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. 2021 Mar 10;12:642975. doi: 10.3389/fgene.2021.642975

TABLE 2.

Genomic approaches for enhancer mapping.

Method category Method strategy Description References
ChIP-seq (detect DNA-binding factor occupancy and histone modification profiles) Co-factors (EP300, Mediator) Assays enhancers mediated by specific co-factors; TFs need not be specified in advance. Blow et al., 2010; He et al., 2011; May et al., 2012
Co-occupancy of multiple TFs Reveals specific trans factors but requires specific antibodies for each factor and often each species. Typically requires large numbers of nuclei. He et al., 2011, 2014; Luna-Zurita et al., 2016; Akerberg et al., 2019
Active histone marks (H3K27ac, H3K4me1) Robust antibodies that work across metazoans; reveals enhancer states;requires less input than for TFs. Wamstad et al., 2012; Nord et al., 2013; He et al., 2014
Enzyme tethering ChIP alternative (use factor-mediated in-situ genome fragmentation to profile epigenome) CUT&RUN (pA-MNase fusion protein) Unfixed in-situ procedure, requires lower cell numbers (∼100 for histone modification) and less sequencing reads Skene and Henikoff, 2017; Meers et al., 2019
CUT&Tag (pA-Tn5) Similar to CUT&RUN with a simpler barcoding step; streamlined workflow in a single tube; works on low cell numbers or even single cells Kaya-Okur et al., 2019; Henikoff et al., 2020
CUTAC (pA-Tn5, low salt) Similar to CUT&Tag with a small modification that detects accessible chromatin in parallel with adjacent histone modifications Henikoff et al., 2020
Accessible chromatin profiling (detect nucleosome-depleted regions that are enriched for enhancers) DNase-seq High quality TF footprintscan be generated. Thurman et al., 2012; Vierstra et al., 2014, 2020
ATAC-seq Simple and robust method that requires low cell numbers, widely applied; can be used on frozen sections; produces a comprehensive list of where CREs may be located. Buenrostro et al., 2013; Corces et al., 2017
Nascent RNA sequencing run-on assays (depict the real-time activity of RNA polymerases and detect eRNAs) GRO-seq Detect actively transcribed eRNAs which is a hallmark of active enhancers Core et al., 2008
PRO-seq Refined version of GRO-seq that uses biotinylated nucleotide to reach nucleotide-resolution, low background, and large dynamic ranges Kwak et al., 2013; Core et al., 2014
ChRO-seq Similar to PRO-seq but use chromatin as starting materials; can be applied to solid tissues and samples with degraded RNAs Chu et al., 2018
Chromosome conformation capture (use proximity ligation and detect enhancer-promoter interaction) Hi-C Maps genome-wide chromatin contacts (‘all-to-all’); requires substantial sequencing to reveal local enhancer-promoter interactions Lieberman-Aiden et al., 2009
Promoter capture Hi-C Maps promoter-centric chromatin interactions; requires less reads for detecting promoter-enhancer interactions Mifsud et al., 2015; Schoenfelder et al., 2015
ChIA-PET Detect chromatin interactions mediated by a specific DNA-binding factor; can enrich rare factor-specific chromatin interactions Fullwood et al., 2009; Grubert et al., 2020
HiChIP& PLAC-seq (Use in-situ Hi-C followed by ChIP) Detects factor-centric chromatin interaction similar to ChIA-PET but require 10-fold to 100-fold fewer cells, also more robust and less time-consuming Fang et al., 2016; Mumbach et al., 2016
4C Identifies all genomic regions that interacts a reference locus (‘one-to-all’); can be used for studying specific enhancers Simonis et al., 2006