Transcriptional Profiling Provides New Insights into Organ Culture-Induced Changes in Human Donor Corneas.
Julian WolfPaola Kammrath BetancorPhilip MaierSonja Ute HeinzelmannJana JiangClemens A LangeThomas ReinhardGünther SchlunckThabo LappPublished in: International journal of molecular sciences (2022)
Corneal transplantation is one of the most common forms of tissue transplantation worldwide. Donor corneal tissue used in transplantation is provided by eye banks, which store the tissue in culture medium after procurement. To date, the effects of cell culture on human corneal tissue have not been fully elucidated. Using the 3' RNA sequencing method for massive analysis of cDNA ends (MACE), we show that cultivation of corneal tissue leads to significant changes in a variety of molecular processes in human corneal tissue that go well beyond aspects of previously known culture effects. Functionally grouped network analysis revealed nine major groups of biological processes that were affected by corneal organ culture, among them keratinization, hypoxia, and angiogenesis, with genes from each group being affected by culture time. A cell type deconvolution analysis revealed significant modulations of the corneal immune cell profile in a time dependent manner. The results suggest that current culture conditions should be further refined and that prolonged cultivation may be detrimental. Recently, we showed that MACE enables transcriptional profiling of formalin-fixed and paraffin-embedded (FFPE) conjunctival tissue with high accuracy even after more than 10 years of storage. Here we demonstrate that MACE provides comparable results for native and FFPE corneal tissue, confirming that the technology is suitable for transcriptome analysis of a wide range of archived diseased corneal samples stored in histological archives. Finally, our data underscore the feasibility of bioinformatics cell-type enrichment analysis in bulk RNA-seq data to profile immune cell composition in fixed and archived corneal tissue samples, for which RNA-seq analysis of individual cells is often not possible.
Keyphrases
- single cell
- rna seq
- wound healing
- optical coherence tomography
- endothelial cells
- cataract surgery
- network analysis
- machine learning
- mesenchymal stem cells
- induced apoptosis
- stem cells
- electronic health record
- signaling pathway
- dna methylation
- vascular endothelial growth factor
- bone marrow
- single molecule
- heat shock protein