To outsource or not to outsource!

In this article we will take a look at the phenomena of outsourcing as an overarching business concept that is, in short, about contracting of a specific bit of our business to a third part organisation. Consequently, outsourcing is a natural part of the make, share or buy continuum, as illustrated in Figure 1. We would, therefore, argue that outsourcing is not a new business phenomena as it has been commonly practiced since the early times of industrialisation, even though recently it has been enjoying renewed attention fuelled by the globalising forces

Tree species diversity, distribution and population structure in a tropical dry deciduous forests of Chhatisgarh, India

Tree species diversity, distribution and population structure of tropical forests of Bharnawapara wildlife sanctuary was investigated. The study analyzed the structure of a tropical dry deciduous forest in Chhatisgarh at different sites i.e. closed natural forest, open natural forest and plantation forests of teak. The study was conducted by laying 30 quadrats, each 10 m × 10 m in size at different sites. In total, 246 trees belonging to 28 species of 17 families were recorded from 0.3 ha sampling area. Density ranged between 520 to 990 trees ha-1 subsequently, basal area ranged between 21.50 to 47.30 m2 ha-1. The dominant tree species was Cleistanthus collinus with an importance value index (IVI) of 57.70. Other important species were Terminalia tometosa (IVI 47.10), Lagerstroemia parviflora (36.92), Diospyros melanoxylon (28.42) and Madhuca indica(26.03). The Shannon-Wiener index (H?) ranged between 0.19 to 3.35 and Simpson’s index (C) between 0.12 to 0.95 indicating high tree species diversity of tropical dry deciduous forests. It is evident from the study that natural forest has an edge over plantation forest in terms of species diversity, dominance and richness. Tree species diversity, distribution and population structure provide baseline information for conservation and management of tropical dry deciduous forests in India. Efforts are needed to conserve the natural forest for their diversity and existence. They can also be supplemented with plantation forests to lower the biotic pressure

Phosphoinositide 3-Kinase Signaling Pathway in Pancreatic Ductal Adenocarcinoma Progression, Pathogenesis, and Therapeutics

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by its sudden manifestation, rapid progression, poor prognosis, and limited therapeutic options. Genetic alterations in key signaling pathways found in early pancreatic lesions are pivotal for the development and progression of pancreatic intraepithelial neoplastic lesions into invasive carcinomas. More than 90% of PDAC tumors harbor driver mutations in K-Ras that activate various downstream effector-signaling pathways, including the phosphoinositide-3-kinase (PI3K) pathway. The PI3K pathway also responds to stimuli from various growth factor receptors present on the cancer cell surface that, in turn, modulate downstream signaling cascades. Thus, the inositide signaling acts as a central node in the complex cellular signaling networks to impact cancer cell growth, motility, metabolism, and survival. Also, recent publications highlight the importance of PI3K signaling in stromal cells, whereby PI3K signaling modifies the tumor microenvironment to dictate disease outcome. The high incidence of mutations in the PI3K signaling cascade, accompanied by activation of parallel signaling pathways, makes PI3K a promising candidate for drug therapy. In this review, we describe the role of PI3K signaling in pancreatic cancer development and progression. We also discuss the crosstalk between PI3K and other major cellular signaling cascades, and potential therapeutic opportunities for targeting pancreatic ductal adenocarcinoma

Ectopic expression of alkaline phosphatase in proximal tubular brush border membrane of human renal cell carcinoma

AbstractThe present study was conducted to find out any alteration in the expression and activity of alkaline phosphatase in the brush border membrane (BBM) from renal cell carcinoma (RCC) in comparison to normal renal BBM. The specific activity of alkaline phosphatase was drastically reduced in homogenate as well as BBM from RCC kidney when compared to ALP activity in BBM of normal kidney. Kinetic studies revealed that diminished activity of alkaline phosphatase in BBM isolated from RCC was fraternized with decrease in maximal velocity (Vmax) and increase in affinity constant (Km) of the enzyme. SDS-PAGE studies showed that the BBM proteins having molecular weights ranging from 95 to 170 kDa were poorly expressed in RCC BBM in relative to normal kidney BBM. Incubation of SDS-PAGE gel with BCIP/NBT dye clearly showed that the expression of ALP in tumor renal BBM was markedly reduced as compared to normal kidney. Further, Western blot analysis using anti-alkaline phosphatase antibody also confirmed the reduced expression of ALP in tumor renal BBM. Lipid composition in reference to phospholipids, glycolipids and cholesterol in tumor renal BBM was altered to that of normal renal BBM, indicating alteration in membrane fluidity of tumor renal BBM

