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| 1 | Characterization of miRNomes in Acute and Chronic Myeloid Leukemia Cell Lines显示文摘Myeloid leukemias are highly diverse diseases and have been shown to be associated with microRNA(miRNA) expression aberrations. The present study involved an in-depth miRNome analysis of two human acute myeloid leukemia(AML) cell lines, HL-60 and THP-1, and one human chronic myeloid leukemia(CML) cell line, K562, via massively parallel signature sequencing. mRNA expression profiles of these cell lines that were established previously in our lab facilitated an integrative analysis of miRNA and mRNA expression patterns. miRNA expression profiling followed by differential expression analysis and target prediction suggested numerous miRNA signatures in AML and CML cell lines. Some miRNAs may act as either tumor suppressors or oncomiRs in AML and CML by targeting key genes in AML and CML pathways. Expression patterns of cell type-specific miRNAs could partially reflect the characteristics of K562, HL-60 and THP-1 cell lines, such as actin filament-based processes, responsiveness to stimulus and phagocytic activity. miRNAs may also regulate myeloid differentiation, since they usually suppress differentiation regulators. Our study provides a resource to further investigate the employment of miRNAs in human leukemia subtyping, leukemogenesis and myeloid development. In addition, the distinctive miRNA signatures may be potential candidates for the clinical diagnosis, prognosis and treatment of myeloid leukemias. | Qian Xiong Yadong Yang Hai Wang Jie Li Shaobin Wang Yanming Li Yaran Yang Kan Cai Xiuyan Ruan Jiangwei Yan Songnian Hu Xiangdong Fang | 2014 | Genomics, Proteomics & Bioinformatics2014，12，2： | 6 |
| 2 | Learning Domain-Invariant and Discriminative Features for Homogeneous Unsupervised Domain Adaptation显示文摘A classifier trained on the label-rich source dataset tends to perform poorly on the unlabeled target dataset because of the distribution discrepancy across different datasets.Unsupervised domain adaptation aims to transfer knowledge from the labeled source dataset to the unlabeled target dataset to solve this problem.Most of the existing unsupervised domain adaptation methods only concentrate on learning domain-invariant features across different domains,but they neglect the discriminability of the learned features to satisfy the cluster assumption.In this paper,we propose Semantic pairwise centroid alignment(SPCA),which is a point-wise method to learn both domain-invariant and discriminative features for homogeneous unsupervised domain adaptation.SPCA utilizes a novel semantic centroid loss to reduce the intraclass distance in feature space by using source data and target High-confidence centroid points(HCCPs).Then a classifier trained on source features is expected to generalize well on target features.Extensive experiments on visual recognition tasks verify the effectiveness of the proposed SPCA and also demonstrate that both domaininvariant and discriminative features learned by SPCA can significantly boost the performance of homogeneous unsupervised domain adaptation. | ZHANG Yun WANG Nianbin CAI Shaobin | 2020 | Chinese Journal of Electronics2020，29，6： | 2 |
| 3 | Application of fluorescence in situ hybridization in the detection of bladder transitional-cell carcinoma: A multi-center clinical study based on Chinese population显示文摘Objective:To evaluate the diagnostic value of fluorescence in situ hybridization(FISH)in bladder cancer.Methods:We enrolled healthy volunteers and patients who were clinically suspected to have bladder cancer and conducted FISH tests and cytology examinations from August 2007 to December 2008.Receiver operating characteristic(ROC)curve analysis was performed and the area under curve(AUC)values were calculated for both the FISH and urine cytology tests.Results:A cohort of 988 healthy volunteers was enrolled to establish a reference range for the normal population.A total of 4807 patients with hematuria were prospectively,randomly enrolled for the simultaneous analysis of urine cytology,FISH testing,and a final diagnosis as determined by the pathologic findings of a biopsy or a surgically-excised specimen.Overall,the sensitivity of FISH in detecting transitional-cell carcinoma was 82.7%,while that of cytology was 33.4%(p<0.001).The sensitivity values of FISH for non-muscle invasive and muscle invasive bladder transitional-cell carcinoma were 81.7%and 89.6%,respectively(p=0.004).The sensitivity values of FISH for low and high grade bladder cancer were 82.6%and 90.1%,respectively(p=0.002).Conclusion:FISH is significantly more sensitive than voided urine cytology for detecting bladder cancer in patients evaluated for gross hematuria at all cancer grades and stages.Higher sensitivity using FISH was obtained in high grade and muscle invasive tumors. | Liqun Zhou Kaiwei Yang Xuesong Li Yi Ding Dawei Mu Hanzhong Li Yong Yan Jinyi Li Dongwen Wang Wei Li Yulong Cong Jiangping Gao Kewei Ma Yajun Xiao Sheng Zhang Hongyi Jiang Weilie Hu Qiang Wei Xunbo Jin Zhichen Guan Qingyong Liu Danfeng Xu Xin Gao Yongguang Jiang Weimin Gan Guang Sun Qing Wang Yanhui Liu Jianquan Hou Liping Xie Xishuang Song Fengshuo Jin Jiafu Feng Ming Cai Zhaozhao Liang Jie Zhang Dingwei Ye Lin Qi Lulin Ma Jianzhong Shou Yuping Dai Jianyong Shao Ye Tian Shizhe Hong Tao Xu Chuize Kong Zefeng Kang Yuexin Liu Xun Qu Benkang Shi Shaobin Zheng Yi Lin Shujie Xia Dong Wei Jianbo Wu Weiling Fu Zhiping Wang Jianbo Liang | 2019 | Asian Journal of Urology2019，6，1： | 2 |
| 4 | Mulfipath passive data acknowledgement on-demand multicast protocol显示文摘 | Shaobin Cai Nianmin Yao Nianbin Wang | 2007 | Computer Communications2007，29，11： | 1 |
| 5 | An Ad Hoc Multicast Protocol Based on Passive Data Acknowledgement显示文摘 | Cai Shaobin Wang Ling Yang Xiaozong | 2004 | Computer Communications2004，27，18： | 1 |
| 6 | A network coding based protocol for reliable data transfer in under-water acoustic senor 显示文摘 | Cai Shaobin Gao Zheng Yang Deshen | | (5) : 1603-16090，，5： | 1 |
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