Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from human fibroblasts

ABSTRACT: Cancer cells interact with surrounding stromal fibroblasts during tumorigenesis, but the complex molecular rules that govern these interactions remain poorly understood, thus hindering the development of therapeutic strategies to target cancer stroma. We have taken a mathematical approach to begin defining these rules by performing large-scale quantitative analysis of fibroblast effects on cancer cell proliferation across more than four hundred heterotypic cell line pairings. Systems-level modeling of this complex dataset using singular value decomposition revealed that normal tissue fibroblasts variably express at least two functionally distinct activities, one which reflects transcriptional programs associated with activated mesenchyme, that act either coordinately or at cross-purposes to modulate cancer cell proliferation. To gain insight into the molecular identity of these fibroblast activities, we isolated RNA from 36 human skin and lung fibroblast cell line monocultures from Coriell Repositories or ATCC and performed microarray-based gene expression profiling using Affymetrix gene chips.

ORGANISM(S): Homo sapiens

PROVIDER: GSE17032 | GEO | 2009/08/21

SECONDARY ACCESSION(S): PRJNA117797

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of human fibroblasts

Project description:Cancer cells interact with surrounding stromal fibroblasts during tumorigenesis, but the complex molecular rules that govern these interactions remain poorly understood, thus hindering the development of therapeutic strategies to target cancer stroma. We have taken a mathematical approach to begin defining these rules by performing large-scale quantitative analysis of fibroblast effects on cancer cell proliferation across more than four hundred heterotypic cell line pairings. Systems-level modeling of this complex dataset using singular value decomposition revealed that normal tissue fibroblasts variably express at least two functionally distinct activities, one which reflects transcriptional programs associated with activated mesenchyme, that act either coordinately or at cross-purposes to modulate cancer cell proliferation. To gain insight into the molecular identity of these fibroblast activities, we isolated RNA from 36 human skin and lung fibroblast cell line monocultures from Coriell Repositories or ATCC and performed microarray-based gene expression profiling using Affymetrix gene chips. Experiment Overall Design: Human skin and lung fibroblasts purchased from Coriell Repositories or ATCC were grown using standard cell culture conditions followed by flash freezing in liquid nitrogen, RNA isolation using Qiagen RNeasy kits, and microarray profiling

2009-09-17 | E-GEOD-17032 | biostudies-arrayexpress

Transcription profiling of human fibroblasts and lymphoblastoid cells derived from individuals with Bipolar disorder vs. unaffected

Project description:Fibroblasts and lymphoblastoid cells (LCLs) are the most widely used cells in genetic, genomic, and transcriptomic studies in relation to human diseases. Examining the gene expression patterns in these two cell types will provide valuable information regarding the validity of using them to study gene expression related to various human diseases. Fibroblasts and LCLs from four members of the Old Order Amish family 884 were purchased from Coriell cell repositories (Coriell Institute for Medical Research, Camden, NJ). We used microarrays to profile the patterns of gene expression in these eight cell lines. By employing the PennCNV algorithm to the Illumina HumanHap550 SNP genotyping data, we detected 13 Copy Number Variants (CNV) that exist in these four individuals. CNV-expression association analysis revealed that seven of these 13 CNVs were associated with the expression of genes within or near (<2Mb sweep) these CNVs at a nominal regression P value of 0.05. Experiment Overall Design: Fibroblast GM05930 and LCL GM05931 were from individual GM05930/5931, fibroblast GM05932 and LCL GM05933 were from individual GM05932/5933, fibroblast GM05934 and LCL GM05935 were from individual GM05934/5935, fibroblast GM05936 and LCL GM05937 were from individual GM05936/5937. These four individuals are siblings within a large sibship; two of them (GM05932/5933 and GM05934/5935) have bipolar type I disorder (BPI). Five Î¼g of total RNA from each cell line was subjected to microarray experiments using HG U133A 2.0 Array (Affymetrix, Santa Clara, CA). Affymetrix Microarray Suite 5.0 was used to quantitate expression levels and assign Calls (Flags of present, marginal, and absent) for each probe set. The CEL files were used to generate normalized expression data that were corrected by the GCRMA algorithm in GeneSpring7.2.

