Evidence map›Paper›PMID 23383290›Full record

ArticlePloS one2013

Impaired neural differentiation of induced pluripotent stem cells generated from a mouse model of Sandhoff disease.

Yasuhiro Ogawa, Makoto Tanaka, Miho Tanabe, Toshihiro Suzuki, Tadayasu Togawa, Tomoko Fukushige, Takuro Kanekura, Hitoshi Sakuraba, Kazuhiko Oishi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 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

9 authors at 2 institutions in 1 country.

Yasuhiro OgawaDepartment of Pharmacology, Meiji Pharmaceutical University, Tokyo, Japan.
Makoto Tanaka
Miho Tanabe
Toshihiro Suzuki
Tadayasu Togawa
Tomoko Fukushige
Takuro Kanekura
Hitoshi Sakuraba
Kazuhiko Oishi
Meiji Pharmaceutical University · JPKagoshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sandhoff disease (SD) is a glycosphingolipid storage disease that arises from mutations in the Hexb gene and the resultant deficiency in β-hexosaminidase activity. This deficiency results in aberrant lysosomal accumulation of the ganglioside GM2 and related glycolipids, and progressive deterioration of the central nervous system. Dysfunctional glycolipid storage causes severe neurodegeneration through a poorly understood pathogenic mechanism. Induced pluripotent stem cell (iPSC) technology offers new opportunities for both elucidation of the pathogenesis of diseases and the development of stem cell-based therapies. Here, we report the generation of disease-specific iPSCs from a mouse model of SD. These mouse model-derived iPSCs (SD-iPSCs) exhibited pluripotent stem cell properties and significant accumulation of GM2 ganglioside. In lineage-directed differentiation studies using the stromal cell-derived inducing activity method, SD-iPSCs showed an impaired ability to differentiate into early stage neural precursors. Moreover, fewer neurons differentiated from neural precursors in SD-iPSCs than in the case of the wild type. Recovery of the Hexb gene in SD-iPSCs improved this impairment of neuronal differentiation. These results provide new insights as to understanding the complex pathogenic mechanisms of SD.

Indexed as

Cell DifferentiationAnimalsbeta-Hexosaminidase beta ChainDisease Models, AnimalInduced Pluripotent Stem CellsMaleMiceMice, KnockoutNeuronsPhenotypeSandhoff Diseasebeta-Hexosaminidase beta Chain

Identifiers

PMID23383290
PMCPMC3561340
OpenAlexW1969497105

What OpenQuestion holds

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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.