Evidence map›Paper›PMID 22193719›Full record

ArticleThe EMBO journal2012

Human long non-coding RNAs promote pluripotency and neuronal differentiation by association with chromatin modifiers and transcription factors.

Shi-Yan Ng, Rory Johnson, Lawrence W Stanton

Abstract read
In one paragraph

Article in The EMBO journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 324 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
324citing 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

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

  1. Pooled it
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  10. The landscape of non-reference SINE-VNTR-Alus in amyotrophic lateral sclerosis.Experimental biology and medicine (Maywood, N.J.) · 2025
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  13. Long noncoding RNAs in ubiquitination, protein degradation, and human diseases.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
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264 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Shi-Yan NgStem Cell and Developmental Biology Group, Genome Institute of Singapore, Singapore.
Rory Johnson
Lawrence W Stanton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are a numerous class of newly discovered genes in the human genome, which have been proposed to be key regulators of biological processes, including stem cell pluripotency and neurogenesis. However, at present very little functional characterization of lncRNAs in human differentiation has been carried out. In the present study, we address this using human embryonic stem cells (hESCs) as a paradigm for pluripotency and neuronal differentiation. With a newly developed method, hESCs were robustly and efficiently differentiated into neurons, and we profiled the expression of thousands of lncRNAs using a custom-designed microarray. Some hESC-specific lncRNAs involved in pluripotency maintenance were identified, and shown to physically interact with SOX2, and PRC2 complex component, SUZ12. Using a similar approach, we identified lncRNAs required for neurogenesis. Knockdown studies indicated that loss of any of these lncRNAs blocked neurogenesis, and immunoprecipitation studies revealed physical association with REST and SUZ12. This study indicates that lncRNAs are important regulators of pluripotency and neurogenesis, and represents important evidence for an indispensable role of lncRNAs in human brain development.

Indexed as

Cell DifferentiationChromatinFluorescent Antibody TechniqueGene Knockdown TechniquesHumansNeuronsOligonucleotide Array Sequence AnalysisRNA, UntranslatedTranscription FactorsChromatinRNA, UntranslatedTranscription Factors

Identifiers

PMID22193719
PMCPMC3273385

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.