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Auto iDeal ChIP-seq Kit for Transcription Factors

ChIP kit icon
目录号
格式
价格
C01010058
24 rxns
$1,130.00
其他格式
C01010172
100 rxns

This product must be used with the IP-Star Compact Automated System.

Diagenode’s Auto iDeal ChIP-seq Kit for Transcription Factors is a highly specialized solution for robust Transcription Factor ChIP-seq results. Unlike competing solutions, our kit utilizes a highly optimized protocol and is backed by validation with a broad number and range of transcription factors. The kit provides high yields with excellent specificity and sensitivity.

  • Characteristics
    • Confidence in results: Validated for ChIP-seq with multiple transcription factors
    • Proven: Validated by the epigenetics community, including the BLUEPRINT consortium
    • Most complete kit available for highest quality data - includes control antibodies and primers
    • Validated with Diagenode's MicroPlex Library Preparation™ kit and IP-Star® Automation System

     

    ChIP-seq on cells

    CTCF Diagenode

    Figure 1. (A) Chromatin Immunoprecipitation has been performed using chromatin from HeLa cells, the iDeal ChIP-seq kit for Transcription Factors and the Diagenode ChIP-seq-grade CTCF antibody. The IP'd DNA was subsequently analysed on an Illumina® HiSeq. Library preparation, cluster generation and sequencing were performed according to the manufacturer's instructions. This figure shows the peak distribution in a region surrounding the GAPDH positive control gene.

    CTCF Diagenode

    Figure 1B. The ChIP-seq dataset from this experiment has been compared with a reference dataset from the Broad Institute. We observed a perfect match between the top 40% of Diagenode peaks and the reference dataset. Based on the NIH Encode project criterion, ChIP-seq results are considered reproducible between an original and reproduced dataset if the top 40% of peaks have at least an 80% overlap ratio with the compared dataset.

     

    ChIP-seq figure A

    ChIP-seq figure B

    ChIP-seq figure C

    Figure 2. Chromatin Immunoprecipitation has been performed using chromatin from HeLa cells, the iDeal ChIP-seq kit for Transcription Factors and the Diagenode ChIP-seq-grade HDAC1 (A), LSD1 (B) and p53 antibody (C). The IP'd DNA was subsequently analysed on an Illumina® Genome Analyzer. Library preparation, cluster generation and sequencing were performed according to the manufacturer's instructions. This figure shows the peak distribution in regions of chromosome 3 (A), chromosome 12 (B) and chromosome 6 (C) respectively.

     

    ChIP-seq on tissue

    ChIP-seq figure A

    Figure 3A. Chromatin Immunoprecipitation has been performed using chromatin from mouse liver tissue, the iDeal ChIP-seq kit for Transcription Factors and the Diagenode ChIP-seq-grade CTCF antibody. The IP'd DNA was subsequently analysed on an Illumina® HiSeq. Library preparation, cluster generation and sequencing were performed according to the manufacturer's instructions. This figure shows the peak distribution in a region surrounding the Vwf positive control gene.

    Match of the Top40 peaks

    Figure 3B. The ChIP-seq dataset from this experiment has been compared with a reference dataset from the Broad Institute. We observed a perfect match between the top 40% of Diagenode peaks and the reference dataset. Based on the NIH Encode project criterion, ChIP-seq results are considered reproducible between an original and reproduced dataset if the top 40% of peaks have at least an 80% overlap ratio with the compared dataset.

  • Species, cell lines, tissues tested

    The iDeal ChIP-seq Kit for Transcription Factors is compatible with a broad variety of cell lines, tissues and species, as shown below. Other species / cell lines / tissues can be used with this kit.

    Cell lines:

    Human: A549, A673, BT-549, CD4 T, HCC1806, HeLa, HepG2, HFF, HK-GFP-MR, ILC, K562, KYSE-180, LapC4, M14, MCF7, MDA-MB-231, MDA-MB-436, RDES, SKNO1, VCaP, U2-OS, ZR-75-1                     

    Mouse: ESC, NPCs, BZ, GT1-7, acinar cells, HSPCs, Th2 cells, keratinocytes

    Cattle: pbMEC, MAC-T

    Tissues:

    Mouse: kidney, heart, brain, iris, liver, limbs from E10.5 embryos

    Horse: liver, brain, heart, lung, skeletal muscle, lamina, ovary

    ChIP on yeast

    The iDeal ChIP-seq kit for TF is compatible with yeast samples. Check out our Application Note presenting an optimized detailed protocol for ChIP on yeast.

