The technological landscape and applications of single-cell multi-omics
Baysoy A, Bai Z, Satija R, Fan R. The technological landscape and applications of single-cell multi-omics. Nature Reviews Molecular Cell Biology 2023, 24: 695-713. PMID: 37280296, PMCID: PMC10242609, DOI: 10.1038/s41580-023-00615-w.Peer-Reviewed Original ResearchConceptsSingle-cell multi-omics technologiesMulti-omics technologiesMolecular cell biology researchCell lineage tracingCell biology researchBioinformatics toolsLineage tracingOmics methodsCell statesBiology researchMathematical modellingCancer geneticsOmics modalitiesComputational methodsEpitranscriptomeEpigenomeTranscriptomeGenomeProteomeOmicsOptimization of throughputGeneticsArt methodsTranslational researchUniquenessSpatial epigenome–transcriptome co-profiling of mammalian tissues
Zhang D, Deng Y, Kukanja P, Agirre E, Bartosovic M, Dong M, Ma C, Ma S, Su G, Bao S, Liu Y, Xiao Y, Rosoklija G, Dwork A, Mann J, Leong K, Boldrini M, Wang L, Haeussler M, Raphael B, Kluger Y, Castelo-Branco G, Fan R. Spatial epigenome–transcriptome co-profiling of mammalian tissues. Nature 2023, 616: 113-122. PMID: 36922587, PMCID: PMC10076218, DOI: 10.1038/s41586-023-05795-1.Peer-Reviewed Original ResearchConceptsGene expressionSingle-cell resolutionChromatin accessibilityJoint profilingHistone modificationsGene regulationCellular statesEpigenetic mechanismsCentral dogmaSpatial transcriptomeTranscriptional phenotypeCell statesOmics informationSpatial transcriptomicsEpigenetic primingMammalian tissuesEpigenomeMolecular biologyTissue architectureCell dynamicsMechanistic relationshipDifferential rolesNew insightsMouse brainProfiling