@article{4243,
  keywords = {Animals, Mice, Humans, Gene Expression Regulation, Developmental, Proteome, Single-Cell Analysis, Transcriptome, Nephrons, RNA-Seq},
  author = {Nils Lindstr{\"o}m and Rachel Sealfon and Xi Chen and Riana Parvez and Andrew Ransick and Guilherme Brandine and Jinjin Guo and Bill Hill and Tracy Tran and Albert Kim and Jian Zhou and Alicja Tadych and Aaron Watters and Aaron Wong and Elizabeth Lovero and Brendan Grubbs and Matthew Thornton and Jill McMahon and Andrew Smith and Seth Ruffins and Chris Armit and Olga Troyanskaya and Andrew McMahon},
  title = {Spatial transcriptional mapping of the human nephrogenic program.},
  abstract = { <p>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.</p> },
  year = {2021},
  journal = {Dev Cell},
  volume = {56},
  pages = {2381-2398.e6},
  month = {2021 Aug 23},
  issn = {1878-1551},
  doi = {10.1016/j.devcel.2021.07.017},
  language = {eng},
}