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Links from GEO DataSets

Items: 20

1.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [RG_Elk1Ets1Gabpa_v1]

(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
Series
Accession:
GSE97793
ID:
200097793
2.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [uPBM_Runx1Runx2]

(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
Series
Accession:
GSE117350
ID:
200117350
3.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [uPBM_E2f1E2f3E2f]

(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
Series
Accession:
GSE117349
ID:
200117349
4.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [uPBM_Elk1Ets1Gabpa]

(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
Series
Accession:
GSE117348
ID:
200117348
5.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [uPBM_Elk1Ets1Gabpa_MycMaxMad]

(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
Series
Accession:
GSE102810
ID:
200102810
6.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [RG_E2F1-3-4_cust2_v1]

(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:
synthetic construct; Homo sapiens
Type:
Other
Platform:
GPL19244
5 Samples
Download data: TXT, XLSX
Series
Accession:
GSE97886
ID:
200097886
7.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [RG_MycMaxMad_v1]

(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
Series
Accession:
GSE97885
ID:
200097885
8.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; synthetic construct
Type:
Genome binding/occupancy profiling by array
5 related Platforms
28 Samples
Download data: TXT
Series
Accession:
GSE97794
ID:
200097794
9.

Divergence in DNA specificity among paralogous transcription factors contributes to their differential in vivo binding [RG_Runx1Runx2_v1]

(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
Series
Accession:
GSE97691
ID:
200097691
10.

Genomic regions flanking E-box sites influence DNA binding specificity of bHLH transcription factors through DNA shape

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Saccharomyces cerevisiae
Type:
Protein profiling by protein array
Platforms:
GPL16704 GPL16703
5 Samples
Download data: TXT
Series
Accession:
GSE44604
ID:
200044604
11.

Genomic regions flanking E-box sites influence DNA binding specificity of bHLH transcription factors through DNA shape (validation)

(Submitter supplied) DNA sequence is a major determinant of the binding specificity of transcription factors (TFs) for their genomic targets. However, eukaryotic cells often express, at the same time, TFs with highly similar DNA binding motifs but distinct in vivo targets. Currently, it is not well understood how TFs with seemingly identical DNA motifs achieve unique specificities in vivo. Here, we used custom protein binding microarrays to analyze TF specificity for putative binding sites in their genomic sequence context. more...
Organism:
Saccharomyces cerevisiae
Type:
Protein profiling by protein array
Platform:
GPL16704
2 Samples
Download data: TXT
Series
Accession:
GSE44437
ID:
200044437
12.

Genomic regions flanking E-box sites influence DNA binding specificity of bHLH transcription factors through DNA shape (different concentrations)

(Submitter supplied) DNA sequence is a major determinant of the binding specificity of transcription factors (TFs) for their genomic targets. However, eukaryotic cells often express, at the same time, TFs with highly similar DNA binding motifs but distinct in vivo targets. Currently, it is not well understood how TFs with seemingly identical DNA motifs achieve unique specificities in vivo. Here, we used custom protein binding microarrays to analyze TF specificity for putative binding sites in their genomic sequence context. more...
Organism:
Saccharomyces cerevisiae
Type:
Protein profiling by protein array
Platform:
GPL16703
3 Samples
Download data: TXT
Series
Accession:
GSE44436
ID:
200044436
13.

P. falciparum-specific Genomic Context Protein-Binding Microarray

(Submitter supplied) Development of the human malaria parasite, Plasmodium falciparum is regulated by a limited number of sequence-specific transcription factors (TFs). However, the mechanisms by which these TFs recognize genome-wide binding sites to regulate target genes is still largely unknown. To address TF target specificity, we investigated the binding of two TF subsets that either bind CACACA or GTGCAC and further characterized PfAP2-G and PfAP2-EXP which bind unique DNA motifs (GTAC and TGCATGCA). more...
Organism:
Plasmodium falciparum
Type:
Other
Platform:
GPL33273
12 Samples
Download data: GPR, TXT
Series
Accession:
GSE227873
ID:
200227873
14.

DNA sequence context and the chromatin landscape differentiate sequence-specific transcription factor binding in the human malaria parasite, Plasmodium falciparum

(Submitter supplied) Global transcription of the malaria parasite, Plasmodium falciparum, is finely regulated, yet the genome encodes for a limited number of sequence-specific transcription factors (TFs) to coordinate this pattern. A subset of these TFs bind overlapping DNA motifs (i.e., CACACA and GTGCAC); however, mechanisms of binding site selection and redundancy have not yet been investigated in P. falciparum. Therefore, we integrated a variety of approaches from new and published work such as high-throughput in vitro and in vivo binding assays, DNA shape predictions, epigenetic post translational modification mapping, and genome-wide chromatin accessibility mapping to comprehensively interrogate the impact of DNA sequence context and the chromatin landscape on TF binding in P. more...
Organism:
Plasmodium falciparum
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL32020 GPL21078
8 Samples
Download data: BED, BIGWIG
Series
Accession:
GSE212052
ID:
200212052
15.

Competition for DNA binding between paralogous transcription factors determines their genomic occupancy and regulatory functions

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Saccharomyces cerevisiae; synthetic construct
Type:
Other
Platform:
GPL29513
22 Samples
Download data: TXT
Series
Accession:
GSE163512
ID:
200163512
16.

Competition for DNA binding between paralogous transcription factors determines their genomic occupancy and regulatory functions [titration]

(Submitter supplied) Most eukaryotic transcription factors (TFs) are part of large protein families, with members of the same family (i.e. paralogous TFs) recognizing similar DNA-binding motifs but performing different regulatory functions. Many TF paralogs are co-expressed in the cell, and thus can compete for target sites across the genome. Here, we show that direct competition for DNA binding between TF paralogs is a major determinant of their genomic binding patterns. more...
Organism:
synthetic construct; Saccharomyces cerevisiae
Type:
Other
Platform:
GPL29513
8 Samples
Download data: TXT
Series
Accession:
GSE163511
ID:
200163511
17.

Competition for DNA binding between paralogous transcription factors determines their genomic occupancy and regulatory functions [competition]

(Submitter supplied) Most eukaryotic transcription factors (TFs) are part of large protein families, with members of the same family (i.e. paralogous TFs) recognizing similar DNA-binding motifs but performing different regulatory functions. Many TF paralogs are co-expressed in the cell, and thus can compete for target sites across the genome. Here, we show that direct competition for DNA binding between TF paralogs is a major determinant of their genomic binding patterns. more...
Organism:
synthetic construct; Saccharomyces cerevisiae
Type:
Other
Platform:
GPL29513
14 Samples
Download data: TXT
Series
Accession:
GSE163509
ID:
200163509
18.

Quantitative modeling of transcription factor binding specificities using DNA shape

(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
Series
Accession:
GSE60200
ID:
200060200
19.

Quantitative modeling of transcription factor binding specificities using DNA shape

(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
Series
Accession:
GSE59845
ID:
200059845
20.

Evaluation of methods for modeling transcription factor sequence specificity

(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
Series
Accession:
GSE42864
ID:
200042864
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