LCM-RNA-Seq data obtained from Xenopus tropicalis chondrocytes and osteoblasts
Ontology highlight
ABSTRACT:
ORGANISM(S): Xenopus tropicalis
PROVIDER: GSE231325 | GEO | 2023/05/01
REPOSITORIES: GEO
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Project description:LCM-RNA-Seq data obtained from chick HH36 chondrocytes and osteoblasts at different stages of differentiation -immature chondrocytes and mature (hypertrophic) chondrocytes- isolated from the head (ceratobranchial) and limb (humerus).
2021-11-30 | GSE186980 | GEO
Project description:LCM-RNA-Seq data obtained from chick HH36 chondrocytes and osteoblasts
| PRJNA777119 | ENA
Project description:Schittler2010 - Cell fate of progenitor cells, osteoblasts or chondrocytes
Mathematical model describing the mechanism of differentiation of mesenchymal stem cells to bone (osteoblasts) or cartilage (chondrocytes) cells.
This model is described in the article:
Cell differentiation modeled via a coupled two-switch regulatory network.
Schittler D, Hasenauer J, Allgöwer F, Waldherr S.
Chaos 2010 Dec; 20(4): 045121
Abstract:
Mesenchymal stem cells can give rise to bone and other tissue cells, but their differentiation still escapes full control. In this paper we address this issue by mathematical modeling. We present a model for a genetic switch determining the cell fate of progenitor cells which can differentiate into osteoblasts (bone cells) or chondrocytes (cartilage cells). The model consists of two switch mechanisms and reproduces the experimentally observed three stable equilibrium states: a progenitor, an osteogenic, and a chondrogenic state. Conventionally, the loss of an intermediate (progenitor) state and the entailed attraction to one of two opposite (differentiated) states is modeled as a result of changing parameters. In our model in contrast, we achieve this by distributing the differentiation process to two functional switch parts acting in concert: one triggering differentiation and the other determining cell fate. Via stability and bifurcation analysis, we investigate the effects of biochemical stimuli associated with different system inputs. We employ our model to generate differentiation scenarios on the single cell as well as on the cell population level. The single cell scenarios allow to reconstruct the switching upon extrinsic signals, whereas the cell population scenarios provide a framework to identify the impact of intrinsic properties and the limiting factors for successful differentiation.
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2013-11-19 | BIOMD0000000493 | BioModels
Project description:Osteoarthritis (OA) is the most common joint disease and this is a major cause of joint pain and disability in the aging population. Its etiology is multifactorial (i.e., age, obesity, joint injury, genetic predisposition), and the pathophysiologic process affects the entirety of the joint (Martel-Pelletier J et al. Osteoarthritis. Nature reviews Disease primers. 2016;2:16072). Although it is not yet clear if it precedes or occurs subsequently to cartilage damage, subchondral bone sclerosis is an important feature in OA pathophysiology (Goldring SR et al. Changes in the osteochondral unit during osteoarthritis: structure, function and cartilage-bone crosstalk. Nat Rev Rheumatol. 2016;12:632-44). It is characterized by local bone resorption and the accumulation of weakly mineralized osteoid substance (Bailey AJ et al. Phenotypic expression of osteoblast collagen in osteoarthritic bone: production of type I homotrimer. Int J Biochem Cell Biol. 2002;34:176-82). Subchondral bone sclerosis is suspected to be linked to cartilage degradation, not only by modifying the mechanical stresses transmitted to the cartilage, but also by releasing biochemical factors with an activity on cartilage metabolism (Sanchez C et al. Osteoblasts from the sclerotic subchondral bone downregulate aggrecan but upregulate metalloproteinases expression by chondrocytes. This effect is mimicked by interleukin-6, -1beta and oncostatin M pre-treated non-sclerotic osteoblasts. Osteoarthritis Cartilage. 2005;13:979-87; Sanchez C et al. Subchondral bone osteoblasts induce phenotypic changes in human osteoarthritic chondrocytes. Osteoarthritis Cartilage. 2005;13:988-97; Westacott CI et al J. Alteration of cartilage metabolism by cells from osteoarthritic bone. Arthritis Rheum. 1997;40:1282-91. We have previously demonstrated that osteoblasts isolated from subchondral OA bone exhibited an altered phenotype. More precisely, we showed that osteoblasts coming from the thickening (called sclerotic, SC) of subchondral bone located just below a cartilage lesion produced higher levels of alkaline phosphatase, interleukin (IL)-6, IL-8, prostaglandinE2, vascular endothelial growth factor (VEGF), matrix metalloproteinase (MMP)-9 and transforming growth factor(TGF)-β1 and type I collagen than osteoblasts coming from the non-thickening neighboring area (called non-sclerotic area, NSC) (Sanchez C et al. Phenotypic characterization of osteoblasts from the sclerotic zones of osteoarthritic subchondral bone. Arthritis Rheum. 2008;58:442-55; Sanchez C et al. Regulation of subchondral bone osteoblast metabolism by cyclic compression. Arthritis Rheum. 2012;64:1193-203.) To compare secretome of cells living in different in vivo conditions is useful, not only to better understand the pathological mechanisms underlying changes in OA subchondral bone, but also to identify soluble biomarkers potentially reflecting these changes. Using our well-characterised human subchondral osteoblast culture model, we compared the secretome of osteoblasts coming from sclerotic and non sclerotic OA subchondral bone. This approach allowed to identify changes in secretome that contribute to explain some subchondral bone abnormalities in OA and to propose osteomodulin and fibulin-3 as potential biomarkers of OA subchondral bone remodelling.
