Evidence map›Paper›PMID 35114952›Full record

ArticleBMC bioinformatics2022

PΨFinder: a practical tool for the identification and visualization of novel pseudogenes in DNA sequencing data.

Sanna Abrahamsson, Frida Eiengård, Anna Rohlin, Marcela Dávila López

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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.

Sanna Abrahamsson *Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Box 115, 405 30, Gothenburg, Sweden.
Frida Eiengård *Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Anna RohlinDepartment of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Marcela Dávila LópezBioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Box 115, 405 30, Gothenburg, Sweden. marcela.davila@gu.se.ORCID http://orcid.org/0000-0002-1619-6795
University of Gothenburg · SESahlgrenska University Hospital · SE

Funding

Stiftelsen Assar Gabrielssons Fond (SE) FB19-56Stiftelsen för Strategisk Forskning (SE) RIF14-0081
6 · The paper itself

Abstract

backgroundProcessed pseudogenes (PΨgs) are disabled gene copies that are transcribed and may affect expression of paralogous genes. Moreover, their insertion in the genome can disrupt the structure or the regulatory region of a gene, affecting its expression level. These events have been identified as occurring mutations during cancer development, thus being able to identify PΨgs and their location will improve their impact on diagnostic testing, not only in cancer but also in inherited disorders.

resultsWe have implemented PΨFinder (P-psy-finder), a tool that identifies PΨgs, annotates known ones and predicts their insertion site(s) in the genome. The tool screens alignment files and provides user-friendly summary reports and visualizations. To demonstrate its applicability, we scanned 218 DNA samples from patients screened for hereditary colorectal cancer. We detected 423 PΨgs distributed in 96% of the samples, comprising 7 different parent genes. Among these, we confirmed the well-known insertion site of the SMAD4-PΨg within the last intron of the SCAI gene in one sample. While for the ubiquitous CBX3-PΨg, present in 82.6% of the samples, we found it reversed inserted in the second intron of the C15ORF57 gene.

conclusionsPΨFinder is a tool that can automatically identify novel PΨgs from DNA sequencing data and determine their location in the genome with high sensitivity (95.92%). It generates high quality figures and tables that facilitate the interpretation of the results and can guide the experimental validation. PΨFinder is a complementary analysis to any mutational screening in the identification of disease-causing mutations within cancer and other diseases.

Indexed as

PseudogenesBase SequenceChromosomal Proteins, Non-HistoneColorectal NeoplasmsDNAHumansSequence Analysis, DNASmad4 ProteinCBX3 protein, humanChromosomal Proteins, Non-HistoneDNASmad4 ProteinSMAD4 protein, humanC15ORF57CBX3Colorectal cancerDNA sequencingProcessed pseudogenesSCAISMAD4

Identifiers

PMID35114952
PMCPMC8812246
OpenAlexW4210418916

What OpenQuestion holds

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LicenceCC BY
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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.