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Single-cell omics: Overview, analysis, and application in biomedical science.
Stein, Catarina M; Weiskirchen, Ralf; Damm, Frederik; Strzelecka, Paulina M.
Afiliación
  • Stein CM; Department of Hematology, Oncology, and Tumor Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Weiskirchen R; Berlin School Of Integrative Oncology (BSIO), Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Damm F; Institute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry (IFMPEGKC), RWTH University Hospital Aachen, Aachen, Germany.
  • Strzelecka PM; Department of Hematology, Oncology, and Tumor Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
J Cell Biochem ; 122(11): 1571-1578, 2021 11.
Article en En | MEDLINE | ID: mdl-34459502
ABSTRACT
Single-cell sequencing methods provide the highest resolution insight into cellular heterogeneity. Owing to their rapid growth and decreasing cost, they are now widely accessible to scientists worldwide. Single-cell technologies enable analysis of a large number of cells, making them powerful tools to characterise rare cell types and refine our understanding of diverse cell states. Moreover, single-cell application in biomedical sciences helps to unravel mechanisms related to disease pathogenesis and outcome. In this Viewpoint, we briefly describe existing single-cell methods (genomics, transcriptomics, epigenomics, proteomics, and mulitomics), comment on available analysis tools, and give examples of method applications in the biomedical field.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica / Proteómica / Análisis de la Célula Individual Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Cell Biochem Año: 2021 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Perfilación de la Expresión Génica / Proteómica / Análisis de la Célula Individual Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Cell Biochem Año: 2021 Tipo del documento: Article País de afiliación: Alemania