Избранные публикации

1. Gordeeva V, Sharova E, Arapidi G. Progress in Methods for Copy Number Variation Profiling. Int J Mol Sci. 2022 Feb 15;23(4):2143. https://doi.org/10.3390/ijms23042143

2. Skorodumova L.O., Belodedova A.V., Sharova E.I., Zakharova E.S., Iulmetova L.N., Bikbov M.M., Usubov E.L., Antonova O.P., Selezneva O.V., Levchenko A., Fedorenko O.Y., Ivanova S.A., Gainetdinov R.R., Malyugin B.E. Rare single nucleotide variants in COL5A1 promoter do not play a major role in keratoconus susceptibility associated with rs1536482. BMC ophthalmology // 2021;21(1):1-9. https://doi.org/10.1186/s12886-021-02128-6

3. Guilherme JPLF, Semenova EA, Borisov OV, Larin AK, Moreland E, Generozov EV, Ahmetov II. Genomic predictors of testosterone levels are associated with muscle fiber size and strength. Eur J Appl Physiol. 2022 Feb;122(2):415-423. doi: 10.1007/s00421-021-04851-w. Epub 2021 Nov 18. DOI: https://link.springer.com/article/10.1007/s00421-021-04851-w

4. Zhelankin AV, Stonogina DA, Vasiliev SV, Babalyan KA, Sharova EI, Doludin YV, Shchekochikhin DY, Generozov EV, Akselrod AS. Circulating Extracellular miRNA Analysis in Patients with Stable CAD and Acute Coronary Syndromes. Biomolecules. 2021 Jun 29;11(7):962. doi: 10.3390/biom11070962. https://doi.org/10.3390/biom11070962

5. Gordeeva V, Sharova E, Babalyan K, Sultanov R, Govorun VM, Arapidi G. Benchmarking germline CNV calling tools from exome sequencing data. Sci Rep. 2021 Jul 13;11(1):14416. https://doi.org/10.1038/s41598-021-93878-2

6. Skorodumova L., Kanygina A., Belodedova A., Sharova E., Malyugin B. Shift of T-cell repertoire in cornea of keratoconus patients // European Journal of Human Genetics. - 2020. - Vol. 28. - Suppl. 1. - P. 196-197. https://doi.org/10.1038/s41431-020-00739-z

7. Turner DC, Gorski PP, Maasar MF, Seaborne RA, Baumert P, Brown AD, Kitchen MO, Erskine RM, Dos-Remedios I, Voisin S, Eynon N, Sultanov RI, Borisov OV, Larin AK, Semenova EA, Popov DV, Generozov EV, Stewart CE, Drust B, Owens DJ, Ahmetov II, Sharples AP. DNA methylation across the genome in aged human skeletal muscle tissue and muscle-derived cells: the role of HOX genes and physical activity. Sci Rep. 2020 Sep 21;10(1):15360. https://doi.org/10.1038/s41598-020-72730-z

8. Zhelankin AV, Vasiliev SV, Stonogina DA, Babalyan KA, Sharova EI, Doludin YV, Shchekochikhin DY, Generozov EV, Akselrod AS. Elevated Plasma Levels of Circulating Extracellular miR-320a-3p in Patients with Paroxysmal Atrial Fibrillation. Int J Mol Sci. 2020 May 15;21(10):3485. https://doi.org/10.3390/ijms21103485

9. Kusić D, Connolly J, Kainulainen H, Semenova EA, Borisov OV, Larin AK, Popov DV, Generozov EV, Ahmetov II, Britton SL, Koch LG, Burniston JG. Striated muscle-specific serine/threonine-protein kinase beta segregates with high versus low responsiveness to endurance exercise training. Physiol Genomics. 2020 Jan 1;52(1):35-46. https://doi.org/10.1152/physiolgenomics.00103.2019

10. Moreland E, Borisov OV, Semenova EA, Larin AK, Andryushchenko ON, Andryushchenko LB, Generozov EV, Williams AG, Ahmetov II. Polygenic Profile of Elite Strength Athletes. J Strength Cond Res. 2020 Dec 3. https://doi.org/10.1519/jsc.0000000000003901

11. Kotova ES, Savochkina YA, Doludin YV, Vasilyev AO, Prilepskay EA, Potoldykova NV, Babalyan KA, Kanygina AV, Morozov AO, Govorov AV, Enikeev DV, Kostryukova ES, Ilina EN, Govorun VM, Pushkar DY, Sharova EI. Identification of Clinically Significant Prostate Cancer by Combined PCA3 and AMACR mRNA Detection in Urine Samples. Res Rep Urol. 2020 Sep 17;12:403-413. doi: 10.2147/RRU.S262310. eCollection 2020. https://doi.org/10.2147/rru.s262310

12. Seaborne RA, Hughes DC, Turner DC, Owens DJ, Baehr LM, Gorski P, Semenova EA, Borisov OV, Larin AK, Popov DV, Generozov EV, Sutherland H, Ahmetov II, Jarvis JC, Bodine SC, Sharples AP. UBR5 is a novel E3 ubiquitin ligase involved in skeletal muscle hypertrophy and recovery from atrophy. J Physiol. 2019 Jul;597(14):3727-3749. doi: 10.1113/JP278073. Epub 2019 Jun 11. https://doi.org/10.1113/jp278073

13. Nikitina A.S., Belodedova A.V., Malyugin B.E., Sharova E.I., Kostryukova E.S., Larin A.K., Veselovsky V.A., Antonova O.P., Skorodumova L.O. Dataset on transcriptome profiling of corneal endothelium from patients with Fuchs endothelial corneal dystrophy // Data in brief. - 2019. - Vol. 25. – P. 104047. https://doi.org/10.1016/j.dib.2019.104047

14. Skorodumova L.O., Belodedova A.V., Sharova E.I., Malyugin B.E. Search for genetic markers for precise diagnostics of keratoconus // Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry. – 2019. – Vol. 13. – №. 3. – P. 214-227. https://doi.org/10.1134/S1990750819030090

15. Skorodumova L.O., Belodedova A.V., Antonova O.P., Sharova E.I., Akopian T.A., Selezneva O.V., Kostryukova E.S., Malyugin B.E. CTG18.1 Expansion is the Best Classifier of Late-Onset Fuchs' Corneal Dystrophy Among 10 Biomarkers in a Cohort From the European Part of Russia // Invest Ophthalmol Vis Sci. – 2018. – Т. 59. – №11. – С. 4748–4754. https://doi.org/10.1167/iovs.18-24590

16. Kanygina AV, Sharova EI, Sultanov RI, Schelygin YA, Doludin YV, Kostryukova ES, Generozov EV. Targeted gene sequencing panels: applicability for neoantigen profiling of colon and rectal adenocarcinoma. Biomed Khim. 2018 Nov;64(6):517-524. https://doi.org/10.18097/pbmc20186406517

17. Babalyan K, Sultanov R, Generozov E, Sharova E, Kostryukova E, Larin A, Kanygina A, Govorun V, Arapidi G. LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer. PLoS One. 2018 Nov 2;13(11):e0204371. https://doi.org/10.1371/journal.pone.0204371