Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile of A549 Circulating Tumor Cells from 4D Model.

ABSTRACT: CTCs in cancer patients are thought to be responsible for metastasis. Currently, there is no ex vivo model that can isolate this group of cells. We have developed an ex vivo 4D lung cancer model that forms perfusable tumor nodules and form CTCs. Gene array analyses show 2504 differentially expressed genes when comparing CTCs from the 4D model seeded with A549 cells to the same cells grown on a petri dish (2D). We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, human lung cancer cell line, grown on petri dish (2D) and same cells circulating as tumor cells in our ex vivo model (4D/CTC).

ORGANISM(S): Homo sapiens

SUBMITTER: Chad Creighton

PROVIDER: E-GEOD-50991 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Ex vivo four-dimensional lung cancer model mimics metastasis.

Mishra Dhruva K DK Creighton Chad J CJ Zhang Yiqun Y Chen Fengju F Thrall Michael J MJ Kim Min P MP

The Annals of thoracic surgery 20150218 4

<h4>Background</h4>We have developed a four-dimensional (4D) lung cancer model that forms perfusable tumor nodules. We determined if the model could be modified to mimic metastasis.<h4>Methods</h4>We modified the 4D lung cancer model by seeding H1299, A549, or H460 cells through the trachea only to the left lobes of the acellular lung matrix. The model was modified so that the tumor cells can reach the right lobes of the acellular lung matrix only through the pulmonary artery as circulating tumo ...[more]

PMID: 25701100

Similar Datasets

Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

Project description:Tumor microenvironment plays an important role in regulating cell growth and metastasis. Recently we developed an ex vivo lung cancer model (4D) that forms perfusable tumor nodules on a lung matrix that mimics human lung cancer histopathology and protease secretion pattern. We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, a human lung cancer cell line, grown on petri dish (2D), and of the same cells grown in the matrix of our ex vivo model (4D). Furthermore, we obtained gene expression data of A549 cells grown on petri dish (2D) and matrigel (3D) from a previous study and compared the 3D expression profile with that of 4D. Expression array analysis showed 2954 genes differentially expressed between 2D and 4D. Gene Ontology (GO) analysis showed up-regulation of several genes associated with extracellular matrix, polarity, and cell fate and development. Moreover, expression array analysis of 2D versus 3D showed 269 genes that were most differentially expressed, with only 35 genes (13%) having similar expression patterns as observed between 2D and 4D. Finally, the differential gene expression signature of 4D cells (versus 2D) correlated significantly with poor survival in patients with lung cancer (n=1492), while the expression signature of 3D versus 2D correlated with better survival in lung cancer patients. Since patients with larger tumors tend to have worse survival, the ex vivo 4D model may offer additional features over the 3D model, to better mimic of natural progression of tumor growth in lung cancer patients. We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, human lung cancer cell line, grown on petri dish (2D) and same cells grown in the matrix of our ex vivo model (4D).

2013-09-16 | E-GEOD-45142 | biostudies-arrayexpress

Gene expression profile of A549 Circulating Tumor Cells from 4D Model.

Project description:CTCs in cancer patients are thought to be responsible for metastasis. Currently, there is no ex vivo model that can isolate this group of cells. We have developed an ex vivo 4D lung cancer model that forms perfusable tumor nodules and form CTCs. Gene array analyses show 2504 differentially expressed genes when comparing CTCs from the 4D model seeded with A549 cells to the same cells grown on a petri dish (2D).

2015-03-12 | GSE50991 | GEO

Gene Expression Profile of H1299 Cells from Tissue of 4D Model

Project description:We have developed a 4D lung cancer model that forms perfusable tumor nodules. We determined if the model could be modified to mimic metastasis. We modified the 4D lung cancer model by seeding H1299 cells via the trachea only to the left lobes of the acellular lung matrix. The model was modified so that the tumor cells can reach the right lobes of the acellular lung matrix only through the pulmonary artery as circulating tumor cells (CTC). We determined the gene expressions of the primary tumor, CTCs, and metastatic lesions using the Human OneArray chip. All cell lines formed a primary tumor in the left lobe of the ex vivo 4D lung cancer model. The CTCs were identified in the media and increased over time. The CTC gene signature predicted poor survival in lung cancer patients. A unique set of genes were significantly expressed in CTC compared to the primary tumor and metastatic lesion. The 4D lung cancer model can isolate tumor cells in three phases of tumor progression. This 4D lung cancer model may mimic the biology of lung cancer metastasis and may be used to determine its mechanism and potential therapy in the future.

