Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours.

Grenko, Caleb M; Bonnycastle, Lori L; Taylor, Henry J; Yan, Tingfen; Swift, Amy J; Robertson, Catherine C; Narisu, Narisu; Erdos, Michael R; Collins, Francis S; Taylor, D Leland

Grenko, Caleb M; Bonnycastle, Lori L; Taylor, Henry J; Yan, Tingfen; Swift, Amy J; Robertson, Catherine C; Narisu, Narisu; Erdos, Michael R; Collins, Francis S; Taylor, D Leland.

Afiliação

Grenko CM; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Bonnycastle LL; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Taylor HJ; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Yan T; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
Swift AJ; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Robertson CC; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Narisu N; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Erdos MR; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Collins FS; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Taylor DL; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.

bioRxiv ; 2023 Jul 17.

Article em En | MEDLINE | ID: mdl-37333221

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google