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Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular states.
Ma, Peijun; Amemiya, Haley M; He, Lorrie L; Gandhi, Shivam J; Nicol, Robert; Bhattacharyya, Roby P; Smillie, Christopher S; Hung, Deborah T.
  • Ma P; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA,
  • Amemiya HM; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA,
  • He LL; The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Gandhi SJ; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Nicol R; The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Bhattacharyya RP; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
  • Smillie CS; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Hung DT; The Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA,
Cell ; 186(4): 877-891.e14, 2023 02 16.
Article en En | MEDLINE | ID: mdl-36708705
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Análisis de Expresión Génica de una Sola Célula Tipo de estudio: Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Análisis de Expresión Génica de una Sola Célula Tipo de estudio: Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article