Quantitative Specificity of STAT1 and Several Variants.
Ontology highlight
ABSTRACT:
ORGANISM(S): synthetic construct
PROVIDER: GSE95526 | GEO | 2017/04/01
SECONDARY ACCESSION(S): PRJNA377348
REPOSITORIES: GEO
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Project description:STAT1 gain-of-function (GOF) is a primary immunodeficiency typically characterized by chronic mucocutaneous candidiasis (CMC), recurrent respiratory infections and autoimmunity. Less commonly, also immunodysregulation polyendocrinopathy enteropathy X-linked (IPEX)-like syndromes with CMC, and combined immunodeficiency without CMC have been described. Recently, our group and others have shown that different mutation-specific mechanisms underlie STAT1 GOF in vitro, including faster nuclear accumulation (R274W), and reduced mobility (R321, N574I) to near immobility in the nucleus (T419R) upon IFNγ stimulation. In this work, we evaluated the transcriptomic fingerprint of the aforementioned STAT1 GOF mutants (R274W, R321S, T419R, and N574I) relative to STAT1 wild-type upon IFNγ stimulation in an otherwise isogenic cell model. The majority of genes up-regulated in wild-type STAT1 cells were significantly more up-regulated in cells expressing GOF mutants, except for T419R. In addition to the common interferon regulated genes (IRG), STAT1 GOF mutants up-regulated an additional set of genes, that were in part shared with other GOF mutants or mutation-specific. Overall, R274W and R321S transcriptomes clustered with STAT1 WT, while T419R and N574I had a more distinct fingerprint. We observed reduced frequency of canonical GAS sequences in promoters of genes up-regulated by all the STAT1 GOF mutants, suggesting loss of DNA binding specificity for the canonical GAS consensus. Interestingly, the T419R mutation, expected to directly increase the affinity for DNA, showed the most pronounced effects on the transcriptome. T419R STAT1 dysregulated more non-IRG than the other GOF mutants and fewer GAS or degenerate GAS promotor sequences could be found in the promoter regions of these genes. In conclusion: our work confirms hyperactivation of common sets of IFNγ-induced genes in STAT1 GOF with additional dysregulation of mutation-specific genes, in line with the earlier observed mutation-specific mechanisms. Binding to more degenerate GAS sequences is proposed as a mechanism towards transcriptional dysregulation in R274W, R321S, and N574I. For T419R, an increased interaction with the DNA is suggested to result in a broader and less GAS-specific response. Our work indicates that multiple routes leading to STAT1 GOF are associated with common and private transcriptomic fingerprints, which may contribute to the phenotypic variation observed in vivo.
2021-02-09 | GSE166392 | GEO
Project description:IL-6 and IL-27 have antagonistic and overlapping functions, signal through a shared receptor subunit and employ the same downstream STAT proteins. To evaluate the degree of specificity and redundancy for these cytokines, we quantified global transcriptomic changes induced by the two cytokines and determined the relative contributions of STAT1 and STAT3 using genetic models and ChIP-seq. We found a high degree of overlap of the transcriptomes induced by IL-6 and IL-27 and extremely few examples in which the cytokines acted in opposition. Using STAT deficient cells and T cells from patients with gain-of-function STAT1 mutations, we show that STAT3 was responsible for the overall transcriptional output driven by both cytokines, whereas STAT1 was the driver of cytokine specificity. STAT1 did not compensate for the lack STAT3; on the contrary, much of STAT1 binding to chromatin was STAT3 dependent. Thus, STAT1 shapes the specific cytokine signature superimposed upon STAT3’s action. Integrated analysis of transcriptome and transcription factor binding data from cytokine treated CD4+T cells
2015-05-27 | E-GEOD-65621 | biostudies-arrayexpress
Project description:The bZIP homodimers CEBPB and CREB1 bind DNA containing methylated cytosines differently. CREB1 binds stronger to the C/EBP half-site GCAA when the cytosine is methylated. For CEBPB, methylation of the same cytosine does not affect DNA binding. The X-ray structure of CREB1 binding the half site GTCA identifies an alanine in the DNA binding region interacting with the methyl group of T, structurally analogous to the methyl group of methylated C. This alanine is replaced with a valine in CEBPB. To explore the contribution of this amino acid to binding with methylated cytosine of the GCAA half-site, we made the reciprocal mutants CEBPB(V285A) and CREB1(A297V) and used protein binding microarrays (PBM) to examine binding to four types of double-stranded DNA (dsDNA): 1) DNA with cytosine in both strands (DNA(C|C)), 2) DNA with 5-methylcytosine (M) in one strand and cytosine in the second strand (DNA(M|C)), 3) DNA with 5-hydroxymethylcytosine (H) in one strand and cytosine in the second strand (DNA(H|C)), and 4) DNA with both cytosines in all CG dinucleotides contain- ing 5mC (DNA(5mCG)). When binding to DNA(C|C), CEBPB (V285A) preferentially binds the CRE consensus motif (TGACGTCA), similar to CREB1. The reciprocal mutant, CREB1(A297V) binds DNA with some similarity to CEBPB with strongest binding to the methylated PAR site 8-mer TTACGTAA. These data demonstrate that V285 residue inhibits CEBPB binding to methylated cytosine of the GCAA half-site.
