{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:49:54Z","timestamp":1765547394886,"version":"3.38.0"},"reference-count":57,"publisher":"Institute of Cytology and Genetics, SB RAS","issue":"1","license":[{"start":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T00:00:00Z","timestamp":1741046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/vavilov.elpub.ru\/jour\/about\/editorialPolicies#openAccessPolicy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vestn. VOGiS"],"abstract":"<jats:p>\u00a0 \u00a0The fundamental understanding of many biological processes that unfold in a human body has become possible due to experimental studies on animal models. The backbone of modern biomedical research is the use of mouse models for studying important pathophysiological mechanisms, assessing new therapeutic approaches and making decisions on acceptance or rejection of new candidate medicines in preclinical trials. The use of mice is advantageous because they have small size, are easy to keep and to genetically modify. Mice make up more than 90 % of the rodents used for pharmaceutical research. We present the pilot version of MiceDEGdb, a knowledge base on the genes that are differentially expressed in the mouse used as a model object in biomedical researc h. MiceDEGdb is a collection of published data on gene expression in mouse strains used for studying age-related diseases, such as hypertension, pe rio dontal disease, bone fragility, renal fibrosis, smooth muscle remodeling, heart failure and circadian rhythm disorder. The pilot release of MiceDEGdb contains 21,754 DEGs representing 9,769 unique Mus musculus genes the transcription levels whereof were found as being changed in 25 RNA-seq experiments involving eight tissues \u2013 gum, bone, kidney, right ventricle, aortic arch, hippocampus, skeletal muscle and uterus \u2013 in six genetic mouse strains (C57BL\/6J, Ren1cCre|ZsGreen, B6.129S7(Cg)-Polgtm1Prol\/J, BPN\/3J, BPH\/2J and Kunming) used as models of eight human diseases \u2013 all these data were based on information in 10 original articles. MiceDEGdb is novel in that it features a curated annotation of changes in the expression levels of mouse DEGs using independent biomedical publications about same-direction changes in the expression levels of human homologs in patients with one disease or the other. In its pilot release, MiceDEGdb documented 85,092 such annotations for 318 human genes in 895 diseases, as suggest to 912 scientific articles referenced by their PubMed ID. The information contained in MiceDEGdb may be of interest to geneticists, molecular biologists, bioinformatics scientists, clinicians, pharmacologists and genetic advisors in personalized medicine. MiceDEGdb is freely available at\u00a0<jats:ext-link>https:\/\/www.sysbio.ru\/MiceDEGdb<\/jats:ext-link>.<\/jats:p>","DOI":"10.18699\/vjgb-25-18","type":"journal-article","created":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T07:55:24Z","timestamp":1741161324000},"page":"153-161","source":"Crossref","is-referenced-by-count":1,"title":["MiceDEGdb: a knowledge base on differentially expressed mouse genes as a model object in biomedical research"],"prefix":"10.18699","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3247-0114","authenticated-orcid":true,"given":"O. A.","family":"Podkolodnaya","sequence":"first","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2724-5441","authenticated-orcid":true,"given":"I. V.","family":"Chadaeva","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of ICG SB RAS"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. V.","family":"Filonov","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9132-7997","authenticated-orcid":true,"given":"N. L.","family":"Podkolodnyy","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences;  Institute of Computational Mathematics and Mathematical Geophysics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4795-0954","authenticated-orcid":true,"given":"D. A.","family":"Rasskazov","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N. N.","family":"Tverdokhleb","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3933-208X","authenticated-orcid":true,"given":"K. A.","family":"Zolotareva","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4359-6089","authenticated-orcid":true,"given":"A. G.","family":"Bogomolov","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8672-7216","authenticated-orcid":true,"given":"E. Yu.","family":"Kondratyuk","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Siberian Federal Scientific Centre of Agro-BioTechnologies of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6097-5155","authenticated-orcid":true,"given":"D. Yu.","family":"Oshchepkov","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of ICG SB RAS; Novosibirsk State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1663-318X","authenticated-orcid":true,"given":"M. P.","family":"Ponomarenko","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of ICG SB RAS"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7950","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Amaladoss A., Chen Q., Liu M., Dummler S.K., Dao M., Suresh S., Chen J., Preiser P.R. De novo generated human red blood cells in humanized mice support Plasmodium falciparum infection. PLoS One. 2015;10(6):e0129825. doi: 10.1371\/journal.pone.0129825","DOI":"10.1371\/journal.pone.0129825"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Bruter A.V., Varlamova E.A., Okulova Y.D., Tatarskiy V.V., Si\u00adlaeva Y.Y., Filatov M.A. Genetically modified mice as a tool for the study of human diseases. Mol Biol Rep. 2024;51(1):135. doi: 10.1007\/s11033\u00ad023\u00ad09066\u00ad0","DOI":"10.1007\/s11033-023-09066-0"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Chadaeva I.V., Filonov S.V., Zolotareva K.A., Khandaev B.M., Ershov N.I., Podkolodnyy N.L., Kozhemyakina R.V., Rasskazov D.A., Bogomolov A.G., Kondratyuk E.Yu., Klimova N.V., Shikhevich S.G., Ryazanova M.A., Fedoseeva L.A., Redina \u041e.\u0415., Kozhevnikova O.S., Stefanova N.A., Kolosova N.G., Markel A.L., Ponomarenko M.P., Oshchepkov D.Yu. RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov J Genet Breed. 2023;27(7):794\u00ad806. doi: 10.18699\/VJGB\u00ad23\u00ad92","DOI":"10.18699\/VJGB-23-92"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Chen G., Tang Q., Yu S., Xie Y., Sun J., Li S., Chen L. The biological function of BMAL1 in skeleton development and disorders. Life Sci. 2020;253:117636. doi: 10.1016\/j.lfs.2020.117636","DOI":"10.1016\/j.lfs.2020.117636"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Chen Z., Huang Z., Zhao X., Zhou Y., Zhang P., Li Y. Transcriptome analysis of differentially expressed genes involved in the inflam\u00admageing status of gingiva in aged mice. Oral Dis. 2023;29(4):1757-1769. doi: 10.1111\/odi.14222","DOI":"10.1111\/odi.14222"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"Chuang D.M., Chen R.W., Chalecka\u00adFranaszek E., Ren M., Hashimoto R., Senatorov V., Kanai H., Hough C., Hiroi T., Leeds P. Neuroprotective effects of lithium in cultured cells and animal models of diseases. Bipolar Disord. 2002;4(2):129\u00ad136. doi: 10.1034\/j.13995618.2002.01179.x","DOI":"10.1034\/j.1399-5618.2002.01179.x"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Chuprin J., Buettner H., Seedhom M.O., Greiner D.L., Keck J.G., Ishikawa F., Shultz L.D., Brehm M.A. Humanized mouse models for immuno\u00adoncology research. Nat Rev Clin Oncol. 2023;20(3): 192\u00ad206. doi: 10.1038\/s41571\u00ad022\u00ad00721\u00ad2","DOI":"10.1038\/s41571-022-00721-2"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Conti L., Reitano E., Cattaneo E. Neural stem cell systems: diversities and properties after transplantation in animal models of diseases. Brain Pathol. 2006;16(2):143\u00ad154. doi: 10.1111\/j.1750\u00ad3639.2006.00009.x","DOI":"10.1111\/j.1750-3639.2006.00009.x"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Ding H., Liu S., Yuan Y., Lin Q., Chan P., Cai Y. Decreased expression of Bmal2 in patients with Parkinson\u2019s disease. Neurosci Lett. 2011;499(3):186\u00ad188. doi: 10.1016\/j.neulet.2011.05.058","DOI":"10.1016\/j.neulet.2011.05.058"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Elshazley M., Sato M., Hase T., Yamashita R., Yoshida K., Toyokuni S., Ishiguro F., Osada H., Sekido Y., Yokoi K., Usami N., Shames D.S., Kondo M., Gazdar A.F., Minna J.D., Hasegawa Y. The circadian clock gene BMAL1 is a novel therapeutic target for malignant pleural mesothelioma. Int J Cancer. 2012;131(12):2820\u00ad2831. doi: 10.1002\/ijc.27598","DOI":"10.1002\/ijc.27598"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Fang K., Liu D., Pathak S.S., Yang B., Li J., Karthikeyan R., Chao O.Y., Yang Y.M., Jin V.X., Cao R. Disruption of circadian rhythms by ambient light during neurodevelopment leads to autistic\u00adlike molecular and behavioral alterations in adult mice. Cells. 2021;10(12):3314. doi: 10.3390\/cells10123314","DOI":"10.3390\/cells10123314"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Filonov S.V., Podkolodnyy N.L., Podkolodnaya O.A., Tverdokhleb N.N., Ponomarenko P.M., Rasskazov D.A., Bogomolov A.G., Ponomarenko M.P. Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome\u00adwide analysis and use cases. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov J Genet Breed. 2023;27(7):728\u00ad736. doi: 10.18699\/VJGB\u00ad23\u00ad85","DOI":"10.18699\/VJGB-23-85"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Frias\u00adStaheli N., Dorner M., Marukian S., Billerbeck E., Labitt R.N., Rice C.M., Ploss A. Utility of humanized BLT mice for analysis of dengue virus infection and antiviral drug testing. J Virol. 2014; 88(4):2205\u00ad2218. doi: 10.1128\/JVI.03085\u00ad13","DOI":"10.1128\/JVI.03085-13"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Giebfried J., Lorentz A. Relationship between the biological clock and inflammatory bowel disease. Clocks Sleep. 2023;5(2):260\u00ad275. doi: 10.3390\/clockssleep5020021","DOI":"10.3390\/clockssleep5020021"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Girard C.A., Wunderlich F.T., Shimomura K., Collins S., Kaizik S., Proks P., Abdulkader F., Clark A., Ball V., Zubcevic L., Bentley L., Clark R., Church C., Hugill A., Galvanovskis J., Cox R., Rorsman P., Bruning J.C., Ashcroft F.M. Expression of an activating mutation in the gene encoding the KATP channel subunit Kir6.2 in mouse pancreatic beta cells recapitulates neonatal diabetes. J Clin Invest. 2009;119(1):80\u00ad90. doi: 10.1172\/jci35772","DOI":"10.1172\/JCI35772"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Gorr M.W., Francois A., Marcho L.M., Saldana T., McGrail E., Sun N., Stratton M.S. Molecular signature of cardiac remodeling associated with Polymerase Gamma mutation. Life Sci. 2022;298:120469. doi: 10.1016\/j.lfs.2022.120469","DOI":"10.1016\/j.lfs.2022.120469"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Gryksa K., Schmidtner A.K., Masis\u00adCalvo M., Rodriguez\u00adVillagra O.A., Havasi A., Wirobski G., Maloumby R., Jagle H., Bosch O.J., Slattery D.A., Neumann I.D. Selective breeding of rats for high (HAB) and low (LAB) anxiety\u00adrelated behaviour: A unique model for comorbid depression and social dysfunctions. Neurosci Biobehav Rev. 2023;152:105292. doi: 10.1016\/j.neubiorev.2023.105292","DOI":"10.1016\/j.neubiorev.2023.105292"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Gunawan M., Her Z., Liu