Low-Input RNA-Sequencing in Patients with Cartilage Lesions, Osteoarthritis, and Healthy Cartilage

Author:

Wang Katherine123ORCID,Esbensen Q.Y.45,Karlsen T.A.6,Eftang C.N.7,Owesen C.3,Aroen A.238,Jakobsen R.B.39

Affiliation:

1. Faculty of Medicine, University of Oslo, Oslo, Norway

2. Oslo Sports Trauma Research Center, Norwegian School of Sports Sciences, Oslo, Norway

3. Department of Orthopaedic Surgery, Akershus University Hospital, Lørenskog, Norway

4. Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway

5. Department of Clinical Molecular Biology, University of Oslo, Oslo, Norway

6. Norwegian Center for Stem Cell Research, Department of Immunology and Transfusion Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway

7. Department of Pathology, Akershus University Hospital, Lørenskog, Norway

8. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway

9. Department of Health Management and Health Economics, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway

Abstract

Objective To analyze and compare cartilage samples from 3 groups of patients utilizing low-input RNA-sequencing. Design Cartilage biopsies were collected from patients in 3 groups ( n = 48): Cartilage lesion (CL) patients had at least ICRS grade 2, osteoarthritis (OA) samples were taken from patients undergoing knee replacement, and healthy cartilage (HC) was taken from ACL-reconstruction patients without CLs. RNA was isolated using an optimized protocol. RNA samples were assessed for quality and sequenced with a low-input SmartSeq2 protocol. Results RNA isolation yielded 48 samples with sufficient quality for sequencing. After quality control, 13 samples in the OA group, 9 in the HC group, and 9 in the CL group were included in the analysis. There was a high degree of co-clustering between the HC and CL groups with only 6 genes significantly up- or downregulated. OA and the combined HC/CL group clustered significantly separate from each other, yielding 659 significantly upregulated and 1,369 downregulated genes. GO-term analysis revealed that genes matched to cartilage and connective tissue development terms. Conclusion The gene expression profiles from the 3 groups suggest that there are no major differences in gene expression between cartilage from knees with a cartilage injury and knees without an apparent cartilage injury. OA cartilage, as expected, showed markedly different gene expression from the other 2 groups. The gene expression profiles resulting from this low-input RNA-sequencing study offer opportunities to discover new pathways not previously recognized that may be explored in future studies.

Publisher

SAGE Publications

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Biomedical Engineering,Immunology and Allergy

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