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1

Identification of differential proteins of mungbean cotyledons during seed germination: a proteomic approach

100%
Ghosh S., Pal A.
Acta Physiologiae Plantarum
|
2012
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tom 34
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nr 6
Proteomic analyses of seed germination, a complex physiological process is not yet explored in leguminous plants. Such study has been undertaken to reveal the variations that occur in cotyledonary proteins during seed gemination of mungbean (Vigna radiata L. Wilczek).Cotyledonswere harvested for protein extraction and two dimensional gel electrophoreses at two developmental stages (I and II) of seed germination. Comparative qualitative and quantitative analyses between these two stages revealed differential expressions and de novo appearance or disappearance of proteins. Seventy-four proteins were identified by MALDI-TOF-MS and MS/MS and categorized according to their functions including metabolism and energy production, stress related, protein processing, transcription, storage etc. Majority of these proteins are associated with metabolisms indicating that cotyledons acquire an active metabolic state during seed germination. Many of the identified proteins were enzymes involved in starch and sucrose metabolism and those of glycolysis, tricarboxylic acid cycle etc. A pathway illustrating starch synthesis/breakdown, degradation of sucrose and the fates of reducing sugars in the germinating mungbean cotyledons has been elucidated. Predominance of antioxidant enzymes can be attributed to combat with reactive oxygen species generated due to active metabolism. Thus, the study comprehensively dealt with mechanisms of stored reserve mobilization and the roles of additional cotyledonary proteins of mungbean essential for successful seed germination and seedling development.
2
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
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Malaria - the formidable enemy of humanity

100%
Pawar A., Pal A.
International Letters of Natural Sciences
|
2015
|
tom 43
Malaria, a disease caused by protozoan parasite of the genus Plasmodium, is an ancient enemy of the human race. Despite enormous efforts to control, it is still a main cause of morbidity and mortality in many endemic countries of the world, particularly Africa, South of Sahara. Malaria seems to be unstoppable due to lack of an effective vaccine, acquisition of drug-resistance by malaria parasite, and insecticide resistance by Anopheles mosquitoes. In this scenario, along with search for novel preventive approaches, adequate health facilities, health literacy and awareness among people are required to control and eliminate this formidable disease from society.
3
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Enhanced production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) copolymer by endophytic Bacillus cereus RCL 02 utilizing sugarcane molasses as sole source of carbon: a statistical optimization approach

81%
Das R., Pal A., Paul A. K.
BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
|
2022
|
tom 103
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nr 3
4
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
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To predict human Biomarker for the obesity using mouse homologous expression data at different theiler stages

81%
Kumar A., Puri R., Gupta K., Pal A.
International Letters of Natural Sciences
|
2015
|
tom 45
There are numerous genetic factors like MC4R (Melanocortin-4 receptor), POMC (Proopiomelanocortin), SIM1 (Single Minded Gene) etc. important in obesity, which can be used as biomarker. But more reliable diagnostic markers are the need for today, along with new therapeutic strategies that target specific molecules in the disease pathways. As in mouse and human genes, where mutations in one or both species are associated with some phenotypic characteristics as observed in human disease. In molecular mechanisms of development, differentiation, and disease gene expression data provide crucial insights. Up-regulation and down-regulation of selective genes can have major effects on diet-induced obesity, but there is little or no effect when animals are fed a low-fat diet. In present study we have studied the gene expression data of mouse at different theiler stages using GXD BioMart. The interacting partners and pathway of the genes that are already used as biomarker in mouse as well as in humans have been studied. A gene NPY1R (Neuropeptide Y1 receptor) was taken as common after STRING and KEGG results on the basis of biochemical pathways and interactions similar to MC4R. Our present work focuses on comparative genomics and proteomics analysis of NPY1R, which has led to identification of biomarker by comparing it with already known MC4R human and mouse biomarker. It has been concluded that both the proteins are structurally and functionally similar.
5
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Text mining approach to analyse the relation between obesity and breast cancer data

81%
Kumar A., Thakur P., Gupta K., Pal A.
International Letters of Natural Sciences
|
2015
|
tom 44
Biomedical research needs to leverage and exploit large amount of information reported in scientific publication. Literature data collected from publications has to be managed to extract information, transforms into an understandable structure using text mining approaches. Text mining refers to the process of deriving high-quality information from text by finding relationships between entities which do not show direct associations. Therefore, as an example of this approach, we present the link between two diseases i.e. breast cancer and obesity.Obesity is known to be associated with cancer mortality, but little is known about the link between lifetime changes in BMI of obese person and cancer mortality in both males and females. In this article, literature data for obesity and breast cancer was obtained using PubMed database and then methodologies which employs groups of common genes and keywords with their frequency of occurrence in the data were used, aimed to establish relation between obesity and breast cancer visualized using Pi-charts and bar graphs. From the data analysis, we obtained 1 gene which showed the link between both the diseases and validated using statistical analysis and disease-connect web server. We also proposed 8 common higher frequency keywords which could be used for indexing while searching the literature for obesity and breast cancer in combination.
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