A knowledge-guided kidney cell census-reconciling bulk omics with cellular heterogeneity?

Markus M Rinschen; Roman-Ulrich Müller

doi:10.1016/j.kint.2018.12.016

A knowledge-guided kidney cell census-reconciling bulk omics with cellular heterogeneity?

Kidney Int. 2019 Apr;95(4):733-735. doi: 10.1016/j.kint.2018.12.016.

Authors

Markus M Rinschen¹, Roman-Ulrich Müller²

Affiliations

¹ Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Center for Metabolomics and Mass Spectrometry, The Scripps Research Institute, La Jolla, California, USA.
² Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; Systems Biology of Ageing Cologne (Sybacol), University of Cologne, Cologne, Germany. Electronic address: [email protected].

PMID: 30904059
DOI: 10.1016/j.kint.2018.12.016

Abstract

Clark et al. present a curated knowledge-based census of 43 known canonical kidney cell types, based on calculated contribution to total kidney mass and expression of molecular markers. Their study illustrates limitations of bulk transcriptomics but also provides guidance to their fruitful interpretation. In the light of their findings, the use of bulk sequencing datasets in conjunction with single-cell transcriptomics could contribute to the exploitation of integrative omics analyses in kidney research.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Biomarkers
Censuses*
Kidney
RNA*

Substances

Biomarkers
RNA