Computational Biology Archives - Sanford Burnham Prebys

Xueqin (Sherine) Sun seeks to better understand the genetic and epigenetic underpinnings of cancers, using genome editing technologies, animal and patient-derived models, and other tools to develop more effective cancer therapies.

“My lab is interested in studying how DNA or the machinery that interprets it leads to the transformation of normal cells into cancerous cells and concurrently, their specific vulnerabilities. Identifying these intrinsic vulnerabilities and targeting them properly is profoundly important to developing effective cancer therapies.”

Another aspect of Sun’s work is understanding how cancer cells and tumors change their circumstances and environment to improve survival, including hiding from or repressing the immune system.

“Changes to DNA itself and the way how DNA is interpreted by cells can transform normal cells into cancer cells. And transformed cells propagate by enhancing the misinterpreted DNA information, which in turn becomes the Achilles’ heel of cancer cells. Our goal is to find out how DNA information is misinterpreted in different ways and how to correct it to halt cancer.”

At Sanford Burnham Prebys, Sun and colleagues will employ a host of leading-edge tools and approaches, including functional genomics, artificial intelligence, structural biology, large-scale drug screening, and advanced imaging/spatial technologies.

Sun conducted her postdoctoral fellowship at Cold Spring Harbor Laboratory under the guidance of Alea Mills, PhD, a professor at the National Cancer Institute-designated cancer center at Cold Spring Harbor.

She received her PhD from Wuhan University in China.

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Dr. Sanju Sinha earned his Bachelor of Technology in Bioengineering at the Indian Institute of Technology in Guwahati, India. He recently completed his postdoctoral research and PhD in computational biology at the National Cancer Institute (NCI) with Dr. Eytan Ruppin with a co-mentorship of Dr. Brid Ryan during his PhD His PhD was earned in a joint University of Maryland and NCI program.

“At the core of my work is the desire to make a lasting impact on patient’s lives, offering patients not just better treatment, but an opportunity to avoid the disease altogether. Sanford Burnham Prebys is renowned for its work in understanding aging and developing new drugs—two areas that are key to my research. This makes it the perfect place for what I’m hoping to achieve.”

Education

2021: PhD, Computational Biology, University of Maryland and National Cancer Institute
2016: B.Tech., Bioengineering, Indian Institute of Technology, Guwahat

Honors and Recognition

2023: Top Five Outstanding NCI Postdoctoral Fellow 
2023: Transition to Industry Fellowship 
2021: Emerging Leaders of Computational Oncology by MSKCC. 
2020: NCI Outstanding PhD award
2020: NCI CCR milestone 
2019: NCI Fellows Award for Research Excellence 

Our Machine Learning Resources

A list of almost all the big data resources available in cancer research

Computational resources to study immune system

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Lukas Chavez is an Associate Professor at the Sanford Burnham Prebys. He is also the Director of the Clayes Research Center for Neuro-Oncology at the Institute for Genomic Medicine at the Rady Children’s Hospital, San Diego. In this role, he works with a team of physicians and scientists to capture genomic, transcriptomic, epigenetic and functional data from pediatric brain tumor patients, and uses this information to improve diagnosis and treatment. His research interests focus on structural variants as well as circular extrachromosomal DNA (ecDNA) in childhood cancers. These extrachromosomal DNA circles are frequently found in highly aggressive solid tumors and represent a new target for improved therapeutic approaches.

Education

2010: PhD, Free University, Berlin

Honors and Recognition

2020: St. Baldrick’s Scholar Award, St. Baldrick’s Foundation
2019: Award of Excellence in Pediatric Neuro-Oncology, Society of Neuro-Oncology
2012–2015: Feodor-Lynen Fellowship for Postdoctoral Researchers, Alexander-von-Humboldt Foundation

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3D genome mapping identifies subgroup-specific chromosome conformations and tumor-dependency genes in ependymoma.

