals were indexed and pooled from control and perturbation conditions into a single sequencing run (Chari et al., 2021). Clytia hemisphaerica is the only jellyfish whose RNA sequences are being used to rapidly develop genomic tools. These tools can be tested and utilized by researchers, allowing them to explore brain function and neurological disorders through this model (Cunningham et al., 2024).

The last common ancestor of Clytia hemisphaerica was a hydrozoan jellyfish, which are able to perform specific behaviors even if certain body parts are detached from the body. Hydrozoan jellyfish, notably, have the ability to cycle back and forth between various stages of their life–allowing them to live for large expanses of time. When the body parts exist in an intact organism, they also have the ability to perform more complex behaviors. These include different feeding behaviors and mechanisms. The swimming behavior of the Clytia hemisphaerica also reveals key information about the neuromechanics behind different behaviors of jellyfish. As an example, although jellyfish spend a majority of their lives swimming, there are periods where they may start and stop. These periods are only exhibited when there is food passing or defensive behaviors are exhibited. When these behaviors are examined, neuroscientists can ponder and develop further conclusions about multi-sensory integration, motor control, and the mechanisms that underlie behavioral states (Cunningham et al., 2024). Figure 1

Fig 2. The Evolution, Life Cycle, and Genetic Tools of Clytia hemisphaerica (Cunningham et al., 2024)

Through using neural population imaging, in which researchers have the ability to monitor large groups of neurons through calcium and voltage imaging, on the whole-organism scale through the Clytia hemisphaerica, emergent properties of function networks can be uncovered (Zhu et al., 2022). Without this model, scientists would have to use traditional single-cell unit recordings, requiring using fine tools just to see the individual activity of a single neutron, or anatomical studies, which would not provide the same amount of potential discoveries that new techniques with Clytia hemisphaerica provide. Through using this species as a model, researchers can uncover more knowledge and data about nervous system evolution and function, particularly for neural regeneration.

Neural regeneration is particularly important in the treatment of injury and disease in the nervous system. It aids in cognitive recovery following neurodegeneration, helping rebuild neurons and nervous tissue (Steward et al., 2013). Through neural regeneration, the nervous system may regain its functions, allowing for betterment of quality of life. By continuing to examine species capable of neural regeneration, we may learn to apply this to the human nervous system, allowing us to move forward in curing traumatic brain injuries and degeneration of the brain and its abilities (Neuroregeneration – an Overview | Sciencedirect Topics, n.d.).

 

 

 

 

 

References:

Chari, T., Weissbourd, B., Gehring, J., Ferraioli, A., Leclère, L., Herl, M., Gao, F., Chevalier, S., Copley, R. R., Houliston, E., Anderson, D. J., & Pachter, L. (2021). Whole animal multiplexed single-cell rna-seq reveals plasticity of clytia medusa cell types. bioRxiv. https://doi.org/10.1101/2021.01.22.427844

Cunningham, K., Anderson, D. J., & Weissbourd, B. (2024). Jellyfish for the study of nervous system evolution and function. Current Opinion in Neurobiology, 88, 102903. https://doi.org/10.1016/j.conb.2024.102903

Gaskill, M. (2018, November 20). No brain? For jellyfish, no problem | blog | nature | pbs. Nature. https://www.pbs.org/wnet/nature/blog/no-brain-for-jellyfish-no-problem/

Miller, C. T., Hale, M. E., Okano, H., Okabe, S., & Mitra, P. (2019). Comparative principles for next-generation neuroscience. Frontiers in Behavioral Neuroscience, 13. https://doi.org/10.3389/fnbeh.2019.00012

Neuroregeneration—An overview | sciencedirect topics. (n.d.). Retrieved April 27, 2025, from https://www.sciencedirect.com/topics/neuroscience/neuroregeneration

Steward, M. M., Sridhar, A., & Meyer, J. S. (2013). Neural regeneration. Current Topics in Microbiology and Immunology, 367, 163–191. https://doi.org/10.1007/82_2012_302

Thinking without a centralized brain: The intelligence of the octopus. (n.d.). WHYY. Retrieved April 27, 2025, from https://whyy.org/segments/thinking-without-a-centralized-brain-the-intelligence-of-the-octopus/

Zhu, F., Grier, H. A., Tandon, R., Cai, C., Agarwal, A., Giovannucci, A., Kaufman, M. T., & Pandarinath, C. (2022). A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with sub-frame temporal resolution. Nature Neuroscience, 25(12), 1724–1734. https://doi.org/10.1038/s41593-022-01189-0

Identification of Underlying Apoptotic Pathways in MCF-7 Breast Cancer Cells via CRISPRa Upregulation of HtrA2/Omi

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This experiment investigated a possible candidate for cancer treatment utilizing a cell’s own function for programmed cell death. The purpose of this study was to determine if upregulation of the apoptotic gene HtrA2/Omi in breast cancer cells would lead to increased apoptosis in the cells. Previous literature had described upregulation of apoptotic pathways as a possible viable mechanism for cancer treatment. However, this study did not find significant results to support these claims. 

Breast cancer, one of the most prevalent forms of cancer in the world, disproportionately affects women in the United States. On average, 13 percent of women in the United States will be diagnosed with breast cancer at some point during their lifetime (Breast Cancer Facts and Statistics 2023). Every year, 42,000 women die from breast cancer in the United States, with 240,000 more diagnosed with breast cancer (Basic Information About Breast Cancer 2023). 

Cells undergo a highly regulated process of programmed cell death called apoptosis that allows for natural development and growth of the organism. Through apoptosis, organisms are able to destroy surplus, infected, and damaged cells. Cancerous tumors develop when the apoptosis function of a cell is not working properly, resulting in a malignant cell that can grow and divide uncontrollably into a tumor. As apoptosis pathways can be induced non-surgically, it is a highly effective method used to control or terminate malignant cancer cells. By utilizing the cell’s own mechanism for death, research for cancer treatment has identified apoptosis as a way to target malignant tumors (Pfeffer et al., 2018). 

Research has shown that apoptosis is induced by overexpressing certain genes. HtrA2/Omi is a gene that induces apoptosis when overexpressed in the cell. When released from the mitochondria, HtrA2 inhibits the function of an apoptosis inhibitor, effectively inducing cell death (Suzuki et al., 2001). These data suggest that modulating and upregulating HtrA2 expression shows promising findings in enhancing apoptosis in breast cancer. 

CRISPR-Cas9 is a type of cellular biotechnology which can be used to study the manipulation of genomes by either adding, deleting, or altering genetic material in specific locations. This tool can be used to overexpress the HtrA2 gene in order to induce cell death. The process of CRISPR-Cas9 involves using sgRNA (a single guide RNA) with an enzyme to act as a gene-editing tool and introduce mutations into a desired target sequence in the genome. In order to modulate the HtrA2 gene, this experiment will require CRISPRa, a variant of CRISPR that uses a protein (dCas9) and transcriptional effector. The sgRNA navigates to the genome locus, guiding the dCas9. The dCas9 is unable to make a cut, so the effector instead activates the desired downstream gene expression (“Chapter 2: CRISPRa,” n.d.). This experiment will use CRISPRa technology to upregulate the HtrA2/Omi gene, which will inhibit the X chromosome-linked inhibitor of apoptosis, inducing either caspase-dependent cell death or Caspase-3 independent cell death in MCF-7 cells.

The pilot study for this experiment was conducted to determine the optimal level of Lipofectamine – which is a reagent that can be used for an efficient transfection without causing the cells to undergo apoptosis. The Lipofectamine concentration was varied to identify the fold change it would create in the expression of the target gene, HtrA2/Omi. After statistical analyses, researchers found no statistically significant correlation between the HtrA2/Omi gene expression and the Lipofectamine concentration in this experiment.

