Protein mapping of Chaetomium globosum,a potential biological control agent through proteomics approach

Chaetomium globosum is a ubiquitous filamentous fungus having biological control properties. The potential isolates mycoparasitize the pathogen and produce antifungal metabolites which suppress the growth of pathogenic fungi. A proteomics approach was undertaken to separate and identify proteins from a mycoparasitic strain Cg1 of C. globosum under normal and heat shock conditions in order to identify differentially expressed proteins. We developed and standardized the procedure for extraction of total proteins and 2D gel electrophoresis, which resulted in profiling of more than 100 protein spots. 48 proteins were identified by a combination of matrix-assisted laser desorption/ ionization time-of-flight mass spectrometry (MALDI-TOF) and liquid chromatography mass spectrometry (LCMS/MS). Out of total proteins identified, 79 % were hypothetical proteins and 21 % proteins were functionally characterized. Out of total 79 % hypothetical proteins 24 % proteins matched with C. globosum while 18 % proteins matched with Aspergillus spp., 13 % with Coprinopsis cinerea, 10 % with Giberrella zaea, 8 % with Magnaporthe grisea and 5 % with Neurospora crassa and Lodderomyces elonisporus. Some of the functionally characterized proteins included MAP kinase, maltose permease, GTP binding protein, dyenin heavy chain, HET- C2, vacuolar Dig A protein, polyketide synthase, peptide prolyl cis trans isomerase and translation elongation factor. This study has generated a protein reference map for Chaetomium globosum, and being the first report on proteomics studies would greatly help to unravel biocontrol mechanism and its survival under heat stress conditions.     

Deficient IFN Signaling by Myeloid Cells Leads to MAVS-Dependent Virus-Induced Sepsis

The type I interferon (IFN) signaling response limits infection of many RNA and DNA viruses. To define key cell types that require type I IFN signaling to orchestrate immunity against West Nile virus (WNV), we infected mice with conditional deletions of the type I IFN receptor (IFNAR) gene. Deletion of the Ifnar gene in subsets of myeloid cells resulted in uncontrolled WNV replication, vasoactive cytokine production, sepsis, organ damage, and death that were remarkably similar to infection of Ifnar ^−/− mice completely lacking type I IFN signaling. In Mavs^−/−×Ifnar^−/− myeloid cells and mice lacking both Ifnar and the RIG-I-like receptor adaptor gene Mavs, cytokine production was muted despite high levels of WNV infection. Thus, in myeloid cells, viral infection triggers signaling through MAVS to induce proinflammatory cytokines that can result in sepsis and organ damage. Viral pathogenesis was caused in part by massive complement activation, as liver damage was minimized in animals lacking complement components C3 or factor B or treated with neutralizing anti-C5 antibodies. Disease in Ifnar ^−/− and CD11c Cre⁺ Ifnar ^f/f mice also was facilitated by the proinflammatory cytokine TNF-α, as blocking antibodies diminished complement activation and prolonged survival without altering viral burden. Collectively, our findings establish the dominant role of type I IFN signaling in myeloid cells in restricting virus infection and controlling pathological inflammation and tissue injury.     

Association of Common Genetic Variants with Lipid Traits in the Indian Population

Genome-wide association studies (GWAS) have been instrumental in identifying novel genetic variants associated with altered plasma lipid levels. However, these quantitative trait loci have not been tested in the Indian population, where there is a poorly understood and growing burden of cardiometabolic disorders. We present the association of six single nucleotide polymorphisms in 1671 sib pairs (3342 subjects) with four lipid traits: total cholesterol, triglycerides, high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). We also investigated the interaction effects of gender, location, fat intake and physical activity. Each copy of the risk allele of rs964184 at APOA1 was associated with 1.06 mmol/l increase in triglycerides (SE = 0.049; p = 0.006), rs3764261 at CETP with 1.02 mmol/l increase in both total cholesterol (SE = 0.042; p = 0.017) and HDL-C (SE = 0.041; p = 0.008), rs646776 at CELSR2-PSRC1-SORT1 with 0.96 mmol/l decrease in cholesterol (SE = 0.043; p = 0.0003) and 0.15 mmol/l decrease in LDL-C levels (SE = 0.043; p = 0.0003) and rs2954029 at TRIB1 with 1.02 mmol/l increase in HDL-C (SE = 0.039; p = 0.047). A combined risk score of APOA1 and CETP loci predicted an increase of 1.25 mmol/l in HDL-C level (SE = 0.312; p = 0.0007). Urban location and sex had strong interaction effects on the genetic association of most of the studied loci with lipid traits. To conclude, we validated four genetic variants (identified by GWAS in western populations) associated with lipid traits in the Indian population. The interaction effects found here may explain the sex-specific differences in lipid levels and their heritability. Urbanization appears to influence the nature of the association with GWAS lipid loci in this population. However, these findings will require replication in other Indian populations.     

Evaluation of Publicly Financed and Privately Delivered Model of Emergency Referral Services for Maternal and Child Health Care in India

Background

Emergency referral services (ERS) are being strengthened in India to improve access for institutional delivery. We evaluated a publicly financed and privately delivered model of ERS in Punjab state, India, to assess its extent and pattern of utilization, impact on institutional delivery, quality and unit cost.

