Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing.
Mol Metab 2022;
60:101467. [PMID:
35240340 PMCID:
PMC8983436 DOI:
10.1016/j.molmet.2022.101467]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/05/2022] [Accepted: 02/25/2022] [Indexed: 11/12/2022] Open
Abstract
Objectives
Until recently, communication between neighboring cells in islets of Langerhans was overlooked by genomic technologies, which require rigorous tissue dissociation into single cells.
Methods
We utilize sorting of physically interacting cells (PICs) with single-cell RNA-sequencing to systematically map cellular interactions in the endocrine pancreas after pancreatectomy.
Results
The pancreas cellular landscape features pancreatectomy associated heterogeneity of beta-cells, including an interaction-specific program between paired beta and delta-cells.
Conclusions
Our analysis suggests that the particular cluster of beta-cells that pairs with delta-cells benefits from stress protection, implying that the interaction between beta- and delta-cells might safeguard against pancreatectomy associated challenges. The work encourages testing the potential relevance of physically-interacting beta-delta-cells also in diabetes mellitus.
Single-cell RNA-sequencing systematically maps physically interacting endocrine cells in the pancreas.
The landscape of pancreatectomy associated beta-cell heterogeneity is mapped in a single cell resolution.
Interaction-specific beta - delta cellular program safeguards beta cells against pancreatectomy-associated stress.
Physically interacting beta delta pairs were discovered in an injury model and may also be relevant in diabetes.
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