Evidence map›Paper›PMID 39163202›Full record

ArticleCell reports2024

CRISPR screening uncovers a long-range enhancer for ONECUT1 in pancreatic differentiation and links a diabetes risk variant.

Samuel Joseph Kaplan, Wilfred Wong, Jielin Yan, Julian Pulecio, Hyein S Cho, Qianzi Li, Jiahui Zhao, Jayanti Leslie-Iyer, Jonathan Kazakov, Dylan Murphy and 5 more

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Samuel Joseph KaplanWeill Cornell Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY 10065, USA; Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Wilfred WongWeill Cornell Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY 10065, USA; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jielin YanDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Julian PulecioDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Hyein S ChoDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Qianzi LiWeill Cornell Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY 10065, USA; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jiahui ZhaoWeill Cornell Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY 10065, USA.
Jayanti Leslie-IyerDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jonathan KazakovDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Dylan MurphyWeill Cornell Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY 10065, USA.
Renhe LuoDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Kushal K DeyComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Effie ApostolouMeyer Cancer Center, Division of Neuro-Oncology, Department of Neurology, Sandra and Edward Meyer Cancer Center, New York-Presbyterian Hospital/Weill Cornell Medicine, New York, NY 10065, USA.
Christina S LeslieComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Danwei HuangfuDevelopmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: huangfud@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Genomic control of gene regulatory networks governing early human lineagedecisionsU01HG012051 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI Michael A Beer, ANNA-KATERINA HADJANTONAKIS · 2021 to 2026
$8.3M
TRAINING PROGRAM IN MOLECULAR AND CELLULAR BIOLOGYT32GM008539 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI BROWN, ANTHONY M.C. · 1995 to 2020
$5.0M
Understanding Pancreatic Progenitors for Diabetes Cell-Replacement TherapyR01DK096239 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI HUANGFU, DANWEI · 2012 to 2021
$4.4M
Discovery of diabetes-relevant β cell enhancers through 4D enhancer mapping, integrative analysis, and large-scale CRISPRi perturbation screensU01DK128852 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI APOSTOLOU, EFFIE, HUANGFU, DANWEI · 2020 to 2024
$3.5M
New approaches for leveraging single-cell data to identify disease-critical genes and gene setsR00HG012203 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI DEY, KUSHAL KUMAR · 2023 to 2025
$747k
NCI NIH HHS P30 CA008748NHGRI NIH HHS R00 HG012203NHGRI NIH HHS U01 HG012051NIDDK NIH HHS R01 DK096239NIDDK NIH HHS U01 DK128852NIGMS NIH HHS T32 GM008539
6 · The paper itself

Abstract

Functional enhancer annotation is critical for understanding tissue-specific transcriptional regulation and prioritizing disease-associated non-coding variants. However, unbiased enhancer discovery in disease-relevant contexts remains challenging. To identify enhancers pertinent to diabetes, we conducted a CRISPR interference (CRISPRi) screen in the human pluripotent stem cell (hPSC) pancreatic differentiation system. Among the enhancers identified, we focused on an enhancer we named ONECUT1e-664kb, ∼664 kb from the ONECUT1 promoter. Previous studies have linked ONECUT1 coding mutations to pancreatic hypoplasia and neonatal diabetes. We found that homozygous deletion of ONECUT1e-664kb in hPSCs leads to a near-complete loss of ONECUT1 expression and impaired pancreatic differentiation. ONECUT1e-664kb contains a type 2 diabetes-associated variant (rs528350911) disrupting a GATA motif. Introducing the risk variant into hPSCs reduced binding of key pancreatic transcription factors (GATA4, GATA6, and FOXA2), supporting its causal role in diabetes. This work highlights the utility of unbiased enhancer discovery in disease-relevant settings for understanding monogenic and complex disease.

Indexed as

Cell DifferentiationEnhancer Elements, GeneticPancreasClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDiabetes Mellitus, Type 2GATA6 Transcription FactorHumansPluripotent Stem CellsGATA6 Transcription FactorCP: Developmental biologyCP: Molecular biologyCRISPRi screenenhancerneonatal diabetesnon-coding variantONECUT1pancreas developmentT2Dtype 2 diabetesvariant of uncertain significanceVUS

Identifiers

PMID39163202
PMCPMC11406439

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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.