Evidence map›Paper›PMID 30826016›Full record

ArticleKidney international2019

Representation and relative abundance of cell-type selective markers in whole-kidney RNA-Seq data.

Jevin Z Clark, Lihe Chen, Chung-Lin Chou, Hyun Jun Jung, Jae Wook Lee, Mark A Knepper

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 146 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
  6. Targeting YAP1-Mediated Tubular Cell Senescence to Attenuate Maladaptive Repair and Fibrotic Transition After Acute Kidney Injury.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  7. Article
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  10. Testosterone Exposure During Fetal Masculinization Programming Window Determines the Kidney Size in Adult Mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Jevin Z ClarkEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Lihe ChenEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Chung-Lin ChouEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Hyun Jun JungEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Jae Wook LeeNephrology Clinic, National Cancer Center, Goyang, South Korea.
Mark A KnepperEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA. Electronic address: knep@helix.nih.gov.
National Institutes of Health · USNational Cancer Center · KRNational Heart Lung and Blood Institute · US

Funding

Solute And Water Transport In Renal EpitheliaZIAHL001285 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK · 2009 to 2025
$34.9M
Computational Tools for ProteomicsZIAHL006129 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK · 2011 to 2025
$8.1M
SOLUTE AND WATER TRANSPORT IN RENAL EPITHELIAZ01HL001285 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KNEPPER, MARK A · 1998 to 2008
$3.8M
Intramural NIH HHS Z01 HL001285Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL001285Intramural NIH HHS ZIA HL006129NHLBI NIH HHS ZIA HL001285NHLBI NIH HHS ZIA HL006129
6 · The paper itself

Abstract

Bulk-tissue RNA-Seq is increasingly being used in the study of physiological and pathophysiological processes in the kidney; however, the presence of multiple cell types in kidney tissue complicates data interpretation. We addressed the question of which cell types are represented in whole-kidney RNA-Seq data in order to identify circumstances in which bulk-kidney RNA-Seq can be successfully interpreted. We carried out RNA-Seq in mouse whole kidneys and in microdissected renal tubule segments. To aid in the interpretation of the data, we compiled a database of cell-type selective protein markers for 43 cell types believed to be present in kidney tissue. The whole-kidney RNA-Seq analysis identified transcripts corresponding to 17,742 genes, distributed over 5 orders of magnitude of expression level. Markers for all 43 curated cell types were detectable. Analysis of the cellular makeup of mouse and rat kidney, calculated from published literature, suggests that proximal tubule cells account for more than half of the mRNA in a kidney. Comparison of RNA-Seq data from microdissected proximal tubules with data from whole kidney supports this view. RNA-Seq data for cell-type selective markers in bulk-kidney samples provide a valid means to identify changes in minority-cell abundances in kidney tissue. Because proximal tubules make up a substantial fraction of whole-kidney samples, changes in proximal tubule gene expression can be assessed presumptively by bulk-kidney RNA-Seq, although results could potentially be complicated by the presence of mRNA from other cell types.

Indexed as

AnimalsBiomarkersGene Expression ProfilingKidneyMiceMicrodissectionRatsRNA, MessengerRNA-SeqTranscriptomeBiomarkersRNA, Messengerbulk tissueproximal tubuletranscriptome

Identifiers

PMID30826016
PMCPMC7466803
OpenAlexW2915419035

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.