Evolutionary cell type mapping with single-cell genomics

Mostra el registre complet Registre parcial de l'ítem

  • dc.contributor.author Tanay, Amos
  • dc.contributor.author Sebé-Pedrós, Arnau
  • dc.date.accessioned 2021-07-15T06:26:53Z
  • dc.date.issued 2021
  • dc.description.abstract A fundamental characteristic of animal multicellularity is the spatial coexistence of functionally specialized cell types that are all encoded by a single genome sequence. Cell type transcriptional programs are deployed and maintained by regulatory mechanisms that control the asymmetric, differential access to genomic information in each cell. This genome regulation ultimately results in specific cellular phenotypes. However, the emergence, diversity, and evolutionary dynamics of animal cell types remain almost completely unexplored beyond a few species. Single-cell genomics is emerging as a powerful tool to build comprehensive catalogs of cell types and their associated gene regulatory programs in non-traditional model species. We review the current state of sampling efforts across the animal tree of life and challenges ahead for the comparative study of cell type programs. We also discuss how the phylogenetic integration of cell atlases can lead to the development of models of cell type evolution and a phylogenetic taxonomy of cells.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Tanay A, Sebé-Pedrós A. Evolutionary cell type mapping with single-cell genomics. Trends Genet. 2021;37(10):919-32. DOI: 10.1016/j.tig.2021.04.008
  • dc.identifier.doi http://dx.doi.org/10.1016/j.tig.2021.04.008
  • dc.identifier.issn 0168-9525
  • dc.identifier.uri http://hdl.handle.net/10230/48186
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof Trends Genet. 2021;37(10):919-32
  • dc.rights © Elsevier http://dx.doi.org/10.1016/j.tig.2021.04.008
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.other Cèl·lules
  • dc.subject.other Genomes
  • dc.title Evolutionary cell type mapping with single-cell genomics
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion