Escherichia coli K-12
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA260531 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1570164.fastq.gz | Fastqsanger.gz | |||
| SRR1570165.fastq.gz | Fastqsanger.gz | |||
| SRR1570166.fastq.gz | Fastqsanger.gz | |||
| SRR1570167.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
Project description:In this work we introduce a new high-throughput method, Spec-seq, that directly measures specificity by sequencing. It has several advantages over existing methods to quantify large collections (thousands) of binding site energies in one experiment. Using lac repressor as an example, we show that this method has excellent reproducibility giving energy measurements generally consistent within about 0.1kT. While not measuring in parallel as many different sequences as some of the higher throughput methods, we obtain high accuracies because we measure exactly what is necessary, the relative affinity to a large collection of sequences, without any mathematical fitting procedures or approximations required. It is similar to MITOMI in the number of different sites that can be analyzed in parallel, but it is much simpler to perform, requiring only a means to separate bound and unbound fractions which are then sequenced using standard high throughput, short read sequencing machines that are now readily available. When applied to the lac repressor we obtain, in a single experiment, data covering a large fraction of all the previous studies, plus thousands of additional variants, allowing us to compile a much more comprehensive profile of its specificity. We learn that the lac repressor can bind to sites of different lengths but that the preferred sequence, and the mode of binding, depends on the length. We also apply the method to two other members of the LacI/GalR protein family, PurR and YcjW, to obtain extensive models of their specificity and test the generality of the lac repressor's ability to bind to operators of variable length. We find that the lac repressor is apparently unique in its ability to bind with high affinity to sites of different lengths and with different modes of binding. 4 independent experiments.
2014-10-01 | E-GEOD-61223 | biostudies-arrayexpress
Project description:In this work we introduce a new high-throughput method, Spec-seq, that directly measures specificity by sequencing. It has several advantages over existing methods to quantify large collections (thousands) of binding site energies in one experiment. Using lac repressor as an example, we show that this method has excellent reproducibility giving energy measurements generally consistent within about 0.1kT. While not measuring in parallel as many different sequences as some of the higher throughput methods, we obtain high accuracies because we measure exactly what is necessary, the relative affinity to a large collection of sequences, without any mathematical fitting procedures or approximations required. It is similar to MITOMI in the number of different sites that can be analyzed in parallel, but it is much simpler to perform, requiring only a means to separate bound and unbound fractions which are then sequenced using standard high throughput, short read sequencing machines that are now readily available. When applied to the lac repressor we obtain, in a single experiment, data covering a large fraction of all the previous studies, plus thousands of additional variants, allowing us to compile a much more comprehensive profile of its specificity. We learn that the lac repressor can bind to sites of different lengths but that the preferred sequence, and the mode of binding, depends on the length. We also apply the method to two other members of the LacI/GalR protein family, PurR and YcjW, to obtain extensive models of their specificity and test the generality of the lac repressor's ability to bind to operators of variable length. We find that the lac repressor is apparently unique in its ability to bind with high affinity to sites of different lengths and with different modes of binding.
2014-10-01 | GSE61223 | GEO
Project description:High-Resolution DNA Binding Specificity Analysis of Yeast Transcription Factors
| PRJNA110437 | ENA
Project description:Biological systems display extraordinary robustness. Robustness of transcriptional enhancers results mainly from clusters of binding sites for the same transcription factor, and it is not clear how robust enhancers can evolve loss of expression through point mutations. Here, we report the high-resolution functional dissection of a robust enhancer of the shavenbaby gene that has contributed to morphological evolution. We found that robustness is encoded by many binding sites for the transcriptional activator Arrowhead and that, during evolution, some of these activator sites were lost, weakening enhancer activity. Complete silencing of enhancer function, however, required evolution of a binding site for the spatially restricted potent repressor Abrupt. These findings illustrate that recruitment of repressor binding sites can overcome enhancer robustness and may minimize pleiotropic consequences of enhancer evolution. Recruitment of repression may be a general mode of evolution to break robust regulatory linkages.
2018-04-28 | GSE80790 | GEO
Project description:We present PIGEON-FEATHER, a method for calculating free energies of opening (∆Gop) at single- or near-single-amino acid resolution for protein ensembles of all sizes from hydrogen exchange/mass spectrometry (HX/MS) data. PIGEON-FEATHER disambiguates and reconstructs all experimentally measured isotopic mass envelopes using a Bayesian Monte Carlo sampling approach. We applied PIGEON-FEATHER to reveal how E. coli and human dihydrofolate reductase (ecDHFR, hDHFR) have evolved distinct conformational ensembles tuned to their catalytic cycles. We showed how two competitive inhibitors of ecDHFR arrest its ensemble in different ways, only one of which is compatible with vertebrate DHFR orthologs. Finally, we uncovered how the lac repressor (LacI) ensemble responds to binding its inducer molecule and operator DNA to regulate transcriptional activation.
