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Orlov YL, Tatarinova TV, Oparina NY, Galieva ER, Baranova AV. Editorial: Bioinformatics of Genome Regulation, Volume I. Front Genet 2021; 12:803273. [PMID: 34938326 PMCID: PMC8687738 DOI: 10.3389/fgene.2021.803273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 11/08/2021] [Indexed: 11/23/2022] Open
Affiliation(s)
- Yuriy L Orlov
- Institute of Digital Medicine, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Agrarian and Technological Institute, Peoples' Friendship University of Russia (RUDN University), Moscow, Russia.,Life Sciences Department, Novosibirsk State University, Novosibirsk, Russia.,Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | | | - Nina Y Oparina
- Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Elvira R Galieva
- Life Sciences Department, Novosibirsk State University, Novosibirsk, Russia
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, United States.,Research Centre for Medical Genetics, Moscow, Russia
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Orlov YL, Anashkina AA, Tatarinova TV, Baranova AV. Editorial: Bioinformatics of Genome Regulation, Volume II. Front Genet 2021; 12:795257. [PMID: 34819949 PMCID: PMC8606529 DOI: 10.3389/fgene.2021.795257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 12/17/2022] Open
Affiliation(s)
- Yuriy L Orlov
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Agrobiotechnology Department, Agrarian and Technological Institute, Peoples' Friendship University of Russia (RUDN University), Moscow, Russia
| | - Anastasia A Anashkina
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, United States.,Research Centre for Medical Genetics, Moscow, Russia
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Affiliation(s)
- Ancha V. Baranova
- George Mason University, Fairfax, VA 22030 USA
- Research Centre for Medical Genetics, 115522 Moscow, Russia
| | | | - Georgy S. Lebedev
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Yuriy L. Orlov
- Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
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Nikogosov DA, Shevlyakov AD, Baranova AV. Comment on "ApoE e4e4 Genotype and Mortality With COVID-19 in UK Biobank" by Kuo et al. J Gerontol A Biol Sci Med Sci 2020; 75:2233-2234. [PMID: 32803253 PMCID: PMC7454333 DOI: 10.1093/gerona/glaa202] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
| | | | - Ancha V Baranova
- Research Center for Medical Genetics, Moscow, Russia.,School of Systems Biology, George Mason University, Fairfax, Virginia
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Krivosheeva IA, Filatova AY, Moshkovskii SA, Baranova AV, Skoblov MY. Analysis of candidate genes expected to be essential for melanoma surviving. Cancer Cell Int 2020; 20:488. [PMID: 33041669 PMCID: PMC7541296 DOI: 10.1186/s12935-020-01584-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 09/28/2020] [Indexed: 11/10/2022] Open
Abstract
Introduction Cancers may be treated by selective targeting of the genes vital for their survival. A number of attempts have led to discovery of several genes essential for surviving of tumor cells of different types. In this work, we tried to analyze genes that were previously predicted to be essential for melanoma surviving. Here we present the results of transient siRNA-mediated knockdown of the four of such genes, namely, UNC45A, STK11IP, RHPN2 and ZNFX1, in melanoma cell line A375, then assayed the cells for their viability, proliferation and ability to migrate in vitro. In our study, the knockdown of the genes predicted as essential for melanoma survival does not lead to statistically significant changes in cell viability. On the other hand, for each of the studied genes, mobility assays showed that the knockdown of each of the target genes accelerates the speed of cells migrating. Possible explanation for such counterintuitive results may include insufficiency of the predicting computational models or the necessity of a multiplex knockdown of the genes. Aims To examine the hypothesis of essentiality of hypomutated genes for melanoma surviving we have performed knockdown of several genes in melanoma cell line and analyzed cell viability and their ability to migrate. Methods Knockdown was performed by siRNAs transfected by Metafectene PRO. The levels of mRNAs before and after knockdown were evaluated by RT-qPCR analysis. Cell viability and proliferation were assessed by MTT assay. Cell migration was assessed by wound healing assay. Results The knockdown of the genes predicted as essential for melanoma survival does not lead to statistically significant changes in cell viability. On the other hand, for each of the studied genes, mobility assays showed that the knockdown of each of the target genes accelerates the speed of cells migrating. Conclusion Our results do not confirm initial hypothesis that the genes predicted essential for melanoma survival as a matter of fact support the survival of melanoma cells.
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Affiliation(s)
- Irina A Krivosheeva
- Laboratory of Functional Genomics, Research Centre of Medical Genetics, Erevanskaya Street, 10 building 2, Floor 44, Moscow, 115304 Russia
| | - Alexandra Yu Filatova
- Laboratory of Functional Genomics, Research Centre of Medical Genetics, Erevanskaya Street, 10 building 2, Floor 44, Moscow, 115304 Russia
| | - Sergei A Moshkovskii
- Laboratory of Medical Proteomics, Institute of Biomedical Chemistry, Moscow, Russia
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA USA.,Laboratory of Functional Genomics, Research Centre of Medical Genetics, Erevanskaya Street, 10 building 2, Floor 44, Moscow, 115304 Russia
| | - Mikhail Yu Skoblov
- Laboratory of Functional Genomics, Research Centre of Medical Genetics, Erevanskaya Street, 10 building 2, Floor 44, Moscow, 115304 Russia
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Affiliation(s)
- Yuriy L. Orlov
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
- Research Institute of Internal and Preventive Medicine - Branch of the Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia
| | - Elena N. Voropaeva
- Research Institute of Internal and Preventive Medicine - Branch of the Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia
| | - Ming Chen
- Department of Bioinformatics, College of Life Sciences, First Affiliated Hospital of Medical School, Zhejiang University, Hangzhou, 310058 China
| | - Ancha V. Baranova
- George Mason University, Fairfax, VA 22030 USA
- Research Centre for Medical Genetics, 115522 Moscow, Russia
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Affiliation(s)
- Tatiana V Tatarinova
- La Verne University, La Verne, CA, 91750, USA
- Department of Fundamental Biology and Biotechnology, Siberian Federal University, 660074, Krasnoyarsk, Russia
- George Mason University, Fairfax, VA, 22030, USA
| | - Ancha V Baranova
- George Mason University, Fairfax, VA, 22030, USA
- Research Centre for Medical Genetics, 115522, Moscow, Russia
| | | | - Yuriy L Orlov
- The Digital Health Institute, I.M.Sechenov First Moscow State Medical University (Sechenov University), 119991, Moscow, Russia.
