Evidence map›Paper›PMID 37553321›Full record

ArticleNature communications2023

TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing.

Feng Wang, Yang Xu, Robert Wang, Beatrice Zhang, Noah Smith, Amber Notaro, Samantha Gaerlan, Eric Kutschera, Kathryn E Kadash-Edmondson, Yi Xing and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 30 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Feng Wang *Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Yang Xu *Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Robert Wang *Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Beatrice ZhangCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-1636-600X
Noah SmithCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Amber NotaroCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Samantha GaerlanCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Eric KutscheraCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-2160-1820
Kathryn E Kadash-EdmondsonCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Yi XingCenter for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. xingyi@chop.edu.ORCID http://orcid.org/0000-0001-9257-7613
Lan LinDepartment of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. linlan@chop.edu.ORCID http://orcid.org/0000-0002-9905-8928
Children's Hospital of Philadelphia · US

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Targeting alternative splicing for TCR discovery in small cell carcinomasU01CA233074 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CROOKS, GAY M, WITTE, OWEN N. · 2018 to 2022
$4.1M
VARIATION AND REGULATION OF ALTERNATIVE SPLICING IN HUMAN TRANSCRIPTOMESR01GM088342 · NIGMS · UNIVERSITY OF IOWA · PI XING, YI · 2010 to 2020
$2.9M
Identification and cloning of neoantigen-specific T cells for GBM immunotherapyR01CA222695 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PRINS, ROBERT M, XING, YI · 2019 to 2023
$2.0M
Regulation and Function of RNA Editing in Human TranscriptomesR01GM121827 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIN, LAN · 2017 to 2021
$1.9M
Computational tools and resources to study alternative splicing and mRNA isoform variationR56HG012310 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI XING, YI · 2022 to 2022
$569k
NCI NIH HHS R01 CA222695NCI NIH HHS U01 CA233074NHGRI NIH HHS R56 HG012310NHGRI NIH HHS T32 HG000046NIGMS NIH HHS R01 GM088342NIGMS NIH HHS R01 GM121827
6 · The paper itself

Abstract

Long-read RNA sequencing (RNA-seq) is a powerful technology for transcriptome analysis, but the relatively low throughput of current long-read sequencing platforms limits transcript coverage. One strategy for overcoming this bottleneck is targeted long-read RNA-seq for preselected gene panels. We present TEQUILA-seq, a versatile, easy-to-implement, and low-cost method for targeted long-read RNA-seq utilizing isothermally linear-amplified capture probes. When performed on the Oxford nanopore platform with multiple gene panels of varying sizes, TEQUILA-seq consistently and substantially enriches transcript coverage while preserving transcript quantification. We profile full-length transcript isoforms of 468 actionable cancer genes across 40 representative breast cancer cell lines. We identify transcript isoforms enriched in specific subtypes and discover novel transcript isoforms in extensively studied cancer genes such as TP53. Among cancer genes, tumor suppressor genes (TSGs) are significantly enriched for aberrant transcript isoforms targeted for degradation via mRNA nonsense-mediated decay, revealing a common RNA-associated mechanism for TSG inactivation. TEQUILA-seq reduces the per-reaction cost of targeted capture by 2-3 orders of magnitude, as compared to a standard commercial solution. TEQUILA-seq can be broadly used for targeted sequencing of full-length transcripts in diverse biomedical research settings.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingProtein IsoformsRNASequence Analysis, RNATranscriptomeProtein IsoformsRNA

Identifiers

PMID37553321
PMCPMC10409798
OpenAlexW4385664314

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.