7 results on '"Kirilusha, Anthony"'
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2. Genetic regulatory signatures underlying islet gene expression and type 2 diabetes
- Author
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NISC Comparative Sequencing Program, Varshney, Arushi, Scott, Laura J., Welch, Ryan P., Erdos, Michael R., Chines, Peter S., Narisu, Narisu, Albanus, Ricardo D’O., Orchard, Peter, Wolford, Brooke N., Kursawe, Romy, Vadlamudi, Swarooparani, Cannon, Maren E., Didion, John P., Hensley, John, Kirilusha, Anthony, Bonnycastle, Lori L., Taylor, D. Leland, Watanabe, Richard, Mohlke, Karen L., Boehnke, Michael, Collins, Francis S., Parker, Stephen C. J., and Stitzel, Michael L.
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- 2017
3. A comparative encyclopedia of DNA elements in the mouse genome
- Author
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Yue, Feng, Cheng, Yong, Breschi, Alessandra, Vierstra, Jeff, Wu, Weisheng, Ryba, Tyrone, Sandstrom, Richard, Ma, Zhihai, Davis, Carrie, Pope, Benjamin D., Shen, Yin, Pervouchine, Dmitri D., Djebali, Sarah, Thurman, Robert E., Kaul, Rajinder, Rynes, Eric, Kirilusha, Anthony, Marinov, Georgi K., Williams, Brian A., Trout, Diane, Amrhein, Henry, Fisher-Aylor, Katherine, Antoshechkin, Igor, DeSalvo, Gilberto, See, Lei-Hoon, Fastuca, Meagan, Drenkow, Jorg, Zaleski, Chris, Dobin, Alex, Prieto, Pablo, Lagarde, Julien, Bussotti, Giovanni, Tanzer, Andrea, Denas, Olgert, Li, Kanwei, Bender, M. A., Zhang, Miaohua, Byron, Rachel, Groudine, Mark T., McCleary, David, Pham, Long, Ye, Zhen, Kuan, Samantha, Edsall, Lee, Wu, Yi-Chieh, Rasmussen, Matthew D., Bansal, Mukul S., Kellis, Manolis, Keller, Cheryl A., Morrissey, Christapher S., Mishra, Tejaswini, Jain, Deepti, Dogan, Nergiz, Harris, Robert S., Cayting, Philip, Kawli, Trupti, Boyle, Alan P., Euskirchen, Ghia, Kundaje, Anshul, Lin, Shin, Lin, Yiing, Jansen, Camden, Malladi, Venkat S., Cline, Melissa S., Erickson, Drew T., Kirkup, Vanessa M., Learned, Katrina, Sloan, Cricket A., Rosenbloom, Kate R., Lacerda de Sousa, Beatriz, Beal, Kathryn, Pignatelli, Miguel, Flicek, Paul, Lian, Jin, Kahveci, Tamer, Lee, Dongwon, James Kent, W., Ramalho Santos, Miguel, Herrero, Javier, Notredame, Cedric, Johnson, Audra, Vong, Shinny, Lee, Kristen, Bates, Daniel, Neri, Fidencio, Diegel, Morgan, Canfield, Theresa, Sabo, Peter J., Wilken, Matthew S., Reh, Thomas A., Giste, Erika, Shafer, Anthony, Kutyavin, Tanya, Haugen, Eric, Dunn, Douglas, Reynolds, Alex P., Neph, Shane, Humbert, Richard, Scott Hansen, R., De Bruijn, Marella, Selleri, Licia, Rudensky, Alexander, Josefowicz, Steven, Samstein, Robert, Eichler, Evan E., Orkin, Stuart H., Levasseur, Dana, Papayannopoulou, Thalia, Chang, Kai-Hsin, Skoultchi, Arthur, Gosh, Srikanta, Disteche, Christine, Treuting, Piper, Wang, Yanli, Weiss, Mitchell J., Blobel, Gerd A., Cao, Xiaoyi, Zhong, Sheng, Wang, Ting, Good, Peter J., Lowdon, Rebecca F., Adams, Leslie B., Zhou, Xiao-Qiao, Pazin, Michael J., Feingold, Elise A., Wold, Barbara, Taylor, James, Mortazavi, Ali, Weissman, Sherman M., Stamatoyannopoulos, John A., Snyder, Michael P., Guigo, Roderic, Gingeras, Thomas R., Gilbert, David M., Hardison, Ross C., Beer, Michael A., and Ren, Bing
- Subjects
Man -- Genetic aspects ,Genetic research ,Human beings -- Genetic aspects ,Genomes -- Comparative analysis ,Mice -- Genetic aspects ,Environmental issues ,Science and technology ,Zoology and wildlife conservation - Abstract
The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain greater insights into both shared and species-specific transcriptional and cellular regulatory programs in the mouse, the Mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types. By comparing with the human genome, we not only confirm substantial conservation in the newly annotated potential functional sequences, but also find a large degree of divergence of sequences involved in transcriptional regulation, chromatin state and higher order chromatin organization. Our results illuminate the wide range of evolutionary forces acting on genes and their regulatory regions, and provide a general resource for research into mammalian biology and mechanisms of human diseases., Author(s): Feng Yue [1, 2]; Yong Cheng [3]; Alessandra Breschi [4]; Jeff Vierstra [5]; Weisheng Wu [6]; Tyrone Ryba [7]; Richard Sandstrom [5]; Zhihai Ma [3]; Carrie Davis [8]; Benjamin [...]