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia.
- Novosibirsk State University, 630090, Novosibirsk, Russia.
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Danilov KA, Nikogosov DA, Musienko SV, Baranova AV. A comparison of BeadChip and WGS genotyping outputs using partial validation by sanger sequencing. BMC Genomics 2020; 21:528. [PMID: 32912136 PMCID: PMC7488117 DOI: 10.1186/s12864-020-06919-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 07/17/2020] [Indexed: 11/30/2022] Open
Abstract
Background Head-to-head comparison of BeadChip and WGS/WES genotyping techniques for their precision is far from straightforward. A tool for validation of high-throughput genotyping calls such as Sanger sequencing is neither scalable nor practical for large-scale DNA processing. Here we report a cross-validation analysis of genotyping calls obtained via Illumina GSA BeadChip and WGS (Illumina HiSeq X Ten) techniques. Results When compared to each other, the average precision and accuracy of BeadChip and WGS genotyping techniques exceeded 0.991 and 0.997, respectively. The average fraction of discordant variants for both platforms was found to be 0.639%. A sliding window approach was utilized to explore genomic regions not exceeding 500 bp encompassing a maximal amount of discordant variants for further validation by Sanger sequencing. Notably, 12 variants out of 26 located within eight identified regions were consistently discordant in related calls made by WGS and BeadChip. When Sanger sequenced, a total of 16 of these genotypes were successfully resolved, indicating that a precision of WGS and BeadChip genotyping for this genotype subset was at 0.81 and 0.5, respectively, with accuracy values of 0.87 and 0.61. Conclusions We conclude that WGS genotype calling exhibits higher overall precision within the selected variety of discordantly genotyped variants, though the amount of validated variants remained insufficient.
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Affiliation(s)
- Kirill A Danilov
- Atlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK. .,Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, bld. 1, 121205, Moscow, Russia.
| | - Dimitri A Nikogosov
- Atlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK
| | - Sergey V Musienko
- Atlas Biomed Group Limited, Tintagel House, 92 Albert Embankment, Lambeth, London, SE1 7TY, UK
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, 10900 University Blvd, Fairfax, VA, 22030, USA.,Research Center for Medical Genetics, Moskvorechye St., 1, 115478, Moscow, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Digital Medicine, I.M.Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.,Life Sciences Department, Novosibirsk State University, Novosibirsk, Russia.,Agrobiotechnology Department, Agrarian and Technological Institute, Peoples' Friendship University of Russia, Moscow, Russia
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, United States
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Affiliation(s)
- Ancha V. Baranova
- School of Systems Biology, George Mason University, Fairfax, VA USA
- Research Centre for Medical Genetics, 115478 Moscow, Russia
| | | | - Elena N. Voropaeva
- Research Institute of Internal and Preventive Medicine - Branch of the Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia
| | | | - Yuriy L. Orlov
- Research Institute of Internal and Preventive Medicine - Branch of the Institute of Cytology and Genetics SB RAS, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
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Affiliation(s)
- Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, USA.,Research Centre for Medical Genetics, Moscow, 115478, Russia
| | - Vadim V Klimontov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia
| | - Andrey Y Letyagin
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia
| | - Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia. .,Novosibirsk State University, 630090, Novosibirsk, Russia.
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia. .,Novosibirsk State University, 630090, Novosibirsk, Russia.
| | | | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, USA.,Research Centre for Medical Genetics, Moscow, 115478, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia. .,Novosibirsk State University, 630090, Novosibirsk, Russia. .,The A.O.Kovalevsky Institute of Marine Biological Research of RAS, Moscow, Russia.
| | - Ancha V Baranova
- Research Centre for Medical Genetics, Moscow, 115478, Russia.,School of Systems Biology, George Mason University, Fairfax, VA, USA
| | - Nikolay A Kolchanov
- Institute of Cytology and Genetics SB RAS, 630090, Novosibirsk, Russia.,Novosibirsk State University, 630090, Novosibirsk, Russia
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Affiliation(s)
- Yuriy L Orlov
- Novosibirsk State University, Novosibirsk, Russia. .,The A.O. Kovalevsky Institute of Marine Biological Research of RAS, Sevastopol, Russia.
| | | | - Ancha V Baranova
- Research Centre of Medical Genetics, Moscow, Russia.,Moscow Institute of Physics and Technology (State University), Dolgoprudnyi, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
- Novosibirsk State University, Novosibirsk, Russia.
| | | | - Ming Chen
- Zhejiang University, Hangzhou, China
| | - Ancha V Baranova
- Research Centre of Medical Genetics, Moscow, Russia
- George Mason University, Fairfax, VA, USA
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
- Novosibirsk State University, Novosibirsk, Russia.
| | - Ancha V Baranova
- Research Centre of Medical Genetics, Moscow, Russia
- George Mason University, Fairfax, VA, USA
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
- Novosibirsk State University, Novosibirsk, Russia.
| | - Ancha V Baranova
- Research Centre of Medical Genetics, Moscow, Russia
- George Mason University, Fairfax, VA, USA
| | - Ming Chen
- Zhejiang University, Hangzhou, China
| | - Elena A Salina
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia. .,Novosibirsk State University, Novosibirsk, Russia.
| | - Ancha V Baranova
- Research Centre of Medical Genetics, Moscow, Russia.,George Mason University, Fairfax, VA, USA
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Affiliation(s)
- Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, 22030, USA. .,Research Centre for Medical Genetics, Moskvorechie, 1, Moscow, Russia.
| | - Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia.,Novosibirsk State University, Pirogova, 2, 630090, Novosibirsk, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia. .,Novosibirsk State University, Pirogova, 2, 630090, Novosibirsk, Russia.
