Evidence map›Paper›PMID 32744504›Full record

ArticleeLife2020

A human ESC-based screen identifies a role for the translated lncRNA

Bjoern Gaertner, Sebastiaan van Heesch, Valentin Schneider-Lunitz, Jana Felicitas Schulz, Franziska Witte, Susanne Blachut, Steven Nguyen, Regina Wong, Ileana Matta, Norbert Hübner and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Finding functional microproteins.Trends in genetics : TIG · 2025
    Review
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  16. Upstream open reading frames may contain hundreds of novel human exons.bioRxiv : the preprint server for biology · 2024
    Article
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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

11 authors at 2 institutions in 2 countries.

Bjoern Gaertner *Departments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, San Diego, United States.
Sebastiaan van Heesch *Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.ORCID 0000-0001-9593-1980
Valentin Schneider-LunitzCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Jana Felicitas SchulzCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Franziska WitteCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Susanne BlachutCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Steven NguyenDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, San Diego, United States.
Regina WongDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, San Diego, United States.
Ileana MattaDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, San Diego, United States.
Norbert HübnerCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Maike SanderDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, San Diego, United States.ORCID 0000-0001-5308-7785
Max Delbrück Center · DEUniversity of California San Diego · US

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Nkx6 gene function in pancreas developmentR01DK068471 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI WORTHAM, MATTHEW · 2004 to 2024
$6.6M
Novel insights into nutrient-dependent regulation of beta cell proliferationR01DK078803 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDER, MAIKE · 2007 to 2022
$4.4M
European Molecular Biology Organization ALTF 186-2015Horizon 2020 Framework Programme AdG788970Larry L. Hillblom Foundation 2015-D-021-FELNIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK068471NIDDK NIH HHS R01 DK078803
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) are a heterogenous group of RNAs, which can encode small proteins. The extent to which developmentally regulated lncRNAs are translated and whether the produced microproteins are relevant for human development is unknown. Using a human embryonic stem cell (hESC)-based pancreatic differentiation system, we show that many lncRNAs in direct vicinity of lineage-determining transcription factors (TFs) are dynamically regulated, predominantly cytosolic, and highly translated. We genetically ablated ten such lncRNAs, most of them translated, and found that nine are dispensable for pancreatic endocrine cell development. However, deletion of

Indexed as

Cell DifferentiationCells, CulturedCRISPR-Cas SystemsGene DeletionGene Expression Regulation, DevelopmentalGene Knockout TechniquesHEK293 CellsHuman Embryonic Stem CellsHumansIslets of LangerhansMaleProtein BiosynthesisRNA, Long NoncodingTranscription FactorsRNA, Long NoncodingTranscription Factorscomputational biologydevelopmental biologyendocrine developmentendodermhumanlncRNAmicroproteinsORF detectionpancreassystems biology

Identifiers

PMID32744504
PMCPMC7423336
OpenAlexW3047478576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.