Fig. 1. After the transfection, qPCR was conducted on the control, 100% Lipofectamine, 75% Lipofectamine with sgRNA, and 75% Lipofectamine without sgRNA. The average Ct values were calculated and graphed.

Overall, the results from conducting quantitative PCR (qPCR), which shows how much of the HtrA2 was transfected, demonstrated extreme variance, indicating that there may have been errors that significantly affected these results. One possible error was that qPCR was conducted as cells were undergoing apoptosis, which would skew the results as mRNA is destroyed in cells as they die, leaving fragments behind. Another error observed throughout this experiment was high cell confluence (number of cells covering the adherent surface). Much of this experiment was conducted with cells at 100% or almost 100% confluence, which means it is possible that the concentrations of Lipofectamine that were predicted to cause efficient transfection did not work because the reagent could not enter the cells. Ultimately, it was found that a cell seeding concentration of 1*104 cells/mL worked best with regard to transformation, but the experiment still did not yield statistically significant results.

Fig. 2. For the pilot experiment, mCherry plasmid was transfected in MCF-7 cells. The following ZOE images showed the images of MCF-7 before transfection under different fluorescence as well as the merged image of both green and red fluorescence.

 

References

ATCC. (n.d.). MCF-7. ATCC. Retrieved November 17, 2021, from https://www.atcc.org/products/htb-22

Breast cancer facts and statistics, 2023. (n.d.). https://www.breastcancer.org/facts-statistics

Siegel, R. L., Miller, K. D., Fuchs, H., & Jemal, A. (2021). Cancer Statistics, 2021. CA: A Cancer Journal for Clinicians, 71(1), 7–33. https://doi.org/10.3322/caac.21654

Basic Information About Breast Cancer, 2023. https://www.cdc.gov/cancer/breast/basic_info

Pfeffer, C. M., & Singh, A. T. K. (2018). Apoptosis: A Target for Anticancer Therapy. International Journal of Molecular Sciences, 19(2), 448. https://doi.org/10.3390/ijms19020448

Suzuki Y, Imai Y, Nakayama H, Takahashi K, Takio K, Takahashi R. A serine protease, HtrA2, is released from the mitochondria and interacts with XIAP, inducing cell death. Mol Cell. 2001 Sep;8(3):613-21. doi: 10.1016/s1097-2765(01)00341-0. PMID: 11583623.

Hu, Q., Myers, M., Fang, W., Yao, M., Brummer, G., Hawj, J., Smart, C., Berkland, C., & Cheng, N. (2019). Role of ALDH1A1 and HTRA2 expression in CCL2/CCR2-mediated breast cancer cell growth and invasion. Biology open, 8(7), bio040873. https://doi.org/10.1242/bio.040873

Camarillo, Ignacio G., et al. “4 – Low and High Voltage Electrochemotherapy for Breast Cancer:

An in Vitro Model Study.” ScienceDirect, Woodhead Publishing, 1 Jan. 2014. www.sciencedirect.com/science/article/abs/pii/B9781907568152500042.

Rouhimoghadam M, Safarian S, Carroll JS, Sheibani N, Bidkhori G. Tamoxifen-Induced Apoptosis of MCF-7 Cells via GPR30/PI3K/MAPKs Interactions: Verification by ODE Modeling and RNA Sequencing. Front Physiol. 2018 Jul 11;9:907. doi: 10.3389/fphys.2018.00907. PMID: 30050469; PMCID: PMC6050429.

Mooney, L. M., Al-Sakkaf, K. A., Brown, B. L., & Dobson, P. R. (2002). Apoptotic mechanisms in T47D and MCF-7 human breast cancer cells. British journal of cancer, 87(8), 909–917. https://doi.org/10.1038/sj.bjc.6600541

Suzuki, Y., Takahashi-Niki, K., Akagi, T. et al. Mitochondrial protease Omi/HtrA2 enhances caspase activation through multiple pathways. Cell Death Differ 11, 208–216 (2004). https://doi.org/10.1038/sj.cdd.440134

Chapter 2: CRISPRa and CRISPRi. (n.d.). In A Comprehensive Guide on CRISPR Methods. https://www.synthego.com/guide/crispr-methods/crispri-

Better Bonds and New Molecules

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Keywords – chemical bonds, covalent bonds, ionic bonds, ions, free radicals, dissociation, synthesis, stimuli, heterolysis

Free radicals are typically atoms that are most commonly found in diatomic molecules (for example, Oxygen) that are not bonded, so they tend to bond to the first available molecule and are therefore very unpredictable. Free radicals are atoms with unpaired electrons attached. They are commonly found in the body or in the environment. Having unpaired electrons means that they are volatile and can randomly bond to other molecules, creating toxic compounds if they become too abundant. 

By contrast, ions are atoms with charges that create much more predictable bonds in nature. Like free radicals, ions have a different number of electrons (negatively charged parts) than protons (positively charged parts). However, ions have paired electrons and occur more naturally in the body. Ions are essential for communication between cells.

The synthetic breakdown – or dissociation – of molecules in solutions or bodily environments often releases free radicals instead of ions. This new study explores the possibility of using energy differently to reduce the release of free radicals in synthetic dissociation. The replacement of free radicals with ions will reduce harm to the body, as well as the environment. This opens up new possibilities for the creation of new medicines and more efficient biofuels.

Heterolysis results in the release of ions rather than free radicals. The Nuerberger and Breder lab conducted experiments that center around the understanding that many molecules can not be dissociated into their respective atomic contents via heterolysis, a process that involves breaking molecular bonds by using two different energetic stimuli rather than one (for example, light and heat rather than one or the other). The challenge here is to balance the use of heat and light to efficiently break down molecules without harmful byproducts like free radicals.

This procedure begins with determining the lambda-max value, which is the optimal wavelength of light that will maximize the absorbance in a certain molecule, for the molecules PhSe, PhSe+, and PhSe- (Breder, 2024). These are charged compounds consisting of a Selenium atom attached to a phenyl group, or a six-Carbon ring with five attached Hydrogen atoms. These molecules were selected to mimic the complexity and size of many biological molecules found in the body.

Next, the researchers determined the amount of energy that could be absorbed from a light source with the calculated lambda-max wavelength. This data was obtained through the use of absorbance sensors, which shine a broad spectrum of light with various wavelengths and can detect which wavelengths are blocked the most by dissolved particles. All substances have a lambda-max value, which is why we are able to see in color. Even samples that appear to be colorless have a slight color to them. The lambda-max value of a sample will typically correspond to its complementary color in the red-blue-green system (for example, the lambda-max value for a green substance will correspond to a shade of purple light).

Once the lambda-max values were determined for each substance, the researchers calculated how much energy was contained in the absorbed light. This value was subtracted from the known amount of energy required to break the Se-C (Selenium-Carbon) bonds. The remaining energy was supplemented in the form of heat, and the molecules in turn dissociated with a much higher frequency of ions and atoms with paired electrons than free radicals (Breder, 2024). Researchers were able to quantify the difference in ion dissociation from free radicals by determining experimental lambda-max values after exposure to the light and heat stimuli and comparing those of the ion products and of the free radical products. (see Figure 1 for comparison)

Figure 1. Comparison of average energy levels required to separate atoms via homolysis vs. heterolysis (Breder, 2024). 

 

This experiment demonstrates that the combined use of heat and light stimuli to dissociate molecules results in safer byproducts for the human body and the environment. This means that more diverse molecules can be created without extensive energy usage. This leap in chemistry expands into the biological and environmental fields of research, allowing for more complex and efficient medicines, implants, biofuels, plastic replacements, and more to be created.

