Indian entrepreneurship in biotechnology comes of age

Biotechnology is one of the fastest growing, knowledge-driven industries in India and is expected to play a key role in shaping India’s rapidly developing economy. Since its inception in 1986 the Department of Biotechnology (DBT) has been guiding to foster growth of Indian biotechnology with a range of initiatives. Indian biotechnology industry registered over 3.0 billion USD revenue generation in 2009–10, which constitutes about 2 % share of the global biotechnology market. More than 300 companies are engaged in different biotechnology sectors in India, majority of which are clustered in western and southern regions. Biopharmaceuticals is the largest biotechnology sector in India with about 62 % market share. Bioservices ranked second due to the upward trend in a range of service oriented research activities. Bioagriculture recorded highest growth in 2009–10 and is dominated by insect resistant transgenic cotton. Bioindustrial, which deals with production of enzymes for different industrial uses, is the smallest biotechnology sector in India with 6 % revenue share.     

Buffalo Milk Casein Derived Decapeptide (YQEPVLGPVR) Having Bifunctional Anti-inflammatory and Antioxidative Features Under Cellular Milieu

International Journal of Peptide Research and Therapeutics - Antioxidants having anti-inflammatory potential will be useful in reducing the progression of many lifestyle associated diseases. Under...     

<Emphasis Type="Italic">O</Emphasis>-acetylation of sialic acids is required for the survival of lymphoblasts in childhood acute lymphoblastic leukemia (ALL)

Exploiting the selective affinity of Achatinin-H towards 9-O-acetylneuraminic acid(α2-6)GalNAc, we have demonstrated the presence of 9-O-acetylated sialoglycoproteins (Neu5,9Ac₂-GPs) on hematopoietic cells of children suffering from acute lymphoblastic leukemia (ALL), indicative of defective sialylation associated with this disease. The carbohydrate epitope of Neu5,9Ac₂-GPs_ALL was confirmed by using several synthetic sialic acid analogues. They are functionally active signaling molecules as demonstrated by their role in mediating lymphoproliferative responses and consequential increased production of IFN-γ due to specific stimulation of Neu5,9Ac₂-GPs on PBMC_ALL with Achatinin-H. Cells devoid of 9-O-acetylations (9-O-AcSA⁻) revealed decreased nitric oxide production as compared to 9-O-AcSA⁺ cells on exposure to IFN-γ. Under this condition, a decrease in viability of 9-O-AcSA⁻ cells as compared to 9-O-AcSA⁺ cells was also observed which was reflected from increased caspase 3 activity and apoptosis suggesting the protective role of this glycotope. These Neu5,9Ac₂-GPs are also capable of inducing disease-specific anti-Neu5,9Ac₂-GPs antibodies in ALL children. Additionally, we have observed that disease-specific anti-Neu5,9Ac₂-GPs have altered glycosylation profile, and they are incapable of exerting a few Fc-glycosylation-sensitive effector functions. These observations hint toward a disbalanced homeostasis, thereby enabling the cancer cells to escape host defense. Taken together, it may be hypothesized that Neu5,9Ac₂-GPs and their antibodies play a prominent role in promoting the survival of lymphoblasts in ALL.     

Correlation of circulatory immunoglobulin levels with Mu opiate receptor allele

Opiates are known to induce immunosuppression in their users (addicts). Evidences supporting their role in suppressing a variety of immunological end points in addicts have been reported by several investigators. In the present study, we investigated the changes in serum immunoglobulin (Ig) levels and their correlation with Mu opiate receptor (MOR) genotypes. Eighty-seven users and forty-five non-users were recruited for the study. Genomic DNA, isolated from the peripheral blood, was used for genotyping for C17T and A118G polymorphism using PCR-RFLP method. The frequency of A and G alleles in non-users was 89% and 11% respectively, whereas in addicts, it was 67% and 33% respectively. Case control analysis between groups revealed that 118G allele was associated with opioid dependence [Chi square (chi2) = 13.56, odds ratio (OR) = 3.90, confidence interval 95% (CI 95%) = 1.80-8.67, p = 0.000231]. C17T polymorphism showed no association with opioid dependence [(chi2) = 0.9, OR = 2.49, CI 95% = 0.528-16.12, p = 0.343]. Mean Ig levels, both IgG (student's t-test = 2.2738, p = 0.007) and IgA (student's t-test = 2.848, p = 0.0051) differed between opiate users and nonusers. IgG and IgA levels were also significantly different in individuals with different MOR genotypes. Immunosuppression was observed in AA genotype-bearing individuals, while no suppression was seen in AG and GG genotypes bearing individuals. In case of C17T polymorphism, both CC and CT genotypes bearing individuals showed immunosuppression, as judged by circulating Ig levels.     

