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Results for “Transcription factor binding”

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At least 19 recordsLinked to original sources

PubMed1988

Sp1 transcription factor binds DNA and activates transcription even when the binding site is CpG methylated.

In vertebrates, a negative correlation between gene activity and CpG methylation of DNA, notably in the promoter region, is well established. Therefore, it is conceivable that differential binding of transcription factors to methylated versus unmethylated binding sites is crucial for gene activity. Since the consensus binding site of transcription factor Sp1 contains a central CpG, we have investigated the binding of Sp1 factor to unmethylated and synthetically CpG-methylated DNA. A strong Sp1 binding site was methylated on both strands at two CpG positions, located in the center and at the periphery of the recognition sequence. Our studies show that neither binding in vitro, nor transcription in vivo and in vitro are affected by methylation of the Sp1 binding site. We discuss the possibility that binding of Sp1 factor, which is often associated with promoters of housekeeping genes, prevents CpG methylation.

Animals↗

PubMed2024

TFinder: A Python Web Tool for Predicting Transcription Factor Binding Sites.

Transcription is a key cell process that consists of synthesizing several copies of RNA from a gene DNA sequence. This process is highly regulated and closely linked to the ability of transcription factors to bind specifically to DNA. TFinder is an easy-to-use Python web portal allowing the identification of Individual Motifs (IM) such as Transcription Factor Binding Sites (TFBS). Using the NCBI API, TFinder extracts either promoter or gene terminal regulatory regions, through a simple query of NCBI gene name or ID. It enables simultaneous analysis across five different species for an unlimited number of genes. TFinder searches for Individual Motifs in different formats, including IUPAC codes and JASPAR entries. Moreover, TFinder also allows de novo generations of a Position Weight Matrix (PWM) and the use of already established PWM. Finally, the data are provided in a tabular and a graph format showing the relevance and the P-value of the Individual Motifs found as well as their location relative to the Transcription Start Site (TSS) or the terminal region of the gene. The results are then sent by email to users facilitating the subsequent data analysis and sharing. TFinder is written in Python and freely available on GitHub under the MIT license: https://github.com/Jumitti/TFinder. It can be accessed as a web application implemented in Streamlit at https://tfinder-ipmc.streamlit.app. Resources are available on Streamlit "Resources" tab. TFINDER strength is that it relies on an all-in-one intuitive tool allowing users inexperienced with bioinformatics tools to retrieve gene regulatory regions sequences in multiple species and to search for individual motifs in a huge number of genes.

Transcription Factors↗

PubMed1991

Analysis of CCAAT box transcription factor binding activity during early Xenopus laevis embryogenesis.

Unfertilized eggs and pre-midblastula (MBT) stage Xenopus embryos were found to contain a large pool of maternally derived CCAAT box-binding transcription factor (CBTF). DNA mobility shift experiments using embryonic extracts prepared with either low or high salt buffers suggest that Xenopus CBTF may not interact with embryonic DNA until the late blastula stage, a time point coincident with the increase in zygotic transcription. Additionally, photoaffinity-labeling experiments revealed that both pre- and post-MBT CBTF-binding activities were composed of at least three proteins having relative molecular masses of 68, 52, and 42 kDa.

Affinity Labels↗

PubMed1991

The murine adenosine deaminase promoter requires an atypical TATA box which binds transcription factor IID and transcriptional activity is stimulated by multiple upstream Sp1 binding sites.

We have explored the template and factor requirements for in vitro transcription of the GC-rich promoter of the murine adenosine deaminase gene. The core promoter consists of an A-rich sequence (TAAAAAA) 27 base pairs upstream of the initiation site which binds transcription factor IID (TFIID) and a high affinity Sp1 binding site located 27 base pairs further upstream. Multiple upstream elements increased core promoter activity 20-fold and correspond to protected regions in DNase I footprinting assays with purified Sp1 protein. Internal deletion of the TA6 element alone eliminated transcription in spite of the presence of all other promoter elements including four Sp1 binding sites. Recombinant human TFIID supported weak basal transcription in heat-treated nuclear extracts whereas a partially purified TFIID fraction from HeLa cells reconstituted a maximal level of transcription. Inclusion of 12 base pairs immediately adjacent to the proximal Sp1 site resulted in a 5-fold boost in transcriptional activity and corresponds to a second Sp1 binding site. These results serve as a basis for further exploration of the factors involved in the developmental and selective high level tissue expression of the murine adenosine deaminase gene.

Adenosine Deaminase↗

PubMed2026

How negative sampling shapes the performance of transcription factor binding site prediction models.

