Generating human retinal ganglion cells from human induced pluripotent cells in feeder and feeder-free conditions

2012 ◽  
Vol 90 ◽  
pp. 0-0 ◽  
Author(s):  
S ALSHAMEKH ◽  
J HERTZ ◽  
B DEROSA ◽  
S UDDIN ◽  
R PATEL ◽  
...  
Genes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 112
Author(s):  
Marta García-López ◽  
Joaquín Arenas ◽  
M. Esther Gallardo

Inherited optic neuropathies share visual impairment due to the degeneration of retinal ganglion cells (RGCs) as the hallmark of the disease. This group of genetic disorders are caused by mutations in nuclear genes or in the mitochondrial DNA (mtDNA). An impaired mitochondrial function is the underlying mechanism of these diseases. Currently, optic neuropathies lack an effective treatment, and the implementation of induced pluripotent stem cell (iPSC) technology would entail a huge step forward. The generation of iPSC-derived RGCs would allow faithfully modeling these disorders, and these RGCs would represent an appealing platform for drug screening as well, paving the way for a proper therapy. Here, we review the ongoing two-dimensional (2D) and three-dimensional (3D) approaches based on iPSCs and their applications, taking into account the more innovative technologies, which include tissue engineering or microfluidics.


Stem Cells ◽  
2017 ◽  
Vol 35 (11) ◽  
pp. 2239-2252 ◽  
Author(s):  
Pooja Teotia ◽  
Matthew J. Van Hook ◽  
Christopher S. Wichman ◽  
R. Rand Allingham ◽  
Michael A. Hauser ◽  
...  

2020 ◽  
Vol 21 (21) ◽  
pp. 7831
Author(s):  
Ayaka Edo ◽  
Sunao Sugita ◽  
Yoko Futatsugi ◽  
Junki Sho ◽  
Akishi Onishi ◽  
...  

Retinal ganglion cells (RGCs) are impaired in patients such as those with glaucoma and optic neuritis, resulting in permanent vision loss. To restore visual function, development of RGC transplantation therapy is now underway. Induced pluripotent stem cells (iPSCs) are an important source of RGCs for human allogeneic transplantation. We therefore analyzed the immunological characteristics of iPSC-derived RGCs (iPSC-RGCs) to evaluate the possibility of rejection after RGC transplantation. We first assessed the expression of human leukocyte antigen (HLA) molecules on iPSC-RGCs using immunostaining, and then evaluated the effects of iPSC-RGCs to activate lymphocytes using the mixed lymphocyte reaction (MLR) and iPSC-RGC co-cultures. We observed low expression of HLA class I and no expression of HLA class II molecules on iPSC-RGCs. We also found that iPSC-RGCs strongly suppressed various inflammatory immune cells including activated T-cells in the MLR assay and that transforming growth factor-β2 produced by iPSC-RGCs played a critical role in suppression of inflammatory cells in vitro. Our data suggest that iPSC-RGCs have low immunogenicity, and immunosuppressive capacity on lymphocytes. Our study will contribute to predicting immune attacks after RGC transplantation.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Taku Tanaka ◽  
Tadashi Yokoi ◽  
Fuminobu Tamalu ◽  
Shu-Ichi Watanabe ◽  
Sachiko Nishina ◽  
...  

ChemBioChem ◽  
2021 ◽  
Author(s):  
Lea S. Husen ◽  
Anna‐Maria Katsori ◽  
Birthe Meineke ◽  
Lars O. Tjernberg ◽  
Sophia Schedin‐Weiss ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 2015
Author(s):  
Harini V. Gudiseva ◽  
Vrathasha Vrathasha ◽  
Jie He ◽  
Devesh Bungatavula ◽  
Joan M. O’Brien ◽  
...  

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.


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