Biomedical subjects

Saeed Tavazoie

Publications and source records attributed to Saeed Tavazoie.

8 recordsLinked to original sources

PubMed2005

Revealing posttranscriptional regulatory elements through network-level conservation.

We used network-level conservation between pairs of fly (Drosophila melanogaster/D. pseudoobscura) and worm (Caenorhabditis elegans/C. briggsae) genomes to detect highly conserved mRNA motifs in 3' untranslated regions. Many of these elements are complementary to the 5' extremity of known microRNAs (miRNAs), and likely correspond to their target sites. We also identify known targets of RNA-binding proteins, and many novel sites not yet known to be functional. Coherent sets of genes with similar function often bear the same conserved elements, providing new insights into their cellular functions. We also show that target sites for distinct miRNAs are often simultaneously conserved, suggesting combinatorial regulation by multiple miRNAs. A genome-wide search for conserved stem-loops, containing complementary sequences to the novel sites, revealed many new candidate miRNAs that likely target them. We also provide evidence that posttranscriptional networks have undergone extensive rewiring across distant phyla, despite strong conservation of regulatory elements themselves.

3' Untranslated Regions↗

PubMed2005

Fast and systematic genome-wide discovery of conserved regulatory elements using a non-alignment based approach.

We describe a powerful new approach for discovering globally conserved regulatory elements between two genomes. The method is fast, simple and comprehensive, without requiring alignments. Its application to pairs of yeasts, worms, flies and mammals yields a large number of known and novel putative regulatory elements. Many of these are validated by independent biological observations, have spatial and/or orientation biases, are co-conserved with other elements and show surprising conservation across large phylogenetic distances.

Animals↗

PubMed2004

Mapping global histone acetylation patterns to gene expression.

Histone acetyltransferases and deacetylases with specificities for different sites of acetylation affect common chromatin regions. This could generate unique patterns of acetylation that may specify downstream biological processes. To search for existence of these patterns and their relationship to gene activity, we analyzed the genome-wide acetylation profiles for eleven lysines in the four core histones of Saccharomyces cerevisiae. We find that both hyper- and hypoacetylation of individual lysines are associated with transcription, generating distinct patterns of acetylation that define groups of biologically related genes. The genes within these groups are significantly coexpressed, mediate similar physiological processes, share unique cis-regulatory DNA motifs, and are enriched for binding of specific transcription factors. Our data also indicate that the in vivo binding of the transcription factor Bdf1 is associated with acetylation on most lysines but relative deacetylation on H4 lysine 16. Thus, certain acetylation patterns may be used as surfaces for specific protein-histone interactions, providing one mechanism for coordinate regulation of chromatin processes that are biologically related.

Acetylation↗

PubMed2004

Ras and Gpa2 mediate one branch of a redundant glucose signaling pathway in yeast.

Addition of glucose to starved yeast cells elicits a dramatic restructuring of the transcriptional and metabolic state of the cell. While many components of the signaling network responsible for this response have been identified, a comprehensive view of this network is lacking. We have used global analysis of gene expression to assess the roles of the small GTP-binding proteins, Ras2 and Gpa2, in mediating the transcriptional response to glucose. We find that 90% of the transcriptional changes in the cell attendant on glucose addition are recapitulated by activation of Ras2 or Gpa2. In addition, we find that protein kinase A (PKA) mediates all of the Ras2 and Gpa2 transcriptional effects. However, we also find that most of the transcriptional effects of glucose addition to wild-type cells are retained in strains containing a PKA unresponsive to changes in cAMP levels. Thus, most glucose-responsive genes are regulated redundantly by a Ras/PKA-dependent pathway and by one or more PKA-independent pathways. Computational analysis extracted RRPE/PAC as the major response element for Ras and glucose regulation and revealed additional response elements mediating glucose and Ras regulation. These studies provide a paradigm for extracting the topology of signal transduction pathways from expression data.

