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

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

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

Affiliation

Quatredeniers M; Université de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France. quatredeniers.marceau@gmail.com.
Serafin AS; Université de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.
Benmerah A; Université de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.
Rausell A; Université de Paris Cité, Imagine Institute, Laboratory of Clinical Bioinformatics, Paris, INSERM UMR 1163, F-75015, France.
Saunier S; Université de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.
Viau A; Université de Paris Cité, Imagine Institute, Laboratory of Hereditary Kidney Diseases, Paris, INSERM UMR 1163, F-75015, France.

Sci Data ; 10(1): 361, 2023 06 06.

Article in En | MEDLINE | ID: mdl-37280226

Subject(s)

Kidney; Transcriptome; Adult; Humans; Gene Expression Profiling; Reproducibility of Results; Single-Cell Gene Expression Analysis; Datasets as Topic

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcriptome / Kidney Type of study: Prognostic_studies / Systematic_reviews Limits: Adult / Humans Language: En Journal: Sci Data Year: 2023 Type: Article Affiliation country: France

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