Evidence map›Paper›PMID 24235919›Full record

ArticleAfrican health sciences2013

Global analysis of differential expressed genes in ECV304 Endothelial-like cells infected with human cytomegalovirus.

Mo Xiaoyang, Z Haiquan, Z Huanying, K Changwen, Z Wenling, Tu Yanyang, Z Yongsheng

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in African health sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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. Nodding syndrome, infections and sexuality.African health sciences · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Mo XiaoyangDepartment of Clinical Laborotary Science, Guiyang Medical College, Guiyang, Guizhou 550004, China.
Z Haiquan
Z Huanying
K Changwen
Z Wenling
Tu Yanyang
Z Yongsheng
Tang Du Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman cytomegalovirus (HCMV) is a virus which has the potential to alter cellular gene expression through multiple mechanisms.

objectiveWith the application of DNA microarrays, we could monitor the effects of pathogens on host-cell gene expression programmes in great depth and on a broad scale.

methodsChanges in mRNA expression levels of human endothelial-like ECV304 cells following infection with human cytomegalovirus AD169 strain was analyzed by a microarray system comprising 21073 60-mer oligonucleotide probes which represent 18716 human genes or transcripts.

resultsThe results from cDNA microarray showed that there were 559 differential expressed genes consisted of 471 upregulated genes and 88 down-regulated genes. Real-time qPCR was performed to validate the expression of 6 selected genes (RPS24, MGC8721, SLC27A3, MST4, TRAF2 and LRRC28), and the results of which were consistent with those from the microarray. Among 237 biology processes, 39 biology processes were found to be related significantly to HCMV-infection. The signal transduction is the most significant biological process with the lowest p value (p=0.005) among all biological process which involved in response to HCMV infection.

conclusionSeveral of these gene products might play key roles in virus-induced pathogenesis. These findings may help to elucidate the pathogenic mechanisms of HCMV caused diseases.

Indexed as

Gene Expression ProfilingChinaCytomegalovirusCytomegalovirus InfectionsEndothelial CellsFemaleHumansMalePolymerase Chain ReactionTissue Array AnalysisGene expression profilingHuman cytomegalovirusinfectomicsmicroarray

Identifiers

PMID24235919
PMCPMC3824489
OpenAlexW2060411102

What OpenQuestion holds

Textmetadata
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.