Chip
Explore new realms of gene regulation through DNA-protein interactions. Confidently identify and characterize complex regulatory events and networks. Generate reliable data with ChIP Analytics.
Traditional techniques for gene expression analysis have provided valuable insights towards deciphering the human genome, yet inherent limitations present obstacles in characterizing transcription processes and gene regulation. Characterizing the intricacies of transcriptional regulation requires analytical tools that address the complexities associated with DNA-protein interactions and binding, weaving together the fields of genomics and proteomics. In order to move beyond traditional expression methods, expanding your research portfolio to include global gene regulation, you need a highly focused microarray application that allows you to explore transcriptional events. A platform that enables you to determine the precise DNA sequence location where regulatory proteins are bound, resulting in either activation or repression of associated genes. The Agilent ChIP-on-chip microarray combines comprehensive coverage and extreme sensitivity in an array specifically designed for location analysis, letting you perform high-resolution mapping of transcriptional activities.
- Engineered for flexibility – Powered by Agilent's SurePrint inkjet technology, our array manufacturing process synthesizes oligonucleotides to your exact specifications, enabling total control over array content with no compromise in cost or data quality. You define content for any tiling density, genomic region, and organism of interest. Combined with eArray, our online array design tool, you now have the capability to move from idea to experiment within days.
- Focused on sensitivity – Agilent’s 60-mer oligonucleotides combined with a convenient two-color labeling system deliver higher sensitivity, accuracy, and reproducibility for detecting transcriptional changes.
- Designed for integration – ChIP Analytics combines powerful algorithms with multiple probes to generate reliable data with greater true-binding events and fewer false positives.
Genome-Wide Screen of Transcription Factor Binding Sites
A review of Serum response factor binding sites differ in three human cell types.
The serum response factor (SRF) is a MADS-box transcription factor with divergent roles in embryonic development and maintenance of muscle cells and neurons, as well as being correlated to human diseases such as cancer and heart disease. To explore the relationship between SRF and the ability to bind to diverse cell types, Cooper et al. (2007) used Agilent’s ChIP and human promoter microarrays to perform genome-wide characterization of SFR binding sites...
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A New Technique for Identifying the RNA Targets of RNA-binding Proteins
A review of Genome-wide analysis of mRNAs bound to the histone stem-loop binding protein.
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Elucidating transcriptional regulatory elements using chromatin immunoprecipitation-based location analysis
A review of Variant histone H2A.Z is globally localized to the promoters of inactive yeast genes and regulates nucleosome positioning.
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Characterizing Protein Transcriptional Regulation
A review of Transcriptional regulation of protein complexes within and across species.
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Characterizing Regulatory Control of DNA Replication in Eukaryotic Cells
A review of A comparative analysis of genome-wide chromatin immunoprecipitation data for mammalian transcription factors.
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Characterizing Regulatory Control of DNA Replication in Eukaryotic Cells
A review of Genome-wide analysis of re-replication reveals inhibitory controls that target multiple stages of replication initiation.
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Exploration of Drosophila Regulatory Networks and Embryonic Development
A review of Whole-genome ChIP-chip analysis of Dorsal, Twist, and Snail suggests integration of diverse patterning processes in the Drosophila embryo.
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