M., Tan S.Y., Chan X.Y., Tan W.W.S., Dhar\u00admaraaja S., Fan Y., Ong C.B., Loh E., Chang K.T.E., Tan T.C., Chan J.K.Y., Chen Q. A novel human systemic lupus erythematosus model in humanised mice. Sci Rep. 2017;7(1):16642. doi: 10.1038\/s41598\u00ad017\u00ad16999\u00ad7","DOI":"10.1038\/s41598-017-16999-7"},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"Hild B., Dreier M.S., Oh J.H., McCulloch J.A., Badger J.H., Guo J., Thefaine C.E., Umarova R., Hall K.D., Gavrilova O., Rosshart S.P., Trinchieri G., Rehermann B. Neonatal exposure to a wild\u00adderived microbiome protects mice against diet\u00adinduced obesity. Nat Metab. 2021;3(8):1042\u00ad1057. doi: 10.1038\/s42255\u00ad021\u00ad00439\u00ady","DOI":"10.1038\/s42255-021-00439-y"},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Jacenik D., Cygankiewicz A.I., Mokrowiecka A., Malecka-\u00adPanas E., Fichna J., Krajewska W.M. Sex\u00ad and age\u00adrelated estrogen signaling alteration in inflammatory bowel diseases: modulatory role of estrogen receptors. Int J Mol Sci. 2019;20(13):3175. doi: 10.3390\/ijms20133175","DOI":"10.3390\/ijms20133175"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Kaya S., Schurman C.A., Dole N.S., Evans D.S., Alliston T. Prioritization of genes relevant to bone fragility through the unbiased integration of aging mouse bone transcriptomics and human GWAS analy\u00adses. J Bone Miner Res. 2022;37(4):804\u00ad817. doi: 10.1002\/jbmr.4516","DOI":"10.1002\/jbmr.4516"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Keng C.T., Sze C.W., Zheng D., Zheng Z., Yong K.S., Tan S.Q., Ong J.J., Tan S.Y., Loh E., Upadya M.H., Kuick C.H., Hotta H., Lim S.G., Tan T.C., Chang K.T., Hong W., Chen J., Tan Y.J., Chen Q. Characterisation of liver pathogenesis, human immune responses and drug testing in a humanised mouse model of HCV infection. Gut. 2016; 65(10):1744\u00ad1753. doi: 10.1136\/gutjnl\u00ad2014\u00ad307856","DOI":"10.1136\/gutjnl-2014-307856"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"Kikyo N. Circadian regulation of bone remodeling. Int J Mol Sci. 2024;25(9):4717. doi: 10.3390\/ijms25094717","DOI":"10.3390\/ijms25094717"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Kim J.K., Forger D.B. A mechanism for robust circadian timekeeping via stoichiometric balance. Mol Syst Biol. 2012;8:630. doi: 10.1038\/msb.2012.62","DOI":"10.1038\/msb.2012.62"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"Kiss T., Nyul\u00adToth A., Gulej R., Tarantini S., Csipo T., Mukli P., Ungvari A., Balasubramanian P., Yabluchanskiy A., Benyo Z., Conley S.M., Wren J.D., Garman L., Huffman D.M., Csiszar A., Ungvari Z. Old blood from heterochronic parabionts accelerates vascular aging in young mice: transcriptomic signature of pathologic smooth muscle remodeling. GeroScience. 2022;44(2):953\u00ad981. doi: 10.1007\/s11357\u00ad022\u00ad00519\u00ad1","DOI":"10.1007\/s11357-022-00519-1"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"Krause C., Suwada K., Blomme E.A.G., Kowalkowski K., Liguori M.J., Mahalingaiah P.K., Mittelstadt S., Peterson R., Rendino L., Vo A., Van Vleet T.R. Preclinical species gene expression database: development and meta\u00adanalysis. Front Genet. 2023;13:1078050. doi: 10.3389\/fgene.2022.1078050","DOI":"10.3389\/fgene.2022.1078050"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"Li J., Gao F., Wei L., Chen L., Qu N., Zeng L., Luo Y., Huang X., Jiang H. Predict the role of lncRNA in kidney aging based on RNA sequencing. BMC Genomics. 2022;23(1):254. doi: 10.1186\/s12864022\u00ad08479\u00ad8","DOI":"10.1186\/s12864-022-08479-8"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Li L., Zhang M., Zhao C., Cheng Y., Liu C., Shi M. Circadian clock gene Clock\u00adBmal1 regulates cellular senescence in Chronic obstructive pulmonary disease. BMC Pulm Med. 2022;22(1):435. doi: 10.1186\/s12890\u00ad022\u00ad02237\u00ady","DOI":"10.1186\/s12890-022-02237-y"},{"key":"ref29","doi-asserted-by":"crossref","unstructured":"Li Z., Zhang Z., Ren Y., Wang Y., Fang J., Yue H., Ma S., Guan F. Aging and age\u00adrelated diseases: from mechanisms to therapeutic stra tegies. Biogerontology. 