Comparative genomics modeling of the NRSF/REST repressor network: From single conserved sites to genome-wide repertoire
Abstract
We constructed and applied an open source informatic framework called Cistematic in an effort to predict the target gene repertoire for transcription factors with large binding sites. Cistematic uses two different evolutionary conservation-filtering algorithms in conjunction with several analysis modules. Beginning with a single conserved and biologically tested site for the neuronal repressor NRSF/REST, Cistematic generated a refined PSFM (position specific frequency matrix) based on conserved site occurrences in mouse, human, and dog genomes. Predictions from this model were validated by chromatin immunoprecipitation (ChIP) followed by quantitative PCR. The combination of transfection assays and ChIP enrichment data provided an objective basis for setting a threshold for membership and rank-ordering a final gene cohort model consisting of 842 high-confidence sites in the human genome associated with 733 genes. Statistically significant enrichment of NRSE-associated genes was found for neuron-specific Gene Ontology (GO) terms and neuronal mRNA expression profiles. A more extensive evolutionary survey showed that NRSE sites matching the PSFM model exist in roughly similar numbers in all fully sequenced vertebrate genomes but are notably absent from invertebrate and protochordate genomes, as is NRSF itself. Some NRSF/REST sites reside in repeats, which suggests a mechanism for both ancient and modern dispersal of NRSEs through vertebrate genomes. Multiple predicted sites are located near neuronal microRNA and splicing-factor genes, and these tested positive for NRSF/REST occupancy in vivo. The resulting network model integrates post-transcriptional and translational controllers, including candidate feedback loops on NRSF and its corepressor, CoREST.
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REST interacts with CoREST and other transcriptional repressors to regulate neuronal gene expression and lineage commitment through its direct control of both mRNA and miRNA transcripts.
“REST interacts with CoREST and other transcriptional repressors to regulate neuronal gene expression and lineage commitment through its direct control of both mRNA and, as shown more recently, miRNA transcripts (Vo et al., 2005; Conaco et al., 2006; Mortazavi et al., 2006 ; Visvanathan et al., 2007).”
From The Bifunctional microRNA miR-9/miR-9* Regulates REST and CoREST and Is Downregulated in Huntington's Disease (2008) · cites this paper as Mortazavi et al., 2006
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Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578 · see citing works
Nova regulates brain-specific splicing to shape the synapse
Ule, J., Ule, A., Spencer, J., Williams, A., Hu, J.-S., Cline, M., Wang, H., Clark, T., Fraser, C., Ruggiu, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1610 · Cited by 509 · see citing works
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- Andres, M.E., Burger, C., Peral-Rubio, M.J., Battaglioli, E., Anderson, M.E., Grimes, J., Dallman, J., Ballas, N., and Mandel, G. 1999. CoREST: A functional corepressor required for regulation of neural-specific gene expression. Proc. Natl. Acad. Sci. 96: 9873-9878.
- Bruce, A.W., Donaldson, I.J., Wood, I.C., Yerbury, S.A., Sadowski, M.I., Chapman, M., Göttgens, B., and Buckley, N.J. 2004. Genome-wide analysis of repressor element 1 silencing transcription factor/neuron-restrictive silencing factor (REST/NRSF) target genes. Proc. Natl. Acad. Sci. 101: 10458-10463.
- Conaco, C., Otto, S., Han, J., and Mandel, G. 2006. Reciprocal actions of REST and a microRNA promote neuronal identity. Proc. Natl. Acad. Sci. 103: 2422-2427.
- Gradwohl, G., Dierich, A., LeMeur, M., and Guillemot, F. 2000. Neurogenin3 is required for the development of the four endocrine cell lineages of the pancreas. Proc. Natl. Acad. Sci. 97: 1607-1611.
- Schoenherr, C.J., Paquette, A.J., and Anderson, D.J. 1996. Identification of potential target genes for the neuron-restrictive silencer factor. Proc. Natl. Acad. Sci. 93: 9881-9886.
- Su, A.I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K.A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. 2004. A gene atlas of the mouse and human protein-encoding transcriptomes. Proc. Natl. Acad. Sci. 101: 6062-6067.
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- Authors
- Mortazavi, A., Thompson, E. C. L., Garcia, S. T., Myers, R. M., & Wold, B.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2006-09-08
- Volume
- 16
- Issue
- 10
- Pages
- 1208-1221
- ISSN
- 1088-9051
- Cited by
- 141
- References
- 2
- Language
- en
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