"Diabetes Associated Genes from the Dark Matter of the Human Proteome"

Delgado, Ana Paula; Br, Pamela; Ao,; Narayanan, Ramaswamy

doi:10.15406/mojpb.2014.01.00020

MOJPB

2014

DOI: 10.15406/mojpb.2014.01.00020

|View full text |Cite

"Diabetes Associated Genes from the Dark Matter of the Human Proteome"

Ana Paula Delgado¹,

Pamela Br²,

Ao Ao³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2015

Publication Types

Select...

Article5

Relationship

Self Cite5

Independent0

Authors

Journals

Cited by 7 publications

(1 citation statement)

References 87 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our own results as well as several other reports support such a lack of correlation. [30][31][32][33][34] During the early stages of microarray technology, vast data sets were generated with no standards. The establishment of Minimum Information About a Microarray Experiment, MIAME, 35 greatly reduced the noise in subsequent array-based datasets.…”

mentioning

confidence: 99%

Transcriptome and Proteome Analysis: A Perspective on Correlation

Narayanan¹,

Ven²

2014

MOJPB

Self Cite

View full text Add to dashboard Cite

and proteomics Db. The last two mentioned studies together account for approximately 84% of the total annotated protein-coding genes in humans. Together, these two studies identified >18,000 proteins encoded by both known genes and uncharacterized Open Reading Frames. Over 20,000 protein isoforms expressions were also characterized. 25,26 Numerous normal tissues, body fluids and cell lines were used in these two studies. These recently described protein expression databases greatly expand our ability to establish correlative evidence for mRNA and protein expression for most of the human proteome.Based on mRNA expression using a high throughput transcriptome analysis, interpretations are often made about the functional relevance, pathways, interacting proteins and the possibility of drug therapy use. Protein expression is often inferred, but frequently a correlation of mRNA versus protein is missing in studies. The complex regulation of protein expression at the level of noncoding RNAs, DNA methylation, epigenetic changes, gene amplifications, copy number variations, mutations, post translational modifications such as acetylation, amidation, myristylation, phosphorylation, sumoylation, Ubiquitination etc., stability and degradation as well as the interacting proteins adds to the complexity of transcriptome-based interpretations. 27,28

show abstract

mentioning

confidence: 99%

Transcriptome and Proteome Analysis: A Perspective on Correlation

Narayanan¹,

Ven²

2014

MOJPB

Self Cite

View full text Add to dashboard Cite

show abstract

Healthy Genome: A Myth or A Paradigm Shift in Bioinformatics Research?

Narayanan¹

2014

MOJPB

Self Cite

View full text Add to dashboard Cite

Ebola-Associated Genes in the Human Genome: Implications for Novel Targets

Narayanan¹

2014

MOJPB

Self Cite

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

"Diabetes Associated Genes from the Dark Matter of the Human Proteome"

Cited by 7 publications

References 87 publications

Transcriptome and Proteome Analysis: A Perspective on Correlation

Transcriptome and Proteome Analysis: A Perspective on Correlation

Healthy Genome: A Myth or A Paradigm Shift in Bioinformatics Research?

Ebola-Associated Genes in the Human Genome: Implications for Novel Targets

Contact Info

Product

Resources

About