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ChIP-Seq for small number of cellsModerator: BioTeam
5 posts • Page 1 of 1
ChIP-Seq for small number of cellsWe are trying to do ChIP-seq using small number of cells (10,000-20,000 cells). We tried the method from Dr. Bradley Bernstein' s group (Adli et al., 2010 Nat Methods), but the data quality is not very good.
Some previous studies used WGA4 kit to amplify the ChIP DNA from small number of cells, then folowed by ChIP-Chip study. I wonder anyone tried the same method for ChIP -seq using illumina solexa sequencing? Any suggestion would be appreciated!
Re: ChIP-Seq for small number of cellsWe also tried the method by Adli et al but similarly faced the problem of getting not really high quality data. I tried it for a transcription factor though. Perhaps it works with histone modifications but it is certainly much more challenging with transcription factors.
Re: ChIP-Seq for small number of cellsHi there,
I would like to perform a ChIP-seq on primary cells (FACS sorted). However, I can get only a limited number of cells per mouse (~3000/mouse). So I'd end up with 20,000 cells, is that enough for ChIP-seq? How about reproducibility? I read the paper from the Myers' lab, they used 50ng DNA and amplified it. 20,000 cells should give me ~200ng DNA, that might work. Has anyone experience with small cell numbers for ChIP-seq? Is there a protocol or article describing ChIP-seq on small number of sorted cells? Thanks a lot! Cheers
Re: ChIP-Seq for small number of cells"After you’ve got your hands on the isolated chromatin from your samples, the first critical step in the ChIP-Seq process is shearing it into little bite-sized fragments. This can be done in two ways:
Enzymatic Digestion Sonication In ChIP-Seq the fragment size is especially important in order to create good sequencing libraries. In standard ChIP assays you might shoot for fragment lengths anywhere from 200-1000 bp, but for ChIP-Seq it’s a bit shorter, 100-300 bp on the SOLiD platform for example. Pickle suggests optimizing your shearing conditions ahead of time before diving into an experiment."
5 posts • Page 1 of 1
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