Differential Expression of Proteins in Brain Regions of Alzheimer’s Disease Patients

Alzheimer’s disease (AD), a progressive neurodegenerative disorder and the most common form of dementia and cognitive impairment is usually characterized by neuritic amyloid plaques, cerebrovascular amyloidosis and neurofibrillary tangles. In order to find out the pathological protein expression, a quantitative proteome analysis of AD hippocampus, substantia nigra and cortex was performed and the extent of protein expression variation not only in contrast to age-matched controls but also among the understudied regions was analyzed. Expression alterations of 48 proteins were observed in each region along with significant co/contra regulation of malate dehydrogenase, lactate dehydrogenase B chain, aconitate hydratase, protein NipSnap homolog 2, actin cytoplasmic 1, creatine kinase U-type and glyceraldehyde-3-phosphate dehydrogenase. These differentially expressed proteins are mainly involved in energy metabolism, cytoskeleton integration, apoptosis and several other potent cellular/molecular processes. Interaction association network analysis further confirms the close interacting relationship between the co/contra regulated differentially expressed proteins among all the three regions. Elucidation of co/contra regulation of differentially expressed proteins will be helpful to understand disease progression and functional alterations associated with AD.     

3D Bioprinted cancer models: Revolutionizing personalized cancer therapy

After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses further limit the success of therapeutic interventions. Therefore, personalized medicines approach is key for this patient group involving molecular and genetic screening and appropriate stratification of patients to treatment regimen that they will respond to. However, the knowledge related to adequate risk stratification methods identifying patients who will respond to specific anti-cancer agents is still lacking in many cancer types. Recent advancements in three-dimensional (3D) bioprinting technology, have been extensively used to generate representative bioengineered tumor in vitro models, which recapitulate the human tumor tissues and microenvironment for high-throughput drug screening. Bioprinting process involves the precise deposition of multiple layers of different cell types in combination with biomaterials capable of generating 3D bioengineered tissues based on a computer-aided design. Bioprinted cancer models containing patient-derived cancer and stromal cells together with genetic material, extracellular matrix proteins and growth factors, represent a promising approach for personalized cancer therapy screening. Both natural and synthetic biopolymers have been utilized to support the proliferation of cells and biological material within the personalized tumor models/implants. These models can provide a physiologically pertinent cell–cell and cell–matrix interactions by mimicking the 3D heterogeneity of real tumors. Here, we reviewed the potential applications of 3D bioprinted tumor constructs as personalized in vitro models in anticancer drug screening and in the establishment of precision treatment regimens.     

Biological control of strawberry crown rot,root rot and grey mould by the beneficial fungus Aureobasidium pullulans

Utilization of biocontrol agents is a sustainable approach to reduce plant diseases caused by fungal pathogens. In the present study, we tested the effect of the candidate biocontrol fungus Aureobasidium pullulans (De Bary) G. Armaud on strawberry under in vitro and in vivo conditions to control crown rot, root rot and grey mould caused by Phytophthora cactorum (Lebert and Cohn) and Botrytis cinerea Pers, respectively. A dual plate confrontation assay showed that mycelial growth of P. cactorum and B. cinerea was reduced by 33–48% when challenged by A. pullulans as compared with control treatments. Likewise, detached leaf and fruit assays showed that A. pullulans significantly reduced necrotic lesion size on leaves and disease severity on fruits caused by P. cactorum and B. cinerea. In addition, greenhouse experiments with whole plants revealed enhanced biocontrol efficacy against root rot and grey mould when treated with A. pullulans either in combination with the pathogen or pre-treated with A. pullulans followed by inoculation of the pathogens. Our results demonstrate that A. pullulans is an effective biocontrol agent to control strawberry diseases caused by fungal pathogens and can be an effective alternative to chemical-based fungicides.

     

Determination of antimicrobial and phytochemical compounds of Jatropha curcas plant

The aim of this study was to explore the effectiveness of different parts of J. curcas plant against some selected human pathogens as antimicrobial agent which are known to cause diseases and to check antioxidant and phytochemicals from different plant sections of J. curcas. Plant extracts were analyzed by quantification of antimicrobial and phytochemical compounds. This study reveals that 20% ethanol stem extract of J. curcas showed maximum antibacterial activity (40 ± 0.0 mm) against Klebsiella pneumonia. Water extract of root of J. curcas also inhibited E. coli (35.25 ± 0.35 mm). The growth of K. pneumonia and Agrobacterium tumifaciens were also ceased when ethanol extract of J. curcas root applied to check their potential as antimicrobial agent. The results also revealed that fungal species, Aspergillus niger, and Pencillium notatum noted the maximum antifungal activity in ethanol extract of flower and methanol extract of root (38.5 ± 0.7 mm) and (27.25 ± 0.35 mm) respectively. Phytochemicals and many secondary metabolites were present in J. curcas extracts such as alkaloids, steroids, tannins, glycosides, flavonoids, saponins, courmerin, and phenolic compounds. It also showed the highest density of color in the different parts of plant extract of J. curcas. Similarly, biochemical primary metabolites were observed at maximum amount of biochemical in different parts of J. curcas, and correlated with antimicrobial activity. The study concluded that J. curcas has great potential as antibacterial agent and cure various human pathogens.     

A multi-layer trust-based middleware framework for handling interoperability issues in heterogeneous IOTs

Cluster Computing - Traditional wireless technologies have evolutionary converged to Internet of Thing (IoT) for devices and service interactions. In the past decade, the academia, industry 4.0 and...     

Genomewide scan for nonsyndromic cleft lip and palate in multigenerational Indian families reveals significant evidence of linkage at 13q33.1-34

Nonsyndromic cleft lip with or without cleft palate (CL-P) is a common congenital anomaly with incidence ranging from 1 in 300 to 1 in 2,500 live births. We analyzed two Indian pedigrees (UR017 and UR019) with isolated, nonsyndromic CL-P, in which the anomaly segregates as an autosomal dominant trait. The phenotype was variable, ranging from unilateral to bilateral CL-P. A genomewide linkage scan that used approximately 10,000 SNPs was performed. Nonparametric linkage (NPL) analysis identified 11 genomic regions (NPL>3.5; P<.005) that could potentially harbor CL-P susceptibility variations. Among those, the most significant evidence was for chromosome 13q33.1-34 at marker rs1830756 (NPL=5.57; P=.00024). This was also supported by parametric linkage; MOD score (LOD scores maximized over genetic model parameters) analysis favored an autosomal dominant model. The maximum LOD score was 4.45, and heterogeneity LOD was 4.45 (alpha =100%). Haplotype analysis with informative crossovers enabled the mapping of the CL-P locus to a region of approximately 20.17 cM (7.42 Mb) between SNPs rs951095 and rs726455. Thus, we have identified a novel genomic region on 13q33.1-34 that harbors a high-risk variant for CL-P in these Indian families.