2021;22(2):165\u00ad187. doi: 10.1007\/s10522\u00ad021\u00ad09910\u00ad5","DOI":"10.1007\/s10522-021-09910-5"},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Liu B., Cui D., Liu J., Shi J.S. Transcriptome analysis of the aged SAMP8 mouse model of Alzheimer\u2019s disease reveals novel molecular targets of formononetin protection. Front Pharmacol. 2024;15: 1440515. doi: 10.3389\/fphar.2024.1440515","DOI":"10.3389\/fphar.2024.1440515"},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Liu L., van Schaik T.A., Chen K.S., Rossignoli F., Borges P., Vrbanac V., Wakimoto H., Shah K. Establishment and immune phenotyping of patient\u00adderived glioblastoma models in humanized mice. Front Immunol. 2024;14:1324618. doi: 10.3389\/fimmu.2023.1324618","DOI":"10.3389\/fimmu.2023.1324618"},{"key":"ref32","doi-asserted-by":"crossref","unstructured":"Lu Z. PubMed and beyond: a survey of web tools for searching biomedical literature. Database (Oxford). 2011;2011:baq036. doi: 10.1093\/database\/baq036","DOI":"10.1093\/database\/baq036"},{"key":"ref33","doi-asserted-by":"crossref","unstructured":"Lukacs N.W., Strieter R.M., Standiford T.J., Kunkel S.L. Characterization of chemokine function in animal models of diseases. Methods. 1996;10(1):158\u00ad165. doi: 10.1006\/meth.1996.0090","DOI":"10.1006\/meth.1996.0090"},{"key":"ref34","doi-asserted-by":"crossref","unstructured":"Monteiro C.J., Heery D.M., Whitchurch J.B. Modern approaches to mouse genome editing using the CRISPR\u00adCas toolbox and their applications in functional genomics and translational research. Adv Exp Med Biol. 2023;1429:13\u00ad40. doi: 10.1007\/978\u00ad3\u00ad03133325\u00ad5_2","DOI":"10.1007\/978-3-031-33325-5_2"},{"key":"ref35","doi-asserted-by":"crossref","unstructured":"Myers M.J., Shaik F., Shaik F., Alway S.E., Mohamed J.S. Skeletal muscle gene expression profile in response to caloric restriction and aging: a role for Sirt1. Genes (Basel). 2021;12(5):691. doi: 10.3390\/genes12050691","DOI":"10.3390\/genes12050691"},{"key":"ref36","doi-asserted-by":"crossref","unstructured":"Neba Ambe G.N.N., Breda C., Bhambra A.S., Arroo R.R.J. Effect of the citrus flavone nobiletin on circadian rhythms and metabolic syndrome. Molecules. 2022;27(22):7727. doi: 10.3390\/molecules27227727","DOI":"10.3390\/molecules27227727"},{"key":"ref37","doi-asserted-by":"crossref","unstructured":"Oishi K., Ohkura N., Amagai N., Ishida N. Involvement of circadian clock gene Clock in diabetes\u00adinduced circadian augmentation of plasminogen activator inhibitor\u00ad1 (PAI-1) expression in the mouse heart. FEBS Lett. 2005;579(17):3555\u00ad3559. doi: 10.1016\/j.febslet.2005.05.027","DOI":"10.1016\/j.febslet.2005.05.027"},{"key":"ref38","doi-asserted-by":"crossref","unstructured":"Petrova D.D., Dolgova E.V., Proskurina A.S., Ritter G.S., Ruzanova V.S., Efremov Y.R., Potter E.A., Kirikovich S.S., Levites E.V., Taranov O.S., Ostanin A.A., Chernykh E.R., Kolchanov N.A., Bogachev S.S. The new general biological property of stem\u00adlike tumor cells. Part II: surface molecules, which belongs to distinctive groups with particular functions, form a unique pattern charac\u00adteristic of a certain type of tumor stem\u00adlike cells. Int J Mol Sci. 2022;23(24):15800. doi: 10.3390\/ijms232415800","DOI":"10.3390\/ijms232415800"},{"key":"ref39","doi-asserted-by":"crossref","unstructured":"Podkolodnyy N.L., Tverdokhleb N.N., Podkolodnaya O.A. Computa\u00adtional model for mammalian circadian oscillator: interacting with NAD+\/SIRT1 pathway and age\u00adrelated changes in gene expres\u00adsion of circadian oscillator. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov J Genet Breed. 2016;20(6):848\u00ad856. doi: 10.18699\/VJ16.201","DOI":"10.18699\/VJ16.201"},{"key":"ref40","doi-asserted-by":"crossref","unstructured":"Puig O., Wang I.M., Cheng P., Zhou P., Roy S., Cully D., Peters M., Benita Y., Thompson J., Cai T.Q. Transcriptome profiling and net\u00adwork analysis of genetically hypertensive mice identifies potential pharmacological targets of hypertension. Physiol Genomics. 2010; 42A(1):24\u00ad32. doi: 10.1152\/physiolgenomics.00010.2010","DOI":"10.1152\/physiolgenomics.00010.2010"},{"key":"ref41","doi-asserted-by":"crossref","unstructured":"Roybal K., Theobold D., Graham A., DiNieri J.A., Russo S.J., Krishnan V., Chakravarty S., Peevey J., Oehrlein N., Birnbaum S., Vitaterna M.H., Orsulak P., Takahashi J.S., Nestler E.J., Carle\u00adzon W.A. Jr., McClung C.A. Mania\u00adlike behavior induced by disruption of CLOCK. Proc Natl Acad Sci USA. 2007;104(15):6406-6411. doi: 10.1073\/pnas.0609625104","DOI":"10.1073\/pnas.0609625104"},{"key":"ref42","doi-asserted-by":"crossref","unstructured":"Sarsani V.K., Raghupathy N., Fiddes I.T., Armstrong J., Thibaud-\u00adNissen F., Zinder O., Bolisetty M., Howe K., Hinerfeld D., Ruan X., Rowe L., Barter M., Ananda G., Paten B., Weinstock G.M., Churchill G.A., Wiles M.V., Schneider V.A., Srivastava A., Reinholdt L.G. The genome of C57BL\/6J \u201cEve\u201d, the mother of the laboratory mouse genome reference strain. G3 (Bethesda). 2019;9(6):1795\u00ad1805. doi: 10.1534\/g3.119.400071","DOI":"10.1534\/g3.119.400071"},{"key":"ref43","doi-asserted-by":"crossref","unstructured":"Segalat L. Invertebrate animal models of diseases as screening tools in drug discovery. ACS Chem Biol. 2007;2(4):231\u00ad236. doi: 10.1021\/cb700009m","DOI":"10.1021\/cb700009m"},{"key":"ref44","doi-asserted-by":"crossref","unstructured":"Siniscalchi C., Nouvenne A., Cerundolo N., Meschi T., Ticinesi A.; on behalf of the Parma Post\u00adGraduate Specialization School in Emergency\u00adUrgency Medicine Interest Group on Thoracic Ultrasound. Diaphragm ultrasound in different clinical scenarios : a review with a focus on older patients. Geriatrics (Basel). 2024;9(3):70. doi: 10.3390\/geriatrics9030070","DOI":"10.3390\/geriatrics9030070"},{"key":"ref45","doi-asserted-by":"crossref","unstructured":"Stelzer G., Rosen N., Plaschkes I., Zimmerman S., Twik M., Fishilevich S., Stein T.I., Nudel R., Lieder I., Mazor Y., Kaplan S., Dahary D., Warshawsky D., Guan\u00adGolan Y., Kohn A., Rappaport N., Safran M., Lancet D. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinformatics. 2016;54:1.30.1\u00ad1.30.33. doi: 10.1002\/cpbi.5","DOI":"10.1002\/cpbi.5"},{"key":"ref46","doi-asserted-by":"crossref","unstructured":"Sun S., Wang Y., Maslov A.Y., Dong X., Vijg J. SomaMutDB: a data-base of somatic mutations in normal human tissues. Nucleic Acids Res. 2022;50(D1):D1100\u00adD1108. doi: 10.1093\/nar\/gkab914","DOI":"10.1093\/nar\/gkab914"},{"key":"ref47","doi-asserted-by":"crossref","unstructured":"Swanson C.M., Kohrt W.M., Buxton O.M., Everson C.A., Wright K.P. Jr., Orwoll E.S., Shea S.A. The importance of the circadian system & sleep for bone health. Metabolism. 2018;84:28\u00ad43. doi: 10.1016\/j.metabol.2017.12.002","DOI":"10.1016\/j.metabol.2017.12.002"},{"key":"ref48","doi-asserted-by":"crossref","unstructured":"Swindell W.R., Johnston A., Sun L., Xing X., Fisher G.J., Bulyk M.L., Elder J.T., Gudjonsson J.E. Meta-profiles of gene expression during aging: limited similarities between mouse and human and an un\u00ad-expectedly decreased inflammatory signature. PLoS One. 2012; 7(3):e33204. doi: 10.1371\/journal.pone.0033204","DOI":"10.1371\/journal.pone.0033204"},{"key":"ref49","doi-asserted-by":"crossref","unstructured":"Vandamme T.F. Use of rodents as models of human diseases. J Pharm Bioallied Sci. 2014;6(1):2\u00ad9. doi: 10.4103\/0975\u00ad7406.124301","DOI":"10.4103\/0975-7406.124301"},{"key":"ref50","doi-asserted-by":"crossref","unstructured":"Viehmann Milam A.A., Maher S.E., Gibson J.A., Lebastchi J., Wen L., Ruddle N.H., Herold K.C., Bothwell A.L. A humanized mouse mo\u00addel of autoimmune insulitis. Diabetes. 