Mitina A., Mazin P., Vanyushkina A., Anikanov N, … Khaitovich P., Lipidomeanalysis of milk composition in humans, monkeys, bovids, and pigsBMC Evolutionary Biology,2020 Dec. , DOI: 10.1186/s12862-020-01637-0

Sindeeva O, Kopach O, Kurochkin M, Sapelkin A, Gould D, Rusakov DA, Sukhorukov GB. Polylactic acid-based patterned matrixes for site-specific delivery of neuropeptides on-demand: functional NGF effects on human neuronal cells Front. Bioeng. Biotechnol. 2020, doi: 10.3389/fbioe.2020.00497

Mayorova OA, Sindeeva OA, Lomova MV, Gusliakova OI, Tarakanchikova YV, Tyutyaev EV, Pinyaev SI, Kulikov OA, German SV, Pyataev NA, Gorin DA, Sukhorukov GB Endovascular addressing improves the effectiveness of magnetic targeting of drug carrier. Comparison with the conventional administration method. Nanomedicine : Nanotechnology, Biology, and Medicine, 2020, 28:102184

Chugunova A, Loseva E, Mazin P, Mitina A, Navalayeu T, Bilan D, Vishnyakova P, Marey M, Golovina A, Serebryakova M, Pletnev P, Rubtsova M, Mair W, Vanyushkina A, Khaitovich P, Belousov V, Vysokikh M, Sergiev P, Dontsova O. LINC00116 codes for a mitochondrial peptide linking respiration and lipid metabolism. Proc Natl Acad Sci U S A. 2019 Mar 12;116(11):4940-4945.

Tyurina YY, Tyurin VA, Anthonymuthu T, Amoscato AA, Sparvero LJ, Nesterova AM, Baynard ML, Sun W, He R, Khaitovich P, Vladimirov YA, Gabrilovich DI, Bayır H, Kagan VE. "Redox lipidomics technology: Looking for a needle in a haystack". Chem Phys Lipids. 2019 Jul;221:93-107.

Bozek K, Khrameeva EE, Reznick J, Omerbašić D, Bennett NC, Lewin GR, Azpurua J, Gorbunova V, Seluanov A, Regnard P, Wanert F, Marchal J, Pifferi F, Aujard F, Liu Z, Shi P, Pääbo S, Schroeder F, Willmitzer L, Giavalisco P, Khaitovich P. Publisher Correction: Lipidomedeterminants of maximal lifespan in mammals. Sci Rep. 2019 May 1;9(1):6972..

Turan ZG, Parvizi P, Dönertaş HM, Tung J, Khaitovich P, Somel M. Molecular footprint of Medawar's mutation accumulation process in mammalian aging. Aging Cell. 2019 Aug;18(4):e12965.

Cardoso-Moreira M, Halbert J, Valloton D, Velten B, Chen C, Shao Y, Liechti A, Ascenção K, Rummel C, Ovchinnikova S, Mazin PV, Xenarios I, Harshman K, Mort M, Cooper DN, Sandi C, Soares MJ, Ferreira PG, Afonso S, Carneiro M, Turner JMA, VandeBerg JL, Fallahshahroudi A, Jensen P, Behr R, Lisgo S, Lindsay S, Khaitovich P, Huber W, Baker J, Anders S, Zhang YE, Kaessmann H. Gene expression across mammalian organ development. Nature. 2019 Jul;571(7766):505-509.

Kurochkin I, Khrameeva E, Tkachev A, Stepanova V, Vanyushkina A, Stekolshchikova E, Li Q, Zubkov D, Shichkova P, Halene T, Willmitzer L, Giavalisco P, Akbarian S, Khaitovich P. Metabolome signature of autism in the human prefrontal cortex. Commun Biol. 2019 Jun 21;2:234.

Tyshkovskiy A, Bozaykut P, Borodinova AA, Gerashchenko MV, Ables GP, Garratt M, Khaitovich P, Clish CB, Miller RA, Gladyshev VN. Identification and Application of Gene Expression Signatures Associated with Lifespan Extension. Cell Metab. 2019 Sep 3;30(3):573-593.e8.

Kostyukevich Y, Vladimirov G, Stekolschikova E, Ivanov D, Yablokov A, Zherebker A, Sosnin S, Orlov A, Fedorov M, Khaitovich P, Nikolaev E. Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging Lipidomics. Anal Chem. 2019 Nov 5;91(21):13465-13474.

