2014
DOI: 10.2174/1573394710666140313003905
|View full text |Cite
|
Sign up to set email alerts
|

Mining the Dark Matter of the Cancer Proteome for Novel Biomarkers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
11
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
7

Relationship

6
1

Authors

Journals

citations
Cited by 10 publications
(11 citation statements)
references
References 96 publications
0
11
0
Order By: Relevance
“…[9][10][11] In addition, the following genomewide association tools were used: the Genetic Association Database, GAD (31) 39 All of the bioinformatics mining was verified by two independent experiments. Big data was downloaded two independent times and the output verified for consistency.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…[9][10][11] In addition, the following genomewide association tools were used: the Genetic Association Database, GAD (31) 39 All of the bioinformatics mining was verified by two independent experiments. Big data was downloaded two independent times and the output verified for consistency.…”
Section: Methodsmentioning
confidence: 99%
“…Reasoning that such novel targets may emerge from characterizing the dark matter proteome, we have embarked on a systematic dissection of the uncharacterized proteins, the Open Reading Frames (ORFs) in the genome. [9][10][11] Our recent development of a cancer-associated fingerprint from the dark matter proteome, the OncoORFs, 11 provided a framework for expanding our approaches to other diseases.…”
Section: -8mentioning
confidence: 99%
“…In a series of recent reports our laboratory has demonstrated the diagnostic and therapy potential of these ORFs, termed the "Dark Matter" of the human proteome, in diverse therapeutic areas including cancer, diabetes and neurodegenerative diseases [25,26,40]. Hypothesizing that these novel proteins may offer new molecular entities to further Ebola virus research, a comprehensive analysis of the ORFs was undertaken (Table 2 Included as supplementary).…”
Section: Analysis Of the Dark Matter Of The Human Proteome Associatedmentioning
confidence: 99%
“…Targets relevant to cancer and diabetes were identified [21,22,48,54]. Reasoning that the 30 uncharacterized proteins, that showed strong genetic association with neurological diseases may offer novel biomarker and target potential, a comprehensive analysis was undertaken (Table 2 Included as supplementary).…”
Section: Uncharacterized Neurogenes: Novel Targetsmentioning
confidence: 99%