Evidence map›Paper›PMID 26040699›Full record

ArticleNucleic acids research2015

Characterization of fusion genes and the significantly expressed fusion isoforms in breast cancer by hybrid sequencing.

Jason L Weirather, Pegah Tootoonchi Afshar, Tyson A Clark, Elizabeth Tseng, Linda S Powers, Jason G Underwood, Joseph Zabner, Jonas Korlach, Wing Hung Wong, Kin Fai Au

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

68 citing papers in PubMed, 126 citations in OpenAlex.

  1. Article
  2. Article
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  4. Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Sample and Library Preparation for PacBio Long-Read Sequencing in Grapevine.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
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  19. Article
  20. Review

8 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Jason L WeiratherDepartment of Internal Medicine, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA.
Pegah Tootoonchi AfsharDepartment of Electrical Engineering, School of Engineering, Stanford University, Stanford, CA 94305, USA.
Tyson A ClarkPacific Biosciences, 1380 Willow Road, Menlo Park, CA 94025, USA.
Elizabeth TsengPacific Biosciences, 1380 Willow Road, Menlo Park, CA 94025, USA.
Linda S PowersDepartment of Internal Medicine, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA.
Jason G UnderwoodDepartment of Genome Sciences, University of Washington, 3720 15th Ave NE, Seattle WA 98195-5065, USA.
Joseph ZabnerDepartment of Internal Medicine, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA.
Jonas KorlachPacific Biosciences, 1380 Willow Road, Menlo Park, CA 94025, USA.
Wing Hung WongDepartment of Statistics and Department of Health Research & Policy, 390 Serra Mall, Stanford University, Stanford, CA 94305, USA.
Kin Fai AuDepartment of Internal Medicine, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA kinfai-au@uiowa.edu.
Pacific Biosciences (United States) · USUniversity of Iowa · USStanford University · US

Funding

Multivariate statistical methods, flow cytometry, and network modeling.R01GM109836 · NIGMS · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2017
$1.2M
Statistical and computational analysis in whole genome sequencing studies.R01HG007834 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2016
$892k
NHGRI NIH HHS R01 HG007834NHGRI NIH HHS R01HG007834NIGMS NIH HHS R01 GM109836NIGMS NIH HHS R01GM109836
6 · The paper itself

Abstract

We developed an innovative hybrid sequencing approach, IDP-fusion, to detect fusion genes, determine fusion sites and identify and quantify fusion isoforms. IDP-fusion is the first method to study gene fusion events by integrating Third Generation Sequencing long reads and Second Generation Sequencing short reads. We applied IDP-fusion to PacBio data and Illumina data from the MCF-7 breast cancer cells. Compared with the existing tools, IDP-fusion detects fusion genes at higher precision and a very low false positive rate. The results show that IDP-fusion will be useful for unraveling the complexity of multiple fusion splices and fusion isoforms within tumorigenesis-relevant fusion genes.

Indexed as

Gene Expression ProfilingGene FusionBreast NeoplasmsCarcinogenesisFemaleHigh-Throughput Nucleotide SequencingHumansMCF-7 CellsProtein IsoformsSequence AlignmentProtein Isoforms

Identifiers

PMID26040699
PMCPMC4605286
OpenAlexW1944880632

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.