2018-03-20 | PXD008494 | Pride
Project description:Candida tropicalis is an opportunistic pathogen which causes candidiasis in immune-compromised individuals. It is one of the members of the non-albicans group of Candida that are known to be azole resistant and is frequently seen in individuals being treated for cancers, HIV-infection and bone-marrow transplant. Although the genome of C. tropicalis was sequenced in the year 2009, the genome annotation has not been supported by experimental validation. In the present study, we have carried out in-depth proteomic profiling of C. tropicalis using high-resolution Fourier transform mass spectrometry and mapped ~44% of the computationally predicted protein-coding genes with peptide level evidence. In addition to identifying 2,740 proteins in the cell lysate of this yeast, we also analysed the proteome of the conditioned media of C. tropicalis culture and identified several unique secreted proteins among a total of 780 proteins. By subjecting the mass spectrometry data derived from cell lysate and conditioned media to proteogenomic analysis, we identified 86 novel genes, 12 novel exons and corrected 49 computationally predicted gene models. To our knowledge, this is the first high-throughput proteomic study to refine the genome annotation of C. tropicalis.
2017-05-08 | PXD001071 | Pride
Project description:An ex vivo protocol was optimized to expose testis tissues from juvenile Silurana tropicalis to 5 uM finasteride. Testis tissues were incubated in L-15 media with (n = 8) and without (n = 8) finasteride for 6 h at 26 °C on top of an orbital shaker. Afterwards, the tissues were flash frozen on dry ice and RNA was isolated using Trizol. The isolated RNA of four control tissue samples and four finasteride exposed tissue samples were then analyzed using a custom microarray for S. tropicalis containing 44,000 probes .
2014-04-01 | GSE46366 | GEO
Project description:The purpose of this study is to obtain comprehensive gene expression profiles in breast cancer. Mammary gland cells were specifically isolated from 433 clinical tissue samples by laser capture microdissection (LCM). Total RNAs were extracted from LCM captured samples. We investigated gene expression profiles in 417 patients with breast cancer and 16 non-tumor tissues as a normal control using an Affymetrix GeneChip.
2014-09-16 | GSE54002 | GEO
Project description:Tumor epithelium and surrounding stromal cells were isolated using laser capture microdissection of human breast cancer to examine differences in gene expression based on tissue types from inflammatory and non-inflammatory breast cancer Keywords: LCM
2007-09-30 | GSE5847 | GEO
Project description:High ploidy large cytoplasmic megakaryocytes (LCM) are critical negative regulators of hematopoietic stem cells (HSC) and are responsible for platelet formation. Using a mouse knockout model with normal megakaryocyte numbers but essentially devoid of LCM (MK-LCM KO), we demonstrated a pronounced increase in bone marrow HSC concurrent with endogenous mobilization and extramedullary hematopoiesis. When HSC isolated from a MK-LCM KO microenvironment were transplanted in lethally irradiated mice, the absence of LCM increased HSC in BM, blood and spleen. Severe thrombocytopenia was observed in animals with diminished LCM, although there was no change in megakaryocyte ploidy distribution. In contrast, WT HSC-generated LCM regulated a normal HSC pool and prevented thrombocytopenia. The present label-free quantitative LC-MSMS data was used to determine proteins that are differentially expressed in bone marrow cells of MK-LCM WT versus MK-LCM KO mice.
2023-05-10 | PXD040423 | Pride
Project description:We have analyzed the transcript expression in different LCM-dissected cell layers isolated from mouse retinas adapted to light or dark in order to identify transcripts potentially targetted by retinal microRNAs which are regulated in response to light treatment
2010-02-19 | GSE20396 | GEO