1
|
Psutkova V, Nickl P, Brezinova V, Machonova O, Machon O. Transcription factor Meis1b regulates craniofacial morphogenesis in zebrafish. Dev Dyn 2024. [PMID: 39087648 DOI: 10.1002/dvdy.731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 06/28/2024] [Accepted: 07/17/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Meis family of transcription factors operates in Pbx-Meis-Hox regulatory network controlling development of various tissues including eye, limbs, heart, hindbrain or craniofacial skeletal elements originating from the neural crest. Although studies in mouse provide abundant information about Meis factors function in embryogenesis, little is known about their role in zebrafish. RESULTS We generated zebrafish lines carrying null mutations in meis1a, meis1b, meis2a, and meis2b genes. Only meis1b mutants are lethal at larval stage around 13 dpf whereas the other mutant lines are viable and fertile. We focused on development of neural crest-derived craniofacial structures such as tendons, cranial nerves, cartilage and accompanying muscles. Meis1b mutants displayed morphogenetic abnormalities in the cartilage originating from the first and second pharyngeal arches. Meckel's cartilage was shorter and wider with fused anterior symphysis and abnormal chondrocyte organization. This resulted in impaired tendons and muscle fiber connections while tenocyte development was not largely affected. CONCLUSIONS Loss-of-function mutation in meis1b affects cartilage morphology in the lower jaw that leads to disrupted organization of muscles and tendons.
Collapse
Affiliation(s)
- Viktorie Psutkova
- Department of Developmental Biology, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic
- Department of Cell Biology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Petr Nickl
- Department of Developmental Biology, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic
| | - Veronika Brezinova
- Department of Developmental Biology, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic
| | - Olga Machonova
- Laboratory of Cell Differentiation, Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
| | - Ondrej Machon
- Department of Developmental Biology, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic
| |
Collapse
|
2
|
Kuchynsky K, Stevens P, Hite A, Xie W, Diop K, Tang S, Pietrzak M, Khan S, Walter B, Purmessur D. Transcriptional profiling of human cartilage endplate cells identifies novel genes and cell clusters underlying degenerated and non-degenerated phenotypes. Arthritis Res Ther 2024; 26:12. [PMID: 38173036 PMCID: PMC10763221 DOI: 10.1186/s13075-023-03220-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/22/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Low back pain is a leading cause of disability worldwide and is frequently attributed to intervertebral disc (IVD) degeneration. Though the contributions of the adjacent cartilage endplates (CEP) to IVD degeneration are well documented, the phenotype and functions of the resident CEP cells are critically understudied. To better characterize CEP cell phenotype and possible mechanisms of CEP degeneration, bulk and single-cell RNA sequencing of non-degenerated and degenerated CEP cells were performed. METHODS Human lumbar CEP cells from degenerated (Thompson grade ≥ 4) and non-degenerated (Thompson grade ≤ 2) discs were expanded for bulk (N=4 non-degenerated, N=4 degenerated) and single-cell (N=1 non-degenerated, N=1 degenerated) RNA sequencing. Genes identified from bulk RNA sequencing were categorized by function and their expression in non-degenerated and degenerated CEP cells were compared. A PubMed literature review was also performed to determine which genes were previously identified and studied in the CEP, IVD, and other cartilaginous tissues. For single-cell RNA sequencing, different cell clusters were resolved using unsupervised clustering and functional annotation. Differential gene expression analysis and Gene Ontology, respectively, were used to compare gene expression and functional enrichment between cell clusters, as well as between non-degenerated and degenerated CEP samples. RESULTS Bulk RNA sequencing revealed 38 genes were significantly upregulated and 15 genes were significantly downregulated in degenerated CEP cells relative to non-degenerated cells (|fold change| ≥ 1.5). Of these, only 2 genes were previously studied in CEP cells, and 31 were previously studied in the IVD and other cartilaginous tissues. Single-cell RNA sequencing revealed 11 unique cell clusters, including multiple chondrocyte and progenitor subpopulations with distinct gene expression and functional profiles. Analysis of genes in the bulk RNA sequencing dataset showed that progenitor cell clusters from both samples were enriched in "non-degenerated" genes but not "degenerated" genes. For both bulk- and single-cell analyses, gene expression and pathway enrichment analyses highlighted several pathways that may regulate CEP degeneration, including transcriptional regulation, translational regulation, intracellular transport, and mitochondrial dysfunction. CONCLUSIONS This thorough analysis using RNA sequencing methods highlighted numerous differences between non-degenerated and degenerated CEP cells, the phenotypic heterogeneity of CEP cells, and several pathways of interest that may be relevant in CEP degeneration.
Collapse
Affiliation(s)
- Kyle Kuchynsky
- Department of Biomedical Engineering, The Ohio State University, 3016 Fontana Laboratories, 140 W. 19th Ave, Columbus, OH, 43210, USA
| | - Patrick Stevens
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Amy Hite
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - William Xie
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, USA
| | - Khady Diop
- Department of Biomedical Engineering, The Ohio State University, 3016 Fontana Laboratories, 140 W. 19th Ave, Columbus, OH, 43210, USA
| | - Shirley Tang
- Department of Biomedical Engineering, The Ohio State University, 3016 Fontana Laboratories, 140 W. 19th Ave, Columbus, OH, 43210, USA
| | - Maciej Pietrzak
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
- The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Safdar Khan
- Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Benjamin Walter
- Department of Biomedical Engineering, The Ohio State University, 3016 Fontana Laboratories, 140 W. 19th Ave, Columbus, OH, 43210, USA
| | - Devina Purmessur
- Department of Biomedical Engineering, The Ohio State University, 3016 Fontana Laboratories, 140 W. 19th Ave, Columbus, OH, 43210, USA.
- Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| |
Collapse
|