2024-11-05 | PXD057539 | Pride
Project description:We present PIGEON-FEATHER, a method for calculating free energies of opening (∆Gop) at single- or near-single-amino acid resolution for protein ensembles of all sizes from hydrogen exchange/mass spectrometry (HX/MS) data. PIGEON-FEATHER disambiguates and reconstructs all experimentally measured isotopic mass envelopes using a Bayesian Monte Carlo sampling approach. We applied PIGEON-FEATHER to reveal how E. coli and human dihydrofolate reductase (ecDHFR, hDHFR) have evolved distinct conformational ensembles tuned to their catalytic cycles. We showed how two competitive inhibitors of ecDHFR arrest its ensemble in different ways, only one of which is compatible with vertebrate DHFR orthologs. Finally, we uncovered how the lac repressor (LacI) ensemble responds to binding its inducer molecule and operator DNA to regulate transcriptional activation.
2024-08-06 | PXD054550 | Pride
Project description:Transcriptome comparison of the Streptococcus pneumoniae strain D39 grown in the presence of either lactose or galactose with that of the strain grown in the presence of glucose, revealed the elevated expression of various genes and operons, including the lac gene cluster that is organized into two operons i.e. lac operon-I (lacABCD) and lac operon-II (lacTFEG). Deletion of the DeoR family transcriptional regulator lacR that is present downstream of the lac gene cluster, revealed elevated expression of lac operon-I, even in the absence of lactose. This suggests a function of LacR as a transcriptional repressor of lac operon-I that encodes enzymes involved in the Tagatose-6-P pathway in the absence of lactose or galactose. Deletion of lacR did not affect the expression of lac operon-II that encodes for a lactose-specific PTS. This finding was further confirmed by ?-galactosidase assays with PlacA-lacZ and PlacT-lacZ in the presence of either lactose or glucose as a sole carbon source in the medium. This suggests the presence of another transcriptional regulator in the regulation of lac operon-II, which could be the BglG-family transcriptional antiterminator LacT. We demonstrate the role of LacT as a transcriptional activator of lac operon-II in the presence of lactose and CcpA-independent regulation of the lac gene cluster in S. pneumoniae. This SuperSeries is composed of the SubSeries listed below.
2014-06-20 | GSE58184 | GEO
Project description:In vivo protein-DNA interactions connect each transcription factor with its direct targets to form a gene network scaffold. To map these protein-DNA interactions comprehensively across entire mammalian genomes, we developed a large-scale chromatin immunoprecipitation assay (ChIPSeq) based on direct ultrahigh-throughput DNA sequencing. This sequence census method was then used to map in vivo binding of the neuron-restrictive silencer factor (NRSF; also known as REST, for repressor element–1 silencing transcription factor) to 1946 locations in the human genome. The data display sharp resolution of binding position [±50 base pairs (bp)], which facilitated our finding motifs and allowed us to identify noncanonical NRSF-binding motifs. These ChIPSeq data also have high sensitivity and specificity [ROC (receiver operator characteristic) area ≥ 0.96] and statistical confidence (P < 10−4), properties that were important for inferring new candidate interactions. These include key transcription factors in the gene network that regulates pancreatic islet cell development. Experiment Overall Design: Exam NRSF binding in Jurkat T cell line
2009-08-29 | E-GEOD-13047 | biostudies-arrayexpress
Project description:Abstract: Transcriptome comparison of the Streptococcus pneumoniae strain D39 grown in the presence of either lactose or galactose with that of the strain grown in the presence of glucose, revealed the elevated expression of various genes and operons, including the lac gene cluster that is organized into two operons i.e. lac operon-I (lacABCD) and lac operon-II (lacTFEG). Deletion of the DeoR family transcriptional regulator lacR that is present downstream of the lac gene cluster, revealed elevated expression of lac operon-I, even in the absence of lactose. This suggests a function of LacR as a transcriptional repressor of lac operon-I that encodes enzymes involved in the Tagatose-6-P pathway in the absence of lactose or galactose. Deletion of lacR did not affect the expression of lac operon-II that encodes for a lactose-specific PTS. This finding was further confirmed by ?-galactosidase assays with PlacA-lacZ and PlacT-lacZ in the presence of either lactose or glucose as a sole carbon source in the medium. This suggests the presence of another transcriptional regulator in the regulation of lac operon-II, which could be the BglG-family transcriptional antiterminator LacT. We demonstrate the role of LacT as a transcriptional activator of lac operon-II in the presence of lactose and CcpA-independent regulation of the lac gene cluster in S. pneumoniae. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2014-06-20 | E-GEOD-58184 | biostudies-arrayexpress
Project description:Inducible mutant huntingtin mice were genetically engineered by introducing the lac operon sequence (LacO) into the Q140 promoter of the Q140 KI mice. LacO-140Q mice were then crossed to transgenic Lac repressor protein (LacIR) mice. LacIR occupies the LacO sequence in the promoter and thereby blocks transcription of Q140. Beta-galactoside analog isopropyl thiogalactoside (IPTG) binds to LacIR, which results in decreased affinity between the repressor and operator, thereby relieving repression. All mice in this study have the LacIR transgene, therefore the default state of the mouse containing LacOQ140;LacIR is maximal repression of Q140. CHDI generated and analyzed RNASeq data from inducible LacOQ140 mice at 2 points: 6 and 12 months. Transcriptional profiling in the striatum and cortex with early versus late mutant HTT lowering is detailed.
2022-10-14 | GSE156236 | GEO