Browse
Submit Data
Databases
API
Help

Dataset Information

22 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Reducing DNA context dependence in bacterial promoters.

ABSTRACT: Variation in the DNA sequence upstream of bacterial promoters is known to affect the expression levels of the products they regulate, sometimes dramatically. While neutral synthetic insulator sequences have been found to buffer promoters from upstream DNA context, there are no established methods for designing effective insulator sequences with predictable effects on expression levels. We address this problem with Degenerate Insulation Screening (DIS), a novel method based on a randomized 36-nucleotide insulator library and a simple, high-throughput, flow-cytometry-based screen that randomly samples from a library of 436 potential insulated promoters. The results of this screen can then be compared against a reference uninsulated device to select a set of insulated promoters providing a precise level of expression. We verify this method by insulating the constitutive, inducible, and repressible promotors of a four transcriptional-unit inverter (NOT-gate) circuit, finding both that order dependence is largely eliminated by insulation and that circuit performance is also significantly improved, with a 5.8-fold mean improvement in on/off ratio.

SUBMITTER: Carr SB

PROVIDER: S-EPMC5396932 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Unexpected DNA context-dependence identifies a new determinant of Chi recombination hotspots.

Project description:Homologous recombination occurs especially frequently near special chromosomal sites called hotspots. In Escherichia coli, Chi hotspots control RecBCD enzyme, a protein machine essential for the major pathway of DNA break-repair and recombination. RecBCD generates recombinogenic single-stranded DNA ends by unwinding DNA and cutting it a few nucleotides to the 3' side of 5' GCTGGTGG 3', the sequence historically equated with Chi. To test if sequence context affects Chi activity, we deep-sequenced the products of a DNA library containing 10 random base-pairs on each side of the Chi sequence and cut by purified RecBCD. We found strongly enhanced cutting at Chi with certain preferred sequences, such as A or G at nucleotides 4-7, on the 3' flank of the Chi octamer. These sequences also strongly increased Chi hotspot activity in E. coli cells. Our combined enzymatic and genetic results redefine the Chi hotspot sequence, implicate the nuclease domain in Chi recognition, indicate that nicking of one strand at Chi is RecBCD's biologically important reaction in living cells, and enable more precise analysis of Chi's role in recombination and genome evolution.

| S-EPMC5041463 | biostudies-literature

Efficient bacterial transcription of DNA nanocircle vectors with optimized single-stranded promoters.

Project description:We describe experiments aimed at establishing whether circular single-stranded DNAs can form promoters for bacterial transcription from small folded motifs. In vitro selection experiments were carried out on circular 103-nt DNA libraries encoding 40-nt randomized sequences as well as self-processing hammerhead ribozymes. Rounds of rolling circle transcription, reverse transcription-PCR, and recyclization were carried out to optimize transcription efficiency. Sequences were identified that are 80-fold more actively transcribed than the initial library by E. coli RNA polymerase (RNAP). The selected motifs were found to be more active than canonical E. coli promoters in the same context. Experiments also demonstrated that a single-stranded pseudopromoter identified by this selection can be transplanted to other circular DNA contexts and retain transcriptional activity. Results suggest that the promoter is localized in a short ( approximately 40 nt) hairpin, which is smaller than canonical E. coli promoters. To test whether this pseudopromoter was active in bacterial cells, a synthetic DNA nanocircle vector encoding a ribozyme targeted to a site in the marA drug resistance gene was constructed to contain an optimized single-stranded promoter. It is shown that this DNA circle can act as a "Trojan horse" in E. coli, being actively transcribed by the cellular RNAP and producing ribozymes that cleave a sequence in the marA drug resistance gene. The use of optimized single-stranded promoters in combination with synthetic nanocircle DNA vectors represents a potentially useful way to engender the synthesis of biologically active RNAs in living cells.

| S-EPMC117513 | biostudies-literature

Context dependence of trinucleotide repeat structures.

