2009
DOI: 10.1016/j.jneumeth.2009.03.013
|View full text |Cite
|
Sign up to set email alerts
|

The utility of functional interaction and cluster analysis in CNS proteomics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
13
0

Year Published

2009
2009
2017
2017

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(15 citation statements)
references
References 28 publications
2
13
0
Order By: Relevance
“…Changes in HSPB6 expression have been found in several other cancers. In gliomas, HSPB6 was reproducibly downregulated in tissue specimens when compared to normal brain tissues [88]; in primary lung cell adenocarcinomas HSPB6 was substantially downregulated [89]. Mean anti-HSPB6 antibody concentrations were negatively correlated with ovarian cancer malignancy.…”
Section: Role Of Hspb6 In Cancermentioning
confidence: 96%
“…Changes in HSPB6 expression have been found in several other cancers. In gliomas, HSPB6 was reproducibly downregulated in tissue specimens when compared to normal brain tissues [88]; in primary lung cell adenocarcinomas HSPB6 was substantially downregulated [89]. Mean anti-HSPB6 antibody concentrations were negatively correlated with ovarian cancer malignancy.…”
Section: Role Of Hspb6 In Cancermentioning
confidence: 96%
“…Generated IPA networks were ranked by statistical 'score' based upon the inclusion of as many proteins from the inputted list as possible. For more details on IPA network scores and features, please refer to references [11,12] or Ingenuity Systems Ltd online help manual (https://analysis. ingenuity.com/pa/info/help/help.htm#ipa-help.htm).…”
Section: Systematic Review Of Meningioma Proteomicsmentioning
confidence: 99%
“…Both the inspection of physical properties of genes, transcripts and proteins as well as the analysis of gene ontology and the functional interaction and cluster analysis in neuroproteomics are required to produce interpretation of proteomic data and further expand our knowledge about the complexity of the brain [96]. There have been a variety of bioinformatics tools used for this purpose, for example, the key proteomics databases PRIDE [97] and BrainProfilDB [98], which aimed to provide a database system for integrating large sets of high-throughput functional genomic data of the Human Brain Proteome Project (HBPP).…”
Section: Comparative Analysis and Integration Of Transcriptomic And Pmentioning
confidence: 99%