Proteomics

Dataset Information

0

HS_iPOP_PBMC2011_SerumProteomics_r1

ABSTRACT: HS_iPOP_PBMC2011_SerumProteomics_r1

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Plasma Non-glyco

SUBMITTER: Chen R et al. 

PROVIDER: PAe003762 | PeptideAtlas | 2012-12-31

REPOSITORIES: PeptideAtlas

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PAe003762_7607_tandem.params Other
PAe003762_README Other
PAe003762_Search_Results_7607_201211210616.properties Other
PAe003762_Search_Results_7607_201211210616.tar.gz Other
PAe003762_mzML_201211210611.properties Other
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Publications

Personal omics profiling reveals dynamic molecular and medical phenotypes.

Chen Rui R   Mias George I GI   Li-Pook-Than Jennifer J   Jiang Lihua L   Lam Hugo Y K HY   Chen Rong R   Miriami Elana E   Karczewski Konrad J KJ   Karczewski Konrad J KJ   Hariharan Manoj M   Dewey Frederick E FE   Cheng Yong Y   Clark Michael J MJ   Im Hogune H   Habegger Lukas L   Balasubramanian Suganthi S   O'Huallachain Maeve M   Dudley Joel T JT   Hillenmeyer Sara S   Haraksingh Rajini R   Sharon Donald D   Euskirchen Ghia G   Lacroute Phil P   Bettinger Keith K   Boyle Alan P AP   Kasowski Maya M   Grubert Fabian F   Seki Scott S   Garcia Marco M   Whirl-Carrillo Michelle M   Gallardo Mercedes M   Blasco Maria A MA   Greenberg Peter L PL   Snyder Phyllis P   Klein Teri E TE   Altman Russ B RB   Butte Atul J AJ   Ashley Euan A EA   Gerstein Mark M   Nadeau Kari C KC   Tang Hua H   Snyder Michael M  

Cell 20120301 6

Personalized medicine is expected to benefit from combining genomic information with regular monitoring of physiological states by multiple high-throughput methods. Here, we present an integrative personal omics profile (iPOP), an analysis that combines genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from a single individual over a 14 month period. Our iPOP analysis revealed various medical risks, including type 2 diabetes. It also uncovered extensive, dynamic changes  ...[more]

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