Larionova I., Kiselev A., Kazakova E., Liu T., Patysheva M., Iamshchikov P., Liu Q., Mossel D.M., Riabov V., Rakina M., Sergushichev A., Bezgodova N., Vtorushin S., Litviakov N., Denisov E., Koshkin P., Pyankov D., Tsyganov M., Ibragimova M., Cherdyntseva N., Kzhyshkowska J. Tumor-associated macrophages respond to chemotherapy by detrimental transcriptional reprogramming and suppressing stabilin-1 mediated clearance of EGF. Frontiers in Immunology. 2023. Vol. 14. pp. 1000497.
Pinakhina D., Yermakovich D., Vergasova E., Kasyanov E., Rukavishnikov G., Rezapova V., Kolosov N., Sergushichev A., Popov I., Kovalenko E., Ilinskaya A., Kim A., Plotnikov N., Ilinsky V., Neznanov N., Mazo G., Kibitov A., Rakitko A., Artomov M. GWAS of depression in 4,520 individuals from the Russian population highlights the role of MAGI2 (S-SCAM) in the gut-brain axis. Frontiers in Genetics. 2023. Vol. 13. pp. 972196.
Pinakhina D., Loboda A., Sergushichev A., Artomov M. Gene, cell type, and drug prioritization analysis suggest genetic basis for the utility of diuretics in treating Alzheimer disease. Human Genetics and Genomics Advances. 2023. Vol. 4. No. 3. pp. 100203.
Mogilenko D.A., Sergushichev A., Artyomov M. Systems Immunology Approaches to Metabolism. Annual Review of Immunology. 2023. Vol. 41. pp. 317-342.
Gainullina A., Mogilenko D.A., Huang L.H., Todorov H., Narang V., Kim K., Yng L., Kent A., Jia B., Seddu K., Krchma K., Wu J., Crozat K., Tomasello E., Dress R., See P., Scott C., Gibbings S., Bajpai G., Desai J., Maier B., This S., Wang P., Aguilar S., Poupel L., Dussaud S., Zhou T., Angeli V., Blander J., Choi K., Dalod M., Dzhagalov I., Gautier E., Jakubzick C., Lavine K., Lionakis M., Paidassi H., Sieweke M.H., Ginhoux F., Guilliams M., Benoist C., Merad M., Randolph G.J., Sergushichev A., Artyomov M.N. Network analysis of large-scale ImmGen and Tabula Muris datasets highlights metabolic diversity of tissue mononuclear phagocytes. Cell Reports. 2023. Vol. 42. No. 2. pp. 112046.
Dufour C., Xia H., B’Chir W., Perry M., Kuzmanov U., Gainullina A., Dejgaard K., Scholtes C., Ouellet C., Zuo D., Sanguin-Gendreau V., Guluzian C., Smith H., Muller W., Audet-Walsh E., Sergushichev A.A., Emili A., Giguere V. Integrated multi-omics analysis of adverse cardiac remodeling and metabolic inflexibility upon ErbB2 and ERRAlpha deficiency. Communications Biology. 2022. Vol. 5. No. 1. pp. 955.
Kolosov N., Rezapova V., Rotar O., Loboda A., Freylikhman O., Melnik O., Sergushichev A., Stevens C., Voortman T., Kostareva A., Konradi A., Daly M., Artomov M. Genotype imputation and polygenic score estimation in northwestern Russian population. PLoS ONE. 2022. Vol. 17. No. 6. pp. e0269434.
Kleverov M., Zenkova D., Kamenev V., Sablina M., Artyomov M.N., Sergushichev A.A. Phantasus: web-application for visual and interactive gene expression analysis. BioRxiv [база препринтов]. 2022. pp. 1-15.
Emelianova M., Gainullina A., Poperechnyi N., Loboda A.A., Artyomov M., Sergushichev A. Shiny GATOM: omics-based identification of regulated metabolic modules in atom transition networks. Nucleic Acids Research. 2022. Vol. 50. No. 1. pp. W690-W696.
Rotar O., Boyarinova M.A., Moguchaya E.V., Tolkunova K., Kolosov N., Rezapova V., Freylikhman O., Usoltsev D., Melnik O., Sergushichev A.A., Solntsev V., Kostareva A.A., Dubinina E., Voortman T., Stevens C., Daly M., Konradi A.O., Schlyakhto E., Artomov M. Case Report: Supernormal Vascular Aging in Leningrad Siege Survivors. Frontiers in Cardiovascular Medicine. 2022. Vol. 9. pp. 843439.
