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A comprehensive knowledge on systems biology of severe acute respiratory syndrome coronavirus 2 is crucial for differential diagnosis of COVID-19. Interestingly, the radiological and pathological features of COVID-19 mimic that of hypersensitivity pneumonitis (HP), another pulmonary fibrotic phenotype. This motivated us to explore the overlapping pathophysiology of COVID-19 and HP, if any, and using a systems biology approach. Two datasets were obtained from the Gene Expression Omnibus database (GSE147507 and GSE150910) and common differentially expressed genes (DEGs) for both diseases identified. Fourteen common DEGs, significantly altered in both diseases, were found to be implicated in complement activation and growth factor activity. A total of five microRNAs (hsa-miR-1-3p, hsa-miR-20a-5p, hsa-miR-107, hsa-miR-16-5p, and hsa-miR-34b-5p) and five transcription factors (KLF6, ZBTB7A, ELF1, NFIL3, and ZBT33) exhibited highest interaction with these common genes. Next, C3, CFB, MMP-9, and IL1A were identified as common hub genes for both COVID-19 and HP. Finally, these top-ranked genes (hub genes) were evaluated using random forest classifier to discriminate between the disease and control group (coronavirus disease 2019 [COVID-19] vs. controls, and HP vs. controls). This supervised machine learning approach demonstrated 100% and 87.6% accuracy in differentiating COVID-19 from controls, and HP from controls, respectively. These findings provide new molecular leads that inform COVID-19 and HP diagnostics and therapeutics research and innovation. [ABSTRACT FROM AUTHOR]

A library is an open system which in turn belongs to a subsystem of the education system, whose functions are dependent on the community concerned. The National Library plays a vital role in creating human resources and their development in our country. It is a life-long process in the appreciation of the achievement of humanity in knowledge and culture. It also helps in the replenishment of people's spirit by providing books for relaxation and pleasure, with assistance to the students. It performs a significant task in a developing country like India. The progress of a nation mainly depends on education, which provides to its citizens either through formal or non-formal means. In present study the behavioural pattern like their frequency of visit and dependence on the public library has been discussed with special reference to the National Library of India. The paper also explores the information seeking behaviour such as their purpose of visit, materials accessed during their visit to the National Library. The main objective of this study is to examine the services provided by National Library of India to its esteemed users. [ABSTRACT FROM AUTHOR]

The study shows a comparative analysis of five BRICS countries National Libraries. We have classified them on the basis of parameters such as their collection, Web2.0 applicability, virtual reference service, website covering language, visitors service, number of institutional repository, software used (digital library or content management software). The website security feature was also discussed as it plays an important role in securing user data. We have also included the user friendliness of impaired persons so that they can also access the websites with ease. The overall analysis found the total collection and rare collections of these national libraries. Most probably the National library of Brazil, Russia and India are more progressive than the other two countries such as China and South Africa. [ABSTRACT FROM AUTHOR]

The B-cell lymphoma/leukemia 11A protein (encoded by BCL11A gene) is a key regulator of fetal-to-adult hemoglobin switching as seen in post-natal life. Although genetic polymorphisms like SNPs in BCL11A gene are expected to affect fetal hemoglobin (HbF) expression levels, yet their implications are poorly studied. This study utilizes a computational approach to identify the deleterious SNPs which may affect the structure and function of BCL11A protein. The study also generated a 3D structure of native and mutants. The analysis identified two SNPs in BCL11A as highly deleterious: N391K and C414S which are expected to affect structure and stability of the protein. According to conservation analysis, both residues N391 and C414 were identified as highly conserved. Additionally, post-translational modification sites were predicted at both sites. Ligand binding sites were also predicted in N391 and C414. Therefore, N391K and C414S in BCL11A can considered as important candidates to mediate HbF variation. • In silico analysis of the deleterious SNPs in BCL11A. • Computational modelling of BCL11A protein. • N391K and C414S are expected to affect structure and stability of the BCL11A protein. [ABSTRACT FROM AUTHOR]

Therapeutic induction of fetal hemoglobin (HbF) is one of the most promising approaches to ameliorate the severity of hemoglobinopathies like β-thalassemia and sickle cell anemia. Although several pharmacological agents have been investigated for HbF induction in adults, the majority of these are associated with significant side-effects. While drug repurposing is known to open new doors for the use of approved drugs in unexplored clinical conditions, the primary challenge lies in identifying such candidates. In this study, we aimed to identify repurposing candidates for HbF induction using a novel in silico approach utilizing microRNA-pathway-drug relationships. A computational drug repurposing strategy identified several unique candidates for HbF induction; among which Curcumin, Ginsenoside, Valproate, and Vorinostat were found to be most suitable for future trials. This study identified new drug repurposing candidates for HbF induction and demonstrates an easily adaptable methodology that can be used for other pathophysiological conditions. • A computational drug repurposing strategy to induce HbF was developed. • MicroRNA-pathway-drug relations identified multiple candidates for HbF induction. • cGMP-PKG and MAPK pathways emerged as the most enriched pathways. • Curcumin, Ginsenoside, Valproate and Vorinostat were found suitable for HbF induction. [ABSTRACT FROM AUTHOR]

Abstract Diseases and pathological ailments are known to perplex clinicians and researchers with their varied clinical manifestations. Such variations are mostly attributed to the complex interplays between numerous molecular players and their modifiers. This complexity in turn baffles scientists further to tweak multiple players together when attempting to identify definitive therapeutic interventions. In this pursuit, researchers often tend to ignore one of the commonest known genetic variations – single nucleotide polymorphisms (SNPs) in non-coding genetic regions. In this study, we demonstrate how SNPs in critical genes and their miRNA regulators may play a crucial role in varied clinical manifestations using the beta-thalassemia clinical spectrum and fetal hemoglobin levels (HbF) as an illustration. A methodological approach using freely available bioinformatics tools was able to identify SNPs in pre-miRNA regions, pre-miRNA flanking regions and miRNA binding sites which in turn are expected to alter the translation process and thereby the expression of HbF. Highlights • Single nucleotide polymorphisms (SNPs) and clinical heterogeneity of diseases. • SNPs in critical genes and their miRNA regulators may play a crucial role in fetal hemoglobin variation in β-thalassemia. • A bioinformatics-based methodological approach to identify polymorphisms in various pre-miRNA & miRNA binding sites. [ABSTRACT FROM AUTHOR]

MicroRNAs (miRNAs) are well-known as key regulators of diverse biological pathways. A series of experimental evidences have shown that abnormal miRNA expression profiles are responsible for various pathophysiological conditions by modulating genes in disease associated pathways. In spite of the rapid increase in research data confirming such associations, scientists still do not have access to a consolidated database offering these miRNA-pathway association details for critical diseases. We have developed miRwayDB, a database providing comprehensive information of experimentally validated miRNA-pathway associations in various pathophysiological conditions utilizing data collected from published literature. To the best of our knowledge, it is the first database that provides information about experimentally validated miRNA mediated pathway dysregulation as seen specifically in critical human diseases and hence indicative of a cause-and-effect relationship in most cases. The current version of miRwayDB collects an exhaustive list of miRNA-pathway association entries for 76 critical disease conditions by reviewing 663 published articles. Each database entry contains complete information on the name of the pathophysiological condition, associated miRNA(s), experimental sample type(s), regulation pattern (up/down) of miRNA, pathway association(s), targeted member of dysregulated pathway(s) and a brief description. In addition, miRwayDB provides miRNA, gene and pathway score to evaluate the role of a miRNA regulated pathways in various pathophysiological conditions. The database can also be used for other biomedical approaches such as validation of computational analysis, integrated analysis and prediction of computational model. It also offers a submission page to submit novel data from recently published studies. We believe that miRwayDB will be a useful tool for miRNA research community. Database URL : http://www.mirway.iitkgp.ac.in [ABSTRACT FROM AUTHOR]

