Vera N. Senchenko
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Vera N. Senchenko has a total of 162 co-authors. Here are the top co-authors by number of shared publications:
- Vladimir I. Kashuba
Institute of Molecular Biology and Genetics, NAS of Ukraine
13 shared publications - Alexey Alexandrovich Dmitriev
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
11 shared publications - Anna Viktorovna Kudryavtseva
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
11 shared publications - Eleonora A. Braga
Research Institute of General Pathology and Pathophysiology, Moscow, Russia
11 shared publications George Klein
Department of Microbiology
9 shared publicationsMichael I. Lerman
Affiliation Scientific Board, Affina Biotechnologies, 06902, Stamford, CT, USA
9 shared publications
Latest Publications
- Open Access
- 1 February 2021
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1787 (1) , 012007
Experimental study of thermal expansion of chromium near its melting point
Experimental study of thermal expansion of chromium by millisecond pulse heating technique was performed. The results obtained allow calculating the density of Cr in the wide range of high temperatures up to the melting point.
- 1 February 2021
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1787 (1) , 012007
Open AccessExperimental study of thermal expansion of chromium near its melting point
Experimental study of thermal expansion of chromium by millisecond pulse heating technique was performed. The results obtained allow calculating the density of Cr in the wide range of high temperatures up to the melting point.
- Open Access
- 11 May 2015
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 10 (5) , e0123369
Tumor Suppressor Function of the SEMA3B Gene in Human Lung and Renal Cancers
The SEMA3B gene is located in the 3p21.3 LUCA region, which is frequently affected in different types of cancer. The objective of our study was to expand our knowledge of the SEMA3B gene as a tumor suppressor and the mechanisms of its inactivation. In this study, several experimental approaches were used: tumor growth analyses and apoptosis assays in vitro and in SCID mice, expression and methylation assays and other. With the use of the small cell lung cancer cell line U2020 we confirmed the function of SEMA3B as a tumor suppressor, and showed that the suppression can be realized through the induction of apoptosis and, possibly, associated with the inhibition of angiogenesis. In addition, for the first time, high methylation frequencies have been observed in both intronic (32-39%) and promoter (44-52%) CpG-islands in 38 non-small cell lung carcinomas, including 16 squamous cell carcinomas (SCC) and 22 adenocarcinomas (ADC), and in 83 clear cell renal cell carcinomas (ccRCC). Correlations between the methylation frequencies of the promoter and the intronic CpG-islands of SEMA3B with tumor stage and grade have been revealed for SCC, ADC and ccRCC. The association between the decrease of the SEMA3B mRNA level and hypermethylation of the promoter and the intronic CpG-islands has been estimated in renal primary tumors (P < 0.01). Using qPCR, we observed on the average 10- and 14-fold decrease of the SEMA3B mRNA level in SCC and ADC, respectively, and a 4-fold decrease in ccRCC. The frequency of this effect was high in both lung (92-95%) and renal (84%) tumor samples. Moreover, we showed a clear difference (P < 0.05) of the SEMA3B relative mRNA levels in ADC with and without lymph node metastases. We conclude that aberrant expression and methylation of SEMA3B could be suggested as markers of lung and renal cancer progression.
- 11 May 2015
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 10 (5) , e0123369
Open AccessTumor Suppressor Function of the SEMA3B Gene in Human Lung and Renal Cancers
The SEMA3B gene is located in the 3p21.3 LUCA region, which is frequently affected in different types of cancer. The objective of our study was to expand our knowledge of the SEMA3B gene as a tumor suppressor and the mechanisms of its inactivation. In this study, several experimental approaches were used: tumor growth analyses and apoptosis assays in vitro and in SCID mice, expression and methylation assays and other. With the use of the small cell lung cancer cell line U2020 we confirmed the function of SEMA3B as a tumor suppressor, and showed that the suppression can be realized through the induction of apoptosis and, possibly, associated with the inhibition of angiogenesis. In addition, for the first time, high methylation frequencies have been observed in both intronic (32-39%) and promoter (44-52%) CpG-islands in 38 non-small cell lung carcinomas, including 16 squamous cell carcinomas (SCC) and 22 adenocarcinomas (ADC), and in 83 clear cell renal cell carcinomas (ccRCC). Correlations between the methylation frequencies of the promoter and the intronic CpG-islands of SEMA3B with tumor stage and grade have been revealed for SCC, ADC and ccRCC. The association between the decrease of the SEMA3B mRNA level and hypermethylation of the promoter and the intronic CpG-islands has been estimated in renal primary tumors (P < 0.01). Using qPCR, we observed on the average 10- and 14-fold decrease of the SEMA3B mRNA level in SCC and ADC, respectively, and a 4-fold decrease in ccRCC. The frequency of this effect was high in both lung (92-95%) and renal (84%) tumor samples. Moreover, we showed a clear difference (P < 0.05) of the SEMA3B relative mRNA levels in ADC with and without lymph node metastases. We conclude that aberrant expression and methylation of SEMA3B could be suggested as markers of lung and renal cancer progression.
