GEO DataSets

(Submitter supplied) Genomic analyses often involve scanning for potential transcription-factor (TF) binding sites using models of the sequence specificity of DNA binding proteins. Many approaches have been developed to model and learn a protein’s binding specificity by representing sequence motifs, including the gaps and dependencies between binding-site residues, but these methods have not been systematically compared. more...

Organism:

synthetic construct

Type:

Other

Platform:

GPL11260

172 Samples

Download data: TXT

(Submitter supplied) Transcription factors (TFs) play a central role in regulating gene expression by interacting with cis regulatory DNA elements associated with their target genes. Recent surveys have examined the DNA binding specificities of most Saccharomyces cerevisiae transcription factors but a comprehensive evaluation of their data has been lacking. Results: We analyzed in vitro and in vivo TF-DNA binding data reported in previous large-scale studies to generate a comprehensive, curated resource of DNA binding specificity data for all characterized S. more...

Organism:

synthetic construct; Saccharomyces cerevisiae

Type:

Other

Platform:

GPL6796

27 Samples

Download data

(Submitter supplied) The SELEX-seq platform was used to generate DNA-binding affinity predictions for the human Max transcription factor. This experiment was performed as part of a cross-validation study comparing the accuracy of DNA shape-augmented TF binding specificity models across two different platforms (SELEX-seq and gcPBM)

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL16791

1 Sample

Download data: TXT

(Submitter supplied) Accurate predictions of the DNA binding specificities of transcription factors (TFs) are necessary for understanding gene regulatory mechanisms. Traditionally, predictive models are built based on nucleotide sequence features. Here, we employed three- dimensional DNA shape information obtained on a high-throughput basis to integrate intuitive DNA structural features into the modeling of TF binding specificities using support vector regression. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL17173

3 Samples

Download data: TXT

(Submitter supplied) Motivation: The DNA binding specificity of a transcription factor (TF) is typically represented using a position weight matrix (PWM) model, which implicitly assumes that individual bases in a TF binding site contribute independently to the binding affinity, an assumption that does not always hold. For this reason, more complex models of binding specificity have been developed. However, these models have their own caveats: they typically have a large number of parameters, which makes them hard to learn and interpret. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL17173

4 Samples

Download data: TXT

(Submitter supplied) We used microarrays to detail the global program of gene expression underlying rRNA processing gene regulation during heat shock. PBF1 is YBL054W (TOD6) and PBF2 is YER088C (DOT6).

Organism:

Saccharomyces cerevisiae; Schizosaccharomyces pombe

Type:

Expression profiling by array

Platform:

GPL2529

24 Samples

Download data: CEL, TXT

(Submitter supplied) Until now, it has been reasonably assumed that specific base-pair recognition is the only mechanism controlling the specificity of transcription factor (TF)−DNA binding. Contrary to this assumption, here we show that nonspecific DNA sequences possessing certain repeat symmetries, when present outside of specific TF binding sites (TFBSs), statistically control TF−DNA binding preferences. We used high-throughput protein−DNA binding assays to measure the binding levels and free energies of binding for several human TFs to tens of thousands of short DNA sequences with varying re- peat symmetries. more...

Organism:

synthetic construct; Homo sapiens

Type:

Other

Platform:

GPL19252

4 Samples

Download data: GPR, TXT

(Submitter supplied) The E2F family of transcription factors is typically described as binding the family consensus sequence TTTSSCGC, were S is G or C. Analysis of ChIP-seq experiments, however, reveals that this consensus sequence is found in only 10% of ChIP-seq peaks, suggesting that the mechanism for E2F sequence recognition cannot be explained using previous assumptions. In order to better understand E2F sequence specificity, we performed high-throughput Universal Protein Binding Microarray experiments to obtain the relative binding affinity for every possible 8-mer, as well a large number of bound and unbound probes intheir native genomic sequence context. more...

Organism:

Homo sapiens; synthetic construct

Type:

Other

Platform:

GPL19244

3 Samples

Download data: GPR, TXT

(Submitter supplied) Biological processes are usually associated with genome-wide remodeling of transcription driven by transcription factors (TFs). Identifying key TFs and their spatiotemporal binding patterns are indispensable to understanding how dynamic processes are programmed. We present a computational method, dynamic motif occupancy (DynaMO), which exploits random forest modeling and clustering based enrichment analysis. more...

Organism:

Saccharomyces cerevisiae

Type:

Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL17342

30 Samples

Download data: FPKM_TRACKING, TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL23935

2 Samples

Download data: TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL23935

3 Samples

Download data: TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL23935

3 Samples

Download data: TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL23935

3 Samples

Download data: TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens; synthetic construct

Type:

Other

Platform:

GPL19244

5 Samples

Download data: TXT, XLSX

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL17173

4 Samples

Download data: TXT, XLSX

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

synthetic construct; Homo sapiens

Type:

Genome binding/occupancy profiling by array

5 related Platforms

28 Samples

Download data: TXT

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL23305

4 Samples

Download data: TXT, XLSX

(Submitter supplied) Members of transcription factor (TF) families, i.e. paralogous TFs, are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions in the cell. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein cofactors or the chromatin environment. Contrary to previous assumptions, we find that paralogous TFs have different intrinsic preferences for DNA, not captured by current motif models, and these differences partly explain differential genomic binding and functional specificity. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by array

Platform:

GPL23293

4 Samples

Download data: TXT, XLSX

(Submitter supplied) GWAS have discovered thousands of genomic loci that are associated with disease risk and quantitative traits, but most of the variants responsible for risk remain uncharacterized. The vast majority of GWAS-identified loci contain non-coding SNPs and defining molecular mechanism of risk is challenging. Many non-coding causal SNPs are hypothesized to alter Transcription Factor (TF) binding sites as the mechanism by which they affect organismal phenotypes. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL18573

5 Samples

Download data: BED, BEDGRAPH, BIGWIG

(Submitter supplied) Transcription factor (TF) binding specificities (motifs) are essential to the analysis of noncoding DNA and gene regulation. Accurate prediction of TF sequence specificities is critical, because the hundreds of sequenced eukaryotic genomes encompass hundreds of thousands of TFs, and assaying each is currently infeasible. There is ongoing controversy regarding the efficacy of motif prediction methods, as well as the degree of motif diversification among related species. more...

Organism:

synthetic construct

Type:

Other

Platform:

GPL11260

682 Samples

Download data: TXT