Show simple item record

dc.contributor.authorCabili, Moran N
dc.contributor.authorDunagin, Margaret C
dc.contributor.authorMcClanahan, Patrick D
dc.contributor.authorBiaesch, Andrew
dc.contributor.authorPadovan-Merhar, Olivia
dc.contributor.authorRegev, Aviv
dc.contributor.authorRinn, John L
dc.contributor.authorRaj, Arjun
dc.date.accessioned2016-12-09T14:57:35Z
dc.date.available2016-12-09T14:57:35Z
dc.date.issued2015-01
dc.date.submitted2014-10
dc.identifier.issn1465-6906
dc.identifier.urihttp://hdl.handle.net/1721.1/105770
dc.description.abstractBackground: Long non-coding RNAs (lncRNAs) have been implicated in diverse biological processes. In contrast to extensive genomic annotation of lncRNA transcripts, far fewer have been characterized for subcellular localization and cell-to-cell variability. Addressing this requires systematic, direct visualization of lncRNAs in single cells at single-molecule resolution. Results: We use single-molecule RNA-FISH to systematically quantify and categorize the subcellular localization patterns of a representative set of 61 lncRNAs in three different cell types. Our survey yields high-resolution quantification and stringent validation of the number and spatial positions of these lncRNA, with an mRNA set for comparison. Using this highly quantitative image-based dataset, we observe a variety of subcellular localization patterns, ranging from bright sub-nuclear foci to almost exclusively cytoplasmic localization. We also find that the low abundance of lncRNAs observed from cell population measurements cannot be explained by high expression in a small subset of ‘jackpot’ cells. Additionally, nuclear lncRNA foci dissolve during mitosis and become widely dispersed, suggesting these lncRNAs are not mitotic bookmarking factors. Moreover, we see that divergently transcribed lncRNAs do not always correlate with their cognate mRNA, nor do they have a characteristic localization pattern. Conclusions: Our systematic, high-resolution survey of lncRNA localization reveals aspects of lncRNAs that are similar to mRNAs, such as cell-to-cell variability, but also several distinct properties. These characteristics may correspond to particular functional roles. Our study also provides a quantitative description of lncRNAs at the single-cell level and a universally applicable framework for future study and validation of lncRNAs.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Pioneer Awarden_US
dc.description.sponsorshipKlarman Cell Observatoryen_US
dc.description.sponsorshipCenter for Cell Circuits (P50 HG006193-01)en_US
dc.description.sponsorshipHoward Hughes Medical Instituteen_US
dc.language.isoen_US
dc.publisherBiomed Central Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s13059-015-0586-4en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBMCen_US
dc.titleLocalization and abundance analysis of human lncRNAs at single-cell and single-molecule resolutionen_US
dc.typeArticleen_US
dc.identifier.citationCabili, Moran N et al. “Localization and Abundance Analysis of Human lncRNAs at Single-Cell and Single-Molecule Resolution.” Genome Biology 16.1 (2015): 20.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorRegev, Aviv
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsCabili, Moran N; Dunagin, Margaret C; McClanahan, Patrick D; Biaesch, Andrew; Padovan-Merhar, Olivia; Regev, Aviv; Rinn, John L; Raj, Arjunen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8567-2049
mit.licensePUBLISHER_CCen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record