Dataset Information

Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

ABSTRACT: The ability to determine the relative binding affinity of different transcription-factors (TF) to their DNA binding sites is fundamentally important for a comprehensive understanding of gene regulation. Here we present a general approach for multiplex quantification of DNA-TF binding specificities in vitro using oligonucleotide mass tag (OMT) labeling and mass spectroscopic quantification. An OMT is a short nucleic acid sequence with a distinct mass that can be resolved by a mass spectrometer. Each putative binding sequence is labeled with a unique OMT, and PCR amplification of OMTs is performed after removing nonbound DNA. Subsequently, a primer extension reaction is carried out, and the extension products are quantified by MALDI-TOF mass spectroscopy. Using the TF NF-kappaB P50, we have quantified the binding specificities of up to 15 binding sequences in a single assay. The results from the multiplex assay are consistent with data from the traditional gel shift assay. The approach allows the competitive binding of multiple DNA sequences to the given protein in a homogeneous reaction. By using the commercially available homogeneous MassEXTEND platform (SEQUENOM), it is scalable for high-throughput DNA-TF binding applications, including genome-wide TF binding site mapping and analyses of SNPs in promoter regions.

SUBMITTER: Zhang L

PROVIDER: S-EPMC1805538 | biostudies-literature | 2007 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

Zhang Lingang L Kasif Simon S Cantor And Charles R AC

Proceedings of the National Academy of Sciences of the United States of America 20070220 9

The ability to determine the relative binding affinity of different transcription-factors (TF) to their DNA binding sites is fundamentally important for a comprehensive understanding of gene regulation. Here we present a general approach for multiplex quantification of DNA-TF binding specificities in vitro using oligonucleotide mass tag (OMT) labeling and mass spectroscopic quantification. An OMT is a short nucleic acid sequence with a distinct mass that can be resolved by a mass spectrometer. E ...[more]

PMID: 17360609

Similar Datasets

Project description:Accurate predictions of the DNA binding specificities of transcription factors (TFs) are necessary for understanding gene regulatory mechanisms. Traditionally, predictive models are built based on nucleotide sequence features. Here, we employed three- dimensional DNA shape information obtained on a high-throughput basis to integrate intuitive DNA structural features into the modeling of TF binding specificities using support vector regression. We performed quantitative predictions of DNA binding specificities, using the DREAM5 dataset for 65 mouse TFs and genomic-context protein binding microarray data for three human basic helix-loop-helix TFs. DNA shape-augmented models compared favorably with sequence-based models for these predictions. Although both k-mer and DNA shape features encoded the interdependencies between nucleotide positions of the binding site, using DNA shape features reduced the dimensionality of the feature space compared to k-mer use. Finally, analyzing the weights of DNA shape-augmented models uncovered TF family- specific structural readout mechanisms that were not obvious from the nucleotide sequence. Three genomic-context protein binding microarray (gcPBM) experiments of human transcription factors were performed. Briefly, the gcPBMs involved binding his-tagged transcription factors c-Myc, Max, and Mad1(Mxd1) to double-stranded 180K Agilent microarrays in order to determine their binding specificity for putative DNA binding sites in native genomic context. Briefly, we represent three categories of 36-bp sequences: 1) bound probes, 2) unbound probes (or negative controls), and 3) test probes. Bound probes corresponded to genomic regions bound in vivo by c-Myc, Max, or Mad2 (ChIP-seq P < 10^(-10) in HeLaS3 or K562 celld (ENCODE)) that contain at least two consecutive 8-mers with universal PBM E-score > 0.4 (Munteanu and Gordan, LNCS 2013). All putative binding sites occur at the same position within the probes on the array. M-bM-^@M-^\UnboundM-bM-^@M-^] probes corresponded to genomic regions with ChIP-seq P < 10^(-10) and a maximum 8-mer E-score < 0.2. We also designed test probes that contain, within constant flanking regions, all nnCACGTGnn 10-mers and 18 nnnCACGTGnnn 12-mers (where n = A, C, G, or T). Each DNA sequence represented on the array is present in 6 replicate spots. We report the gcPBM signal intensity for each spot. The PBM protocol is described in Berger et al., Nature Biotechnology 2006 (PMID 16998473).

Dataset Information

Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

Publications

Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets