Browse
Submit Data
Databases
API
Help

Dataset Information

33 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Quantitative microarray profiling of DNA-binding molecules.

ABSTRACT: A high-throughput Cognate Site Identity (CSI) microarray platform interrogating all 524 800 10-base pair variable sites is correlated to quantitative DNase I footprinting data of DNA binding pyrrole-imidazole polyamides. An eight-ring hairpin polyamide programmed to target the 5 bp sequence 5'-TACGT-3' within the hypoxia response element (HRE) yielded a CSI microarray-derived sequence motif of 5'-WWACGT-3' (W = A,T). A linear beta-linked polyamide programmed to target a (GAA)3 repeat yielded a CSI microarray-derived sequence motif of 5'-AARAARWWG-3' (R = G,A). Quantitative DNase I footprinting of selected sequences from each microarray experiment enabled quantitative prediction of Ka values across the microarray intensity spectrum.

SUBMITTER: Puckett JW

PROVIDER: S-EPMC3066056 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Quantitative microarray profiling of DNA-binding molecules.

Puckett James W JW Muzikar Katy A KA Tietjen Josh J Warren Christopher L CL Ansari Aseem Z AZ Dervan Peter B PB

Journal of the American Chemical Society 20070919 40

A high-throughput Cognate Site Identity (CSI) microarray platform interrogating all 524 800 10-base pair variable sites is correlated to quantitative DNase I footprinting data of DNA binding pyrrole-imidazole polyamides. An eight-ring hairpin polyamide programmed to target the 5 bp sequence 5'-TACGT-3' within the hypoxia response element (HRE) yielded a CSI microarray-derived sequence motif of 5'-WWACGT-3' (W = A,T). A linear beta-linked polyamide programmed to target a (GAA)3 repeat yielded a C ...[more]

PMID: 17880081

Similar Datasets

DNA profiling using solid-state nanopores: detection of DNA-binding molecules.

Project description:We present a novel single-molecule method for rapidly evaluating small-molecule binding to individual DNA molecules using nanopores fabricated in ultrathin silicon membranes. A measurable shift in the residual ion current through a approximately 3.5 nm pore results from threading of a dye-intercalated DNA molecule, as compared to the typical residual current of native DNA. The average level of the residual current can be used to directly quantify the fraction of bound molecules to DNA, providing a new way to determine binding isotherms. Spatial sensitivity is also demonstrated by designing a two-segment DNA molecule that contains small-molecule binding sites in one of its two segments. Translocations of such molecules exhibit two current levels upon incubation with a DNA-binding dye, caused by selectively bound dye in one of the DNA segments. Our results, as shown here with four different dyes, coincide well with bulk fluorescence measurements performed under identical conditions. The nanopore approach for "reading-out" molecular binding along a DNA molecule, combined with the miniscule amounts of DNA required and the potential for scalability using nanopore arrays, provide a novel platform for future applications in analytical drug screening.

| S-EPMC2871189 | biostudies-literature

Context influences on TALE-DNA binding revealed by quantitative profiling.

Project description:Transcription activator-like effector (TALE) proteins recognize DNA using a seemingly simple DNA-binding code, which makes them attractive for use in genome engineering technologies that require precise targeting. Although this code is used successfully to design TALEs to target specific sequences, off-target binding has been observed and is difficult to predict. Here we explore TALE-DNA interactions comprehensively by quantitatively assaying the DNA-binding specificities of 21 representative TALEs to ∼5,000-20,000 unique DNA sequences per protein using custom-designed protein-binding microarrays (PBMs). We find that protein context features exert significant influences on binding. Thus, the canonical recognition code does not fully capture the complexity of TALE-DNA binding. We used the PBM data to develop a computational model, Specificity Inference For TAL-Effector Design (SIFTED), to predict the DNA-binding specificity of any TALE. We provide SIFTED as a publicly available web tool that predicts potential genomic off-target sites for improved TALE design.

| S-EPMC4467457 | biostudies-literature

Quantitative isoform-profiling of highly diversified recognition molecules.

Project description:Complex biological systems rely on cell surface cues that govern cellular self-recognition and selective interactions with appropriate partners. Molecular diversification of cell surface recognition molecules through DNA recombination and complex alternative splicing has emerged as an important principle for encoding such interactions. However, the lack of tools to specifically detect and quantify receptor protein isoforms is a major impediment to functional studies. We here developed a workflow for targeted mass spectrometry by selected reaction monitoring that permits quantitative assessment of highly diversified protein families. We apply this workflow to dissecting the molecular diversity of the neuronal neurexin receptors and uncover an alternative splicing-dependent recognition code for synaptic ligands.

| S-EPMC4489214 | biostudies-literature

Microarray-based DNA methylation profiling: technology and applications.

Project description:This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrogated on microarrays. We have investigated various aspects of the technology including its replicability, informativeness, sensitivity and optimal PCR conditions using microarrays containing oligonucleotides representing 100 kb of genomic DNA derived from the chromosome 22 COMT region in addition to 12 192 element CpG island microarrays. Several new aspects of methylation profiling are provided, including the parallel identification of confounding effects of DNA sequence variation, the description of the principles of microarray design for epigenomic studies and the optimal choice of methylation sensitive restriction enzymes. We also demonstrate the advantages of using the unmethylated DNA fraction versus the methylated one, which substantially improve the chances of detecting DNA methylation differences. We applied this methodology for fine-mapping of methylation patterns of chromosomes 21 and 22 in eight individuals using tiling microarrays consisting of over 340 000 oligonucleotide probe pairs. The principles developed in this work will help to make epigenetic profiling of the entire human genome a routine procedure.

| S-EPMC1345696 | biostudies-literature

Global profiling of protein-DNA and protein-nucleosome binding affinities using quantitative mass spectrometry.