The various pathophysiological processes occurring in living systems are known to be orchestrated by delicate interplays and cross-talks between different genes and their regulators. Among the various regulators of genes, there is a class of small non-coding RNA molecules known as microRNAs. Although, the relative simplicity of miRNAs and their ability to modulate cellular processes make them attractive therapeutic candidates, their presence in large numbers make it challenging for experimental researchers to interpret the intricacies of the molecular processes they regulate. Most of the existing bioinformatic tools fail to address these challenges. Here, we present a new web resource 'miRnalyze' that has been specifically designed to directly identify the putative regulation of cell signaling pathways bymiRNAs. The tool integratesmiRNA-target predictions with signaling cascade members by utilizing TargetScanHuman 7.1 miRNA-target prediction tool and the KEGG pathway database, and thus provides researchers with in-depth insights into modulation of signal transduction pathways by miRNAs. miRnalyze is capable of identifying common miRNAs targeting more than one gene in the same signaling pathway--a feature that further increases the probability of modulating the pathway and downstream reactions when using miRNA modulators. Additionally, miRnalyze can sort miRNAs according to the seed-match types and TargetScan Contextþþscore, thus providing a hierarchical list of most valuable miRNAs. Furthermore, in order to provide users with comprehensive information regarding miRNAs, genes and pathways, miRnalyze also links to expression data of miRNAs (miRmine) and genes (TiGER) and proteome abundance (PaxDb) data. To validate the capability of the tool, we have documented the correlation of miRnalyze's prediction with experimental confirmation studies. [ABSTRACT FROM AUTHOR]

Hemoglobin E (HbE)/β-thalassemia is a form of β-hemoglobinopathy that is well-known for its clinical heterogeneity. Individuals suffering from this condition are often found to exhibit increased fetal hemoglobin (HbF) levels – a factor that may contribute to their reduced blood transfusion requirements. This study hypothesized that the high HbF levels in HbE/β-thalassemia individuals may be guided by microRNAs and explored their involvement in the disease pathophysiology. The miRNA expression profile of hematopoietic progenitor cells in HbE/β-thalassemia patients was investigated and compared with that of healthy controls. Using miRNA PCR array experiments, eight miRNAs (hsa-miR-146a-5p, hsa-miR-146b-5p, hsa-miR-148b-3p, hsa-miR-155-5p, hsa-miR-192-5p, hsa-miR-335-5p, hsa-miR-7-5p, hsa-miR-98-5p) were identified to be significantly up-regulated whereas four miRNAs (hsa-let-7a-5p, hsa-miR-320a, hsa-let-7b-5p, hsa-miR-92a-3p) were significantly down-regulated. Target analysis found them to be associated with several biological processes and molecular functions including MAPK and HIF-1 signaling pathways – the pathways known to be associated with HbF upregulation. Results of dysregulated miRNAs further indicated that miR-17/92 cluster might be of critical importance in HbF regulation. The findings of our study thus identify key miRNAs that can be extrinsically manipulated to elevate HbF levels in β-hemoglobinopathies. [ABSTRACT FROM AUTHOR]

Background: Age and obesity are dominant risk factors for several common cardiometabolic disorders, and both are known to impair adipose tissue function. However, the underlying cellular and genetic factors linking aging and obesity on adipose tissue function have remained elusive. Adipose stem and precursor cells (ASPCs) are an understudied, yet crucial adipose cell type due to their deterministic adipocyte differentiation potential, which impacts the capacity to store fat in a metabolically healthy manner. Methods: We integrated subcutaneous adipose tissue (SAT) bulk (n=435) and large single-nucleus RNA sequencing (n=105) data with the UK Biobank (UKB) (n=391,701) data to study age-obesity interactions originating from ASPCs by performing cell-type decomposition, differential expression testing, cell-cell communication analyses, and construction of polygenic risk scores for body mass index (BMI). Results: We found that the SAT ASPC proportions significantly decrease with age in an obesity-dependent way consistently in two independent cohorts, both showing that the age dependency of ASPC proportions is abolished by obesity. We further identified 76 genes (72 SAT ASPC marker genes and 4 transcription factors regulating ASPC marker genes) that are differentially expressed by age in SAT and functionally enriched for developmental processes and adipocyte differentiation (i.e., adipogenesis). The 76 age-perturbed ASPC genes include multiple negative regulators of adipogenesis, such as RORA, SMAD3, TWIST2, and ZNF521, form tight clusters of longitudinally co-expressed genes during human adipogenesis, and show age-based differences in cellular interactions between ASPCs and adipose cell types. Finally, our genetic data demonstrate that cis-regional variants of these genes interact with age as predictors of BMI in an obesity-dependent way in the large UKB, while no such gene-age interaction on BMI is observed with non-age-dependent ASPC marker genes, thus independently confirming our cellular ASPC results at the biobank level. Conclusions: Overall, we discover that obesity prematurely induces a decrease in ASPC proportions and identify 76 developmentally important ASPC genes that implicate altered negative regulation of fat cell differentiation as a mechanism for aging and directly link aging to obesity via significant cellular and genetic interactions. [ABSTRACT FROM AUTHOR]