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Generation of special autosomal dominant polycystic kidney disease iPSCs with the capability of functional kidney-like cell differentiation

Overview of attention for article published in Stem Cell Research & Therapy, September 2017
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Generation of special autosomal dominant polycystic kidney disease iPSCs with the capability of functional kidney-like cell differentiation
Published in
Stem Cell Research & Therapy, September 2017
DOI 10.1186/s13287-017-0645-8
Pubmed ID
Authors

Jiahui Huang, Shumin Zhou, Xin Niu, Bin Hu, Qing Li, Feng Zhang, Xue Zhang, Xiujuan Cai, Yuanlei Lou, Fen Liu, Chenming Xu, Yang Wang

Abstract

Human induced pluripotent stem cells (iPSCs) have been verified as a powerful cell model for the study of pathogenesis in hereditary disease. Autosomal dominant polycystic kidney disease (ADPKD) is caused by mutations of PKD or non-PKD genes. The pathogenesis of ADPKD remains unexplored because of the lack of a true human cell model. Six ADPKD patients and four healthy individuals were recruited as donors of somatic cells from a Chinese ADPKD family without mutations of the PKD genes but carrying SAMSN1 gene deletion. The ADPKD-iPSCs were generated from somatic cells and were induced into kidney-like cells (KLCs) by a novel three-step method involving cytokines and renal epithelium growth medium. Furthermore, we analyzed functional properties of these KLCs by water transportation and albumin absorption assays. We successfully generated iPSCs from ADPKD patients and differentiated them into KLCs that showed morphological and functional characteristics of human kidney cells. Further, we also found that ADPKD-iPSC-KLCs had a significantly higher rate of apoptosis and a significantly lower capacity for water transportation and albumin absorption compared to healthy sibling-derived differentiated KLCs. Furthermore, knockdown of SAMSN1 in control iPSCs may attenuate differentiation and/or function of KLCs. These data show that we have created the first iPSCs established from ADPKD patients without mutations in the PKD genes, and suggest that the deletion mutation of SAMSN1 might be involved in the differentiation and/or function of KLCs. ADPKD-iPSC-KLCs can be used as a versatile model system for the study of kidney disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 4 13%
Student > Master 3 10%
Librarian 2 7%
Student > Bachelor 2 7%
Other 4 13%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 5 17%
Agricultural and Biological Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Psychology 2 7%
Other 4 13%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2017.
All research outputs
#14,730,841
of 23,590,588 outputs
Outputs from Stem Cell Research & Therapy
#1,158
of 2,498 outputs
Outputs of similar age
#178,401
of 319,003 outputs
Outputs of similar age from Stem Cell Research & Therapy
#27
of 63 outputs
Altmetric has tracked 23,590,588 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.