This research has broad implications in the research world. In environmental sciences, the creation of biofuels can require several steps of synthesizing and dissociating molecules to achieve specific formulas and structures. The knowledge of how to minimize the release of volatile materials during this process is vital to ensuring that living organisms in nearby ecosystems are not harmed by the creation of more renewable fuels.

In medicine, a similar dilemma occurs with the creation of new drugs. While medicinal compounds are synthesized in controlled lab environments, their individual chemical formulas may be counterproductive in that they favor the release of free radicals in the body once administered into such an uncontrolled environment. In addition to reducing the abundance of free radicals in the synthesis of new materials, the knowledge of how to more efficiently construct and break apart molecules opens up new possibilities for entirely unique drug compounds. Ideally, many of these will serve the same functions but will be less structurally in favor of releasing free radicals into the body.

Works Cited

Sayre, Hannah J., and Harsh Bhatia. “Innovative Way to Break Chemical Bonds Broadens Horizons for Making Molecules.” Nature, vol. 632, no. 8025, Nature Portfolio, Aug. 2024, pp. 508–9, https://doi.org/10.1038/d41586-024-02437-y. Accessed 10 Oct. 2024.

Tiefel, Anna F., et al. “Unimolecular Net Heterolysis of Symmetric and Homopolar σ-Bonds.” Nature, vol. 632, no. 8025, Aug. 2024, pp. 550–56, https://doi.org/10.1038/s41586-024-07622-7.

From Milk to Malignancy – Breast Cancer and its Metabolic Implications 

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The annual rise of cancer cases has created a high demand for new innovative treatments and has made cancer a prominent topic in the scientific community. According to the American Cancer Society (ACS), approximately 20 million new cancer cases were diagnosed worldwide in 2022, leading to 9.7 million deaths [1]. It is expected that by 2050, cancer cases will reach 35 million, largely due to population growth [1]. While significant advancements have been made in cancer research, the complexity of different cancer types presents challenges. 

One of the most prevalent forms is breast cancer, which, in 2022, was the second most common cancer in the U.S., with 2.3 million new cases, predominantly affecting women [2]. Unlike many cancers, breast cancer is not a single disease but a collection of subtypes characterized by distinct clinical, morphological, and molecular features. This heterogeneity makes it challenging to study and treat effectively. A recent study published in Nature Metabolism explores the metabolic differences between normal mammary cells and breast cancer cells [4]. Understanding these metabolic processes could pave the way for new, targeted therapies. Researchers have identified specific metabolic vulnerabilities in mammary epithelial cells, which line the breast tissue.

 

Figure 1. Non-tumorigenic Mammary Gland Components. A diagram of a non-tumorigenic mammary gland showing a cluster of alveoli containing luminal and basal cells. Luminal cells line the milk ducts and alveoli and are responsible for milk secretion during lactation. Basal cells are believed to play a role in transporting milk to the nipple during lactation. Source: Created in BioRender, [4], [10], [11].

In the normal mammary gland, various types of cells carry out specific functions, one of which is the progenitor cells. These progenitor cells generate distinct alveolar structures that continuously form in the adult breast, and their activity is crucial for maintaining normal mammary homeostasis [5]. Progenitor cells are located in the luminal compartment [6], which is also home to the luminal cells. The luminal cells play a key role in lactation by lining the milk ducts and alveoli, where they secrete milk (Figure 1)[7]. In contrast, basal cells are located around the luminal cells and are believed to function during lactation by helping to transport milk to the nipple (Figure 1)[7]. Although these mammalian epithelial cells (luminal and basal cells) are important to the function of normal mammary glands, these also serve as a tumour cell of origin [4].

In their study, Mahendralingam et al. used mass spectrometry to analyze the metabolic profiles of normal human mammary cells [8]. They discovered that luminal progenitor cells primarily rely on oxidative phosphorylation for energy, whereas basal cells depend more on glycolysis [4]. This distinction is crucial because oxidative phosphorylation is an efficient, oxygen-dependent process that generates substantial energy, while glycolysis, though faster, is less efficient and does not require oxygen — a pathway often favored by cancer cells to support rapid growth [9]. Targeting these distinct energy pathways could lead to more effective treatments for different breast cancer subtypes.

However, a new discovery was that breast cancer cells appear to adopt the metabolic programs of their cells of origin [4,9]. This complicates treatment since the cancer cells may still be vulnerable to metabolic pathways that are important for normal cell function. As a result, treatments designed to target specific metabolic pathways might not work as expected, since the cancer cells might behave similarly to the healthy cells from which they originated. 

The results from Mahendralingam et al. can form a basis for future metabolic studies that may lead to specific anti-tumoral drug therapies designed to treat specific breast cancer subtypes. This type of research lays a foundation for targeted approaches but further studies are needed to assess how findings, such as this one, can translate into clinical practice. As breast cancer continues to rise, understanding the complexity is more important than ever. 

 

Work Cited: 

  1. Global Cancer Facts & Figures. (n.d.). Retrieved October 27, 2024, from https://www.cancer.org/research/cancer-facts-statistics/global-cancer-facts-and-figures.html
  2. Global cancer burden growing, amidst mounting need for services. (n.d.). Retrieved October 27, 2024, from https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing–amidst-mounting-need-for-services
  3. Sánchez López de Nava, A., & Raja, A. (2024). Physiology, Metabolism. In StatPearls. StatPearls Publishing. http://www.ncbi.nlm.nih.gov/books/NBK546690/
  4. Alfonso-Pérez, T., Baonza, G., & Martin-Belmonte, F. (2021). Breast cancer has a new metabolic Achilles’ heel. Nature Metabolism, 3(5), 590–592. https://doi.org/10.1038/s42255-021-00394-8
  5. Tharmapalan, P., Mahendralingam, M., Berman, H. K., & Khokha, R. (2019). Mammary stem cells and progenitors: Targeting the roots of breast cancer for prevention. The EMBO Journal, 38(14), e100852. https://doi.org/10.15252/embj.2018100852
  6. Tornillo, G., & Smalley, M. J. (2015). ERrrr…Where are the Progenitors? Hormone Receptors and Mammary Cell Heterogeneity. Journal of Mammary Gland Biology and Neoplasia, 20(1–2), 63–73. https://doi.org/10.1007/s10911-015-9336-1
  7. New Paradigm for Mammary Glands. (n.d.). Massachusetts General Hospital. Retrieved December 8, 2024, from https://www.massgeneral.org/cancer-center/clinician-resources/advances/new-paradigm-for-mammary-glands
  8. Mahendralingam, M. J., Kim, H., McCloskey, C. W., Aliar, K., Casey, A. E., Tharmapalan, P., Pellacani, D., Ignatchenko, V., Garcia-Valero, M., Palomero, L., Sinha, A., Cruickshank, J., Shetty, R., Vellanki, R. N., Koritzinsky, M., Stambolic, V., Alam, M., Schimmer, A. D., Berman, H. K., … Khokha, R. (2021). Mammary epithelial cells have lineage-rooted metabolic identities. Nature Metabolism, 3(5), 665–681. https://doi.org/10.1038/s42255-021-00388-6
  9. ZHENG, J. (2012). Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review). Oncology Letters, 4(6), 1151–1157. https://doi.org/10.3892/ol.2012.928
  10. Fig. 3 Stem cell in glandular and stratified epithelia. A A schematic… (n.d.). ResearchGate. Retrieved December 7, 2024, from https://www.researchgate.net/figure/Stem-cell-in-glandular-and-stratified-epithelia-A-A-schematic-model-depicting-the_fig3_374804603
  11. Model of normal mammary gland structure. This tissue is composed of… (n.d.). ResearchGate. Retrieved December 8, 2024, from https://www.researchgate.net/figure/Model-of-normal-mammary-gland-structure-This-tissue-is-composed-of-ducts-which-are_fig1_357239665

Engineered Nanoparticles Enable Selective Gene Therapy in Brain Tumors

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Inborn protective mechanisms present challenges for therapies targeting cancers of the brain. Engineered nanoparticles permit the selective delivery of CRISPR-Cas9 to glioblastoma tumors.