MOTIVATION: Transcription factors (TFs) are key players in gene regulation and development, where they activate and repress gene expression through DNA binding. Predicting transcription factor binding sites (TFBSs) has long been an active area of research, with many deep learning methods developed to tackle this problem. These models are often trained on TF ChIP-seq data, which is generally seen as only providing positive samples. The choice of datasets and negative sampling techniques is a critical yet often overlooked aspect of this work. RESULTS: In this study, we investigate the impact of different negative sampling techniques on TFBS prediction performance. We create high-quality test datasets based on ChIP-seq and ATAC-seq data, where true negatives can be identified as positions that are accessible but not bound by the TF in question. We then train models using various negative sampling techniques, including genomic sampling, shuffling, dinucleotide shuffling, neighborhood sampling, and cell line specific sampling, simulating cases where matching ATAC-seq data is not available. Our results show that, generally, metrics calculated on training datasets give inflated performance scores. Of the tested techniques, genomic sampling of negatives based on similarity to the positives performed by far the best, although still not reaching the performance of baseline models trained on high-quality datasets. Models trained on dinucleotide shuffled negatives performed poorly, despite being a common practice in the field. Our findings highlight the importance of carefully selecting negative sampling techniques for TFBS prediction, as they can significantly impact model performance and the interpretation of results. AVAILABILITY AND IMPLEMENTATION: The code used in this study is available at https://github.com/NatanTourne/TFBS-negatives (DOI: 10.5281/zenodo.18007567).

Binding Sites↗

PubMed2023

H3.3 contributes to chromatin accessibility and transcription factor binding at promoter-proximal regulatory elements in embryonic stem cells.

BACKGROUND: The histone variant H3.3 is enriched at active regulatory elements such as promoters and enhancers in mammalian genomes. These regions are highly accessible, creating an environment that is permissive to transcription factor binding and the recruitment of transcriptional coactivators that establish a unique chromatin post-translational landscape. How H3.3 contributes to the establishment and function of chromatin states at these regions is poorly understood. RESULTS: We perform genomic analyses of features associated with active promoter chromatin in mouse embryonic stem cells (ESCs) and find evidence of subtle yet widespread promoter dysregulation in the absence of H3.3. Loss of H3.3 results in reduced chromatin accessibility and transcription factor (TF) binding at promoters of expressed genes in ESCs. Likewise, enrichment of the transcriptional coactivator p300 and downstream histone H3 acetylation at lysine 27 (H3K27ac) is reduced at promoters in the absence of H3.3, along with reduced enrichment of the acetyl lysine reader BRD4. Despite the observed chromatin dysregulation, H3.3 KO ESCs maintain transcription from ESC-specific genes. However, upon undirected differentiation, H3.3 KO cells retain footprinting of ESC-specific TF motifs and fail to generate footprints of lineage-specific TF motifs, in line with their diminished capacity to differentiate. CONCLUSIONS: H3.3 facilitates DNA accessibility, transcription factor binding, and histone post-translational modification at active promoters. While H3.3 is not required for maintaining transcription in ESCs, it does promote de novo transcription factor binding which may contribute to the dysregulation of cellular differentiation in the absence of H3.3.

Animals↗

PubMed1988

Constraints on spacing between transcription factor binding sites in a simple adenovirus promoter.

The adenovirus 2 E1B transcription unit has an extremely simple promoter consisting of a TATA box and a closely situated GC box. The interaction between the TATA box and the GC box was analyzed using insertion mutations which expand the distance between the two elements. We observed that the E1B promoter has an unusually rigid architecture. When the GC box, which is a binding site for transcription factor Sp1, was separated further from the TATA box than in the wild-type promoter, in vivo transcription quickly diminished to a level comparable to the elimination of the Sp1 site. Yet all the insertion mutants bound Sp1 factor in vitro with an affinity approximately equal to that of the wild-type promoter. From these results, we argue that Sp1 binding alone is not sufficient to stimulate transcription. The increased distance might disrupt direct contacts between Sp1 and transcription factors bound at the TATA box, contacts required for transcription stimulation by Sp1. The insertion mutations do not interfere with the transcription activation process mediated by the adenovirus large E1A protein or the pseudorabies virus immediate early protein.

Adenoviridae↗

PubMed2026

Positional grammar of transcription factor binding partitions developmental and stress-response regulation in plants.

