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Multi-omics data integration shines a light on the renal medulla.
Hodgin, Jeffrey B; Smith, Cathy; Kretzler, Matthias.
Afiliação
  • Hodgin JB; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: jhodgin@umich.edu.
  • Smith C; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Kretzler M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Kidney Int ; 105(2): 242-244, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38245213
ABSTRACT
The renal medulla maintains salt and water balance and is prone to dysregulation because of high oxygen demand. Challenges in obtaining high-quality tissue have limited characterization of molecular programs regulating the medulla. Haug et al. leveraged gene expression, chromatin accessibility, long-range chromosomal interactions, and spatial transcriptomics to build a reference set of medullary tissue marker genes to define the medullary role in kidney function, exemplifying the strength and utility of multi-omic data integration.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Multiômica / Medula Renal Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Multiômica / Medula Renal Idioma: En Ano de publicação: 2024 Tipo de documento: Article