2019
DOI: 10.1101/706903
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μDamID: a microfluidic approach for imaging and sequencing protein-DNA interactions in single cells

Abstract: 1 2 Genome regulation depends on carefully programmed protein-DNA interactions that maintain or 3 alter gene expression states, often by influencing chromatin organization. Most studies of these 4 interactions to date have relied on bulk methods, which in many systems cannot capture the 5 dynamic single-cell nature of these interactions as they modulate cell states. One method allowing 6 for sensitive single-cell mapping of protein-DNA interactions is DNA adenine methyltransferase 7 identification (DamID), whi… Show more

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“…65 For example, μCB-seq could be paired with super-resolution microscopy to investigate phase separation of superenhancers and its effect on gene expression across the whole transcriptome of individual cells. 66 Another implementation could pair μCB-seq with microfluidic DamID 67 to investigate the bidirectional interplay between gene expression and chromatin organization in the same single cell. We believe the μCB-seq platform will be a powerful tool for investigations aiming to understand the association between a phenotype and the transcriptome, thereby gaining a highresolution fingerprint for a particular cell population identified using other higher-throughput scRNA-seq protocols.…”
Section: Resultsmentioning
confidence: 99%
“…65 For example, μCB-seq could be paired with super-resolution microscopy to investigate phase separation of superenhancers and its effect on gene expression across the whole transcriptome of individual cells. 66 Another implementation could pair μCB-seq with microfluidic DamID 67 to investigate the bidirectional interplay between gene expression and chromatin organization in the same single cell. We believe the μCB-seq platform will be a powerful tool for investigations aiming to understand the association between a phenotype and the transcriptome, thereby gaining a highresolution fingerprint for a particular cell population identified using other higher-throughput scRNA-seq protocols.…”
Section: Resultsmentioning
confidence: 99%