Transcription factor binding sites are highly enriched within microRNA precursor sequences

Autor: Piriyapongsa Jittima, Jordan I King, Conley Andrew B, Ronan Tom, Smalheiser Neil R

Publikováno v: Biology Direct, Vol 6, Iss 1, p 61 (2011)

Abstract Background Transcription factors are thought to regulate the transcription of microRNA genes in a manner similar to that of protein-coding genes; that is, by binding to conventional transcription factor binding site DNA sequences located in

Externí odkaz: https://doaj.org/article/7f774a4628a1468a9d25d57f9065625d

Binding Affinity and Specificity of SH2 Domain Interactions in Receptor Tyrosine Kinase Signaling Networks

Autor: Ronan, Tom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1fb8db5214ee74dddf9f9b5c6130b17

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A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis

Autor: Noren, David P., Long, Byron L., Norel, Raquel, Rrhissorrakrai, Kahn, Hess, Kenneth, Chenyue Wendy, Hu, Bisberg, Alex J., Schultz, Andre, Engquist, Erik, Liu, Li, Lin, Xihui, Chen, Gregory M., Xie, Honglei, Hunter, Geoffrey A. M., Boutros, Paul C., Stepanov, Oleg, Abrams, Zachary, Ambrosini, Giovanna, Anastassiou, Dimitris, Baladandayuthapani, Veerabhadran, Batten, Kimberly, Bucher, Philipp, Buturovic, Ljubomir, Campion, Loic, Creighton, Chad J., Chen, Greg, Cheong, Jae Ho, DI CAMILLO, Barbara, Dreos, René, Estrada, Alan, Fatemi, Seyyed A., Fitzgerald, Andrew, Flynn, Jennifer, Fronczuk, Maciej, Weiyi, Gu, Guha, Subharup, Hosseini, Maryam, Hung, Ling Hong, Hunter, Geoffrey, Hwang, Tae Hyun, Kim, Daniel, Kim, Minsoo, Korra, Jyothi, Krstajic, Damjan, Kumar, Sunil, Kuh, Anthony, Jinpu, Li, Liu, Yashu, Mcmurray, James, Morgan, Daniel, Motiwala, Tasneem, Naegle, Kristen, Niemiec, Rafał, Oehler, Vivian G., Park, Sunho, Pattin, Alejandrina, Peabody, Andrea, Piraino, Scott W., Regan, Kelly, Ronan, Tom, Rościszewski, Antoni, Rudnicki, Witold, Sanavia, Tiziana, Santhanam, Narayana, Shay, Jerry, Tang, Hao, Vilar, Jose M. G., Wang, Tao, Wright, Woodring, Wrzesień, Mariusz, Xiao, Guanghua, Xie, Yang, Yang, Sen, Yang, Tai Hsien Ou, Yang, Tao, Jieping, Ye, Yeung, Ka Yee, Zang, Xiao, Zolfaghar, Kiyana, Żuk, Paweł, Norman, Thea, Friend, Stephen H., Stolovitzky, Gustavo, Kornblau, Steven, Qutub, Amina A.

Publikováno v: PLoS computational biology, vol 12, iss 6
PLoS Computational Biology
PLoS Computational Biology, Vol 12, Iss 6, p e1004890 (2016)

Acute Myeloid Leukemia (AML) is a fatal hematological cancer. The genetic abnormalities underlying AML are extremely heterogeneous among patients, making prognosis and treatment selection very difficult. While clinical proteomics data has the potenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f715a8dc14c5e7938bbac38184c08c55
https://doi.org/10.1371/journal.pcbi.1004890

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