Project description:Interaction proteomics studies have provided fundamental insights into multimeric biomolecular assemblies and cell-scale molecular networks. Significant recent developments in mass spectrometry-based interaction proteomics have been fueled by rapid advances in label-free, isotopic, and isobaric quantitation workflows. Here, we report a quantitative protein-DNA and protein-nucleosome binding assay that uses affinity purifications from nuclear extracts coupled with isobaric chemical labeling and mass spectrometry to quantify apparent binding affinities proteome-wide. We use this assay with a variety of DNA and nucleosome baits to quantify apparent binding affinities of monomeric and multimeric transcription factors and chromatin remodeling complexes.

| S-EPMC5916898 | biostudies-literature

Microarray-based technologies for the discovery of selective, RNA-binding molecules.

Project description:The identification of small molecules that bind specifically to RNA is a challenge. However, the recent explosion in knowledge about the role RNA plays in a number of physiological processes apart from coding for protein sequences makes it a highly interesting target for chemical probes and therapeutics. One technology that has played an important role in the discovery of RNA-binding molecules is microarrays. Microarrays have been broadly employed to screen, profile, and quantify RNA interactions, and will likely play an important role in the discovery of new classes of ligands going forward. Here, we discuss the development of microarray technologies, including aminoglycoside, peptide, peptoid, and small molecule microarrays, and their use in studying RNA-interacting molecules.

| S-EPMC6314024 | biostudies-other

Design of sequence-specific DNA binding molecules for DNA methyltransferase inhibition.

Project description:The CpG dyad, an important genomic feature in DNA methylation and transcriptional regulation, is an attractive target for small molecules. To assess the utility of minor groove binding oligomers for CpG recognition, we screened a small library of hairpin pyrrole-imidazole polyamides targeting the sequence 5'-CGCG-3' and assessed their sequence specificity using an unbiased next-generation sequencing assay. Our findings indicate that hairpin polyamide of sequence PyImβIm-γ-PyImβIm (1), previously identified as a high affinity 5'-CGCG-3' binder, favors 5'-GCGC-3' in an unanticipated reverse binding orientation. Replacement of one β alanine with Py to afford PyImPyIm-γ-PyImβIm (3) restores the preference for 5'-CGCG-3' binding in a forward orientation. The minor groove binding hairpin 3 inhibits DNA methyltransferase activity in the major groove at its target site more effectively than 1, providing a molecular basis for design of sequence-specific antagonists of CpG methylation.

| S-EPMC3985849 | biostudies-literature

Oligonucleotide DNA microarray profiling identifies novel genes involved in lung adenocarcinoma

Project description:The purpose of this study was to find novel gene(s) involved in the development of lung adenocarcinomas (AD) using an oligonucleotide based DNA microarray platform with a selected set of genes from Human Apoptosis Subset v2.0 and Human Cancer Subset v3.0 (Operon). In order to identify possible novel genes involved in the development of lung ADs we analysed the expression profile of 12 lung adenocarcinomas. We used dual color approach. Tumour tissue was labeled with Cy5 and corresponding normal tissue was labeled with Cy3. Each array contained at least 4 replicate spots for each gene analysed. Gene expression was obtained by calculating median from replicate spots.

| S-ECPF-GEOD-13947 | biostudies-other

Specificity landscapes of DNA binding molecules elucidate biological function.

Project description:Evaluating the specificity spectra of DNA binding molecules is a nontrivial challenge that hinders the ability to decipher gene regulatory networks or engineer molecules that act on genomes. Here we compare the DNA sequence specificities for different classes of proteins and engineered DNA binding molecules across the entire sequence space. These high-content data are visualized and interpreted using an interactive "specificity landscape" which simultaneously displays the affinity and specificity of a million-plus DNA sequences. Contrary to expectation, specificity landscapes reveal that synthetic DNA ligands match, and often surpass, the specificities of eukaryotic DNA binding proteins. The landscapes also identify differential specificity constraints imposed by diverse structural folds of natural and synthetic DNA binders. Importantly, the sequence context of a binding site significantly influences binding energetics, and utilizing the full contextual information permits greater accuracy in annotating regulatory elements within a given genome. Assigning such context-dependent binding values to every DNA sequence across the genome yields predictive genome-wide binding landscapes (genomescapes). A genomescape of a synthetic DNA binding molecule provided insight into its differential regulatory activity in cultured cells. The approach we describe will accelerate the creation of precision-tailored DNA therapeutics and uncover principles that govern sequence-specificity of DNA binding molecules.

| S-EPMC2842033 | biostudies-literature

Defining the sequence-recognition profile of DNA-binding molecules.

Project description:Determining the sequence-recognition properties of DNA-binding proteins and small molecules remains a major challenge. To address this need, we have developed a high-throughput approach that provides a comprehensive profile of the binding properties of DNA-binding molecules. The approach is based on displaying every permutation of a duplex DNA sequence (up to 10 positional variants) on a microfabricated array. The entire sequence space is interrogated simultaneously, and the affinity of a DNA-binding molecule for every sequence is obtained in a rapid, unbiased, and unsupervised manner. Using this platform, we have determined the full molecular recognition profile of an engineered small molecule and a eukaryotic transcription factor. The approach also yielded unique insights into the altered sequence-recognition landscapes as a result of cooperative assembly of DNA-binding molecules in a ternary complex. Solution studies strongly corroborated the sequence preferences identified by the array analysis.

| S-EPMC1347994 | 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