- Open Access
- 1 January 2015
- Published by Wiley in Disease Markers
- Vol. 2015, 1-13
Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis
A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease. The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors. NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors. For 88 clones, aberrations were detected in more than 10% of tumors. The major types of alterations were DNA methylation and/or deletions. Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes:FGF12,GATA2, andLMCD1. Three genes (BHLHE40,BCL6, andITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors. Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness:BHLHE40,FOXP1,LOC285205,ITGA9,CTDSPL,FGF12,LOC440944/SETD5,VHL,CLCN2,OSBPL10/ZNF860,LMCD1,FAM19A4,CAND2,MAP4,KY, andLRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis.
- 1 January 2015
- Published by Wiley in Disease Markers
- Vol. 2015, 1-13
Open AccessIdentification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis
A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease. The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors. NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors. For 88 clones, aberrations were detected in more than 10% of tumors. The major types of alterations were DNA methylation and/or deletions. Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes:FGF12,GATA2, andLMCD1. Three genes (BHLHE40,BCL6, andITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors. Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness:BHLHE40,FOXP1,LOC285205,ITGA9,CTDSPL,FGF12,LOC440944/SETD5,VHL,CLCN2,OSBPL10/ZNF860,LMCD1,FAM19A4,CAND2,MAP4,KY, andLRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis.
- 12 July 2013
- Published by Pleiades Publishing Ltd in Russian Journal of Genetics
- Vol. 49 (7) , 707-716
Differential expression of genes that encode glycolysis enzymes in kidney and lung cancer in humans
Glycolysis is a main catabolic pathway of glucose metabolism, accompanied by ATP synthesis. More than 30 enzymes are involved in glycolysis, and genes that encode them can be considered housekeeping...
- 12 July 2013
- Published by Pleiades Publishing Ltd in Russian Journal of Genetics
- Vol. 49 (7) , 707-716
Differential expression of genes that encode glycolysis enzymes in kidney and lung cancer in humans
Glycolysis is a main catabolic pathway of glucose metabolism, accompanied by ATP synthesis. More than 30 enzymes are involved in glycolysis, and genes that encode them can be considered housekeeping...
- 1 April 2013
- Published by Taylor & Francis in Epigenetics
- Vol. 8 (4) , 409-420
Novel tumor suppressor candidates on chromosome 3 revealed by NotI-microarrays in cervical cancer
Genetic and epigenetic alterations in cervical carcinomas were investigated using NotI-microarrays containing 180 cloned sequences flanking all NotI-sites associated with genes on chromosome 3. In ...
- 1 April 2013
- Published by Taylor & Francis in Epigenetics
- Vol. 8 (4) , 409-420
Novel tumor suppressor candidates on chromosome 3 revealed by NotI-microarrays in cervical cancer
Genetic and epigenetic alterations in cervical carcinomas were investigated using NotI-microarrays containing 180 cloned sequences flanking all NotI-sites associated with genes on chromosome 3. In ...
- Open Access
- 18 October 2012
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 13 (10) , 13352-13377
NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.
- 18 October 2012
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 13 (10) , 13352-13377
Open AccessNotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 ± 11)% and specificity (94 ± 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 ± 13)% and the specificity is (88 ± 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.
- 1 May 2012
- Published by Taylor & Francis in Epigenetics
- Vol. 7 (5) , 502-513
Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays
This study aimed to clarify genetic and epigenetic alterations that occur during lung carcinogenesis and to design perspective sets of newly identified biomarkers. The original method includes chro...
- 1 May 2012
- Published by Taylor & Francis in Epigenetics
- Vol. 7 (5) , 502-513
Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays
This study aimed to clarify genetic and epigenetic alterations that occur during lung carcinogenesis and to design perspective sets of newly identified biomarkers. The original method includes chro...
- Open Access
- 23 May 2011
- Published by Springer Nature in Oncogene
- Vol. 30 (47) , 4697-4706
Inactivation of the von Hippel–Lindau tumor suppressor leads to selective expression of a human endogenous retrovirus in kidney cancer
A human endogenous retrovirus type E (HERV-E) was recently found to be selectively expressed in most renal cell carcinomas (RCCs). Importantly, antigens derived from this provirus are immunogenic, stimulating cytotoxic T cells that kill RCC cells in vitro and in vivo. Here, we show HERV-E expression is restricted to the clear cell subtype of RCC (ccRCC) characterized by an inactivation of the von Hippel–Lindau (VHL) tumor-suppressor gene with subsequent stabilization of hypoxia-inducible transcription factors (HIFs)-1α and -2α. HERV-E expression in ccRCC linearly correlated with HIF-2α levels and could be silenced in tumor cells by either transfection of normal VHL or small interfering RNA inhibition of HIF-2α. Using chromatin immunoprecipitation, we demonstrated that HIF-2α can serve as transcriptional factor for HERV-E by binding with HIF response element (HRE) localized in the proviral 5′ long terminal repeat (LTR). Remarkably, the LTR was found to be hypomethylated only in HERV-E-expressing ccRCC while other tumors and normal tissues possessed a hypermethylated LTR preventing proviral expression. Taken altogether, these findings provide the first evidence that inactivation of a tumor suppressor gene can result in aberrant proviral expression in a human tumor and give insights needed for translational research aimed at boosting human immunity against antigenic components of this HERV-E.
