Evidence map›Paper›PMID 33795864›Full record

ArticleNature genetics2021

Single-cell chromatin accessibility identifies pancreatic islet cell type- and state-specific regulatory programs of diabetes risk.

Joshua Chiou, Chun Zeng, Zhang Cheng, Jee Yun Han, Michael Schlichting, Michael Miller, Robert Mendez, Serina Huang, Jinzhao Wang, Yinghui Sui and 10 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 pooled it
29.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

131 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 2 institutions in 1 country.

Joshua Chiou *Biomedical Graduate Studies Program, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-4618-0647
Chun Zeng *Department of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Zhang ChengCenter for Epigenomics, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-3863-2866
Jee Yun HanCenter for Epigenomics, University of California, San Diego, La Jolla, CA, USA.
Michael SchlichtingDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Michael MillerCenter for Epigenomics, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0781-7868
Robert MendezCenter for Epigenomics, University of California, San Diego, La Jolla, CA, USA.
Serina HuangDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Jinzhao WangDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-1595-9460
Yinghui SuiDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Allison DeogaygayDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Mei-Lin OkinoDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Yunjiang QiuDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0539-9714
Ying SunDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Parul KudtarkarDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA.
Rongxin FangDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.
Sebastian PreisslCenter for Epigenomics, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-8971-5616
Maike SanderDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA. masander@ucsd.edu.ORCID http://orcid.org/0000-0001-5308-7785
David U GorkinDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA. david.gorkin@emory.edu.ORCID http://orcid.org/0000-0003-4944-4107
Kyle J GaultonDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA, USA. kgaulton@ucsd.edu.ORCID http://orcid.org/0000-0003-1318-7161
University of California San Diego · USEmory University · US

Funding

Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Nkx6 gene function in pancreas developmentR01DK068471 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI WORTHAM, MATTHEW · 2004 to 2024
$6.6M
Functional Analysis of T2D Associated Non-coding SNPsU01DK105541 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI FRAZER, KELLY A, REN, BING · 2015 to 2019
$4.6M
Single cell analysis of the human pancreas in type 1 diabetesU01DK120429 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE, SANDER, MAIKE · 2018 to 2021
$3.1M
Diabetes risk variants affecting transcription factor-regulated cellular networksR01DK114650 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE · 2018 to 2022
$1.9M
NIDDK NIH HHS R01 DK068471NIDDK NIH HHS R01 DK114650NIDDK NIH HHS U01 DK105541NIDDK NIH HHS U01 DK105554NIDDK NIH HHS U01 DK120429
6 · The paper itself

Abstract

Single-nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq) creates new opportunities to dissect cell type-specific mechanisms of complex diseases. Since pancreatic islets are central to type 2 diabetes (T2D), we profiled 15,298 islet cells by using combinatorial barcoding snATAC-seq and identified 12 clusters, including multiple alpha, beta and delta cell states. We cataloged 228,873 accessible chromatin sites and identified transcription factors underlying lineage- and state-specific regulation. We observed state-specific enrichment of fasting glucose and T2D genome-wide association studies for beta cells and enrichment for other endocrine cell types. At T2D signals localized to islet-accessible chromatin, we prioritized variants with predicted regulatory function and co-accessibility with target genes. A causal T2D variant rs231361 at the KCNQ1 locus had predicted effects on a beta cell enhancer co-accessible with INS and genome editing in embryonic stem cell-derived beta cells affected INS levels. Together our findings demonstrate the power of single-cell epigenomics for interpreting complex disease genetics.

Indexed as

Blood GlucoseCell DifferentiationChromatinDiabetes Mellitus, Type 2EpigenomicsFastingGene Expression ProfilingGenome-Wide Association StudyGlucagon-Secreting CellsHigh-Throughput Nucleotide SequencingHuman Embryonic Stem CellsHumansInsulin-Secreting CellsKCNQ1 Potassium ChannelMultigene FamilyPancreatic Polypeptide-Secreting CellsBlood GlucoseChromatinKCNQ1 Potassium ChannelKCNQ1 protein, humanTranscription Factors

Identifiers

PMID33795864
PMCPMC9037575
OpenAlexW3149376923

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.