A. V. Kudryavtseva

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.

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 genes due to the high conservatism and evolutionary antiquity of the process. We studied the expression of these genes in kidney papillary cancer and planocellular lung cancer via the bioinformatic analysis of transcriptome database and method of quantitative real time PCR. Quantitative analysis of mRNA level demonstrated that only a part of genes that encode glycolysis enzymes maintain relatively stable mRNA level, including the HK1, ADPGK, GPI, PGK1, and PKM2 genes in kidney papillary cancer and the ADPGK, ALDOA, GAPDH, PGK1, BPGM, ENO1, and PKM2 genes in planocellular lung cancer. The frequent increase in the mRNA expression of PFKP, ALDOA, and GAPDH genes in kidney cancer, as well as the GPI gene in lung cancer, were detected for the first time by real time PCR. For other genes, their differential expression was demonstrated; the cases of both a decrease and increase in the mRNA level were detected. Thus, several genes that can be used as control genes in transcriptome analysis by real time PCR in kidney and lung cancer, as well as a number of differentially expressed genes that can be potential oncomarkers, were identified.

Increase in NETO2 gene expression is a potential molecular genetic marker in renal and lung cancers

Multiple changes in the genome, transcriptome, and proteome are frequent in cancer cells. A search for molecular markers based on DNA, mRNA, or proteins is a main method to develop early specific diagnostics for cancer. While universal markers are still unavailable, similar trends are known for the expression patterns of particular genes in certain epithelial tumors. A bioinformatic screening of transcriptomic databases identified the NETO2 gene as a new potential promising marker of renal cancer. A substantial increase in NETO2 mRNA level was detected in 90% clear-cell renal cell carcinomas, 70% of non-small cell lung cancers, and 50% of papillary renal cancers by real-time PCR. The NETO2 mRNA level was increased to a lesser extent in cervical carcinoma and colon cancer and tended to decrease in cancer of the stomach. The NETO2 gene, which codes for a membrane glycoprotein with an unclear function, was assumed to provide a new promising marker for early diagnosis in renal cancer and non-small cell lung cancer.

The role of microRNA in abiotic stress response in plants

Regulation of gene expression via microRNA is the key mechanism of response to biotic and abiotic stresses in plants. There are a lot of experimental data on the biological function of microRNAs in response to different stresses in various plant species. This review contains up-to-date information on molecular mechanisms of microRNA action in plants in response to abiotic stresses, including drought, salinity, mineral nutrient deficiency or imbalance.

Molecular genetic mechanisms of drug resistance in prostate cancer

The major problem in prostate cancer treatment is the development of drug resistance and especially important, cross-resistance. The mechanisms of drug resistance, which are divided into ligand-dependent (requiring the presence of androgens in the cell) and independent (not requiring the presence of androgens) are reviewed. The mechanisms are mainly represented with mutations of the androgen receptor and expression of aberrant constitutively active splice variants, as well as up-regulation of genes involved in androgens synthesis.

Genetic diversity and evolution of the influenza C virus

The influenza C virus is spread worldwide and causes diseases of the upper and (less frequently) lower respiratory tract in human. The virus is not pandemic, but it circulates together with pandemic influenza A and B viruses during winter months and has quite similar clinical manifestations. The influenza C virus is also encountered in animals (pigs and dogs) and is known to override the interspecific barriers of transmssion. The immune system of mammals often fails to recognize new antigenic variants of influenza C virus, which invariably arise in nature, resulting in outbreaks of diseases, although the structure of antigens in influenza C virus in general is much more stable than those of influenza viruses A and B. Variability of genetic information in natural isolates of viruses is determined by mutations, reassortment, and recombination. However, recombination events very rarely occur in genomes of negative-strand RNA viruses, including those of influenza, and virtually have no effect on their evolution. Unambiguous explanations for this phenomenon have thus far not been proposed. There is no proof of recombination processes in the influenza C virus genome. On the contrary, reassortant viruses derived from different strains of influenza C virus frequently appear in vitro and are likely to be common in nature. The genome of influenza C virus comprises seven segments. Based on the comparison of sequences in one of its genes (HEF), six genetic or antigenic lineages of this virus can be distinguished (Yamagata/26/81, Aichi/1/81, Mississippi/80, Taylor/1233/47, Sao Paulo/378/82, and Kanagawa/1/76). However, the available genetic data show that all the seven segments of the influenza C virus genome evolve independently.

