Evidence map›Paper›PMID 30396239›Full record

ArticleMolecules and cells2018

Dynamic Transcriptome, DNA Methylome, and DNA Hydroxymethylome Networks During T-Cell Lineage Commitment.

Byoung-Ha Yoon, Mirang Kim, Min-Hyeok Kim, Hee-Jin Kim, Jeong-Hwan Kim, Jong Hwan Kim, Jina Kim, Yong Sung Kim, Daeyoup Lee, Suk-Jo Kang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Molecules and cells, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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 1 country.

Byoung-Ha YoonDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Mirang KimDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Min-Hyeok KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Hee-Jin KimGenome Editing Research Center, Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Jeong-Hwan KimGenome Editing Research Center, Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea.
Jong Hwan KimDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Jina KimDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Yong Sung KimDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Daeyoup LeeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Suk-Jo KangDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
Seon-Young KimDepartment of Functional Genomics, University of Science and Technology (UST), Daejeon, Korea.
Korea University of Science and Technology · KRKorea Advanced Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stepwise development of T cells from a multipotent precursor is guided by diverse mechanisms, including interactions among lineage-specific transcription factors (TFs) and epigenetic changes, such as DNA methylation and hydroxymethylation, which play crucial roles in mammalian development and lineage commitment. To elucidate the transcriptional networks and epigenetic mechanisms underlying T-cell lineage commitment, we investigated genome-wide changes in gene expression, DNA methylation and hydroxymethylation among populations representing five successive stages of T-cell development (DN3, DN4, DP, CD4

Indexed as

EpigenomicsGene Regulatory NetworksTranscriptomeAlternative SplicingAnimalsCell DifferentiationCell LineageDNADNA MethylationGene Expression RegulationHematopoiesisHumansT-LymphocytesTranscription FactorsDNATranscription FactorsDNA hydroxymethylationDNA methylationT-cell development

Identifiers

PMID30396239
PMCPMC6277565
OpenAlexW2917517012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.