Evidence map›Paper›PMID 27229269›Full record

ReviewRNA biology2017

Long non-coding RNA: Functional agent for disease traits.

Sriyans Jain, Nirav Thakkar, Jagamohan Chhatai, Manika Pal Bhadra, Utpal Bhadra

Abstract readReview
In one paragraph

Review in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. METTL3-mediated mJournal of translational medicine · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  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

5 authors.

Sriyans Jaina Functional Genomics and Gene Silencing Group , CSIR- Center for Cellular and Molecular Biology , Hyderabad , India.
Nirav Thakkara Functional Genomics and Gene Silencing Group , CSIR- Center for Cellular and Molecular Biology , Hyderabad , India.
Jagamohan Chhataia Functional Genomics and Gene Silencing Group , CSIR- Center for Cellular and Molecular Biology , Hyderabad , India.
Manika Pal Bhadrab Centre for Chemical Biology , Indian Institute for Chemical Technology , Hyderabad , India.
Utpal Bhadraa Functional Genomics and Gene Silencing Group , CSIR- Center for Cellular and Molecular Biology , Hyderabad , India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, long non-coding RNAs (lncRNAs) have attracted the attention of researchers with their involvement in all facets of life. LncRNAs are transcripts of more than 200 nucleotides which lack defined protein coding potential. Although they do not code for proteins, a large number of them are involved in regulating gene expression and translation. The presence of numerous lncRNAs in the human genome has prompted us to investigate the contribution of these molecules to human biology and medicine. In this review, we present the potential role of lncRNAs interlinked to different human diseases and genetic disorders. We also describe their role in cellular differentiation and aging and discuss their potential importance as biomarkers and as therapeutic agents.

Indexed as

Gene Expression RegulationAgingAnimalsApoptosisAutoimmune DiseasesBiomarkersCardiovascular DiseasesCell DifferentiationEndocrine GlandsHumansImmunityMiceNeoplasmsNervous System DiseasesRatsRNA, Long NoncodingBiomarkersRNA, Long NoncodingBiomarkersepigeneticsgene regulationhuman diseaseslong non-coding RNAtherapeutic agents

Identifiers

PMID27229269
PMCPMC5449085

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.