Glioblastoma accounts for almost half of all cancerous tumors originating in the brain.1 Even with maximum safe treatment, the median survival period for patients is less than 1.5 years.2 However, survival varies widely by age, from a 0.9% 5-year survival rate for patients over 75 years old to an 18.2% 5-year survival rate for patient 0-19 years old.3 Nevertheless, the overall 5-year survival rate remains low at 5%2 and novel therapies are urgently needed for glioblastoma treatment. Zou et al. present a highly specific CRISPR-Cas9-based gene therapy for glioblastoma.4

Gene therapies offer an attractive treatment for cancers. The goal of gene therapy is to mutate or remove deleterious DNA sequences such that they are unable to be transcribed and translated into functioning proteins. In the most prevalent technique, CRISPR-Cas9, single guide RNA (sgRNA) identifies and binds to the target DNA sequence. It then recruits Cas9 proteins to excise parts of the target DNA sequence. Mutations are generated as the cell tries to repair the damaged DNA.5

While a powerful tool, researchers have struggled to effectively deliver CRISPR-Cas9 to their cellular target. Delivery is particularly complex in brain tumors such as glioblastoma. Traditionally medications are trafficked through the body and delivered to their target through the bloodstream. However, the brain is a more complex and protected system. Primarily, selective delivery of therapeutics to tumor cells is necessary to protect neuronal function. Moreover, the brain is separated from the blood stream by a thin layer of cells termed the blood-brain barrier (BBB). The BBB allows for selective permeation of compounds into the brain, shielding neurons from toxins while permitting the passage of essential nutrients.6 Previous studies have sought to transport CRISPR-Cas9 therapies across the BBB using viruses as delivery capsules7 or circumvent the BBB altogether via intercranial injection of therapeutics.8 Yet these methods carry risk, either an immune response to the viral vector or complications from the invasive injection.

Zou et al. sought to resolve the issues of specific cell targeting and BBB permeability in CRISPR-Cas9 delivery by encapsulating the gene editing complex within a nanoparticle. The researchers chose to target Polo-like kinase 1 (PLK1) using CRISPR-Cas9 gene therapy. PLK1 is an attractive for selective gene therapy due to its higher overexpression by glioblastoma cells and by the proliferative glioblastoma subtype in particular.9 Moreover, inhibition of PLK1 has been shown to reduce tumor growth and induce cell death.9

The researchers encapsulated Cas9 and sgPLK1 in a neutrally charged nanoparticle for delivery. The small size of nanoparticles, which are measured in nanometers, allow for easy transport through the bloodstream and uptake by cells. Taking advantage of the high expression of lipoprotein receptor-related protein-1 (LRP-1) on both BBB endothelial cells and glioblastoma tumor cells, they decorated the nanocapsule surface with LRP-1 ligand angiopep-2 peptide to facilitate selective uptake by BBB and glioblastoma cells (Figure 1). Zou and her colleagues bound the nanoparticle together with disulfide bonds as an added layer of selectivity for glioblastoma cell delivery. In the high glutathione environment of a glioblastoma cell, the nanoparticle dissolves, releasing its contents. However, glutathione concentrations are lower in BBB endothelial cells and healthy neurons, reducing the dissolution of the nanoparticles and leaving healthy DNA alone.

 

Figure 1. Nanoparticles enable permeation of the blood brain barrier (BBB) and selective delivery of the CRISPR/Cas9 system to glioblastoma (GBM) cells. Angiopep-2 peptides, which decorate the nanoparticle’s surface, bind with lipoprotein receptor-related protein-1 (LRP-1) overexpressed on BBB and GBM cells. Following uptake into GBM cells, the nanoparticles dissolve in the high glutathione environment, releasing the Cas9 nuclease and single guide RNA (sgRNA) targeting Polo-like kinase 1 (PLK-1) genes. Zou et al. demonstrated the selective mutation of PLK-1 induced apoptosis in GBM cells with minimal off-target effects.

 

Through Cas9/sgPLK1 delivery by nanoparticle, Zou et al. demonstrated a 53% reduction in expression of the targeted gene in vitro. PLK1 gene editing was cell selective, with negligible genetic mutation in the healthy surrounding brain tissue. While nanoparticles with and without disulfide cross-linking were capable of gene editing, the disulfide cross-linked nanoparticle induced almost 400% more mutations. Glioblastoma cells treated with disulfide cross-linked nanoparticles were also over 3 times more likely to undergo apoptosis cell death. Mice grafted with patient glioblastoma tumors treated with Cas9/sgPLK1 nanocapsules experienced an almost 3-fold extension in life expectancy, suggesting this treatment as a viable anti-glioblastoma therapy.5

Yet in order to be effectively applied as a cancer therapy, the efficiency of this nanoparticle delivery system must be increased. In mouse glioblastoma models, Zou et al. only achieved a maximum accumulation of 12% and effected a 38% knockdown of PLK1.5 Despite their low magnitude, these values are far greater than similar gene therapy treatments currently studied, suggesting nanoparticles present an innovation in the delivery of CRISPR-Cas9 to difficult to access tumors.

In addition to the improved efficacy over existing systems, the work of Zou et al. opens the door for less invasive administration of treatment. In contrast to previous gene therapies administered directly to the tumor through intercranial injection, the BBB penetration and tumor-specific accumulation of the nanoparticles may permit systemic administration. Zou et al. injected the nanoparticles intravenously, but treatment may even be given as a pill taken orally, eliminating any surgical intervention. Moreover, due to their modular design, the engineered nanoparticles may be adapted as targeted treatments for other tumors. Exchanging the angiopep-2 peptides for another ligand would facilitate uptake by cells expressing the corresponding receptor. The load carried within the nanoparticle could be altered to contain a different sgRNA targeting a new gene or another therapeutic entirely as a complementary treatment. Nanoparticle delivery systems like that studied by Zou et al. contains many layers of selectivity, offering hope for effective delivery of treatment to previously inaccessible tumors.

 

Works Cited:

  1. Wirsching, H.-G. & Weller, M. Glioblastoma. in Malignant Brain Tumors : State-of-the-Art Treatment (eds. Moliterno Gunel, J., Piepmeier, J. M. & Baehring, J. M.) 265–288 (Springer International Publishing, Cham, 2017). doi:10.1007/978-3-319-49864-5_18.
  2. Delgado-López, P. D. & Corrales-García, E. M. Survival in glioblastoma: a review on the impact of treatment modalities. Clin Transl Oncol 18, 1062–1071 (2016).
  3. Ostrom, Q. T. et al. CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007–2011. Neuro Oncol 16, iv1–iv63 (2014).
  4. Lino, C. A., Harper, J. C., Carney, J. P. & Timlin, J. A. Delivering CRISPR: a review of the challenges and approaches. Drug Delivery 25, 1234–1257 (2018).
  5. Zou, Y. et al. Blood-brain barrier–penetrating single CRISPR-Cas9 nanocapsules for effective and safe glioblastoma gene therapy. Sci Adv 8, eabm8011.
  6. Dotiwala, A. K., McCausland, C. & Samra, N. S. Anatomy, Head and Neck: Blood Brain Barrier. in StatPearls (StatPearls Publishing, Treasure Island (FL), 2024).
  7. Song, R. et al. Selection of rAAV vectors that cross the human blood-brain barrier and target the central nervous system using a transwell model. Molecular Therapy Methods & Clinical Development 27, 73–88 (2022).
  8. Lee, B. et al. Nanoparticle delivery of CRISPR into the brain rescues a mouse model of fragile X syndrome from exaggerated repetitive behaviours. Nat Biomed Eng 2, 497–507 (2018).
  9. Lee, C. et al. Polo-Like Kinase 1 Inhibition Kills Glioblastoma Multiforme Brain Tumor Cells in Part Through Loss of SOX2 and Delays Tumor Progression in Mice. Stem Cells 30, 1064–1075 (2012).

