Now showing items 1-5 of 5

    • Comparison of RNA-seq and microarray-based models for clinical endpoint prediction 

      Zhang, Wenqian; Yu, Ying; Hertwig, Falk; Thierry-Mieg, Jean; Zhang, Wenwei; Thierry-Mieg, Danielle; Wang, Jian; Furlanello, Cesare; Devanarayan, Viswanath; Cheng, Jie; Deng, Youping; Hero, Barbara; Hong, Huixiao; Jia, Meiwen; Li, Li; Lin, Simon M; Nikolsky, Yuri; Oberthuer, André; Qing, Tao; Su, Zhenqiang; Volland, Ruth; Wang, Charles; Wang, May D.; Ai, Junmei; Albanese, Davide; Asgharzadeh, Shahab; Avigad, Smadar; Bao, Wenjun; Bessarabova, Marina; Brilliant, Murray H.; Brors, Benedikt; Chierici, Marco; Chu, Tzu-Ming; Zhang, Jibin; Grundy, Richard G.; He, Min Max; Hebbring, Scott; Kaufman, Howard L.; Lababidi, Samir; Lancashire, Lee J.; Li, Yan; Lu, Xin X.; Luo, Heng; Ma, Xiwen; Ning, Baitang; Noguera, Rosa; Peifer, Martin; Phan, John H.; Roels, Frederik; Rosswog, Carolina; Shao, Susan; Shen, Jie; Theissen, Jessica; Tonini, Gian Paolo; Vandesompele, Jo; Wu, Po-Yen; Xiao, Wenzhong; Xu, Joshua; Xu, Weihong; Xuan, Jiekun; Yang, Yong; Ye, Zhan; Dong, Zirui; Zhang, Ke K.; Yin, Ye; Zhao, Chen; Zheng, Yuanting; Wolfinger, Russell D.; Shi, Tieliu; Malkas, Linda H.; Berthold, Frank; Wang, Jun; Tong, Weida; Shi, Leming; Peng, Zhiyu; Fischer, Matthias (BioMed Central, 2015)
      Background: Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond ...
    • A Genomic Storm in Critically Injured Humans 

      Mindrinos, Michael N.; Seok, Junhee; Cuschieri, Joseph; Cuenca, Alex G.; Hayden, Douglas L.; Hennessy, Laura; Moore, Ernest E.; Minei, Joseph P.; Bankey, Paul E.; Sperry, Jason; Nathens, Avery B.; Billiar, Timothy R.; Brownstein, Bernard H.; Mason, Philip H.; Baker, Henry V.; Finnerty, Celeste C.; Jeschke, Marc G.; López, M. Cecilia; Klein, Matthew B.; Gamelli, Richard L.; Gibran, Nicole S.; Arnoldo, Brett; Xu, Weihong; Zhang, Yuping; Calvano, Steven E.; McDonald-Smith, Grace P.; Storey, John D.; Moldawer, Lyle L.; Herndon, David N.; Lowry, Stephen F.; Maier, Ronald V.; Davis, Ronald W.; Xiao, Wenzhong; Gao, Hong; Johnson, Jeffrey L.; West, Michael A.; Schoenfeld, David Alan; Cobb, Joseph Perren; Warren, H. Shaw; Tompkins, Ronald Gary (The Rockefeller University Press, 2011)
      Human survival from injury requires an appropriate inflammatory and immune response. We describe the circulating leukocyte transcriptome after severe trauma and burn injury, as well as in healthy subjects receiving low-dose ...
    • Involvement of Skeletal Muscle Gene Regulatory Network in Susceptibility to Wound Infection Following Trauma 

      Apidianakis, Yiorgos; Mindrinos, Michael N.; Xiao, Wenzhong; Tegos, George; Papisov, Mikhail Ivanovich; Hamblin, Michael; Davis, Ronald W.; Tompkins, Ronald Gary; Rahme, Laurence G. (Public Library of Science, 2007)
      Despite recent advances in our understanding the pathophysiology of trauma, the basis of the predisposition of trauma patients to infection remains unclear. A Drosophila melanogaster/Pseudomonas aeruginosa injury and ...
    • KERIS: kaleidoscope of gene responses to inflammation between species 

      Li, Peng; Tompkins, Ronald G; Xiao, Wenzhong (Oxford University Press, 2017)
      A cornerstone of modern biomedical research is the use of animal models to study disease mechanisms and to develop new therapeutic approaches. In order to help the research community to better explore the similarities and ...
    • Knowledge-Based Reconstruction of mRNA Transcripts with Short Sequencing Reads for Transcriptome Research 

      Seok, Junhee; Xu, Weihong; Jiang, Hui; Davis, Ronald W.; Xiao, Wenzhong (Public Library of Science, 2012)
      While most transcriptome analyses in high-throughput clinical studies focus on gene level expression, the existence of alternative isoforms of gene transcripts is a major source of the diversity in the biological functionalities ...