Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The developing mouse coronal suture at single-cell resolution

ABSTRACT: Sutures separate the flat bones of the skull and enable coordinated growth of the brain and overlying cranium. In order to uncover the cellular diversity within sutures, we conducted single-cell transcriptomic and histological analyses of the embryonic murine coronal suture. We identify Erg and Pthlh as early markers of osteogenic progenitors in sutures, and distinct pre-osteoblast signatures between the bone fronts and periosteum. diverse mesenchymal layers at the coronal suture, including multiple distinct meningeal layers below the suture, and ligamentous, ectocranial, and hypodermal layers above the sutureIn the ectocranial layers above the suture, we observe a ligament-like population spanning the frontal and parietal bones and expressing genes implicated in mechanosensation. Mesenchyme in and around the coronal suture is asymmetrically distributed between the frontal and parietal bones, and we identify different states of osteogenic cells extending from the bone fronts into the more mature bone, and a potential signature for sutural stem cellsIn the meningeal layers, we detect a potential chondrogenic periosteal dura population that may be involved in endochondral ossification that closes sutures. Expression of genes mutated in craniosynostosis is spread across diverse cell types, suggesting multiple points at which homeostasis can fail. This single-cell atlas provides a resource to understand the development of the coronal suture, the suture most commonly fused in craniosynostosis.

ORGANISM(S): Mus musculus

PROVIDER: GSE163693 | GEO | 2021/06/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single-cell analysis identifies a key role for Hhip in murine coronal suture development

Project description:Craniofacial development depends on formation and maintenance of sutures between bones of the skull. In sutures, growth occurs at osteogenic fronts along the edge of each bone and suture mesenchyme separates adjacent bones. We performed single-cell RNA-seq analysis of the embryonic, murine coronal suture. Seven populations at E16.5 and nine at E18.5 comprised the suture mesenchyme, osteogenic cells, and associated populations. Expression of Hhip, an inhibitor of hedgehog (HH) signaling, marked a mesenchymal population distinct from other neurocranial sutures. At E18.5, Hhip-/- coronal osteogenic fronts were closely apposed and HH signaling was increased throughout the depleted suture mesenchyme compared to WT, demonstrating that Hhip is required for normal coronal suture development. Tracing of the neonatal Hhip-expressing population showed that descendant cells persisted in the coronal suture and contributed to calvarial bone growth. Our transcriptomic approach provides a rich resource for insight into normal and abnormal development.

2021-06-26 | GSE178899 | GEO

The prenatal frontal and parietal bones are distinct organs.

Project description:The skull vault is composed of frontal and parietal bones that are connected by flexible sutures that protect the growing brain. Intramembranous ossification in the prenatal skull vault starts by mid-gestation in the mouse, and sutures must remain flexible for normal growth and development. Therefore, the balance of bone formation and remodeling needs to be precisely controlled because premature ossification in the sutures causes craniosynostosis (CS) to develop. CS has a variable clinical presentation where two frontal bones may be fused together, or a frontal bone may be fused to a parietal bone. While most studies focus on the premature suture ossification, we hypothesized that the process of intramembranous ossification in the frontal and parietal bones contributes to the etiology of CS. By bulk RNASeq we identified 536 unique transcripts between the frontal and parietal compartments.Taken together, we propose that the frontal bone is more active in bone remodeling than the parietal bone, and this control is important for temporal onset of intramembranous ossification in the skull vault.

2023-10-21 | GSE245664 | GEO

Skeletal Stem Cell Powering Cranial Suture Fate: An Answer to Craniosynostosis (scRNA-seq)

