Systems-wide view of host-pathogen interactions across COVID-19 severities using integrated omics analysis.

The mechanisms explaining the variability in COVID-19 clinical manifestations (mild, moderate, and severe) are not fully understood. To identify key gene expression markers linked to disease severity, we employed an integrated approach, combining host-pathogen protein-protein interaction data and viral-induced host gene expression data. We analyzed an RNA-seq dataset from peripheral blood mononuclear cells across 12 projects representing the spectrum of disease severity.

Role of diosgenin extracted from L in suppression of HIV-1 replication: An preclinical study.

Background: Diosgenin, an essential sapogenin steroid with significant biological implications, is composed of a hydrophilic sugar moiety intricately linked to a hydrophobic steroid aglycone. While the antiviral properties of diosgenin against numerous RNA viruses have been extensively documented, its potential in combating Human Immunodeficiency Virus infections remains unexplored.

Experimental Procedure: This current investigation presents a comprehensive and systematic analysis of extracts derived from the leaves of , which are notably enriched with diosgenin.

Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R.

Deep learning has emerged as a powerful tool for solving complex problems, including reconstruction of gene regulatory networks within the realm of biology. These networks consist of transcription factors and their associations with genes they regulate. Despite the utility of deep learning methods in studying gene expression and regulation, their accessibility remains limited for biologists,  mainly due to the prerequisites of programming skills and a nuanced grasp of the underlying algorithms.

Prediction and Analysis of Transcription Factor Binding Sites: Practical Examples and Case Studies Using R Programming.

Transcription factors (TFs) bind to specific regions of DNA known as transcription factor binding sites (TFBSs) and modulate gene expression by interacting with the transcriptional machinery. TFBSs are typically located upstream of target genes, within a few thousand base pairs of the transcription start site. The binding of TFs to TFBSs influences the recruitment of the transcriptional machinery, thereby regulating gene transcription in a precise and specific manner.

Microbial colonization dynamics of the postnatal digestive tract of Bos indicus calves.

The rumen and the jejunum of calves have distinct functional roles; the former is in the storage and fermentation of feed, and the latter is in transporting digesta to the ileum. It is unknown how nutrition changes the evolution of the microbiome of these organs after birth. We sequenced and characterized the entire microbiome of the rumen and the jejunum from Bos indicus calves of the Mexican Tropics to study their dynamics at Days 0, 7, 28, and 42 after birth.

Centrality Analysis of Protein-Protein Interaction Networks Using R.

Proteins are structural and functional components of cells. They interact with each other to drive specific cellular functions. The physical and functional protein interactions are an important feature of cellular organization and regulation.

Search, Retrieve, Visualize, and Analyze Protein-Protein Interactions from Multiple Databases: A Guide for Experimental Biologists.

Functional annotation is lacking for over half of the proteins encoded in genomes and model or representative organisms are not an exception to this trend. One of the popular ways of assigning putative functions to uncharacterized proteins is based on the functions of well-characterized proteins that physically interact with them, i.e.

SARS-CoV-2 breakthrough infections during the second wave of COVID-19 at Pune, India.

Breakthrough infections following SARS-CoV-2 vaccination remain the global concern. The current study was conducted during the second wave of COVID-19 (1st March-7th July 2021) in Pune, India, at two tertiary care hospitals. Of the 6,159 patients diagnosed as COVID-19, 372/2,210 (16.

Human transcriptional gene regulatory network compiled from 14 data resources.

The transcriptional regulatory network (TRN) in a cell orchestrates spatio-temporal expression of genes to generate cellular responses for maintenance, reproduction, development and survival of the cell and its hosting organism. Transcription factors (TF) regulate the expression of their target genes (TG) and are the fundamental units of TRN. Several databases have been developed to catalogue human TRN based on low- and high-throughput experimental and computational studies considering their importance in understanding cellular physiology.

Evolutionary Perspective and Expression Analysis of Intronless Genes Highlight the Conservation of Their Regulatory Role.

The structure of eukaryotic genes is generally a combination of exons interrupted by intragenic non-coding DNA regions (introns) removed by RNA splicing to generate the mature mRNA. A fraction of genes, however, comprise a single coding exon with introns in their untranslated regions or are intronless genes (IGs), lacking introns entirely. The latter code for essential proteins involved in development, growth, and cell proliferation and their expression has been proposed to be highly specialized for neuro-specific functions and linked to cancer, neuropathies, and developmental disorders.