- 23 May 2011
- Published by Springer Nature in Oncogene
- Vol. 30 (47) , 4697-4706
Open AccessInactivation of the von Hippel–Lindau tumor suppressor leads to selective expression of a human endogenous retrovirus in kidney cancer
A human endogenous retrovirus type E (HERV-E) was recently found to be selectively expressed in most renal cell carcinomas (RCCs). Importantly, antigens derived from this provirus are immunogenic, stimulating cytotoxic T cells that kill RCC cells in vitro and in vivo. Here, we show HERV-E expression is restricted to the clear cell subtype of RCC (ccRCC) characterized by an inactivation of the von Hippel–Lindau (VHL) tumor-suppressor gene with subsequent stabilization of hypoxia-inducible transcription factors (HIFs)-1α and -2α. HERV-E expression in ccRCC linearly correlated with HIF-2α levels and could be silenced in tumor cells by either transfection of normal VHL or small interfering RNA inhibition of HIF-2α. Using chromatin immunoprecipitation, we demonstrated that HIF-2α can serve as transcriptional factor for HERV-E by binding with HIF response element (HRE) localized in the proviral 5′ long terminal repeat (LTR). Remarkably, the LTR was found to be hypomethylated only in HERV-E-expressing ccRCC while other tumors and normal tissues possessed a hypermethylated LTR preventing proviral expression. Taken altogether, these findings provide the first evidence that inactivation of a tumor suppressor gene can result in aberrant proviral expression in a human tumor and give insights needed for translational research aimed at boosting human immunity against antigenic components of this HERV-E.
- 26 April 2011
- Published by Pleiades Publishing Ltd in Molecular Biology
- Vol. 45 (2) , 211-220
RPN1, a new reference gene for quantitative data normalization in lung and kidney cancer
Quantitative methods of gene expression analysis in tumors require accurate data normalization, which allows comparison of different specimens with unknown mRNA/cDNA concentrations. For this purpose, reference genes with stable expression are used (e.g., GAPDH, ACTB, HPRT1, or TBP). The problem of choosing proper reference genes is still a topical issue, because well-known reference genes can be unsuitable for certain cancer types and their inappropriate use without additional testing can lead to wrong conclusions. A recently developed bioinformatical approach was employed to identify a new potential reference gene for lung and kidney tumors, RPN1, located on the long arm of chromosome 3. The method employed the mining of the dbEST and Oncomine databases and functional analysis of genes. RPN1 was selected from approximately 1500 candidate housekeeping genes. Using comparative genomic hybridization with NotI microarrays, we found no methylation, deletions, and/or amplifications in the RPN1-containing locus in 56 nonsmall cell lung and 42 clear cell renal cell cancer specimens. Real-time PCR showed that variation of RPN1 mRNA levels in nonsmall cell lung cancer and clear-cell renal cancer was low and comparable to that of the known reference genes GAPDH and GUSB, respectively. Expression levels of two hyalouronidase genes, HYAL1 and HYAL2, were assessed using the suggested references gene pairs (RPN1-GAPDH for lung cancer and RPN1-GUSB for kidney cancer), and these combinations were shown to produce accurate and reproducible data. These results suggest that RPN1 is a new, promising reference gene for quantitative data normalization in gene expression studies for lung and kidney cancers.
- 26 April 2011
- Published by Pleiades Publishing Ltd in Molecular Biology
- Vol. 45 (2) , 211-220
RPN1, a new reference gene for quantitative data normalization in lung and kidney cancer
Quantitative methods of gene expression analysis in tumors require accurate data normalization, which allows comparison of different specimens with unknown mRNA/cDNA concentrations. For this purpose, reference genes with stable expression are used (e.g., GAPDH, ACTB, HPRT1, or TBP). The problem of choosing proper reference genes is still a topical issue, because well-known reference genes can be unsuitable for certain cancer types and their inappropriate use without additional testing can lead to wrong conclusions. A recently developed bioinformatical approach was employed to identify a new potential reference gene for lung and kidney tumors, RPN1, located on the long arm of chromosome 3. The method employed the mining of the dbEST and Oncomine databases and functional analysis of genes. RPN1 was selected from approximately 1500 candidate housekeeping genes. Using comparative genomic hybridization with NotI microarrays, we found no methylation, deletions, and/or amplifications in the RPN1-containing locus in 56 nonsmall cell lung and 42 clear cell renal cell cancer specimens. Real-time PCR showed that variation of RPN1 mRNA levels in nonsmall cell lung cancer and clear-cell renal cancer was low and comparable to that of the known reference genes GAPDH and GUSB, respectively. Expression levels of two hyalouronidase genes, HYAL1 and HYAL2, were assessed using the suggested references gene pairs (RPN1-GAPDH for lung cancer and RPN1-GUSB for kidney cancer), and these combinations were shown to produce accurate and reproducible data. These results suggest that RPN1 is a new, promising reference gene for quantitative data normalization in gene expression studies for lung and kidney cancers.