2019
DOI: 10.1093/nar/gkz134
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Determination of local chromatin interactions using a combined CRISPR and peroxidase APEX2 system

Abstract: The architecture and function of chromatin are largely regulated by local interacting molecules, such as transcription factors and noncoding RNAs. However, our understanding of these regulatory molecules at a given locus is limited because of technical difficulties. Here, we describe the use of Clustered Regularly Interspaced Short Palindromic Repeats and an engineered ascorbate peroxidase 2 (APEX2) system to investigate local chromatin interactions (CAPLOCUS). We showed that with specific small-guide RNA targ… Show more

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Cited by 38 publications
(31 citation statements)
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“…Nevertheless, ingenious BioID variations (such as ChromID), continue to be designed [readers are referred to other recent reviews on proximity-based labeling (Kim and Roux, 2016;Samavarchi-Tehrani et al, 2020)]. Of particular interest are those that fuse APEX (CASPEX, C-BERST, and CAPLOCUS) or biotin ligases (CasID) to dCas9, to label proteins at a specific genomic locus, via sgRNA targeting (Schmidtmann et al, 2016;Gao et al, 2018;Myers et al, 2018;Qiu et al, 2019). In initial experiments, CASPEX was localized to the hTERT promoter and identified known interactors, such as TP53 and MAZ (Myers et al, 2018).…”
Section: Locus-specific Chromatin Analysismentioning
confidence: 99%
“…Nevertheless, ingenious BioID variations (such as ChromID), continue to be designed [readers are referred to other recent reviews on proximity-based labeling (Kim and Roux, 2016;Samavarchi-Tehrani et al, 2020)]. Of particular interest are those that fuse APEX (CASPEX, C-BERST, and CAPLOCUS) or biotin ligases (CasID) to dCas9, to label proteins at a specific genomic locus, via sgRNA targeting (Schmidtmann et al, 2016;Gao et al, 2018;Myers et al, 2018;Qiu et al, 2019). In initial experiments, CASPEX was localized to the hTERT promoter and identified known interactors, such as TP53 and MAZ (Myers et al, 2018).…”
Section: Locus-specific Chromatin Analysismentioning
confidence: 99%
“…These include nucleic acid hybridization-based approaches (Ide and Dejardin 2015;DĂ©jardin and Kingston 2009;AntĂŁo et al 2012;Kennedy-Darling et al 2014) and approaches that utilize DNA-binding proteins including LexA (Byrum et al 2012;Fujita and Fujii 2011), TetR (Pourfarzad et al 2013), Cas9 (Waldrip et al 2014;Fujita and Fujii 2013;X. Liu et al 2017;Gao et al 2018;Schmidtmann et al 2016;Tsui et al 2018;Qiu et al 2019) or TALE proteins (Fujita et al 2013;Byrum, Taverna, and Tackett 2013;Fang et al 2018). Although nucleic acid hybridization-based approaches pioneered the field, they require intensive probe-specific optimizations (Ide and Dejardin 2015;DĂ©jardin and Kingston 2009;AntĂŁo et al 2012), which may account for why this approach has not yet been widely adopted nor translated to single copy elements in mammalian cells.…”
Section: Introductionmentioning
confidence: 99%
“…To target such challenging genomic regions in the mammalian genome, TALE (Fang et al 2018) and CRISPR/Cas9 (Waldrip et al 2014;Fujita and Fujii 2013;X. Liu et al 2017;Gao et al 2018;Schmidtmann et al 2016;Tsui et al 2018;Qiu et al 2019) approaches are starting to emerge as the systems of choice as, unlike TetR and LexA proteins, they do not rely on genetic engineering of binding sites into the target sequence.…”
Section: Introductionmentioning
confidence: 99%
“…The ease-of-use and flexibility to target any genomic loci by simply changing the sequence of the single guide RNA (sgRNA) sets this technology apart from other traditionally used technologies like zinc finger nucleases (ZFNs) and transcription activatorlike effector nucleases (TALENs), which requires extensive protein engineering to target specific DNA bases [3][4][5] . The catalytically inactive mutant of Cas9, also called dead Cas9 (dCas9), has further harnessed the utility of this genome targeting tool for localized delivery of functional tags to enable transcriptional activation/repression 6,7 , base-editing 8,9 , chromatin pull-down 10,11 , and gene visualization 12 . These applications greatly rely on dCas9 derivatized with genetically encoded fusion proteins (e.g., eGFP, APOBEC, VP64) 13 and epitope tags (e.g., Flag and SunTag) [14][15][16] .…”
Section: Introductionmentioning
confidence: 99%