2019-03-01 | GSE112018 | GEO
Project description:The bZIP homodimers CEBPB and CREB1 bind DNA containing methylated cytosines differently. CREB1 binds stronger to the C/EBP half-site GCAA when the cytosine is methylated. For CEBPB, methylation of the same cytosine does not affect DNA binding. The X-ray structure of CREB1 binding the half site GTCA identifies an alanine in the DNA binding region interacting with the methyl group of T, structurally analogous to the methyl group of methylated C. This alanine is replaced with a valine in CEBPB. To explore the contribution of this amino acid to binding with methylated cytosine of the GCAA half-site, we made the reciprocal mutants CEBPB(V285A) and CREB1(A297V) and used protein binding microarrays (PBM) to examine binding to four types of double-stranded DNA (dsDNA): 1) DNA with cytosine in both strands (DNA(C|C)), 2) DNA with 5-methylcytosine (M) in one strand and cytosine in the second strand (DNA(M|C)), 3) DNA with 5-hydroxymethylcytosine (H) in one strand and cytosine in the second strand (DNA(H|C)), and 4) DNA with both cytosines in all CG dinucleotides containing 5mC (DNA(5mCG)). When binding to DNA(C|C), CEBPB (V285A) preferentially binds the CRE consensus motif (TGACGTCA), similar to CREB1. The reciprocal mutant, CREB1(A297V) binds DNA with some similarity to CEBPB with strongest binding to the methylated PAR site 8-mer TTACGTAA. These data demonstrate that V285 residue inhibits CEBPB binding to methylated cytosine of the GCAA half-site.
2019-03-01 | GSE112019 | GEO
Project description:MLL4 is an essential subunit of the H3K4 methylation complexes. We report that Mll4 deficiency compromised Treg development and resulted in substantial decreases in H3K4me1 and chromatin interaction at putative enhancers, a remarkable portion of which were not direct targets of MLL4 but were interacting with Mll4-bound sites. The decrease in H3K4me1 and chromatin interaction at the MLL4-unbound enhancers correlated with MLL4 binding at distant interacting regions. Deletion of an upstream MLL4 binding site reduced H3K4me1 at the FoxP3 regulatory elements looped to the MLL4 binding site and compromised both tTreg and iTreg differentiation. We show that MLL4 catalyses H3K4 methylation at distant unbound enhancers via chromatin looping, thus providing a new mechanism of regulating T cell enhancer landscape and impacting Treg differentiation.
2017-07-18 | GSE69162 | GEO
Project description:We developed a method, ChIP-sequencing (ChIP-seq), combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing to identify mammalian DNA sequences bound by transcription factors in vivo. We used ChIP-seq to map STAT1 targets in interferon stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes. By ChIP-seq, using 15.1 and 12.9 million uniquely mapped sequence reads, and an estimated false discovery rate of less than 0.001, we identified 41,582 and 11,004 putative STAT1-binding regions in stimulated and unstimulated cells, respectively. Of the 34 loci known to contain STAT1 interferon-responsive binding sites, ChIP-seq found 24 (71%). ChIP-seq targets were enriched in sequences similar to known STAT1 binding motifs. Comparisons with two ChIP-PCR data sets suggested that ChIP-seq sensitivity was between 70% and 92% and specificity was at least 95%. Use ChIP-seq to map STAT1 targets in interferon-gamma (IFN-gamma)-stimulated and unstimulated human HeLa S3 cells, and compared the method's performance to ChIP-PCR and to ChIP-chip for four chromosomes
2009-03-23 | E-GEOD-15353 | biostudies-arrayexpress
Project description:Spec-seq directly mesaures specificity by sequencing. We run an EMSA experiment on TF of interest with a library of DNA targets. Then we extract and sequence the bound and unbound portion of the DNA separately. Finally we count the occurences of each varient in the library and calculate the ratio and the relative binding energy.
