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Analysis of differentially expressed genes among human hair follicle–derived iPSCs, induced hepatocyte-like cells, and primary hepatocytes

Overview of attention for article published in Stem Cell Research & Therapy, August 2018
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Title
Analysis of differentially expressed genes among human hair follicle–derived iPSCs, induced hepatocyte-like cells, and primary hepatocytes
Published in
Stem Cell Research & Therapy, August 2018
DOI 10.1186/s13287-018-0940-z
Pubmed ID
Authors

Ziran Xu, Xia He, Xu Shi, Yuhan Xia, Xiaomei Liu, Haitao Wu, Pengdong Li, Hongyu Zhang, Weisi Yin, Xiubo Du, Lisha Li, Yulin Li

Abstract

Differentiation of human induced pluripotent stem cells (hiPSCs) into hepatocytes has important clinical significance in providing a new stem cell source for cell therapy of terminal liver disease. The differential gene expression analysis of hiPSCs, induced hepatocyte-like cells (HLCs), and primary human hepatocytes (PHHs) provides valuable information for optimization of an induction scheme and exploration of differentiation mechanisms. Human hair follicle-derived iPSCs (hHF-iPSCs) were induced in vitro by mimicking the environment of a developing liver for 19 days. Expression of specific proteins was determined by immunofluorescence staining; the function of HLCs in storage and metabolism was identified by detecting periodic acid-Schiff, indocyanine green, and low-density lipoprotein. Based on the transcriptomics data, the differential gene expression profiles of hHF-iPSCs, HLCs, and PHHs were analyzed by Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, FunRich, and network analysis methods. HLCs were able to express albumin (ALB), alpha-fetoprotein, CYP3A4, and CYP7A1, and exhibited matured liver cell functions such as glycogen synthesis and storage. Complement and coagulation cascades and metabolic pathways ranked top in the downregulated list of HLCs/PHHs, while the cell cycle ranked top in the upregulated list of HLCs/PHHs. In the protein-protein interaction network, according to the degree rankings, TOP2A, CDK1, etc. were the important upregulated differentially expressed genes (DEGs), while ALB, ACACB, etc. were the major downregulated DEGs in HLCs/PHHs; the module analysis indicated that CDCA8, AURKB, and AURKA were the top upregulated DEGs in HLCs/PHHs. We presented the differences in gene expression among hHF-iPSCs, HLCs, and PHHs through transcriptome array data and provided new ideas for the optimization of induction.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 2 12%
Other 1 6%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 7 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Pharmacology, Toxicology and Pharmaceutical Science 2 12%
Medicine and Dentistry 1 6%
Unknown 9 53%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 August 2018.
All research outputs
#10,963,900
of 13,804,624 outputs
Outputs from Stem Cell Research & Therapy
#904
of 1,218 outputs
Outputs of similar age
#202,366
of 271,438 outputs
Outputs of similar age from Stem Cell Research & Therapy
#1
of 1 outputs
Altmetric has tracked 13,804,624 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,218 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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