Evidence map›Paper›PMID 32456667›Full record

ArticleBMC bioinformatics2020

ARTDeco: automatic readthrough transcription detection.

Samuel J Roth, Sven Heinz, Christopher Benner

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

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  20. Inducible disruption ofProceedings of the National Academy of Sciences of the United States of America · 2023
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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

3 authors at 1 institution in 1 country.

Samuel J RothBioinformatics and Systems Biology Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0640, USA.
Sven HeinzDepartment of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0640, USA.
Christopher BennerDepartment of Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0640, USA. cbenner@ucsd.edu.ORCID http://orcid.org/0000-0002-4618-0719
University of California San Diego · US

Funding

SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
Uncovering how transcription and chromatin 3D structure impact one another during cellular activationR01GM134366 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENNER, CHRISTOPHER W · 2019 to 2023
$1.7M
How transcription disrupts genome 3D organizationR01GM129523 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEINZ, SVEN W · 2020 to 2023
$1.3M
NIAID NIH HHS U19 AI135972NIGMS NIH HHS R01 GM129523NIGMS NIH HHS R01 GM134366
6 · The paper itself

Abstract

backgroundMounting evidence suggests several diseases and biological processes target transcription termination to misregulate gene expression. Disruption of transcription termination leads to readthrough transcription past the 3' end of genes, which can result in novel transcripts, changes in epigenetic states and altered 3D genome structure.

resultsWe developed Automatic Readthrough Transcription Detection (ARTDeco), a tool to detect and analyze multiple features of readthrough transcription from RNA-seq and other next-generation sequencing (NGS) assays that profile transcriptional activity. ARTDeco robustly quantifies the global severity of readthrough phenotypes, and reliably identifies individual genes that fail to terminate (readthrough genes), are aberrantly transcribed due to upstream termination failure (read-in genes), and novel transcripts created as a result of readthrough (downstream of gene or DoG transcripts). We used ARTDeco to characterize readthrough transcription observed during influenza A virus (IAV) infection, validating its specificity and sensitivity by comparing its performance in samples infected with a mutant virus that fails to block transcription termination. We verify ARTDeco's ability to detect readthrough as well as identify read-in genes from different experimental assays across multiple experimental systems with known defects in transcriptional termination, and show how these results can be leveraged to improve the interpretation of gene expression and downstream analysis. Applying ARTDeco to a gene expression data set from IAV-infected monocytes from different donors, we find strong evidence that read-in gene-associated expression quantitative trait loci (eQTLs) likely regulate genes upstream of read-in genes. This indicates that taking readthrough transcription into account is important for the interpretation of eQTLs in systems where transcription termination is blocked.

conclusionsARTDeco aids researchers investigating readthrough transcription in a variety of systems and contexts.

Indexed as

SoftwareTranscription, GeneticGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansInfluenza A virusMonocytesQuantitative Trait LociRNA-SeqTranscription Termination, GeneticGene expressionNext-generation sequencing analysisReadthrough transcriptionTranscription terminationTranscriptomics

Identifiers

PMID32456667
PMCPMC7249449
OpenAlexW3031632472

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.