The Melting Arctic’s Impact on the Gulf of Maine

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Recent observation and nutrient analysis in the Gulf of Maine has found that within the past 50 years nutrient sources have become more limited, impacting the entire ecosystem. The Gulf of Maine receives nutrient-rich waters from the continental slope that enters through the Northeast Channel, north of Georges Bank (figure 1). These continental slope waters originate off southern Newfoundland and travel into the Gulf of Maine passing by Labrador and the Scotian Shelf, all the while accumulating and retaining its high concentration of nutrients. Nutrients from this water source, such as nitrate and silicate that exist in excess within continental slope water, make the Gulf of Maine a highly productive area. Nitrate is of particular interest as it is often the limiting nutrient. In other words, nitrate is often scarce in an ecosystem and therefore is the nutrient that puts a cap on the accumulation of biomass such as phytoplankton. However, recent observation and nutrient analysis in the Gulf of Maine has found that within the past 50 years nutrient sources have become more limited, impacting the entire ecosystem.  

              Figure 1. Map of Gulf of Maine

Since the 1970s, studies have shown a notable decrease in the abundance of nitrate in the Gulf of Maine. Along with this change, the deep waters in the Gulf of Maine have become cooler and less salty. In 2010, Townsend et al suggested  that these changes all originate from the accelerating melting of ice in the Arctic. Since salt does not freeze, when water freezes in the Arctic, the ice it forms is made of freshwater. As this freshwater melts at a faster rate than the Earth has previously seen, it changes the salinity of the water, making it fresher and therefore less dense. Deep ocean circulation is based on density and so with this change in density, comes a change in the way water circulates the planet. 

Given the changes in densities of water in the Arctic, a new source of water from the bottom of the Atlantic ocean carrying far less nutrients now supplies the Gulf of Maine.  With the changes in deep ocean circulation patterns, now water entering the Gulf of Maine passes closer to the bottom of the ocean. As this water passes the ocean floor, microbes in the sediment remove nitrogen from the water (for use as a nutrient), a process called denitrification. While this benefits ecosystems at the bottom of the deep ocean, by the time the water reaches the Gulf of Maine, much of the nitrate in the water has already been used. 

The Gulf of Maine will become less productive as ecosystems are supplied with low concentrations of nitrate for long periods of time. Phytoplankton, the first step of the food web, absorb these nutrients and use them for growth. Once phytoplankton are less abundant, animals that rely on them for food will begin to struggle. As nitrogen deficiency continues up the food chain, it will eventually reach the larger fish upon which we in Maine rely on for our food. The gradual loss of nitrogen rich waters to the Gulf of Maine is not only a sad reminder of climate change’s far reaching consequences, but also presents a growing issue for the fishing industry in Maine which relies on the productivity of the water. 

 

 

Work Cited

Townsend, D. W., Pettigrew, N. R., Thomas, M. A., Neary, M. G., McGillicuddy, D. J., & O’Donnell, J. (2015). Water masses and nutrient sources to the Gulf of Maine. Journal of Marine Research, 73(3), 93–122. doi:10.1357/002224015815848811

Fine-tuning of Chemotherapeutic Drug Reactions through Ruthenium Organic Complexes

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The development of cancer treatment reagents aims at optimizing the reactivity of the reagent with the cellular DNA while reducing the reactivity with other bodily sites. This is in order to maximize cytotoxicity to cancer cells while reducing the side effects associated with chemotherapy (Wang, 2005).

Organometallic complexes, organic compounds with one or more metallic central atoms, have been used to control the release of compounds involved in key biological reactions (Renfrew, 2014). In the context of cancer chemotherapy, cisplatin complexes have been successfully developed to react with guanosine 5’ monophosphate, or GMP, as a potential binding site in the cell’s DNA, while avoiding the reactions associated with side effects (Dasari, 2014 & Reedjik, 2003).

The development of chemotherapeutic reagents requires the fine-tuning of the ligand substitution reactions that the organometallic complex can undergo. Ligand substitution reactions are reactions where one or more of the substituents bonded to the metal atom in the organometallic complex are replaced by a compound from the surrounding environment. An example is shown in the figure below.

Fig 1. Example of an organometallic complex undergoing a ligand substitution reaction. When dissolved in pyridine, the chromium complex, [Cr(TPP)(Br)(H2O)], reacts with the solvent, and two of its ligands (Br and OH2) are replaced by pyridine compounds (Py) (Okada, 2012). 

In a 2005 study, a group of chemists tested multiple ligand-substitution reactions of Ruthenium (Ru) complexes to test the possibility of the development of a competitor for cisplatin in chemotherapy (Wang, 2005). The Ruthenium complex studied have “stool”-like structures with an arene upper part and a tetrahedral Ruthenium compound which contains the leaving group. The researchers use X-ray crystallography and other characterization methods to identify the structure of every ruthenium complex involved in the study.

Fig 2. The structure of the Ruthenium organometallic complexes tested in the study. The basic structure is shown on the upper left. The “arene” can be any of the structures shown, while the leaving group, X, can be any of the structures shown as well as a halide or pseudohalide (Wang, 2005). 

Given the high concentration of chloride anions in the bloodstream and the intercellular fluid, the substitution of X by chloride is a main mechanism by which the reagent is lost before it can attack cancer cells (Wang, 2005). Previous research has shown that hydrolysis (substitution of X by a water molecule) is an essential activation step in the reagent’s reaction with GMP (Chen, 2003). The researchers thus investigated how the choice of the arene and the leaving group within the ruthenium complex can affect the reaction rates such that the reagent is cytotoxic but is inactive before reaching its target site. 

The reaction rate with chloride was established by dissolving the complexes in a 104mM NaCl solution, mimicking the high-chloride media within the body, and monitoring the formation of the substitution reaction product using the same characterization methods involved in the identification of the complexes.

The hydrolysis rate was established by allowing the aqueous solutions of the complexes to equilibrate for 24-48 hours at 37°C, mimicking body temperature. The formation of the hydrolysis product was monitored using the same characterization methods. The reaction equilibria were determined using high-performance liquid chromatography. 

The reaction with GMP is believed to be the final step in the reagent’s activityagainst cancer cells. The reaction rate was established by dissolving 0.5mM of each complex in a 0.5mM aqueous GMP solution. The product formation rate was determined using the same methods as the other reactions.

The researchers summarized their key resultsin the table below:

The data show that complex 13, for example, has a faster reaction rate with chloride than GMP, and will, therefore, be lost before attacking cancer cells if it were to be used as a chemotherapyreagent. Data shows that complexes 15 and 17, on the other hand, react faster with water and GMP than chloride, which makes them more suitable for chemotherapy. Complex 1 can undergo hydrolysis and react with GMP at a relatively high rate. A key finding in this research is that complex 21 can bind to GMP without undergoing hydrolysis, skipping a previously thought required first step. 

The overall cytotoxicity of each complex was compared to cisplatin by determining the concentration of the complex which caused at least 50% inhibition in the growth of ovarian cancer cells, IC50 values. As previous research predicted, high hydrolysis rates correlated with high cytotoxicity (Chen, 2003). Cisplatin has IC50 = 0.6µM; chemotherapy reagents are considered to have good cytotoxic activity if they have IC50 < 18µM. Some of the same complexes discussed above, with the exception of complex 17 and 21 had IC50 values competitive with cisplatin (IC50 < 6µM). Furthermore, the studied Ru complexes exhibited cytotoxicity towards cisplatin-resistant ovarian cancer cells (Wang, 2005).