Understanding how transcription factor binding site (TFBS) position influences gene regulation remains a fundamental challenge in plants. Here, we integrate conserved multiDAP TFBS maps for 244 transcription factors (TFs) with single-nucleus chromatin accessibility, cell type-resolved gene expression, and hormone-response datasets across Brassicaceae species to determine how TFBS position relates to regulatory function. Although conserved TFBSs are enriched near transcription start sites (TSSs), TSS-proximal accessibility poorly predicts cell type-specific expression. Instead, cell type-specific expression correlates best with conserved TFBSs embedded in cell type-restricted chromatin, with TF family-specific distributions across distal promoters and introns. In contrast, TSS-proximal TFBSs in broadly accessible chromatin are associated with rapid transcriptional responses to abiotic and biotic stress hormones. Coding sequence TFBSs mark a distinct regulatory context in which the same DNA sequence encodes both amino acid sequence and TF motifs, including evidence that CDS-localized ABR1 binding may contribute to repression during hormone response. Finally, distal upstream regions contain conserved multi-family TF clusters with enhancer-like features overlapping rare cell type-specific accessible chromatin and enriched near genes controlling embryonic, meristematic, and hormone-dependent developmental patterning. Together, these results support a positional grammar in which TFBS position and chromatin context jointly partition developmental, stress-responsive, and repressive regulatory output in plants.

Transcription Factors↗

PubMed2026

Motif-Cluster: Motif driven prioritization of transcription factor binding clusters.

Genome-wide analyses of transcription factor (TF) motif binding sites have largely emphasized individual high-affinity sites, while overlooking the regulatory importance of locally repetitive motif clusters. Such clusters, including combinations of weak and strong binding sites, can collectively enhance TF occupancy and regulatory activity. Here we present Motif-Cluster, an open-source framework for motif-driven prioritization and visualization of TF binding clusters using sequence information alone. Motif-Cluster integrates a density-based clustering strategy with flexible modeling of binding-site gaps and affinity signals, enabling the identification and ranking of candidate regulatory regions without requiring experimental binding data. Through simulations and multiple real-data analyses, we show that combining gap distributions with binding affinity effectively balances cluster size and signal strength while reducing noise from weak sites. Application to ZNF410 successfully recovers the previously characterized binding clusters in the CHD4 promoter, which are conserved between human and mouse. Additional case studies involving PHB1, TWIST1, and EGR1 further demonstrate the general applicability of the method across diverse transcription factors. Motif-Cluster also provides intuitive visualization and reproducible workflows to facilitate interpretation of spatially dense motif patterns. Overall, Motif-Cluster offers a robust and flexible approach for prioritizing transcription factor regulatory regions from genome-wide motif scans, enabling biological discovery and guiding experimental design, particularly in settings where direct genome-wide binding assays are unavailable.

Transcription Factors↗

PubMed2026

SEMPLR: an R package for transcription factor binding prediction.

SUMMARY: SEMPLR is an R package that predicts transcription factor binding and variant effects using SNP Effect Matrices (SEMs), providing efficient, genome-wide scoring, enrichment testing, and visualization tools for comprehensive analysis of regulatory sequences. AVAILABILITY: Available on GitHub at https://github.com/grkenney/SEMPLR and on Bioconductor at https://bioconductor.org/packages/release/bioc/html/SEMPLR.html.

Transcription Factors↗

PubMed1987

Interactions between a DNA-binding transcription factor (COUP) and a non-DNA binding factor (S300-II).

We have identified previously two transcription factors, COUP (chicken ovalbumin upstream promoter) and S300-II, from HeLa cell nuclear extracts. In this paper, the purine base and the phosphate backbone contact sites for the COUP transcription factor were defined. These studies indicate that the COUP box transcription factor interacts with specific base residues in the major groove of the DNA helix. In addition, we have purified the S300-II factor over 100,000-fold. The polypeptide possessing functional transcriptional activity has been identified by SDS-PAGE followed by gel-slice elution and a renaturation assay. It is absolutely required for in vitro function of the ovalbumin promoter. In addition, S300-II stimulates transcription from the MMTV and lysozyme promoters. Kinetic studies probing the interaction of S300-II with COUP factor suggest that it may stabilize COUP-promoter complexes by slowing their rate of dissociation.

Animals↗

PubMed1990

The B subunit of a rat heteromeric CCAAT-binding transcription factor shows a striking sequence identity with the yeast Hap2 transcription factor.