Project description:Long repeated sequences of DNA and their associated secondary structure govern the development and severity of a significant class of neurological diseases. Utilizing the effect of base stacking on fluorescence quantum yield, 2-aminopurine substitutions for adenine previously demonstrated sequestered bases in the stem and exposed bases in the loop for an isolated (CAG)(8) sequence. This study evaluates (CAG)(8) that is incorporated into a duplex, as this three-way junction is a relevant model for intermediates that lead to repeat expansion during DNA replication and repair. From an energetic perspective, thermally induced denaturation indicates that the duplex arms dictate stability and that the secondary structure of the repeated sequence is disrupted. Substitutions with 2-aminopurine probe base exposure throughout this structure, and two conclusions about secondary structure are derived. First, the central region of (CAG)(8) is more solvent-exposed than single-stranded DNA, which suggests that hairpin formation in the repeated sequence is disrupted. Second, base stacking becomes compromised in the transition from the duplex to (CAG)(8), resulting in bases that are most similar to single-stranded DNA at the junction. Thus, an open (CAG)(8) loop and exposed bases in the arms indicate that the strand junction profoundly influences repeated sequences within three-way junctions.

| S-EPMC6134211 | biostudies-literature

Characterization of Context-Dependent Effects on Synthetic Promoters.

Project description:Understanding the composability of genetic elements is central to synthetic biology. Even for seemingly well-known elements such as a sigma 70 promoter the genetic context-dependent variability of promoter activity remains poorly understood. The lack of understanding of sequence to function results in highly limited de novo design of novel genetic element combinations. To address this issue, we characterized in detail concatenated "stacked" synthetic promoters including varying spacer sequence lengths and compared the transcription strength to the output of the individual promoters. The proxy for promoter activity, the msfGFP synthesis from stacked promoters was consistently lower than expected from the sum of the activities of the single promoters. While the spacer sequence itself had no activity, it drastically affected promoter activities when placed up- or downstream of a promoter. Single promoter-spacer combinations revealed a bivalent effect on msfGFP synthesis. By systematic analysis of promoter and spacer combinations, a semi-empirical correlation was developed to determine the combined activity of stacked promoters.

| S-EPMC7303508 | biostudies-literature

Detecting DNA modifications from SMRT sequencing data by modeling sequence context dependence of polymerase kinetic.

Project description:DNA modifications such as methylation and DNA damage can play critical regulatory roles in biological systems. Single molecule, real time (SMRT) sequencing technology generates DNA sequences as well as DNA polymerase kinetic information that can be used for the direct detection of DNA modifications. We demonstrate that local sequence context has a strong impact on DNA polymerase kinetics in the neighborhood of the incorporation site during the DNA synthesis reaction, allowing for the possibility of estimating the expected kinetic rate of the enzyme at the incorporation site using kinetic rate information collected from existing SMRT sequencing data (historical data) covering the same local sequence contexts of interest. We develop an Empirical Bayesian hierarchical model for incorporating historical data. Our results show that the model could greatly increase DNA modification detection accuracy, and reduce requirement of control data coverage. For some DNA modifications that have a strong signal, a control sample is not even needed by using historical data as alternative to control. Thus, sequencing costs can be greatly reduced by using the model. We implemented the model in a R package named seqPatch, which is available at https://github.com/zhixingfeng/seqPatch.

| S-EPMC3597545 | biostudies-literature

Context dependence between subdomains in the DNA binding interface of the I-CreI homing endonuclease.

Project description:Homing endonucleases (HE) have emerged as precise tools for achieving gene targeting events. Redesigned HEs with tailored specificities can be used to cleave new sequences, thereby considerably expanding the number of targetable genes and loci. With HEs, as well as with other protein scaffolds, context dependence of DNA/protein interaction patterns remains one of the major limitations for rational engineering of new DNA binders. Previous studies have shown strong crosstalk between different residues and regions of the DNA binding interface. To investigate this phenomenon, we systematically combined mutations from three groups of amino acids in the DNA binding regions of the I-CreI HE. Our results confirm that important crosstalk occurs throughout this interface in I-CreI. Detailed analysis of success rates identified a nearest-neighbour effect, with a more pronounced level of dependence between adjacent regions. Taken together, these data suggest that combinatorial engineering does not necessarily require the identification of separable functional or structural regions, and that groups of amino acids provide acceptable building blocks that can be assembled, overcoming the context dependency of the DNA binding interface. Furthermore, the present work describes a sequential method to engineer tailored HEs, wherein three contiguous regions are individually mutated and assembled to create HEs with engineered specificity.

| S-EPMC3152339 | biostudies-other

Widespread divergent transcription from bacterial and archaeal promoters is a consequence of DNA-sequence symmetry.