Overall, the results show that the rates of the reactions involved in chemotherapy can be fine tuned by the choice of the ligand within the ruthenium complex. These results can be used in the future development of novel chemotherapy reagents.  

Work Cited:

Chen, H., Parkinson, J. A., Morris, R. E., & Sadler, P. J. (2003). Highly selective binding of organometallic ruthenium ethylenediamine complexes to nucleic acids: novel recognition mechanisms. Journal of the American Chemical Society, 125(1), 173-186.

Dasari, S., & Tchounwou, P. B. (2014). Cisplatin in cancer therapy: molecular mechanisms of action. European journal of pharmacology, 740, 364-378.

Okada, K., Sumida, A., Inagaki, R., & Inamo, M. (2012). Effect of the axial halogen ligand on the substitution reactions of chromium (III) porphyrin complex. Inorganica Chimica Acta, 392, 473-477.

Reedijk, J. (2003). New clues for platinum antitumor chemistry: kinetically controlled metal binding to DNA. Proceedings of the National Academy of Sciences, 100(7), 3611-3616.

Renfrew, A. K. (2014). Transition metal complexes with bioactive ligands: mechanisms for selective ligand release and applications for drug delivery. Metallomics, 6(8), 1324-1335.

Wang, F., Habtemariam, A., van der Geer, E. P., Fernández, R., Melchart, M., Deeth, R. J., … & Sadler, P. J. (2005). Controlling ligand substitution reactions of organometallic complexes: Tuning cancer cell cytotoxicity. Proceedings of the National Academy of Sciences, 102(51), 18269-18274.

Unpacking the Ethical Implications of Human Germline Editing

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On December 30th, 2019, biophysicist Dr. He Jiankui was sentenced to three years in prison for forging ethical review documents and misleading doctors into unknowingly implanting gene-edited embryos into two women in China (Normile 2019). One of these women had a set of twins and the other had a single child. These children are now the first genetically modified humans in history to be resistant to HIV. They can pass this modification to the next generation, and their whereabouts are still unknown (Greely 2019). Jiankui used CRISPR/Cas9, a gene editing tool, to modify their germlines and edit the CCR5 gene, a contributor to broad immune responses (his focus was its importance to HIV viruses).

Based on the National Natural Science Foundation of China, there has been a total of 3.7 billion yuan (roughly $576 million) government spending on embryonic stem cell research from 1997 to 2019 (Lou 2021). Germline gene editing research is allowed, but establishing a pregnancy with genetically modified embryos has been outlawed by multiple regulations (Xinqing 2014). Similarly to China, the National Institutes of Health within the US estimates that human embryonic stem cell research has received $1.48 billion in government funding since 2009. There are no current laws or regulations that ban germline gene editing conducted through private funding within the US, but it would have to be approved by the FDA for marketing and clinical studies. No proposals have been submitted (​​Genetic Literacy Project 2019). Dr. Jiankui has since been disgraced by the scientific community around the world for his actions. Some scientists believe that germline gene editing is not only an unethical practice but a potentially dangerous one that could lead to a new era of eugenics with irreversible harm (Genetic Literacy Project 2019). Little is known about the intricate details of Dr. Jiankui’s experiment, but what has been revealed poses several hard-hitting ethical questions. Should we manipulate the next generation of humans? What are the ethical dilemmas in the advancement of this technology? To create an informed opinion on the matter, it is helpful to first understand the intricacies of Dr. Jiankui’s experiment, and how exactly he made the first genetically modified children.

Dr. Jiankui conducted human germline genome editing, which refers to the technique of modifying not only the genetic information of a subject but also what can be passed down to the next generation (Normile 2019). Germ cells can create a new generation (ex. sperm and eggs). So germ cells, and cells that produce germ cells, are known as the germline. These are different from somatic cells, which are body cells that continuously divide throughout a person’s lifetime and play a minimal role in gene inheritance (Greely 2019). Certain alleles or alterations to CCR5 within the human genome can provide resistance to HIV. Thus, Jiankui used CRISPR to alter CCR5 in HIV-susceptible patients to make them resistant to the disease.

CRISPR, which stands for clustered regularly interspaced short palindromic repeats, is a technique originally found in bacteria as a defense system to render inserted viral DNA ineffective. It also allows for the modification of DNA (Rapini 2023). The enzyme Cas-9 can cut pieces of DNA and is guided to its location based on an attached strand of RNA (called the guide RNA strand). By cutting a targeted sequence of DNA, it can render protein-coding genes inactive or disfunctional. After Cas-9 has cut the target DNA, researchers can choose to place a modified DNA sequence in the vacant space (Fig 1).

Figure 1. The editing technique of CRISPR involves the guide RNA strand, guide RNA sequence, Cas-9 enzyme, and target DNA (Roach 2015).

While little is known about Dr. Jiankui’s specific technique in using the CRISPR/Cas-9 system, we know that he modified the gene CCR5 (Greely 2019). CCR5 is a gene on chromosome 3 that encodes for a protein called C-C chemokine receptor type 5 (also shortened to CCR5) (Normile 2019). CCR5, along with another receptor called CD4, is utilized by the HIV virus to bind to bacteria-detecting/destruction cells called macrophages (white blood cells) and infect them. The HIV virus protein envelope binds to the primary receptor CD4 on the macrophage with the gp120 protein, which are exterior “protective” protein around the HIV cell. If the CCR5 coreceptor is present as well, it can successfully enter the macrophage, release viral RNA and enzymes, and infect the macrophage. This infection alters the function of the macrophage, causing it to assemble and release viruses. Eventually, the gene that codes for the gp120 receptor is altered by a mutation and can now bind to a different co-receptor called CXCR4 which is found on the CD4 plus T-cells. (Prakash 2019). The same process of virus construction occurs within T-cells, but as the viruses leave the T-cell it ruptures the plasma membrane. This kills the T-cells, causing a weakened immune response and eventually resulting in the onset of AIDS.

Figure 2. The mechanism by which the HIV viral envelope infects the macrophage creates mutated viral cells with different gp120 receptors and destroys T-cells. (Prakash 2019) 

It is believed that Dr. Jiankui used the CRISPR/Cas-9 system to delete 32 base pairs of the CCR5 gene, therefore making it produce non-functional copies of the CCR5 protein. This was done in the hope that HIV would be unable to infect the white blood cells of the babies born from the embryos (Normile 2019). If Jiankui only modified somatic cells using this technique, the children may or may not have gained protection against HIV and could not pass it down to the next generation.

In 2015 (before He’s experiment was released) Jennifer Doudna, one of two researchers who published their findings on CRISPR, convened with the U.C Berkeley’s Institute for Genome Innovation, which was composed of Nobel laureates and esteemed professors of bioethics. They concluded that conducting germline editing would be irresponsible until matters such as balancing the potential risks and benefits have been concluded and that there is a broad societal consensus about the appropriate use of proposed applications of this technology (Cohan, 2018). Jennifer Doudna and Emmanuelle Charpentier created this technology to find ways to edit out faulty genes and cure diseases at the source—within our genetic code (Doudna 2019). However, after the release of He’s experiment, Doudna publicly stated her evolving concerns relating to this application of her discovery. During her national press tour in 2019, she shared a frightening dream she had in which a colleague of her’s asked about CRISPR but later turned out to be Hitler (Than 2019). This likely stems from the horrifying history of Nazis and the eugenics movement, which stemmed from the idea of improving the genetic quality of humans and sterilizing and or eliminating those with unfavorable traits. She also voiced that her opinion on germline genome editing has been evolving from an outright ban to warranting it in certain circumstances. However, her underlying opinion remains that it would have to be under transparent and safe circumstances and concern a medical need that was unmet by any technology. In addition to Doudna, countless other scientists have come out in disagreement with He Jianku’s work including researchers from Stanford University, Harvard Medical School, and the NIH (Cohen 2018). Specifically, a journalist from Science magazine states that representatives from eight countries who attended the International Summit on Human Genome Editing in Hong Kong came to a consensus that his actions were irresponsible, violated international norms, lacked transparency, and did not have sufficient medical justification (Cohen 2018).