2015-03-12 | GSE58355 | GEO

A small molecule screen identified N-Acetyl-L-cysteine for promoting ex vivo growth of single circulating tumor cell

Project description:CTCs contain a small subset of metastatic precursors that can form metastases in secondary organs, and provide a resource to identify mechanisms underlying metastasis-initiating properties. Despite technological advancements that allow for highly sensitive approaches of detection and isolation, CTCs are very rare and often present as single cells, posing an extreme challenge for ex vivo expansion after isolation. Here, using previously established patient-derived CTC lines, we performed a small molecule drug screening to identify compounds that can improve ex vivo culture efficiency for single CTCs. We found that N-acetylcysteine (NAC) and other antioxidants can promote ex vivo expansion of single CTCs, facilitating subsequent functional analyses.

2022-07-07 | GSE134138 | GEO

Chronic Aicar Treatment Identifies Sex-specific Phenotypes in the Aging Mouse Heart

Project description:Heart failure represents a leading cause of mortality in the elderly population. Although aging features include diastolic dysfunction and interstitial fibrosis in both males and females, it becomes increasingly apparent that aged male and female hearts are phenotypically different. There were fundamental differences in extracellular matrix (ECM) composition and architecture and heart function indices at the baseline, which were further accentuated by Aicar treatment. By combining in vivo, ex vivo, and in vitro strategies, we demonstrated that there are sex-specific features that influence the response to pharmacological intervention in the aging mouse heart.

2022-06-23 | PXD031223 | Pride

A Defective Extracellular Matrix/Kindlin-2/Actin/ERK Mechanosensing Pathway Affects Fibroblast-To-Myofibroblast Transition in the Old Male Heart

2023-07-11 | PXD041660 | Pride

Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

2013-09-16 | GSE45142 | GEO

Molecular interplay between dormant bone marrow-resident cells (BMRCs) and CTCs in breast cancer.

Project description:Despite widespread knowledge that bone marrow-resident breast cancer cells (BMRCs) affect tumor progression, signaling mechanisms of BMRCs implicated in maintaining long-term dormancy have not been characterized. To overcome these hurdles, we developed a novel experimental model of tumor dormancy employing circulating tumor cells (CTCs) derived from metastatic breast cancer patients (de novo CTCs), transplanted them in immunocompromised mice, and re-isolated these cells from xenografted mice bone marrow (ex vivo BMRCs) and blood (ex vivo CTCs) to perform downstream transcriptomic analyses. Here we report that the balance between mTORC1 vs mTORC2 signaling regulates BMRC mitotic and/or dormancy characteristics.

2020-05-15 | GSE150624 | GEO

RNA-Seq of ex vivo culture of circulating breast tumor cells

Project description:Analyses of circulating tumor cells (CTC) cultured from blood of patients with cancer may allow individualized testing for susceptibility to therapeutic regimens. We established ex vivo cultures of CTCs from six patients with metastatic estrogen receptor-positive breast cancer and performed RNA-Seq on those cultures. One sample each from six metastatic estrogen receptor positive breast cancer patients

2014-07-11 | E-GEOD-55807 | biostudies-arrayexpress

Expression analysis of Reh cells after transfection with constitutively active variants of IRF5 (IRF5-4D) and/or constitutively active IKKÎ²(EE)

Project description:Genome-wide gene expression analysis of Reh cells following transfection with constitutively active IRF5-4D, constitutively active IKKÎ²(EE), or both in combination. Affymetrix U133 Plus 2.0 oligonucleotide arrays were hybridized to determine the gene expression profile of acute lymphoblastic leukemia-derived Reh cells following transfection with i) control constructs, ii), a constitutively active variant of IRF5 (IRF5-4D), iii) a constitutively active variant of the IkB kinase Î² (IKKÎ²(EE)), or iv) IRF5-4D in combination with IKKÎ²(EE). All hybridizations were done in biological duplicates.

2014-09-24 | E-GEOD-51717 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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