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Into the multiverse: advances in single-cell multiomic profiling.
Ogbeide, Silvia; Giannese, Francesca; Mincarelli, Laura; Macaulay, Iain C.
Afiliación
  • Ogbeide S; Earlham Institute, Norwich Research Park, Norwich, UK.
  • Giannese F; Center for Omics Sciences, IRCCS San Raffaele Institute, Milano, Italy.
  • Mincarelli L; Earlham Institute, Norwich Research Park, Norwich, UK.
  • Macaulay IC; Earlham Institute, Norwich Research Park, Norwich, UK. Electronic address: iain.macaulay@earlham.ac.uk.
Trends Genet ; 38(8): 831-843, 2022 08.
Article en En | MEDLINE | ID: mdl-35537880
ABSTRACT
Single-cell transcriptomic approaches have revolutionised the study of complex biological systems, with the routine measurement of gene expression in thousands of cells enabling construction of whole-organism cell atlases. However, the transcriptome is just one layer amongst many that coordinate to define cell type and state and, ultimately, function. In parallel with the widespread uptake of single-cell RNA-seq (scRNA-seq), there has been a rapid emergence of methods that enable multiomic profiling of individual cells, enabling parallel measurement of intercellular heterogeneity in the genome, epigenome, transcriptome, and proteomes. Linking measurements from each of these layers has the potential to reveal regulatory and functional mechanisms underlying cell behaviour in healthy development and disease.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Transcriptoma Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de la Célula Individual / Transcriptoma Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido