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Full-Text Articles in Genetics and Genomics
Bcl11b And Combinatorial Resolution Of Cell Fate In The T-Cell Gene Regulatory Network., William J R Longabaugh, Weihua Zeng, Jingli A Zhang, Hiroyuki Hosokawa, Camden S Jansen, Long Li, Maile Romero-Wolf, Pentao Liu, Hao Yuan Kueh, Ali Mortazavi, Ellen V Rothenberg
Bcl11b And Combinatorial Resolution Of Cell Fate In The T-Cell Gene Regulatory Network., William J R Longabaugh, Weihua Zeng, Jingli A Zhang, Hiroyuki Hosokawa, Camden S Jansen, Long Li, Maile Romero-Wolf, Pentao Liu, Hao Yuan Kueh, Ali Mortazavi, Ellen V Rothenberg
Articles, Abstracts, and Reports
T-cell development from hematopoietic progenitors depends on multiple transcription factors, mobilized and modulated by intrathymic Notch signaling. Key aspects of T-cell specification network architecture have been illuminated through recent reports defining roles of transcription factors PU.1, GATA-3, and E2A, their interactions with Notch signaling, and roles of Runx1, TCF-1, and Hes1, providing bases for a comprehensively updated model of the T-cell specification gene regulatory network presented herein. However, the role of lineage commitment factor Bcl11b has been unclear. We use self-organizing maps on 63 RNA-seq datasets from normal and perturbed T-cell development to identify functional targets of Bcl11b during commitment …
Solving The Influence Maximization Problem Reveals Regulatory Organization Of The Yeast Cell Cycle., David L Gibbs, Ilya Shmulevich
Solving The Influence Maximization Problem Reveals Regulatory Organization Of The Yeast Cell Cycle., David L Gibbs, Ilya Shmulevich
Articles, Abstracts, and Reports
The Influence Maximization Problem (IMP) aims to discover the set of nodes with the greatest influence on network dynamics. The problem has previously been applied in epidemiology and social network analysis. Here, we demonstrate the application to cell cycle regulatory network analysis for Saccharomyces cerevisiae. Fundamentally, gene regulation is linked to the flow of information. Therefore, our implementation of the IMP was framed as an information theoretic problem using network diffusion. Utilizing more than 26,000 regulatory edges from YeastMine, gene expression dynamics were encoded as edge weights using time lagged transfer entropy, a method for quantifying information transfer between variables. …
Modulation Of Bax And Mtor For Cancer Therapeutics., Rui Li, Chunyong Ding, Jun Zhang, Maohua Xie, Dongkyoo Park, Ye Ding, Guo Chen, Guojing Zhang, Melissa Gilbert-Ross, Wei Zhou, Adam I Marcus, Shi-Yong Sun, Zhuo G Chen, Gabriel L Sica, Suresh S Ramalingam, Andrew T Magis, Haian Fu, Fadlo R Khuri, Walter J Curran, Taofeek K Owonikoko, Dong M Shin, Jia Zhou, Xingming Deng
Modulation Of Bax And Mtor For Cancer Therapeutics., Rui Li, Chunyong Ding, Jun Zhang, Maohua Xie, Dongkyoo Park, Ye Ding, Guo Chen, Guojing Zhang, Melissa Gilbert-Ross, Wei Zhou, Adam I Marcus, Shi-Yong Sun, Zhuo G Chen, Gabriel L Sica, Suresh S Ramalingam, Andrew T Magis, Haian Fu, Fadlo R Khuri, Walter J Curran, Taofeek K Owonikoko, Dong M Shin, Jia Zhou, Xingming Deng
Articles, Abstracts, and Reports
A rationale exists for pharmacologic manipulation of the serine (S)184 phosphorylation site of the proapoptotic Bcl2 family member Bax as an anticancer strategy. Here, we report the refinement of the Bax agonist SMBA1 to generate CYD-2-11, which has characteristics of a suitable clinical lead compound. CYD-2-11 targeted the structural pocket proximal to S184 in the C-terminal region of Bax, directly activating its proapoptotic activity by inducing a conformational change enabling formation of Bax homooligomers in mitochondrial membranes. In murine models of small-cell and non-small cell lung cancers, including patient-derived xenograft and the genetically engineered mutant KRAS-driven lung cancer models, CYD-2-11 …
Mir-144 Attenuates The Host Response To Influenza Virus By Targeting The Traf6-Irf7 Signaling Axis., Carrie M Rosenberger, Rebecca L Podyminogin, Alan H Diercks, Piper M Treuting, Jacques J Peschon, David Rodriguez, Madhumati Gundapuneni, Mitchell J Weiss, Alan Aderem
Mir-144 Attenuates The Host Response To Influenza Virus By Targeting The Traf6-Irf7 Signaling Axis., Carrie M Rosenberger, Rebecca L Podyminogin, Alan H Diercks, Piper M Treuting, Jacques J Peschon, David Rodriguez, Madhumati Gundapuneni, Mitchell J Weiss, Alan Aderem
Articles, Abstracts, and Reports
Antiviral responses must rapidly defend against infection while minimizing inflammatory damage, but the mechanisms that regulate the magnitude of response within an infected cell are not well understood. miRNAs are small non-coding RNAs that suppress protein levels by binding target sequences on their cognate mRNA. Here, we identify miR-144 as a negative regulator of the host antiviral response. Ectopic expression of miR-144 resulted in increased replication of three RNA viruses in primary mouse lung epithelial cells: influenza virus, EMCV, and VSV. We identified the transcriptional network regulated by miR-144 and demonstrate that miR-144 post-transcriptionally suppresses TRAF6 levels. In vivo ablation …
A Systematic Study Of Dysregulated Microrna In Type 2 Diabetes Mellitus., Yuqing He, Yuanlin Ding, Biyu Liang, Juanjuan Lin, Taek-Kyun Kim, Haibing Yu, Hanwei Hang, Kai Wang
A Systematic Study Of Dysregulated Microrna In Type 2 Diabetes Mellitus., Yuqing He, Yuanlin Ding, Biyu Liang, Juanjuan Lin, Taek-Kyun Kim, Haibing Yu, Hanwei Hang, Kai Wang
Articles, Abstracts, and Reports
MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified. To investigate the involvement of miRNAs in T2DM, we obtained and analyzed all relevant studies published prior to 18 October 2016 from various literature databases. From 59 independent studies that met the inclusion criteria, we identified 158 dysregulated miRNAs in …