Microscale Gene Expression Analysis of Tumor-Associated Macrophages

Macrophages, apart from being the key effector cells of the innate immune system, also play critical roles during the development and progression of various complex diseases, including cancer. Tumor-associated macrophages, infiltrate tumors during different stages of cancer progression to regulate motility, invasion, and intravasation to metastatic sites. Macrophages can exist in different polarization states associated with unique function in tumors. Since tumor-associated macrophages constitute a very small proportion of tumor cells, analysis of gene expression pattern using normal extraction buffer-based methods remains a challenging task. Therefore, it is imperative to develop low-throughput strategies to investigate transcriptional regulations from a small number of immune cells. Here, we describe an efficient, sensitive, and cost-effective approach for gene expression analysis of a small number of fluorescence-activated sorted tumor-associated macrophages. Our analyses from the different number of stable, primary, and sorted macrophages suggest 5,000 cells is an optimal number for performing quantitative, real-time PCR analysis of multiple genes. Our studies could detect expression of macrophage-specific genes from cultured primary macrophages, and FACS-sorted macrophages from different biological tissues without introducing biases in comparative gene expression ratios. In conclusion, our kit-based method for quantitative gene expression analysis from a small number of cells found in biological tissues will provide an opportunity to study cell-specific, transcriptional changes

ESTIMATION OF BIOMASS AND CARBON POOL IN BARKOT FOREST RANGE, UK USING GEOSPATIAL TOOLS

The forest ecosystem is an important carbon sink and source containing majority of the aboveground terrestrial organic carbon. Carbon management in forests is the global concern to mitigate the increased concentration of green house gases in the atmosphere. The present study estimated vegetation carbon pool and biophysical spectral modelling to correlate biomass with reflectance/ derivatives in Barkot Forest Range, Uttarakhand. The study was carried out using Cartosat-1, IRS-P6 LISS-IV MX, IRS LISS-III, Landsat 7 ETM satellite data and ground data collected from stratified random sampling. Forest type and forest crown density was mapped using resolution merged Cartosat-1 and LISS-IV imagery. Growing stock, biomass and carbon was calculated for the individual sample plots using inventory-based biomass assessment technique. Field-inventoried data was correlated with the surface reflectance and derivatives of it. Among the four vegetation types, viz. Shorea robusta, S. robusta mixed, S. robusta Tectona grandis mixed, T. grandis plantation, mixed plantation, Grassland and Agriculture/ orchard, the S.robusta was found to be the dominant vegetation in the area, covering 55.86 km2 of the total area. The study revealed that the S.robusta with high density had the highest aboveground biomass (AGB) (t/ha) was found in S.robusta > 70% (530 t ha−1), followed by S.robusta 40–70% (486 t ha−1) and minimum was found in mixed plantation < 10% (101  ha−1). The general trend showed the decrease in AGB with decrease of forest density in each forest type category. The average AGB of S. robusta T. grandis forest was found (308 t ha−1–458 t ha−1) due to the dominancy of S. robusta trees. The study highlighted the invaluable role of geospatial technology and field inventory for growing stock, biomass and carbon assessment

Comparative study on physical characteristics and nutritional composition of pumpkin (Cucurbita moschata) at different stages of maturity