Okonechnikov K, Camgöz A, Chapman O, Wani S, Park DE, Hübner JM, Chakraborty A, Pagadala M, Bump R, Chandran S, Kraft K, Acuna-Hidalgo R, Reid D, Sikkink K, Mauermann M, Juarez EF, Jenseit A, Robinson JT, Pajtler KW, Milde T, Jäger N, Fiesel P, Morgan L, Sridhar S, Coufal NG, Levy M, Malicki D, Hobbs C, Kingsmore S, Nahas S, Snuderl M, Crawford J, Wechsler-Reya RJ, Davidson TB, Cotter J, Michaiel G, Fleischhack G, Mundlos S, Schmitt A, Carter H, Michealraj KA, Kumar SA, Taylor MD, Rich J, Buchholz F, Mesirov JP, Pfister SM, Ay F, Dixon JR, Kool M, Chavez L

Nat Commun 2023 Apr 21 ;14(1):2300

The landscape of genomic alterations across childhood cancers.

Gröbner SN, Worst BC, Weischenfeldt J, Buchhalter I, Kleinheinz K, Rudneva VA, Johann PD, Balasubramanian GP, Segura-Wang M, Brabetz S, Bender S, Hutter B, Sturm D, Pfaff E, Hübschmann D, Zipprich G, Heinold M, Eils J, Lawerenz C, Erkek S, Lambo S, Waszak S, Blattmann C, Borkhardt A, Kuhlen M, Eggert A, Fulda S, Gessler M, Wegert J, Kappler R, Baumhoer D, Burdach S, Kirschner-Schwabe R, Kontny U, Kulozik AE, Lohmann D, Hettmer S, Eckert C, Bielack S, Nathrath M, Niemeyer C, Richter GH, Schulte J, Siebert R, Westermann F, Molenaar JJ, Vassal G, Witt H, ICGC PedBrain-Seq Project, ICGC MMML-Seq Project, Burkhardt B, Kratz CP, Witt O, van Tilburg CM, Kramm CM, Fleischhack G, Dirksen U, Rutkowski S, Frühwald M, von Hoff K, Wolf S, Klingebiel T, Koscielniak E, Landgraf P, Koster J, Resnick AC, Zhang J, Liu Y, Zhou X, Waanders AJ, Zwijnenburg DA, Raman P, Brors B, Weber UD, Northcott PA, Pajtler KW, Kool M, Piro RM, Korbel JO, Schlesner M, Eils R, Jones DTW, Lichter P, Chavez L, Zapatka M, Pfister SM

Nature 2018 Mar 15 ;555(7696):321-327

Therapeutic targeting of ependymoma as informed by oncogenic enhancer profiling.

Mack SC, Pajtler KW, Chavez L, Okonechnikov K, Bertrand KC, Wang X, Erkek S, Federation A, Song A, Lee C, Wang X, McDonald L, Morrow JJ, Saiakhova A, Sin-Chan P, Wu Q, Michaelraj KA, Miller TE, Hubert CG, Ryzhova M, Garzia L, Donovan L, Dombrowski S, Factor DC, Luu B, Valentim CLL, Gimple RC, Morton A, Kim L, Prager BC, Lee JJY, Wu X, Zuccaro J, Thompson Y, Holgado BL, Reimand J, Ke SQ, Tropper A, Lai S, Vijayarajah S, Doan S, Mahadev V, Miñan AF, Gröbner SN, Lienhard M, Zapatka M, Huang Z, Aldape KD, Carcaboso AM, Houghton PJ, Keir ST, Milde T, Witt H, Li Y, Li CJ, Bian XW, Jones DTW, Scott I, Singh SK, Huang A, Dirks PB, Bouffet E, Bradner JE, Ramaswamy V, Jabado N, Rutka JT, Northcott PA, Lupien M, Lichter P, Korshunov A, Scacheri PC, Pfister SM, Kool M, Taylor MD, Rich JN

Nature 2018 Jan 4 ;553(7686):101-105