Methods

Data for almost 0.4 million calls received from April 2012 to March 2013 was analysed to assess the extent and pattern of utilization. Segmented linear regression was used to analyse month-wise data on number of institutional deliveries in public sector health facilities from 2008 to 2013. We inspected ambulances in 2 districts against the Basic Life Support (BLS) standards. Timeliness of ERS was assessed for determining quality. Finally, we computed economic cost of implementing ERS from a health system perspective.

Results

On an average, an ambulance transported 3–4 patients per day. Poor and those farther away from the health facility had a higher likelihood of using the ambulance. Although the ERS had an abrupt positive effect on increasing the institutional deliveries in the unadjusted model, there was no effect on institutional delivery after adjustment for autocorrelation. Cost of operating the ambulance service was INR 1361 (USD 22.7) per patient transported or INR 21 (USD 0.35) per km travelled.

Conclusion

Emergency referral services in Punjab did not result in a significant change in public sector institutional deliveries. This could be due to high baseline coverage of institutional delivery and low barriers to physical access. Choice of interventions for reduction in Maternal Mortality Ratio (MMR) should be context-specific to have high value for resources spent. The ERS in Punjab needs improvement in terms of quality and reduction of cost to health system.     

RNA Expression Profiling of Human iPSC-Derived Cardiomyocytes in a Cardiac Hypertrophy Model

Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling. Here we utilize a previously established in vitro model of cardiac hypertrophy to interrogate the regulatory mechanism associated with the cardiac disease process. We perform miRNA sequencing and mRNA expression analysis on endothelin 1 (ET-1) stimulated hiPSC-CMs to describe associated RNA expression profiles. MicroRNA sequencing revealed over 250 known and 34 predicted novel miRNAs to be differentially expressed between ET-1 stimulated and unstimulated control hiPSC-CMs. Messenger RNA expression analysis identified 731 probe sets with significant differential expression. Computational target prediction on significant differentially expressed miRNAs and mRNAs identified nearly 2000 target pairs. A principal component analysis approach comparing the in vitro data with human myocardial biopsies detected overlapping expression changes between the in vitro samples and myocardial biopsies with Left Ventricular Hypertrophy. These results provide further insights into the complex RNA regulatory mechanism associated with cardiac hypertrophy.     

Locus minimization in breed prediction using artificial neural network approach

Molecular markers, viz. microsatellites and single nucleotide polymorphisms, have revolutionized breed identification through the use of small samples of biological tissue or germplasm, such as blood, carcass samples, embryos, ova and semen, that show no evident phenotype. Classical tools of molecular data analysis for breed identification have limitations, such as the unavailability of referral breed data, causing increased cost of collection each time, compromised computational accuracy and complexity of the methodology used. We report here the successful use of an artificial neural network (ANN) in background to decrease the cost of genotyping by locus minimization. The webserver is freely accessible ( http://nabg.iasri.res.in/bisgoat ) to the research community. We demonstrate that the machine learning (ANN) approach for breed identification is capable of multifold advantages such as locus minimization, leading to a drastic reduction in cost, and web availability of reference breed data, alleviating the need for repeated genotyping each time one investigates the identity of an unknown breed. To develop this model web implementation based on ANN, we used 51 850 samples of allelic data of microsatellite‐marker‐based DNA fingerprinting on 25 loci covering 22 registered goat breeds of India for training. Minimizing loci to up to nine loci through the use of a multilayer perceptron model, we achieved 96.63% training accuracy. This server can be an indispensable tool for identification of existing breeds and new synthetic commercial breeds, leading to protection of intellectual property in case of sovereignty and bio‐piracy disputes. This server can be widely used as a model for cost reduction by locus minimization for various other flora and fauna in terms of variety, breed and/or line identification, especially in conservation and improvement programs.     

Tumor necrosis factors alpha and beta differ in their capacities to generate interleukin 1 release from human endothelial cells

The capacity of the tumor necrosis factors, TNF-alpha and TNF-beta, products of activated macrophages and lymphocytes, respectively, to stimulate interleukin 1 (IL-1) release from endothelial cells derived from human umbilical veins was examined in vitro. Recombinant TNF-alpha caused IL-1 release by 4 hr with maximal levels of 17 U/ml by 24 hr; half-maximal stimulation occurred at approximately 80 pM. In contrast, recombinant TNF-beta was a relatively poor stimulus for IL-1 release. Even at concentrations as high as 600 pM, only 3 U of IL-1/ml were recovered; maximal IL-1 release (10 to 12 U/ml) required up to 5 nM TNF-beta. Natural, glycosated human TNF-beta was comparable in activity to recombinant TNF-beta. TNF-beta did not directly inhibit the IL-1 comitogenesis assay, nor was there evidence that TNF-beta induced the release of an IL-1 inhibitor, in that supernatants generated in the presence of TNF-beta did not inhibit thymocyte proliferation to a recombinant IL-1 standard. Binding of the recombinant TNF to endothelial monolayers was assessed by using [125I]TNF-alpha in competition studies with cold TNF-alpha and TNF-beta. Binding of TNF-alpha was half-maximal at 80 pM with an average of 664 receptors/cell and Kd = 0.043 nM. Although TNF-beta was capable of fully competing for [125I]TNF-alpha binding, half-maximal binding occurred at 800 pM TNF-beta. These data suggest that the TNF receptors on human endothelial cells may reflect the structural differences between these two homologous cytokines.