[Plant Genome Sequencing: Modern Technologies and Novel Opportunities for Breeding].

The investigation of plant genomes is of great importance for basic research and practical breeding. In 1977, F. Sanger proposed a DNA sequencing method, which allowed the complete sequences of a number of genomes to be determined. Then high-throughput and cost-effective next-generation/second-generation sequencing methods, producing up to billions of short reads, made it possible to sequence genomes of a significant number of species and provided a breakthrough in plant genetic studies. Finally, third-generation sequencing technologies allowed the determination of single-molecule sequences up to a million nucleotides in length, which is key for high-quality genome assemblies. An important task is to obtain a pan-genome, which includes an entire set of nucleotide sequences presented in various genotypes of the same species. The sequencing of plant genomes made it possible to assess intraspecific polymorphism, identify key genes influencing the formation of significant features, and develop molecular markers of economically valuable traits and this has become the basis for the development of marker-assisted and genomic selection. This review provides information on the latest advances in sequencing technologies and the assembly of plant genomes, as well as the opportunities that they open up for basic and applied works.

[Functional Hypermethylation of ALDH1L1, PLCL2, and PPP2R3A in Colon Cancer].

DNA hypermethylation and mutations are key mechanisms for the downregulation of tumor suppressor genes. NotI-microarrays allowed us to detect hypermethylation and/or deletions in 180 NotI sites associated with 188 genes of human chromosome 3, in 24 paired (tumor/normal) colon samples. The most frequent aberrations (in more than 20% of tumor samples) were detected in the promoter regions of 20 genes. Expression and promoter methylation of these genes were analyzed using the data for paired colon samples from The Cancer Genome Atlas project. Three genes - ALDH1L1, PLCL2, and PPP2R3A - revealed a more than two-fold average decrease in expression and a negative correlation between mRNA level and promoter hypermethylation. The expression of these three genes was then evaluated in 30 paired colon samples by quantitative PCR. Frequent (in more than 60% of cases) and significant (5-9-fold on average) mRNA level decrease was found for each of the genes in the tumor samples. The results indicate a suppressor role of the ALDH1L1, PLCL2, and PPP2R3A genes in colon cancer, as well as functional significance of hypermethylation in the downregulation of these genes.

[CAX3 Gene is Involved in Flax Response to High Soil Acidity and Aluminum Exposure].

Understanding the molecular mechanisms of plant response to unfavorable conditions is necessary for the effective selection of tolerant genotypes. Earlier, using high-throughput transcriptome sequencing of flax plants after exposure to aluminum ions (Al^(3+)) and high soil acidity, we detected stress-induced alteration in the expression of several genes, including CAX3, which encodes Ca^(2+)/H^(+)-exchanger involved in calcium ion transport. Here we describe CAX3 mRNA levels in flax cultivars either tolerant (Hermes and TMP1919) or sensitive (Lira and Orshanskiy) to Al^(3+). Stress-induced increased expression of CAX3 was detected only in aluminum-tolerant flax cultivars. The product of CAX3 gene may participate in flax response to high soil acidity and high Al^(3+) concentration through Ca^(2+)-mediated intracellular regulation.

[Transcription Factor SAP30 Is Involved in the Activation of NETO2 Gene Expression in Clear Cell Renal Cell Carcinoma].

Clear cell renal cell carcinoma (ccRCC) is a common oncourological disease with a high mortality level. The incidence of this type of cancer is constantly increasing, while molecular mechanisms involved in the disease initiation and progression remain far from being fully understood. A problem of the search for novel markers is crucial for improvement of diagnosis and therapy of ccRCC. We have previously found that the disease is characterized by increased expression of the NETO2 gene. In the present study, we showed that isoform 1 (NM_018092.4) makes the main contribution to the upregulation of this gene. Using original CrossHub software, "The Cancer Genome Atlas" (TCGA) project data were analyzed to identify possible mechanisms of NETO2 gene activation in ccRCC. The absence of significant contribution of methylation to the increase of mRNA level of the gene was observed. At the same time, a number of genes encoding transcription factors, which could potentially regulate the expression of NETO2 in ccRCC, were identified. Three such genes (MYCBP, JMY, and SAP30) were selected for the further analysis of their mRNA levels in a set of ccRCC samples with quantitative PCR. We showed a significant increase in mRNA level of one of the examined genes, SAP30, and revealed its positive correlation with NETO2 gene expression. Thus, upregulation of NETO2 gene is first stipulated by the isoform 1 (NM_018092.4), and the probable mechanism of its activation is associated with the increased expression of SAP30 transcription factor.

