Analysis of RNA Polyadenylation in Healthy and Osteoarthritic Human Articular Cartilage.
Phaedra Winstanley-ZarachGregor RotShweta Yogesh KubaAibek SmagulMandy J PeffersSimon R TewPublished in: International journal of molecular sciences (2023)
Polyadenylation (polyA) defines the 3' boundary of a transcript's genetic information. Its position can vary and alternative polyadenylation (APA) transcripts can exist for a gene. This causes variance in 3' regulatory domains and can affect coding sequence if intronic events occur. The distribution of polyA sites on articular chondrocyte transcripts has not been studied so we aimed to define their transcriptome-wide location in age-matched healthy and osteoarthritic knee articular cartilage. Total RNA was isolated from frozen tissue samples and analysed using the QuantSeq-Reverse 3' RNA sequencing approach, where each read runs 3' to 5' from within the polyA tail into the transcript and contains a distinct polyA site. Differential expression of transcripts was significant altered between healthy and osteoarthritic samples with enrichment for functionalities that were strongly associated with joint pathology. Subsequent examination of polyA site data allowed us to define the extent of site usage across all the samples. When comparing healthy and osteoarthritic samples, we found that differential use of polyadenylation sites was modest. However, in the genes affected, there was potential for the APA to have functional relevance. We have characterised the polyadenylation landscape of human knee articular chondrocytes and conclude that osteoarthritis does not elicit a widespread change in their polyadenylation site usage. This finding differentiates knee osteoarthritis from pathologies such as cancer where APA is more commonly observed.
Keyphrases
- knee osteoarthritis
- genome wide
- single cell
- endothelial cells
- rna seq
- total knee arthroplasty
- copy number
- papillary thyroid
- transcription factor
- squamous cell carcinoma
- electronic health record
- rheumatoid arthritis
- healthcare
- single molecule
- genome wide identification
- social media
- deep learning
- extracellular matrix
- big data
- health information
- risk assessment
- human health
- squamous cell
- amino acid
- artificial intelligence
- climate change
- genome wide analysis