2014;63(5):1712\u00ad1724. doi: 10.2337\/db13\u00ad1141","DOI":"10.2337\/db13-1141"},{"key":"ref51","doi-asserted-by":"crossref","unstructured":"Wang Y., Eng D.G., Pippin J.W., Gharib S.A., McClelland A., Gross K.W., Shankland S.J. Sex differences in transcriptomic profiles in aged kidney cells of renin lineage. Aging (Albany NY ). 2018;10(4):606\u00ad621. doi: 10.18632\/aging.101416","DOI":"10.18632\/aging.101416"},{"key":"ref52","doi-asserted-by":"crossref","unstructured":"White P.L., Wiederhold N.P., Loeffler J., Najvar L.K., Melchers W., Herrera M., Bretagne S., Wickes B., Kirkpatrick W.R., Barnes R.A., Donnelly J.P., Patterson T.F. Comparison of nonculture blood\u00adbased tests for diagnosing invasive aspergillosis in an animal model. J Clin Microbiol. 2016;54(4):960\u00ad966. doi: 10.1128\/jcm.03233\u00ad15","DOI":"10.1128\/JCM.03233-15"},{"key":"ref53","doi-asserted-by":"crossref","unstructured":"Yajima M., Imadome K., Nakagawa A., Watanabe S., Terashima K., Nakamura H., Ito M., Shimizu N., Honda M., Yamamoto N., Fuji\u00adwara S. A new humanized mouse model of Epstein\u2013Barr virus infection that reproduces persistent infection, lymphoproliferative disorder, and cell\u00admediated and humoral immune responses. J Infect Dis. 2008;198(5):673\u00ad682. doi: 10.1086\/590502","DOI":"10.1086\/590502"},{"key":"ref54","doi-asserted-by":"crossref","unstructured":"Yong K.S.M., Her Z., Chen Q. Humanized mice as unique tools for human-specific studies. Arch Immunol Ther Exp (Warsz). 2018;66(4): 245\u00ad266. doi: 10.1007\/s00005\u00ad018\u00ad0506\u00adx","DOI":"10.1007\/s00005-018-0506-x"},{"key":"ref55","doi-asserted-by":"crossref","unstructured":"Yuan G., Hua B., Yang Y., Xu L., Cai T., Sun N., Yan Z., Lu C., Qian R. The circadian gene Clock regulates bone formation via PDIA3. J Bone Miner Res. 2017;32(4):861\u00ad871. doi: 10.1002\/jbmr.3046","DOI":"10.1002\/jbmr.3046"},{"key":"ref56","doi-asserted-by":"crossref","unstructured":"Zayoud M., El Malki K., Frauenknecht K., Trinschek B., Kloos L., Karram K., Wanke F., Georgescu J., Hartwig U.F., Sommer C., Jonuleit H., Waisman A., Kurschus F.C. Subclinical CNS inflammation as response to a myelin antigen in humanized mice. J Neuroimmune Pharmacol. 2013; 8(4):1037\u00ad1047. doi: 10.1007\/s11481\u00ad013\u00ad9466\u00ad4","DOI":"10.1007\/s11481-013-9466-4"},{"key":"ref57","doi-asserted-by":"crossref","unstructured":"Zhou X., Zhang X.X., Mahmmod Y.S., Hernandez J.A., Li G.F., Huang W.Y., Wang Y.P., Zheng Y.X., Li X.M., Yuan Z.G. A transcriptome analysis: various reasons of adverse pregnancy outcomes caused by acute Toxoplasma gondii infection. Front Physiol. 2020; 11:115. doi: 10.3389\/fphys.2020.00115","DOI":"10.3389\/fphys.2020.00115"}],"container-title":["Vavilov Journal of Genetics and Breeding"],"original-title":[],"link":[{"URL":"https:\/\/vavilov.elpub.ru\/jour\/article\/viewFile\/4487\/1925","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T07:56:32Z","timestamp":1741161392000},"score":1,"resource":{"primary":{"URL":"https:\/\/vavilov.elpub.ru\/jour\/article\/view\/4487"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,4]]},"references-count":57,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,3,4]]}},"URL":"https:\/\/doi.org\/10.18699\/vjgb-25-18","relation":{},"ISSN":["2500-3259"],"issn-type":[{"value":"2500-3259","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,4]]}}}