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An intrinsic problem is the throughput of DNA-pulldowns.
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Moreover, the use of NGS instead of the Sanger technology allows considerably increasing the throughput of DNA walking approaches.
NGS uses rapid parallel processing ("ultra high throughput") of DNA, producing massive amounts of sequence data quickly (Ellegren 2008).
Even though DNA-pulldowns could significantly contribute to our understanding of the molecular consequences underlying human genetic variability, to our knowledge this has so far only been shown by two studies.
For example, DNA-pulldowns followed by mass spectrometry allow the unbiased characterization of SNP-dependent protein-DNA interaction dynamics such as the altered recruitment of transcription factor complexes (Butter et al. 2012).
Most AP-MS approaches are based on cell lines that express tagged versions of the proteins of interest and employ quantitative methods, such as the ones described in the following section for DNA-pulldowns, to ensure high specificity (Fig. 2).
First, DNA-pulldowns were used to identify a repressor protein, muscle growth regulator (MGR), that specifically binds to an SNP in the intron of IGF2 and leads to enhanced muscle growth in European pigs (Butter et al. 2010).
Here, we present a novel platform for high throughput analysis of DNA damage in human cells.
Firstly, it has potential for high-throughput analysis of DNA methylation profiles.
In addition, current throughput of the capillary DNA sequencer is not sufficient for multiple measurements.
We performed DNA pulldowns with nuclear extracts of a SILAC-labelled mouse myoblast cell line (C2C12) to discover the repressor that binds differentially to the G3072A SNP in pigs.
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