Project description:Transcription initiates at promoters, DNA regions recognized by a DNA-dependent RNA polymerase. We previously identified horizontally acquired Escherichia coli promoters from which the direction of transcription was unclear. In the present study, we show that more than half of these promoters are bidirectional and drive divergent transcription. Using genome-scale approaches, we demonstrate that 19% of all transcription start sites detected in E. coli are associated with a bidirectional promoter. Bidirectional promoters are similarly common in diverse bacteria and archaea, and have inherent symmetry: specific bases required for transcription initiation are reciprocally co-located on opposite DNA strands. Bidirectional promoters enable co-regulation of divergent genes and are enriched in both intergenic and horizontally acquired regions. Divergent transcription is conserved among bacteria, archaea and eukaryotes, but the underlying mechanisms for bidirectionality are different.

| S-EPMC7612053 | biostudies-literature

Promoters adopt distinct dynamic manifestations depending on transcription factor context.

Project description:Cells respond to external signals and stresses by activating transcription factors (TF), which induce gene expression changes. Prior work suggests that signal-specific gene expression changes are partly achieved because different gene promoters exhibit distinct induction dynamics in response to the same TF input signal. Here, using high-throughput quantitative single-cell measurements and a novel statistical method, we systematically analyzed transcriptional responses to a large number of dynamic TF inputs. In particular, we quantified the scaling behavior among different transcriptional features extracted from the measured trajectories such as the gene activation delay or duration of promoter activity. Surprisingly, we found that even the same gene promoter can exhibit qualitatively distinct induction and scaling behaviors when exposed to different dynamic TF contexts. While it was previously known that promoters fall into distinct classes, here we show that the same promoter can switch between different classes depending on context. Thus, promoters can adopt context-dependent "manifestations". Our analysis suggests that the full complexity of signal processing by genetic circuits may be significantly underestimated when studied in only specific contexts.

| S-EPMC7888307 | biostudies-literature

CDBProm: the Comprehensive Directory of Bacterial Promoters.

Project description:The decreasing cost of whole genome sequencing has produced high volumes of genomic information that require annotation. The experimental identification of promoter sequences, pivotal for regulating gene expression, is a laborious and cost-prohibitive task. To expedite this, we introduce the Comprehensive Directory of Bacterial Promoters (CDBProm), a directory of in-silico predicted bacterial promoter sequences. We first identified that an Extreme Gradient Boosting (XGBoost) algorithm would distinguish promoters from random downstream regions with an accuracy of 87%. To capture distinctive promoter signals, we generated a second XGBoost classifier trained on the instances misclassified in our first classifier. The predictor of CDBProm is then fed with over 55 million upstream regions from more than 6000 bacterial genomes. Upon finding potential promoter sequences in upstream regions, each promoter is mapped to the genomic data of the organism, linking the predicted promoter with its coding DNA sequence, and identifying the function of the gene regulated by the promoter. The collection of bacterial promoters available in CDBProm enables the quantitative analysis of a plethora of bacterial promoters. Our collection with over 24 million promoters is publicly available at https://aw.iimas.unam.mx/cdbprom/.

| S-EPMC10880602 | biostudies-literature

Reducing grid-dependence in finite-difference Poisson-Boltzmann calculations.

Project description:Grid dependence in numerical reaction field energies and solvation forces is a well-known limitation in the finite-difference Poisson-Boltzmann methods. In this study we have investigated several numerical strategies to overcome the limitation. Specifically, we have included trimer arc dots during analytical molecular surface generation to improve the convergence of numerical reaction field energies and solvation forces. We have also utilized the level set function to trace the molecular surface implicitly to simplify the numerical mapping of the grid-independent solvent excluded surface. We have further explored to combine the weighted harmonic averaging of boundary dielectrics with a charge-based approach to improve the convergence and stability of numerical reaction field energies and solvation forces. Our test data show that the convergence and stability in both numerical energies and forces can be improved significantly when the combined strategy is applied to either the Poisson equation or the full Poisson-Boltzmann equation.

| S-EPMC3505068 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data