Literature DB >> 34428401

Spatial transcriptional mapping of the human nephrogenic program.

Nils O Lindström1, Rachel Sealfon2, Xi Chen2, Riana K Parvez3, Andrew Ransick3, Guilherme De Sena Brandine4, Jinjin Guo3, Bill Hill5, Tracy Tran3, Albert D Kim3, Jian Zhou2, Alicja Tadych6, Aaron Watters7, Aaron Wong7, Elizabeth Lovero7, Brendan H Grubbs8, Matthew E Thornton8, Jill A McMahon3, Andrew D Smith4, Seth W Ruffins3, Chris Armit9, Olga G Troyanskaya10, Andrew P McMahon11.   

Abstract

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  disease; human; kidney; machine-learning; nephrogenesis; nephron; networks; registration; single-cell; spatial

Mesh:

Substances:

Year:  2021        PMID: 34428401      PMCID: PMC8396064          DOI: 10.1016/j.devcel.2021.07.017

Source DB:  PubMed          Journal:  Dev Cell        ISSN: 1534-5807            Impact factor:   13.417


  109 in total

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Journal:  Cell Stem Cell       Date:  2019-07-11       Impact factor: 24.633

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5.  Kidney development in cadherin-6 mutants: delayed mesenchyme-to-epithelial conversion and loss of nephrons.

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Journal:  Nat Commun       Date:  2019-06-27       Impact factor: 14.919

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Review 2.  Regrow or Repair: An Update on Potential Regenerative Therapies for the Kidney.

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Review 3.  Principles of human and mouse nephron development.

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Review 4.  Multi-omics integration in the age of million single-cell data.

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6.  Spatially Resolved Transcriptomes of Mammalian Kidneys Illustrate the Molecular Complexity and Interactions of Functional Nephron Segments.

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7.  Whole Exome Sequencing in a Population With Severe Congenital Anomalies of Kidney and Urinary Tract.

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  7 in total

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