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RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes
Aims/hypothesis Pancreatic islets depend on cytosolic calcium (Ca 2+ ) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca 2+ -regulated gene expression in a...
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Published in: | Diabetologia 2022-09, Vol.65 (9), p.1519-1533 |
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creator | Yoon, Ji Soo Sasaki, Shugo Velghe, Jane Lee, Michelle Y. Y. Winata, Helena Nian, Cuilan Lynn, Francis C. |
description | Aims/hypothesis
Pancreatic islets depend on cytosolic calcium (Ca
2+
) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca
2+
-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular Ca
2+
signalling, while preserving biological heterogeneity.
Methods
We exposed intact human islets from three donors to the following conditions: (1) 2.8 mmol/l glucose; (2) 16 mmol/l glucose and 40 mmol/l KCl to maximally stimulate Ca
2+
signalling; and (3) 16 mmol/l glucose, 40 mmol/l KCl and 5 mmol/l EGTA (Ca
2+
chelator) to inhibit Ca
2+
signalling, for 1 h. We sequenced 68,650 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 59,373 cells expressing
INS
,
GCG
,
SST
or
PPY
. We compared transcriptomes across conditions to determine the differentially expressed Ca
2+
-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells.
Results
Based on the number of Ca
2+
-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of Ca
2+
response. We also showed that polyhormonal clusters expressing both
INS
and
GCG
, or both
INS
and
SST
, are defined by Ca
2+
-regulated genes specific to each cluster. Finally, we identified the gene
PCDH7
from the beta cell clusters that had the highest number of Ca
2+
-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function.
Conclusions/interpretation
Here we use our large-scale, multi-condition, single-cell dataset to show that human islets have cell-type-specific Ca
2+
-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify
PCDH7
as a novel marker of beta cells having an increased number of Ca
2+
-regulated genes and enhanced insulin secretory function.
Data availability
A searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at
https://lynnlab.shinyapps.io/Human_Islet_Atlas/
. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).
Graphical abstract |
doi_str_mv | 10.1007/s00125-022-05718-1 |
format | article |
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Pancreatic islets depend on cytosolic calcium (Ca
2+
) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca
2+
-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular Ca
2+
signalling, while preserving biological heterogeneity.
Methods
We exposed intact human islets from three donors to the following conditions: (1) 2.8 mmol/l glucose; (2) 16 mmol/l glucose and 40 mmol/l KCl to maximally stimulate Ca
2+
signalling; and (3) 16 mmol/l glucose, 40 mmol/l KCl and 5 mmol/l EGTA (Ca
2+
chelator) to inhibit Ca
2+
signalling, for 1 h. We sequenced 68,650 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 59,373 cells expressing
INS
,
GCG
,
SST
or
PPY
. We compared transcriptomes across conditions to determine the differentially expressed Ca
2+
-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells.
Results
Based on the number of Ca
2+
-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of Ca
2+
response. We also showed that polyhormonal clusters expressing both
INS
and
GCG
, or both
INS
and
SST
, are defined by Ca
2+
-regulated genes specific to each cluster. Finally, we identified the gene
PCDH7
from the beta cell clusters that had the highest number of Ca
2+
-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function.
Conclusions/interpretation
Here we use our large-scale, multi-condition, single-cell dataset to show that human islets have cell-type-specific Ca
2+
-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify
PCDH7
as a novel marker of beta cells having an increased number of Ca
2+
-regulated genes and enhanced insulin secretory function.
Data availability
A searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at
https://lynnlab.shinyapps.io/Human_Islet_Atlas/
. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).