Mathematical Linear Programming to Model MicroRNAs-Mediated Gene Regulation Using Gurobi Optimizer.

Genes are transcribed into various RNA molecules, and a portion of them called messenger RNA (mRNA) is then translated into proteins in the process known as gene expression. Gene expression is a high-energy demanding process, and aberrant expression changes often manifest into pathophysiology. Therefore, gene expression is tightly regulated by several factors at different levels.

Mathematical Programming for Modeling Expression of a Gene Using Gurobi Optimizer to Identify Its Transcriptional Regulators.

The cell expresses various genes in specific contexts with respect to internal and external perturbations to invoke appropriate responses. Transcription factors (TFs) orchestrate and define the expression level of genes by binding to their regulatory regions. Dysregulated expression of TFs often leads to aberrant expression changes of their target genes and is responsible for several diseases including cancers.

Conserved and divergent expression dynamics during early patterning of the telencephalon in mouse and chick embryos.

The mammalian and the avian telencephalon are nearly indistinguishable at early embryonic vesicle stages but differ substantially in form and function at their adult stage. We sequenced and analyzed RNA populations present in mouse and chick during the early stages of embryonic telencephalon to understand conserved and lineage-specific developmental differences. We found approximately 3000 genes that orchestrate telencephalon development.

PDZ Domains Across the Microbial World: Molecular Link to the Proteases, Stress Response, and Protein Synthesis.

The PSD-95/Dlg-A/ZO-1 (PDZ) domain is highly expanded, diversified, and well distributed across metazoa where it assembles diverse signaling components by virtue of interactions with other proteins in a sequence-specific manner. In contrast, in the microbial world they are reported to be involved in protein quality control during stress response. The distribution, functions, and origins of PDZ domain-containing proteins in the prokaryotic organisms remain largely unexplored.

Cloning, characterization and transmission blocking potential of midgut carboxypeptidase A in Anopheles stephensi.

Transmission-blocking vaccines (TBV) interrupt malaria parasite transmission and hence form an important component for malaria eradication. Mosquito midgut exopeptidases such as aminopeptidase N & carboxypeptidase B have demonstrated TBV potential. In the present study, we cloned and characterized carboxypeptidase A (CPA) from the midgut of an important malarial vector, Anopheles stephensi.

Study of Invasive Pneumococcal Infection in Adults with Reference to Penicillin Resistance.

Background: Invasive pneumococcal infections often prove rapidly fatal, even where good medical treatment is readily available. In developed countries, up to 20% of people who contract pneumococcal meningitis die; however, in developing world, mortality is closer to 50%, even among hospitalized patients. The World Health Organization estimated 600,000-800,000 adult deaths each year from pneumococcal pneumonia, meningitis, and sepsis.

Tumor suppression in mice lacking GABARAP, an Atg8/LC3 family member implicated in autophagy, is associated with alterations in cytokine secretion and cell death.

GABARAP belongs to an evolutionary highly conserved gene family that has a fundamental role in autophagy. There is ample evidence for a crosstalk between autophagy and apoptosis as well as the immune response. However, the molecular details for these interactions are not fully characterized.

Bacteriological Profile of Neonatal Septicemia in a Tertiary Care Hospital from Western India.

Neonatal septicemia is an important cause of morbidity and mortality. The present study was undertaken to determine the bacteriological profile and antimicrobial susceptibility pattern of prevalent pathogens isolated from the blood of septicemic neonates from Neonatal Intensive Care Unit (NICU). A total of 180 blood samples of septicemic neonates were studied bacteriologically.

Camello, a novel family of Histone Acetyltransferases that acetylate histone H4 and is essential for zebrafish development.

In this study, we have investigated genome-wide occurrence of Histone Acetyltransferases (HATs) in genomes of Mus musculus and Danio rerio on the basis of presence of HAT domain. Our study identified a group of proteins that lacks characteristic features of known HAT families, relatively smaller in size and has no other associated domains. Most of the proteins in this unclassified group are Camello proteins, which are not yet known and classified as functional HATs.

Study of Aetiology and Anti-biogram of Uropathogens in Children-A Retrospective Analysis.

Objectives: Urinary Tract Infections (UTIs) are the most common serious bacterial infections which are seen during infancy. The aim of the present study was to evaluate aetiology, and antimicrobial resistance patterns among infants and children who approached our hospital for treatment of UTIs.

Methods: In this observational study which was carried out from 2007 to 2010, 1575 urine samples which were collected from children with suspected UTIs were studied.