Evidence map›Paper›PMID 21715372›Full record

ArticleNucleic acids research2011

Internal standard-based analysis of microarray data2--analysis of functional associations between HVE-genes.

Igor M Dozmorov, James Jarvis, Ricardo Saban, Doris M Benbrook, Edward Wakeland, Ivona Aksentijevich, John Ryan, Nicholas Chiorazzi, Joel M Guthridge, Elizabeth Drewe and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. sncRNA-1 Is a Small Noncoding RNA Produced byFrontiers in microbiology · 2020
    Article
  7. Article
  8. Article
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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

13 authors.

Igor M DozmorovOklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA. igor-dozmorov@omrf.org
James Jarvis
Ricardo Saban
Doris M Benbrook
Edward Wakeland
Ivona Aksentijevich
John Ryan
Nicholas Chiorazzi
Joel M Guthridge
Elizabeth Drewe
Patrick J Tighe
Michael Centola
Ivan Lefkovits

Funding

VACCINE-TARGETED IDENTIFICATION OF FITNESS DETERMINANTS IN THE HIV-1 ENVELOPEP20RR016478 · NCRR · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI JIANG, YUHAO · 2001 to 2011
$35.8M
VALIDATING NOVEL GENES IMPLICATED IN LEUKOCYTE CHEMOTAXISP20RR020143 · NCRR · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI ALARCON-RIQUELME, MARTA E · 2004 to 2011
$21.0M
Characterization of SLE-susceptibility loci on mouse chromosome 1R01AI045050 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Laurence Morel · 2000 to 2026
$11.5M
SNP Confirmation and High Throughput Genotyping CoreP30AR053483 · NIAMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GUTHRIDGE, JOEL MARVIN · 2007 to 2017
$6.7M
Mechanism of SHeA2 Action in Ovarian CancerR01CA106713 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI BENBROOK, DORIS MANGIARACINA · 2005 to 2009
$1.3M
Dynamics of Therapeutic Response Within the TREAT TrialR01AI084200 · NIAID · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI JARVIS, JAMES N · 2009 to 2010
$1.0M
NCI NIH HHS CA106713NCRR NIH HHS P20RR016478NCRR NIH HHS P20 RR020143NIAID NIH HHS R01 AI045050NIAID NIH HHS R01 AI084200NIAMS NIH HHS P30 AR053483
6 · The paper itself

Abstract

In this work we apply the Internal Standard-based analytical approach that we described in an earlier communication and here we demonstrate experimental results on functional associations among the hypervariably-expressed genes (HVE-genes). Our working assumption was that those genetic components, which initiate the disease, involve HVE-genes for which the level of expression is undistinguishable among healthy individuals and individuals with pathology. We show that analysis of the functional associations of the HVE-genes is indeed suitable to revealing disease-specific differences. We show also that another possible exploit of HVE-genes for characterization of pathological alterations is by using multivariate classification methods. This in turn offers important clues on naturally occurring dynamic processes in the organism and is further used for dynamic discrimination of groups of compared samples. We conclude that our approach can uncover principally new collective differences that cannot be discerned by individual gene analysis.

Indexed as

Genetic VariationCluster AnalysisData Interpretation, StatisticalDiseaseGene ExpressionGene Expression ProfilingGene Regulatory NetworksHumansOligonucleotide Array Sequence AnalysisReference StandardsTumor Necrosis Factor-alphaTumor Necrosis Factor-alpha

Identifiers

PMID21715372
PMCPMC3185418

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Registered trials

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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.