Graphical abstract</description><identifier>ISSN: 0012-186X</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-022-05718-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Human Physiology ; Internal Medicine ; Medicine ; Medicine & Public Health ; Metabolic Diseases</subject><ispartof>Diabetologia, 2022-09, Vol.65 (9), p.1519-1533</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2741-4e5a33eb2cb659fb1961c06620d52a18ad6d93f655b51f6813b0daf8ed6b34003</citedby><cites>FETCH-LOGICAL-c2741-4e5a33eb2cb659fb1961c06620d52a18ad6d93f655b51f6813b0daf8ed6b34003</cites><orcidid>0000-0002-1001-5316 ; 0000-0002-4268-0521 ; 0000-0002-5574-8011 ; 0000-0002-3696-7809 ; 0000-0003-0830-9750 ; 0000-0001-9318-1063</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Yoon, Ji Soo</creatorcontrib><creatorcontrib>Sasaki, Shugo</creatorcontrib><creatorcontrib>Velghe, Jane</creatorcontrib><creatorcontrib>Lee, Michelle Y. Y.</creatorcontrib><creatorcontrib>Winata, Helena</creatorcontrib><creatorcontrib>Nian, Cuilan</creatorcontrib><creatorcontrib>Lynn, Francis C.</creatorcontrib><title>RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><description>Aims/hypothesis
Pancreatic islets depend on cytosolic calcium (Ca
2+
) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca
2+
-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular Ca
2+
signalling, while preserving biological heterogeneity.
Methods
We exposed intact human islets from three donors to the following conditions: (1) 2.8 mmol/l glucose; (2) 16 mmol/l glucose and 40 mmol/l KCl to maximally stimulate Ca
2+
signalling; and (3) 16 mmol/l glucose, 40 mmol/l KCl and 5 mmol/l EGTA (Ca
2+
chelator) to inhibit Ca
2+
signalling, for 1 h. We sequenced 68,650 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 59,373 cells expressing
INS
,
GCG
,
SST
or
PPY
. We compared transcriptomes across conditions to determine the differentially expressed Ca
2+
-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells.
Results
Based on the number of Ca
2+
-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of Ca
2+
response. We also showed that polyhormonal clusters expressing both
INS
and
GCG
, or both
INS
and
SST
, are defined by Ca
2+
-regulated genes specific to each cluster. Finally, we identified the gene
PCDH7
from the beta cell clusters that had the highest number of Ca
2+
-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function.
Conclusions/interpretation
Here we use our large-scale, multi-condition, single-cell dataset to show that human islets have cell-type-specific Ca
2+
-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify
PCDH7
as a novel marker of beta cells having an increased number of Ca
2+
-regulated genes and enhanced insulin secretory function.
Data availability
A searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at
https://lynnlab.shinyapps.io/Human_Islet_Atlas/
. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).
Graphical abstract</description><subject>Human Physiology</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><issn>0012-186X</issn><issn>1432-0428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kN1KwzAYQIMoOKcv4FXA62p-mqz1btSqg4EwJngX0vSry-iymrSDPYWvbOYG3nkVQs75yHcQuqXknhIyeQiEUCYSwlhCxIRmCT1DI5ryeE1Zdo5Gh_eEZvLjEl2FsCaEcJHKEfpelMvFtFiWT3i6WM6KefmIC90aO2ySGjpwNbge9167YLztert1usVmpd0nBGwdXg0b7XCnnfGge2uwDS302EDbBuxhBxFvBmdOZm134IPt9wf3D8VhqPp9B-EaXTS6DXBzOsfo_blcFq_J_O1lVkzniWGTlCYpCM05VMxUUuRNRXNJDZGSkVowTTNdyzrnjRSiErSRGeUVqXWTQS0rnsblx-juOLfz268BQq_W28HHHwbFZD6hOc-FiBQ7UsZvQ_DQqM7bjfZ7RYk6hFfH8CqGV7_hFY0SP0ohwjGT_xv9j_UDyvWHdw</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Yoon, Ji Soo</creator><creator>Sasaki, Shugo</creator><creator>Velghe, Jane</creator><creator>Lee, Michelle Y. Y.</creator><creator>Winata, Helena</creator><creator>Nian, Cuilan</creator><creator>Lynn, Francis C.