Evidence map›Paper›PMID 22566380›Full record

ReviewWiley interdisciplinary reviews. RNA

Potential pitfalls in microRNA profiling.

Pauline Chugh, Dirk P Dittmer

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

107 citing papers in PubMed, 189 citations in OpenAlex.

  1. Trial
  2. Article
  3. Molecular Analysis of miRNA Stability and Decay Dynamics by Northern Blot.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Synovial Fluid and Serum MicroRNA Signatures in Equine Osteoarthritis.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
    Review
  13. Article
  14. Article
  15. Liquid and Solid Hybridization Methods to Detect RNAs.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

47 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

2 authors at 1 institution in 1 country.

Pauline ChughDepartment of Microbiology, UNC-Chapel Hill, Chapel Hill, NC, USA.
Dirk P Dittmer
University of North Carolina at Chapel Hill · US

Funding

Vironomics and Biostatistics CoreP01CA019014 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BLOSSOM A DAMANIA, NANCY JOAN RAAB-TRAUB · 1985 to 2026
$43.8M
Integrated Training in Cancer Model SystemsT32CA009156 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DER, CHANNING J. · 1985 to 2020
$19.7M
NCI NIH HHS CA019014NCI NIH HHS P01 CA019014NCI NIH HHS T32 CA009156NCI NIH HHS T32-CA009156-37
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small, noncoding RNAs that post-transcriptionally influence a wide range of cellular processes such as the host response to viral infection, innate immunity, cell cycle progression, migration, and apoptosis through the inhibition of target mRNA translation. Owing to the growing number of miRNAs and identification of their functional roles, miRNA profiling of many different sample types has become more expansive, especially with relevance to disease signatures. In this review, we address some of the advantages and potential pitfalls of the currently available methods for miRNA expression profiling. Some of the topics discussed include isomiRNAs, comparison of different profiling platforms, normalization strategies, and issues with regard to sample preparation and experimental analyses.

Indexed as

AnimalsGene Expression ProfilingHumansMicroRNAsNeoplasmsRNA Processing, Post-TranscriptionalSpecimen HandlingVirus DiseasesMicroRNAs

Identifiers

PMID22566380
PMCPMC3597218
OpenAlexW2019812252

What OpenQuestion holds

Textmetadata
LicenceTDM
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.