Computational & Systems Biology Program
The Christina Leslie Lab
Our lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. We seek to exploit diverse, high-throughput functional and genomic data to understand the molecular networks underlying fundamental cellular processes, including regulation of transcription, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Our algorithmic methods draw on machine learning, a computational field concerned with learning accurate, predictive models from noisy and high-dimensional data.
CRISPR screening uncovers a central requirement for HHEX in pancreatic lineage commitment and plasticity restriction. Yang D, Cho H, Tayyebi Z, Shukla A, Luo R, Dixon G, Ursu V, Stransky S, Tremmel DM, Sackett SD, Koche R, Kaplan SJ, Li QV, Park J, Zhu Z, Rosen BP, Pulecio J, Shi ZD, Bram Y, Schwartz RE, Odorico JS, Sidoli S, Wright CV, Leslie CS, Huangfu D.Nat Cell Biol. 2022 Jul;24(7):1064-1076. doi: 10.1038/s41556-022-00946-4. Epub 2022 Jul 4.PMID: 35787684
Cytotoxic innate lymphoid cells sense cancer cell-expressed interleukin-15 to suppress human and murine malignancies. Kansler ER, Dadi S, Krishna C, Nixon BG, Stamatiades EG, Liu M, Kuo F, Zhang J, Zhang X, Capistrano K, Blum KA, Weiss K, Kedl RM, Cui G, Ikuta K, Chan TA, Leslie CS, Hakimi AA, Li MO.Nat Immunol. 2022 Jun;23(6):904-915. doi: 10.1038/s41590-022-01213-2. Epub 2022 May 26.PMID: 35618834
Globin vector regulatory elements are active in early hematopoietic progenitor cells. Cabriolu A, Odak A, Zamparo L, Yuan H, Leslie CS, Sadelain M.Mol Ther. 2022 Jun 1;30(6):2199-2209. doi: 10.1016/j.ymthe.2022.02.028. Epub 2022 Mar 2.PMID: 35247584
Base editing sensor libraries for high-throughput engineering and functional analysis of cancer-associated single nucleotide variants. Sánchez-Rivera FJ, Diaz BJ, Kastenhuber ER, Schmidt H, Katti A, Kennedy M, Tem V, Ho YJ, Leibold J, Paffenholz SV, Barriga FM, Chu K, Goswami S, Wuest AN, Simon JM, Tsanov KM, Chakravarty D, Zhang H, Leslie CS, Lowe SW, Dow LE.Nat Biotechnol. 2022 Jun;40(6):862-873. doi: 10.1038/s41587-021-01172-3. Epub 2022 Feb 14.PMID: 35165384
Programme of self-reactive innate-like T cell-mediated cancer immunity. Chou C, Zhang X, Krishna C, Nixon BG, Dadi S, Capistrano KJ, Kansler ER, Steele M, Han J, Shyu A, Zhang J, Stamatiades EG, Liu M, Li S, Do MH, Edwards C, Kang DS, Chen CT, Wei IH, Pappou EP, Weiser MR, Garcia-Aguilar J, Smith JJ, Leslie CS, Li MO.Nature. 2022 May;605(7908):139-145. doi: 10.1038/s41586-022-04632-1. Epub 2022 Apr 20.PMID: 35444279
Christina Leslie, PhD
Member, Computational & Systems Biology Program
- Computational biologist Christina Leslie focuses on developing machine learning algorithms for computational and systems biology.
- PhD, University of California, Berkeley
- Introduction of string kernel methodology for SVM classification of biological sequences
- Development of algorithms for predictive modeling of gene regulation
- First systems-level analyses of competition between microRNAs and between target transcripts
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Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.
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Christina Leslie discloses the following relationships and financial interests:
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