Gene Set Co-regulation Analysis
Santeford A., Lee A.Y., Sene A., Hassman L., Sergushichev A.A., Loginicheva E., Artyomov M.N., Ruzycki P.A., Apte R.S. Loss of Mir146b with aging contributes to inflammation and mitochondrial dysfunction in thioglycollate-elicited peritoneal macrophages. eLife. 2021. Vol. 10. pp. e66703.
Gainullina A., Shalyto A.A., Sergushichev A.A. Method for Joint Clustering in Graph and Correlation Spaces. Automatic Control and Computer Sciences. 2021. Vol. 55. No. 7. pp. 647-657.
Merlin J., Ivanov S., Dumont A., Sergushichev A.A., Gall J., Stunault M.I., Ayrault M., Vaillant N., Castiglione A., Swain A., Orange F., Gallerand A., Berton T., Martin J., Carobbio S., Masson J., Gaisler-Salomon I., Maechler P., Rayport S., Sluimer J., Biessen E., Guinamard R.R., Gautier E., Thorp E.B., Artyomov M.N., Yvan-Charvet L. Non-canonical glutamine transamination sustains efferocytosis by coupling redox buffering to oxidative phosphorylation. Nature Metabolism. 2021. Vol. 3. No. 10. pp. 1313-1326.
Fast gene set enrichment analysis with multi-level Monte-Carlo approach
Aguilar S., Aguilar O., Allan R., Amir E., Angeli V., Artyomov M.N., Asinovski N., Astarita J., Austen K., Bajpai G., Barrett N., Baysoy A., Benoist C., Bellemare-Pelletier A., Berg B., Best A., Bezman N., Blair D., Blander J., Bogunovic M., Brennan P., Brenner M., Brown B., Buechler M., Buenrostro J., Casanova M., Choi K., Chow A., Chudnovskiy A., Cipoletta D., Cohen N., Collins J., Colonna M., Cook A., Costello J., Cremasco V., Crowl T., Crozat K., Cruse R., D’Angelo J., Dalod M., Davis S., Demiralp C., Deng T., Desai J., Desland F., Dhainaut M., Ding J., Doedens A., Dominguez C., Doran G., Dress R., Dustin M., Dwyer D., Dzhagalov I., Elpek K., Ergun A., Ericson J., Esomonu E., Fairfax K., Fletcher A., Frascoli M., Fuchs A., Gainullina A., Gal-Oz S., Gallagher M., Gautier E., Gazit R., Gibbings S., Giraud M., Ginhoux F., Goldrath A., Gotthardt D., Gray D., Greter M., Grieshaber-Bouyer R., Guilliams M., Haidermota S., Hardy R., Hashimoto D., Helft J., Hendricks D., Heng T., Hill J., Hyatt G., Idoyaga J., Jakubzick C., Jarjoura J., Jepson D., Jia B., Jianu R., Johanson T., Jordan S., Jojic V., Kamimura Y., Kana V., Kang J., Kapoor V., Kenigsberg E., Kent A., Kim C., Kim E., Kim F., Kim J., Kim K., Kiner E., Knell J., Koller D., Krchma K., Kozinn L., Kreslavsky T., Kronenberg M., Kwan W., Laidlaw D., Lam V., Lanier L., Laplace C., Lareau C., Lavin Y., Lavine K., Leader A., Leboeuf M., Lee J., Lee J., Li B., Li H., Li Y., Lionakis M., Luche H., Lynch L., Magen A., Maier B., Malhotra D., Malhotra N., Malissen M., Maslova A., Mathis D., Mcfarland A., Merad M., Meunier E., Miller J., Milner J., Mingueneau M., Min-Oo G., Monach P., Moodley D., Mortha A., Morvan M., Mostafavi S., Muller S., Muus C., Nabekura T., Nageswara Rao T., Narang V., Narayan K., Ner-Gaon H., Nguyen Q., Nigrovic P., Novakovsky G., Nutt S., Omilusik K., Ortiz-Lopez A., Paidassi H., Paik H., Painter M., Paynich M., Peng V., Potempa M., Pradhan R., Price J., Qi Y., Qi Y., Quon S., Ramirez R., Ramanan D., Randolph G., Regev A., Rhoads A., Robinette M., Rose S., Rossi D., Rothamel K., Sachidanandam R., Sathe P., Scott C., Seddu K., See P., Sergushichev A., Shaw L., Shay T., Shemesh A., Shinton S., Shyer J., Sieweke M., Smillie C., Spel L., Spidale N., Stifano G., Subramanian A., Sun J., Sylvia K., Tellier J., This S., Tomasello E., Todorov H., Turley S., Vijaykumar B., Wagers A., Wakamatsu E., Wang C., Wang P., Wroblewska A., Wu J., Yang E., Yang L., Yim A., Yng L., Yoshida H., Yu B., Zhou Y., Zhu Y., Ziemkiewicz C. ImmGen at 15. Nature Immunology. 2020. Vol. 21. No. 7. pp. 700-703.
