Evidence map›Paper›PMID 26977395›Full record

ArticleMolecular metabolism2016

Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes.

Amanda M Ackermann, Zhiping Wang, Jonathan Schug, Ali Naji, Klaus H Kaestner

Abstract read
In one paragraph

Article in Molecular metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

175 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Aberrant immune regulation and enrichment of stem-like CD8bioRxiv : the preprint server for biology · 2026
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  8. Hyperinsulinemia in Sotos Syndrome with aJournal of clinical research in pediatric endocrinology · 2026
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  15. Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025
    Article
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115 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

5 authors.

Amanda M AckermannDivision of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA; Institute of Diabetes, Obesity, and Metabolism, The University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA. Electronic address: ackermanna@email.chop.edu.
Zhiping WangInstitute for Biomedical Informatics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA. Electronic address: zhipwang@mail.med.upenn.edu.
Jonathan SchugInstitute of Diabetes, Obesity, and Metabolism, The University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA; Department of Genetics, The University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA. Electronic address: jschug@upenn.edu.
Ali NajiDepartment of Surgery, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA. Electronic address: ali.naji@uphs.upenn.edu.
Klaus H KaestnerInstitute of Diabetes, Obesity, and Metabolism, The University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA; Department of Genetics, The University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia 19104, PA, USA. Electronic address: kaestner@mail.med.upenn.edu.

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
Epigenetic Rejuvenation of Human Beta-CellsUC4DK104119 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GLASER, BENJAMIN, KAESTNER, KLAUS H · 2014 to 2014
$3.6M
NIDDK NIH HHS P30 DK019525NIDDK NIH HHS UC4 DK104119
6 · The paper itself

Abstract

objectiveAlthough glucagon-secreting α-cells and insulin-secreting β-cells have opposing functions in regulating plasma glucose levels, the two cell types share a common developmental origin and exhibit overlapping transcriptomes and epigenomes. Notably, destruction of β-cells can stimulate repopulation via transdifferentiation of α-cells, at least in mice, suggesting plasticity between these cell fates. Furthermore, dysfunction of both α- and β-cells contributes to the pathophysiology of type 1 and type 2 diabetes, and β-cell de-differentiation has been proposed to contribute to type 2 diabetes. Our objective was to delineate the molecular properties that maintain islet cell type specification yet allow for cellular plasticity. We hypothesized that correlating cell type-specific transcriptomes with an atlas of open chromatin will identify novel genes and transcriptional regulatory elements such as enhancers involved in α- and β-cell specification and plasticity.

methodsWe sorted human α- and β-cells and performed the "Assay for Transposase-Accessible Chromatin with high throughput sequencing" (ATAC-seq) and mRNA-seq, followed by integrative analysis to identify cell type-selective gene regulatory regions.

resultsWe identified numerous transcripts with either α-cell- or β-cell-selective expression and discovered the cell type-selective open chromatin regions that correlate with these gene activation patterns. We confirmed cell type-selective expression on the protein level for two of the top hits from our screen. The "group specific protein" (GC; or vitamin D binding protein) was restricted to α-cells, while CHODL (chondrolectin) immunoreactivity was only present in β-cells. Furthermore, α-cell- and β-cell-selective ATAC-seq peaks were identified to overlap with known binding sites for islet transcription factors, as well as with single nucleotide polymorphisms (SNPs) previously identified as risk loci for type 2 diabetes.

conclusionsWe have determined the genetic landscape of human α- and β-cells based on chromatin accessibility and transcript levels, which allowed for detection of novel α- and β-cell signature genes not previously known to be expressed in islets. Using fine-mapping of open chromatin, we have identified thousands of potential cis-regulatory elements that operate in an endocrine cell type-specific fashion.

Indexed as

Alpha cellARX, aristaless related homeoboxATAC-seq, Assay for Transposase-Accessible Chromatin with high throughput sequencingBeta cellChIP-seq, Chromatin Immunoprecipitation followed by high throughput sequencingCHODL, chondrolectinDAPI, 4′,6-diamidino-2-phenylindoleDiabetesDPP4, dipeptidyl-peptidase 4EpigeneticsFACS, fluorescence-activated cell sortingFAIRE-seq, Formaldehyde-Assisted Isolation of Regulatory Elements followed by high throughput sequencingGCG, glucagonGC, group-specific proteinGHRL, ghrelinIGF2, insulin like growth factor 2INS, insulinIRX2, iroquois homeobox 2IsletMAFA, v-maf avian musculoaponeurotic fibrosarcoma oncogene homolog ANEUROD1, neuronal differentiation 1Open chromatinPP, pancreatic polypeptideSNP, single nucleotide polymorphismSST, somatostatin

Identifiers

PMID26977395
PMCPMC4770267

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Registered trials

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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.