[Suppression of NR0B2 gene in Clear Cell Renal Cell Carcinoma Is Associated with Hypermethylation of Its Promoter].

Clear cell renal cell carcinoma (ccRCC) is a common urologic malignancy. Understanding of the transcriptional regulation of oncogenes and tumor suppressor genes involved is critical for the development of the treatments for renal tumors. Using ccRCC subdivision of the TCGA dataset, we identified NR0B2 encoding orphan nuclear receptor as a tumor suppressor candidate in renal tissue. In independent cohort of primary renal tumors, quantitative PCR experiments confirmed significant suppression of NR0B2 mRNA in 86% of ccRCC samples studied. In 80% of these cases, we detected the hypermethylation of the NR0B2 pro-moter region. These results suggest that NR0B2 is a tumor suppressor gene in ccRCC, and that the hypermethylation of promoter region is the main mechanism of its downregulation.

[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 p16^(INK4A)-Cdk/cyclin D1-Rb and p53/p21^(Waf1) 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.

Normal vibrational modes of phospholipid bilayers observed by low-frequency Raman scattering.

Low-frequency Raman spectra of multilamellar vesicles made either of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) or 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) have been studied in a wide temperature range. Below 0^{∘}C two peaks are found at frequencies around 8-9 and 14-17cm^{-1} and attributed to the normal vibrational modes of the phospholipid bilayer, which are determined by the bilayer thickness and stiffness (elastic modulus). The spectral positions of the peaks depend on the temperature and the bilayer composition. It is suggested that the ratio of the intensities of the first and second peaks can serve as a measure of the interleaflet elastic coupling. The addition of cholesterol to the phospholipid bilayer leads to peak shift and broadening, which may be assigned to the composition heterogeneities commonly attributed to the lipid raft formation.

[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.

[Interaction of two tumor suppressors: Phosphatase CTDSPL and Rb protein].

Earlier we established that CTDSPL gene encoding small carboxy-terminal domain serine phosphatase can be considered a classical tumor suppressor gene. Besides, transfection of tumor cell line MCF-7 with CTDSPL led to the content decrease of inactive phosphorylated form of another tumor suppressor, retinoblastoma protein (Rb), and subsequently to cell cycle arrest at the G1/S boundary. This result implied that small phosphatase CTDSPL is able to specifically dephosphorylate and activate Rb protein. In order to add some fuel to this hypothesis, in the present work we studied the interaction of two tumor suppressors CTDSPL and Rb in vitro. GST pool-down assay revealed that CTDSPL is able to precipitate Rb protein from MCF-7 cell extracts, while surface plasmon resonance technique showed that interaction of the two proteins is direct. Results of this study reassert that phosphatase CTDSPL and Rb could be involved in the common mechanism of cell cycle regulation.

Temperature-Dependent Hydrocarbon Chain Disorder in Phosphatidylcholine Bilayers Studied by Raman Spectroscopy.