Project description:Purpose: The cranial suture is a fibrous joint, and similar to the growth plates of the skeletal long bone, they serve as the major centers of calvarial vault morphogenesis. Our group’s identification of a skeletal stem cell isolated from the mouse tibial growth plate prompted us to investigate whether these skeletal stem cells are also resident in the mouse cranial sutures and if they govern postnatal suture patency or fusion. Results: We preformed a spatio-temporal profiling of the mouse cranial sutures by flow cytometry, demonstrating a significant decrease in the temporal representation of skeletal stem cells in fusing versus patent sutures. Moreover, canonical Wnt signaling has a significant impact on skeletal stem cells proliferation and thus representation within the suture, dictating fate: fusion or patency. Breeding an Axin2+/-LacZ mouse, with enhanced activation of canonical Wnt signaling to a Twist1+/− mouse, harboring a coronal craniosynostosis enriched the skeletal stem cell pool in coronal sutures, thereby preventing Twist1+/− craniosynostosis. Conclusions: Our findings suggest an imbalance and/or decrease in resident skeletal stem cells within the cranial sutures gives rise to craniosynostosis, however, restoring this representation by enriching skeletal stem cells within the suture can maintain patency.

2020-04-15 | GSE138881 | GEO

Skeletal Stem Cell Powering Cranial Suture Fate: An Answer to Craniosynostosis (bulk_RNA-seq)

2020-04-15 | GSE138880 | GEO

BMP-dependent cellular dynamics during cranial suture establishment in zebrafish

Project description:Cranial sutures separate neighboring skull bones and contain skeletal stem cells that drive bone growth. A key question is how osteogenic activity is controlled to promote bone growth while preventing aberrant bone fusions during skull expansion. Here we integrate single-cell transcriptomics, in vivo expression validation, photoconversion-based lineage tracing, and a zebrafish craniosynostosis model to uncover key developmental transitions regulating bone formation during skull expansion. In addition to conservation of meninges and osteoblast lineage cells between zebrafish and mouse, single-cell transcriptomic analysis of the zebrafish skull reveals distinct subpopulations of suture mesenchyme that undergo transcriptomic changes during suture establishment. While lineage tracing with an osteoblast-specific nlsEOS reporter shows that bone formation largely occurs at suture edges, a subset of mesenchyme cells in the mid-suture region upregulate a suite of genes including BMP antagonists (e.g. grem1a) and pro-angiogenic factors. Further, lineage tracing with grem1a:nlsEOS reveals that this mid-suture subpopulation is largely non-osteogenic. In twist1b; tcf12 mutant zebrafish, a model for the coronal synostosis of Saethre-Chotzen Syndrome, reduction of grem1a+ mid-suture cells correlates with misregulated bone formation and reduced blood vessels at the coronal suture. In addition, combinatorial mutation of BMP antagonists enriched in the mid-suture subpopulation results in increased BMP signaling in the suture, misregulated bone formation, and abnormal suture morphology. These data support roles of a subset of mid-suture mesenchyme in locally promoting BMP antagonism that ensures proper suture morphology.

2024-07-11 | GSE223147 | GEO

Calvarial osteoblast transcriptome analysis identifies genetic targets and extracellular matrix-mediated focal adhesion as potential biomarkers for single-suture craniosynostosis

Project description:Craniosynostosis is a disease defined by premature fusion of one or more cranial sutures. The mechanistic pathology of isolated single-suture craniosynostosis is complex and while a number of genetic biomarkers and environmental predispositions have been identified, in many cases the causes remain controversial and inconclusive at best. After controlling for variables contributing to potential bias, FGF7, SFRP4, and VCAM1 emerged as potential genetic biomarkers for single-suture craniosynostosis due to their significantly large changes in gene expression compared to the control population. Furthermore, pathway analysis implicated focal adhesion and extracellular matrix (ECM)-receptor interaction as differentially regulated gene networks when comparing all cases of single-suture synostosis and controls. Lastly, overall gene expression was found to be highly conserved between coronal and metopic cases, as evidenced by the fact that WNT2 and IGFBP2 were the only differentially regulated genes identified in a direct comparison. These results not only confirm the roles of previously reported craniosynostosis-related targets but also introduce novel genetic biomarkers and pathways that may play critical roles in its pathogenesis. In this study, gene expression data from 199 patients with isolated sagittal (n= 100), unilateral coronal (n = 50), and metopic (n = 49) synostosis are compared against both a control population (n = 50), as well as each other.

