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Transcriptional space-time mapping identifies concerted immune and stromal cell patterns and gene programs in wound healing and cancer.
Hu, Kenneth H; Kuhn, Nicholas F; Courau, Tristan; Tsui, Jessica; Samad, Bushra; Ha, Patrick; Kratz, Johannes R; Combes, Alexis J; Krummel, Matthew F.
Afiliación
  • Hu KH; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: khhu@mdanderson.org.
  • Kuhn NF; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Courau T; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Tsui J; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Otolaryngology Head and Neck Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Samad B; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Ha P; Department of Otolaryngology Head and Neck Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Kratz JR; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Combes AJ; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Krummel MF; Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: matthew.krummel@ucsf.edu.
Cell Stem Cell ; 30(6): 885-903.e10, 2023 06 01.
Article en En | MEDLINE | ID: mdl-37267918
ABSTRACT
Tissue repair responses in metazoans are highly coordinated by different cell types over space and time. However, comprehensive single-cell-based characterization covering this coordination is lacking. Here, we captured transcriptional states of single cells over space and time during skin wound closure, revealing choreographed gene-expression profiles. We identified shared space-time patterns of cellular and gene program enrichment, which we call multicellular "movements" spanning multiple cell types. We validated some of the discovered space-time movements using large-volume imaging of cleared wounds and demonstrated the value of this analysis to predict "sender" and "receiver" gene programs in macrophages and fibroblasts. Finally, we tested the hypothesis that tumors are like "wounds that never heal" and found conserved wound healing movements in mouse melanoma and colorectal tumor models, as well as human tumor samples, revealing fundamental multicellular units of tissue biology for integrative studies.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cicatrización de Heridas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cell Stem Cell Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cicatrización de Heridas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Cell Stem Cell Año: 2023 Tipo del documento: Article