Evidence map›Paper›PMID 23656494›Full record

ArticleNucleic acid therapeutics2013

Digital quantitation of potential therapeutic target RNAs.

David W Dodd, Keith T Gagnon, David R Corey

Open access · greenAbstract read
In one paragraph

Article in Nucleic acid therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Development of anMolecular therapy. Methods & clinical development · 2023
    Article
  7. Article
  8. Review
  9. The integrated comprehension of lncRNA HOXA-AS3 implication on human diseases.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  10. Review
  11. Review
  12. MicroRNA 195-5p TargetsInternational journal of molecular sciences · 2021
    Article
  13. Quantitation of Long Noncoding RNA Using Digital PCR.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  14. Article
  15. Review
  16. Review
  17. Digital PCR in Myeloid Malignancies: Ready to Replace Quantitative PCR?International journal of molecular sciences · 2019
    Review
  18. Article
  19. Article
  20. Article
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

3 authors at 1 institution in 1 country.

David W DoddDepartment of Pharmacology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas 75390, USA.
Keith T Gagnon
David R Corey
The University of Texas Southwestern Medical Center · US

Funding

Recognition of Chromosomal DNA by Peptide Nucleic AcidsR01GM073042 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI COREY, DAVID R · 2005 to 2016
$3.5M
NIGMS NIH HHS R01 GM073042PHS HHS NIGMS 73042
6 · The paper itself

Abstract

Accurate determination of the amount of a given RNA within a cell is necessary to gain a full understanding of the RNA's function and regulation. Typically, the abundance of RNA is measured by quantitative polymerase chain reaction (qPCR). With qPCR, however, absolute quantification is not possible unless an adequate reference standard curve is generated. The method is not well suited for detecting low copy number templates and values vary depending on the specific primers used. To overcome these drawbacks, digital PCR (dPCR) has been developed to obtain exact values for RNA copies in a sample. Here we report the characterization of droplet digital PCR (ddPCR). We used ddPCR to quantify long noncoding RNAs from various subcellular compartments within human cells and found that results obtained using ddPCR parallel those from qPCR. Mutant huntingtin (HTT) protein is the cause of Huntington's Disease, and we show that we can quantify human HTT messenger RNA and discriminate between the mutant and wild-type HTT alleles using ddPCR. These results reveal insights into the design of experiments using ddPCR and show that ddPCR can be a robust tool for identifying the number of RNA species inside of cells.

Indexed as

Cell LineHumansHuntingtin ProteinHuntington DiseaseMutationNerve Tissue ProteinsPolymerase Chain ReactionRNA, MessengerRNA, UntranslatedHTT protein, humanHuntingtin ProteinNerve Tissue ProteinsRNA, MessengerRNA, Untranslated

Identifiers

PMID23656494
PMCPMC3660070
OpenAlexW2235287361

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.