Evidence map›Paper›PMID 18291030›Full record

ArticleGenome biology2008

Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia.

Li Wei Chang, Jacqueline E Payton, Wenlin Yuan, Timothy J Ley, Rakesh Nagarajan, Gary D Stormo

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Genetic susceptibility ofGlobal medical genetics · 2025
    Article
  2. Complete miRNA-15/16 loss in mice promotes hematopoietic progenitor expansion and a myeloid-biased hyperproliferative state.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  5. Review
  6. Genetic susceptibility in childhood acute lymphoblastic leukemia.Medical oncology (Northwood, London, England) · 2017
    Review
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  12. Review
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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

6 authors at 1 institution in 1 country.

Li Wei ChangDepartment of Biomedical Engineering, Washington University, St Louis, MO 63130, USA. lwc1@ural.wustl.edu
Jacqueline E Payton
Wenlin Yuan
Timothy J Ley
Rakesh Nagarajan
Gary D Stormo
Washington University in St. Louis · US

Funding

Specimen Acquistition and Expression ProfilingP01CA101937 · NCI · WASHINGTON UNIVERSITY · PI LINK, DANIEL C · 2003 to 2023
$58.8M
POPULATION GENETICS AND DRUG METABOLISMU01GM063340 · NIGMS · WASHINGTON UNIVERSITY · PI MCLEOD, HOWARD L · 2001 to 2009
$17.4M
DNA PATTERN IDENTIFICATION AND ANALYSISR01HG000249 · NHGRI · WASHINGTON UNIVERSITY · PI STORMO, GARY D · 1990 to 2017
$5.6M
Integrated Bioinformatic Analysis of Genomic DatasetsK22LM008290 · NLM · WASHINGTON UNIVERSITY · PI NAGARAJAN, RAKESH · 2005 to 2007
$486k
SOCIAL COMPARISON AND COPING WITH SERIOUS ILLNESSF33CA008962 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GIBBONS, FREDERICK X · 1990 to 1991
–
NCI NIH HHS CA08962NCI NIH HHS CA101937NCI NIH HHS P01 CA101937NHGRI NIH HHS HG00249NHGRI NIH HHS R01 HG000249NIGMS NIH HHS GM63340NIGMS NIH HHS U01 GM063340NLM NIH HHS K22 LM008290NLM NIH HHS K22LM008290
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) comprises a group of diseases characterized by the abnormal development of malignant myeloid cells. Recent studies have demonstrated an important role for aberrant transcriptional regulation in AML pathophysiology. Although several transcription factors (TFs) involved in myeloid development and leukemia have been studied extensively and independently, how these TFs coordinate with others and how their dysregulation perturbs the genetic circuitry underlying myeloid differentiation is not yet known. We propose an integrated approach for mammalian genetic network construction by combining the analysis of gene expression profiling data and the identification of TF binding sites.

resultsWe utilized our approach to construct the genetic circuitries operating in normal myeloid differentiation versus acute promyelocytic leukemia (APL), a subtype of AML. In the normal and disease networks, we found that multiple transcriptional regulatory cascades converge on the TFs Rora and Rxra, respectively. Furthermore, the TFs dysregulated in APL participate in a common regulatory pathway and may perturb the normal network through Fos. Finally, a model of APL pathogenesis is proposed in which the chimeric TF PML-RARalpha activates the dysregulation in APL through six mediator TFs.

conclusionThis report demonstrates the utility of our approach to construct mammalian genetic networks, and to obtain new insights regarding regulatory circuitries operating in complex diseases in humans.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAnimalsBinding SitesCell DifferentiationComputational BiologyHumansLeukemia, Promyelocytic, AcuteMiceMyeloid CellsRatsSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID18291030
PMCPMC2374711
OpenAlexW2155169642

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.