dc.contributor.author | Guo, Monica S | |
dc.contributor.author | Kawamura, Ryo | |
dc.contributor.author | Littlehale, Megan L | |
dc.contributor.author | Marko, John F | |
dc.contributor.author | Laub, Michael T | |
dc.date.accessioned | 2021-10-27T20:23:03Z | |
dc.date.available | 2021-10-27T20:23:03Z | |
dc.date.issued | 2021-07-19 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/135346 | |
dc.description.abstract | <jats:p>Supercoiling impacts DNA replication, transcription, protein binding to DNA, and the three-dimensional organization of chromosomes. However, there are currently no methods to directly interrogate or map positive supercoils, so their distribution in genomes remains unknown. Here, we describe a method, GapR-seq, based on the chromatin immunoprecipitation of GapR, a bacterial protein that preferentially recognizes overtwisted DNA, for generating high-resolution maps of positive supercoiling. Applying this method to <jats:italic>Escherichia coli</jats:italic> and <jats:italic>Saccharomyces cerevisiae</jats:italic>, we find that positive supercoiling is widespread, associated with transcription, and particularly enriched between convergently oriented genes, consistent with the ‘twin-domain’ model of supercoiling. In yeast, we also find positive supercoils associated with centromeres, cohesin-binding sites, autonomously replicating sites, and the borders of R-loops (DNA-RNA hybrids). Our results suggest that GapR-seq is a powerful approach, likely applicable in any organism, to investigate aspects of chromosome structure and organization not accessible by Hi-C or other existing methods.</jats:p> | |
dc.language.iso | en | |
dc.publisher | eLife Sciences Publications, Ltd | |
dc.relation.isversionof | 10.7554/elife.67236 | |
dc.rights | Creative Commons Attribution 4.0 International license | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | eLife | |
dc.title | High-resolution, genome-wide mapping of positive supercoiling in chromosomes | |
dc.type | Article | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biology | |
dc.contributor.department | Howard Hughes Medical Institute | |
dc.relation.journal | eLife | |
dc.eprint.version | Final published version | |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
eprint.status | http://purl.org/eprint/status/PeerReviewed | |
dc.date.updated | 2021-07-21T14:32:47Z | |
dspace.orderedauthors | Guo, MS; Kawamura, R; Littlehale, ML; Marko, JF; Laub, MT | |
dspace.date.submission | 2021-07-21T14:32:53Z | |
mit.journal.volume | 10 | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | |