Rahul Satija’s lab studies the causes and consequences of cellular heterogeneity in complex biological systems. His group is particularly interested in single cell genomics, with active development in both the dry and wet lab. The lab integrates novel statistical and machine learning-based methods with experimental analysis in order to better understand how cells work together to drive biological processes and behaviors.
Rahul Satija, PhD, is a Core Member and Assistant Investigator at the New York Genome Center, with a joint appointment as Assistant Professor at Center for Genomics and Systems Biology at NYU.
Dr. Satija’s group focuses on developing computational and experimental methods to sequence and interpret the molecular contents of a single cell. His group applies single cell genomics to understand the causes and consequences of cell-to-cell variation, with a particular focus on immune regulation and early development.
Dr. Satija holds a BS in Biology and Music from Duke University, and obtained his PhD in Statistics from Oxford University as a Rhodes Scholar. Prior to joining NYGC, he was a postdoctoral researcher at the Broad Institute of Harvard and MIT, where he developed new methods for single cell analysis.
Satija R*, Farrell JA*, Gennert D, Schier AF, Regev A. Spatial reconstruction of single-cell gene expression data. Nature Biotechnology. 2015.
Satija R, Shalek AK. Heterogeneity in immune responses: from populations to single cells. Trends in Immunology. 2014.
Shalek AK*, Satija R*, Shuga J*, Trombetta JJ, Lu D, Gennert D, Chen P, Gertner RS, Gaublomme JT, Yosef N, Schwartz S, Fowler B, Weaver S, Wang J, Wang X, Ding R, Raychowdhury R, Friedman N, Hacohen N, Park H, May AP, and Regev A. Single-Cell RNA-Seq Reveals Dynamic Paracrine Control of Cellular Variation. Nature. 2014.
Trombetta JJ*, Gennert D*, Lu D*, Satija R, Shalek AK, and Regev A. Preparation of Single Cell RNA-Seq Libraries for Next Generation Sequencing. Current Protocols in Molecular Biology. 2014.
Shalek AK*, Satija R*, Adiconis X, Gertner RS, Gaublomme JT, Raychowdhury R, Schwartz S, Yosef N, Malboeuf C, Lu D, Trombetta JJ, Gennert D, Gnirke A, Goren A, Hacohen N, Levin JZ, Park H, Regev A. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature. 2013.
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.
Villani AC, Satija, R, Reynolds, G, Sarkizova S, Shekhar K, Fletcher J, Griesbeck M, Butler A, Zheng S, Lazo S, Jardine L, Dixon D, Stephenson E, Nilsson E, Grundberg I, McDonald D, Filby A, Li W, De Jager PL, Rozenblatt-Rosen O, Lane AA, Haniffa M, Regev A, Hacohen N.
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput.
Gierahn TM, Wadsworth MH 2nd, Hughes TK, Bryson BD, Butler A, Satija R, Fortune S, Love JC, Shalek AK.
Human dendritic cells (DCs) are derived from distinct circulating precursors that are precommitted to become CD1c+ or CD141+ DCs.
Breton G, Zheng S, Valieris R, Tojal da Silva I, Satija R, Nussenzweig MC.
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.