Raman scattering of five phosphatidylcholines [1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC), 1,2-dihexadecanoyl-sn-glycero-3-phosphocholine (DPPC), 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC), 1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLPC), and 1,2-dilignoceroyl-sn-glycero-3-phosphocholine (PC24)] was studied in a wide temperature range. These phospholipid bilayers differ in the temperature of the gel-fluid transition Tm (from -57 to +80 °C) and in the number of unsaturated bonds. For all lipids, the temperature dependence of both asymmetrical methylene stretching and C-C stretching bands provides evidence that the disordering processes occur significantly below Tm. Temperature onset of the decrease of Raman intensity of the asymmetrical methylene stretching band is the same for unsaturated lipids (DLPC, POPC, and DOPC), which was interpreted as the importance of packing defects in the bilayers of these phospholipids. The chain conformational order was characterized by Raman intensity of the high-frequency C-C stretching mode. An approach was used where the Raman intensity of this mode serves as a measure of hydrocarbon chains in the ground conformational state. Temperature dependence of the chains in the ground conformational state was well described by a simple model with the ground and two excited states: the kinked state and the highly disordered, fluidlike state.

[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.

[Downregulation of OGDHL expression is associated with promoter hypermethylation in colorectal cancer].

Cell metabolic reprogramming is one of the cancer hallmarks. Glycolysis activation, along with suppression of oxidative phosphorylation and, to a lower extent, the TCA cycle, occurs in the majority of malignant tumors. A bioinformatics search for the glucose metabolism genes that are differentially expressed in colorectal cancer (CC) was performed using the data of The Cancer Genome Atlas (TCGA) Project. OGDHL for an oxoglutarate dehydrogenase complex subunit, which is involved in the TCA cycle and is indirectly responsible for the induction of apoptosis, was identified as one of the most promising candidates. A quantitative PCR analysis showed, on average, an eightfold downregulation of OGDHL in 50% (15/30) of CC samples. Based on the TCGA data, promoter hypermethylation was assumed to be a major mechanism of OGDHL inactivation. Bisulfite sequencing identified the OGDHL promoter region (+327 ... +767 relative to the transcription start site) that is often methylated in CC samples with downregulated ODGHL expression (80%, 8/10) and is possibly crucial for gene inactivation. Thus, frequent and significant OGDHL downregulation due to hypermethylation of a specific promoter region was demonstrated for CC. The OGDHL promoter methylation pattern was assumed to provide a marker for differential diagnosis of CIMP+ (CpG island methylator phenotype) tumors, which display dense hypermethylation of the promoter region in many genes.

[Methylation in the Regulation of the Expression of Chromosome 3 and microRNA Genes in Clear-Cell Renal Cell Carcinomas].

The methylation of CpG islands in promoter regions, together with the interaction of miRNAs with the mRNAs of their target genes on the posttranscriptional level, are complex epigenetic mechanisms that perform the delicate and dynamic regulation of genes and signal transduction pathways in the cell. This review summarizes the results obtained by the authors, as well as the literature data, on the roles of methylation in regulating the protein-coding genes of chromosome 3 and a number of miRNA genes in clear-cell renal cell carcinomas. The results are based on the use of genomic NotI-microarrays (which allow the identification of both methylation and deletions in genes containing CpG islands) and on some other approaches. The application of NotI-microarray technology to the analysis of the chromosome-3 short arm, a region of frequent deletions in tumors, gave us the opportunity to identify many novel genes associated with kidney cancer pathogenesis. The relationship between alterations in the expression leyels and methylation of chromosome 3 genes, kidney cancer progression, and metastasis was shown. New microRNAs involved in kidney cancer pathogenesis were identified as well. The functions of microRNA genes methylated in kidney cancer were discussed.

[Evaluation of Gene Expression of Hexokinases in Colorectal Cancer with the Use of Bioinformatics Methods].

