A software program combining sequence motif searches with keywords for finding repeats containing DNA sequences

MOTIVATION: One of the most interesting features of genomes (both coding and non-coding regions) is the presence of relatively short tandemly repeated DNA sequences known as tandem repeats (TRs). We developed a new PC-based stand-alone software analysis program, combining sequence motif searches with keywords such as organs, tissues, cell lines or development stages for finding exact, inexact and compound, TRs. Tandem Repeats Analyzer 1.5 (TRA) has several advanced repeat search parameters/options over other repeat finder programs as it does not only accept GenBank, FASTA and expressed sequence tag (EST) sequence files but also does analysis of multifiles with multisequences. Advanced user-defined parameters/options let the researchers use different motif lengths search criteria for varying motif lengths simultaneously. The outputs show statistical results to be evaluated by the user. The discovery of TRs in ESTs could be useful for both gene mapping and association studies and discovering TRs located in coding regions of important genes that are expressed under various conditions of environment, stress, organ, tissue and development stage. RESULTS: In this paper, we demonstrated applications of TRA using 175 899 ESTs sequences for three Arabidopsis spp. downloaded from GenBank. The EST-SSRs/ESTs ratios were found 43.1%, 15.3% and 2.34% in A.lyrata, A.thaliana and A.halleri, respectively. Analysis revealed that organs, tissues and development stages possessed different amounts of repeats and repeat compositions. This indicated that the distribution of TRs among the tissues or organs may not be random differing from the untranscribed repeats found in genomes. AVAILABILITY: The program can be obtained free by anonymous FTP from ftp.akdeniz.edu.tr/Araclar/TRA.     

Carnosine supplementation protects rat brain tissue against ethanol-induced oxidative stress

Ethanol causes oxidative stress and tissue damage. The aim of this study was to investigate the effect of antioxidant carnosine on the oxidative stress induced by ethanol in the rat brain tissue. Forty male rats were divided equally into four groups as control, carnosine (CAR), ethanol (EtOH), and ethanol plus carnosine (EtOH + CAR). Rats in the control group (n = 10) were injected intraperitoneally (i.p.) with 0.9% saline; EtOH group (n = 10) with 2 g/kg/day ethanol, CAR group (n = 10) received carnosine at a dose of 1 mg/kg/day and EtOH + CAR group (n = 10) received carnosine (orally) and ethanol (i.p.). All animals were sacrificed using ketamine and brain tissues were removed. Malondialdehyde (MDA), protein carbonyl (PCO) and tissue carnosine levels, and superoxide dismutase (SOD) activities were measured. Endogenous CAR levels in the rat brain tissue specimens were significantly increased in the CAR and EtOH groups when compared to the control animals. MDA and PCO levels in the EtOH group were significantly increased as compared to the other groups (P < 0.05). CAR treatment also decreased MDA levels in the CAR group as compared to the control group. Increased SOD activities were obtained in the EtOH + CAR group as compared to the control (P < 0.05). CAR levels in the rat brain were significantly increased in the CAR, EtOH and CAR + EtOH groups when compared to the control animals. These findings indicated that carnosine may appear as a protective agent against ethanol-induced brain damage.     

Machine learning integration for predicting the effect of single amino acid substitutions on protein stability

Background  

Computational prediction of protein stability change due to single-site amino acid substitutions is of interest in protein design and analysis. We consider the following four ways to improve the performance of the currently available predictors: (1) We include additional sequence- and structure-based features, namely, the amino acid substitution likelihoods, the equilibrium fluctuations of the alpha- and beta-carbon atoms, and the packing density. (2) By implementing different machine learning integration approaches, we combine information from different features or representations. (3) We compare classification vs. regression methods to predict the sign vs. the output of stability change. (4) We allow a reject option for doubtful cases where the risk of misclassification is high.     