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-1001-5316</orcidid><orcidid>https://orcid.org/0000-0002-4268-0521</orcidid><orcidid>https://orcid.org/0000-0002-5574-8011</orcidid><orcidid>https://orcid.org/0000-0002-3696-7809</orcidid><orcidid>https://orcid.org/0000-0003-0830-9750</orcidid><orcidid>https://orcid.org/0000-0001-9318-1063</orcidid></search><sort><creationdate>20220901</creationdate><title>RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes</title><author>Yoon, Ji Soo ; Sasaki, Shugo ; Velghe, Jane ; Lee, Michelle Y. Y. ; Winata, Helena ; Nian, Cuilan ; Lynn, Francis C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2741-4e5a33eb2cb659fb1961c06620d52a18ad6d93f655b51f6813b0daf8ed6b34003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Human Physiology</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoon, Ji Soo</creatorcontrib><creatorcontrib>Sasaki, Shugo</creatorcontrib><creatorcontrib>Velghe, Jane</creatorcontrib><creatorcontrib>Lee, Michelle Y. Y.</creatorcontrib><creatorcontrib>Winata, Helena</creatorcontrib><creatorcontrib>Nian, Cuilan</creatorcontrib><creatorcontrib>Lynn, Francis C.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Diabetologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoon, Ji Soo</au><au>Sasaki, Shugo</au><au>Velghe, Jane</au><au>Lee, Michelle Y. Y.</au><au>Winata, Helena</au><au>Nian, Cuilan</au><au>Lynn, Francis C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes</atitle><jtitle>Diabetologia</jtitle><stitle>Diabetologia</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>65</volume><issue>9</issue><spage>1519</spage><epage>1533</epage><pages>1519-1533</pages><issn>0012-186X</issn><eissn>1432-0428</eissn><abstract>Aims/hypothesis
Pancreatic islets depend on cytosolic calcium (Ca
2+
) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca
2+
-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular Ca
2+
signalling, while preserving biological heterogeneity.
Methods
We exposed intact human islets from three donors to the following conditions: (1) 2.8 mmol/l glucose; (2) 16 mmol/l glucose and 40 mmol/l KCl to maximally stimulate Ca
2+
signalling; and (3) 16 mmol/l glucose, 40 mmol/l KCl and 5 mmol/l EGTA (Ca
2+
chelator) to inhibit Ca
2+
signalling, for 1 h. We sequenced 68,650 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 59,373 cells expressing
INS
,
GCG
,
SST
or
PPY
. We compared transcriptomes across conditions to determine the differentially expressed Ca
2+
-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells.
Results
Based on the number of Ca
2+
-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of Ca
2+
response. We also showed that polyhormonal clusters expressing both
INS
and
GCG
, or both
INS
and
SST
, are defined by Ca
2+
-regulated genes specific to each cluster. Finally, we identified the gene
PCDH7
from the beta cell clusters that had the highest number of Ca
2+
-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function.
Conclusions/interpretation
Here we use our large-scale, multi-condition, single-cell dataset to show that human islets have cell-type-specific Ca
2+
-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify
PCDH7
as a novel marker of beta cells having an increased number of Ca
2+
-regulated genes and enhanced insulin secretory function.
Data availability
A searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at
https://lynnlab.shinyapps.io/Human_Islet_Atlas/
. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).
Graphical abstract</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00125-022-05718-1</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-1001-5316</orcidid><orcidid>https://orcid.org/0000-0002-4268-0521</orcidid><orcidid>https://orcid.org/0000-0002-5574-8011</orcidid><orcidid>https://orcid.org/0000-0002-3696-7809</orcidid><orcidid>https://orcid.org/0000-0003-0830-9750</orcidid><orcidid>https://orcid.org/0000-0001-9318-1063</orcidid><oa>free_for_read</oa></addata></record> |
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source | Springer Nature |
subjects | Human Physiology Internal Medicine Medicine Medicine & Public Health Metabolic Diseases |
title | RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes |
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