Evidence map›Paper›PMID 36139405›Full record

ArticleCells2022

Bioinformatic Analyses of Broad H3K79me2 Domains in Different Leukemia Cell Line Data Sets.

Prerna Sharma, Hedieh Sattarifard, Narges Fatemiyan, Ted M Lakowski, James R Davie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Prerna SharmaDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.
Hedieh SattarifardDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.ORCID 0000-0003-3144-0781
Narges FatemiyanDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.
Ted M LakowskiCollege of Pharmacy Pharmaceutical Analysis Laboratory, University of Manitoba, Winnipeg, MB R3E 0V9, Canada.ORCID 0000-0002-6625-6717
James R DavieDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada.
University of Manitoba · CACancerCare Manitoba · CA

Funding

CIHR PJT-175226
6 · The paper itself

Abstract

A subset of expressed genes is associated with a broad H3K4me3 (histone H3 trimethylated at lysine 4) domain that extends throughout the gene body. Genes marked in this way in normal cells are involved in cell-identity and tumor-suppressor activities, whereas in cancer cells, genes driving the cancer phenotype (oncogenes) have this feature. Other histone modifications associated with expressed genes that display a broad domain have been less studied. Here, we identified genes with the broadest H3K79me2 (histone H3 dimethylated at lysine 79) domain in human leukemic cell lines representing different forms of leukemia. Taking a bioinformatic approach, we provide evidence that genes with the broadest H3K79me2 domain have known roles in leukemia (e.g.,

Indexed as

LeukemiaRNA, Long NoncodingCell LineChromatinComputational BiologyHistone-Lysine N-MethyltransferaseHistonesHumansJumonji Domain-Containing Histone DemethylasesLysineOxidoreductases, N-DemethylatingChromatinHistone-Lysine N-MethyltransferaseHistonesJMJD1C protein, humanJumonji Domain-Containing Histone DemethylasesLysineOxidoreductases, N-DemethylatingRNA, Long Noncodingbroad H3K79me2 domainschromatin accessibilityDOT1Lepigeneticsleukemia

Identifiers

PMID36139405
PMCPMC9496709
OpenAlexW4295592689

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.