Genomic and probiotic attributes of Lactobacillus strains from rice-based fermented foods of North Eastern India.

The probiotic attributes and genomic profiles of amylase-producing Lactobacillus strains from rice-based fermented foods of Meghalaya in the North-Eastern India were evaluated in the study. A preliminary screening of 17 lactic acid bacteria strains was performed based on their starch hydrolysis and glucoamylase activities. Out of 17 strains, 5 strains (L. fermentum KGL4, L. rhamnosus RNS4, L. fermentum WTS4, L. fermentum KGL2, and L. rhamnosus KGL3A) were selected for further characterization of different probiotic attributes. Whole-genome sequencing of two of the best strains was carried out using a shotgun sequencing platform based on their rich probiotic attributes. The EPS production was in the range of 2.89-3.92 mg/mL. KGL2 (41.5%) and KGL3A (41%) showed the highest antioxidant activity. The highest antibiotic susceptibility was exhibited by all the five Lactobacillus strains against ampicillin, ranging from 24.66 to 27.33 mm. The lactobacilli isolates used in the study could survive the simulated gastric/intestinal juices. Genomic characterization of KGL4 and KGL3A illustrated their possible adherence to the intestinal wall, specialized metabolic patterns, and possible role in boosting host immunity. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05633-8.

RNA-Interference-Mediated miR-122-Based Gene Regulation in Colon Cancer, a Structural In Silico Analysis.

The role of microRNA 122 (miR-122) in colorectal cancer (CRC) has not been widely investigated. In the current study, we aimed to identify the prominent gene and protein interactors of miR122 in CRC. Based on their binding affinity, these targets were chosen as candidate genes for the creation of miR122-mRNA duplexes. Following this, we examined the miRNA-mediated silencing mechanism using the gene-silencing complex protein Argonaute (AGO). Public databases, STRING, and GeneMANIA were utilized to identify major proteins and genes interacting with miR-122. DAVID, PANTHER, UniProt, FunRich, miRwalk, and KEGG were used for functional annotation, pathway enrichment, binding affinity analysis, and expression of genes in different stages of cancer. Three-dimensional duplexes of hub genes and miR-122 were created using the RNA composer, followed by molecular interaction analysis using molecular docking with the AGO protein. We analyzed, classified, and scrutinized 93 miR-122 interactors using various bioinformatic approaches. A total of 14 hub genes were categorized as major interactors of miR-122. The study confirmed the role of various experimentally documented miR-122 interactors such as MTDH (Q86UE4), AKT1 (P31749), PTPN1 (P18031), MYC (P01106), GSK3B (P49841), RHOA (P61586), and PIK3CG (P48736) and put forth several novel interactors, with AKT3 (Q9Y243), NCOR2 (Q9Y618), PIK3R2 (O00459), SMAD4 (P61586), and TGFBR1 (P36897). Double-stranded RNA duplexes of the strongest interactors were found to exhibit higher binding affinity with AGO. In conclusions, the study has explored the role of miR-122 in CRC and has identified a closely related group of genes influencing the prognosis of CRC in multiple ways. Further, these genes prove to be targets of gene silencing through RNA interference and might serve as effective therapeutic targets in understanding and treating CRC.

In silico analysis and prediction of transcription factors of the proteins interacting with astrocyte elevated gene-1.

Multifunctional in nature, the protein Astrocyte Elevated Gene-1 (AEG-1) controls several cancers through protein-protein interactions. Although, specific physiological processes and molecular functions linked with AEG-1 interactors remain unclear. In our present study, we procured the data of AEG-1 interacting proteins and evaluated their biological functions, associated pathways, and interaction networks using bioinformatic tools. A total of 112 proteins experimentally detected to interact with AEG-1 were collected from various public databases. DAVID 6.8 Online tool was utilized to identify the molecular functions, biological processes, cellular components that aid in understanding the physiological function of AEG-1 and its interactors in several cell types. With the help of integrated network analysis of AEG-1 interactors using Cytoscape 3.8.0 software, cross-talk between various proteins, and associated pathways were revealed. Additionally, the Enrichr online tool was used for performing enrichment of transcription factors of AEG-1 interactors' which further revealed a closely associated self-regulated interaction network of a variety of transcription factors that shape the expression of AEG-1 interacting proteins. As a whole, the study calls for better understanding and elucidation of the pathways and biological roles of both AEG-1 and its interactor proteins that might enable their application as biomarkers and therapeutic targets in various diseases in the very near future.

Bafilomycin-A1 and ML9 Exert Different Lysosomal Actions to Induce Cell Death.

OBJECTIVE: Bafilomycin-A1 and ML9 are lysosomotropic agents, irrespective of cell types. However, the mechanisms of lysosome targeting either bafilomycin-A1 or ML9 are unclear. METHODS: The present research has been carried out by different molecular and biochemical analyses like western blot, confocal imaging and FACS studies, as well as molecular docking. RESULTS: Our data shows that pre-incubation of neonatal cardiomyocytes with ML9 for 4h induced cell death, whereas a longer period of time (24h) with bafilomycin-A1 was required to induce an equivalent effect. Neither changes in ROS nor ATP production is associated with such death mechanisms. Flow cytometry, LC3-II expression levels, and LC3-GFP puncta formation revealed a similar lysosomotropic effect for both compounds. We used a molecular docking approach, that predicts a stronger inhibitory activity against V-ATPase-C1 and C2 domains for bafilomycin-A1 in comparison to ML9. CONCLUSION: Bafilomycin-A1 and ML9 are lysosomotropic agents, involved in cell death events. But such death events are not associated with ATP and ROS production. Furthermore, both the drugs target lysosomes through different mechanisms. For the latter, cell death is likely due to lysosomal membrane permeabilization and release of lysosomal proteases into the cytosol.

Differential interaction strategies of hepatitis c virus genotypes during entry - An in silico investigation of envelope glycoprotein E2 - CD81 interaction.

Hepatitis C Virus is a blood borne pathogen responsible for chronic hepatitis in more than 71 million people. Wide variations across strains and genotypes are one of the major hurdles in therapeutic development. While genotype 1 remains the most extensively studied and abundant strain, genotype 3 is more virulent and second most prevalent. This study aimed to compare differences in the glycoprotein E2 across HCV genotypes at nucleotide, protein and structural levels. Nucleotide sequences of E2 from 29 strains across genotypes 1a, 1b, 3a and 3b revealed a stark preference for C-richness which was attributed to a distinct bias for C-rich codons in genotype 1. Genotype 3 exhibited a similar preference to a lesser extent. Amino acid level comparison revealed majority of the changes at the C-terminal half of the proteins leaving the N-terminal region conspicuously conserved apart from the two hyper variable regions. Amino acid changes across genotypes were mostly polar-nonpolar alterations. In silico models of E2 glycoproteins and docking analysis with the energy minimized PDB-CD81 model revealed unique interacting residues in both E2 and CD81. While several CD81 binding residues were common for all four genotypes, number and composition of interacting residues varied. The interacting residues of E2 were however unique for each genotype. E2 of genotype 3a and CD81 had the strongest interaction. In conclusion this is the first comprehensive study comparing E2 sequences across genotypes 1a, 1b, 3a and 3b revealing stark genotype-specific differences which requires more extensive investigation.