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      Investigation of hub genes and their nonsynonymous single nucleotide polymorphism analysis in Plasmodium falciparum for designing therapeutic methodologies using next-generation sequencing approach

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          Abstract

          BACKGROUND:

          Incidences of resistance to current drugs by Plasmodium is increasing, hence, it is necessary to investigate and explore new drug targets to combat malarial disease.

          OBJECTIVE:

          Analysis of the transcriptome sequence information to characterize hub genes and their nonsynonymous single nucleotide polymorphisms (nsSNPs) to derive therapeutic objectives for Plasmodium falciparum.

          MATERIALS AND METHODS:

          Differentially expressed genes between Ring and other stages of P. falciparum were identified using Cufflinks tool. Using DAVID and KAAS programs, the gene ontology and pathway analysis were performed. The networks of protein-protein interaction (PPI) were developed by Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape, and the node degree in the network was calculated by using Network Analyzer, and MCODE plugins of Cytoscape. SIFT, PROVEAN, and PredictSNP programs were used to study the genetic variations, which affect protein functions.

          RESULTS:

          A list of 4196 nonredundant genes was used for functional annotation cluster analysis, and 8 significant hub genes have been picked from the PPI network using MCODE plugins of Cytoscape. Various nsSNPs were identified in these 8 hub genes and were investigated both for its native and mutant stage for solvent accessibility and alteration in secondary structure protein residues.

          CONCLUSION:

          Hub genes identified in this study serve as potential targets to develop therapy to suppress the pathogenic action of P. falciprum through experimental techniques.

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          Most cited references18

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          A generic method for assignment of reliability scores applied to solvent accessibility predictions

          Background Estimation of the reliability of specific real value predictions is nontrivial and the efficacy of this is often questionable. It is important to know if you can trust a given prediction and therefore the best methods associate a prediction with a reliability score or index. For discrete qualitative predictions, the reliability is conventionally estimated as the difference between output scores of selected classes. Such an approach is not feasible for methods that predict a biological feature as a single real value rather than a classification. As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score. Results An ensemble of artificial neural networks has been trained on a set of experimentally solved protein structures to predict the relative exposure of the amino acids. The method assigns a reliability score to each surface accessibility prediction as an inherent part of the training process. This is in contrast to the most commonly used procedures where reliabilities are obtained by post-processing the output. Conclusion The performance of the neural networks was evaluated on a commonly used set of sequences known as the CB513 set. An overall Pearson's correlation coefficient of 0.72 was obtained, which is comparable to the performance of the currently best public available method, Real-SPINE. Both methods associate a reliability score with the individual predictions. However, our implementation of reliability scores in the form of a Z-score is shown to be the more informative measure for discriminating good predictions from bad ones in the entire range from completely buried to fully exposed amino acids. This is evident when comparing the Pearson's correlation coefficient for the upper 20% of predictions sorted according to reliability. For this subset, values of 0.79 and 0.74 are obtained using our and the compared method, respectively. This tendency is true for any selected subset.
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            Yeast DNA polymerase epsilon participates in leading-strand DNA replication.

            Multiple DNA polymerases participate in replicating the leading and lagging strands of the eukaryotic nuclear genome. Although 50 years have passed since the first DNA polymerase was discovered, the identity of the major polymerase used for leading-strand replication is uncertain. We constructed a derivative of yeast DNA polymerase epsilon that retains high replication activity but has strongly reduced replication fidelity, particularly for thymine-deoxythymidine 5'-monophosphate (T-dTMP) but not adenine-deoxyadenosine 5'-monophosphate (A-dAMP) mismatches. Yeast strains with this DNA polymerase epsilon allele have elevated rates of T to A substitution mutations. The position and rate of these substitutions depend on the orientation of the mutational reporter and its location relative to origins of DNA replication and reveal a pattern indicating that DNA polymerase epsilon participates in leading-strand DNA replication.
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              Directional gene expression and antisense transcripts in sexual and asexual stages of Plasmodium falciparum

              Background It has been shown that nearly a quarter of the initial predicted gene models in the Plasmodium falciparum genome contain errors. Although there have been efforts to obtain complete cDNA sequences to correct the errors, the coverage of cDNA sequences on the predicted genes is still incomplete, and many gene models for those expressed in sexual or mosquito stages have not been validated. Antisense transcripts have widely been reported in P. falciparum; however, the extent and pattern of antisense transcripts in different developmental stages remain largely unknown. Results We have sequenced seven bidirectional libraries from ring, early and late trophozoite, schizont, gametocyte II, gametocyte V, and ookinete, and four strand-specific libraries from late trophozoite, schizont, gametocyte II, and gametocyte V of the 3D7 parasites. Alignment of the cDNA sequences to the 3D7 reference genome revealed stage-specific antisense transcripts and novel intron-exon splicing junctions. Sequencing of strand-specific cDNA libraries suggested that more genes are expressed in one direction in gametocyte than in schizont. Alternatively spliced genes, antisense transcripts, and stage-specific expressed genes were also characterized. Conclusions It is necessary to continue to sequence cDNA from different developmental stages, particularly those of non-erythrocytic stages. The presence of antisense transcripts in some gametocyte and ookinete genes suggests that these antisense RNA may play an important role in gene expression regulation and parasite development. Future gene expression studies should make use of directional cDNA libraries. Antisense transcripts may partly explain the observed discrepancy between levels of mRNA and protein expression.
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                Author and article information

                Journal
                Indian J Pharmacol
                Indian J Pharmacol
                IJPharm
                Indian Journal of Pharmacology
                Wolters Kluwer - Medknow (India )
                0253-7613
                1998-3751
                Nov-Dec 2019
                16 January 2020
                : 51
                : 6
                : 389-399
                Affiliations
                [1] Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab, India
                Author notes
                Address for correspondence: Dr. Sudhakara M. Reddy, Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala - 147 004, Punjab, India. E-mail: msreddy@ 123456thapar.edu
                Article
                IJPharm-51-389
                10.4103/ijp.IJP_535_19
                6984025
                32029961
                c29ee25e-3ac2-4c74-8396-96f20d89f820
                Copyright: © 2020 Indian Journal of Pharmacology

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 18 September 2019
                : 18 October 2019
                : 23 December 2019
                Categories
                Research Article

                Pharmacology & Pharmaceutical medicine
                bioinformatics analysis,deleterious mutation,hub genes,malaria,next-generation sequencing approach,non-synonymous single nucleotide polymorphisms,plasmodium falciparum

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