2012-03-04 | E-GEOD-27976 | biostudies-arrayexpress

Calvarial osteoblast transcriptome analysis identifies genetic targets and extracellular matrix-mediated focal adhesion as potential biomarkers for single-suture craniosynostosis

2012-03-04 | GSE27976 | GEO

Transcriptional analysis of human cranial compartments with different embryonic origins

Project description:Previous investigations suggest that the different embryonic origins of the calvarial tissues (neural crest or mesoderm) may account for the different molecular mechanisms underlying sutural development. The aim of this study was to evaluate the differences in the gene expression of human cranial tissues and assess the presence of an expression signature reflecting their embryonic origins. Using microarray technology, we investigated global gene expression of cells from the frontal and parietal bones and the metopic and sagittal intrasutural mesenchyme (ISM) of four human fetal calvaria. Tissues samples were obtained from fetal crania of 4 normal human fetuses (two females ages 94 and 103 days and two males ages 97 and 98 days). All dural and extracranial soft tissues were removed from the parietal and frontal bones. 2-3 mm tissue compartments were excised from frontal and parietal bones and metopic and sagittal ISM. To avoid contamination with osteoblasts, ISM tissue was dissected from the central portion of each suture. Similarly, bone was harvested at least 3mm from the margin of the suture to avoid contamination with ISM. Media was changed every 3-4 days. After reaching 75-80% confluence, the cells were trypsinized with TrypLEExpress (Life Technologies, Denmark) and passaged. During the fourth and final passage, 180,000 cells were plated in triplicate in 6-well plates and cultured for 5 days followed by RNA extraction.

2015-08-03 | E-GEOD-62816 | biostudies-arrayexpress

Gene Expression Changes Between Patent and Fused Cranial Sutures in a Nonsyndromic Craniosynostosis Population

Project description:Assaying gene expression in sutural bone fragments from patients diagnosed with non-syndromic craniosynostosis. Sutural fragments were collected from both the fused and patent cranial suture of infants during cranial vault reconstruction. Gene expression was compared between the patent and fused sutures using the paired t-test. The aim was to identify thoses genes significantly differentially expressed in fused suture relative to patent. Total RNA isolated from patent and fused human cranial sutures was assayed. Expression in synostosed suture was compared to patent suture.

2013-09-12 | E-GEOD-50796 | biostudies-arrayexpress

Modifiers and Mediators of Craniosynostosis Severity Revealed by Differential Gene Expression

Project description:Severity of craniosynostosis in humans varies widely even in patients with identical genetic mutations, and severity corresponds with morbidity. In this study we compared RNA sequencing data from cranial tissues of a severe form of Crouzon craniosynostosis syndrome (C57BL/6 FGFR2C342Y/+ mice) with those of a less severe form of Crouzon craniosynostosis (BALB/c FGFR2C342Y/+ mice) to identify genetic modifiers that influence craniosynostosis phenotype severity. Comparison of the mice revealed neonatal onset of coronal suture fusion in the form of suture obliteration in C57BL/6 mice (88% incidence, p<.001 between genotypes) in C57BL/6 mice. Coronal suture fusion in the form of point fusions across the suture occurred at approximately 4 weeks after birth, with less severe skull shape abnormalities, in BALB/c mice. Substantially fewer genes were differentially expressed in BALB/c FGFR2+/+ vs. FGFR2C342Y/+ mice (87 out of 15,893 expressed genes) than in C57BL/6 FGFR2C+/+ vs. FGFR2C342Y/+ mice (2,043 out of 19,097 expressed genes). Further investigation of the gene expression data revealed differential expression of coronal suture associated genes, eph/ephrin boundary genes, cell proliferation genes and osteoblast differentiation genes, among others. The most striking pattern in the data was the minimal change in gene expression seen in BALB/c FGFR2+/+ vs. FGFR2C342Y/+ mice. Analysis of protein processing and lysosomal components support the hypothesis that the craniosynostosis phenotype is less severe in BALB/c mice because the mutant FGFR2C342Y protein is not expressed to the same extent as that seen in C57BL/6 mice. Together, these results suggest that a strategy aimed at increasing degradation of the mutant receptor could lead to diminished phenotype severity.

2020-01-15 | GSE143628 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data