Jennifer Doudna stated that her goal was to edit out faulty genes, but that definition leaves a lot to interpretation. How can we as a society come together to define the parameters of a faulty gene? From treating HIV to Down Syndrome, these conditions hold more than just health implications, but social ones as well. If the scientific community deems it accessible to prevent Down syndrome using human germline genome editing, are they stating that humans that currently possess this condition are “wrong” and have “faulty genes” in need of correction? Whoever holds the power to manipulate this technology essentially has the power to decide what the next generation of humans will be capable of and what genes are deemed “faulty” within our society. Jianku’s reckless use of technology was majorly deemed wrong for its lack of transparency, safety, and following set regulations upheld by currency bioethical standards. However, in situations like parents wanting their children to be healthy, it is completely understandable that human germline editing sounds like an intriguing way to protect their children. For these reasons, it is imperative to familiarize ourselves with the development of this technology, and its continued push for regulations across the world to maintain ethical standards. Further, it is also important to ask ourselves hard-hitting questions such as: should one person, scientist, or government have the power to determine what the next generation will possess, look like, or become? We as members of society must continue to stay informed in a world with the capacity to genetically modify human beings.

References:

  1. Bhanu Prakash. “How the HIV Infection Cycle Works.” Proceum Pvt. Ltd. January 2019. https://www.youtube.com/watch?v=GyofqO1TRjU
  2. Brianna Rapini, Sarina Peterson, “Genetic Engineering.” September 2023. https://www.youtube.com/watch?v=CDw4WPng2iE
  3. Dennis Normile. “Chinese scientist who produced genetically altered babies sentenced to 3 years in jail.” Science. December 2019.https://www.science.org/content/article/chinese- scientist-who-produced-genetically-altered-babies-sentenced-3-years-jail
  4. Deng Luo, Zihui Xu, Zhongjing Wang, Wenzhuo Ran. “China’s Stem Cell Research and Knowledge Levels of Medical Practitioners and Students.” Stem Cells International. 2021. https://doi.org/10.1155/2021/6667743.
  5. Doudna J. 2019. Faculty Research Page. Department of Molecular & Cell Biology. http://mcb.berkeley.edu/faculty/BMB/doudnaj.html.
  6. Dylan Roach, Tanya Lewis. “CRISPR, the gene-editing tech that’s making headlines, explained in one graphic.” Insider. December 2015. https://www.businessinsider.com /crispr-gene-editing-explained-2015-12
  7. Genetic Literacy Project. 2019 July 23. United States: Germline / Embryonic. Global Gene Editing Regulation Tracker. https://crispr-gene-editing-regs-tracker.geneticliteracy project.org/united-states-embryonic-germline-gene-editing/.
  8. Henry T Greely. “CRISPR’d babies: human germline genome editing in the ‘He Jiankui affair.’” Journal of Law and the Biosciences. Volume 6, Issue 1. October 2019, Pages 111–183, https://doi.org/10.1093/jlb/lsz010
  9. Indra Mani. “CRISPR-Cas9 for treating hereditary diseases.” Progress in molecular biology and translational science. Volume 181. February 2017. https://pubmed.ncbi.nlm.nih.gov/34127193/
  10. John Cohen. “After last week’s shock, scientists scramble to prevent more gene-edited babies.” Science. December 2018.https://www.science.org/content/article/after-last- weeks-shock-scientists-scramble-prevet-more-gene-edited-babies
    Join David Ignatius. “Walter Isaacson & Jennifer Doudna join Washington Post Live to discuss CRISPR.” Washington Post. March 2021. https://www.youtube.com/ watch?v=cKHuuALENZk
  11. Than K. 2019 Nov 12. AI and gene-editing pioneers to discuss ethics. Stanford News. [accessed 2023 Dec 3]. https://news.stanford.edu/2019/11/12/ai-gene-editing-pioneers- discuss-ethics/#:~:text=Doudna%20decried%20the%20act%20but.
  12. Yi Zheng et al. “Structure of CC Chemokine Receptor 5 with a Potent Chemokine Antagonist Reveals Mechanisms of Chemokine Recognition and Molecular Mimicry by HIV.” Immunity. Volume 46, Issue 6. June 2017. https://www.cell.com/immunity /pdf/S1074-7613(17)30218-2.pdf
  13. ‌Zhang Xinqing, Zhang Wenxia, Zhao Yandong. “The Chinese Ethical Review System and its Compliance Mechanisms.” TRUST. September 2014. https://trust-project.eu/ wp-content/uploads/2016/03/Chinese-Ethics-Review-System.pdf

Inverse Vaccines: A New Way to Treat Autoimmune Disorders

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Williams, 2023

Of the 8.1 billion people in the world, 1 in 10 have an autoimmune disorder. There are 8.1 billion people in the world, and 810 million of these people, or 1 in 10, have an autoimmune disorder (“1 in 10 people”, 2023). Autoimmune disorders are a category of conditions in which the body attacks itself. Although management systems for most of these types of conditions have been developed, autoimmune diseases still cannot be cured (“Autoimmune disorders”). In fact, even with management of their symptoms, up to 50% of patients with autoimmune disorders still experience impairment in their health-related quality of life (Pryce and Fontana, 2017). The development of so-called “inverse vaccines” may provide the much needed mechanism to help find a cure for this class of conditions by teaching the body not to attack itself. 

A traditional vaccine works because it helps the body learn to recognize parts of foreign pathogens and builds up the body’s immune response against these pathogens so that the response is stronger and happens more quickly after recognition. In people with autoimmune diseases, the body also forms an immune response against self molecules because it mistakenly identifies them as foreign antigens, or pathogenic molecules (usually proteins or sugars) that induce an immune response. The idea behind “inverse vaccines” is that instead of building up the immune system’s response to foreign antigens, they could suppress the response to self-antigens by helping to teach the body to recognize these misidentified molecules as self. 

A study led by Andrew Tremain at the University of Chicago’s Pritzker School of Medicine is one of the groups who are involved in this novel inverse vaccine research. The inverse vaccines they developed contain modified copies of the self-antigens that are targeted by the immune system which are attached to long chains of sugars called polysaccharides (Tremain et al., 2023). These polysaccharide chains guide the self-antigens to the liver, which plays an important role in the establishment of tolerance to these molecules. Once these modified self-antigens arrive at the liver, specialized immune cells pick them up and then inhibit the action of T cells against them through T cell uptake (Leslie, 2023). T cells are a type of immune cell that carry out part of the typical response against molecules identified as foreign or invaders through either cytotoxic or signaling based immune responses. The inhibition of the T cell response against misidentified self-antigens reduces or prevents the autoimmune response that causes the body to attack itself, thereby acting as a kind of “inverse vaccine”. 

Once Tremain et al. developed their inverse vaccine, they conducted testing to determine its efficacy and viability as a method for increasing tolerance to self-antigens in those with autoimmune disorders. First, they wanted to ascertain whether inverse vaccines could truly provide inhibition of an immune response. To do this, they injected an egg white protein into mice as an experimental foreign antigen to trigger a strong immune response. Then an inverse vaccine against the egg white protein was injected to suppress the response to the original dose of the protein. In their analysis, they found that the T cells that would’ve responded to the egg white protein were not present. These results suggested that the inverse vaccine blocked the typical immune response, demonstrating viability as a treatment method against stimulated immune responses (Tremain et al. 2023).

