Evidence map›Paper›PMID 38956576›Full record

ArticleGenome biology2024

Detecting haplotype-specific transcript variation in long reads with FLAIR2.

Alison D Tang, Colette Felton, Eva Hrabeta-Robinson, Roger Volden, Christopher Vollmers, Angela N Brooks

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

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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

25 citing papers in PubMed.

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  16. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alison D TangDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.
Colette FeltonDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.
Eva Hrabeta-RobinsonDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.
Roger VoldenDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.
Christopher VollmersDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.
Angela N BrooksDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA. anbrooks@ucsc.edu.ORCID 0000-0002-7898-3073

Funding

Novel approaches to improve comprehensive profiling of the epigenome and epitranscriptomeR35GM138122 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Angela Norie Brooks · 2020 to 2026
$2.8M
Platform for transcriptome-wide RNA modification identification in long readsF31HG010999 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI TANG, ALISON · 2020 to 2022
$82k
NHGRI NIH HHS F31 HG010999NHGRI NIH HHS F31HG010999NIGMS NIH HHS R35 GM138122NIGMS NIH HHS R35GM138122
6 · The paper itself

Abstract

backgroundRNA-seq has brought forth significant discoveries regarding aberrations in RNA processing, implicating these RNA variants in a variety of diseases. Aberrant splicing and single nucleotide variants (SNVs) in RNA have been demonstrated to alter transcript stability, localization, and function. In particular, the upregulation of ADAR, an enzyme that mediates adenosine-to-inosine editing, has been previously linked to an increase in the invasiveness of lung adenocarcinoma cells and associated with splicing regulation. Despite the functional importance of studying splicing and SNVs, the use of short-read RNA-seq has limited the community's ability to interrogate both forms of RNA variation simultaneously.

resultsWe employ long-read sequencing technology to obtain full-length transcript sequences, elucidating cis-effects of variants on splicing changes at a single molecule level. We develop a computational workflow that augments FLAIR, a tool that calls isoform models expressed in long-read data, to integrate RNA variant calls with the associated isoforms that bear them. We generate nanopore data with high sequence accuracy from H1975 lung adenocarcinoma cells with and without knockdown of ADAR. We apply our workflow to identify key inosine isoform associations to help clarify the prominence of ADAR in tumorigenesis.

conclusionsUltimately, we find that a long-read approach provides valuable insight toward characterizing the relationship between RNA variants and splicing patterns.

Indexed as

HaplotypesAdenocarcinoma of LungAdenosine DeaminaseCell Line, TumorHumansInosineLung NeoplasmsPolymorphism, Single NucleotideRNA-Binding ProteinsRNA EditingRNA SplicingSequence Analysis, RNASoftwareADAR protein, humanAdenosine DeaminaseInosineRNA-Binding ProteinsADARA-to-I editingFLAIRLong-read RNA-seq

Identifiers

PMID38956576
PMCPMC11218413

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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.