Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Liqing Tian"'
Autor:
Ji Wen, Michael Rusch, Samuel W. Brady, Ying Shao, Michael N. Edmonson, Timothy I. Shaw, Brent B. Powers, Liqing Tian, John Easton, Charles G. Mullighan, Tanja Gruber, David Ellison, Jinghui Zhang
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-14 (2021)
Abstract Background RNA editing leads to post-transcriptional variation in protein sequences and has important biological implications. We sought to elucidate the landscape of RNA editing events across pediatric cancers. Methods Using RNA-Seq data ma
Externí odkaz:
https://doaj.org/article/ee45d5cced7c45b7b5b564ed8ad29fba
Autor:
Masayuki Umeda, Jing Ma, Benjamin J. Huang, Kohei Hagiwara, Tamara Westover, Sherif Abdelhamed, Juan M. Barajas, Melvin E. Thomas, Michael P. Walsh, Guangchun Song, Liqing Tian, Yanling Liu, Xiaolong Chen, Pandurang Kolekar, Quang Tran, Scott G. Foy, Jamie L. Maciaszek, Andrew B. Kleist, Amanda R. Leonti, Bengsheng Ju, John Easton, Huiyun Wu, Virginia Valentine, Marcus B. Valentine, Yen-Chun Liu, Rhonda E. Ries, Jenny L. Smith, Evan Parganas, Ilaria Iacobucci, Ryan Hiltenbrand, Jonathan Miller, Jason R. Myers, Evadnie Rampersaud, Delaram Rahbarinia, Michael Rusch, Gang Wu, Hiroto Inaba, Yi-Cheng Wang, Todd A. Alonzo, James R. Downing, Charles G. Mullighan, Stanley Pounds, M. Madan Babu, Jinghui Zhang, Jeffrey E. Rubnitz, Soheil Meshinchi, Xiaotu Ma, Jeffery M. Klco
Publikováno v:
Blood Cancer Discov
Blood cancer discovery, vol 3, iss 3
Blood cancer discovery, vol 3, iss 3
The genetics of relapsed pediatric acute myeloid leukemia (AML) has yet to be comprehensively defined. Here, we present the spectrum of genomic alterations in 136 relapsed pediatric AMLs. We identified recurrent exon 13 tandem duplications (TD) in up
Autor:
Zhaoming Wang, J. Robert Michael, Darrell Gentry, Suzanne J. Baker, Jobin Sunny, S M Ashiqul Islam, Clay McLeod, David W. Ellison, Michael A. Dyer, Mark R. Wilkinson, Jinghui Zhang, Ludmil B. Alexandrov, Chaitanya Bangur, Bob Davidson, Singer Ma, Geralyn Miller, Pamella Tater, Yong Cheng, Arthur Chiao, Alexander M. Gout, Tuan Nguyen, James R. Downing, Edgar Sioson, Gang Wu, Delaram Rahbarinia, Ed Suh, Xiaotu Ma, Shaohua Lei, Yutaka Yasui, Andrew Frantz, Kirby Birch, Scott G. Foy, Nedra Robison, Kim E. Nichols, Aman Patel, Richard Daly, Alberto S. Pappo, Naina Thangaraj, Xin Zhou, Leslie L. Robison, Matthew Lear, Vijay Kandali, Christopher P. Meyer, David Finkelstein, Stephanie Wiggins, Tracy Ard, Irina McGuire, Yu Liu, Samuel W. Brady, Gregory T. Armstrong, Liqing Tian, Charles G. Mullighan, Brent A. Orr, Ti-Cheng Chang, Keith Perry, Michael Macias, Shuoguo Wang, Lance E. Palmer, Soheil Meshinchi, Carmen L. Wilson, James McMurry, Andrew Swistak, Michael Rusch, Scott Newman, Leigh Tanner, Madison Treadway, Xing Tang, Omar Serang, Jian Wang, Andrew Thrasher, Rahul Mudunuri, Mitchell J. Weiss, Michael N. Edmonson
Publikováno v:
Cancer Discov
Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a
Autor:
Jie Zhao, Ke Xu, Fan Yang, Ludmil B. Alexandrov, Edgar Sioson, Cheng Cheng, Samuel W. Brady, Shuhong Shen, Lele Sun, Liqing Tian, Benshang Li, Heather L. Mulder, Tianyi Wang, Yu Liu, Diane Flasch, James R. Downing, Ting Nien Lin, Xiaofan Zhu, Hui Zhang, Lijuan Du, Ching-Hon Pui, Matthew A. Myers, Yongjin Li, Ningling Wang, Michael Rusch, Karol Szlachta, Xiaotu Ma, Liu Yang, Jingyan Tang, Bin-Bing S. Zhou, Xin Zhou, Benjamin J. Raphael, Jinghui Zhang, Hui Li, Hui Ying Sun, Lixia Ding, Li Dong, Ying Shao, Jiaoyang Cai, Jingliao Zhang, Yingchi Zhang, Hongye Sun, Michael N. Edmonson, Kohei Hagiwara, John Easton, Yanling Liu, Jun J. Yang
Publikováno v:
Blood
To study the mechanisms of relapse in acute lymphoblastic leukemia (ALL), we performed whole-genome sequencing of 103 diagnosis-relapse-germline trios and ultra-deep sequencing of 208 serial samples in 16 patients. Relapse-specific somatic alteration
Autor:
Samuel W. Brady, David W. Ellison, Ji Wen, Charles G. Mullighan, Tanja A. Gruber, John Easton, Timothy I. Shaw, Brent B Powers, Michael Rusch, Michael N. Edmonson, Liqing Tian, Jinghui Zhang, Ying Shao
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-14 (2021)
BMC Cancer
BMC Cancer
Background RNA editing leads to post-transcriptional variation in protein sequences and has important biological implications. We sought to elucidate the landscape of RNA editing events across pediatric cancers. Methods Using RNA-Seq data mapped by a
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Autor:
Chunliang Li, Bensheng Ju, Scott Newman, Elizabeth Tseng, Li Dong, Tanja A. Gruber, Patrick Schreiner, Beisi Xu, Ying Shao, Jinghui Zhang, Jinjun Dang, Xin Zhou, John Easton, Xiaotu Ma, Ting Hon, Stephanie Nance, Yongjin Li, Liqing Tian, Meredith Ashby
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
Nature Communications
Nature Communications
IGH@ proto-oncogene translocation is a common oncogenic event in lymphoid lineage cancers such as B-ALL, lymphoma and multiple myeloma. Here, to investigate the interplay between IGH@ proto-oncogene translocation and IGH allelic exclusion, we perform
Autor:
James R. Downing, Michael N. Edmonson, Jing Ma, Jinghui Zhang, Yu Liu, Xin Zhou, Scott Newman, Andrew Thrasher, John Easton, J. Robert Michael, Liqing Tian, Austyn Trull, Yongjin Li, Bo Tang, Charles G. Mullighan, David W. Ellison, Michael Rusch, Clay McLeod, Suzanne J. Baker
Publikováno v:
Cancer Research. 80:5478-5478
Gene fusions are important biomarkers for cancer diagnosis, subtype classification and therapeutic decision-making. While fusion detection using RNA-seq data has become a standard practice, existing computational methods primarily focus on identifyin
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 2, p e17215 (2011)
PLoS ONE, Vol 6, Iss 2, p e17215 (2011)
Fold recognition, or threading, is a popular protein structure modeling approach that uses known structure templates to build structures for those of unknown. The key to the success of fold recognition methods lies in the proper integration of sequen