Project description:Tibetan's adaptation to high-altitude environment at the Qinghai-Tibetan plateau represents a remarkable case of natural selection during recent human evolution. We generated time series paired RNAseq, ATACseq and Hi-C data in Tibetan and Han Chinese's umbilical endothelial cells from normoxia to hypoxia condition. Our results provide a broad resource of genome-wide hypoxia regulatory network to characterize the effect of genetic variation in high-altitude adaptation, and indicates large-scale maps of variants need proper cell types to understand its act on gene regulation.
Project description:Global warming substantially changes precipitation patterns in the Tibetan plateau, with projection of increased precipitation in southern and northern Tibet but decreased precipitation in the center. Understanding mechanisms of such changes in greenhouse gas emissions is of vital importance in predicting ecosystem feedbacks to climate changes. Nonetheless, it has been hampered by limited knowledge in soil microbial communities, one of the major drivers of greenhouse gas emission. Here, we report a field experiment simulating drying and wetting conditions in the Tibetan grassland. Our field site is located at the Haibei Alpine Grassland Ecosystem Research Station in the northeast of Tibet Plateau, China, and we employed GeoChip 5.0 180K to analyze microbial responses.