Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-8977
PROVIDER: PRJNA102435 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We hypothesized that miRNAs in the bone maroow mesenchymal stem cells (BM-MSC)-derived exosomes contributed to the phenotype change of breast cancer cells through exosome transfer. We analyzed the miRNA expression signature in BM-MSC-derived exosomes. We compared the miRNA expression levels in exosomes between BM-MSCs and adult fibroblasts (as a control). In this study, miRNA expression including in bone-marrow mesenchymal cell (BM-MSC)-derived exosomes was examined, and compared with that of exosomes derived from adult fibroblast cells or the BM-MSC cells. In addition, miRNA expression of BM-MSC exosomes was also compared with that of breast cancer cells with or without cancer stem cell marker.
2014-07-03 | E-GEOD-58027 | biostudies-arrayexpress
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000795 | BioModels
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000793 | BioModels
Project description:Estrogen receptor (ER)-positive luminal breast cancer is a subtype with generally lower risk of metastasis to most distant organs. However, bone recurrence occurs preferentially in luminal cancer. The mechanisms of the subtype-specific organotropism remain elusive. Here we show that an ER-regulated secretory protein SCUBE2 contributes to bone tropism of luminal breast cancer. Single-cell RNA sequencing analysis reveals osteoblastic enrichment by SCUBE2 in early bone-metastatic niches. SCUBE2 facilitates release of tumor membrane-anchored SHH to activate Hedgehog signaling in mesenchymal stem cells, thus promoting osteoblast differentiation. Osteoblasts deposit collagens to suppress NK cells via the inhibitory LAIR1 signaling and promote tumor colonization. SCUBE2 expression and secretion are associated with osteoblast differentiation and bone metastasis in human tumors. Targeting Hedgehog by Sonidegib and targeting SCUBE2 with a neutralizing antibody both effectively suppress bone metastasis in multiple metastasis models. Overall, our findings provides an explanation for bone preference in luminal breast cancer and new approaches for metastasis treatment.
2023-04-15 | GSE186230 | GEO
Project description:Growing evidence indicates that tumor-associated stroma plays a negative role in human colorectal cancer (CRC). Nature of specific stromal cell populations involved and mechanisms underlying their negative impact remain to be fully understood. In this study we describe the expansion from human primary CRCs of a mesenchymal cell population, referred to as tumor-associated stromal cells (TASCs), resembling bone marrow-derived mesenchymal stem cells (BM-MSCs) in morphology, phenotypes and differentiation potential. We found that, upon co-culture with tumor cells, TASCs acquire membrane-bound TGF-mbTGF-expression, a phenomenon mediated by v6 integrin. MbTGF-expression proved to be critical for triggering epithelial-to-mesenchymal transition (EMT) in tumor cells, eventually leading to enhanced dissemination of circulating tumor cells and increased metastasis formation, in an orthotopic mouse model. Our data identify CRC-associated mesenchymal stem-like cells as critical EMT initiators and suggest mbTGF- as potential novel therapeutic target.
2022-05-19 | PXD005796 | Pride
Project description:Epithelial-mesenchymal transition (EMT)/mesenchymal-epithelial transition (MET) processes are proposed to be a driving force of cancer metastasis. By studying metastasis in bone marrow-derived mesenchymal stem cell (BM-MSC)-driven lung cancer models, microarray time-series data analysis by systems biology approaches revealed BM-MSC-induced signaling triggers early dissemination of CD133+/CD83+ cancer stem cells (CSCs) from primary sites shortly after STAT3 activation but promotes proliferation towards secondary sites. The switch from migration to proliferation was regulated by BM-MSC-secreted LIF and activated LIFR/p-ERK/pS727-STAT3 signaling to promote early disseminated cancer cells MET and premetastatic niche formation. Then, tumor-tropic BM-MSCs circulated to primary sites and triggered CD151+/CD38+ cells acquiring EMT-associated CSC properties through IL6R/pY705-STAT3 signaling to promote tumor initiation and were also attracted by and migrated towards the premetastatic niche. In summary, STAT3 phosphorylation at tyrosine 705 and serine 727 differentially regulates the EMT-MET switch within the distinct molecular subtypes of CSCs to complete the metastatic process.
2020-10-01 | GSE158824 | GEO
Project description:2D IDA protein quantitation of mesenchymal stem cells derived from bone
marrow across five donors. A total of 10 2D LC-MS runs were performed, using cells both not stimulated and following a 20 hour treatment with interferon gamma.
2017-04-05 | MSV000080890 | MassIVE
Project description:Extracellular purines promote the differentiation capacity of human bone marrow-derived mesenchymal stem cells
| PRJNA158965 | ENA
Project description:A mesenchymal rich stroma such as cancer-associated fibroblasts (CAFs) in breast tumors favors the selection of cancer clones with enhanced bone metastatic ability. To determine the cancer cell transcriptomic response to the mesenchymal stroma, we supplemented experimental mammary tumours with or without exogenous mesenchymal cells. We used bone marrow-derived human mesenchymal stem cells (MSCs) as a source of mesenchymal stroma, as MSCs have been shown to undergo CAF-like differentiation. We engineered the cancer cells to express an EGFP-tagged version of ribosomal protein L10a (EGFP-L10a). This allows the retrieval of cancer cell specific transcripts rapidly from whole tumor lysates by translating ribosome affinity purification (TRAP) and direct profiling of cancer cell gene expression patterns when they are in situ.
2013-11-01 | GSE43306 | GEO
Project description:A mesenchymal rich stroma such as cancer-associated fibroblasts (CAFs) in breast tumors favors the selection of cancer clones with enhanced bone metastatic ability. To determine the cancer cell transcriptomic response to the mesenchymal stroma, we supplemented experimental mammary tumours with or without exogenous mesenchymal cells. We used bone marrow-derived human mesenchymal stem cells (MSCs) as a source of mesenchymal stroma, as MSCs have been shown to undergo CAF-like differentiation. We engineered the cancer cells to express an EGFP-tagged version of ribosomal protein L10a (EGFP-L10a). This allows the retrieval of cancer cell specific transcripts rapidly from whole tumor lysates by translating ribosome affinity purification (TRAP) and direct profiling of cancer cell gene expression patterns when they are in situ. EGFP-10a+ MDA-MB-231 cells were orthotopically injected into the mammary fat pad with or without 1:1 ratio of MSCs. The mammary tumors were retrieved for TRAP-RNAseq profiling after 3 weeks.
2013-11-01 | E-GEOD-43306 | biostudies-arrayexpress