Statistics: Methods and Applications.

Context: The interpretation of novel missense variants is a challenge with increasing numbers of such variants being identified and a responsibility to report the findings in the context of all available scientific evidence. Various in silico bioinformatic tools have been developed that predict the likely pathogenicity of missense variants; however, their utility within the diagnostic setting requires further investigation. Aim: The aim of our study was to test the predictive value of two of these tools, sorting intolerant from tolerant (SIFT) and polymorphism phenotyping (PolyPhen), in a set of 141 missense variants (131 pathogenic, 8 benign) identified in the ABCC8, GCK, and KCNJ11 genes. Methods: Sixty-six of the mutations caused a gain of protein function, while 67 were loss-of-function mutations. The evolutionary conservation at each residue was also investigated using multiple sequence alignments from the UCSC genome browser. Results: The sensitivity of SIFT and PolyPhen was reasonably high (69% and...

Using SIFT and PolyPhen to Predict Loss-of-Function and Gain-of-Function Mutations

Cancer is a group of cells that malignantly grow and proliferate uncontrollably. At present, treatment modes for cancer mainly comprise surgery, chemotherapy, radiotherapy, molecularly targeted therapy, gene therapy, and immunotherapy. However, the curative effects of these treatments have been limited thus far by specific characteristics of tumors. Abnormal activation of signaling pathways is involved in tumor pathogenesis and plays critical roles in growth, progression, and relapse of cancers. Targeted therapies against effectors in oncogenic signaling have improved the outcomes of cancer patients. NFκB is an important signaling pathway involved in pathogenesis and treatment of cancers. Excessive activation of the NFκB-signaling pathway has been documented in various tumor tissues, and studies on this signaling pathway for targeted cancer therapy have become a hot topic. In this review, we update current understanding of the NFκB-signaling pathway in cancer.

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Role of the NFκB-signaling pathway in cancer

Resveratrol (3,4',5-trihydroxystilbene; C14H12O3) is a polyphenolic phytoalexin found in grapes, berries, peanuts, and wines. Resveratrol has been viewed as an antioxidant, anti-inflammatory, anti-apoptotic, and anticancer agent. Moreover, it has been reported that resveratrol modulates mitochondrial function, redox biology, and dynamics in both in vitro and in vivo experimental models. Resveratrol also attenuates mitochondrial impairment induced by certain stressors. Resveratrol upregulates, for example, mitochondria-located antioxidant enzymes, decreasing the production of reactive species by these organelles. Resveratrol also triggers mitochondrial biogenesis, ameliorating the mitochondria-related bioenergetics status in mammalian cells. In the present work, we discuss about the effects of resveratrol on brain mitochondria. Brain cells (both neuronal and glial) are susceptible to mitochondrial dysfunction due to their high demand for adenosine triphosphate (ATP). Additionally, brain cells consume oxygen (O2) at very high rates, leading to a proportionally high mitochondrial production of reactive species. Therefore, strategies focusing on the maintenance of mitochondrial function in these cell types are of pharmacological interest in the case of neurodegenerative diseases, which involve mitochondrial impairment and increased generation of reactive species, leading to neuroinflammation and cell death. The mechanism by which resveratrol protects mitochondrial function and dynamics is not completely understood, and further research would be necessary in order to investigate exactly how resveratrol affects mitochondria-related parameters. Furthermore, it is particularly important because resveratrol is able to induce cytotoxicity depending on its dosage.

Resveratrol and Brain Mitochondria: a Review

Nipah (Nee-pa) viral disease is a zoonotic infection caused by Nipah virus (NiV), a paramyxovirus belonging to the genus Henipavirus of the family Paramyxoviridae. It is a biosafety level-4 pathogen, which is transmitted by specific types of fruit bats, mainly Pteropus spp. which are natural reservoir host. The disease was reported for the first time from the Kampung Sungai Nipah village of Malaysia in 1998. Human-to-human transmission also occurs. Outbreaks have been reported also from other countries in South and Southeast Asia. Phylogenetic analysis affirmed the circulation of two major clades of NiV as based on currently available complete N and G gene sequences. NiV isolates from Malaysia and Cambodia clustered together in NiV-MY clade, whereas isolates from Bangladesh and India clusterered within NiV-BD clade. NiV isolates from Thailand harboured mixed population of sequences. In humans, the virus is responsible for causing rapidly progressing severe illness which might be characterized by severe respiratory illness and/or deadly encephalitis. In pigs below six months of age, respiratory illness along with nervous symptoms may develop. Different types of enzyme-linked immunosorbent assays along with molecular methods based on polymerase chain reaction have been developed for diagnostic purposes. Due to the expensive nature of the antibody drugs, identification of broad-spectrum antivirals is essential along with focusing on small interfering RNAs (siRNAs). High pathogenicity of NiV in humans, and lack of vaccines or therapeutics to counter this disease have attracted attention of researchers worldwide for developing effective NiV vaccine and treatment regimens.

Nipah virus: epidemiology, pathology, immunobiology and advances in diagnosis, vaccine designing and control strategies – a comprehensive review

Study of pathway cross-talk interactions with NF-κB leading to its activation via ubiquitination or phosphorylation: A brief review.

Persistent outbreaks of Nipah virus (NiV) with severe case fatality throw a major challenge on researchers to develop a drug or vaccine to combat the disease. With little knowledge of its molecular mechanisms, we utilized the proteome data of NiV to evaluate the potency of three major proteins (phosphoprotein, polymerase, and nucleocapsid protein) in the RNA-dependent RNA polymerase complex to count as a possible candidate for epitope-based vaccine design. Profound computational analysis was used on the above proteins individually to explore the T-cell immune properties like antigenicity, immunogenicity, binding to major histocompatibility complex class I and class II alleles, conservancy, toxicity, and population coverage. Based on these predictions the peptide 'ELRSELIGY' of phosphoprotein and 'YPLLWSFAM' of nulceocapsid protein were identified as the best-predicted T-cell epitopes and molecular docking with human leukocyte antigen-C (HLA-C*12:03) molecule was effectuated followed by validation with molecular dynamics simulation. The B-cell epitope predictions suggest that the sequence positions 421 to 471 in phosphoprotein, 606 to 640 in polymerase and 496 to 517 in nucleocapsid protein are the best-predicted regions for B-cell immune response. However, the further experimental circumstance is required to test and validate the efficacy of the subunit peptide for potential candidacy against NiV.

Epitope‐based immunoinformatics approach on RNA‐dependent RNA polymerase (RdRp) protein complex of Nipah virus (NiV)

Insight into pattern of codon biasness and nucleotide base usage in serotonin receptor gene family from different mammalian species.

Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB.

Plant carotenoid cleavage dioxygenase (CCD) catalyses the formation of industrially important apocarotenoids. Here, we applied codon-based classification for 72 CCD genes from 35 plant species using hierarchical clustering analysis. The codon adaptation index (CAI) and relative codon bias (RCB) were utilized to estimate the level of gene expression. The codon-based cluster tree result shows neatly clustered subclass of CCD genes except BoCCD1 gene of Bixa orellana. Correlation analysis of CAI values with RCB indicates an overall low-level expression of CCD across different species. Similarly, the closeness in the codon cluster with same CAI values was not reflected in 3-D structural report of selected CCD genes. These finding not only enhances our insights into the classification of CCD gene across the species but also identifies the critical factors responsible for this variation, which could aid in prediction of gene expression and function for newly reported CCD genes.

J. Febin Prabhu Dass

Papers

Study of pathway cross-talk interactions with NF-κB leading to its activation via ubiquitination or phosphorylation: A brief review.

Epitope‐based immunoinformatics approach on RNA‐dependent RNA polymerase (RdRp) protein complex of Nipah virus (NiV)

Insight into pattern of codon biasness and nucleotide base usage in serotonin receptor gene family from different mammalian species.

Non-canonical pathway network modelling and ubiquitination site prediction through homology modelling of NF-κB.

Gene Expression Prediction and Hierarchical Clustering Analysis of Plant CCD genes