Correction to: Selective anticancer activities of ruthenium(II)-tetrazole complexes and their mechanistic insights

BioMetals - A correction to this paper has been published: https://doi.org/10.1007/s10534-021-00321-0     

Membrane Bound Aminopeptidase B of a Potential Probiotic Pediococcus acidilactici NCDC 252: Purification,Physicochemical and Kinetic Characterization

International Journal of Peptide Research and Therapeutics - An arginine aminopeptidase (EC 3.4.11.6) called aminopeptidase B was purified to apparent homogeneity from membrane extract of a...     

Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease

Background

Alzheimer’s disease (AD) is one of the leading genetically complex and heterogeneous disorder that is influenced by both genetic and environmental factors. The underlying risk factors remain largely unclear for this heterogeneous disorder. In recent years, high throughput methodologies, such as genome-wide linkage analysis (GWL), genome-wide association (GWA) studies, and genome-wide expression profiling (GWE), have led to the identification of several candidate genes associated with AD. However, due to lack of consistency within their findings, an integrative approach is warranted. Here, we have designed a rank based gene prioritization approach involving convergent analysis of multi-dimensional data and protein-protein interaction (PPI) network modelling.

Results

Our approach employs integration of three different AD datasets- GWL,GWA and GWE to identify overlapping candidate genes ranked using a novel cumulative rank score (S_R) based method followed by prioritization using clusters derived from PPI network. S_R for each gene is calculated by addition of rank assigned to individual gene based on either p value or score in three datasets. This analysis yielded 108 plausible AD genes. Network modelling by creating PPI using proteins encoded by these genes and their direct interactors resulted in a layered network of 640 proteins. Clustering of these proteins further helped us in identifying 6 significant clusters with 7 proteins (EGFR, ACTB, CDC2, IRAK1, APOE, ABCA1 and AMPH) forming the central hub nodes. Functional annotation of 108 genes revealed their role in several biological activities such as neurogenesis, regulation of MAP kinase activity, response to calcium ion, endocytosis paralleling the AD specific attributes. Finally, 3 potential biochemical biomarkers were found from the overlap of 108 AD proteins with proteins from CSF and plasma proteome. EGFR and ACTB were found to be the two most significant AD risk genes.

Conclusions

With the assumption that common genetic signals obtained from different methodological platforms might serve as robust AD risk markers than candidates identified using single dimension approach, here we demonstrated an integrated genomic convergence approach for disease candidate gene prioritization from heterogeneous data sources linked to AD.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-199) contains supplementary material, which is available to authorized users.     

Plant regeneration through direct somatic embryogenesis from immature zygotic embryos of the medicinal plant,Paris polyphylla Sm.

A protocol for induction of direct somatic embryogenesis and subsequent plant regeneration for the medicinally important and endangered plant Paris polyphylla Sm. has been developed for the first time. Immature zygotic embryos (IZEs) were cultured on different media namely Gamborg (B5), ½ B5, Murashige and Skoog (MS), ½ MS, Chu et al. (N6), ½ N6, Schenk and Hildebrandt (SH) and ½ SH. Highest frequency of somatic embryogenesis (32.6 %) and mean number of somatic embryos (SEs) per explant (28.7 ± 1.7) were obtained on ½ MS medium directly without an intermediate callus phase. The frequency of SE induction was significantly increased to 40.7 % when ½ MS medium was solidified with gelrite compared to agar (32.6 %). Secondary somatic embryos (SSEs) appeared on the primary SEs in a repetitive way on plant growth regulator-free ½ MS medium but with a gradual decrease in embryogenic potential during subsequent subcultures. Plasmolyzing pre-treatment of SSEs with 1.0 M mannitol for 12 h effectively maintains its embryogenic capacity. Primary embryos at the elongated dimpled and early cotyledonary stage displayed the highest embryo forming capacity of 26.94 and 27.87, respectively. High frequency of SE germination (94.0 %) occurred on ½ MS medium with 0.5 mg/l gibberellic acid. Highest percentage of seedling to plantlet conversion was observed in the medium supplemented with 0.05 mg/l 6-benzylaminopurine and 0.1 mg/l α-naphthalene acetic acid. Regenerated plants displayed morphological characteristics similar to that of the wild plants. Flow cytometry analysis showed ploidy stability of the regenerated plants.