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4篇 您的检索式:作者名="Zhoufang Li"
    题名 作者 年代 出处 被引量
1Highly effective and reproducible surface-enhanced Raman scattering substrates based on Ag pyramidal arrays显示文摘Yandong Wang Nan Lu Wentao Wang Lingxiao Liu Lei Feng Zhoufang Zeng Haibo Li Weiqing Xu Zijian Wu Wei Hu Yanqing Lu Lifeng Chi 2013Nano Research2013,6,3:6
2Self-generating nanogaps for highly effective surface-enhanced Raman spectroscopy显示文摘The fabrication of surface enhanced Raman spectroscopy(SERS)substrates with controlled high density hot spots still remains challenging.Herein,we report highly effective SERS substrates containing the self-generating(SG)nanogaps from polystyrene nanosphere monolayer through isotropic plasma etching.The emergence of multimode hot spots,i.e.,metal film over nanosphere(MFON)-like hot spots(closed gaps,0 nm),individual self-aligned hot spots(discrete gaps,>20 nm)and threedimensional(3D)hot spots(nanogaps,1-10 nm),makes the SG SERS substrates superior as compared to the traditional MFON or the well-ordered self-aligned SERS substrates in terms of enhancement,uniformity,and reproducibility.The SG SERS substrates can function as the excellent SERS platforms for trace molecule detection in the practical application fields.Yangkai Chen Huan Li Jianmei Chen Dong Li Mengyuan Zhang Guanghua Yu Lin Jiang Yi Zong Bin Dong Zhoufang Zeng Yandong Wang Lifeng Chi 2022Nano Research2022,15,4:1
3Comprehensive analysis of the T-cell receptor beta chain gene in rhesus monkey by high throughput sequencing显示文摘Zhoufang Li Guangjie Liu Yin Tong 2015Scientific Reports2015,5,10:1
4T Cell Repertoire Diversity Is Decreased in Type 1 Diabetes Patients显示文摘Type 1 diabetes mellitus(T1D) is an immune-mediated disease. The autoreactive T cells in T1D patients attack and destroy their own pancreatic cells. In order to systematically investigate the potential autoreactive T cell receptors(TCRs), we used a high-throughput immune repertoire sequencing technique to profile the spectrum of TCRs in individual T1D patients and controls.We sequenced the T cell repertoire of nine T1D patients, four type 2 diabetes(T2D) patients,and six nondiabetic controls. The diversity of the T cell repertoire in T1D patients was significantly decreased in comparison with T2 D patients(P = 7.0E 08 for CD4^+T cells, P = 1.4E 04 for CD8^+T cells) and nondiabetic controls(P = 2.7E 09 for CD4^+T cells, P = 7.6E 06 for CD8^+T cells). Moreover, T1D patients had significantly more highly-expanded T cell clones than T2D patients(P = 5.2E 06 for CD4+T cells, P = 1.9E 07 for CD8^+T cells) and nondiabetic controls(P = 1.7E 07 for CD4^+T cells, P = 3.3E 03 for CD8^+T cells). Furthermore, we identified a group of highly-expanded T cell receptor clones that are shared by more than two T1D patients. Although further validation in larger cohorts is needed, our data suggest that T cell receptor diversity measurements may become a valuable tool in investigating diabetes, such as using the diversity as an index to distinguish different types of diabetes.Yin Tong Zhoufang Li Hua Zhang Ligang Xia Meng Zhang Ying Xu Zhanhui Wang Michael W.Deem Xiaojuan Sun Jiankui He 2016Genomics, Proteomics & Bioinformatics2016,14,6:0
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