Evidence map›Paper›PMID 25630241›Full record

ArticleGenome biology2015

Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

Moran N Cabili, Margaret C Dunagin, Patrick D McClanahan, Andrew Biaesch, Olivia Padovan-Merhar, Aviv Regev, John L Rinn, Arjun Raj

Abstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 410 papers.

0numbers the graph read from it
0cells of the map it votes in
410citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

410 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Intron Retention Controls Localization of lncRNAsbioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Review
  13. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
    Review
  14. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article
  15. Knocking Down Long Noncoding RNAs Using Antisense Oligonucleotide Gapmers.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  16. LncRNA Knockdown Using Gapmer Antisense Oligonucleotides.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  17. Article
  18. Review
  19. Non-coding RNA · 2025
    Review
  20. Article

350 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Moran N CabiliBroad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA, 02142, USA. nmcabili@broadinstitute.org.
Margaret C DunaginSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. dunagin@seas.upenn.edu.
Patrick D McClanahanSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. pmccl@seas.upenn.edu.
Andrew BiaeschSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. biaescha@gmail.com.
Olivia Padovan-MerharSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. opadovan@sas.upenn.edu.
Aviv RegevBroad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA, 02142, USA. aregev@broadinstitute.org.
John L RinnBroad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA, 02142, USA. john_rinn@harvard.edu.
Arjun RajSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. arjunraj@seas.upenn.edu.

Funding

Regulatory Roles and Dynamics of Nuclear long-noncoding RNAs in PluripotencyP01GM099117 · NIGMS · HARVARD UNIVERSITY · PI MEISSNER, ALEXANDER · 2011 to 2021
$21.2M
Center for Cell CircuitsP50HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI REGEV, AVIV · 2011 to 2015
$15.6M
The temporal reconfiguration of regulatory networks: From yeast to cancerDP1OD003958 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI REGEV, AVIV · 2008 to 2011
$3.3M
RNA and Chromatin Formation: From Discovery to MechanismDP2OD006670 · OD · HARVARD UNIVERSITY · PI RINN, JOHN LOUIS · 2009 to 2009
$2.5M
A Comprehensive Spatial Picture of Transcription in the NucleusDP2OD008514 · OD · UNIVERSITY OF PENNSYLVANIA · PI RAJ, ARJUN · 2011 to 2011
$2.4M
Howard Hughes Medical InstituteNHGRI NIH HHS P50 HG006193NHGRI NIH HHS P50 HG006193-01NIGMS NIH HHS P01 GM099117NIH HHS DP1 OD003958NIH HHS DP2 OD006670NIH HHS DP2 OD008514
6 · The paper itself

Abstract

backgroundLong 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

In Situ Hybridization, FluorescenceSingle-Cell AnalysisAnimalsCell NucleusGene Expression RegulationHeLa CellsHumansMaleMiceMitosisRNA, Long NoncodingRNA, MessengerRNA TransportTranscription, GeneticRNA, Long NoncodingRNA, Messenger

Identifiers

PMID25630241
PMCPMC4369099

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.