Адаптивный многоуровневый подход Монте-Карло для задачи функционального анализа представленности генов // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. [2019, электронный ресурс]. - Режим доступа: https://kmu.itmo.ru/digests/article/710
Гайнуллина А.Н., Сухов В.Д., Шалыто А.А., Сергушичев А.А. Применение метода независимых компонент для определения начального приближения при поиске активных модулей в биологических графах [Independent component analysis for initial approximation determination in identification of active modules in biological graphs]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2020. Т. 20. № 6(130). С. 888-892.
Гайнуллина А.Н., Артемов М., Сергушичев А.А. Модификация метода совместной кластеризации в графовом и корреляционном пространствах [Method of joint clustering in network and correlation spaces]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2020. Т. 20. № 6(130). С. 807-814.
Zlotina A., Melnik O., Fomicheva Y., Skitchenko R.K., Sergushichev A., Shagimardanova E., Gusev O., Gazizova G., Loevets T., Vershinina T., Kozyrev I., Gordeev M., Vasichkina E., Pervunina T., Kostareva A.A. A 300-kb microduplication of 7q36.3 in a patient with triphalangeal thumb-polysyndactyly syndrome combined with congenital heart disease and optic disc coloboma: a case report. BMC Medical Genomics. 2020. Vol. 13. No. 1. pp. 175.
Vershinina T., Fomicheva Y., Muravyev A., Jorholt J., Kozyreva A., Kiselev A.M., Gordeev M., Vasichkina E., Sergushichev A., Pervunina T.М., Sjoberg G., Skyttner-Rahmani S., Sejersen T., Kostareva A.A. Genetic Spectrum of Left Ventricular Non-Compaction in Paediatric Patients. Cardiology. 2020. Vol. 145. No. 11. pp. 746-755.
Alexeev N., Isomurodov J., Sukhov V., Korotkevich G., Sergushichev A. Markov chain Monte Carlo for active module identification problem. BMC Bioinformatics. 2020. Vol. 21. No. 6. pp. 261.
FGSEA: fast gene set enrichment analysis
Perepelina K.I., Klauzen P., Khudiakov A., Zlotina A.M., Fomicheva Y., Rudenko D., Gordeev M., Sergushichev A.A., Malashicheva A.B., Kostareva A.A. Generation of two iPSC lines (FAMRCi006-A and FAMRCi006-B) from patient with dilated cardiomyopathy and Emery–Dreifuss muscular dystrophy associated with genetic variant LMNAp.Arg527Pro.. Stem Cell Research. 2020. Vol. 43. pp. 101714.
Gainullina A., Sergushichev A.A. Transcriptomic profiling of experimental arterial injury reveals new mechanisms and temporal dynamics in vascular healing response. JVS: Vascular Science. 2020. pp. 1-15.
Гайнуллина А.Н., Шалыто А.А., Сергушичев А.А. Метод совместной кластеризации в графовом и корреляционном пространствах. Моделирование и анализ информационных систем. 2020. Т. 27. № 2. С. 180-193.
Perepelina K.I., Kostina A.S., Klauzen P., Khudiakov A., Rabino M., Crasto S., Zlotina A.M., Fomicheva Y., Sergushichev A.A., Oganesian M., Dmitriev A., Kostareva A.A., Di Pasquale E., Malashicheva A.B. Generation of two iPSC lines (FAMRCi007-A and FAMRCi007-B) from patient with Emery–Dreifuss muscular dystrophy and heart rhythm abnormalities carrying genetic variant LMNA p.Arg249Gln. Stem Cell Research. 2020. Vol. 47. pp. 101895.
