Evidence map›Paper›PMID 26801220›Full record

ReviewCellular and molecular life sciences : CMLS2016

Epigenetic regulation of early neural fate commitment.

Yunbo Qiao, Xianfa Yang, Naihe Jing

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2016. 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
2.4field-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

11 citing papers in PubMed, 15 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

3 authors at 2 institutions in 1 country.

Yunbo QiaoState Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Xianfa YangState Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Naihe JingState Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China. njing@sibcb.ac.cn.
Chinese Academy of Sciences · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early neural fate commitment is a key process in neural development and establishment of the central nervous system, and this process is tightly controlled by extrinsic signals, intrinsic factors, and epigenetic regulation. Here, we summarize the main findings regarding the regulatory network of epigenetic mechanisms that play important roles during early neural fate determination and embryonic development, including histone modifications, chromatin remodeling, DNA modifications, and RNA-level regulation. These regulatory mechanisms coordinate to play essential roles in silencing of pluripotency genes and activating key neurodevelopmental genes during cell fate commitment at DNA, histone, chromatin, and RNA levels. Moreover, we discuss the relationship between epigenetic regulation, signaling pathways, and intrinsic factors during early neural fate specification.

Indexed as

Epigenesis, GeneticAnimalsCell DifferentiationCentral Nervous SystemChromatinChromatin Assembly and DisassemblyDNAHistonesProtein Processing, Post-TranslationalRNA InterferenceChromatinDNAHistonesChromatin remodelingDNA methylationEarly neural fate commitmentEpigenetic regulationHistone modification

Identifiers

PMID26801220
PMCPMC11108527
OpenAlexW2315639240

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.