CBF is a heteromeric mammalian transcription factor that binds to CCAAT sequences in a number of promoters such as the two type I collagen promoters, the albumin promoter, the major histocompatibility complex class II promoter, and others. It is composed of two components, A and B, that are both needed for DNA binding. We have isolated a rat cDNA containing the complete 341-amino acid coding sequence of the B component of CBF. Expression of this cDNA in vitro generates a polypeptide that shows the same dependency on the A component as the native B component in the formation of a complex with a CCAAT-containing DNA. The C-terminal portion of the B component from residue 260 to residue 312 shows a 75% sequence identity with a portion of the Hap2 protein, a component of a heteromeric CCAAT-binding protein in yeast. In contrast, the rest of the protein shows little sequence homology with Hap2, although both proteins contain glutamine-rich domains. In the B component of CBF this domain spans the amino-terminal 60% of the protein, whereas in Hap2 this domain is much smaller. Hence, only a few changes in one domain of this protein were tolerated during evolution between yeast and mammals, whereas the rest of the protein diverged much more extensively.

Amino Acid Sequence↗

PubMed1990

Localization by mutational analysis of transcription factor binding sequences in the U3 region of Rous sarcoma virus LTR.

The transcription factor binding sequences in the U3 region of Rous Sarcoma virus LTR have been determined by gel retardation assays using mutant synthetic oligonucleotides. The results indicate that the factor, E2BP, specifically binds to sequences TGCAATAC and TGCAACAT, which are localized between nucleotides -222 to -215 and -203 to -196, respectively. This factor is present at elevated levels in avian QT6 cells compared to mouse 3T3 and rat 2 tk- cells. E2BP binds to a sequence that is similar or identical to the sequence recognized by rat liver C/EBP. However, the two proteins are different as judged by three criteria: (i) the E2BP complex migrates slightly faster than the E2-C/EBP complex; (ii) antibodies against C/EBP neither inhibit binding of E2BP nor form a supercomplex which migrates slower than the complex formed with the factor alone; and (iii) E2BP is heat labile whereas C/EBP is heat stable. Another factor, E3BP, which binds to a sequence from -169 to -158, in the U3 region is also detected mainly in QT6 cells but not in mouse or rat cells. These results suggest that different cell-specific factors interact with different cis-acting regulatory sequences in the U3 region of RSV LTR.

Animals↗

PubMed1991

Histone gene transcription factor binding in extracts of normal human cells.

Transcriptional regulation of mammalian histone genes during S phase is achieved through activation of specific factors which interact with subtype-specific histone gene promoter sequences. It has previously been shown that in HeLa cells this induction is not mediated by obligatory changes in the DNA binding activity of histone gene transcription factors as cells progress through the cell cycle. Recently, it has been reported that the DNA binding properties of a putative histone gene transcription factor may be quite different in normal and transformed cells (J. Holthuis, T. A. Owen, A. J. van Wijnen, K. L. Wright, A. Ramsey-Ewing, M. B. Kennedy, R. Carter, S. C. Cosenza, K. J. Soprano, J. B. Lian, J. L. Stein, and G. S. Stein, Science 247:1454-1457, 1990). To determine whether the properties of well-characterized histone gene transcription factors are altered in transformed versus normal cells, we have examined the DNA binding activity of human histone transcription factors during the WI38 (a primary line of normal human fetal lung fibroblasts) cell cycle. The results demonstrate that the properties of Oct1, H4TF1, and H4TF2 are similar in WI38 and HeLa cells and that their DNA binding activities are constitutive during interphase of both normal and transformed cell lines. Although it remains possible that these factors are directly or indirectly perturbed as a result of cellular transformation, it appears unlikely that transformation results in gross changes in DNA binding activity as cells progress toward division.

Blotting, Western↗

PubMed1990

A single DNA-binding transcription factor is sufficient for activation from a distant enhancer and/or from a promoter position.

Typical cell type-specific or inducible mammalian genes are under the control of one or more remote enhancers which transmit their effect to the promoter region located at the initiation site of transcription. Both enhancers and promoters are composed of multiple binding sites for transcription factors. To study the requirements for promoter and enhancer function, we have used a reporter gene that is completely dependent on a single DNA-binding transcription factor in vivo. This factor is a truncated, hormone-independent form of the glucocorticoid receptor which interacts strongly with a palindromic binding site. After transfection into HeLa cells, transcription of a reporter gene with one, two or four copies of the binding site upstream of the TATA box is enhanced less than 10, at least 100 and greater than 1000-fold respectively, in the presence of the receptor. Even when the TATA box is deleted, the four upstream binding sites confer receptor-dependent transcription, though from scattered initiation sites. When four copies of the palindromic binding site are placed downstream of the transcription unit, they form a very strong receptor-dependent enhancer. This enhancer can activate comparably well promoters containing binding sites for either glucocorticoid receptor, Sp1 factor, or octamer factor. Our data show that a single defined DNA-binding factor can mediate both promoter and enhancer activity, and that it can co-operate functionally both with itself and with seemingly unrelated transcription factors.