Alleles↗

PubMed2004

Predicting gene expression from sequence.

We describe a systematic genome-wide approach for learning the complex combinatorial code underlying gene expression. Our probabilistic approach identifies local DNA-sequence elements and the positional and combinatorial constraints that determine their context-dependent role in transcriptional regulation. The inferred regulatory rules correctly predict expression patterns for 73% of genes in Saccharomyces cerevisiae, utilizing microarray expression data and sequences in the 800 bp upstream of genes. Application to Caenorhabditis elegans identifies predictive regulatory elements and combinatorial rules that control the phased temporal expression of transcription factors, histones, and germline specific genes. Successful prediction requires diverse and complex rules utilizing AND, OR, and NOT logic, with significant constraints on motif strength, orientation, and relative position. This system generates a large number of mechanistic hypotheses for focused experimental validation, and establishes a predictive dynamical framework for understanding cellular behavior from genomic sequence.

Animals↗

PubMed2004

A cross-genomic approach for systematic mapping of phenotypic traits to genes.

We present a computational method for de novo identification of gene function using only cross-organismal distribution of phenotypic traits. Our approach assumes that proteins necessary for a set of phenotypic traits are preferentially conserved among organisms that share those traits. This method combines organism-to-phenotype associations,along with phylogenetic profiles,to identify proteins that have high propensities for the query phenotype; it does not require the use of any functional annotations for any proteins. We first present the statistical foundations of this approach and then apply it to a range of phenotypes to assess how its performance depends on the frequency and specificity of the phenotype. Our analysis shows that statistically significant associations are possible as long as the phenotype is neither extremely rare nor extremely common; results on the flagella,pili, thermophily,and respiratory tract tropism phenotypes suggest that reliable associations can be inferred when the phenotype does not arise from many alternate mechanisms.

Bacterial Proteins↗

PubMed2003

Whole-genome discovery of transcription factor binding sites by network-level conservation.

Comprehensive identification of DNA cis-regulatory elements is crucial for a predictive understanding of transcriptional network dynamics. Strong evidence suggests that these DNA sequence motifs are highly conserved between related species, reflecting strong selection on the network of regulatory interactions that underlie common cellular behavior. Here, we exploit a systems-level aspect of this conservation-the network-level topology of these interactions-to map transcription factor (TF) binding sites on a genomic scale. Using network-level conservation as a constraint, our algorithm finds 71% of known TF binding sites in the yeast Saccharomyces cerevisiae, using only 12% of the sequence of a phylogenetic neighbor. Most of the novel predicted motifs show strong features of known TF binding sites, such as functional category and/or expression profile coherence of their corresponding genes. Network-level conservation should provide a powerful constraint for the systematic mapping of TF binding sites in the larger genomes of higher eukaryotes.

Algorithms↗

PubMed2002

Genome-wide binding map of the histone deacetylase Rpd3 in yeast.

We describe the genome-wide distribution of the histone deacetylase and repressor Rpd3 and its associated proteins Ume1 and Ume6 in Saccharomyces cerevisiae. Using a new cross-linking protocol, we found that Rpd3 binds upstream of many individual genes and upstream of members of gene classes with similar functions in anabolic processes. In addition, Rpd3 is preferentially associated with promoters that direct high transcriptional activity. We also found that Rpd3 was absent from large sub-telomeric domains. We show by co-immunoprecipitation and by the high similarity of their binding maps that Ume1 interacts with Rpd3. In contrast, despite the known role of Ume6 in Rpd3 recruitment, only a limited number of the genes targeted by Rpd3 are also enriched for (or targeted by) Ume6. This suggests that Rpd3 is brought to many promoters by alternative recruiters, some of which may bind the putative cis-regulatory DNA elements that we have identified in sets of Rpd3 target genes. Finally, we show that comparing the genome-wide pattern of Rpd3 binding with gene expression and histone acetylation in the rpd3 Delta mutant strain reveals new sites of Rpd3 function.

Acetylation↗