Working in the comparative oncology field to study spontaneous development of glioma in Canis familiaris or dogs with emphasis on characterizing and comparing cancer genome and transcriptome to that in human glioma.
Dr. Amin received his Ph.D. in cancer computational biology from Baylor College of Medicine, Houston, TX in 01/2017. His thesis work was carried out at the UT MD Anderson Cancer Center, and was focused on understanding long non-coding RNA interactions in the context of chromatin organization using integrated analyses of publically available expression, epigenomic and chromatin interaction data. Before completing Ph.D., Dr. Amin received research training (2008-2011) in computational biology at the Dana-Farber Cancer Institute, Boston, MA where he worked on the assessment of gene expression profiling as predictive biomarker in multiple myeloma. Previously, Dr. Amin received his first professional degree in medicine, MBBS from the Medical College of Maharaja Sayajirao University of Baroda, Vadodara, India in 2005.
Prof. John J. Trentin Award for Scholastic Excellence
2012 Baylor College of Medicine, Houston, TX
Deribe, Y. L.; Shi, Y.; Rai, K.; Nezi, L.; Amin, S. B.; Wu, C.; Akdemir, K. C.; Mahdavi, M.; Peng, Q.; Chang, Q. E.; Hornigold, K.; Arold, S. T.; Welch, H. C. E.; Garraway, L. A.; and Chin, L. Truncating PREX2 mutations activate its GEF activity and alter gene expression regulation in NRAS-mutant melanoma. Proceedings of the National Academy of Sciences, 201513801. February 2016.
Amin SB, Yip W-K, Minvielle S, Broyl A, Li Y, Hanlon B, et al. Gene expression profile alone is inadequate in predicting complete response in multiple myeloma. Leukemia. 2014;28:2229–34.
Yan Z, Shah PK, Amin SB, Samur MK, Huang N, Wang X, et al. Integrative analysis of gene and miRNA expression profiles with transcription factor-miRNA feed-forward loops identifies regulators in human cancers. Nucleic Acids Res. 2012;40:e135.
Tian Z, Zhao J-J, Tai Y-T, Amin SB, Hu Y, Berger AJ, et al. Investigational agent MLN9708/2238 targets tumor-suppressor miR33b in MM cells. Blood. 2012;120:3958–67.
Fulciniti M, Amin S, Nanjappa P, Rodig S, Prabhala R, Li C, et al. Significant biological role of sp1 transactivation in multiple myeloma. Clin. Cancer Res. 2011;17:6500–9.
I'm interested in using computational biology to understand how genetic variation influences diseases and aging.
Single cell Transcriptomics, 3D Genomics
My goal is to use viral metagenomics to understand the complex interactions between viruses and their hosts.
As 1 in 10 people are at increased risk for cancer, but often go undetected, knowing who these people are can lead to personalized...
Computational analysis of high throughput sequencing data to improve our understanding of tumor biology and evolution.
Deploys next-generation sequencing techniques to understand brain tumor biology and telomere mechanics
Bridges the digital biology divide, by integrating computation and informatics with biomedical research.
Investigating genetics/mechanisms of recombination and role of PRDM9.
We are passionate about the development and application of computational modeling methods to study the operating mechanisms of cancer...
Brain tumors, sequencing, computational biology.
Investigate cancer evolution using computational and statistical approaches.
Leverages genomic technologies to investigate brain tumor biology and disease evolution.
Model disease through aligning human-mouse phenotype data : case study in Alzheimer disease (AD)
Employs computational and mathematical approaches to analyze large genomic data sets to understand genome function and uncover clinical...
Researches genome informatics with a focus on gene ontology.
Models genome regulation using computational and statistical methods.