Zobrazeno 1 - 10
of 24
pro vyhledávání: '"John A. Wrobel"'
Autor:
John A. Wrobel, Ling Xie, Li Wang, Cui Liu, Naim Rashid, Kristalyn K. Gallagher, Yan Xiong, Kyle D. Konze, Jian Jin, Michael L. Gatza, Xian Chen
Publikováno v:
iScience, Vol 17, Iss , Pp 359-378 (2019)
Summary: Proliferative and invasive breast tumors evolve heterogeneously in individual patients, posing significant challenges in identifying new druggable targets for precision, effective therapy. Here we present a functional multi-omics method, int
Externí odkaz:
https://doaj.org/article/2190088fe15f4271b01c858f46fc8fc1
Publikováno v:
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-20 (2019)
Abstract Background Presently, a 50-gene expression model (PAM50) serves as a breast cancer (BC) subtype classifier that is insufficient to distinguish, within each single PAM50-classified subtype, patient subpopulations having different prognosis. T
Externí odkaz:
https://doaj.org/article/4a5e33965cd54bc28cc20c37d9f2530f
Publikováno v:
STAR Protocols, Vol 2, Iss 1, Pp 100338- (2021)
Summary: Inter- or intra-patient tumor heterogeneity hinders the discovery of biomarkers for predicting individualized prognosis. Here, we present a protocol for an alternative splicing activity-based proteogenomic approach for identification of cand
Externí odkaz:
https://doaj.org/article/d6b672207a3a4282a245cc8a91972023
Autor:
Sirui Li, Bhalchandra Mirlekar, Brandon M. Johnson, W. June Brickey, John A. Wrobel, Na Yang, Dingka Song, Sarah Entwistle, Xianming Tan, Meng Deng, Ya Cui, Wei Li, Benjamin G. Vincent, Michael Gale, Yuliya Pylayeva-Gupta, Jenny P.-Y. Ting
Publikováno v:
Nature
An immunosuppressive tumour microenvironment is a major obstacle in the control of pancreatic and other solid cancers(1–3). Agonists of the stimulator of interferon genes (STING) protein trigger inflammatory innate immune responses to potentially o
Autor:
Haisheng Yu, John A Wrobel, Xiao-Ning Xu, Zhiyuan Hu, Peng Liu, Lishan Su, Guangming Li, Liang Cheng
Publikováno v:
JCI Insight
Depletion of CD4(+) T cells during HIV-1 infection is mostly mediated by inflammatory cells via indirect but not clearly defined mechanisms. In this report, we used single-cell RNA-Seq (scRNA-Seq) technology to study HIV-induced transcriptomic change
Autor:
Shyam M. Kavuri, Steven A. Carr, Beifang Niu, Shunqiang Li, Matthew A. Wyczalkowski, David Fenyö, Jason M. Held, Jerry Usary, Adam D. Scott, Kuan-lin Huang, Philipp Mertins, Souzan Sanati, Mehdi Mesri, Harsha P. Gunawardena, Kai Ye, Cynthia X. Ma, John A. Wrobel, Matthew J. Ellis, Li Ding, Purba Singh, D. R. Mani, Jeremy Hoog, Jacqueline E. Snider, Song Cao, Ling Xie, Raymond R. Townsend, Xuya Wang, Sherri R. Davies, Jana W. Qiao, Emily Kawaler, Kelly V. Ruggles, Christopher R. Kinsinger, Anna Malovannaya, Henry Rodriguez, Maki Tanioka, Charles M. Perou, Zhanfang Guo, Petra Erdmann-Gilmore, Christopher J. Yoon, Xian Chen, Karl R. Clauser, Sam Q. Sun, Michael A. Gillette, Michael C. Wendl, Michael D. McLellan
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-17 (2017)
Nature
Nature
Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast cancer patient-derived xenograft (PDX) models. Integrated proteoge
Publikováno v:
BMC Medical Genomics
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-20 (2019)
BMC Medical Genomics, Vol 12, Iss 1, Pp 1-20 (2019)
Background Presently, a 50-gene expression model (PAM50) serves as a breast cancer (BC) subtype classifier that is insufficient to distinguish, within each single PAM50-classified subtype, patient subpopulations having different prognosis. There is a
Autor:
Jonathon J. O’Brien, Shunqiang Li, Xian Chen, Sherri R. Davies, Matthew J. Ellis, John A. Wrobel, Ling Xie, Harsha P. Gunawardena, Bahjat F. Qaqish
Publikováno v:
Molecular & Cellular Proteomics. 15:740-751
Single quantitative platforms such as label-based or label-free quantitation (LFQ) present compromises in accuracy, precision, protein sequence coverage, and speed of quantifiable proteomic measurements. To maximize the quantitative precision and the
Autor:
Xie Ling, John A. Wrobel, Matthew Guy Stevenson Biggart, Nathan Simpson, Deborah L. Baines, Robert Tarran, Kai Hilpert, Jurnorain Gani, Xian Chen
Publikováno v:
The FASEB Journal. 34:1-1
Autor:
Christopher R. Kinsinger, Wei-Jun Qian, Robert Rivers, Tao Liu, Amanda G. Paulovich, Xian Chen, Steven A. Carr, Jacob J. Kennedy, Gordon Whiteley, Ping Yan, Karen A. Ketchum, Stefani N. Thomas, Emily S. Boja, Daniel C. Liebler, Vagisha Sharma, Michael J. MacCoss, John A. Wrobel, Tara Hiltke, Raymond R. Townsend, Matthew R. Meyer, Chaochao Wu, Brendan MacLean, Zhen Zhang, Michael Loss, Goran N. Halusa, Sherri R. Davies, Matthew J. Ellis, Jeffrey R. Whiteaker, Henry Rodriguez, Mitchell G. Scott, Karin D. Rodland, Eric Kuhn, D. R. Mani, Andrew N. Hoofnagle, Kelly V. Ruggles, Hui Zhang, David Fenyö, Richard D. Smith, Lisa J. Zimmerman, Mehdi Mesri, Daniel W. Chan, Jing Chen
Publikováno v:
Methods in Molecular Biology ISBN: 9781493935222
The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute (NCI) has launched an Assay Portal (http://assays.cancer.gov) to serve as an open-source repository of well-characterized targeted proteomic assays. The portal