Science AdvancesBioinformaticsPeer-reviewed journal article
A reference tissue atlas for the human kidney
Jens HanseniD, Rachel S. G. SealfoniD, Rajasree MenoniD, Michael T. EadoniD, Blue B. LakeiD, Becky SteckiD, Kavya Anjani, Samir V. ParikhiD, Tara K. SigdeliD, Guanshi ZhangiD, Dušan VeličkovićiD, Daria BarwinskaiD, Theodore AlexandroviD, Deján DobiiD, Priyanka RashmiiD, Edgar A. OttoiD, Miguel RiveraiD, Michael P. RoseiD, Christopher AndertoniD, John P. ShapiroiD, Annapurna PamreddyiD, Seth WinfreeiD, Yuguang XiongiD, Yongqun Oliver HeiD, Ian H. de BoeriD, , Kidney Precision Medicine Project
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Abstract
AO_SCPLOWBSTRACTC_SCPLOWKidney 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.
- organism: human
- assay: bulk RNA-seq
- assay: scRNA-seq
- assay: proteomics
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: statistical model
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