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Individual variability of protein expression in human tissues

ABSTRACT: A retrospective analysis of proteomics data from nine different human tissues, to understand the inter-individual and inter-tissue variability in protein expression. We used the data to build robust classifiers to predict the tissue of origin.

INSTRUMENT(S): LTQ Orbitrap Velos, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Ovary, Temporal Lobe, Blood Plasma, Monocyte, Substantia Nigra, Cerebrospinal Fluid, Liver, Blood Serum, Pancreas

SUBMITTER: Matthew Monroe

LAB HEAD: Samuel Payne

PROVIDER: PXD010271 | Pride | 2018-10-22

REPOSITORIES: Pride

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Individual Variability of Protein Expression in Human Tissues.

Kushner Irena K IK Clair Geremy G Purvine Samuel Owen SO Lee Joon-Yong JY Adkins Joshua N JN Payne Samuel H SH

Journal of proteome research 20181018 11

Human tissues are known to exhibit interindividual variability, but a deeper understanding of the different factors affecting protein expression is necessary to further apply this knowledge. Our goal was to explore the proteomic variability between individuals as well as between healthy and diseased samples, and to test the efficacy of machine learning classifiers. In order to investigate whether disparate proteomics data sets may be combined, we performed a retrospective analysis of proteomics ...[more]

PMID: 30300549

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