A systems biological approach reveals multiple crosstalk mechanism between gram-positive and negative bacterial infections: an insight into core mechanism and unique molecular signatures.

BACKGROUND: Bacterial infections remain a major threat and a leading cause of death worldwide. Most of the bacterial infections are caused by gram-positive and negative bacteria, which are recognized by Toll-like receptor (TLR) 2 and 4, respectively. Activation of these TLRs initiates multiple pathways that subsequently lead to effective immune response. Although, both the TLRs share common signaling mechanism yet they may exhibit specificity as well, resulting in the release of diverse range of inflammatory mediators which could be used as candidate biomolecules for bacterial infections. RESULTS: We adopted systems biological approach to identify signaling pathways mediated by TLRs to determine candidate molecules associated with bacterial infections. We used bioinformatics concepts, including literature mining to construct protein-protein interaction network, prioritization of TLRs specific nodes using microarray data and pathway analysis. Our constructed PPI network for TLR 2 (nodes: 4091 and edges: 66068) and TLR 4 (node: 4076 and edges: 67898) showed 3207 common nodes, indicating that both the TLRs might share similar signaling events that are attributed to cell migration, MAPK pathway and several inflammatory cascades. Our results propose the potential collaboration between the shared signaling pathways of both the receptors may enhance the immune response against invading pathogens. Further, to identify candidate molecules, the TLRs specific nodes were prioritized using microarray differential expressed genes. Of the top prioritized TLR 2 molecules, 70% were co-expressed. A similar trend was also observed within TLR 4 nodes. Further, most of these molecules were preferentially found in blood plasma for feasible diagnosis. CONCLUSIONS: The analysis reveals the common and unique mechanism regulated by both the TLRs that provide a broad perspective of signaling events in bacterial infections. Further, the identified candidate biomolecules could potentially aid future research efforts concerning the possibility in differential diagnosis of gram-positive and negative bacterial infections.

BiodEnz:A database of biodegrading enzymes.

UNLABELLED: Azo dyes, which re characterized by azo bonds, are a predominant class of colorants used in tattooing, cosmetics, foods, textile and consumer products. Laccases (EC 1.10.3.2), lignin peroxidases (EC 1.11.1.14) , Azo reductases (EC 1.7.1.6) of different micro organisms are mainly useful for the development of biodegradation systems as they catalyse reductive cleavage of azo groups (-N=N-) . Laccases have very broad substrate specificity with respect to the electron donor and is capable of oxidizing phenols and aromatic amines. Azoreductase belongs to the family of oxidoreductases, acting on other nitrogenous compounds as donors with NAD+ or NADP+ as acceptor. Lignin peroxidase enzymes are highly non-specific and are well reported to decolourize various dyes We have developed BiodEnz database by collecting information like strains that produce particular enzymes, azo dyes that are degraded , substrate specificity, molecular weight, the optimum temperature and pH, sequence data of the above enzymes ,as the most effective inoculants used for bioremediation are able to degrade dyes over a broad concentration range, tolerate a range of environmental conditions of temperature, pH, and activity of the enzymes. The database can be searched by using a user friendly web interface. AVAILABILITY: The database is available for free at http://www.biodenzdatabase.in.