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, 22030, USA.,Research Centre for Medical Genetics, Moskvorechie, 1, Moscow, Russia
| | | | - Nikolay A Kolchanov
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia
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Kural KC, Tandon N, Skoblov M, Kel-Margoulis OV, Baranova AV. Pathways of aging: comparative analysis of gene signatures in replicative senescence and stress induced premature senescence. BMC Genomics 2016; 17:1030. [PMID: 28105936 PMCID: PMC5249001 DOI: 10.1186/s12864-016-3352-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background In culturing normal diploid cells, senescence may either happen naturally, in the form of replicative senescence, or it may be a consequence of external challenges such as oxidative stress. Here we present a comparative analysis aimed at reconstruction of molecular cascades specific for replicative (RS) and stressinduced senescence (SIPS) in human fibroblasts. Results An involvement of caspase-3/keratin-18 pathway and serine/threonine kinase Aurora A/ MDM2 pathway was shared between RS and SIPS. Moreover, stromelysin/MMP3 and N-acetylglucosaminyltransferase enzyme MGAT1, which initiates the synthesis of hybrid and complex Nglycans, were identified as key orchestrating components in RS and SIPS, respectively. In RS only, Aurora-B driven cell cycle signaling was deregulated in concert with the suppression of anabolic branches of the fatty acids and estrogen metabolism. In SIPS, Aurora-B signaling is deprioritized, and the synthetic branches of cholesterol metabolism are upregulated, rather than downregulated. Moreover, in SIPS, proteasome/ubiquitin ligase pathways of protein degradation dominate the regulatory landscape. This picture indicates that SIPS proceeds in cells that are actively fighting stress which facilitates premature senescence while failing to completely activate the orderly program of RS. The promoters of genes differentially expressed in either RS or SIPS are unusually enriched by the binding sites for homeobox family proteins, with particular emphasis on HMX1, IRX2, HDX and HOXC13. Additionally, we identified Iroquois Homeobox 2 (IRX2) as a master regulator for the secretion of SPP1-encoded osteopontin, a stromal driver for tumor growth that is overexpressed by both RS and SIPS fibroblasts. The latter supports the hypothesis that senescence-specific de-repression of SPP1 aids in SIPS-dependent stromal activation. Conclusions Reanalysis of previously published experimental data is cost-effective approach for extraction of additional insignts into the functioning of biological systems. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3352-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kamil C Kural
- School of Systems Biology, George Mason University, Manassas, VA, 20110, USA
| | | | - Mikhail Skoblov
- Research Centre for Medical Genetics, Moscow, Russia.,Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia
| | | | - Ancha V Baranova
- School of Systems Biology, George Mason University, Manassas, VA, 20110, USA. .,Research Centre for Medical Genetics, Moscow, Russia. .,Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia.
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia. .,Novosibirsk State University, Pirogova, 2, 630090, Novosibirsk, Russia.
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, 22030, USA.,Research Centre for Medical Genetics, Moskvorechie 1, Moscow, Russia
| | - Arcady L Markel
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia.,Novosibirsk State University, Pirogova, 2, 630090, Novosibirsk, Russia
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Affiliation(s)
- Yuriy L Orlov
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia.
- Novosibirsk State University, 630090, Novosibirsk, Russia.
| | - Ancha V Baranova
- School of Systems Biology, George Mason University, Fairfax, VA, 22030, USA
| | - Elena A Salina
- Institute of Cytology and Genetics SB RAS, Lavrentyeva, 10, 630090, Novosibirsk, Russia
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Skoblov MY, Scobeyeva VA, Baranova AV. [The Mechanisms of Transgenerational Inheritance and Their Potential Contribution to Human Phenotypes]. Genetika 2016; 52:283-292. [PMID: 27281848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
As of today, classical genetics has already completed the majority of groundwork to describe the laws of inheritance, identify the causes of many human diseases, and dissect the mechanisms of transfer of genetic information from parents to offspring. However, recent studies indicate that inheritance of phenotypic traits may also occur through nongenetic factors, in particular, through epigenetic factors, that manifest their effects in a transgenerational fashion. This review discusses findings in the area of transgenerational inheritance that open a new era in modern genetics. We discuss the mechanisms of transgenerational inheritance, including DNA methylation, histone modifications, and noncoding RNA transfer, and give an overview of the approaches to detect transgenerational effects in humans.
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Jacobsen KH, Aguirre AA, Bailey CL, Baranova AV, Crooks AT, Croitoru A, Delamater PL, Gupta J, Kehn-Hall K, Narayanan A, Pierobon M, Rowan KE, Schwebach JR, Seshaiyer P, Sklarew DM, Stefanidis A, Agouris P. Lessons from the Ebola Outbreak: Action Items for Emerging Infectious Disease Preparedness and Response. Ecohealth 2016; 13:200-212. [PMID: 26915507 PMCID: PMC7087787 DOI: 10.1007/s10393-016-1100-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 09/30/2015] [Accepted: 01/06/2016] [Indexed: 05/29/2023]
Abstract
As the Ebola outbreak in West Africa wanes, it is time for the international scientific community to reflect on how to improve the detection of and coordinated response to future epidemics. Our interdisciplinary team identified key lessons learned from the Ebola outbreak that can be clustered into three areas: environmental conditions related to early warning systems, host characteristics related to public health, and agent issues that can be addressed through the laboratory sciences. In particular, we need to increase zoonotic surveillance activities, implement more effective ecological health interventions, expand prediction modeling, support medical and public health systems in order to improve local and international responses to epidemics, improve risk communication, better understand the role of social media in outbreak awareness and response, produce better diagnostic tools, create better therapeutic medications, and design better vaccines. This list highlights research priorities and policy actions the global community can take now to be better prepared for future emerging infectious disease outbreaks that threaten global public health and security.
