Single-Cell RNA-Seq Analysis of Cells from Degenerating and Non-Degenerating Intervertebral Discs from the Same Individual Reveals New Biomarkers for Intervertebral Disc Degeneration

In this study, we used single-cell transcriptomic analysis to identify new specific biomarkers for nucleus pulposus (NP) and inner annulus fibrosis (iAF) cells, and to define cell populations within non-degenerating (nD) and degenerating (D) human intervertebral discs (IVD) of the same individual. C...

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Bibliographic Details
Published in:International journal of molecular sciences 2022-04, Vol.23 (7), p.3993
Main Authors: Cherif, Hosni, Mannarino, Matthew, Pacis, Alain Sarabia, Ragoussis, Jiannis, Rabau, Oded, Ouellet, Jean A, Haglund, Lisbet
Format: Article
Language:English
Subjects:
Biological activity
Biomarkers
Biomarkers - metabolism
CD44 antigen
Cell Cycle Proteins - metabolism
Chitinases - metabolism
Connective tissue growth factor
Degeneration
Extracellular matrix
F-Box Proteins - genetics
Fibrosis
Gene expression
Genes
Humans
Id1 protein
Inflammation
Intervertebral Disc - metabolism
Intervertebral Disc Degeneration - genetics
Intervertebral Disc Degeneration - metabolism
Intervertebral discs
Lectins, C-Type - metabolism
Nerve Tissue Proteins - metabolism
Nucleus pulposus
Nucleus Pulposus - metabolism
Osteonectin
Phase transitions
Phenotypes
Senescence
Sequence Analysis, RNA
Superoxide dismutase
Transcription factors
Transcriptomics
Vimentin
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Summary:In this study, we used single-cell transcriptomic analysis to identify new specific biomarkers for nucleus pulposus (NP) and inner annulus fibrosis (iAF) cells, and to define cell populations within non-degenerating (nD) and degenerating (D) human intervertebral discs (IVD) of the same individual. Cluster analysis based on differential gene expression delineated 14 cell clusters. Gene expression profiles at single-cell resolution revealed the potential functional differences linked to degeneration, and among NP and iAF subpopulations. GO and KEGG analyses discovered molecular functions, biological processes, and transcription factors linked to cell type and degeneration state. We propose two lists of biomarkers, one as specific cell type, including , , , , , , , , , , , , , and . The second list proposes predictive IVD degeneration genes, including , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . Protein and mRNA expression of , , and genes validated our scRNA-seq findings. Our data provide new insights into disc cells phenotypes and biomarkers of IVD degeneration that could improve diagnostic and therapeutic options.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms23073993