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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Keywords: proteome, transcriptome, transcriptoproteome, proteoform, alternative splicing, single amino acid polymorphism, post-translational modification
Citation:
Poverennaya E.V., Kiseleva O.I., Ponomarenko E.A., Naryzhny S.N., Zgoda V.G., Lisitsa A.V. (2017) Multiomics study of HepG2 cell line proteome. Biomeditsinskaya Khimiya, 63(5), 373-378.
Poverennaya E.V. et al. Multiomics study of HepG2 cell line proteome // Biomeditsinskaya Khimiya. - 2017. - V. 63. -N 5. - P. 373-378.
Poverennaya E.V. et al., "Multiomics study of HepG2 cell line proteome." Biomeditsinskaya Khimiya 63.5 (2017): 373-378.
Poverennaya, E. V., Kiseleva, O. I., Ponomarenko, E. A., Naryzhny, S. N., Zgoda, V. G., Lisitsa, A. V. (2017). Multiomics study of HepG2 cell line proteome. Biomeditsinskaya Khimiya, 63(5), 373-378.
References
Gregory S.G., Barlow K.F., McLay K.E., Kaul R., Swarbreck D., Dunham A., Scott C.E., Howe K.L., Woodfine K., Spencer C.C et al. (2006) Nature, 441, 315-321. CrossRef Scholar google search
Archakov A., Aseev A., Bykov V., Grigoriev A., Govorun V., Ivanov V., Khlunov A., Lisitsa A., Mazurenko S., Makarov A., Ponomarenko E., Sagdeev R., Skryabin K. (2011) Proteomics, 11, 1853-1856. CrossRef Scholar google search