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Affiliation(s)
- Kathryn H Jacobsen
- Department of Global and Community Health, College of Health and Human Services, George Mason University, 4400 University Drive 5B7, Fairfax, VA, 22030, USA.
| | - A Alonso Aguirre
- Department of Environmental Science and Policy, College of Science, George Mason University, Fairfax, VA, USA
| | - Charles L Bailey
- National Center for Biodefense and Infectious Diseases, School of Systems Biology, College of Science, George Mason University, Manassas, VA, USA
| | - Ancha V Baranova
- Department of Environmental Science and Policy, College of Science, George Mason University, Fairfax, VA, USA
- Center for the Study of Chronic Metabolic Diseases, School of Systems Biology, College of Science, George Mason University, Manassas, VA, USA
| | - Andrew T Crooks
- Department of Computational and Data Sciences, College of Science, George Mason University, Fairfax, VA, USA
| | - Arie Croitoru
- Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, VA, USA
| | - Paul L Delamater
- Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, VA, USA
| | - Jhumka Gupta
- Department of Global and Community Health, College of Health and Human Services, George Mason University, 4400 University Drive 5B7, Fairfax, VA, 22030, USA
| | - Kylene Kehn-Hall
- National Center for Biodefense and Infectious Diseases, School of Systems Biology, College of Science, George Mason University, Manassas, VA, USA
| | - Aarthi Narayanan
- National Center for Biodefense and Infectious Diseases, School of Systems Biology, College of Science, George Mason University, Manassas, VA, USA
| | - Mariaelena Pierobon
- Center for Applied Proteomics and Molecular Medicine, School of Systems Biology, College of Science, George Mason University, Manassas, VA, USA
| | - Katherine E Rowan
- Department of Communication, College of Humanities and Social Sciences, George Mason University, Fairfax, VA, USA
| | - J Reid Schwebach
- Department of Biology, College of Science, George Mason University, Fairfax, VA, USA
| | - Padmanabhan Seshaiyer
- Department of Mathematical Sciences, College of Science, George Mason University, Fairfax, VA, USA
| | - Dann M Sklarew
- Department of Environmental Science and Policy, College of Science, George Mason University, Fairfax, VA, USA
| | - Anthony Stefanidis
- Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, VA, USA
| | - Peggy Agouris
- Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, VA, USA
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Baranova AV, Orlov YL. The papers presented at 7th Young Scientists School "Systems Biology and Bioinformatics" (SBB'15): Introductory Note. Introduction. BMC Genet 2016; 17 Suppl 1:20. [PMID: 26822407 PMCID: PMC4895277 DOI: 10.1186/s12863-015-0326-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Ancha V Baranova
- Research Center for Medical Genetics RAMS, Moscow, Russian Federation. .,Center for the Study of Chronic Metabolic Diseases, School of System Biology, George Mason University, Fairfax, VA, USA.
| | - Yuriy L Orlov
- Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Lavrentieva ave., 10, Novosibirsk, 630090, Russian Federation.,Novosibirsk State University, Pirogova, 2, Novosibirsk, 630090, Russian Federation
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Kazubskaia TP, Kozlova VM, Kondrat'eva TT, Pavlovskaia AI, Marakhonov AV, Baranova AV, Ivanova NI, Stepanova AA, Poliakov AV, Belev NF, Brzhezovskiĭ VZ. [Follicular cell (papillary and follicular) thyroid carcinoma, genetic inheritance, and molecular diagnostic markers]. Arkh Patol 2014; 76:3-12. [PMID: 25543402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVE To determine the genetic forms of follicular cell thyroid carcinoma (FCTC) (papillary and follicular thyroid carcinoma (PTC and FTC)), to identify criteria to individually predict the development of the same disease for relatives, and to assess the role of molecular markers in the diagnosis, prognosis, and treatment of this disease. SUBJECTS AND METHODS One hundred and ninety adult patients aged 20 to 84 years with histologically verified PTC and FTC and 20 children (12 patients with PTC and 8 with benign thyroid tumors) aged 2 to 16 years were examined. To assess the role of the BRAF gene as a molecular marker for thyroid carcinoma, DNA was isolated from the thyroid tumor tissue of 29 patients, which had been obtained by fine-needle aspiration biopsy (FNAB) and scraping and swabbing the cytological specimen previously showing an area containing tumor cells. A BRAF c.1799T>A (p.V600E) mutation in the FNAB specimens was tested by allele-specific ligation, followed by PCR amplification. RESULTS The examinees' families were found to have a segregation of benign thyroid tumor and nontumor diseases (13.6%). Neoplasias of different sites were observed in 15% of the patients' relatives. Multiple primary tumors were detected in 6.1% of the patients and in 25% of the examined children (3/12). PTC was ascertained to accumulate as two clinical forms in the families. One form belongs to familial PTC (FPTC) in which two or three generations of relatives in the family are afflicted by only PTC and have a more severe phenotype of the disease. The other includes an association of FPTC with papillary kidney cancer. Furthermore, FPTC and PTC may be a component of multitumor syndromes, such as multiple endocrine neoplasia type 1, Cowden syndrome, and familial adenomatous polyposis. The familial hereditary forms of FCTC were generally revealed in 4.2% of the patients. BRAF v600E mutations were found in only 3 patients with Stages II and III PTC and were not in all the 12 children with PTC. CONCLUSION The found clinical manifestation of the hereditary forms of FCTC permits the identification of people at high risk for this disease. No correlation between somatic BRAF mutations with a less favorable course in PTC can be noticed because there are few observations. Analysis of published data on the role of molecular markers in FCTC has shown that the existing specific somatic changes complement information in the differential cytological diagnosis when examining FNAB specimens.
