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Spatial transcriptional mapping of the human nephrogenic program.
Lindström, Nils O; Sealfon, Rachel; Chen, Xi; Parvez, Riana K; Ransick, Andrew; De Sena Brandine, Guilherme; Guo, Jinjin; Hill, Bill; Tran, Tracy; Kim, Albert D; Zhou, Jian; Tadych, Alicja; Watters, Aaron; Wong, Aaron; Lovero, Elizabeth; Grubbs, Brendan H; Thornton, Matthew E; McMahon, Jill A; Smith, Andrew D; Ruffins, Seth W; Armit, Chris; Troyanskaya, Olga G; McMahon, Andrew P.
Afiliación
  • Lindström NO; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: nils.lindstrom@med.usc.edu.
  • Sealfon R; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
  • Chen X; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
  • Parvez RK; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Ransick A; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • De Sena Brandine G; Molecular and Computational Biology, Division of Biological Sciences, University of Southern, Los Angeles, CA 90089, USA.
  • Guo J; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Hill B; MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Tran T; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Kim AD; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Zhou J; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
  • Tadych A; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
  • Watters A; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA.
  • Wong A; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA.
  • Lovero E; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA.
  • Grubbs BH; Maternal Fetal Medicine Division, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Thornton ME; Maternal Fetal Medicine Division, Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • McMahon JA; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Smith AD; Molecular and Computational Biology, Division of Biological Sciences, University of Southern, Los Angeles, CA 90089, USA.
  • Ruffins SW; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Armit C; MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; BGI Hong Kong, 26/F, Kings Wing Plaza 2, 1 On Kwan Street, Shek Mun, NT, Hong Kong.
  • Troyanskaya OG; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA; Department of Computer Science, Princeton University, Princeton, NJ, USA. Electronic address: ogt@genomics.princeton.
  • McMahon AP; Department of Stem Cell Biology and Regenerative Medicine, Broad-CIRM Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: amcmahon@med.usc.edu.
Dev Cell ; 56(16): 2381-2398.e6, 2021 08 23.
Article en En | MEDLINE | ID: mdl-34428401
Congenital abnormalities of the kidney and urinary tract are among the most common birth defects, affecting 3% of newborns. The human kidney forms around a million nephrons from a pool of nephron progenitors over a 30-week period of development. To establish a framework for human nephrogenesis, we spatially resolved a stereotypical process by which equipotent nephron progenitors generate a nephron anlage, then applied data-driven approaches to construct three-dimensional protein maps on anatomical models of the nephrogenic program. Single-cell RNA sequencing identified progenitor states, which were spatially mapped to the nephron anatomy, enabling the generation of functional gene networks predicting interactions within and between nephron cell types. Network mining identified known developmental disease genes and predicted targets of interest. The spatially resolved nephrogenic program made available through the Human Nephrogenesis Atlas (https://sckidney.flatironinstitute.org/) will facilitate an understanding of kidney development and disease and enhance efforts to generate new kidney structures.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Regulación del Desarrollo de la Expresión Génica / Transcriptoma / Nefronas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Dev Cell Asunto de la revista: EMBRIOLOGIA Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Regulación del Desarrollo de la Expresión Génica / Transcriptoma / Nefronas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Dev Cell Asunto de la revista: EMBRIOLOGIA Año: 2021 Tipo del documento: Article