One of the hallmarks of cancer is the change of energy metabolism, mainly activation of glycolysis that occurs even at early stages of tumorigenesis. The glycolysis activation can be caused by overexpression of hexokinases, primarily HK1 and HK2. Colorectal cancer, which takes the third place in the cancer morbidity and mortality rates worldwide, is believed to be accompanied with overexpression of HK2, which is .considered a marker of poor prognosis. With the use of the developed CrossHub tool, we performed the analysis of the Cancer Genome Atlas RNA-Sequencing data, which, on the contrary, revealed the prevalence of the down-regulation of HK2 gene and only slight expression alterations in HK1 gene. The Cancer Genome Atlas is the largest resource in the field of molecular oncology that accumulated genomic, transcriptomic and methylomic data for thousands of sample of more than 20 cancers. The transcriptome analysis data for colorectal cancer (283 tumor samples and 41 matched normal samples) were in accord with the results of further qPCR expression level evaluation. Up-regulation of HK1 and HK2 genes was observed only in a part of samples: 12% for HK1 and 30% for HK2. At the same time, the HK2 mRNA level decrease was shown in 50% of cases. Correlation analysis revealed the consistency in HK1 and HK2 expression alterations (Spearman's rank correlation coefficient r(s) = 0.43, p < 0.01), that could be explained by common deregulation mechanisms of these genes in colorectal tumors. The HK3 expression level was significantly increased in 60% of samples. Most likely, just hexokinase 3 contributes significantly to the activation of glycolysis in colorectal cancer.

A new reliable reference gene UBA52 for quantitative real-time polymerase chain reaction studies in pyloric cecal tissues of the starfish Asterias rubens.

The starfish Asterias rubens is one of the most abundant echinoderm species in the White, Barents, North, and Baltic Seas. This species is an important component of marine ecosystems and a model object for certain biological studies, in particular those requiring quantitative estimation of gene expression. As a rule, expression at the transcriptional level is estimated by real-time qPCR using the ΔΔCt method, which allows the comparison of the copy number of target gene transcripts in samples with unknown mRNA/cDNA concentration. Application of this method requires normalization of the results relative to genes with stable expression levels (reference genes). The identification of reference genes is still a challenging task since data of this kind are missing for certain taxa, whereas the use of "standard" endogenous control genes without additional tests might lead to erroneous conclusions. We performed a preliminary analysis of the expression of many housekeeping genes in the pyloric ceca of A. rubens by high-throughput sequencing under normal and heat shock conditions. For one of them, the ubiquitin gene UBA52, low variation of expression (not greater than 2-fold) was shown using real-time qPCR. Tissues of pyloric ceca of normal adults and underyearlings and of adults after heat shock were used. The data obtained suggest that the UBA52 gene may be used as reference for normalization of gene expression at the mRNA level in the starfish A. rubens and probably in closely related species.

[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 ofgenes 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.

[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 oftransmssion. 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.

[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.

[Novel reference gene RPN1 for normalization of quantitative data in lung and kidney cancer].

Quantitative methods of gene expression analysis in tumors require accurate data normalization, which allows comparison of different mRNA/cDNA samples with unknown concentration. For this purpose reference genes with stable expression level (such as GAPDH, ACTB, HPRT1, TBP) are used. The choice of appropriate reference genes is still actual because well-known reference genes are not suitable for certain cancer types frequently and their unreasonable use without additional tests lead to wrong conclusions. We have developed the bioinformatic approach and selected a new potential reference gene RPN1 for lung and kidney tumors. This gene is located at the long arm of chromosome 3. Our method includes mining of the dbEST and Oncomine databases and functional analysis of genes. The RPN1 was selected from 1500 candidate housekeeping genes. Using comparative genomic hybridization with NotI-microarrays we found no methylation, deletions and/or amplifications at the RPN1-containing locus in 56 non-small cell lung and 42 clear cell renal cancer samples. Using RT-qPCR we showed low variability of RPN1 mRNA level comparable to those of reference genes GAPDH and GUSB in lung and kidney cancer. The mRNA levels of two target genes coding hyalouronidases--HYAL1 and HYAL2--were estimated and normalized relative to pair RPN1--GAPDH genes for lung cancer and RPN1--GUSB for kidney cancer. These combinations were shown to be optimal for obtaining accurate and reproducible data. All obtained results allow us to suggest RPN1 as novel reference gene for quantitative data normalization in gene expression studies for lung and kidney cancers.