Evidence map›Paper›PMID 31900416›Full record

ArticleNature communications2020

Accurate quantification of circular RNAs identifies extensive circular isoform switching events.

Jinyang Zhang, Shuai Chen, Jingwen Yang, Fangqing Zhao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06476067 (Predicting Postoperative Early Tumor Recurrence in Patients With Esophageal Squamous Cell Carcinoma), which is not on this map. Cited by 181 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 1 pooled it
13.5field-weighted citation impact, top 1% 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.

NCT06476067 recruitingnot on this map

Predicting Postoperative Early Tumor Recurrence in Patients With Esophageal Squamous Cell Carcinoma

TypeobservationalSponsorCity of Hope Medical CenterRan2006 to 2028Enrolled150ConditionsEsophageal Cancer, Recurrence, DNA MethylationArmsSurgery
3 · Its place in the literature

Who cites it

181 citing papers in PubMed, 1 synthesis or guideline pooled it, 264 citations in OpenAlex.

  1. Pooled it
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  16. HnRNP C binding to invertedScience advances · 2026
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121 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

4 authors at 2 institutions in 1 country.

Jinyang ZhangComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, 100101, Beijing, China.ORCID http://orcid.org/0000-0002-5163-894X
Shuai ChenComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, 100101, Beijing, China.
Jingwen YangComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, 100101, Beijing, China.
Fangqing ZhaoComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, 100101, Beijing, China. zhfq@biols.ac.cn.
Chinese Academy of Sciences · CNKunming Institute of Zoology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection and quantification of circular RNAs (circRNAs) face several significant challenges, including high false discovery rate, uneven rRNA depletion and RNase R treatment efficiency, and underestimation of back-spliced junction reads. Here, we propose a novel algorithm, CIRIquant, for accurate circRNA quantification and differential expression analysis. By constructing pseudo-circular reference for re-alignment of RNA-seq reads and employing sophisticated statistical models to correct RNase R treatment biases, CIRIquant can provide more accurate expression values for circRNAs with significantly reduced false discovery rate. We further develop a one-stop differential expression analysis pipeline implementing two independent measures, which helps unveil the regulation of competitive splicing between circRNAs and their linear counterparts. We apply CIRIquant to RNA-seq datasets of hepatocellular carcinoma, and characterize two important groups of linear-circular switching and circular transcript usage switching events, which demonstrate the promising ability to explore extensive transcriptomic changes in liver tumorigenesis.

Indexed as

AlgorithmsCarcinoma, HepatocellularHumansLiver NeoplasmsRNA, CircularRNA, RibosomalRNA SplicingSequence Analysis, RNATranscriptomeRNA, CircularRNA, Ribosomal

Identifiers

PMID31900416
PMCPMC6941955
OpenAlexW2996796392

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.