Bambouskova M., Gorvel L., Lampropoulou V., Sergushichev A., Loginicheva E., Jovanovic M., Klechevsky E., Stewart K.M., Randolph G.J., Artyomov M.N. Electrophilic properties of itaconate regulating macrophage activation. Journal of Immunology. 2020. Vol. 204. No. 1(Suppl.). pp. 152.17.
Ignatieva E.V., Ivanova O.A., Komarova M.Y., Khromova N.V., Polev D.E., Kostareva A.A., Sergushichev A.A., Dmitrieva R. Lmna mutations g232e and r482l cause dysregulation of skeletal muscle differentiation, bioenergetics, and metabolic gene expression profile. Genes. 2020. Vol. 11. No. 9. pp. 1057.
Иванова О.А., Игнатьева Е.В., Лелявина Т.А., Галенко В.Л., Комарова М.Ю., Борцова М.А., Ситникова М.Ю., Костарева А.А., Сергушичев А.А., Дмитриева Р.И. Анализ транскриптома скелетной мускулатуры выявил влияние физических тренировок на молекулярные механизмы регуляции роста и метаболизма мышечной ткани у пациентов с хронической сердечной недостаточнстью. Российский кардиологический журнал [Russian Journal of Cardiology]. 2020. Т. 25. № 10. С. 79-86.
Лобода А.А., Сергушичев А.А. Вывод генных регуляторных сетей по данным экспрессии генов при помощи байесовских сетей [Inferring of regulatory networks from expression data using bayesian networks]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2020. Т. 20. № 6(130). С. 835-840.
Kiselev A., Vaz R., Knyazeva A., Sergushichev A.A., Dmitrieva R., Khudiakov A., Jorholt J., Smolina N.A., Sukhareva K., Fomicheva Y., Mikhaylov E.N., Mitrofanova L.B., Predeus A.V., Sjoberg G., Rudenko D., Sejersen T., Lindstrand A., Kostareva A.A. Truncating variant in MYOF gene is associated with limb-girdle type muscular dystrophy and cardiomyopathy. Frontiers in Genetics. 2019. Vol. 10. pp. 608.
Zlotina A., Kiselev A., Sergushichev A., Parmon E., Kostareva A.A. Synemin expression profile during tissue-specific differentiation of mesenchymal stromal cells confirms its possible involvement in heart-hand syndrome. European Journal of Human Genetics. 2019. Vol. 27. No. Suppl.1. pp. 1008-1009.
Lelyavina T., Galenko V.L., Ivanova O.A., Komarova M.Y., Ignatieva E.V., Bortsova M.A., Yukina G.Y., Khromova N.V., Sitnikova M.Y., Kostareva A.A., Sergushichev A., Dmitrieva R.I. Clinical Response to Personalized Exercise Therapy in Heart Failure Patients with Reduced Ejection Fraction Is Accompanied by Skeletal Muscle Histological Alterations. International Journal of Molecular Sciences. 2019. Vol. 20. No. 21. pp. 5514.
Dmitrieva R.I., Lelyavina T.A., Komarova M.Y., Galenko V.L., Ivanova O.A., Tikanova P.A., Khromova N., Golovkin A.S., Bortsova M.A., Sergushichev A.A., Sitnikova M.Y., Kostareva A.A. Skeletal muscle resident progenitor cells coexpress mesenchymal and myogenic markers and are not affected by chronic heart failure-induced dysregulations. Stem Cells International. 2019. pp. 5690345.
Dmitrieva R.I., Ivanova O.A., Lelyavina T.A., Galenko V.L., Ignatieva E.V., Komarova M.Y., Khromova N.V., Sitnikova M.Y., Sergushichev A.A., Kostareva A.A. Anaerobic threshold-based exercise training programme stimulates genes that control skeletal muscle differentiation and function in heart failure patients. Journal of Cachexia, Sarcopenia and Muscle. 2019. Vol. 10. No. 6. pp. 1431.
