Laboratory of Proteoform Interactomics
CONTACTS |
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Yuriy A. Ikhalaynen
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Polina A. Kriukova
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Early in 2020, the group of proteoform interactomics which goes to make up the Lab of postgenomic data analysis was spun off into a separate entity. The main focus of the Lab is the functional description of proteoforms based on multiomics data. |
RESEARCH
- Experimental evaluation of the proteome and metabolome heterogeneity for different organs and tissues under different conditions of the organism
- Construction of interatomic maps based on the results of genomic and post-genomic experiments
- Obtaining protein complexes of proteoforms using genome editing with CRISPR-Cas systems
- Mass spectrometry analysis of protein-protein and protein-metabolite complexes
- Development of methods for low-copy proteins detection (including "missing" proteins) in biosamples
The task of protein function identification and validation requires multidimensional analysis of genomic and postgenomic data, comparison with other organisms, modeling of complex experiments and their implementation on living systems. Moreover, current knowledge about the function of proteins refers to the so-called master form of the protein (Poverennaya et al., 2016), or the characterization of a gene in the case of predicting function by homology (Jiang et al., 2016, Zhang et al., 2017). Information about the function itself is often fragmented (Poverennaya et al., 2020a) and even well-studied proteins, conservative in their functional role may have additional properties (Attar et al., 2020; Drakeford et al., 2022).
Up to 100 different proteoforms - protein forms formed as a result of single amino acid substitutions, alternative splicing, and other processes can be translated from one gene. Nevertheless, there is no talk about revealing the function of individual proteoforms yet (Poverennaya et al., 2020b).
Based on the construction of protein-protein and protein-metabolite maps, taking into account the expression and translation of specific proteoforms, their tagging, we hope to expand the available information about genes and their realization.
TEACHING
As part of cooperation with Tyumen State University (UTMN), the laboratory staff gives lectures and conducts seminars on molecular and systems biology, proteomics and peptidomics for master's students learning at the Mathematical Biology and Bioinformatics program. Students from UTMN, MSU and MIPT perform their practical and diploma works in the Lab.
Dolgalev G.V., Safonov T.A., Arzumanian V.A., Kiseleva O.I., Poverennaya E.V. (2023) Estimating Total Quantitative Protein Content in Escherichia coli, Saccharomyces cerevisiae, and HeLa Cells, International Journal of Molecular Sciences, 24(3), 2081. DOI:10.3390/ijms24032081
Kurbatov I., Kiseleva O., Arzumanian V., Dolgalev G., Poverennaya E. (2023) Some Lessons Learned on the Impact of the Storage Conditions, Syringe Wash Solvent, and the Way of GC-MS Injection on the Reproducibility of Metabolomic Studies, Metabolites, 13(1), 75. DOI:10.3390/metabo13010075
Poverennaya E.V., Pyatnitskiy M.A., Dolgalev G.V., Arzumanian V.A., Kiseleva O.I., Kurbatov I.Y., Kurbatov L.K., Vakhrushev I.V., Romashin D.D., Kim Y.S., Ponomarenko E.A. (2023) Exploiting Multi-Omics Profiling and Systems Biology to Investigate Functions of TOMM34, Biology, 12(2), 198. DOI:10.3390/biology12020198
Kurbatov I., Dolgalev G., Arzumanian V., Kiseleva O., Poverennaya E. (2023) The Knowns and Unknowns in Protein–Metabolite Interactions, International Journal of Molecular Sciences, 24(4), 4155. DOI:10.3390/ijms24044155
Dolgalev G., Poverennaya E. (2023) Quantitative Analysis of Isoform Switching in Cancer, International Journal of Molecular Sciences, 24(12), 10065. DOI:10.3390/ijms241210065
Kiseleva O.I., Kurbatov I.Y., Arzumanian V.A., Ilgisonis E.V., Vakhrushev I.V., Lupatov A.Y., Ponomarenko E.A., Poverennaya E.V. (2022) Exploring Dynamic Metabolome of the HepG2 Cell Line: Rise and Fall, Cells, 11(22), 3548. DOI:10.3390/cells11223548
Arzumanian V.A., Dolgalev G.V., Kurbatov I.Y., Kiseleva O.I., Poverennaya E.V. (2022) Epitranscriptome: Review of Top 25 Most-Studied RNA Modifications, International Journal of Molecular Sciences, 23(22), 13851. DOI:10.3390/ijms232213851
Dolgalev G., Poverennaya E. (2021) Applications of CRISPR-Cas Technologies to Proteomics, Genes, 12(11), 1790. DOI:10.3390/genes12111790
Arzumanian V.A., Kiseleva O.I., Poverennaya E.V. (2021) The Curious Case of the HepG2 Cell Line: 40 Years of Expertise, International Journal of Molecular Sciences, 22(23), 13135. DOI:10.3390/ijms222313135
Poverennaya E., Kiseleva O., Romanova A., Pyatnitskiy M. (2020) Predicting Functions of Uncharacterized Human Proteins: From Canonical to Proteoforms, Genes, 1(6), 677. DOI:10.3390/genes11060677