Differential expression of an ensemble of the key genes involved in cell-cycle regulation in lung cancer

Targeted cancer therapy directed at individual targets is often accompanied by the rapid development of drug resistance. The development of a new generation of antitumor drugs involves the search for many targets simultaneously to block or, conversely, restore their activity. In this regard, simultaneous analysis of gene expression in a complex network of interactions, primarily cell cycle control elements, is relevant for the search of specific molecular markers for the differential diagnosis of adenocarcinoma (ADC) and squamous cell lung cancer (SCC), as well as new targets for therapy. In this paper we performed an extended quantitative analysis of the expression of two suppressor genes, CTDSPL and its target RB1, as well as 84 genes of the main participants of the p16INK4A-Cdk/cyclin D1-Rb and p53/p21Waf1 signaling pathways in the histological types of non-small-cell lung cancer (NSCLC), i.e., ADC and SCC, using the special panel of the Human Cell Cycle Regulation Panel. The expression profile of some genes shows the specificity to the histological type of NSCLC and the presence of metastases. The genes with a significantly increased expression that affect the activity of Rb (cyclins, cyclin-dependent kinases, their activators, inhibitors, etc.) can serve as potential targets for combined therapy of both ADC and SCC.

Biomarkers of prostate cancer sensitivity to the Sendai virus

Metastatic prostate cancer is often associated with either primary or intractable castration-resistant prostate cancer (CRPC), thus justifying the search for entirely new ways of treatment. Oncolytic viruses are able to selectively induce the death of tumor cells without affecting normal cells. A murine Sendai virus has potential to be used as an oncolytic agent. However, tumors vary in their sensitivity to different viruses, prompting us to attempt to identify corresponding biomarkers that reflect the interaction of cancer cells and the virus. Here, we show that the sensitivity of primary prostatic adenocarcinoma cell lines to Sendai virus strain (SeVM) vary substantially. Using quantitative PCR, we evaluated expression levels of genes that encode RIG-1-like and Toll-like receptors (TLRs) in cell lines and showed that the levels of mRNAs that encode TLR3 and TLR7 correlate with a degree of sensitivity of the cells to Sendai virus. The lines with lower levels of TLR3 and TLR7 expression are more sensitive to the virus.

Overexpression of microRNAs miR-9, -98, and -199 Correlates with the Downregulation of HK2 Expression in Colorectal Cancer

Glycolysis activation is one of the main features of energy metabolism in cancer cells that is associated with the increase in glycolytic enzyme synthesis, primarily, hexokinases (HKs), in many types of tumors. Conversely, in colorectal cancer (CRC) the decrease in the expression of HK2 gene, which encodes one of the key rate-limiting enzyme of glycolysis, was revealed, thus, the study of the mechanisms of its inhibition in CRC is of particular interest. To search for potential microRNAs, inhibiting the expression of HK2 in CRC, we have performed the analysis of data from “The Cancer Genome Atlas” (TCGA) and five microRNA–mRNA target interaction databases (TargetScan, DIANA microT, mirSVR (miRanda), PicTar, and miRTarBase) using original CrossHub software. Seven microRNAs containing binding site on mRNA HK2, which expression is negatively correlated with HK2 expression, were selected for further analysis. The expression levels of these microRNAs and mRNA HK2 were estimated by quantitative PCR on a set of CRC samples. It has been shown, that the expression of three microRNAs (miR-9-5p, -98-5p, and -199-5p) was increased and correlated negatively with mRNA level of HK2 gene. Thus, downregulation of HK2 gene may be caused by its negative regulation through microRNAs miR-9-5p, -98-5p, and -199-5p.

Identification of Fusion Transcripts in Leukеmic Cells by Whole-Transcriptome Sequencing

Genetic aberrations in leukemia often lead to the formation of expressed chimeric genes, which should be assessed for proper diagnosis and therapy. Modern methods of molecular diagnostic mainly allow to identify already known fusion genes. RNAseq is an efficient tool for identification of rare and novel chimeric transcripts. Here we present the results of the whole transcriptome analysis of bone marrow samples from five patients with acute myeloblastic leukemia and one, with myelodysplastic syndrome. The wholetranscriptome analysis was performed using Illumina/Solexa approach. We found rare or unknown chimeric transcripts including ETV6-MDS1, MN1-ETV6, OAZ1-PTMA, and MLLT10-GRIA4. Each of these transcripts was confirmed by RT-PCR and Sanger sequencing.