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MESH Headings
- Adenocarcinoma, Follicular/diagnosis
- Adenocarcinoma, Follicular/genetics
- Adenocarcinoma, Follicular/pathology
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Biopsy, Fine-Needle
- Carcinoma/diagnosis
- Carcinoma/genetics
- Carcinoma/pathology
- Carcinoma, Papillary
- Child
- Child, Preschool
- Female
- Humans
- Male
- Middle Aged
- Neoplasm Staging
- Pathology, Molecular
- Pedigree
- Point Mutation
- Polymorphism, Single Nucleotide
- Proto-Oncogene Proteins B-raf/genetics
- Thyroid Cancer, Papillary
- Thyroid Neoplasms/diagnosis
- Thyroid Neoplasms/genetics
- Thyroid Neoplasms/pathology
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Borzov EA, Marakhonov AV, Ivanov MV, Drozdova PB, Baranova AV, Skoblov MI. [RANDTRAN: random transcriptome sequence generator that accounts for partition specific features in eukaryotic mRNA datasets]. Mol Biol (Mosk) 2014; 48:859-867. [PMID: 25842872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The generation of true random and pseudorandom control sequences is an important problem of computational biology. Available random sequence generators differ in underlying probabilistic models that often remain undisclosed to users. Random sequences produced by differing probabilistic models substantially differ in their outputs commonly used as baselines for evaluations of the motif frequencies. Moreover, modern bioinformatics studies often require generation of matching control transcriptome with emulated partitions into ORFs, 5'- and 3'-UTRs as well as the proportion of non-coding RNAs within model transcriptome rather than relatively simple continuous control sequences. Here we describe novel random sequence generating tool RANDTRAN that accounts for the length distribution of 5' and 3' non-translated regions in given transcriptome and the partition-specific di- and trinucleotide compositions in translated and non-translated regions. RANDRAN presents matching control transcriptomes in ready-to-use UCSC genome browser-compatible input files. These features may be useful for generating of control sequence sets for common types of computational analysis of various sequence motifs within various sets of RNA. RANDTRAN is available for free download at http://www.genereseairch.ru/images/Randtran.rar.
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Melkina OE, Goryanin II, Manukhov IV, Baranova AV, Kolb VA, Svetlov MS, Zavilgelsky GB. Trigger factor assists the refolding of heterodimeric but not monomeric luciferases. Biochemistry (Mosc) 2014; 79:62-8. [PMID: 24512665 DOI: 10.1134/s000629791401009x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The refolding of thermally inactivated protein by ATP-independent trigger factor (TF) and ATP-dependent DnaKJE chaperones was comparatively analyzed. Heterodimeric (αβ) bacterial luciferases of Aliivibrio fischeri, Photobacterium leiognathi, and Vibrio harveyi as well as monomeric luciferases of Vibrio harveyi and Luciola mingrelica (firefly) were used as substrates. In the presence of TF, thermally inactivated heterodimeric bacterial luciferases refold, while monomeric luciferases do not refold. These observations were made both in vivo (Escherichia coli ΔdnaKJ containing plasmids with tig gene) and in vitro (purified TF). Unlike TF, the DnaKJE chaperone system refolds both monomeric and heterodimeric luciferases with equal efficiency.
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Affiliation(s)
- O E Melkina
- Research Institute for Genetics and Selection of Industrial Microorganisms (GosNIIGenetika), Moscow, 117545, Russia.
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Marakasova ES, Akhmatova NK, Amaya M, Eisenhaber B, Eisenhaber F, van Hoek ML, Baranova AV. [Prenylation: from bacteria to eukaryotes]. Mol Biol (Mosk) 2013; 47:717-730. [PMID: 25509344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
For their protection from host cell immune defense, intracellular eukaryotic parasites developed a variety of mechanisms, including secretion systems III and IV which inject bacterial effectors directly into eukaryotic cells. These effectors may be posttranslational modified by host cell machinery and may function inside the host cell. Recently, to the list of possible posttranslational modifications of bacterial proteins the prenylation was added. In this work we describe current state of the knowledge about the prenylation of eukaryotic and prokaryotic proteins and its inhibitors. The bioinformatics analyses suggest possibility of prenylation for a number of Francisella genus proteins.
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Abeele FV, Bidaux G, Gordienko D, Beck B, Panchin YV, Baranova AV, Ivanov DV, Skryma R, Prevarskaya N. Functional implications of calcium permeability of the channel formed by pannexin 1. J Biophys Biochem Cytol 2013. [PMCID: PMC3664710 DOI: 10.1083/jcb.20060111505092013c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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32
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Glebova KV, Marakhonov AV, Baranova AV, Skoblov MI. [Therapeutic siRNAs and non-viral systems for their delivery]. Mol Biol (Mosk) 2012; 46:371-386. [PMID: 22888628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Gene-directed therapy with small interfer-ring RNA (siRNA) has a tremedous potential and in the future will undoubtly occupy one of the leading positions among other therapeutic methods. The lack of efficient and targeted delivery vectors delays the successful implementation of this method in clinic. To develop such systems, one needs a comprehansive insight into the processes of interactions between siRNAs, its delivery systems and an organism. This review covers properties of therapeutic siRNAs and non-viral systems for their delivery.
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Glebova KV, Marakhonov AV, Baranova AV, Skoblov MI. [Types of non-viral delivery systems of small interfering RNA]. Mol Biol (Mosk) 2012; 46:387-401. [PMID: 22888629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
To date, RNA interference remains the most powerful and promising tool for gene-targeted therapy. Several problems still have to be solved for its successful use in clinics. One of the main issues is the siRNA's efficient delivery. This review covers various types of nonviral siRNA delivery systems.
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Wojtusiak J, Michalski RS, Simanivanh T, Baranova AV. Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome. Int J Med Inform 2009; 78:e104-11. [DOI: 10.1016/j.ijmedinf.2009.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2008] [Revised: 03/04/2009] [Accepted: 04/09/2009] [Indexed: 12/31/2022]
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Polev DE, Nosova IK, Krukovskaia LL, Baranova AV, Kozlov AP. [Expression of transcripts related to the cluster HS.633957 in human normal and tumor tissues]. Mol Biol (Mosk) 2009; 43:97-102. [PMID: 19334531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Using computational methods for analysis of electronic databases we identified a number of human nucleotide sequences expressed predominantly in tumors. We experimentally studied one of the sequences, which is related to the UniGene database cluster Hs.633957 and located near the telomere in the chromosome 7p22.3. All the RNA sequences of the cluster Hs.633957 are non-coding and their role was not described yet, but expression pattern of the locus makes it theoretically and practically interesting. Here we studied expression of the sequence Hs.633957 in various normal and tumor tissues using reverse transcription polymerase chain reaction. Of all the normal adult tissues studied weak expression was only identified in heart and liver. It was also identified in embryonic brain and kidney. Locus Hs.633957 is expressed in tumors of various tissue origin including tumors of lung, intestines, breast, stomach, cervix, lymph nodes and others. Thus the Hs.633957 locus is expressed predominantly in tumors and may be considered a prospective tumor marker.
