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  1. Mechanical behavior of cells within a cell-based model of wheat leaf growth

    Zubairova, U., Nikolaev, S., Penenko, A., Podkolodnyy, N., Golushko, S., Afonnikov, D. & Kolchanov, N., 15 Dec 2016, In: Frontiers in Plant Science. 7, DECEMBER2016, 15 p., 1878.

    Research output: Contribution to journal › Article › peer-review

  2. Mechanisms of Adaptation of the Hypothalamic-Pituitary-Adrenal Axis in Male Mice in Chronic Social Defeat Stress

    Sapronova, A. A., Ryabushkina, Y. A., Kisaretova, P. E. & Bondar, N. P., Oct 2024, In: Neuroscience and Behavioral Physiology. 54, 8, p. 1289-1297 9 p.

    Research output: Contribution to journal › Article › peer-review

  3. Mechanisms regulating ethylene signal transduction in plants

    Zemlyanskaya, E. V., Omelyanchuk, N. A., Ermakov, A. A. & Mironova, V. V., 1 May 2017, In: Russian Journal of Genetics: Applied Research. 7, 3, p. 335-344 10 p.

    Research output: Contribution to journal › Article › peer-review

  4. Meet your MAKR: the membrane-associated kinase regulator protein family in the regulation of plant development

    Novikova, D. D., Korosteleva, A. L., Mironova, V. & Jaillais, Y., Oct 2022, In: FEBS Journal. 289, 20, p. 6172-6186 15 p.

    Research output: Contribution to journal › Review article › peer-review

  5. Mendelian randomization analysis of plasma levels of CD209 and MICB proteins and the risk of varicose veins of lower extremities

    Shadrina, A. S., Elgaeva, E. E., Stanaway, I. B., Jarvik, G. P., Namjou, B., Wei, W. Q., Glessner, J., Hakonarson, H., Suri, P. & Tsepilov, Y. A., May 2022, In: PLoS ONE. 17, 5, e0268725.

    Research output: Contribution to journal › Article › peer-review

  6. Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human aging

    Timmers, P. R. H. J., Tiys, E. S., Sakaue, S., Akiyama, M., Kiiskinen, T. T. J., Zhou, W., Hwang, S. J., Yao, C., Kamatani, Y., Zhou, W., Deelen, J., Levy, D., Ganna, A., Kamatani, Y., Okada, Y., Joshi, P. K., Wilson, J. F. & Tsepilov, Y. A., Jan 2022, In: Nature Aging. 2, 1, p. 19-30 12 p.

    Research output: Contribution to journal › Article › peer-review

  7. Meta-analysis of genome-wide association studies for N-glycosylation in 10,000 individuals

    Шарапов, С. Ж., Цепилов, Я. А., Елгаева, Е. Е., Тийс, Е. С., Ностаева, А. В., Vuckovic, F., Trbojević-Akmačić, I., Georges, M., Suhre, K., Chaturvedi, N., Campbell, H., Dunlop, M. G., Williams, F. M. K., Schulze, M. B., Spector, T. D., Lauc, G. & Аульченко, Ю. С., 2022, p. 589. 1 p.

    Research output: Contribution to conference › Abstract › peer-review

  8. Meta-analysis of transcriptome data detected new potential players in response to dioxin exposure in humans

    Oshchepkova, E., Sizentsova, Y., Wiebe, D., Mironova, V. & Kolchanov, N., 23 Oct 2020, In: International Journal of Molecular Sciences. 21, 21, p. 1-20 20 p., 7858.

    Research output: Contribution to journal › Article › peer-review

  9. Metabolic pathways and genes identified by RNA-seq analysis of barley near-isogenic lines differing by allelic state of the Black lemma and pericarp (Blp) gene

    Glagoleva, A. Y., Shmakov, N. A., Shoeva, O. Y., Vasiliev, G. V., Shatskaya, N. V., Börner, A., Afonnikov, D. A. & Khlestkina, E. K., 14 Nov 2017, In: BMC Plant Biology. 17, Suppl 1, p. 182 9 p., 182.

    Research output: Contribution to journal › Article › peer-review

  10. metaRE R package for meta-analysis of transcriptome data to identify the cis-regulatory code behind the transcriptional reprogramming

    Novikova, D. D., Cherenkov, P. A., Sizentsova, Y. G. & Mironova, V. V., 1 Jun 2020, In: Genes. 11, 6, p. 1-14 14 p., 634.

    Research output: Contribution to journal › Article › peer-review

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