Mina Jahandideh; Ebrahim Barzegari
Abstract
MicroRNAs are interesting as cancer diagnostic and prognostic biomarkers because of their unique tissue expression profiles, higher stability in the blood in comparison to mRNAs, and the possibility for reliable quantification. In the case of prostate cancer (PCa), it is currently ...
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MicroRNAs are interesting as cancer diagnostic and prognostic biomarkers because of their unique tissue expression profiles, higher stability in the blood in comparison to mRNAs, and the possibility for reliable quantification. In the case of prostate cancer (PCa), it is currently emphasized to explore new biomarkers, particularly from microRNAs which are freely available in the bloodstream. In this study, the gene expression omnibus database (GEO), a repository of microarray data for PCa circulating extracellular vesicle-free microRNAs profiling, was analyzed for differentially expressed miRNAs (DE-miRs). Top 20 most differentially expressed miRs with significant (adjusted p-value < 0.01) high expression (fold change) levels were extracted by the simultaneous application of different filtering criteria. Then, microRNA-gene networks were constructed for the two sets of positively (n=20) or negatively (n=20) regulated miRNAs. Gene ontology annotations of the target gene sets were also extracted and analyzed. Results indicated that human miR-1587, miR-223-3p, miR-3125, and miR-642b-3p are highly significant DE-miRs in PCa. In addition, human miR-4459, miR-1273g, miR 642a-3p, and miR-642b-3p were identified as top-ranked hubs in the relevant miRNA-gene networks. FOXK1, PML, CD24, ATN1, BAZ2A, CDKN1A, NUFIP2, and HARNPU were identified as microRNA target genes with significant dysregulation. miR-4459, miR-1273g-3p, miR-3135b, miR-5001-5p, and miR-1587 were proposed as novel microRNAs with the potential to be utilized as diagnostic biomarkers of prostate cancer among circulating vesicle-free miRNAs.
Parisa Farrokh; Fatemeh Salimi
Abstract
Thermostable proteases are one of the pivotal enzymatic groups which play fundamental roles in biotechnologyrelated industries. The identification of bacterial thermostable enzymes through screening programs is a time and cost consuming process. So, extensive bioinformatics and experimental ...
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Thermostable proteases are one of the pivotal enzymatic groups which play fundamental roles in biotechnologyrelated industries. The identification of bacterial thermostable enzymes through screening programs is a time and cost consuming process. So, extensive bioinformatics and experimental studies have been conducted to reveal thermo stabilizing factors. The current study was aimed to evaluate distinctive indicators among 33 thermostable and 10 mesostable proteolytic enzymes. The frequency of individual amino acids, aliphatic indexes, melting temperatures, isoelectric points, as well as, the frequency of AXXXA and GXXXG motifs were determined and compared among these enzymes. In addition, types of proteolytic enzymes and their active sites were assigned. Moreover, the frequency of alpha helixes, polar surface regions, and packing volumes of these enzymes with the known structures were characterized. Results showed that the frequency of Ala and AXXXA motifs were significantly higher in thermostable proteolytic enzymes, while they possess lower contents of Met, His, Lys and Leu in comparison to mesostable enzymes (P<0.05). According to statistical analysis, thermostable proteolytic enzymes indicated meaningful lower packing volumes than mesostable enzymes (P<0.05). Findings of the current study in addition to more detailed investigations on the thermostability mechanisms of various protein families are essential for designing more efficient industrial enzymes with functional properties at high temperatures.
Mansour Ebrahimi; Esmaeil Ebrahimie; Narjes Rahpayma
Abstract
We used various screening techniques, clustering, decision tree and generalized rule induction (association) (GRI) models and molecular phylogenic relationship to search for patterns of halophi-licy and to find features contribute to halolysin salt stability. We found Met was the sole N-terminal amino ...
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We used various screening techniques, clustering, decision tree and generalized rule induction (association) (GRI) models and molecular phylogenic relationship to search for patterns of halophi-licy and to find features contribute to halolysin salt stability. We found Met was the sole N-terminal amino acid in halolysin proteins, whereas other amino acids found at this position of oth-er proteases and termitase. Eighty-three protein features were shown to be important in feature selection modeling, and just one peer group with an anomaly index of 2.42 declined to 1.87 after being run using only important selected features. The depth of the trees generated by various de-cision tree models varied from 1 to 5 branches. The number of peer groups in clustering models was reduced significantly (p
