Evidence map›Paper›PMID 32969152›Full record

ArticleEMBO reports2020

Regulation of neuronal commitment in mouse embryonic stem cells by the Reno1/Bahcc1 locus.

Hadas Hezroni, Rotem Ben-Tov Perry, Noa Gil, Neta Degani, Igor Ulitsky

Open access · bronzeAbstract read
In one paragraph

Article in EMBO reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Hadas HezroniWeizmann Institute of Science, Rehovot, Israel.
Rotem Ben-Tov PerryWeizmann Institute of Science, Rehovot, Israel.
Noa GilWeizmann Institute of Science, Rehovot, Israel.
Neta DeganiWeizmann Institute of Science, Rehovot, Israel.
Igor UlitskyWeizmann Institute of Science, Rehovot, Israel.ORCID 0000-0003-0555-6561
Weizmann Institute of Science · IL

Funding

CHE | Israeli Centers for Research Excellence (I-CORE) 1796/12EC | H2020 | H2020 Priority Excellent Science | H2020 European Research Council (ERC)lincSAFARINella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
6 · The paper itself

Abstract

Mammalian genomes encode thousands of long noncoding RNAs (lncRNAs), yet the biological functions of most of them remain unknown. A particularly rich repertoire of lncRNAs found in mammalian brain and in the early embryo. We used RNA-seq and computational analysis to prioritize lncRNAs that may regulate commitment of pluripotent cells to a neuronal fate and perturbed their expression prior to neuronal differentiation. Knockdown by RNAi of two highly conserved and well-expressed lncRNAs, Reno1 (2810410L24Rik) and lnc-Nr2f1, decreased the expression of neuronal markers and led to massive changes in gene expression in the differentiated cells. We further show that the Reno1 locus forms increasing spatial contacts during neurogenesis with its adjacent protein-coding gene Bahcc1. Loss of either Reno1 or Bahcc1 leads to an early arrest in neuronal commitment, failure to induce a neuronal gene expression program, and to global reduction in chromatin accessibility at regions that are marked by the H3K4me3 chromatin mark at the onset of differentiation. Reno1 and Bahcc1 thus form a previously uncharacterized circuit required for the early steps of neuronal commitment.

Indexed as

Mouse Embryonic Stem CellsRNA, Long NoncodingAnimalsCell DifferentiationMiceNeurogenesisNeuronsRNA, Long NoncodingBahcc1embryonic stem cellslong noncoding RNAneuronal differentiationReno1

Identifiers

PMID32969152
PMCPMC7645239
OpenAlexW3088121280

What OpenQuestion holds

Textmetadata
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.