Исследование дифференциальной экспрессии и сигнальных путей в скелетной мускулатуре пациентов с ХСН после физической реабилитации
Анализ транскриптома выявил влияние физических тренировок на молекулярные механизмы регуляции роста и метаболизма мышечной ткани у пациентов с ХСН
Сборник материалов конференции СПИСОК-2019
Адаптивный многоуровневый подход Монте-Карло для задачи функционального анализа представленности генов // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. - 2019 [Электронный ресурс]. - Режим доступа: https://kmu.itmo.ru/digests/article/710, своб.
Internship guidance and methodological advice for foreign students of ITMO University: Student handbook.
Pelgrom L.R., Patente T.A., Sergushichev A.A., Esaulova E., Otto F., Ozir-Fazalalikhan A., Van Der Zande H.J., Van Der Ham A.J., Van Der Stel S., Artyomov M.N., Everts B. LKB1 expressed in dendritic cells governs the development and expansion of thymus-derived regulatory T cells. Cell Research. 2019. Vol. 29. No. 5. pp. 406-419.
Трезубов К.А., Сергушичев А.А. Разработка алгоритма для поиска соответствия атомов в биохимических реакциях. Сборник тезисов докладов конгресса молодых ученых (VIII Всероссийский конгресс молодых ученых, 15-19апреля 2019г.). Электронное издание. 2019. С. -.
Ivanova O.A., Ignatieva E.V., Lelyavina T.A., Galenko V.L., Kiselev A.M., Sitnikova M.Y., Kostareva A.A., Dmitrieva R.I., Sergushichev A. Transcriptome sequencing revealed the upregulation of pathways that control regeneration and calcium handling in skeletal muscles of heart failure patients undergoing exercise rehabilitation program. European Journal of Heart Failure. 2019. Vol. 21. No. S1. pp. 578-579.
Korotkevich G., Sukhov V.D., Sergushichev A. Fast gene set enrichment analysis. bioRxiv. 2019. pp. 1-29.
Rare-event probability estimation in the functional gene set enrichment analysis
Sukhov V.D., Korotkevich G.V., Sergushichev A.A. Rare-event probability estimation in the functional gene set enrichment analysis. не указано. 2019. Vol. не указан. No. не указан. pp. не указаны.
Иванова О.А., Игнатьева Е., Лелявина Т.А., Галенко В.Л., Комарова М.Ю., Ситникова М.Ю., Костарева А.А., Сергушичев А.А., Дмитриева Р.И. Исследование дифференциальной экспрессии и сигнальных путей в скелетной мускулатуре пациентов с ХСН после физической реабилитации. Гены и клетки [Genes and Cells]. 2019. Т. 14. № Приложение. С. 101.
Algorithm for gene regulatory network inference recovers biological insights from large-scale gene expression data (Abstract/Program #1426). Presented at the 69th Annual Meeting of The American Society of Human Genetics, October 18, Houston.
Howard N.C., Marin N.D., Ahmed M., Rosa B.A., Martin J., Bambouskova M., Sergushichev A.A., Loginicheva E., Kurepina N., Rangel-Moreno J., Chen L., Kreiswirth B.N., Klein R.S., Balada-Llasat J., Torrelles J.B., Amarasinghe G.K., Mitreva M., Artyomov M.N., Hsu F.F., Mathema B., Khader S.A. Erratum to: Mycobacterium tuberculosis carrying a rifampicin drug resistance mutation reprograms macrophage metabolism through cell wall lipid changes (Nature Microbiology, (2018), 3, 10, (1099-1108), 10.1038/s41564-018-0245-0). Nature Microbiology. 2018. Vol. 3. No. 11. pp. 1327.
Kiselev A., Kornishina T., Sergushichev A., Smolina N., Klyushina A., Pervunina T., Bang M.L., Sjoberg G., Sejersen T., Kostareva A. New variant in CMYA5 gene is associated with early-onset restrictive cardiomyopathy and autism-spectrum disorder. Cardiovascular Research. 2018. Vol. 114. No. suppl.1. pp. S19.
Kiselev A., Vaz R., Knyazeva A., Khudiakov A., Tarnovskaya S., Liu J., Sergushichev A.A., Kazakov S.V., Frishman D., Smolina N.A., Pervunina T., Jorholt J., Sjoberg G., Vershinina T., Rudenko D., Arner A., Sejersen T., Lindstrand A., Kostareva A.A. De novo mutations in FLNC leading to early-onset restrictive cardiomyopathy and congenital myopathy. Human Mutation. 2018. Vol. 39. No. 9. pp. 1161-1172.
