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Spatial omics technologies at multimodal and single cell/subcellular level.
Park, Jiwoon; Kim, Junbum; Lewy, Tyler; Rice, Charles M; Elemento, Olivier; Rendeiro, André F; Mason, Christopher E.
Afiliação
  • Park J; Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.
  • Kim J; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, 10065, USA.
  • Lewy T; Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.
  • Rice CM; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, 10065, USA.
  • Elemento O; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, 10065, USA.
  • Rendeiro AF; Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.
  • Mason CE; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Genome Biol ; 23(1): 256, 2022 12 13.
Article em En | MEDLINE | ID: mdl-36514162
Spatial omics technologies enable a deeper understanding of cellular organizations and interactions within a tissue of interest. These assays can identify specific compartments or regions in a tissue with differential transcript or protein abundance, delineate their interactions, and complement other methods in defining cellular phenotypes. A variety of spatial methodologies are being developed and commercialized; however, these techniques differ in spatial resolution, multiplexing capability, scale/throughput, and coverage. Here, we review the current and prospective landscape of single cell to subcellular resolution spatial omics technologies and analysis tools to provide a comprehensive picture for both research and clinical applications.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Proteômica Tipo de estudo: Observational_studies Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Proteômica Tipo de estudo: Observational_studies Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos