scholarly journals The iPSC proteomic compendium

2018 ◽  
Author(s):  
Alejandro Brenes ◽  
Dalila Bensaddek ◽  
Jens Hukelmann ◽  
Vackar Afzal ◽  
Angus I. Lamond

AbstractInduced pluripotent stem cell (iPSC) technology holds great potential for therapeutic and research purposes. The Human Induced Pluripotent Stem Cell Initiative (HipSci) was established to generate a panel of high-quality iPSCs, from healthy and disease cohorts, with accompanying multi-omics and phenotypic data. Here, we present a proteomic analysis of 217 HipSci iPSC lines obtained from 163 donors.This dataset provides a comprehensive proteomic map of iPSCs, identifying >16,000 protein groups. We analyse how the expression profiles of proteins involved in cell cycle, metabolism and DNA repair contribute to key features of iPSC biology and we identify potential new regulators of the primed pluripotent state. To facilitate access, all these data have been integrated into the Encyclopedia of Proteome Dynamics (www.peptracker.com/epd), where it can be browsed interactively. Additionally, we generated an iPSC specific spectral library for DIA which we deposited in PRIDE along with the raw and processed mass-spectrometry data.

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Albert J Pedroza ◽  
Samantha Churovich ◽  
Nobu Yokoyama ◽  
Ken Nakamura ◽  
Cristiana Iosef Husted ◽  
...  

Introduction: Mutations in TGF-beta (TGF-ß) signaling genes lead to aortic root aneurysm in Loeys Dietz syndrome (LDS). Smooth muscle cells (SMCs) in the proximal aorta develop from two embryologic origins: second heart field (SHF) and neural crest (NC). Induced pluripotent stem cell (iPSC) models simulate these lineages, but direct correlation to clinical disease is lacking. Hypothesis: iPSC-derived SMCs accurately model lineage-specific aortopathy in LDS. Methods: We generated SMC lines from root and ascending aortic surgical tissue and iPSC-derived SMCs through SHF and NC-specific pathways from an LDS patient ( TGFBR1 mutation). Lineage-specific TGF-ß responses were determined by western blot/ELISA. RNA sequencing and RT-PCR identified SMC transcriptomes. Results: Aortic root SMCs showed greater canonical TGF-ß activation (p-SMAD2/3) versus ascending at baseline and with TGF-ß stimulation ( Figure ). Synonymous results were seen in SHF versus NC SMCs from the iPSC pathway. RNAseq identified 1,600 differentially expressed genes between iPSC lineages, including altered TGF-ß receptor and ligand expression profiles. Primary aortic lines validated iPSC data: root SMCs showed enriched TGF-ß receptor 1/2/3 expression (1.7-, 3.9- and 5.9-fold) while ascending SMCs overexpressed TGFB1 and TGFB2 ligands (1.8- and 3.5-fold). Despite discordant TGF-ß activation, SMC contractile gene expression was similar between lineages in aortic and iPSC-SMCs, suggesting alternative downstream effects in LDS aneurysm. Conclusion: iPSC-derived SMCs effectively model lineage-specific aortic root aneurysm pathology, validating this model as a tool for mechanistic testing and therapy discovery.


2020 ◽  
Vol 11 ◽  
Author(s):  
Anne Hedegaard ◽  
Szymon Stodolak ◽  
William S. James ◽  
Sally A. Cowley

Human induced Pluripotent Stem Cell (hiPSC) models are a valuable new tool for research into neurodegenerative diseases. Neuroinflammation is now recognized as a key process in neurodegenerative disease and aging, and microglia are central players in this. A plethora of hiPSC-derived microglial models have been published recently to explore neuroinflammation, ranging from monoculture through to xenotransplantation. However, combining physiological relevance, reproducibility, and scalability into one model is still a challenge. We examine key features of the in vitro microglial environment, especially media composition, extracellular matrix, and co-culture, to identify areas for improvement in current hiPSC-microglia models.


Author(s):  
Tanmay Mathur ◽  
James J. Tronolone ◽  
Abhishek Jain

Background Organ‐on‐chip technology has accelerated in vitro preclinical research of the vascular system, and a key strength of this platform is its promise to impact personalized medicine by providing a primary human cell–culture environment where endothelial cells are directly biopsied from individual tissue or differentiated through stem cell biotechniques. However, these methods are difficult to adopt in laboratories, and often result in impurity and heterogeneity of cells. This limits the power of organ‐chips in making accurate physiological predictions. In this study, we report the use of blood‐derived endothelial cells as alternatives to primary and induced pluripotent stem cell–derived endothelial cells. Methods and Results Here, the genotype, phenotype, and organ‐chip functional characteristics of blood‐derived outgrowth endothelial cells were compared against commercially available and most used primary endothelial cells and induced pluripotent stem cell–derived endothelial cells. The methods include RNA‐sequencing, as well as criterion standard assays of cell marker expression, growth kinetics, migration potential, and vasculogenesis. Finally, thromboinflammatory responses under shear using vessel‐chips engineered with blood‐derived endothelial cells were assessed. Blood‐derived endothelial cells exhibit the criterion standard hallmarks of typical endothelial cells. There are differences in gene expression profiles between different sources of endothelial cells, but blood‐derived cells are relatively closer to primary cells than induced pluripotent stem cell–derived. Furthermore, blood‐derived endothelial cells are much easier to obtain from individuals and yet, they serve as an equally effective cell source for functional studies and organ‐chips compared with primary cells or induced pluripotent stem cell–derived cells. Conclusions Blood‐derived endothelial cells may be used in preclinical research for developing more robust and personalized next‐generation disease models using organ‐on‐chips.


2018 ◽  
Author(s):  
Fantuzzi Federica ◽  
Toivonen Sanna ◽  
Schiavo Andrea Alex ◽  
Pachera Nathalie ◽  
Rajaei Bahareh ◽  
...  

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