    Did you use the iDeal ChIP-seq for Transcription Factors Kit on other cell line / tissue / species? Let us know!

  • Additional solutions compatible with Auto iDeal ChIP-seq kit for Transcription Factors

    The Chromatin shearing optimization kit – Low SDS (iDeal Kit for TFs) is the kit compatible with the iDeal ChIP-seq kit for TF, recommended for the optimization of chromatin shearing, a critical step for ChIP.

    ChIP Cross-link Gold should be used in combination with formaldehyde when working with higher order and/or dynamic interactions, for efficient protein-protein fixation.

    For library preparation of immunoprecipitated samples we recommend to use the  MicroPlex Library Preparation Kit - validated for library preparation from picogram inputs.

    ChIP-seq grade antibodies provide high yields with excellent specificity and sensitivity.

    Check the list of available Primer pairs designed for high specificity to specific genomic regions.

  •  文档
    Chromatin Brochure BROCHURE
    Whether you are experienced or new to the field of chromatin immunoprecipitation, Diagenode has e...    		 Download
    Auto iDeal ChIP-seq kit for Transcription Factors MANUAL
    The Auto iDeal ChIP-seq kit for Transcription Factors was developed to enhance the utility ...    		 Download
    Optimize the selection of guide RNA by ChIP to keep CRISPR on-target APPLICATION NOTE
    The mechanisms of target recognition and target specificity of the Cas9 protein is still not comp...    		 Download
    Auto ChIPmentation for TFs PROTOCOL
    		 Download
    Application note - ChIP on yeast APPLICATION NOTE
    The Application Note: "Use of the iDeal® chromatin immunoprecipitation (ChIP) kit for the ide...    		 Download
  •  出版物

    How to properly cite this product in your work

    Diagenode strongly recommends using this: Auto iDeal ChIP-seq Kit for Transcription Factors (Diagenode Cat# C01010058). Click here to copy to clipboard.

    Using our products in your publication? Let us know!

    GATA6 is predicted to regulate DNA methylation in an in vitro model ofhuman hepatocyte differentiation.
    Suzuki T. et al.
    Hepatocytes are the dominant cell type in the human liver, with functions in metabolism, detoxification, and producing secreted proteins. Although gene regulation and master transcription factors involved in the hepatocyte differentiation have been extensively investigated, little is known about how the epigenome is...

    Postoperative abdominal sepsis induces selective and persistent changes inCTCF binding within the MHC-II region of human monocytes.
    Siegler B. et al.
    BACKGROUND: Postoperative abdominal infections belong to the most common triggers of sepsis and septic shock in intensive care units worldwide. While monocytes play a central role in mediating the initial host response to infections, sepsis-induced immune dysregulation is characterized by a defective antigen present...

    Guidelines for optimized gene knockout using CRISPR/Cas9
    Campenhout CV et al.
    CRISPR/Cas9 technology has evolved as the most powerful approach to generate genetic models both for fundamental and preclinical research. Despite its apparent simplicity, the outcome of a genome-editing experiment can be substantially impacted by technical parameters and biological considerations. Here, we present ...

    EZH2 is overexpressed in transitional preplasmablasts and is involved in human plasma cell differentiation.
    Herviou L, Jourdan M, Martinez AM, Cavalli G, Moreaux J
    Plasma cells (PCs) play a major role in the defense of the host organism against pathogens. We have shown that PC generation can be modeled using multi-step culture systems that reproduce the sequential cell differentiation occurring in vivo. Using this unique model, we investigated the role of EZH2 during PC differ...

    Platelet function is modified by common sequence variation in megakaryocyte super enhancers
    Petersen R. et al.
    Linking non-coding genetic variants associated with the risk of diseases or disease-relevant traits to target genes is a crucial step to realize GWAS potential in the introduction of precision medicine. Here we set out to determine the mechanisms underpinning variant association with platelet quantitative traits usi...

    TET-Catalyzed 5-Hydroxymethylation Precedes HNF4A Promoter Choice during Differentiation of Bipotent Liver Progenitors
    Ancey P.B. et al.
    Understanding the processes that govern liver progenitor cell differentiation has important implications for the design of strategies targeting chronic liver diseases, whereby regeneration of liver tissue is critical. Although DNA methylation (5mC) and hydroxymethylation (5hmC) are highly dynamic during early embryo...

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