Evidence map›Paper›PMID 31791999›Full record

ReviewCold Spring Harbor perspectives in biology2019

Approaches for Understanding the Mechanisms of Long Noncoding RNA Regulation of Gene Expression.

Patrick McDonel, Mitchell Guttman

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Review
  2. Article
  3. Direct roles of long non-coding RNAs in transcription activation.Nature structural & molecular biology · 2026
    Review
  4. Article
  5. Review
  6. LncRNA SNHG3: a potential biomarker for human diseases.Frontiers in cell and developmental biology · 2026
    Review
  7. Xist in X chromosome inactivation: mechanisms and disease relevance.Cell communication and signaling : CCS · 2025
    Review
  8. Article
  9. LncRNAs Orchestrating Neuroinflammation: A Comprehensive Review.Cellular and molecular neurobiology · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors.

Patrick McDonelProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts 01655.
Mitchell GuttmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian genomes encode tens of thousands of long noncoding RNAs (lncRNAs) that have been implicated in a diverse array of biological processes and human diseases. In recent years, the development of new tools for studying lncRNAs has enabled important progress in defining the mechanisms by which Xist and other lncRNAs function. This collective work provides a framework for how to define the mechanisms by which lncRNAs act. This includes defining lncRNA function, identifying and characterizing lncRNA-protein interactions, and lncRNA localization in the cell. In this review, we discuss various experimental approaches for deciphering lncRNA mechanisms and discuss issues and limitations in interpreting these results. We explore what these data can reveal about lncRNA function and mechanism as well as emerging insights into lncRNA biology that have been derived from these studies.

Indexed as

Gene Expression RegulationHumansProtein BindingRNA-Binding ProteinsRNA, Long NoncodingRNA-Binding ProteinsRNA, Long Noncoding

Identifiers

PMID31791999
PMCPMC6886450

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.