Antioxidant Lactobacilli Could Protect Gingival Fibroblasts Against Hydrogen Peroxide: A Preliminary In Vitro Study

Oxidative stress and tissue destruction are at the heart of periodontal diseases. The dental research area is geared toward the prevention of free radicals by nutrient antioxidants. Lactic acid bacteria (LAB) have recently attracted attention in alternative dental therapies. We aimed at highlighting the antioxidative property of Lactobacilli and Bifidobacterium strains and at determining their protective effect on gingival fibroblasts (GFs). Two Lactobacilli and 2 Bifidobacterium strains were screened for their exopolysaccharide (EPSs) production. Antioxidative assays were conducted by spectrophotometer analysis. Resistance to different concentrations of hydrogen peroxide (H₂O₂) was determined by the serial dilution technique. The protective effect of strains on GFs on hydrogen peroxide exposure was also examined by a new trypan blue exclusion assay method. Bifidobacterium breve A28 showed the highest EPS production (122 mg/l) and remarkable antioxidant activity, which were demonstrated by its ability to scavenge 72 % α,α-diphenyl-1-picrylhydrazyl free radical and chelate 88 % of iron ion, respectively. Inhibition of lipid peroxidation was determined as 71 % for the A28 strain. We suggest that LAB with antioxidative activity could be a good natural therapy agent for periodontal disorders.     

Bipartite structure of the inactive mouse X chromosome

BackgroundIn mammals, one of the female X chromosomes and all imprinted genes are expressed exclusively from a single allele in somatic cells. To evaluate structural changes associated with allelic silencing, we have applied a recently developed Hi-C assay that uses DNase I for chromatin fragmentation to mouse F1 hybrid systems.ResultsWe find radically different conformations for the two female mouse X chromosomes. The inactive X has two superdomains of frequent intrachromosomal contacts separated by a boundary region. Comparison with the recently reported two-superdomain structure of the human inactive X shows that the genomic content of the superdomains differs between species, but part of the boundary region is conserved and located near the Dxz4/DXZ4 locus. In mouse, the boundary region also contains a minisatellite, Ds-TR, and both Dxz4 and Ds-TR appear to be anchored to the nucleolus. Genes that escape X inactivation do not cluster but are located near the periphery of the 3D structure, as are regions enriched in CTCF or RNA polymerase. Fewer short-range intrachromosomal contacts are detected for the inactive alleles of genes subject to X inactivation compared with the active alleles and with genes that escape X inactivation. This pattern is also evident for imprinted genes, in which more chromatin contacts are detected for the expressed allele.ConclusionsBy applying a novel Hi-C method to map allelic chromatin contacts, we discover a specific bipartite organization of the mouse inactive X chromosome that probably plays an important role in maintenance of gene silencing.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-015-0728-8) contains supplementary material, which is available to authorized users.     

Clinical,radiological and computational studies on two novel GNPTG variants causing mucolipidosis III gamma phenotypes with varying severity

Molecular Biology Reports - Mucolipidosis III gamma (ML III γ) is a slowly progressive disorder that affects multiple parts of the body such as the skeleton, joints, and connective tissue...     

Investigation of the relationship between GSTM1 gene variations and serum trace elements,plasma malondialdehyde levels in patients with colorectal cancer

Background

The aim of this study is to investigate of the relationship between GSTM1 gene variations and serum trace elements, plasma malondialdehyde levels in patient with colorectal cancer.

Mateials and Methods.

Genotype distributions of GSTM1 gene variations were determined using real-time polymerase chain reaction method. Serum trace element levels were determined using atomic absorption spectrophotometer method and plasma MDA levels were measurement by spectrophotometric method.

Results

Serum Cu levels, plasma MDA levels and Cu/Zn ratio were determined significantly higher in the group of CRC patient carrying the GA heterozygous genotype of the GSTM1 (rs 112,778,559) gene variation compared to healthy controls (p?<?0.05). Serum Cu, Zn levels, plasma MDA levels and Cu/Zn ratio were determined significantly higher in patients carrying GG homozygous genotype of the GSTM1 (rs 112778559) gene variation compared to healthy controls carrying same genotype (p?<?0.05). Serum Cu, Zn levels, plasma MDA levels and Cu/Zn ratio were determined significantly higher in the group of CRC patient carrying the GG homozygous genotype of the GSTM1 (rs 12068997) gene variation compared to healthy controls (p?<?0.05). On the other hand, serum Se levels were detected significantly lower in CRC patients carrying GA heterozygous and GG homozygous genotypes for GSTM1 (rs 112,778,559) and (rs 12,068,997) gene variations compared to healthy controls (p?<?0.05).

Conclusion

In our study, the evaluation of serum Cu, Zn and Se trace element levels and plasma MDA levels according to GSTM1 gene variations genotype distributions were enabled to obtain important biomarkers in terms of CRC development and progression.