Evidence map›Paper›PMID 33907296›Full record

ArticleCommunications biology2021

Targeted transcriptome analysis using synthetic long read sequencing uncovers isoform reprograming in the progression of colon cancer.

Silvia Liu, Indira Wu, Yan-Ping Yu, Michael Balamotis, Baoguo Ren, Tuval Ben Yehezkel, Jian-Hua Luo

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Anchorage accurately assembles anchor-flanked synthetic long reads.Algorithms for molecular biology : AMB · 2025
    Article
  4. Review
  5. Article
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  8. Utility Analyses of AVITI Sequencing Chemistry.bioRxiv : the preprint server for biology · 2024
    Article
  9. Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024
    Article
  10. Article
  11. Anchorage Accurately Assembles Anchor-Flanked Synthetic Long Reads.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2024
    Article
  12. Review
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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

7 authors at 3 institutions in 1 country.

Silvia Liu *Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.
Indira Wu *Loop Genomics, Inc., San Jose, CA, 95138, USA.
Yan-Ping YuDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.ORCID http://orcid.org/0000-0002-4140-4074
Michael BalamotisLoop Genomics, Inc., San Jose, CA, 95138, USA.
Baoguo RenDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.
Tuval Ben YehezkelLoop Genomics, Inc., San Jose, CA, 95138, USA. tuval@loopgenomics.com.
Jian-Hua LuoDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA. luoj@upmc.edu.ORCID http://orcid.org/0000-0002-3189-4225
University of Pittsburgh · USID Genomics (United States) · USTranslational Genomics Research Institute · US

Funding

Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Gavin E Arteel · 2019 to 2026
$10.9M
Genome targeting of liver cancerR56CA229262 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LUO, JIANHUA · 2018 to 2019
$705k
NCI NIH HHS R56 CA229262NIDDK NIH HHS P30 DK120531
6 · The paper itself

Abstract

The characterization of human gene expression is limited by short read lengths, high error rates and large input requirements. Here, we used a synthetic long read (SLR) sequencing approach, LoopSeq, to generate accurate sequencing reads that span full length transcripts using standard short read data. LoopSeq identified isoforms from control samples with 99.4% accuracy and a 0.01% per-base error rate, exceeding the accuracy reported for other long-read technologies. Applied to targeted transcriptome sequencing from colon cancers and their metastatic counterparts, LoopSeq revealed large scale isoform redistributions from benign colon mucosa to primary colon cancer and metastatic cancer and identified several previously unknown fusion isoforms. Strikingly, single nucleotide variants (SNVs) occurred dominantly in specific isoforms and some SNVs underwent isoform switching in cancer progression. The ability to use short reads to generate accurate long-read data as the raw unit of information holds promise as a widely accessible approach in transcriptome sequencing.

Indexed as

Alternative SplicingTranscriptomeColonic NeoplasmsHigh-Throughput Nucleotide SequencingHumansProtein IsoformsSequence Analysis, RNAProtein Isoforms

Identifiers

PMID33907296
PMCPMC8079361
OpenAlexW3157850141

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.