@article{4636,
  keywords = {Humans, Proteomics, Transcriptome, Metabolomics, Kidney, Kidney Diseases},
  author = {Jens Hansen and Rachel Sealfon and Rajasree Menon and Michael Eadon and Blue Lake and Becky Steck and Kavya Anjani and Samir Parikh and Tara Sigdel and Guanshi Zhang and Dusan Velickovic and Daria Barwinska and Theodore Alexandrov and Dejan Dobi and Priyanka Rashmi and Edgar Otto and Miguel Rivera and Michael Rose and Christopher Anderton and John Shapiro and Annapurna Pamreddy and Seth Winfree and Yuguang Xiong and Yongqun He and Ian de Boer and Jeffrey Hodgin and Laura Barisoni and Abhijit Naik and Kumar Sharma and Minnie Sarwal and Kun Zhang and Jonathan Himmelfarb and Brad Rovin and Tarek El-Achkar and Zoltan Laszik and John He and Pierre Dagher and M Todd Valerius and Sanjay Jain and Lisa Satlin and Olga Troyanskaya and Matthias Kretzler and Ravi Iyengar and Evren Azeloglu and Kidney Precision Medicine Project},
  title = {A reference tissue atlas for the human kidney.},
  abstract = { <p>Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.</p> },
  year = {2022},
  journal = {Sci Adv},
  volume = {8},
  pages = {eabn4965},
  month = {2022 Jun 10},
  issn = {2375-2548},
  doi = {10.1126/sciadv.abn4965},
  language = {eng},
}