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

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.

SUBMITTER: Quatredeniers M

PROVIDER: S-EPMC10244446 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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

Quatredeniers Marceau M Serafin Alice S AS Benmerah Alexandre A Rausell Antonio A Saunier Sophie S Viau Amandine A

Scientific data 20230606 1

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 ...[more]

PMID: 37280226

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