Analysis of Temporal and Spatial Distribution and Large-Scale Circulation Features of Extreme Weather Events in Shanxi Province, China in Recent 30 Years

Extreme weather events such as persistent high temperatures, heavy rains or sudden cold waves in Shanxi Province in China have brought great losses and disasters to people’s production and life. It is of great practical significance to study the temporal and spatial distribution characteristics of extreme weather events and the circulation background field. We selected daily high temperature data (≥35°C), daily minimum temperature data and daily precipitation data (≥50 mm) from 109 meteorological stations in Shanxi Province, China from 1981 to 2010, then set the period in which the temperature is ≥35°C for more than 3 days as a high temperature extreme weather event, define the station in which 24 hour cumulative precipitation is ≥50 mm precipitation on a certain day (20 - 20 hours, Beijing time) as a rainstorm weather, and determine the cold air activity with daily minimum temperature dropped by more than 8°C for 24 hours, or decreased by 10°C for 48 h, and a daily minimum temperature of ≤4°C as a cold weather process. We statistically analyze the temporal and spatial characteristics and trends of high temperature, heavy rain and cold weather and the circulation background field. We count the number of extreme weather events such as persistent high temperatures, heavy rains and cold weather frosts in Shanxi, and analyze the temporal and spatial distribution characteristics, trends and general circulation background of extreme weather events. We analyze and find out the common features of the large-scale circulation background field in various extreme weather events. Through the study of the temporal and spatial distribution characteristics of extreme weather events in Shanxi, including persistent high temperature, heavy rain or sudden cold wave frost weather, we summarize the large-scale circulation characteristics of such extreme weather events. It will provide some reference for future related weather forecasting.

An iron-dependent form of non-canonical ferroptosis induced by labile iron

Ferroptosis is a recently identified iron-dependent form of nonapoptotic cell death characterized by reactive oxygen species(ROS) generation and lipid peroxidation.Here,we report a novel iron-dependent form of ferroptosis induced by labile iron and investigate the mechanism underlying this process.We find that labile iron-induced ferroptosis is distinct from canonical ferroptosis and is linked to the mitochondrial pathway.Specifically,the mitochondrial calcium uniporter mediates the ferroptosis induced by labile iron.Interestingly,cells undergoing labile iron-induced ferroptosis exhibit cytoplasmic features of oncosis and nuclear features of apoptosis.Furthermore,labile iron-induced ferroptosis involves a unique set of genes.Finally,labile ironinduced ferroptosis was observed in liver subjected to acute iron overload in vivo.Our study reveals a novel form of ferroptosis that may be implicated in diseases caused by acute injury.

Cancer biology deciphered by single-cell transcriptomic sequencing

Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune,endothelial,and stromal cells.Cancer biology had been studied using bulk genomic and gene expression profiling,which however mask the cellular diversity and average the variability among individual molecular programs.Recent advances in single-cell transcriptomic sequencing have enabled a detailed dissection of tumor ecosystems and promoted our understanding of tumorigenesis at single-cell resolution.In the present review,we discuss the main topics of recent cancer studies that have implemented singlecell RNA sequencing(scRNA-seq).To study cancer cells,scRNA-seq has provided novel insights into the cancer stem-cell model,treatment resistance,and cancer metastasis.To study the tumor microenvironment,scRNA-seq has portrayed the diverse cell types and complex cellular states of both immune and non-immune cells interacting with cancer cells,with the promise to discover novel targets for future immunotherapy.