Multiomics study of HepG2 cell line proteome | Zendy

Ekaterina V. Poverennaya | Zendy; Olga I. Kiseleva | Zendy; Elena A. Ponomarenko | Zendy; Stanislav Naryzhny | Zendy; Victor G. Zgoda | Zendy; А.В. Лисица | Zendy

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Multiomics study of HepG2 cell line proteome

Author(s) -

Ekaterina V. Poverennaya,

Olga I. Kiseleva,

Elena A. Ponomarenko,

Stanislav Naryzhny,

Victor G. Zgoda,

А.В. Лисица

Publication year - 2017

Publication title -

biomeditsinskaya khimiya

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.192

H-Index - 15

eISSN - 2310-6972

pISSN - 2310-6905

DOI - 10.18097/pbmc20176305373

Subject(s) - proteome , computational biology , transcriptome , proteomics , alternative splicing , biology , bioinformatics , genetics , gene expression , gene , messenger rna

Current proteomic studies are generally focused on the most abundant proteoforms encoded by canonical nucleic sequences. Transcriptomic and proteomic data, accumulated in a variety of postgenome sources and coupled with state-of-art analytical technologies, allow to start the identification of aberrant (non-canonical) proteoforms. The main sources of aberrant proteoforms are alternative splicing, single nucleotide polymorphism, and post-translational modifications. The aim of this work was to estimate the heterogeneity of HepG2 proteome. We suggested multiomics approach, which combines transcriptomic (RNAseq) and proteomic (2DE-MS/MS) methods, as a promising strategy to explore the proteome.

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