Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Qiuyue Yuan"'
Autor:
Qiuyue Yuan, Zhana Duren
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Despite recent developments, it is hard to profile all multi-omics single-cell data modalities on the same cell. Thus, huge amounts of single-cell genomics data of unpaired observations on different cells are generated. We propose a method n
Externí odkaz:
https://doaj.org/article/4c4706bc611e4a44929ef828f1aa1ba8
Autor:
Xiaohan Shi, Yunguang Li, Qiuyue Yuan, Shijie Tang, Shiwei Guo, Yehan Zhang, Juan He, Xiaoyu Zhang, Ming Han, Zhuang Liu, Yiqin Zhu, Suizhi Gao, Huan Wang, Xiongfei Xu, Kailian Zheng, Wei Jing, Luonan Chen, Yong Wang, Gang Jin, Dong Gao
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
The chromatin accessibility landscape and gene regulatory network of pancreatic cancer has not been fully characterised. Here, the authors perform multi-omics analysis of 84 pancreatic cancer organoid lines and reveal gene regulatory networks and dis
Externí odkaz:
https://doaj.org/article/cda79ae05c6642c091b1e519c4aba219
Autor:
Zhanying Feng, Zhana Duren, Jingxue Xin, Qiuyue Yuan, Yaoxi He, Bing Su, Wing Hung Wong, Yong Wang
Publikováno v:
eLife, Vol 11 (2022)
Systems genetics holds the promise to decipher complex traits by interpreting their associated SNPs through gene regulatory networks derived from comprehensive multi-omics data of cell types, tissues, and organs. Here, we propose SpecVar to integrate
Externí odkaz:
https://doaj.org/article/324bebb4cb3147d9bf19b7e6faa3cc4f
Autor:
Jingxue Xin, Hui Zhang, Yaoxi He, Zhana Duren, Caijuan Bai, Lang Chen, Xin Luo, Dong-Sheng Yan, Chaoyu Zhang, Xiang Zhu, Qiuyue Yuan, Zhanying Feng, Chaoying Cui, Xuebin Qi, Ouzhuluobu, Wing Hung Wong, Yong Wang, Bing Su
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-20 (2020)
Tibetan adaptation to the high-altitude environment represents a case of natural selection during recent human evolution. Here the authors investigated the chromatin and transcriptional landscape of umbilical endothelial cells from Tibetan and Han Ch
Externí odkaz:
https://doaj.org/article/5d727e2e509d4204b777b2789c0541c6
Autor:
Guofeng Zhou, Shaoyan Sun, Qiuyue Yuan, Run Zhang, Ping Jiang, Guangyu Li, Yong Wang, Xiao Li
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Heart failure with preserved ejection fraction (HFpEF) is a complex disease characterized by dysfunctions in the heart, adipose tissue, and cerebral arteries. The elucidation of the interactions between these three tissues in HFpEF will improve our u
Externí odkaz:
https://doaj.org/article/a6747c7b1c8043749ef9541eff4bf186
Autor:
Liping Wang, Hairui Fan, Yinggang Zou, Qiuyue Yuan, Xuming Hu, Xujing Chen, Chunhui Zhu, Xiaomei Zhang, Hengmi Cui
Publikováno v:
Frontiers in Genetics, Vol 11 (2021)
Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disease characterized by persistent anovulation and hyperandrogenism, affecting approximately 8–10% of women of childbearing age and occupying an important position in the etiology
Externí odkaz:
https://doaj.org/article/c7dd146f5d004a69bc4eaf05d5302d41
Autor:
Qiuyue Yuan, Yong Wang
Publikováno v:
iScience, Vol 23, Iss 6, Pp 101227- (2020)
Summary: Transcription factors (TFs) define cellular identity either by activating target cell program or by silencing donor program as demonstrated by intensive cell reprogramming studies. Here, we propose an extended minimum set cover model with st
Externí odkaz:
https://doaj.org/article/6eb0c867a6f2429ea84f835f7289e1c4
Publikováno v:
BIOCELL. 46:595-606
Autor:
Xin Luo, Jingxue Xin, Xuebin Qi, Zhanying Feng, Hui Zhang, Qiuyue Yuan, Wing Hung Wong, Yaoxi He, Lang Chen, Zhana Duren, Caijuan Bai, Yong Wang, Chaoyu Zhang, Ouzhuluobu, Dong Sheng Yan, Xiang Zhu, Chaoying Cui, Bing Su
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-20 (2020)
Nature Communications
Nature Communications
High-altitude adaptation of Tibetans represents a remarkable case of natural selection during recent human evolution. Previous genome-wide scans found many non-coding variants under selection, suggesting a pressing need to understand the functional r