Gene expression profiling analysis of the effects of low-intensity pulsed ultrasound on induced pluripotent stem cell-derived neural crest stem cells

2017 ◽  
Vol 64 (6) ◽  
pp. 927-937 ◽  
Author(s):  
Bin Xia ◽  
Yang Zou ◽  
Zhiling Xu ◽  
Yonggang Lv
Keyword(s):  
Gene Expression ◽  
Expression Profiling ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Pulsed Ultrasound ◽  
Neural Crest Stem Cells ◽  
Low Intensity Pulsed Ultrasound ◽  
Low Intensity ◽  
Induced Pluripotent ◽  
Profiling Analysis

scholarly journals Human Induced Pluripotent Stem Cell-derived Hepatocyte-like Cells Provide Insights on Parenteral Nutrition Associated Cholestasis in the Immature Liver

2021 ◽  
Author(s):  
T. Hang Nghiem-Rao ◽  
Courtney Pfeifer ◽  
Michelle Asuncion ◽  
Joshua Nord ◽  
Daniel Schill ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Bile Acid ◽  
Parenteral Nutrition ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Computational Techniques ◽  
Adult Liver ◽  
Induced Pluripotent ◽  
The Impact

Abstract Parenteral nutrition-associated cholestasis (PNAC) significantly limits the safety of intravenous parenteral nutrition (PN). Critically ill infants are highly vulnerable to PNAC-related morbidity and mortality, however the impact of hepatic immaturity on PNAC is poorly understood. We examined developmental differences between fetal/infant and adult livers, and used human induced pluripotent stem cell-derived hepatocyte-like cells (iHLC) to gain insights into the contribution of development to altered sterol metabolism and PNAC. We used RNA-sequencing and computational techniques to compare gene expression patterns in human fetal/infant livers, adult liver, and iHLC. We identified distinct gene expression profiles between the human feta/infant livers compared to adult liver, and close resemblance of iHLC to human developing livers. Compared to adult, both developing livers and iHLC had significant downregulation of xenobiotic, bile acid, and fatty acid metabolism; and lower expression of the sterol metabolizing gene ABCG8. When challenged with stigmasterol, a plant sterol found in intravenous soy lipids, lipid accumulation was significantly higher in iHLC compared to adult-derived HepG2 cells. Our findings provide insights into altered bile acid and lipid metabolizing processes in the immature human liver, and support the use of iHLC as a relevant model system of developing liver to study lipid metabolism and PNAC.

scholarly journals Analysis of Gene Expression in Induced Pluripotent Stem Cell-Derived Human Neurons Exposed to Botulinum Neurotoxin A Subtype 1 and a Type A Atoxic Derivative

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e111238 ◽  
Author(s):  
Jacob M. Scherf ◽  
Xiaoyang Serene Hu ◽  
William H. Tepp ◽  
Konstantin Ichtchenko ◽  
Eric A. Johnson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Botulinum Neurotoxin ◽  
Induced Pluripotent Stem Cell ◽  
Type A ◽  
Botulinum Neurotoxin A ◽  
Human Neurons ◽  
Induced Pluripotent

scholarly journals Single Cell Sequencing of Induced Pluripotent Stem Cell Derived Retinal Ganglion Cells (iPSC-RGC) Reveals Distinct Molecular Signatures and RGC Subtypes

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2015
Author(s):  
Harini V. Gudiseva ◽  
Vrathasha Vrathasha ◽  
Jie He ◽  
Devesh Bungatavula ◽  
Joan M. O’Brien ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Single Cell ◽  
Retinal Ganglion Cells ◽  
Pluripotent Stem Cell ◽  
Ganglion Cells ◽  
Induced Pluripotent Stem Cell ◽  
Retinal Ganglion ◽  
Single Cell Sequencing ◽  
Induced Pluripotent

We intend to identify marker genes with differential gene expression (DEG) and RGC subtypes in cultures of human-induced pluripotent stem cell (iPSC)-derived retinal ganglion cells. Single-cell sequencing was performed on mature and functional iPSC-RGCs at day 40 using Chromium Single Cell 3’ V3 protocols (10X Genomics). Sequencing libraries were run on Illumina Novaseq to generate 150 PE reads. Demultiplexed FASTQ files were mapped to the hg38 reference genome using the STAR package, and cluster analyses were performed using a cell ranger and BBrowser2 software. QC analysis was performed by removing the reads corresponding to ribosomal and mitochondrial genes, as well as cells that had less than 1X mean absolute deviation (MAD), resulting in 4705 cells that were used for further analyses. Cells were separated into clusters based on the gene expression normalization via PCA and TSNE analyses using the Seurat tool and/or Louvain clustering when using BBrowser2 software. DEG analysis identified subsets of RGCs with markers like MAP2, RBPMS, TUJ1, BRN3A, SOX4, TUBB3, SNCG, PAX6 and NRN1 in iPSC-RGCs. Differential expression analysis between separate clusters identified significant DEG transcripts associated with cell cycle, neuron regulatory networks, protein kinases, calcium signaling, growth factor hormones, and homeobox transcription factors. Further cluster refinement identified RGC diversity and subtype specification within iPSC-RGCs. DEGs can be used as biomarkers for RGC subtype classification, which will allow screening model systems that represent a spectrum of diseases with RGC pathology.

Sign in / Sign up

Export Citation Format

Share Document