2017-10-11 | GSE102219 | GEO
Project description: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. Our results show that while the consensus sequence is bound with relatively high affinity, numerous other 8-mers, many distinctly different from the consensus motif, are bound with similar or greater affinity. These data suggest that the mechanism for E2F sequence specificity is likely complex, and cannot readily be explained through a simple consensus sequence. Because of this, complex regression models were created using the bound and unbound probe binding affinities, and were able to predict binding in vivo, where the consensus sequence and varoius E2F PWMs were not.
2014-11-04 | GSE61854 | GEO
Project description:A central question in transcription factor biology is how a specific member of a transcription factor family occupies a promoter in vivo, when all family members bind the same consensus site in vitro. To uncover the mechanisms regulating DNA binding specificity within transcription factor families, we have used the techniques of chromatin immunoprecipitation coupled with genome-wide microarray analysis to query the occupancy of three members of the ETS transcription factor family in a human T-cell line. Unexpectedly, redundant occupancy was frequently detected while specific occupancy was less likely. An unbiased bioinformatics approach correlated redundant binding with consensus ETS binding sequences near transcription start sites, whereas specific binding sites diverged dramatically from the consensus, were coupled with a site for a cooperative binding partner, and were found further from transcription start sites. The specific and redundant DNA binding modes illustrate the regulation of transcription factor specificity in vivo and suggest two distinct roles for members of the ETS transcription factor family. Keywords: ChIP-chip Chromatin IP from uninduced asynchronous Jurkat T cells, or HT29 colon cells using antibodies to three ETS transcription factors (ETS1, ELF1, and GABPa) or the transcription factors RUNX1 or E2F4. IP and whole input DNAs are amplified (WGA2 kit sigma) and labeled and compared by promoter microarrays (Agilent). Each experiment requires 2 microarrays to cover the genome. Proximal promoter arrays assay 1kb surrounding transcription start sites, extended promoter arrays assay 7kb surrounding transcription start sites. Each microarray is performed as two biological replicates with the exception of ETS1 in HT29 proximal promoter array which were done once, and ETS1 in Jurkat proximal promoter array which was done three times.
2007-07-27 | E-GEOD-7449 | biostudies-arrayexpress
Project description:Background: DNA methylation is a fundamental epigenetic modification which is involved in many biological systems such as differentiation and disease. We and other groups recently discovered that a part of transcription factors (TFs) plays a role for site-specificity determination of DNA demethylation in a binding site-directed manner, although number of reports for such TFs are limited. Results: Here, we develop a screening system to identify TFs which induce the binding site-directed DNA methylation changes. The system consists of ectopic expression of target TFs in model cells and the DNA methylome analysis followed by overrepresentation analysis of the corresponding TF binding motif at differentially methylated regions. Our system successfully identifies binding site-directed demethylation of SPI1 which is known to promote DNA demethylation in a binding-site directed manner. We extend our screening system to 15 master TFs which are involved in cellular differentiations, and identified 8 (RUNX3, GATA2, CEBPB, MAFB, NR4A2, MYOD1, CEBPA and TBX5) novel binding site-directed DNA demethylation inducing TFs. Gene ontology and specifically expressing tissue enrichment analysis revealed that those 8 TFs demethylate genome regions which are associated with corresponding biological roles, supporting performance of our system. We also describe characteristics of the binding site-directed DNA demethylation induced by those TFs; targeting highly methylated CpGs, local DNA demethylation, and overlap of demethylated regions between same family TFs. Conclusion: Thus, our results emphasize usefulness of the developed screening system for identification of TFs which induce DNA demethylation in a site-directed manner.
2017-11-29 | GSE102822 | GEO