Evidence map›Paper›PMID 18365023›Full record

ArticlePloS one2008

An integrative genomic and epigenomic approach for the study of transcriptional regulation.

Maria E Figueroa, Mark Reimers, Reid F Thompson, Kenny Ye, Yushan Li, Rebecca R Selzer, Jakob Fridriksson, Elisabeth Paietta, Peter Wiernik, Roland D Green and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

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  14. Kidney cancer is characterized by aberrant methylation of tissue-specific enhancers that are prognostic for overall survival.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
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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

12 authors at 4 institutions in 1 country.

Maria E FigueroaDepartment of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Mark Reimers
Reid F Thompson
Kenny Ye
Yushan Li
Rebecca R Selzer
Jakob Fridriksson
Elisabeth Paietta
Peter Wiernik
Roland D Green
John M Greally
Ari Melnick
Albert Einstein College of Medicine · USLa Roche College · USLady of Mercy Medical Center · USVirginia Commonwealth University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
Transcriptional silencing by the BCL6 oncoproteinR01CA104348 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MELNICK, ARI M. · 2004 to 2014
$2.6M
Genomic analysis of mammalian imprinted lociR01HD044078 · NICHD · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI GREALLY, JOHN · 2005 to 2008
$1.2M
NCI NIH HHS R01 CA104348NICHD NIH HHS R01 HD044078NIGMS NIH HHS GM007288NIGMS NIH HHS T32 GM007288
6 · The paper itself

Abstract

The molecular heterogeneity of acute leukemias and other tumors constitutes a major obstacle towards understanding disease pathogenesis and developing new targeted-therapies. Aberrant gene regulation is a hallmark of cancer and plays a central role in determining tumor phenotype. We predicted that integration of different genome-wide epigenetic regulatory marks along with gene expression levels would provide greater power in capturing biological differences between leukemia subtypes. Gene expression, cytosine methylation and histone H3 lysine 9 (H3K9) acetylation were measured using high-density oligonucleotide microarrays in primary human acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) specimens. We found that DNA methylation and H3K9 acetylation distinguished these leukemias of distinct cell lineage, as expected, but that an integrative analysis combining the information from each platform revealed hundreds of additional differentially expressed genes that were missed by gene expression arrays alone. This integrated analysis also enhanced the detection and statistical significance of biological pathways dysregulated in AML and ALL. Integrative epigenomic studies are thus feasible using clinical samples and provide superior detection of aberrant transcriptional programming than single-platform microarray studies.

Indexed as

Gene Expression RegulationGenomicsTranscription, GeneticAcetylationBase SequenceCell Line, TumorChromatin ImmunoprecipitationDNA MethylationDNA PrimersHistonesHumansLeukemia, Myeloid, AcuteOligonucleotide Array Sequence AnalysisPrecursor Cell Lymphoblastic Leukemia-LymphomaDNA PrimersHistones

Identifiers

PMID18365023
PMCPMC2266992
OpenAlexW2002525399

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.