Evidence map›Paper›PMID 33207694›Full record

ArticleCells2020

SRRM4 Expands the Repertoire of Circular RNAs by Regulating Microexon Inclusion.

Vanessa M Conn, Marta Gabryelska, Shashikanth Marri, Brett W Stringer, Rebecca J Ormsby, Timothy Penn, Santosh Poonnoose, Ganessan Kichenadasse, Simon J Conn

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Circular RNA in cancer.Nature reviews. Cancer · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Non-Canonical Splicing and Its Implications in Brain Physiology and Cancer.International journal of molecular sciences · 2022
    Review
  14. Article
  15. 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

9 authors at 2 institutions in 1 country.

Vanessa M ConnFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Marta GabryelskaFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.ORCID 0000-0002-4433-282X
Shashikanth MarriFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Brett W StringerFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.ORCID 0000-0003-4552-9736
Rebecca J OrmsbyFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Timothy PennFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Santosh PoonnooseFlinders Health and Medical Research Institute (FHMRI), College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Ganessan KichenadasseFlinders Health and Medical Research Institute (FHMRI), College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.
Simon J ConnFlinders Cancer Research, College of Medicine and Public Health, Flinders University, Bedford Park 5042, South Australia, Australia.ORCID 0000-0002-1376-4515
Flinders University · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput RNA sequencing (RNA-seq) and dedicated bioinformatics pipelines have synergized to identify an expansive repertoire of unique circular RNAs (circRNAs), exceeding 100,000 variants. While the vast majority of these circRNAs comprise canonical exonic and intronic sequences, microexons (MEs)-which occur in 30% of functional mRNA transcripts-have been entirely overlooked. CircRNAs which contain these known MEs (ME-circRNAs) could be identified with commonly utilized circRNA prediction pipelines, CIRCexplorer2 and CIRI2, but were not previously recognized as ME-circRNAs. In addition, when employing a bespoke bioinformatics pipeline for identifying RNA chimeras, called Hyb, we could also identify over 2000 ME-circRNAs which contain novel MEs at their backsplice junctions, that are uncalled by either CIRCexplorer2 or CIRI2. Analysis of circRNA-seq datasets from gliomas of varying clinical grades compared with matched control tissue has shown circRNAs have potential as prognostic markers for stratifying tumor from healthy tissue. Furthermore, the abundance of microexon-containing circRNAs (ME-circRNAs) between tumor and normal tissues is correlated with the expression of a splicing associated factor, Serine/arginine repetitive matrix 4 (

Indexed as

Computational BiologyAlternative SplicingExonsHEK293 CellsHumansMicroRNAsNerve Tissue ProteinsRNA, CircularRNA, MessengerMicroRNAsNerve Tissue ProteinsRNA, CircularRNA, MessengerSRRM4 protein, humanalternative splicingcircular RNAsglioblastomamicroexonssplicing factorsSRRM4

Identifiers

PMID33207694
PMCPMC7697094
OpenAlexW3098858464

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.