Evidence map›Paper›PMID 26874523›Full record

ArticleProtein & cell2016

Modeling xeroderma pigmentosum associated neurological pathologies with patients-derived iPSCs.

Lina Fu, Xiuling Xu, Ruotong Ren, Jun Wu, Weiqi Zhang, Jiping Yang, Xiaoqing Ren, Si Wang, Yang Zhao, Liang Sun and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Protein & cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  4. Biomarkers of aging.Science China. Life sciences · 2023
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  8. DNA repair fidelity in stem cell maintenance, health, and disease.Biochimica et biophysica acta. Molecular basis of disease · 2020
    Review
  9. Article
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  11. Review
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  13. Article
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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

18 authors at 8 institutions in 3 countries.

Lina FuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Xiuling XuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Ruotong RenNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Jun WuGene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA.
Weiqi ZhangNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Jiping YangNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Xiaoqing RenNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Si WangNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Yang ZhaoNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Liang SunBeijing Hospital of the Ministry of Health, Beijing, 100730, China.
Yang YuDepartment of Gynecology and Obstetrics, Peking University Third Hospital, Beijing, 100191, China.
Zhaoxia WangDepartment of Neurology, Peking University First Hospital, Beijing, 100034, China.
Ze YangBeijing Hospital of the Ministry of Health, Beijing, 100730, China.
Yun YuanDepartment of Neurology, Peking University First Hospital, Beijing, 100034, China.
Jie QiaoDepartment of Gynecology and Obstetrics, Peking University Third Hospital, Beijing, 100191, China.
Juan Carlos Izpisua BelmonteGene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA, 92037, USA. belmonte@salk.edu.
Jing QuState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China. qujing@ioz.ac.cn.
Guang-Hui LiuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. ghliu@ibp.ac.cn.
Chinese Academy of Sciences · CNInstitute of Biophysics · CNPeking University · CNBeijing Hospital · CNSalk Institute for Biological Studies · USFoshan University · CNInstitute of Zoology · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xeroderma pigmentosum (XP) is a group of genetic disorders caused by mutations of XP-associated genes, resulting in impairment of DNA repair. XP patients frequently exhibit neurological degeneration, but the underlying mechanism is unknown, in part due to lack of proper disease models. Here, we generated patient-specific induced pluripotent stem cells (iPSCs) harboring mutations in five different XP genes including XPA, XPB, XPC, XPG, and XPV. These iPSCs were further differentiated to neural cells, and their susceptibility to DNA damage stress was investigated. Mutation of XPA in either neural stem cells (NSCs) or neurons resulted in severe DNA damage repair defects, and these neural cells with mutant XPA were hyper-sensitive to DNA damage-induced apoptosis. Thus, XP-mutant neural cells represent valuable tools to clarify the molecular mechanisms of neurological abnormalities in the XP patients.

Indexed as

Models, BiologicalDNA-Binding ProteinsDNA DamageDNA RepairFemaleHumansInduced Pluripotent Stem CellsMaleMutationNeural Stem CellsXeroderma PigmentosumDNA-Binding Proteinsdisease modeliPSCneural stem cellneuronxeroderma pigmentosum

Identifiers

PMID26874523
PMCPMC4791426
OpenAlexW2278964720

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.