The major aims of the Genomic Functional Analysis Section are to identify cis-and trans-acting functional elements in vertebrate genomes using comparative analyses. The approach utilizes multi-species, whole-genome sequence alignments to identify conserved noncoding regions, examine patterns of sequence mutation within those elements, and test for changes in expression levels that correspond to changes in the sequences acquired through speciation events. Functional elements under consideration include any elements that comprise collections of transcription factor binding sites such as enhancers, silencers, promoters, and microRNA regulatory regions, elements that are exceptionally conserved, such as ultra-conserved elements, or those that contain uncharacterized structural features such as origins of replication. Collaborative efforts of mine with Penn State University have resulted in evolutionary analyses of promoters that study selection on TATA motifs or CpG islands by using multispecies sequence alignments of human/dog/mouse/chicken. A second study also utilizes sequence comparison to find putative regulatory motifs that control the expression of microRNA from nongenic locations. A related collaborative effort, with NHGRI, involves building a database to house microarray data from the ENCODE consortium. These important data contain information on transcription factor binding sites identified through ChIP-chip assays. The data are used as positive controls for the aforementioned predictions of genomic regulatory regions and for the identification of regions that are targets for future experimental analyses.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Intramural Research (Z01)
Project #
1Z01HG200323-01
Application #
7148000
Study Section
(GTB)
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2005
Total Cost
Indirect Cost
Name
Human Genome Research
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Margolin, Gennady; Petrykowska, Hanna M; Jameel, Nader et al. (2016) Robust Detection of DNA Hypermethylation of ZNF154 as a Pan-Cancer Locus with in Silico Modeling for Blood-Based Diagnostic Development. J Mol Diagn 18:283-98
Lichtenberg, Jens; Jacox, Edwin; Welch, Joshua D et al. (2009) Word-based characterization of promoters involved in human DNA repair pathways. BMC Genomics 10 Suppl 1:S18
Piontkivska, Helen; Yang, Mary Q; Larkin, Denis M et al. (2009) Cross-species mapping of bidirectional promoters enables prediction of unannotated 5' UTRs and identification of species-specific transcripts. BMC Genomics 10:189
Jacox, Edwin; Elnitski, Laura (2008) Finding Occurrences of Relevant Functional Elements in Genomic Signatures. Int J Comput Sci 2:599-606
Yang, Mary Qu; Elnitski, Laura L (2008) Prediction-based approaches to characterize bidirectional promoters in the mammalian genome. BMC Genomics 9 Suppl 1:S2
Petrykowska, Hanna M; Vockley, Christopher M; Elnitski, Laura (2008) Detection and characterization of silencers and enhancer-blockers in the greater CFTR locus. Genome Res 18:1238-46
Yang, Mary Qu; Taylor, James; Elnitski, Laura (2008) Comparative analyses of bidirectional promoters in vertebrates. BMC Bioinformatics 9 Suppl 6:S9
Yang, Mary Qu; Elnitski, Laura L (2007) A computational study of bidirectional promoters in the human genome. Lect Notes Comput Sci 4463:361-371
Elnitski, Laura L; Shah, Prachi; Moreland, R Travis et al. (2007) The ENCODEdb portal: simplified access to ENCODE Consortium data. Genome Res 17:954-9
Yang, Mary Q; Koehly, Laura M; Elnitski, Laura L (2007) Comprehensive annotation of bidirectional promoters identifies co-regulation among breast and ovarian cancer genes. PLoS Comput Biol 3:e72

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