Animals↗

PubMed1992

Characterization of a high affinity octamer transcription factor binding site in the human lipoprotein lipase promoter.

A high affinity octamer transcription factor (OTF-1) binding site has been identified and characterized at position--46 base pairs (bp) in the proximal human lipoprotein lipase (LPL) promoter. The affinity of the LPL OTF-1 binding site was approximately 15-fold greater than a consensus octamer sequence, ATTTGCAT, present at position--66 bp in the mouse Vk T1 promoter, and approximately 5-fold greater than the OTF-1 site present at position--49 bp in the human histone H2B promoter. Diethylpyrocarbonate interference assays have identified both 5' and 3' adenine nucleotides, which flank the core LPL ATTTGCAT sequence and interfere with OTF-1 binding when chemically modified. Introduction of mutations in either 5' or 3' flanking AT-rich sequences lowered the affinity of OTF-1 binding below the level observed with the wild-type LPL octamer oligomer. A double mutation in both flanking AT regions, however, greatly reduced the affinity of this site to levels similar to that observed with the mouse Vk T1 OTF site. An additional nuclear transcription factor, NF-Y, has been shown to bind to a functional CCAAT box motif located at -65 bp in the LPL promoter using specific alpha-NF-Y antisera. The observation of high affinity OTF-1 and NF-Y binding sites in a region of the proximal LPL promoter which is necessary for high levels of LPL transcription suggests that these sites with their associated proteins play important functional roles in the transcriptional activation of the LPL promoter during adipocyte differentiation.

3T3 Cells↗

PubMed1990

Activation of octamer-containing promoters by either octamer-binding transcription factor 1 (OTF-1) or OTF-2 and requirement of an additional B-cell-specific component for optimal transcription of immunoglobulin promoters.

Several distinct octamer-binding transcription factors (OTFs) interact with the sequence ATTTGCAT (the octamer motif), which acts as a transcription regulatory element for a variety of differentially controlled genes. The ubiquitous OTF-1 plays a role in expression of the cell cycle-regulated histone H2b gene as well as several other genes, while the tissue-specific OTF-2 has been implicated in the tissue-specific expression of immunoglobulin genes. In an attempt to understand the apparent transcriptional selectivity of these factors, we have investigated the physical and functional characteristics of OTF-1 purified from HeLa cells and both OTF-1 and OTF-2 purified from B cells. High-resolution footprinting and mobility shift-competition assays indicated that these factors were virtually indistinguishable in binding affinities and DNA-protein contacts on either the H2b or an immunoglobulin light-chain (kappa) promoter. In addition, each of the purified factors showed an equivalent intrinsic capacity to activate transcription from either immunoglobulin promoters (kappa and heavy chain) or the H2b promoter in OTF-depleted HeLa and B-cell extracts. However, with OTF-depleted HeLa extracts, neither factor could restore immunoglobulin gene transcription to the relatively high level observed in unfractionated B-cell extracts. Restoration of full immunoglobulin gene activity appears to require an additional B-cell regulatory component which interacts with the OTFs. The additional B-cell factor could act either by facilitating interaction of OTF activation domains with components of the general transcriptional machinery or by contributing a novel activation domain.

Base Sequence↗

PubMed1990

A novel octamer binding transcription factor is differentially expressed in mouse embryonic cells.

We have identified a novel octamer binding factor (Oct-3) in P19 embryonal carcinoma cells. Oct-3, which recognizes the typical octamer motif (ATTTGCAT) as well as the AT-rich sequence TTAAAATTCA, is present in P19 stem cells but disappears when the cells are induced to differentiate by retinoic acid (RA). Cloned cDNA corresponding to Oct-3 encodes a protein of 377 amino acids. Oct-3 has a conserved POU domain, but the remaining part is distinct from other POU domain-containing proteins such as Oct-1 and Oct-2. mRNA of 1.5 kb coding for Oct-3 is abundant in P19 stem cells but is dramatically repressed during RA-induced differentiation. Repression of the 1.5 kb mRNA is rapid and specific to RA. In mouse, oct-3 mRNA is undetectable in all the adult organs examined. The N-terminal proline-rich region of Oct-3, when fused to the DNA binding domain of c-Jun, functions as a transcriptional activating domain. We suggest that Oct-3 is a novel octamer binding transcription factor that is developmentally regulated during mouse embryogenesis.

Amino Acid Sequence↗