Howard N.C., Marin N.D., Ahmed M., Rosa B.A., Martin J., Bambouskova M., Sergushichev A., Loginicheva E., Kurepina N., Rangel-Moreno J., Chen L., Kreiswirth B.N., Klein R.S., Balada-Llasat J., Torrelles J.B., Amarasinghe G.K., Mitreva M., Artyomov M.N., Hsu F.F., Mathema B., Khader S.A. Mycobacterium tuberculosis carrying a rifampicin drug resistance mutation reprograms macrophage metabolism through cell wall lipid changes. Nature Microbiology. 2018. Vol. 3. No. 10. pp. 1099-1108.
Определение структуры генной регуляторной сети по профилям экспрессии генов
Kostina A., Kiselev A., Bjorck H., Irtyuga O., Sergushichev A.A., Baranov Y., Eriksson P., Kostareva A., Malashicheva A. Notch signaling pathway is attenuated in aortic endothelial cells of patients with aortic pathologies associated with bicuspid aortic valve. Cardiovascular Research. 2018. Vol. 114. No. suppl.1. pp. S83.
Alexeev N., Isomurodov J.E., Korotkevich G., Sergushichev A. The Soft Vertex Classification for Active Module Identification Problem. BioRxiv [база препринтов]. 2018. pp. 1-20.
Zlotina A., Kiselev A., Sergushichev A.A., Parmon E., Kostareva A.A. Rare case of ulnar-mammary-like syndrome with left ventricular tachycardia and lack of TBX3 mutation. Frontiers in Genetics. 2018. Vol. 9. pp. 209.
Freylikhman O., Kiselev A., Kazakov S., Sergushichev A., Panferova Y., Tokarevich N., Kostareva A. Draft genome sequence of Coxiella burnetii historical strain Leningrad-2, isolated from blood of a patient with acute Q fever in Saint Petersburg, Russia. Genome announcements. 2018. Vol. 6. No. 3. pp. e01464-17.
Bambouskova M., Gorvel L., Lampropoulou V., Sergushichev A.A., Loginicheva E., Johnson K., Korenfeld D., Mathyer M.E., Kim H., Huang L.H., Duncan D., Bregman H., Keskin A., Santeford A., Apte R.S., Sehgal R., Johnson B., Amarasinghe G.K., Soares M.P., Satoh T., Akira S., Hai T., Strong C.D., Auclair K., Roddy T.P., Biller S.A., Jovanovic M., Klechevsky E., Stewart K.M., Randolph G.J., Artyomov M.N. Electrophilic properties of itaconate and derivatives regulate the I kappa B zeta-ATF3 inflammatory axis. Nature. 2018. Vol. 556. No. 7702. pp. 501-504.
Khudiakov A., Kostina D., Zlotina A., Nikulina T., Sergushichev A.A., Gudkova A., Tomilin A., Malashicheva A.B., Kostareva A.A. Generation of iPSC line from desmin-related cardiomyopathy patient carrying splice site mutation of DES gene. Stem Cell Research. 2017. Vol. 24. pp. 77-80.
Ulland T.K., Song W., Huang S.C., Ulrich J.D., Sergushichev A.A., Beatty W.L., Loboda A.A., Zhou Y., Cairns N.J., Kambal A., Loginicheva E., Gilfillan S., Cella M., Virgin H.W., Unanue E.R., Wang Y., Artyomov M.N., Holtzman D.M., Colonna M. TREM2 Maintains Microglial Metabolic Fitness in Alzheimer's Disease. Cell. 2017. Vol. 170. No. 4. pp. 649-663.e13.
Khudiakov A., Kostina D., Zlotina A., Yany N., Sergushichev A.A., Pervunina T., Tomilin A., Kostareva A.A., Malashicheva A.B. Generation of iPSC line from patient with arrhythmogenic right ventricular cardiomyopathy carrying mutations in PKP2 gene. Stem Cell Research. 2017. Vol. 24. pp. 85-88.
Science in a Competitive Format
Isomurodov J.E., Loboda A.A., Sergushichev A.A. Ranking Vertices for Active Module Recovery Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017. Vol. 10252. pp. 75-84.
