Comprehensive identification of TFBS (transcription factor binding sites) in whole genome-wide is essential for characterizing regulatory elements and TF function. ChIP-Seq (Chromatin immunoprecipitation sequencing) is a powerful approach for determining in vivo TFBS. However, the method is limited in scale as it depends on specific antibodies for each transcription factor, which can be technically challenging and expensive. Currently, alternatives methods DAP-Seq can offer a simple and high-throughput method to examine TF binding to its cognate target (gDNA) in a chromatin-free context, while maintaining important information related to primary genome sequence and DNA methylation. The method does not require the specific antibodies or gene-specific primers, suitable for all eukaryotes, leading to a powerful tool for understanding regulatory elements and TF function.
Advantages of DAP-Seq
DAP-Seq Workflow
Our highly experienced expert team executes quality management following every procedure to ensure comprehensive and accurate results. Our DAP-Seq workflow is outlined below, including library prep, protein expression, DNA affinity purification, sequencing, and bioinformatics analysis.
Figure 1. DAP-Seq workflow
Service Specifications
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Sample Requirements
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Sequencing
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Bioinformatics Analysis We provide customized bioinformatics analysis including:
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Bioinformatics workflow
Figure 2. Bioinformatics workflow of DAP-Seq
Deliverables
At CD Genomics, we provide you with high-quality sequencing and comprehensive bioinformatics analysis for your DAP-Seq project, enabling TFBS identification (transcription factor binding sites) in whole genome-wide. If you have additional requirements or questions, please feel free to contact us.
References:
[1] Ronan C. O’Malley, S. shan C. Huang, L. Song, et al. Cistrome and epicistrome features shape the regulatory DNA landscape, Cell, 165 (2016) 1280–1292.
[2] Anna Bartlett, Ronan C. O’Malley, S. shan C. Huang, et al. Mapping genome-wide transcription-factor binding sites using DAP-Seq, Nature Protocols, 12 (2017) 1659–1672.