Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics.

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Bibliographic Details
Title: Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics.
Authors: Gulati GS; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA., D'Silva JP; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Liu Y; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Wang L; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA., Newman AM; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. amnewman@stanford.edu.; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA. amnewman@stanford.edu.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA. amnewman@stanford.edu.; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA. amnewman@stanford.edu.
Source: Nature reviews. Molecular cell biology [Nat Rev Mol Cell Biol] 2025 Jan; Vol. 26 (1), pp. 11-31. Date of Electronic Publication: 2024 Aug 21.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 100962782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-0080 (Electronic) Linking ISSN: 14710072 NLM ISO Abbreviation: Nat Rev Mol Cell Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-0080
DOI:10.1038/s41580-024-00768-2