Evidence map›Paper›PMID 22695124›Full record

ArticleBMC research notes2012

A framework to identify gene expression profiles in a model of inflammation induced by lipopolysaccharide after treatment with thalidomide.

Renata T Paiva, Alessandra M Saliba, Tatiana O Fulco, Jorgenilce de Souza Sales, Daniel Serra de Carvalho, Elizabeth P Sampaio, Ulisses G Lopes, Euzenir N Sarno, Flavio F Nobre

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2012. 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
0.2field-weighted citation impact, top 39% 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, 2 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

9 authors at 3 institutions in 1 country.

Renata T PaivaBiomedical Engineering Program, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Alessandra M Saliba
Tatiana O Fulco
Jorgenilce de Souza Sales
Daniel Serra de Carvalho
Elizabeth P Sampaio
Ulisses G Lopes
Euzenir N Sarno
Flavio F Nobre
Fundação Oswaldo Cruz · BRUniversidade Federal do Rio de Janeiro · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThalidomide is an anti-inflammatory and anti-angiogenic drug currently used for the treatment of several diseases, including erythema nodosum leprosum, which occurs in patients with lepromatous leprosy. In this research, we use DNA microarray analysis to identify the impact of thalidomide on gene expression responses in human cells after lipopolysaccharide (LPS) stimulation. We employed a two-stage framework. Initially, we identified 1584 altered genes in response to LPS. Modulation of this set of genes was then analyzed in the LPS stimulated cells treated with thalidomide.

resultsWe identified 64 genes with altered expression induced by thalidomide using the rank product method. In addition, the lists of up-regulated and down-regulated genes were investigated by means of bioinformatics functional analysis, which allowed for the identification of biological processes affected by thalidomide. Confirmatory analysis was done in five of the identified genes using real time PCR.

conclusionsThe results showed some genes that can further our understanding of the biological mechanisms in the action of thalidomide. Of the five genes evaluated with real time PCR, three were down regulated and two were up regulated confirming the initial results of the microarray analysis.

Indexed as

Computational BiologyOligonucleotide Array Sequence AnalysisAnti-Inflammatory AgentsCells, CulturedGene Expression ProfilingGene Expression RegulationHumansInflammationLeukocytes, MononuclearLipopolysaccharidesReal-Time Polymerase Chain ReactionRNA, MessengerThalidomideAnti-Inflammatory AgentsLipopolysaccharidesRNA, MessengerThalidomide

Identifiers

PMID22695124
PMCPMC3434117
OpenAlexW2101543487

What OpenQuestion holds

Textmetadata
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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.