Project description:EMG produced TPA metagenomics assembly of PRJEB30074 data set (Comparative metagenome analysis of normal and arsenic contaminated soils from ballia district, Uttar Pradesh, India).
Project description:Total RNA was purified from keratinocytes isolated from FFPE arsenic-induced skin lesion samples collected from individuals exposed to high concentrations of arsenic exceeding 50 ppb in drinking water in Murshidibad district of West Bengal, India.
Project description:This dataset comprises over 850 individuals recruited in Uttar Pradesh, India, including cases of rheumatic heart disease based on echocardiographic diagnosis and controls recruited on the basis of normal echocardiograms. For this analysis all available samples were genotyped using the Illumina HumanCore-24 BeadChip platform.
Project description:Kharchia local is an Indian tall landrace wheat cultivar. It is native to sodic-saline soils of Kharchia tehsil of the Pali district of Rajasthan, and is a line developed from selections from farmer's fields. It is the most salt tolerant wheat genotype found in India. No systematic study has been carried out in this direction so far. The gaps in understanding of the mechanism underlying salt tolerance limit our ability to improve the salt tolerance in other crop plants. Transcriptome analysis of Kharchia Local under salt stress will provide the insight into the genes involved in salinity tolerance.
Project description:Arsenic (As) is a toxic environmental contaminant and potential human carcinogen. Chronic intake of arsenic-contaminated water leads to arsenicosis that is a major public health problem in many parts of the world, including India and Bangladesh. Thus, the early detection of arsenic toxicity will greatly benefit patients. However, the detection of arsenicosis needs to be done early before onset of severe symptoms in which case the tools used for detection have to be both sensitive and reliable. In this context, the present study investigated plasma proteome changes in arsenic-exposed Labeo rohita, with the aim of identifying biomarkers for arsenicosis. Changes in the plasma proteome were investigated using gel-based proteomics technology. Using quantitative image analysis of the 2D protein profiles, unique protein spots were identified from the plasma proteome by MALDI-TOF-TOF-MS. Unique proteins identified included Apolipoprotein-A1 (Apo-A1), α-2 macroglobulin-like protein (A2ML), and transferrin. Highly up-regulated protein spots identified in plasma from arsenic-exposed fish were liver-specific, including Apo-A1, and A2ML consistent with liver damage. It is proposed that a combination of these proteins could serve as useful biomarkers of hepatotoxicity and chronic liver disease due to arsenic exposure.