Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guanjue Xiang"'
Autor:
Yi Zhang, Guanjue Xiang, Alva Yijia Jiang, Allen Lynch, Zexian Zeng, Chenfei Wang, Wubing Zhang, Jingyu Fan, Jiajinlong Kang, Shengqing Stan Gu, Changxin Wan, Boning Zhang, X. Shirley Liu, Myles Brown, Clifford A. Meyer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Recent advances in single-cell RNA sequencing have shown heterogeneous cell types and gene expression states in the non-cancerous cells in tumors. The integration of multiple scRNA-seq datasets across tumors can indicate common cell types an
Externí odkaz:
https://doaj.org/article/77ffd7f0015d4d809b9d15d53098ceaf
Autor:
Guanjue Xiang, Belinda Giardine, Lin An, Chen Sun, Cheryl A. Keller, Elisabeth F. Heuston, Stacie M. Anderson, Martha Kirby, David Bodine, Yu Zhang, Ross C. Hardison
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Background Epigenetic modification of chromatin plays a pivotal role in regulating gene expression during cell differentiation. The scale and complexity of epigenetic data pose significant challenges for biologists to identify the regulatory
Externí odkaz:
https://doaj.org/article/5ffe37119b794e6e9a7d5b9bec15d47b
Autor:
Hillary Koch, Cheryl A. Keller, Guanjue Xiang, Belinda Giardine, Feipeng Zhang, Yicheng Wang, Ross C. Hardison, Qunhua Li
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Comparisons among experimental results with large amounts of data can be more precise and meaningful when done across multiple different conditions simultaneously. Koch et al. introduce a method, called CLIMB, that does this, and captures interpretab
Externí odkaz:
https://doaj.org/article/fb1daa6b11e04ddd87d6e115674f7a94
Autor:
Lin An, Tao Yang, Jiahao Yang, Johannes Nuebler, Guanjue Xiang, Ross C. Hardison, Qunhua Li, Yu Zhang
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-16 (2019)
Abstract The spatial organization of chromatin in the nucleus has been implicated in regulating gene expression. Maps of high-frequency interactions between different segments of chromatin have revealed topologically associating domains (TADs), withi
Externí odkaz:
https://doaj.org/article/8117dd1071f04142b61deeb8d8f80c67
Autor:
Jing Luan, Guanjue Xiang, Pablo Aurelio Gómez-García, Jacob M. Tome, Zhe Zhang, Marit W. Vermunt, Haoyue Zhang, Anran Huang, Cheryl A. Keller, Belinda M. Giardine, Yu Zhang, Yemin Lan, John T. Lis, Melike Lakadamyali, Ross C. Hardison, Gerd A. Blobel
Publikováno v:
Cell Reports, Vol 34, Iss 8, Pp 108783- (2021)
Summary: CCCTC-binding factor (CTCF) is a conserved zinc finger transcription factor implicated in a wide range of functions, including genome organization, transcription activation, and elongation. To explore the basis for CTCF functional diversity,
Externí odkaz:
https://doaj.org/article/043972196e1e41779878b3c99b1de8c7
Autor:
Guanjue Xiang, Xi He, Belinda M. Giardine, Kathryn J. Weaver, Dylan J. Taylor, Rajiv C. McCoy, Camden Jansen, Cheryl A. Keller, Alexander Q. Wixom, April Cockburn, Amber Miller, Qian Qi, Yanghua He, Yichao Li, Jens Lichtenberg, Elisabeth F. Heuston, Stacie M. Anderson, Jing Luan, Marit W. Vermunt, Feng Yue, Michael E.G. Sauria, Michael C. Schatz, James Taylor, Berthold Göttgens, Jim R. Hughes, Douglas R. Higgs, Mitchell J. Weiss, Yong Cheng, Gerd A. Blobel, David Bodine, Yu Zhang, Qunhua Li, Shaun Mahony, Ross C. Hardison
Knowledge of locations and activities ofcis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef37c806f6c18c3930749db34dc396f5
https://doi.org/10.1101/2023.04.02.535219
https://doi.org/10.1101/2023.04.02.535219
Autor:
Yi Zhang, Guanjue Xiang, Alva Yijia Jiang, Allen Lynch, Zexian Zeng, Chenfei Wang, Wubing Zhang, Jingyu Fan, Jiajinlong Kang, Shengqing Stan Gu, Changxin Wan, Boning Zhang, X. Shirley Liu, Myles Brown, Clifford A Meyer
Recent advances in single-cell RNA sequencing have revealed heterogeneous cell types and gene expression states in the non-cancerous cells in tumors. The integration of multiple scRNA-seq datasets across tumors can reveal common cell types and states
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a42b3a79d8a01ef00509eaeabb38653
https://doi.org/10.1101/2022.08.05.502989
https://doi.org/10.1101/2022.08.05.502989
Autor:
Ross C. Hardison, Guanjue Xiang, Camden Jansen, Cheryl A. Keller, Belinda M. Giardine, April Cockburn, Xi He, Michael E. Sauria, Kathryn Weaver, Qunhua Li, Yu Zhang
Publikováno v:
The FASEB Journal. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87cc56a1311514de5027c602fe48696a
https://doi.org/10.1096/fasebj.2022.36.s1.r5637
https://doi.org/10.1096/fasebj.2022.36.s1.r5637
Autor:
Yi Zhang, Guanjue Xiang, Yijia Alva Jiang, Allen Lynch, Zexian Zeng, Chenfei Wang, Wubing Zhang, Jingyu Fan, Jiajinlong Kang, Shengqing Gu, Changxin Wan, Boning Zhang, Shirley Liu, Myles Brown, Clifford Meyer
Publikováno v:
Cancer Immunology Research. 10:B65-B65
Recent advances in single-cell RNA sequencing have revealed heterogeneous cell types and gene expression states in the non-cancerous cells in tumors. The integration of multiple scRNA-seq datasets across tumors can reveal common cell types and states
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c56b48ba26cefb63c4202875747d17
https://doi.org/10.1158/2326-6074.tumimm22-b65
https://doi.org/10.1158/2326-6074.tumimm22-b65
Publikováno v:
Bioinformatics
SummaryEpigenetic modifications reflect key aspects of transcriptional regulation, and many epigenomic data sets have been generated under many biological contexts to provide insights into regulatory processes. However, the technical noise in epigeno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f16054711903f21caa4ddf7250cc03e
https://doi.org/10.1093/bioinformatics/btab148
https://doi.org/10.1093/bioinformatics/btab148