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Baranova AV. [Adipokine genetics: unbalanced protein secretion by human adipose tissue as a cause of the metabolic syndrome]. Genetika 2008; 44:1338-1355. [PMID: 19062531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Subcutaneous and visceral adipose compartments act, not only as fatty acid depots, but also as active endocrine organs that undergo hyperplastic changes and significantly enhance their function in obesity. Akipokines and other proteins secreted by both adipocytes and stromal cells play a central role in peripheral insulin resistance and the metabolic syndrome (MS). Minor alleles of the adipokine genes substantially contribute to MS. The most important consequence of MS is low-level systemic inflammation supported by adipose-specific synthesis of proinflammatory soluble molecules. Proinflammatory signals are secreted into the bloodstream and spread to peripheral tissues that contain their receptors. The signals provided by adipose tissue stimulate the development of secondary complications of MS, including cardiovascular disorders (CVDs) and nonalcoholic fatty liver disease. The review describes the physiological effects of adiponectin, leptin, resistin, visfatin, and apelin and the influence of the minor alleles of the adipokine genes on the development of the secondary complications of MS.
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37
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Marakhonov AV, Baranova AV, Skoblov MI. [Antisense regulation of human gene MAP3K13: true phenomenon or artifact]. Mol Biol (Mosk) 2008; 42:581-587. [PMID: 18856057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Antisense regulation of gene expression is a widespread but poorly understood mechanism of gene expression regulation. The potential role of antisense transcripts in tumorigenesis is the most intriguing for the functional research. Here we experimentally characterize an antisense mRNA asLZK overlapping human MAP3K13/LZK gene that is involved in mitogenesis related JNK/SAPK signal transduction pathway. According to the functional annotation of the human genome, asLZK transcript (LOC647276) is expressed at the relatively high level and overrepresented in tumor samples. To our surprise, experimental study of human asLZK revealed that this sequence is not expressed, but represents a silent pseudogene of ribosomal protein L4 encoding gene RPL4. This pseudogene resulted from relatively recent retroposition of RPL4 mRNA into the first intron of MAP3K13 gene and does not participate in the regulation of MAP3K13 expression. This study stresses that, after initial in silico mapping efforts, experimental verification of the expression landscape is warranted.
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Krukovskaia LL, Polev DE, Nosova IK, Baranova AV, Koliubaeva SN, Kozlov AP. [Investigation of transcription factor Brachyury (T) expression in human normal and tumor tissues]. Vopr Onkol 2008; 54:739-743. [PMID: 19241850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
By using computational differential display approach we identified a number of UniGene clusters which comprised 90% or more of ESTs from tumor cDNA libraries. One of them was cluster Hs.389457 which corresponds to the human gene Brachyury (T). That encodes a T-box gene family member transcription factor which is pivotal in early embryonal development. To experimentally verify our in silico findings of T expression, PCR was conducted using panels of cDNA from various human normal and tumor tissues. According to our results, Brachynry is expressed in tumors of the digestive tract, testis, ovary, breast, kidney, bladder, lung and brain tunic as well as in lymphomas. Weak amplification signals were picked up from normal tissues of small intestine, spleen and testis. Our results support earlier hypothesis on predominant tumor-related expression of Brachyury gene in adults.
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Nikitin EA, Malakho SG, Biderman BV, Baranova AV, Lorie YY, Shevelev AY, Peklo MM, Vlasik TN, Moskalev EA, Zingerman BV, Vorob'ev IA, Poltaraus AB, Sudarikov AB, Vorobjev AI. Expression level of lipoprotein lipase and dystrophin genes predict survival in B-cell chronic lymphocytic leukemia. Leuk Lymphoma 2007; 48:912-22. [PMID: 17487735 DOI: 10.1080/10428190701245112] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Mutational status of immunoglobulin variable region genes (VH-genes) is known as the strongest predictor of long term prognosis in B-CLL. However, applications in the routine clinical practice are time consuming, and therefore some other predictions are required. In this study, we have compared prognostic values of real time PCR quantification of the expression levels of four genes previously shown to be differentially expressed in V(H)-unmutated and mutated B-CLL subtypes: ZAP-70, ZBTB20, DMD and LPL. The study included 134 B-CLL patients. Expression levels of LPL and DMD genes were significantly correlated to mutational status, while expression levels of of ZAP-70 gene correlated only in CD19+ selected cases (N = 40). No correlation was observed for ZBTB20 gene. Expression levels of LPL and DMD predicted overall survival in the entire cohort of patients. Prognostic values of LPL gene expression levels were significant even for CLL patients with stage A. Quantitative RT-PCR assays for measuring LPL gene expression are robust enough to be introduced into routine clinical practice.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Dystrophin/biosynthesis
- Female
- Gene Expression Regulation, Neoplastic
- Humans
- Leukemia, B-Cell/metabolism
- Leukemia, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukocytes, Mononuclear/metabolism
- Lipoprotein Lipase/biosynthesis
- Male
- Middle Aged
- Prognosis
- Treatment Outcome
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Affiliation(s)
- E A Nikitin
- Hematology Research Center of Russia, Moscow, Russia.