However, Tremain and his colleagues still had to demonstrate the efficacy of inverse vaccines in inhibiting an autoimmune response rather than one caused by a foreign antigen. To do this, they induced an autoimmune disease called experimental autoimmune encephalomyelitis (EAE) in mice. In EAE, the immune system attacks myelin, the substance responsible for forming insulation around nerve cell axons. EAE is a particularly informative experimental model in mice because it mimics multiple sclerosis (MS), a human autoimmune disorder. Once they induced EAE, Tremain et al. injected an inverse vaccine made up of a polysaccharide carrying part of a myelin protein. Physiological analysis after injection suggested that this treatment had stopped mice from developing EAE. Furthermore, injection of a different inverse vaccine targeting an alternate form of EAE showed prevention of symptom relapse. This means that Tremain et al. were able to demonstrate inhibition of autoimmune responses against two types of EAE in mice, representing two different types of MS, providing a heartening outlook on this research (Tremain et al., 2023). 

In summary, inverse vaccines had the ability to turn off immune responses to particular antigens in mice. These results are a promising sign for the ability of inverse vaccines to combat autoimmune diseases. Additionally, initial clinical trials testing the safety and efficacy of inverse vaccine strategy to increase tolerance to self-antigens in humans have had positive results so far for immune disorders such as multiple sclerosis and celiac disease where the misidentified self-antigens are known (Leslie, 2023). However research into tolerance-increasing strategies tends to stall both because we do not know which self-antigens are attacked in several autoimmune disorders, and because the mechanisms that produce tolerance after antigens are brought to the liver are not well understood (“Immune Tolerance”). This means that even if autoimmune vaccines prove to be a viable form of treatment for autoimmune disorders, they will only be able to treat diseases with known self-antigens until further research into the antigen and tolerance mechanisms is conducted. Nevertheless, inverse vaccine research is incredibly promising and has the potential to help hundreds of millions of people worldwide.

Works Cited

Pryce, CR., and Fontana, A. (2017). Depression in autoimmune diseases. Current Topics in Behavioral Neurosciences, 31. https://doi.org/10.1007/7854_2016_7 

1 in 10 people suffer from autoimmune diseases. (2023). Neuroscience News.  https://neurosciencenews.com/population-autoimmune-disease-23198/ 

Autoimmune disorders. (n.d.). Retrieved November 5, 2023, from  http://www.betterhealth.vic.gov.au/health/conditionsandtreatments/autoimmune-disorders

Tremain, A.C., Wallace, R.P., Lorentz, K.M. et al. Synthetically glycosylated antigens for the antigen-specific suppression of established immune responses. Nat. Biomed. Eng 7, 1142–1155 (2023). https://doi.org/10.1038/s41551-023-01086-2 

Leslie, M. (2023). ‘Inverse vaccine’ could help tame autoimmune diseases, Science. https://www.science.org/content/article/inverse-vaccine-could-help-tame-autoimmune-diseases 

Immune Tolerance in Autoimmune Disease, Immune Tolerance Network. (n.d). Retrieved November 5, 2023, from https://www.immunetolerance.org/researchers/clinical-trials/autoimmune-disease 

Understanding Multiple Sclerosis, Oregon Health and Science University. Retrieved November 5, 2023, from  https://www.ohsu.edu/brain-institute/understanding-multiple-sclerosis 

Williams, S. (2023). “Inverse vaccine” shows potential to treat multiple sclerosis and other autoimmune diseases. Pritzker School of Molecular Engineering,  The University of Chicago. https://pme.uchicago.edu/news/inverse-vaccine-shows-potential-treat-multiple-sclerosis-and-other-autoimmune-diseases

Plant Talk: Eavesdropping on Underground Plant Communication

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Have you ever looked at a tiny sapling, a winding vine, or a massive oak tree and felt like they have some sort of personality? With the rustle of some leaves or the snap of a twig it might seem like these plants are talking to each other. As it turns out, these fantasies aren’t too far from the truth. Vascular plants (which consist of most plants other than mosses and algae) can actually communicate. These plants can exchange messages through their root systems with the help of mycorrhizal fungi. These fungi exist in a mutualistic relationship with plants and, along with acting as a living walkie talkie, they provide many survival benefits to the plants they live with. 

To be clear, vascular plants aren’t chatting in some sort of plant language in the same way that we talk to each other. Instead, they communicate through the transfer of infochemicals. “Infochemical” is an umbrella term for substances released by one plant and detected by another (Chen 2018). Infochemicals can take the form of plant hormones or nutrients and are passed between plants through the soil. The problem with this system is that transport through the soil is incredibly inefficient. When infochemicals move from plant to plant, they can quickly be absorbed by organic material or degrade in the soil such that they do not reach the intended “listener” plant. This is where mycorrhizal fungi come into play.

Mycorrhizal fungi (MF) are distinguished from other fungi by the symbiotic relationship that they have with plant roots. MF attach to plant roots and perform beneficial services for the plant in return for the carbon necessary for MF’s survival. MF networks add large amounts of surface area to plant root systems, allowing for the more efficient uptake of nutrients to the plants such as nitrogen, phosphorus, and carbon. The MF relationship increases efficiency of water collection, enhances photosynthesis, and improves resistance to pathogens. (Barto 2012). 

When it comes to plant communication, MF act as “superhighways” for the infochemicals to travel from plant to plant. Instead of having to travel through the soil, infochemicals can be safely transported between plants through common mycorrhizal networks (CMNs). CMNs are made up of interconnected networks of fungal branches, which span the distance between plant roots (Chen 2018). These networks are not exclusive to one species of plant because MF are not host specific and therefore can associate with multiple species at the same time. This allows for messages, in the form of infochemicals, to be passed efficiently between plants of varying species. This method is exponentially more efficient than infochemical transport through the soil, allowing plants to communicate much easier.

You might be wondering, what do these plants have to talk about? It turns out, they have a whole lot to discuss. The world can be a dangerous place and plants use these CMN superhighways as an emergency warning system to let neighboring plants know about potential threats. A plant that experiences a disturbance, such as infection by a pathogen or herbivore attack, can send signals to surrounding plants to let them know of the potential danger. The plants receiving the message can then increase their defense to better prepare for the threat. This exact phenomenon has been observed in neighboring plants where one plant is infected with a pathogen, and then surrounding uninfected plants respond to infochemical signals by activating defense proteins (Chen 2018).

Beyond plant defense, there is still a lot to learn about how plants are communicating and what kinds of things they are “talking” about. There are still questions to be answered such as how plant relatedness impacts infochemical transfer or how far these networks can span underground. If we continue to eavesdrop on this “plant talk” then we can start to understand the interconnected nature of plant communities even better.

Works Cited

Barto, E. K., Weidenhamer, J. D., Cipollini, D., & Rillig, M. C. (2012). Fungal superhighways: do common mycorrhizal networks enhance below ground communication?. Trends in plant science, 17(11), 633–637. https://doi.org/10.1016/j.tplants.2012.06.007

Chen, M., Arato, M., Borghi, L., Nouri, E., & Reinhardt, D. (2018). Beneficial Services of Arbuscular Mycorrhizal Fungi – From Ecology to Application. Frontiers in plant science, 9, 1270. https://doi.org/10.3389/fpls.2018.01270

Bonazzi, D. (2021). The secret underground life of trees. Weizmann Compass. Retrieved December 3, 2023, from https://www.weizmann.ac.il/WeizmannCompass/sections/features/the-secret-underground-life-of-trees.