Evidence map›Paper›PMID 32774694›Full record

ReviewAmerican journal of translational research2020

Research progress in molecular biology related quantitative methods of MicroRNA.

Kangsheng Liu, Hua Tong, Taiping Li, Xiangdong Wang, Yajun Chen

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. NiClJournal of fluorescence · 2026
    Article
  3. Review
  4. Review
  5. MicroRNA gatekeepers: Orchestrating rhizospheric dynamics.Journal of integrative plant biology · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. The role of microRNAs in glaucoma.Experimental eye research · 2022
    Review
  17. Review
  18. Review
  19. 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 at 2 institutions in 1 country.

Kangsheng LiuDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital Nanjing 210029, Jiangsu, China.
Hua TongDepartment of Obstetrics and Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital Nanjing 210029, Jiangsu, China.
Taiping LiDepartment of Neuro-Psychiatric Institute, The affiliated Brain Hospital Nanjing Medical University Nanjing 210029, Jiangsu, China.
Xiangdong WangDepartment of Laboratory Diagnosis, Nanjing Brain Hospital affiliated to Nanjing Medical University Nanjing 210029, Jiangsu, China.
Yajun ChenDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital Nanjing 210029, Jiangsu, China.
Nanjing Maternity and Child Health Care Hospital · CNNanjing Brain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small RNAs of 18-25 nucleotides in length that are widely distributed in eukaryotes and are produced by DNA transcription. As regulators of post-transcriptional gene expression, it plays an important role in the physiological processes of cells. As some miRNAs in the body are abnormally expressed at different and earlier stages of diseases, this phenomenon suggests that accurate, sensitive and specifical detection of them can be helpful for early and differential diagnosis. To expound the technological progress of miRNA detection, we reviewed all the related articles in PubMed database published before May 6, 2019, with the following keywords: "miRNA", "real-time fluorescent quantitative PCR", "electrochemical detection", "next-generation sequencing", "digital PCR technology". Original articles and reviews on the topics were selected. The present methods established for quantitative detection of miRNAs mainly relies on various probe design and labeling techniques, and the improvement of the sensitivity and specificity of detection is often through combination of microarray chips, real-time fluorescent quantitative PCR, high-throughput sequencing and other techniques. This paper combines the existing microRNA detection methods to provide a reference for researchers to choose the best detection method.

Indexed as

digital PCR technologyelectrochemical detectionmiRNAnext-generation sequencingreal-time fluorescent quantitative PCR

Identifiers

PMID32774694
PMCPMC7407681
OpenAlexW3048514441

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.