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40
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Palena C, Polev DE, Tsang KY, Fernando RI, Litzinger M, Krukovskaya LL, Baranova AV, Kozlov AP, Schlom J. The human T-box mesodermal transcription factor Brachyury is a candidate target for T-cell-mediated cancer immunotherapy. Clin Cancer Res 2007; 13:2471-8. [PMID: 17438107 DOI: 10.1158/1078-0432.ccr-06-2353] [Citation(s) in RCA: 126] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Identification of tumor antigens is essential in advancing immune-based therapeutic interventions in cancer. Particularly attractive targets are those molecules that are selectively expressed by malignant cells and that are also essential for tumor progression. EXPERIMENTAL DESIGN AND RESULTS We have used a computer-based differential display analysis tool for mining of expressed sequence tag clusters in the human Unigene database and identified Brachyury as a novel tumor antigen. Brachyury, a member of the T-box transcription factor family, is a key player in mesoderm specification during embryonic development. Moreover, transcription factors that control mesoderm have been implicated in the epithelial-mesenchymal transition (EMT), which has been postulated to be a key step during tumor progression to metastasis. Reverse transcription-PCR analysis validated the in silico predictions and showed Brachyury expression in tumors of the small intestine, stomach, kidney, bladder, uterus, ovary, and testis, as well as in cell lines derived from lung, colon, and prostate carcinomas, but not in the vast majority of the normal tissues tested. An HLA-A0201 epitope of human Brachyury was identified that was able to expand T lymphocytes from blood of cancer patients and normal donors with the ability to lyse Brachyury-expressing tumor cells. CONCLUSIONS To our knowledge, this is the first demonstration that (a) a T-box transcription factor and (b) a molecule implicated in mesodermal development, i.e., EMT, can be a potential target for human T-cell-mediated cancer immunotherapy.
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Affiliation(s)
- Claudia Palena
- Laboratory of Tumor Immunology and Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland 20892, USA
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Kozlov AP, Galachyants YP, Dukhovlinov IV, Samusik NA, Baranova AV, Polev DE, Krukovskaya LL. Evolutionarily new sequences expressed in tumors. Infect Agent Cancer 2006; 1:8. [PMID: 17189608 PMCID: PMC1779766 DOI: 10.1186/1750-9378-1-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2006] [Accepted: 12/25/2006] [Indexed: 12/03/2022] Open
Abstract
Background Earlier we suggested the concept of the positive evolutionary role of tumors. According to this concept, tumors provide conditions for the expression of evolutionarily new and/or sleeping genes in their cells. Thus, tumors are considered as evolutionary proving ground or reservoir of expression. To support this concept we have previously characterized in silico and experimentally a new class of human tumor-related transcribed sequences. Results In this article we describe results of further studies of previously described tumor-related sequences. The results of molecular phylogeny studies, Southern hybridization experiments and computational comparison with genomes of other species are presented. Conclusion These results suggest that these previously described tumor-related human transcripts are also relatively evolutionarily new.
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Affiliation(s)
- Andrei P Kozlov
- The Biomedical Center, 8 Vyborgskaya St., St.Petersburg, 194044, Russia
| | | | | | | | - Ancha V Baranova
- The Biomedical Center, 8 Vyborgskaya St., St.Petersburg, 194044, Russia
- Center for the Study of Genomics in Liver Disearses, Molecular and Microbiology Department, George Mason University, Fairfax, USA
| | - Dmitry E Polev
- The Biomedical Center, 8 Vyborgskaya St., St.Petersburg, 194044, Russia
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Vanden Abeele F, Bidaux G, Gordienko D, Beck B, Panchin YV, Baranova AV, Ivanov DV, Skryma R, Prevarskaya N. Functional implications of calcium permeability of the channel formed by pannexin 1. ACTA ACUST UNITED AC 2006; 174:535-46. [PMID: 16908669 PMCID: PMC2064259 DOI: 10.1083/jcb.200601115] [Citation(s) in RCA: 185] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Although human pannexins (PanX) are homologous to gap junction molecules, their physiological function in vertebrates remains poorly understood. Our results demonstrate that overexpression of PanX1 results in the formation of Ca2+-permeable gap junction channels between adjacent cells, thus, allowing direct intercellular Ca2+ diffusion and facilitating intercellular Ca2+ wave propagation. More intriguingly, our results strongly suggest that PanX1 may also form Ca2+-permeable channels in the endoplasmic reticulum (ER). These channels contribute to the ER Ca2+ leak and thereby affect the ER Ca2+ load. Because leakage remains the most enigmatic of those processes involved in intracellular calcium homeostasis, and the molecular nature of the leak channels is as yet unknown, the results of this work provide new insight into calcium signaling mechanisms. These results imply that for vertebrates, a new protein family, referred to as pannexins, may not simply duplicate the connexin function but may also provide additional pathways for intra- and intercellular calcium signaling and homeostasis.
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Affiliation(s)
- Fabien Vanden Abeele
- Institut National de la Santé et de la Recherche Médicale, U800, Equipe labellisée par la Ligue Contre le Cancer, Universite des Sciences et Technologies de Lille, Villeneuve d'Ascq Cedex, F-59655 France
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Gus'kova AA, Zagurnyĭ AV, Skoblov MI, Baranova AV, Andronova VL, Iankovskiĭ NK, Galegov GA, Skoblov IS. [Molecular genetic analysis of thimidine kinase from herpes simplex virus type 1]. Mol Biol (Mosk) 2005; 39:155-8. [PMID: 15773560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
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Baranova AV, Ivanov DV, Tiazhelova TV, Iankovskiĭ NK. [Structural-functional characteristics of the 13q14 region of the human genome in the search for potential tumor suppressor genes]. Mol Biol (Mosk) 2004; 38:203-12. [PMID: 15125224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Works on chromosome 13 mapping supported by the Russian program Human Genome are reviewed. Emphasis is placed on studies of region 13q14.3, which is often lost in some human tumors and potentially contains tumor suppressor genes (TSG). A strategy of TSG search is described. As the resolution of genome analysis improved, a minimal overlap of genetic loss in B-cell chronic lymphocytic leukemia (B-CLL) was established for chromosome 13. A map of expressed sequences was constructed for the region containing the overlap, and candidate TSG of chromosome 13q14 were identified. The candidate genes were analyzed both structurally and functionally, and their possible role in tumorigenesis was considered. Assuming haploinsufficiency as a genetic mechanism controlling B-CLL, a new strategy was proposed for mutation screening aimed at identifying potential TSG of region 13q14.
