Welcome to the Satija Lab
Our goal is to understand how cellular heterogeneity encodes the molecular structure, function, and regulation of complex biological systems. Primarily using single cell genomics, we analyze systems by profiling their most fundamental units individually - a ‘bottom-up’ approach that allows us to study how diverse groups of cells work together to drive biological processes and behaviors.
We’re located at the New York Genome Center in Lower Manhattan, a short walk from our joint appointment at the NYU Center for Genomics and Systems Biology .
Recent News
| 08/25 | Check out some of our recent publications on multimodal integration, deep learning analysis of Perturb-seq data, intracellular protein profiling, and immune memory. |
| 06/25 | Congratulations to Bingjie, Saket, Avi, and Tim - postdoc alumni who have recently moved on to start their own labs! |
| 03/25 | Tired of manually clustering and annotating your scRNA-seq datasets? Check out Pan-Human Azimuth, our deep learning-based cell type annotation tool for human sc/snRNA-seq data. |
| 04/25 | Interested in single cell genomics but need help getting started? Check out our 9th annual Single Cell Genomics Day workshop. |
| 02/24 | Congratulations to Isabella on her Damon Runyon Quantitative Biology Fellowship, and to Tim and Avi for their NIH K99 awards! |
| 01/24 | We’re excited to release Seurat v5.0! Includes ‘bridge integration’ for cross-modality analysis, massively scalable ‘sketch'-based analysis, and expanded support for sequencing-based and imaging-based spatial datasets. Learn more on the Seurat website. |
| 08/23 | Introducing Neptune Bio, a new therapeutic discovery platform spinning out of the lab, with seed funding led by Lux Capital and KdT Ventures. |
| 02/18 | Christoph designed our “How many cells” and “Cost per cell” tools, to help plan experimental design. |