The Ultimate Goal: Applying Newt Regeneration to Humans

    I am currently a postbaccalaureate researcher in the Hafler lab at Yale Medical school. Dr. Hafler is well known for his research on MS (Multiple Sclerosis), a debilitating autoimmune disease of the central nervous system. Thanks to his work we have a much greater understanding of the risk factors involved with the disease’s onset and much more effective treatments against its progression.

    My responsibilities in lab are split across all three of my passions: wetlab research, computational analysis, and clinical investigation. My wetlab responsibilities include work under the fume hood isolating Peripheral Blood Mononucleated Cells (PBMCs; these are T cells, B cells, NK cells, and monocytes) from patients with brain tumors for the TIGIT clinical trial. Our goal with this work is to understand the differences in immune response between patients whose tumors originated in the brain (glioblastoma) versus those whose tumor metastasized from elsewhere (brain metastases). Interestingly, patients whose tumor originated elsewhere currently have, on average, much better responses to current treatments and the reasons why are not fully understood.

    Additionally, I assist the lab with computational analysis of TCR and BCR (T/B cell receptors, which are types of immune cells) sequences. This is important as these receptors will change depending on the immune response generated, allowing for a greater understanding of how the immune system is reacting to the conditions presented to it. Otherwise, I also perform sc-RNAseq (single-cell RNA sequencing), pseudotime, and RNA velocity analysis, a subset of this field devoted to inferring developmental directionality by understanding how transcriptional rates are changing within cells. This allows us to understand gene expression, and, more informally, what the cells are doing at any one time and what they might do soon. Very recently, I am also exploring spatial proteomic image analysis, which is an actively developing field. On an as-needed basis I assist other lab members with computational needs, such as troubleshooting their computational pipelines and database management. My work has already led to a co-authorship on an article currently in the process of publication, so the link will be here shortly!

    Last but certainly not least, I am involved with consenting patients for clinical studies being conducted by Yale Neurology. I thank every patient who has the generosity to donate research samples, as these contributions are how we advance the fields of neurology and immunology to everyone’s benefit. I truly enjoy patient interaction as it brings medical research to life for me. There’s no greater feeling than making an immediate difference in a patient’s day.

    My first research experience was the final portion of a year long genetics course at Exeter. The fall term assumed no prior genetics knowledge and provided an introduction to heritability, mendelian genetics, and concepts including dominance, recessiveness, incomplete dominance, and codominance. With this information we solved complex heritability problems, learned about the Hardy-Weinberg equilibrium, and began to explore the molecular basis for the phenomena we observed. Throughout the winter term we went into great detail about many of the classic mechanisms of gene regulation throughout all living organisms, ranging from Rho factor in bacteria to chromatin compaction in eukaryotes (more complex organisms such as people, plants, and anything else multicellular).

    The spring section of the course was the research experience created by Stanford University. To be able to take this section one had to apply to the course specifically, featuring a 25% acceptance rate amongst students from Exeter dependent on the student’s grades, recommendations from previous biology and chemistry teachers, and a personal statement. I was unbelievably grateful to be admitted to the course and begin my career as a scientist.

    I was first responsible for husbandry of four drosophila melanogaster breeding lines while class time revolved around understanding the genetic modifications they had. Each line had the same transposable element, the P element, but due to its transposable nature it could move around throughout the genome as different generations of flies came and went in each line. After a few generations, we were told to be on the lookout for “hallelujah males” - male flies which had the transposable element stabilized due to their configuration of homozygous lethal chromosomes. With our lines stabilized to halt further P element movement, we could then characterize the location by sequencing the element and the surrounding portion of the genome. However, since the P element could be nearly anywhere in the genome, we had to be innovative: inverse PCR allowed us to “snip” out the P element and a small portion of the surrounding region, which we could then sequence. We were taught this technique along with fly larva dissection, immunohistochemistry, and immunofluorescence to further study our P element’s expression (usage). Since the P element contained GFP (Green Fluorescent Protein) we could see where the gene was actively being read simply by looking at which parts of the larva lit up. One of my lines had the P element insert next to a gene regulating proton pumps in neurons. The dissection of its brain is the background image for this experience. I am incredibly proud to say that this work resulted in me being listed as a co-author on the paper, which can be found here and cited as follows:

Lutz Kockel, Griffin C, Ahmed Y, et al. An Interscholastic Network To Generate LexA Enhancer Trap Lines inDrosophila. G3: Genes, Genomes, Genetics. 2019;9(7):2097-2106. doi:https://doi.org/10.1534/g3.119.400105