Project description:This dataset is composed by the transcriptomic, proteomic and phosphoproteomic profile of primary human fibroblasts exposed to two different doses of radiation: an acute X-ray radiation dose, and an accumulative X-ray radiation dose. These data were employed to apply and evaluate different computational approaches to model and infer cellular signaling processes through the combination of prior knowledge and omic data. We employed RNA-Seq and Mass Spectrometry (MS) to generate the transcriptomic and proteomic data from the RNA and protein samples, respectively.
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.
