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A reference tissue atlas for the human kidney

Authors :
Tarek M. El-Achkar
Rajasree Menon
Annapurna Pamreddy
Jeffrey B. Hodgin
Brad H. Rovin
Becky Steck
Seth Winfree
Abhijit S. Naik
Yongqun He
Kumar Sharma
Michael Rose
John P. Shapiro
Evren U. Azeloglu
Kun Zhang
Samir M. Parikh
Zoltan Laszik
Blue B. Lake
Tara K. Sigdel
Theodore Alexandrov
Sanjay Jain
Guanshi Zhang
Ian H. de Boer
Edgar A. Otto
Jonathan Himmelfarb
Jens Hansen
Priyanka Rashmi
M. Todd Valerius
Rachel Sealfon
Daria Barwinska
John Cijiang He
Ravi Iyengar
Olga G. Troyanskaya
Laura Barisoni
Pierre C. Dagher
Minnie M. Sarwal
Matthias Kretzler
Lisa M. Satlin
Dejan Dobi
Christopher R. Anderton
Michael T. Eadon
Dušan Veličković
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Kidney Precision Medicine Project (KPMP) is building a spatially-specified human tissue atlas at the single-cell resolution with molecular details of the kidney in health and disease. Here, we describe the construction of an integrated reference tissue map of cells, pathways and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 55 subjects. We use single-cell and -nucleus transcriptomics, subsegmental laser microdissection bulk transcriptomics and proteomics, near-single-cell proteomics, 3-D nondestructive and CODEX imaging, and spatial metabolomics data to hierarchically identify genes, pathways and cells. Integrated data from these different technologies coherently describe cell types/subtypes within different nephron segments and interstitium. These spatial profiles identify cell-level functional organization of the kidney tissue as indicative of their physiological functions and map different cell subtypes to genes, proteins, metabolites and pathways. Comparison of transcellular sodium reabsorption along the nephron to levels of mRNAs encoding the different sodium transporter genes indicate that mRNA levels are largely congruent with physiological activity.This reference atlas provides an initial framework for molecular classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........064ff4960c986768bec7aa3fbc1b57f9
Full Text :
https://doi.org/10.1101/2020.07.23.216507