HSC-3 cells (control) vs. HSC-3-5 cells [cell line]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE39723 | GEO | 2013/08/13
SECONDARY ACCESSION(S): PRJNA171613
REPOSITORIES: GEO
Similar Datasets
Project description:HSC-3-5 cells were derived from human HSC-3 cells via transwell invasion assay. Transcriptional profiling of human HSC-3 cells comparing with high invasive HSC-3-5 cells. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis. Two-condition experiment, HSC-3 vs. HSC-3-5 cells.
2013-08-13 | E-GEOD-39723 | biostudies-arrayexpress
Project description:HSC-3-5 cells, which drived from human HSC-3 cells via transwell invasion assay was high invasive.Tumor cells were injected into the tongue of SCID mice. After 1 week, transcriptional profiling of human HSC-3 tumor comparing with high invasive HSC-3-5 tumor. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis.
2013-08-13 | GSE39725 | GEO
Project description:HSC-3-5 cells, which drived from human HSC-3 cells via transwell invasion assay was high invasive.Tumor cells were injected into the flank of SCID mice. After 6 weeks, transcriptional profiling of human HSC-3 tumor comparing with high invasive HSC-3-5 tumor. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis.
2013-08-13 | GSE39726 | GEO
Project description:HSC-3-5 cells, which drived from human HSC-3 cells via transwell invasion assay was high invasive.Tumor cells were injected into the tongue of SCID mice. After 1 week, transcriptional profiling of human HSC-3 tumor comparing with high invasive HSC-3-5 tumor. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis. HSC-3 and HSC-3-5 oral cancer cells were respectively injected into the tongue of SCID mice. After 1 weeks, total RNA was respectively extracted from the tumor tissue on tongue of SCID mice for gene expression profiling during metastasis. Briefly, two-condition experiment,HSC-3 vs. HSC-3-5 cells.
2013-08-13 | E-GEOD-39725 | biostudies-arrayexpress
Project description:HSC-3-5 cells, which drived from human HSC-3 cells via transwell invasion assay was high invasive.Tumor cells were injected into the flank of SCID mice. After 6 weeks, transcriptional profiling of human HSC-3 tumor comparing with high invasive HSC-3-5 tumor. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis. HSC-3 and HSC-3-5 oral cancer cells were respectively injected into the flank and tongue of SCID mice. After 1 and 6 weeks, total RNA was respectively extracted from the tumor tissue on tongue and flank of SCID mice for gene expression profiling during metastasis. Briefly, two-condition experiment,HSC-3 vs. HSC-3-5 cells.
2013-08-13 | E-GEOD-39726 | biostudies-arrayexpress
Project description:HSC-3-5 cells were derived from human HSC-3 cells via transwell invasion assay. Transcriptional profiling of human HSC-3 cells comparing with high invasive HSC-3-5 cells. Goal was to determine the effects of invasion on global HSC-3-5 gene expression during tumor metastasis. Two-condition experiment, HSC-3 vs. HSC-3-5 cells.
| S-ECPF-GEOD-39723 | biostudies-other
Project description:A lung cancer cell model of invasive transformation was developed to select progressively invasive cell populations from a parental cell line of human lung adenocarcinoma, CL1. Five progressive sub-clones namely, CL1-1, CL1-2, CL1-3 CL1-4, and CL1-5 were selected using transwell and displayed increasing invasion potential (Chu et al, 1997). Here, we used microarrays to analyze and compare gene expression profiles between CL1-0 and CL1-5 for the identification of invasion/metastasis associated gene signatures.
2012-12-11 | GSE42407 | GEO
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: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:A lung cancer cell model of invasive transformation was developed to select progressively invasive cell populations from a parental cell line of human lung adenocarcinoma, CL1. Five progressive sub-clones namely, CL1-1, CL1-2, CL1-3 CL1-4, and CL1-5 were selected using transwell and displayed increasing invasion potential (Chu et al, 1997). Here, we used microarrays to analyze and compare gene expression profiles between CL1-0 and CL1-5 for the identification of invasion/metastasis associated gene signatures. CL1-0 and CL1-5 lung cancer cell lines were used for RNA extraction and hybridization on Affymetrix microarrays. A total of 6 chips were used for microarray analysis including three biological repeats from CL1-0 and three biological repeats from CL1-5.
2012-12-11 | E-GEOD-42407 | biostudies-arrayexpress