Present day scientists are paying more attention towards developing new value-added products from underutilized crops for economic growth in agriculture system. Therefore, present experiment was undertaken to explicate the nutritional potential of pumpkin (Cucurbita moschata) at different stage of maturity until it is fully mature and ripe. Variation in different physico-biochemical properties,for example moisture content, sugars, titratable acidity (TA), crude proteins, crude fat, β-carotene, ascorbic acid, pectin and fibre in flesh, peel and seeds of fruit provides the better understanding for its utilization in preparation of various products. The firmness of pumpkin increased from 4.94 lbs/inch2 at 15 DAA (Days after antesis) to 22.50 lbs/inch2 at ripe stage during maturity. β-carotene content of flesh increased from 1.34 to13.30 mg/100g and 26.26 while quantity ascorbic acid in flesh of fruit declined from 26.46 to 13.16 mg/100 g at 15 DAA to ripe stage.In seeds crude fat increased from 5.43 to 50.24% and protein increase was found to be from 4.10 to 19.56%. Pectin content (as calcium pectate) of flesh and peel increased from 0.56 to 1.89 and 0.78 to 2.15%, respectively from 15 DAA to 45 DAA and at later stage it decreased. The knowledge about physic-chemical quality of pumpkin at different stage of maturity would help in selecting right stage of fruit maturity for its utilization in acceptable manner

Monocyte Metabolic Reprogramming Promotes Pro-Inflammatory Activity and Staphylococcus Aureus Biofilm Clearance

Biofilm-associated prosthetic joint infections (PJIs) cause significant morbidity due to their recalcitrance to immune-mediated clearance and antibiotics, with Staphylococcus aureus (S. aureus) among the most prevalent pathogens. We previously demonstrated that S. aureus biofilm-associated monocytes are polarized to an anti-inflammatory phenotype and the adoptive transfer of pro-inflammatory macrophages attenuated biofilm burden, highlighting the critical role of monocyte/macrophage inflammatory status in dictating biofilm persistence. The inflammatory properties of leukocytes are linked to their metabolic state, and here we demonstrate that biofilm-associated monocytes exhibit a metabolic bias favoring oxidative phosphorylation (OxPhos) and less aerobic glycolysis to facilitate their anti-inflammatory activity and biofilm persistence. To shift monocyte metabolism in vivo and reprogram cells to a pro-inflammatory state, a nanoparticle approach was utilized to deliver the OxPhos inhibitor oligomycin to monocytes. Using a mouse model of S. aureus PJI, oligomycin nanoparticles were preferentially internalized by monocytes, which significantly reduced S. aureus biofilm burden by altering metabolism and promoting the pro-inflammatory properties of infiltrating monocytes as revealed by metabolomics and RT-qPCR, respectively. Injection of oligomycin alone had no effect on monocyte metabolism or biofilm burden, establishing that intracellular delivery of oligomycin is required to reprogram monocyte metabolic activity and that oligomycin lacks antibacterial activity against S. aureus biofilms. Remarkably, monocyte metabolic reprogramming with oligomycin nanoparticles was effective at clearing established biofilms in combination with systemic antibiotics. These findings suggest that metabolic reprogramming of biofilm-associated monocytes may represent a novel therapeutic approach for PJI

Measurements of the transverse-momentum-dependent cross sections of J /ψ production at mid-rapidity in proton+proton collisions at s =510 and 500 GeV with the STAR detector

We present measurements of the differential cross sections of inclusive J/ψ meson production as a function of transverse momentum (pTJ/ψ) using the μ+μ- and e+e- decay channels in proton+proton collisions at center-of-mass energies of 510 and 500 GeV, respectively, recorded by the STAR detector at the Relativistic Heavy Ion Collider. The measurement from the μ+μ- channel is for

Bulk properties of the system formed in Au+Au collisions at sNN =14.5 GeV at the BNL STAR detector

We report systematic measurements of bulk properties of the system created in Au+Au collisions at sNN=14.5 GeV recorded by the STAR detector at the Relativistic Heavy Ion Collider (RHIC). The transverse momentum spectra of π±, K±, and p(p) are studied at midrapidity (|y|<0.1) for nine centrality intervals. The centrality, transverse momentum (pT), and pseudorapidity (η) dependence of inclusive charged particle elliptic flow (v2), and rapidity-odd charged particles directed flow (v1) results near midrapidity are also presented. These measurements are compared with the published results from Au+Au collisions at other energies, and from Pb+Pb collisions at sNN=2.76 TeV. The results at sNN=14.5 GeV show similar behavior as established at other energies and fit well in the energy dependence trend. These results are important as the 14.5-GeV energy fills the gap in μB, which is of the order of 100 MeV, between sNN=11.5 and 19.6 GeV. Comparisons of the data with UrQMD and AMPT models show poor agreement in general