2014
DOI: 10.1159/000355814
|View full text |Cite
|
Sign up to set email alerts
|

Gene Expression Analysis in Tubule Interstitial Compartments Reveals Candidate Agents for IgA Nephropathy

Abstract: Background/Aims: Our aim was to explore the molecular mechanism underlying development of IgA nephropathy and discover candidate agents for IgA nephropathy. Methods: The differentially expressed genes (DEGs) between patients with IgA nephropathy and normal controls were identified by the data of GSE35488 downloaded from GEO (Gene Expression Omnibus) database. The co-expressed gene pairs among DEGs were screened to construct the gene-gene interaction network. Gene Ontology (GO) enrichment analysis was performed… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 32 publications
0
12
0
Order By: Relevance
“…However, whether patients with SIgA deposition have similar clinical pathological characteristics to patients with IgA deposition, and whether SIgA has a similar pathogenic role to IgA in IgAN are unknown. Recently, some studies began to explore the abnormal expression of gene in IgAN [14,15]. microRNAs (miRNAs) modulate protein expression by targeting mRNA transcripts and triggering translation repression or RNA degradation [16].…”
Section: Introductionmentioning
confidence: 99%
“…However, whether patients with SIgA deposition have similar clinical pathological characteristics to patients with IgA deposition, and whether SIgA has a similar pathogenic role to IgA in IgAN are unknown. Recently, some studies began to explore the abnormal expression of gene in IgAN [14,15]. microRNAs (miRNAs) modulate protein expression by targeting mRNA transcripts and triggering translation repression or RNA degradation [16].…”
Section: Introductionmentioning
confidence: 99%
“…The third aspect is related to the statistical procedure used. Previous microarray gene expression studies on biopsy specimens 17,18,20,34 simply compared the IgAN transcriptome with normal renal tissue. Here, we were able to exclude the transcripts that were common to other non-IgAN because they were automatically filtered out by selecting specific gene sets from the VENN diagram.…”
Section: Discussionmentioning
confidence: 99%
“…Integration of intrarenal transcriptomic data with patient‐specific non‐invasive molecular profile will allow generation of signatures that reflects individual's kidney progression pathogenesis. Pattern‐matching tools, which have been helpful in understanding disease and advancing the discovery of novel drugs in oncology can be applied to detect similarities among gene expression signatures . The drug‐specific molecular profile with the highest correlation to the patient's molecular profile is hypothesized to be the most appropriate candidate.…”
Section: The Use Of Systems Biology Approach To Predict Patients' Resmentioning
confidence: 99%
“…Pattern-matching tools, which have been helpful in understanding disease and advancing the discovery of novel drugs in oncology can be applied to detect similarities among gene expression signatures. [46][47][48][49] The drug-specific molecular profile with the highest correlation to the patient's molecular profile is hypothesized to be the most appropriate candidate. This type of integrative systems biology approach is "the right drug for the right patients" approach physician will need to advance treatment in DKD.…”
Section: The Identification Of Novel Molecular Markers Associated Wmentioning
confidence: 99%