Artyomov M.N., Sergushichev A., Schilling J. Integrating immunometabolism and macrophage diversity. Seminars in Immunology. 2016. Vol. 28. No. 5. pp. 417-424.
Sergushichev A.A., Loboda A.A., Jha A.K., Vincent E.E., Driggers E.M., Jones R.G., Pearce E.J., Artyomov M.N. GAM: a web-service for integrated transcriptional and metabolic network analysis. Nucleic Acids Research. 2016. Vol. 44. No. 1. pp. W194-W200.
Lampropoulou V., Sergushichev A.A., Bambouskova M., Nair S., Vincent E.E., Loginicheva E., Cervantes-Barragan L., Ma X., Huang S., Griss T., Weinheimer C.J., Khader S.A., Randolph G.J., Pearce E.J., Jones R.G., Diwan A., Diamond M.S., Artyomov M.N. Itaconate Links Inhibition of Succinate Dehydrogenase with Macrophage Metabolic Remodeling and Regulation of Inflammation. Cell Metabolism. 2016. Vol. 24. No. 1. pp. 158–166.
Derr A.C., Yang C., Zilionis R., Sergushichev A.A., Blodgett D., Redick S., Bortell R., Luban J., Harlan В.M., Kadener S., Greiner D.L., Klein A., Artyomov M.N., Garber M. End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data. Genome Research. 2016. Vol. 26. No. 10. pp. 1397-1410.
Loboda A.A., Artyomov M.N., Sergushichev A.A. Solving generalized maximum-weight connected subgraph problem for network enrichment analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. Vol. 9838. pp. 210-221.
Lu Q., Yokoyama C.C., Williams J.W., Baldridge M.T., Jin X., Desrochers B., Bricker T., Wilen C.B., Bagaitkar J., Loginicheva E., Sergushichev A., Kreamalmeyer D., Keller B.C., Zhao Y., Kambal A., Green D.R., Martinez J., Dinauer M.C., Holtzman M.J., Crouch E.C., Beatty W., Boon A.C., Zhang H., Randolph G.J., Artyomov M.N., Virgin H.W. Homeostatic Control of Innate Lung Inflammation by Vici Syndrome Gene Epg5 and Additional Autophagy Genes Promotes Influenza Pathogenesis. Cell Host and Microbe. 2016. Vol. 19. No. 1. pp. 102-113.
Izreig S., Samborska B., Johnson R.M., Sergushichev A., Ma E.H., Lussier C., Loginicheva E., Donayo A.O., Poffenberger M.C., Sagan S.M., Vincent E.E., Artyomov M.N., Duchaine T.F., Jones R.G. The miR-17 similar to 92 microRNA Cluster Is a Global Regulator of Tumor Metabolism. Cell Reports. 2016. Vol. 16. No. 7. pp. 1915-1928.
Glotov A.S., Kazakov S., Zhukova E.A., Alexandrov A., Glotov O.S., Pakin V.S., Danilova M.M., Poliakova I.V., Niyazova S.S., Chakova N.N., Komissarova S.M., Kurnikova E.A., Sarana A.M., Sherbak S.G., Sergushichev A., Shalyto A., Baranov V.S. Targeted next-generation sequencing (NGS) of nine candidate genes with custom AmpliSeq in patients and a cardiomyopathy risk group. Clinica Chimica Acta. 2015. Vol. 446. pp. 132-140.
Vincent E.E., Sergushichev A.A., Griss T., Gingras M., Samborska B., Ntimbane T., Coelho P.P., Blagih J., Raissi T.C., Choiniere L., Bridon G., Loginicheva E., Flynn B.R., Thomas E.C., Tavare J.M., Avizonis D.Z., Pause A.P., Elder D.J., Artyomov M.N., Jones R.G. Mitochondrial Phosphoenolpyruvate Carboxykinase Regulates Metabolic Adaptation and Enables Glucose-Independent Tumor Growth. Molecular Cell. 2015. Vol. 60. No. 2. pp. 195-207.
Jha A.K., Huang S.C., Sergushichev A.A., Lampropoulou V., Ivanova Y., Loginicheva E., Chmielewski K., Stewart K.M., Ashall J., Everts B., Pearce E.J., Driggers E.M., Artyomov M.N. Network integration of parallel metabolic and transcriptional data reveals metabolic modules that regulate macrophage polarization. Immunity. 2015. Vol. 42. No. 3. pp. 419-430.