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Affiliation(s)
- A V Baranova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991 Russia
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Tiazhelova TV, Ivanov DV, Nazarenko SA, Baranova AV, Iankovskiĭ NK. [Search for transcribed segments in the region of q14.3 of human chromosome 13 in silico]. Genetika 2004; 40:422-426. [PMID: 15125259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Using computer-aided genomic methods, a complete map of the expressed sequence tags (EST) located in the human genome region 13q14.3 between the STS markers, D13S810 and D13S1469, was constructed. A total of 62 EST clusters were formed, of which 12 clusters corresponded to the already known human genes, 4 clusters represented pseudogenes, and 10 clusters were new human genes. The use of the method of reverse transcription in combination with polymerase chain reaction (RT-PCR) provided experimental confirmation of the existence of mRNA transcripts for the novel human genes revealed in silico.
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Affiliation(s)
- T V Tiazhelova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991 Russia.
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46
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Makeeva NV, Pestova AA, Borodina TA, Madera DA, Ivanov DV, Stepanova EV, Baranova AV. [Fundamental and applied aspects of comparative genomics of vertebrates]. Genetika 2003; 39:1157-1171. [PMID: 14582384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The Human Genome Project stimulated the development of efficient strategies and relevant hardware for complete genome sequencing. The comparative genomic approach extends the possibilities of using the sequencing data to identify new genes or conserved regulatory regions by means of nucleotide sequence alignment of the particular regions of the mouse and human genomes, or to trace the evolutionary events resulting in the genome structure of modern mammals. The review focuses on the use of new molecular cytogenetic methods along with computer-aided analysis of the genomes in vertebrates. Several factors hindering data analysis are considered. The currently available information on gene evolution rate inferred from comparative genomic data is presented. The origin and evolution of the genomes of several species are discussed.
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Affiliation(s)
- N V Makeeva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991 Russia
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Ivanov DV, Tyazhelova TV, Lemonnier L, Kononenko N, Pestova AA, Nikitin EA, Prevarskaya N, Skryma R, Panchin YV, Yankovsky NK, Baranova AV. A new human gene KCNRG encoding potassium channel regulating protein is a cancer suppressor gene candidate located in 13q14.3. FEBS Lett 2003; 539:156-60. [PMID: 12650944 DOI: 10.1016/s0014-5793(03)00211-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We report the primary characterization of a new gene KCNRG mapped at chromosome band 13q14.3. This gene includes three exons and has two alternatively spliced isoforms that are expressed in normal tissues and in some tumor cell lines. Protein KCNRG has high homology to tetramerization domain of voltage-gated K+ channels. Using the patch-clamp technique we determined that KCNRG suppresses K+ channel activity in human prostate cell line LNCaP. It is known that selective blockers of K+ channels suppress lymphocyte and LNCaP cell line proliferation. We suggest that KCNRG is a candidate for a B-cell chronic lymphocytic leukemia and prostate cancer tumor suppressor gene.
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Affiliation(s)
- D V Ivanov
- Vavilov Institute of General Genetics, 3 Gubkina Str., 119991 Moscow, Russia
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Abstract
A computer-based differential display tool named HsAnalyst has been developed and successfully used for the comparison of expression patterns in a set of tumours versus a set of normal tissues. A list of EST clusters highly represented in tumours and rarely observed in normal tissues has been developed as a resulting output file of the program. These differentially expressed EST clusters (genes) can be useful for developing new tumour markers and prognostic indicators for a wide set of human malignancies. Tumour-specific protein-coding genes may be considered a manifestation of tumour-specific gene expression.
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Affiliation(s)
- A V Baranova
- Vavilov Institute of General Genetics, 3 Gubkina Str., Moscow 119991, Russia.
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Tiazhelova TV, Ivanov DV, Makeeva NV, Kapanadze BI, Nikitin EA, Semov AB, Sangfeldt O, Grander D, Vorob'ev AI, Einhorn S, Iankovskiĭ NK, Baranova AV. [Transcription map of the 13q14 region, frequently deleted in B-cell chronic lymphocytic leukemia patients]. Genetika 2001; 37:1530-1537. [PMID: 11771308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Deletions in the region located between the STS markers D13S1168 and D13S25 on chromosome 13 are the most frequent genomic changes in patients with B-cell chronic lymphocytic leukemia (B-CLL). After sequencing of this region, two novel candidate genes were identified: C13orf1 (chromosome 13 open reading frame 1) and PLCC (putative large CLL candidate). Analysis of the repeat distribution revealed two subregions differing in composition of repetitious DNA and gene organization. The interval D13S1168-D13S319 contains 131 Alu repeats accounting for 24.8% of its length, whereas the interval GCT16C05-D13S25, which is no more than 180 kb away from the former one is extremely poor in Alu repeats (4.1% of the total length). Both intervals contain almost the same amount of the LINE-type repeats L1 and L2 (20.3 and 21.24%, respectively). In the chromosomal region studied, 29 Alu repeats were found to belong to the evolutionary young subfamily Y, which is still capable of amplifying. A considerable proportion of repeats of this type with similar nucleotide sequences may contribute to the recombinational activity of the chromosomal region 13q14.3, which is responsible for its rearrangements in some tumors in humans.
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Affiliation(s)
- T V Tiazhelova
- Vavilov Institute of General Genetics, Russian Academy of Science, Moscow, 119991 Russia
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Borodina TA, Ivanov DV, Khusnutdinova EK, Spitsyn VA, Baranova AV, Iankovskiĭ NK. [A new pentanucleotide STR-marker, located in the intron of the ING1 tumor suppressor gene and its allelic polymorphism]. Genetika 2001; 37:117-119. [PMID: 11234417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
DNA samples of unrelated subjects from the Volga-Ural region of Russia were examined to study allele polymorphism of the pentanucleotide repeat (TTGTG)8 localized to an intron of the tumor suppressor gene ING1. STR marker was registered in the EMBL database with the accession number AJ277387. In a sample of 119 individuals, three pentanucleotide alleles consisting of seven, eight, and nine repeated monomers were revealed. The allele frequencies were 0.24, 0.74, and 0.02, respectively. Heterozygosity was 0.45. On the basis of these data, the repeat can be regarded as a polymorphic STR marker for the ING1 gene and used in population and clinical studies.
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Affiliation(s)
- T A Borodina
- Vavilov Institute of General Genetics, Russian Academy of Science, Moscow, 117809 Russia
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