- Published
- 2014
- Full Text
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4. Transcription Factor Occupancy in Differentiating Skeletal Muscle
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Kirilusha, Anthony George
- Subjects
myogenin ,transcriptional regulation ,myogenesis ,skeletal muscle ,musculoskeletal system ,Biology ,occupancy - Abstract
With recent advances in high-throughput sequencing, mapping of genome-wide transcription factor occupancy has become feasible. To advance the understanding of skeletal muscle differentiation specifically and transcriptional regulation in general, I determined the genome-wide occupancy map for myogenin in differentiating C2C12 myocyte cells. I then analyzed the myogenin map for underlying sequence content and the association between occupied elements and expression trajectories of adjacent genes. Having determined that myogenin primarily associates with expressed genes, I performed a similar analysis on occupancy maps of other transcription factors active during skeletal muscle differentiation, including an extensive analysis of co-occupancy. This analysis provided strong motif evidence for protein-protein interactions as the primary driving force in the formation of Myogenin / Mef2 and MyoD / AP-1 complexes at jointly-occupied sites. Finally, factor occupancy analysis was extended to include bHLH transcription factors in tissues other than skeletal muscle. The cross-tissue analysis led to the emergence of a motif structure used by bHLH TFs to encode either tissue-specific or "general" (public) access in a variety of lineages.
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- 2014
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5. Genetic regulatory signatures underlying islet gene expression and type 2 diabetes.
- Author
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Varshney, Arushi, Scott, Laura J., Welch, Ryan P., Erdos, Michael R., Chines, Peter S., Narisu, Narisu, Albanus, Ricardo D’O., Orchard, Peter, Wolford, Brooke N., Kursawe, Romy, Vadlamudi, Swarooparani, Cannon, Maren E., Didion, John P., Hensley, John, Kirilusha, Anthony, Bonnycastle, Lori L., Taylor, D. Leland, Watanabe, Richard, Mohlke, Karen L., and Boehnke, Michael
- Subjects
GENETICS of type 2 diabetes ,GENETIC regulation ,GENE expression ,TRANSCRIPTION factors ,SINGLE nucleotide polymorphisms - Abstract
Genome-wide association studies (GWAS) have identified >100 independent SNPs that modulate the risk of type 2 diabetes (T2D) and related traits. However, the pathogenic mechanisms of most of these SNPs remain elusive. Here, we examined genomic, epigenomic, and transcriptomic profiles in human pancreatic islets to understand the links between genetic variation, chromatin landscape, and gene expression in the context of T2D. We first integrated genome and transcriptome variation across 112 islet samples to produce dense cis-expression quantitative trait loci (cis-eQTL) maps. Additional integration with chromatin-state maps for islets and other diverse tissue types revealed that cis-eQTLs for islet-specific genes are specifically and significantly enriched in islet stretch enhancers. High-resolution chromatin accessibility profiling using assay for transposase-accessible chromatin sequencing (ATAC-seq) in two islet samples enabled us to identify specific transcription factor (TF) footprints embedded in active regulatory elements, which are highly enriched for islet cis-eQTL. Aggregate allelic bias signatures in TF footprints enabled us de novo to reconstruct TF binding affinities genetically, which support the high-quality nature of the TF footprint predictions. Interestingly, we found that T2D GWAS loci were strikingly and specifically enriched in islet Regulatory Factor X (RFX) footprints. Remarkably, within and across independent loci, T2D risk alleles that overlap with RFX footprints uniformly disrupt the RFX motifs at high-information content positions. Together, these results suggest that common regulatory variations have shaped islet TF footprints and the transcriptome and that a confluent RFX regulatory grammar plays a significant role in the genetic component of T2D predisposition. [ABSTRACT FROM AUTHOR]
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- 2017
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6. Investigating ChIP-seq derived candidate cis-regulatory regions in two different developmental systems
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Fisher, Katherine, primary, Ozdemir, Anil, additional, Kwan, Gordon, additional, Pepke, Shirley, additional, Kirilusha, Anthony, additional, DeSalvo, Gilberto, additional, Stathopoulos, Angelike, additional, and Wold, Barbara, additional
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- 2010
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7. 18-P012 The muscle gene regulatory network
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Williams, Brian, primary, Mortazavil, Ali, additional, Kirilusha, Anthony, additional, Fisher, Katherine, additional, Marinov, Georgi, additional, DeSalvo, Gilberto, additional, McCue, Ken, additional, and Wold, Barbara, additional
- Published
- 2009
- Full Text
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