Abstract
Here, we present a strategy to map and quantify the interactions between Myc and chromatin using a calibrated Myc ChIP-seq approach. We recommend the use of an internal spike-in control for post-sequencing normalization to enable detection of broad changes in Myc binding as can occur under conditions with varied Myc abundance. We also highlight a range of bioinformatic analyses that can dissect the downstream effects of Myc binding. These methods include peak calling, mapping Myc onto an integrated metagenome, juxtaposing ChIP-seq data with matching RNA-seq data, and identifying gene ontologies enriched for genes with high Myc binding. Our aim is to provide a guided strategy, from cell harvest through to bioinformatic analysis, to elucidate the global effects of Myc on transcription.
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Acknowledgments
The computations and data storage were enabled by resources in project SNIC 2018/8-390 provided by the Swedish National Infrastructure for Computing (SNIC) at UPPMAX, partially funded by the Swedish Research Council through grant agreement no. 2018-05973.
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Cameron, D.P., Kuzin, V., Baranello, L. (2021). Analysis of Myc Chromatin Binding by Calibrated ChIP-Seq Approach. In: Soucek, L., Whitfield, J. (eds) The Myc Gene. Methods in Molecular Biology, vol 2318. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1476-1_8
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DOI: https://doi.org/10.1007/978-1-0716-1476-1_8
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