Kanton S, Boyle MJ, He Z, Santel M, Weigert A, Sanchís-Calleja F, Guijarro P, Sidow L, Fleck JS, Han D, Qian Z, Heide M, Huttner WB, Khaitovich P, Pääbo S,Treutlein B, Camp JG. Organoid single-cell genomic atlas uncovers human-specific features of brain development. Nature. 2019 Oct;574(7778):418-422.

Tkachev A, Stepanova V, Zhang L, Khrameeva E, Zubkov D, Giavalisco P, Khaitovich P. Differences in lipidome and metabolome organization of prefrontalcortex among human populations. Sci Rep. 2019 Dec 4;9(1):18348.

Khan, AN, Ermakov, A, Sukhorukov, G, Hao, Y. Radio frequency controlled wireless drug delivery devices, Applied Physics Reviews 6 (4), 041301, 2019.

Incorporating task-specific structural knowledge into CNNs for brain midline shift detection
Pisov. M., Belyaev. M., et al. // Interpretability of Machine Intelligence in Medical Image Computing. - 2019. - pp. 30-38.

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation.
2019. ArXiv preprint.

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
Belyaev.M.,et al. // IEEE Transactions on Medical Imaging. - 2019. - 38(11),8669968. - pp. 2556-2568.

Mazin PV, Jiang X, Fu N, Han D, Guo M, Gelfand MS, Khaitovich P. Conservation, evolution, and regulation of splicing during prefrontal cortex development in humans, chimpanzees, and macaques. RNA. 2018 Apr;24(4):585-596.

Xiong J, Jiang X, Ditsiou A, Gao Y, Sun J, Lowenstein ED, Huang S, Khaitovich P. Predominant patterns of splicing evolution on human, chimpanzee and macaque evolutionary lineages. Hum Mol Genet. 2018 Apr 15;27(8):1474-1485.

Hu H, Liu JM, Hu Z, Jiang X, Yang X, Li J, Zhang Y, Yu H, Khaitovich P. Recently Evolved Tumor Suppressor Transcript TP73-AS1 Functions as Sponge of Human-Specific miR-941. Mol Biol Evol. 2018 May 1;35(5):1063-1077.

Khrameeva E, Kurochkin I, Bozek K, Giavalisco P, Khaitovich P. Lipidome Evolution in Mammalian Tissues. Mol Biol Evol. 2018 Aug 1;35(8):1947-1957.

Xu C, Li Q, Efimova O, He L, Tatsumoto S, Stepanova V, Oishi T, Udono T, Yamaguchi K, Shigenobu S, Kakita A, Nawa H, Khaitovich P, Go Y. Human-specific features of spatial gene expression and regulation in eight brain regions. Genome Res. 2018 Aug;28(8):1097-1110.

Yu Q, He Z, Zubkov D, Huang S, Kurochkin I, Yang X, Halene T, Willmitzer L, Giavalisco P, Akbarian S, Khaitovich P. Lipidome alterations in human prefrontal cortex during development, aging, and cognitive disorders. Mol Psychiatry. 2018 Aug 8..

Gai M,Kurochkin MA, Li D, Khlebtsov BN, Luo D, Tarakina N, Poston R, Gould DJ, Frueh J, Sukhorukov GB. In-situ NIR-laser mediated bioactive substance delivery to single cell for EGFP expression based on biocompatible microchamber-arrays. Journal of Controlled Release, 2018, 276, 84-92

Voronin, DV, Sindeeva, OA, Kurochkin, MA, Mayorova, O, Fedosov, IV, Semyachkina-Glushkovskaya, OV, Gorin, DA, Tuchin, VV and Sukhorukov, GB (2017): In Vitro and in Vivo Visualization and Trapping of Fluorescent Magnetic Microcapsules in a Bloodstream. ACS Appl. Mater. Interfaces, 2017, 9 (8), pp 6885–6893

Residual and plain convolutional neural networks for 3D brain MRI classification.
Belyaev, M., et. al // Proceedings - International Symposium on Biomedical Imaging. - 2017. - pp. 835-838

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Pisov. M., Belyaev. M., et al.// Front Neurol.2018. 13; 9:679..