Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing

Eran Yanowski; Nancy S. Yacovzada; Eyal David; Amir Giladi; Diego Jaitin; Lydia Farack; Adi Egozi; Danny Ben-Zvi; Shalev Itzkovitz; Ido Amit; Eran Hornstein

doi:10.1016/j.molmet.2022.101467

Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing

Eran Yanowski
, Nancy S. Yacovzada
, Eyal David
, Amir Giladi
, Diego Jaitin
, Lydia Farack
, Adi Egozi
, Danny Ben-Zvi
, Shalev Itzkovitz
, Ido Amit
, Eran Hornstein^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Article number	101467
Journal	Molecular Metabolism
Volume	60
Early online date	1 Mar 2022
DOIs	https://doi.org/10.1016/j.molmet.2022.101467
Publication status	Published - Jun 2022

Funding

E.Y researched data and wrote the manuscript. N.S.Y and A.G PICseq computational analysis. E.D MARSseq computational analysis. D.J single-cell library preparation. L.F and A.E consultant smFISH. D.B.Z partial pancreatectomy training. The work was funded by European Research Council under the European Union's Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement 617351 and the Israel Science Foundation (135/16, 3497/21 and Legacy Morasha program 828/17); Research in the Hornstein lab is further supported by Radala Foundation; Minerva Foundation with funding from the Federal German Ministry for Education and Research, ISF Yeda-Sela, Yeda-CEO; Benoziyo Center Neurological Disease; Weizmann - Brazil Center for Research on Neurodegeneration at The Weizmann Institute of Science, Vener New Scientist Fund; Julius and Ray Charlestein Foundation; Fraida Foundation; Wolfson Family Charitable Trust; Abney Foundation; Merck; Maria Halphen and the estates of Fannie Sherr, Lola Asseof, Lilly Fulop, and E. and J. Moravitz, Redhill Foundation – Sam and Jean Rothberg Charitable Trust, Andi and Larry Wolfe Center for Neuroimmunology and Neuromodulation and by Dr. Sydney Brenner and friends. The work was funded by European Research Council under the European Union's Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement 617351 and the Israel Science Foundation (135/16, 3497/21 and Legacy Morasha program 828/17); Research in the Hornstein lab is further supported by Radala Foundation; Minerva Foundation with funding from the Federal German Ministry for Education and Research, ISF Yeda-Sela, Yeda-CEO; Benoziyo Center Neurological Disease; Weizmann - Brazil Center for Research on Neurodegeneration at The Weizmann Institute of Science, Vener New Scientist Fund; Julius and Ray Charlestein Foundation; Fraida Foundation; Wolfson Family Charitable Trust; Abney Foundation; Merck; Maria Halphen and the estates of Fannie Sherr, Lola Asseof, Lilly Fulop, and E. and J. Moravitz, Redhill Foundation – Sam and Jean Rothberg Charitable Trust, Andi and Larry Wolfe Center for Neuroimmunology and Neuromodulation and by Dr. Sydney Brenner and friends.

All Science Journal Classification (ASJC) codes

Molecular Biology
Cell Biology

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10.1016/j.molmet.2022.101467Licence: CC BY-NC-ND

Cite this

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title = "Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing",

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.",

author = "Eran Yanowski and Yacovzada, \{Nancy S.\} and Eyal David and Amir Giladi and Diego Jaitin and Lydia Farack and Adi Egozi and Danny Ben-Zvi and Shalev Itzkovitz and Ido Amit and Eran Hornstein",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

month = jun,

doi = "10.1016/j.molmet.2022.101467",

language = "English",

volume = "60",

journal = "Molecular Metabolism",

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T1 - Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing

AU - Yanowski, Eran

AU - Yacovzada, Nancy S.

AU - David, Eyal

AU - Giladi, Amir

AU - Jaitin, Diego

AU - Farack, Lydia

AU - Egozi, Adi

AU - Ben-Zvi, Danny

AU - Itzkovitz, Shalev

AU - Amit, Ido

AU - Hornstein, Eran

PY - 2022/6

Y1 - 2022/6

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85127194456

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DO - 10.1016/j.molmet.2022.101467

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SN - 2212-8778

VL - 60

JO - Molecular Metabolism

JF - Molecular Metabolism

M1 - 101467

ER -

Physically interacting beta-delta pairs in the regenerating pancreas revealed by single-cell sequencing

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