Evidence map›Paper›PMID 37741817›Full record

ArticleNature communications2023

TAGET: a toolkit for analyzing full-length transcripts from long-read sequencing.

Yuchao Xia, Zijie Jin, Chengsheng Zhang, Linkun Ouyang, Yuhao Dong, Juan Li, Lvze Guo, Biyang Jing, Yang Shi, Susheng Miao and 1 more

Abstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

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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.

Yuchao Xia *College of Science, Beijing Information Science and Technology University, 100192, Beijing, China.
Zijie Jin *Peking University International Cancer Institute, Health Science Center, Peking University, 100191, Beijing, China.ORCID http://orcid.org/0000-0002-0042-3295
Chengsheng Zhang *Beijing GeneX Health Co.,Ltd, 100195, Beijing, China.
Linkun Ouyang *Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0009-0003-5360-3243
Yuhao DongBeijing GeneX Health Co.,Ltd, 100195, Beijing, China.
Juan LiDepartment of Biomedical Engineering, College of Future Technology, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0000-0002-0521-9648
Lvze GuoBeijing GeneX Health Co.,Ltd, 100195, Beijing, China.
Biyang JingBeijing GeneX Health Co.,Ltd, 100195, Beijing, China.
Yang ShiBeiGene (Beijing) Co., Ltd., Beijing, China.ORCID http://orcid.org/0000-0002-6713-9678
Susheng MiaoDepartment of Head and Neck Surgery, Harbin Medical University Cancer Hospital, 150081, Harbin, China. drmiaosusheng@126.com.ORCID http://orcid.org/0000-0002-7701-9362
Ruibin XiSchool of Mathematical Sciences, Peking University, 100871, Beijing, China. ruibinxi@math.pku.edu.cn.ORCID http://orcid.org/0000-0001-7545-7361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule Real-time Isoform Sequencing (Iso-seq) of transcriptomes by PacBio can generate very long and accurate reads, thus providing an ideal platform for full-length transcriptome analysis. We present an integrated computational toolkit named TAGET for Iso-seq full-length transcript data analyses, including transcript alignment, annotation, gene fusion detection, and quantification analyses such as differential expression gene analysis and differential isoform usage analysis. We evaluate the performance of TAGET using a public Iso-seq dataset and newly sequenced Iso-seq datasets from tumor patients. TAGET gives significantly more precise novel splice site prediction and enables more accurate novel isoform and gene fusion discoveries, as validated by experimental validations and comparisons with RNA-seq data. We identify and experimentally validate a differential isoform usage gene ECM1, and further show that its isoform ECM1b may be a tumor-suppressor in laryngocarcinoma. Our results demonstrate that TAGET provides a valuable computational toolkit and can be applied to many full-length transcriptome studies.

Indexed as

Data AnalysisGene Expression ProfilingExtracellular Matrix ProteinsGene FusionHumansRNA-SeqTranscriptomeECM1 protein, humanExtracellular Matrix Proteins

Identifiers

PMID37741817
PMCPMC10518008

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Registered trials

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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.