Evidence map›Paper›PMID 37430054›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Single-Cell Analysis of circRNA Using ddPCR.

Jiayi Peng, Feng Li, Xiangdong Xu, Shen Hu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

4 authors at 2 institutions in 1 country.

Jiayi PengDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA, USA.
Feng LiDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA, USA.
Xiangdong XuDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA, USA.
Shen HuDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA, USA. shenhu@ucla.edu.
University of California, Los Angeles · USCalifornia NanoSystems Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet digital polymerase chain reaction (ddPCR) is a new quantitative PCR method based on water-oil emulsion droplet technology. ddPCR enables highly sensitive and accurate quantification of nucleic acid molecules, especially when their copy numbers are low. In ddPCR, a sample is fractionated into ~20,000 droplets, and every nanoliter-sized droplet undergoes PCR amplification of the target molecule. The fluorescence signals of droplets are then recorded by an automated droplet reader. Circular RNAs (circRNAs) are single-stranded, covalently closed RNA molecules that are ubiquitously expressed in animals and plants. CircRNAs are promising as biomarkers for cancer diagnosis and prognosis and as therapeutic targets or agents to inhibit oncogenic microRNAs or proteins (Kristensen LS, Jakobsen T, Hager H, Kjems J, Nat Rev Clin Oncol 19:188-206, 2022). In this chapter, the procedures for the quantitation of a circRNA in single pancreatic cancer cells using ddPCR are described.

Indexed as

Biomarkers, TumorPolymerase Chain ReactionRNA, CircularSingle-Cell AnalysisCell Line, TumorHumansPancreatic NeoplasmsBiomarkers, TumorRNA, CircularcircRNADroplet digital PCRPancreatic cancer cellsSingle-cell analysis

Identifiers

PMID37430054
OpenAlexW4383814538

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.