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Tools to analyze nuclear function,
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Low Cell Number ChIP-Seq

Genome-wide binding profiles from as few as 10,000 cells

Standard ChIP-Seq protocols require at least 10,000,000 cells to perform ChIP-Seq, a number that is unattainable for many primary cell types. As a result, for some cell types, one of the major obstacles preventing researchers from generating quality ChIP-Seq data is the limited cell numbers available for those cell systems. Until now.

Active Motif’s Epigenetic Services group has made significant improvements to our ChIP-Seq protocols and pipeline, and as a result, we have reduced starting material requirements by 1,000 fold! Our team can now generate genome-wide binding profiles using as few as 10,000 cells.

See for yourself, browse some of our complete data sets:
    

Ideal for the analysis of:

  1. Live FACS sorted cells.
  2. Samples isolated from magnetic-activated cell sorting.
  3. Primary tissues or cells such as pancreatic Beta cells.
  4. Limited patient samples.
  5. Small human biopsies.

The Low Cell Number ChIP-Seq Service includes:

Customers submit cell pellets or small frozen tissues, then we:

  1. Fix samples, prepare chromatin and sonicate.
  2. Perform ChIP with a ChIP-validated antibody.
  3. Construct ChIP-Seq libraries.
  4. Perform Next-Gen sequencing.
  5. Analyze the data and deliver it to the customer.

To learn more, send us an Epigenetic Services Information Request. You can also download Active Motif’s Epigenetic Services Profile.

 
Name Cat No. Price  
Low Cell Number ChIP-Seq 25008 Request Quote
Low Cell Data 1
Figure 1: Comparison of ChIP-Seq data generated with 50,000 and 10,000 cells

A) Publicly available H3K27me3 ChIP-Seq data was generated from 10,000,000 cells and is displayed in comparison to our low cell number ChIP-Seq data. H3K27me3 ChIP-Seq data from 50,000 cells (B) and 10,000 cells (C) show a high degree of similarity to the reference data set.


Low Cell Data 2
Figure 2: Comparison of ChIP-Seq data generated with 10,000 cells

A) Publicly available H3K27Ac ChIP-Seq data generated from 10,000,000 cells is displayed as a reference and compared to our low cell number ChIP-Seq data. Our H3K27Ac ChIP-Seq data from 10,000 cells (B) shows a high degree of similarity to the reference data set.


Low Cell Data 3
Figure 3: Comparison of ChIP-Seq data generated with 50,000 and 10,000 cells

A) Publicly available CTCF ChIP-Seq data was generated from 10,000,000 cells and is displayed in comparison to our low cell number ChIP-Seq data. Our CTCF ChIP-Seq data from 50,000 cells (B) and 10,000 cells (C) shows a high degree of similarity to the reference data set.