Evidence map›Paper›PMID 31378668›Full record

ArticleStem cell reports2019

Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells.

Daisuke Yoshinaga, Shiro Baba, Takeru Makiyama, Hirofumi Shibata, Takuya Hirata, Kentaro Akagi, Koichi Matsuda, Hirohiko Kohjitani, Yimin Wuriyanghai, Katsutsugu Umeda and 5 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.3field-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

23 citing papers in PubMed, 40 citations in OpenAlex.

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  13. How Functional Genomics Can Keep Pace With VUS Identification.Frontiers in cardiovascular medicine · 2022
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  18. Tissue engineering. Part C, Methods · 2021
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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

15 authors at 3 institutions in 2 countries.

Daisuke YoshinagaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Shiro BabaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: shibaba@kuhp.kyoto-u.ac.jp.
Takeru MakiyamaDepartment of Cardiovascular Disease, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hirofumi ShibataDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Takuya HirataDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Kentaro AkagiDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Koichi MatsudaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Hirohiko KohjitaniDepartment of Cardiovascular Disease, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yimin WuriyanghaiDepartment of Cardiovascular Disease, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Katsutsugu UmedaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Yuta YamamotoDepartment of Cardiovascular Disease, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Bruce R ConklinGladstone Institute of Cardiovascular Disease, University of California San Francisco, San Francisco, USA; Departments of Medicine and Pharmacology, University of California San Francisco, San Francisco, USA.
Minoru HorieDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Otsu, Japan.
Junko TakitaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Toshio HeikeDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
Kyoto University · JPShiga University of Medical Science · JPUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For long QT syndrome (LQTS), recent progress in genome-sequencing technologies enabled the identification of rare genomic variants with diagnostic, prognostic, and therapeutic implications. However, pathogenic stratification of the identified variants remains challenging, especially in variants of uncertain significance. This study aimed to propose a phenotypic cell-based diagnostic assay for identifying LQTS to recognize pathogenic variants in a high-throughput manner suitable for screening. We investigated the response of LQT2-induced pluripotent stem cell (iPSC)-derived cardiomyocytes (iPSC-CMs) following I

Indexed as

Action PotentialsAdolescentAdultCase-Control StudiesCell DifferentiationChildFemaleHigh-Throughput Screening AssaysHumansInduced Pluripotent Stem CellsLong QT SyndromeMaleMiddle AgedMyocytes, CardiacPatch-Clamp TechniquesPhenotypePotassium Channel BlockersSodium Channel BlockersTetrodotoxingenome editinginduced pluripotent stem celllong QT syndromemulti-electrode arrayphenotype-based diagnosis

Identifiers

PMID31378668
PMCPMC6700479
OpenAlexW2964944932

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.