Evidence map›Paper›PMID 37499630›Full record

ArticleNephron2023

Prioritization of Monogenic Congenital Anomalies of the Kidney and Urinary Tract Candidate Genes with Existing Single-Cell Transcriptomics Data of the Human Fetal Kidney.

Luca M Schierbaum, Sophia Schneider, Florian Buerger, Abdul Aziz Halawi, Steve Seltzsam, Chunyan Wang, Bixia Zheng, Chen-Han Wilfried Wu, Rufeng Dai, Dervla M Connaughton and 5 more

Open access · greenAbstract read
In one paragraph

Article in Nephron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Dissecting Normal and Abnormal Human Kidney Development Using Multiomics.Journal of the American Society of Nephrology : JASN · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Luca M SchierbaumDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA, luca.schierbaum@uni-bonn.de.
Sophia SchneiderDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Florian BuergerDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Abdul Aziz HalawiDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Steve SeltzsamDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Chunyan WangDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Bixia ZhengDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Chen-Han Wilfried WuDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Rufeng DaiDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Dervla M ConnaughtonDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Daanya SalmanullahDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Makiko NakayamaDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Nina MannDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Shirlee ShrilDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Friedhelm HildebrandtDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Boston Children's Hospital · US

Funding

TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
Yale Center for Mendelian DisordersU54HG006504 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, GUNEL, MURAT · 2012 to 2015
$11.0M
Identification and function of new genes causing childhood nephrotic syndromeR01DK076683 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HILDEBRANDT, FRIEDHELM · 2007 to 2021
$5.3M
Discovery and pathogenic characterization of novel monogenic causes of bladder dysfunction-Administrative supplementK08DK127011 · NIDDK · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI MANN, NINA · 2021 to 2025
$901k
NHGRI NIH HHS U54 HG006504NIDDK NIH HHS K08 DK127011NIDDK NIH HHS R01 DK076683NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

introductionCongenital anomalies of the kidney and urinary tract (CAKUT) are the most common cause of chronic kidney disease in the first 3 decades of life. Over 40 genes have been identified as causative for isolated human CAKUT. However, many genes remain unknown, and the prioritization of potential CAKUT candidate genes is challenging. To develop an independent approach to prioritize CAKUT candidate genes, we hypothesized that monogenic CAKUT genes are most likely co-expressed along a temporal axis during kidney development and that genes with coinciding high expression may represent strong novel CAKUT candidate genes.

methodsWe analyzed single-cell mRNA (sc-mRNA) transcriptomics data of human fetal kidney for temporal sc-mRNA co-expression of 40 known CAKUT genes. A maximum of high expression in consecutive timepoints of kidney development was found for four of the 40 genes (EYA1, SIX1, SIX2, and ITGA8) in nephron progenitor cells a, b, c, d (NPCa-d). We concluded that NPCa-d are relevant for CAKUT pathogenesis and intersected two lists of CAKUT candidate genes resulting from unbiased whole-exome sequencing (WES) with the 100 highest expressed genes in NPCa-d.

resultsIntersection of the 100 highest expressed genes in NPCa-d with WES-derived CAKUT candidate genes identified an overlap with the candidate genes KIF19, TRIM36, USP35, CHTF18, in each of which a biallelic variant was detected in different families with CAKUT.

conclusionSc-mRNA expression data of human fetal kidney can be utilized to prioritize WES-derived CAKUT candidate genes. KIF19, TRIM36, USP35, and CHTF18 may represent strong novel candidate genes for CAKUT.

Indexed as

TranscriptomeUrinary TractEndopeptidasesHomeodomain ProteinsHumansKidneyRNA, MessengerUrogenital AbnormalitiesVesico-Ureteral RefluxEndopeptidasesHomeodomain ProteinsRNA, MessengerSIX1 protein, humanUSP35 protein, humanCongenital anomalies of the kidney and urinary tractHuman fetal kidneySingle-cell mRNA sequencing

Identifiers

PMID37499630
PMCPMC11018365
OpenAlexW4385331496

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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.