Objective To investigate expression of Evi 1 and MDS1 Evi 1 genes in myelodysplastic syndromes (MDS) and post MDS acute myeloid leukemia (post MDS AML), and its role in pathogenesis or progression of MDS and pos...Objective To investigate expression of Evi 1 and MDS1 Evi 1 genes in myelodysplastic syndromes (MDS) and post MDS acute myeloid leukemia (post MDS AML), and its role in pathogenesis or progression of MDS and post MDS AML Methods Expression of Evi 1 and MDS1 Evi 1 genes was examined in 31 MDS, 11 post MDS AML, and 34 de novo AML patients by a semi quantitative reverse transcription polymerase chain reaction (RT PCR) Results Evi 1 expression was not detected in bone marrow samples of 8 normal controls, but low MDS1 Evi 1 expression levels (MDS1 Evi 1/GAPDH<0 1) were detected in 3 of the 8 controls Evi 1 RNA was expressed in 1 of 8 RA, 8 of 13 RAEB and 6 of 9 RAEB T patients, and the percentage of Evi 1 expression in RAEB(T) patients was higher than that in RA (P<0 05) MDS1 Evi 1 expression was detected in 5 of 8 RA, 9 of 13 RAEB and 5 of 9 RAEB T patients, and MDS1 Evi 1 expression levels (MDS1 Evi 1/GAPDH>0 1) were markedly higher than those in the controls Evi 1 expression was gradually increased in 4 of 5 RAEB T patients with transformation from MDS to AML The percentages of Evi 1 and MDS1 Evi 1 expression in post MDS AML patients were significantly (P<0 01 and P<0 05 respectively) higher than those in de novo AML The colonies of hematopoietic progenitor cells were decreased in Evi 1 and MDS1 Evi 1 positive MDS patients as compared with those in Evi 1 and MDS1 Evi 1 negative patients Conclusion Abnormal expression of the Evi 1 gene and overexpression of MDS1 Evi 1 gene may play a role in the pathogenesis or progression of MDS and post MDS AML展开更多
以国产高分一号(GF-1)宽幅数据(wide field of view,WFV)为数据源,采用简单生物圈模型2(simple biosphere model2,SiB2)对黑龙江省漠河县森林植被叶面积指数(leaf area index,LAI)进行估算,并与增强植被指数(enhanced vegetation index,...以国产高分一号(GF-1)宽幅数据(wide field of view,WFV)为数据源,采用简单生物圈模型2(simple biosphere model2,SiB2)对黑龙江省漠河县森林植被叶面积指数(leaf area index,LAI)进行估算,并与增强植被指数(enhanced vegetation index,EVI)线性模型的估算结果进行对比,结合地面实测LAI数据分别对这2种模型估算结果进行精度评价。结果表明,采用EVI线性模型估算LAI,决定系数R 2为0.582,均方根误差(root mean square error,RMSE)为0.701;而采用SiB2模型估算LAI,R 2为0.798,RMSE为0.358,均比EVI线性模型有所改善。该研究发现,结合中高空间分辨率的GF-1 WFV数据,SiB2模型更适宜于该研究区森林植被的LAI反演。展开更多
文摘Objective To investigate expression of Evi 1 and MDS1 Evi 1 genes in myelodysplastic syndromes (MDS) and post MDS acute myeloid leukemia (post MDS AML), and its role in pathogenesis or progression of MDS and post MDS AML Methods Expression of Evi 1 and MDS1 Evi 1 genes was examined in 31 MDS, 11 post MDS AML, and 34 de novo AML patients by a semi quantitative reverse transcription polymerase chain reaction (RT PCR) Results Evi 1 expression was not detected in bone marrow samples of 8 normal controls, but low MDS1 Evi 1 expression levels (MDS1 Evi 1/GAPDH<0 1) were detected in 3 of the 8 controls Evi 1 RNA was expressed in 1 of 8 RA, 8 of 13 RAEB and 6 of 9 RAEB T patients, and the percentage of Evi 1 expression in RAEB(T) patients was higher than that in RA (P<0 05) MDS1 Evi 1 expression was detected in 5 of 8 RA, 9 of 13 RAEB and 5 of 9 RAEB T patients, and MDS1 Evi 1 expression levels (MDS1 Evi 1/GAPDH>0 1) were markedly higher than those in the controls Evi 1 expression was gradually increased in 4 of 5 RAEB T patients with transformation from MDS to AML The percentages of Evi 1 and MDS1 Evi 1 expression in post MDS AML patients were significantly (P<0 01 and P<0 05 respectively) higher than those in de novo AML The colonies of hematopoietic progenitor cells were decreased in Evi 1 and MDS1 Evi 1 positive MDS patients as compared with those in Evi 1 and MDS1 Evi 1 negative patients Conclusion Abnormal expression of the Evi 1 gene and overexpression of MDS1 Evi 1 gene may play a role in the pathogenesis or progression of MDS and post MDS AML
文摘以国产高分一号(GF-1)宽幅数据(wide field of view,WFV)为数据源,采用简单生物圈模型2(simple biosphere model2,SiB2)对黑龙江省漠河县森林植被叶面积指数(leaf area index,LAI)进行估算,并与增强植被指数(enhanced vegetation index,EVI)线性模型的估算结果进行对比,结合地面实测LAI数据分别对这2种模型估算结果进行精度评价。结果表明,采用EVI线性模型估算LAI,决定系数R 2为0.582,均方根误差(root mean square error,RMSE)为0.701;而采用SiB2模型估算LAI,R 2为0.798,RMSE为0.358,均比EVI线性模型有所改善。该研究发现,结合中高空间分辨率的GF-1 WFV数据,SiB2模型更适宜于该研究区森林植被的LAI反演。