Сергушичев А.А., Царев Ф.Н. Сборка генома и технология MapReduce. Суперкомпьютеры. 2013. № 4 (12). С. 40-43.
Сергушичев А.А., Александров А.В., Казаков С.В., Царев Ф.Н., Шалыто А.А. Совместное применение графа де Брейна, графа перекрытий и микросборки для de novo сборки генома [Combining De Bruijn Graphs, Overlap Graphs and Microassembly for De Novo Genome Assembly]. Известия Саратовского университета. Новая серия. Серия: Математика. Механика. Информатика [ Izvestiya of Saratov University. New Series. Series: Mathematics. Mechanics. Informatics]. 2013. Т. 13. № 2-2. С. 51–57.
Александров А.В., Казаков С.В., Сергушичев А.А., Царев Ф.Н., Шалыто А.А. Применение эволюционного программирования на основе обучающих примеров для генерации конечных автоматов, управляющих объектами со сложным поведением. Известия Российской академии наук. Теория и системы управления. 2013. № 3. С. 85-100.
Aleksandrov A.V., Tsarev F.N., Kazakov S.V., Sergushichev A.A., Shalyto A.A. The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior. Journal of Computer and Systems Sciences International. 2013. Vol. 52. No. 3. pp. 410-425.
Bradnam K.R., Fass J.N., Alexandrov A., Baranay P., Bechner M., Birol I., Boisvert S., Chapman J.A., Chapuis G., Chikhi R., Chitsaz H., Chou W., Corbeil J., Del Fabbro C., Docking T.R., Durbin R., Earl D., Emrich S., Fedotov P., Fonseca N.A., Ganapathy G., Gibbs R.A., Gnerre S., Godzaridis E., Goldstein S., Haimel M., Hall G., Haussler D., Hiatt J.B., Ho I.Y., Howard J., Hunt M., Jackman S.D., Jaffe D.B., Jarvis E.D., Jiang H., Kersey P.J., Kazakov S., Kitzman J.O., Knight J.R., Koren S., Lam T., Lavenier D., Laviolette F., Li Z., Li Y., Liu B., Liu Y., Luo R., Maccallum I., Macmanes M.D., Maillet N., Melnikov S., Naquin D., Ning Z., Otto T.D., Paten B., Paulo O., Phillippy A.M., Pina-Martins F., Place M., Przybylski D., Qin X., Qu C., Ribeiro F.J., Richards S., Rokhsar D.S., Ruby J.G., Scalabrin S., Schatz M.C., Schwartz D.C., Sergushichev A., Sharpe T., Shaw T.I., Shendure J., Shi Y., Simpson J.T., Song H., Tsarev F., Vezzi F., Vicedomini R., Vieira B.M., Wang J., Worley K.C., Yin S., Yiu S., Yuan J., Zhang G., Zhang H., Zhou S., Korf I.F. Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species. GigaScience. 2013. Vol. 2. No. 1. pp. 10.
Александров А.В., Казаков С.В., Мельников С.В., Сергушичев А.А., Царев Ф.Н. Метод сборки контигов геномных последовательностей на основе совместного применения графов Де Брюина и графов перекрытий. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2012. № 6(82). С. 93-98.
Александров А.В., Казаков С.В., Мельников С.В., Сергушичев А.А., Царев Ф.Н., Шалыто А.А. Метод исправления ошибок в наборе чтений нуклеотидной последовательности. Научно-технический вестник Санкт-Петербургского государственного университета информационных технологий, механики и оптики. 2011. № 5(75). С. 81-84.
Александров А.В., Казаков С.В., Сергушичев А.А., Царев Ф.Н., Шалыто А.А. Генерация конечных автоматов для управления моделью беспилотного самолета. Научно-технический вестник Санкт-Петербургского государственного университета информационных технологий, механики и оптики. 2011. № 2(72). С. 3-11.
Aleksandrov A.V., Sergushichev A.A., Kazakov S.V., Tsarev F.N. Genetic algorithm for induction of finite automata with continuous and discrete output actions. Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. 2011. pp. 775-778.
Genetic Algorithm for Induction of Finite Automata with Continuous and Discrete Actions
Российская Федерация, Санкт-Петербург