Evidence map›Paper›PMID 37280226›Full record

SynthesisScientific data2023

Meta-analysis of single-cell and single-nucleus transcriptomics reveals kidney cell type consensus signatures.

Marceau Quatredeniers, Alice S Serafin, Alexandre Benmerah, Antonio Rausell, Sophie Saunier, Amandine Viau

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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  5. Review
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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

6 authors.

Marceau QuatredeniersUniversité de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France. quatredeniers.marceau@gmail.com.ORCID 0000-0002-7862-1320
Alice S SerafinUniversité de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.ORCID 0000-0003-2626-9748
Alexandre BenmerahUniversité de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.ORCID 0000-0003-0188-8016
Antonio RausellUniversité de Paris Cité, Imagine Institute, Laboratory of Clinical Bioinformatics, Paris, INSERM UMR 1163, F-75015, France.
Sophie SaunierUniversité de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.
Amandine ViauUniversité de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-17-RHUS-0002
6 · The paper itself

Abstract

While the amount of studies involving single-cell or single-nucleus RNA-sequencing technologies grows exponentially within the biomedical research area, the kidney field requires reference transcriptomic signatures to allocate each cluster its matching cell type. The present meta-analysis of 39 previously published datasets, from 7 independent studies, involving healthy human adult kidney samples, offers a set of 24 distinct consensus kidney cell type signatures. The use of these signatures may help to assure the reliability of cell type identification in future studies involving single-cell and single-nucleus transcriptomics while improving the reproducibility in cell type allocation.

Indexed as

KidneyTranscriptomeAdultConsensus SequenceDatasets as TopicGene Expression ProfilingHumansReproducibility of ResultsSingle-Cell Gene Expression Analysis

Identifiers

PMID37280226
PMCPMC10244446

What OpenQuestion holds

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Registered trials

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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.