The burning of crop residues in fields is a significant global biomass burning activity which is a key element of the terrestrial carbon cycle,and an important source of atmospheric trace gasses and aerosols.Accurate ...The burning of crop residues in fields is a significant global biomass burning activity which is a key element of the terrestrial carbon cycle,and an important source of atmospheric trace gasses and aerosols.Accurate estimation of cropland burned area is both crucial and challenging,especially for the small and fragmented burned scars in China.Here we developed an automated burned area mapping algorithm that was implemented using Sentinel-2 Multi Spectral Instrument(MSI)data and its effectiveness was tested taking Songnen Plain,Northeast China as a case using satellite image of 2020.We employed a logistic regression method for integrating multiple spectral data into a synthetic indicator,and compared the results with manually interpreted burned area reference maps and the Moderate-Resolution Imaging Spectroradiometer(MODIS)MCD64A1 burned area product.The overall accuracy of the single variable logistic regression was 77.38%to 86.90%and 73.47%to 97.14%for the 52TCQ and 51TYM cases,respectively.In comparison,the accuracy of the burned area map was improved to 87.14%and 98.33%for the 52TCQ and 51TYM cases,respectively by multiple variable logistic regression of Sentind-2 images.The balance of omission error and commission error was also improved.The integration of multiple spectral data combined with a logistic regression method proves to be effective for burned area detection,offering a highly automated process with an automatic threshold determination mechanism.This method exhibits excellent extensibility and flexibility taking the image tile as the operating unit.It is suitable for burned area detection at a regional scale and can also be implemented with other satellite data.展开更多
Background:Nuclear receptor binding SET domain protein-3(NSD3)is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers.We aimed to investigate the prognostic value and potenti...Background:Nuclear receptor binding SET domain protein-3(NSD3)is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers.We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer.Methods:The data were obtained from The Cancer Genome Atlas.Kaplan-Meier analysis,CIBERSORT,gene set enrichment analysis,and gene set variation analysis were performed.The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot.Results:The expression of NSD3 was altered in pan-cancer samples.Patients with higher levels of NDS3 generally had shorter overall survival and disease-specific survival.Levels of NSD3 were positively correlated with DNA copy number variation(CNV)in pan-cancer.NSD3 expression was also associated with tumor mutation burden and microsatellite instability.The levels of immune-cell infiltration differed significantly between high and low NSD3 expression.NSD3 negatively correlated with levels of CD8+T cells.Functional enrichment analysis showed that while NSD3 expression was positively associated with several immune cell-related and histone methylation-related pathways,it was negatively correlated with cell metabolism-related,drug transport-related,and drug metabolismrelated pathways.NSD3 levels in the cell lines tested were significantly different.In U251 and NCI-H23 cells,silencing NSD3 inhibited cell proliferation and promoted apoptosis.Conclusions:NSD3 expression was changed in pan-cancer samples that was also verified in cell lines.NSD3 was associated with CNV and immune-cell infiltration.A poor prognosis was predicted in patients with high expression of NSD3.NSD3 might hence be a potential marker for predicting tumor prognosis.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.42101414)Natural Science Found for Outstanding Young Scholars in Jilin Province(No.20230508106RC)。
文摘The burning of crop residues in fields is a significant global biomass burning activity which is a key element of the terrestrial carbon cycle,and an important source of atmospheric trace gasses and aerosols.Accurate estimation of cropland burned area is both crucial and challenging,especially for the small and fragmented burned scars in China.Here we developed an automated burned area mapping algorithm that was implemented using Sentinel-2 Multi Spectral Instrument(MSI)data and its effectiveness was tested taking Songnen Plain,Northeast China as a case using satellite image of 2020.We employed a logistic regression method for integrating multiple spectral data into a synthetic indicator,and compared the results with manually interpreted burned area reference maps and the Moderate-Resolution Imaging Spectroradiometer(MODIS)MCD64A1 burned area product.The overall accuracy of the single variable logistic regression was 77.38%to 86.90%and 73.47%to 97.14%for the 52TCQ and 51TYM cases,respectively.In comparison,the accuracy of the burned area map was improved to 87.14%and 98.33%for the 52TCQ and 51TYM cases,respectively by multiple variable logistic regression of Sentind-2 images.The balance of omission error and commission error was also improved.The integration of multiple spectral data combined with a logistic regression method proves to be effective for burned area detection,offering a highly automated process with an automatic threshold determination mechanism.This method exhibits excellent extensibility and flexibility taking the image tile as the operating unit.It is suitable for burned area detection at a regional scale and can also be implemented with other satellite data.
基金supported in part by the National Natural Science Foundation of China(Grant No.81703005)the Natural Science Foundation of Hunan Province(Grant Nos.2017JJ3195,2018JJ3317)the Key Research and Development Projects of Hunan Province(Grant No.2018SK2120).
文摘Background:Nuclear receptor binding SET domain protein-3(NSD3)is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers.We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer.Methods:The data were obtained from The Cancer Genome Atlas.Kaplan-Meier analysis,CIBERSORT,gene set enrichment analysis,and gene set variation analysis were performed.The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot.Results:The expression of NSD3 was altered in pan-cancer samples.Patients with higher levels of NDS3 generally had shorter overall survival and disease-specific survival.Levels of NSD3 were positively correlated with DNA copy number variation(CNV)in pan-cancer.NSD3 expression was also associated with tumor mutation burden and microsatellite instability.The levels of immune-cell infiltration differed significantly between high and low NSD3 expression.NSD3 negatively correlated with levels of CD8+T cells.Functional enrichment analysis showed that while NSD3 expression was positively associated with several immune cell-related and histone methylation-related pathways,it was negatively correlated with cell metabolism-related,drug transport-related,and drug metabolismrelated pathways.NSD3 levels in the cell lines tested were significantly different.In U251 and NCI-H23 cells,silencing NSD3 inhibited cell proliferation and promoted apoptosis.Conclusions:NSD3 expression was changed in pan-cancer samples that was also verified in cell lines.NSD3 was associated with CNV and immune-cell infiltration.A poor prognosis was predicted in patients with high expression of NSD3.NSD3 might hence be a potential marker for predicting tumor prognosis.