2008-10-20 | E-GEOD-11767 | biostudies-arrayexpress

Gene expression profiling of fibroblasts and lymphoblastoid cells derived from four individuals

2008-06-13 | GSE11767 | GEO

Natural gene expression variation in the HapMap CEU and YRI samples

Project description:B lymphoblastoid cell lines were obtained from Coriell Cell Repositories. Cell lines were grown according to Coriell guidelines and total RNA was extracted, labeled, and hybridized to an Affymetrix Human Genome Focus Array as previously described. We found extensive variation in gene-expression levels and estimate that ~83% of genes are differentially expressed among individuals and that ~17% of genes are differentially expressed among populations. By decomposing total gene-expression variation into within- versus among-population components, we find that most expression variation is due to variation among individuals rather than among populations, which parallels observations of extant patterns of human genetic variation. Keywords: resting expression levels in B lymphoblastoid cell lines

2007-03-14 | GSE7236 | GEO

System-Wide Analysis Reveals a Complex Network of Tumor-Fibroblast Interactions Involved in Tumorigenicity

Project description:Weâve undertaken a genome-wide approach to identify and test genes in fibroblasts that are both induced upon interaction with basal breast cancer cells in culture and upregulated in stromal cells from primary human breast cancers. Several of the upregulated genes encode secreted growth factors or cytokines. Using RNAi and a co-injection tumorigenicity assay, we determined that the majority of secreted factors selected for functional validation played significant, yet functionally diverse, roles in promoting tumorigenicity. Rather than a single major mediator, these results indicate multiple points of intervention to prevent fibroblasts from supporting basal breast cancer. Additionally, we show that breast cancer subtypes differ markedly in the expression of these and other stromally secreted proteins using data from microdissected stromal samples. Induction of genes in four different fibroblast strains (HFFF2, HFF1, CCD1112Sk and Wi38) upon coculture with Cal51 and MDAMB231 human basal breast cancer cell lines. Monocultures of each group are used as the experimental control with each group having 3-4 independent biological replicates.

2013-11-21 | E-GEOD-41678 | biostudies-arrayexpress

Transcriptional profiling of human serotonergic neurons in vitro

Project description:Human serotonergic neurons are derived using published transdifferentiation protocols. Human Fibroblasts correspond to human fibroblasts (from Line#1, Coriell bought (AG08498)). Samples labeled human neurons or induced neurons (iN) correspond to neurons transdifferentiated from fibroblasts using two transcription factors, as previously described (#1-AG08498 or #2:ERF-1, Erlangen Germany, a line given to us by collaborators) into primarily glutamatergic neruons. Samples labled 5-HT neurons or serotonergic neurons or iSN correspond to serotonergic neurons derived from the stated fibroblast lines, using an additional four transcription factors. For transdifferentiation of iN and iSN, fibroblasts were made to overexpress the stated transcription factors in a doxycycline inducible manner for up to 3 weeks, and then neurons are sorted out and collected directly into Trizol for RNA preparation and sequencing. The non-transdifferentiated fibroblast lines were collected in bulk withtout differentiation into neurons. The line number corresponds to the same fibroblast line either being transdifferentiated into iN or iSN, as labeled - for direct and groupwise comparison.

2016-02-02 | E-MTAB-3680 | biostudies-arrayexpress

Transcription profiling of human lymphoblastoid cell lines to assess variation in the HapMap CEU and YRI samples

Project description:B lymphoblastoid cell lines were obtained from Coriell Cell Repositories. Cell lines were grown according to Coriell guidelines and total RNA was extracted, labeled, and hybridized to an Affymetrix Human Genome Focus Array as previously described. We found extensive variation in gene-expression levels and estimate that ~83% of genes are differentially expressed among individuals and that ~17% of genes are differentially expressed among populations. By decomposing total gene-expression variation into within- versus among-population components, we find that most expression variation is due to variation among individuals rather than among populations, which parallels observations of extant patterns of human genetic variation. Experiment Overall Design: We used microarrays to survey patterns of natural gene expression variation in 16 HapMap individuals derived from the CEU and YRI samples.

2008-06-15 | E-GEOD-7236 | biostudies-arrayexpress

Study of matrix proteins synthesized by DU145 and PC3 prostate cancer cells alone or in co-culture with prostate-derived fibroblasts.

Project description:Tumor microenvironment or stroma has the potency to regulate the behavior of malignant cells. Fibroblast-like cells are abundant in tumor stroma and they are also responsible for the synthesis of many extracellular matrix components. Fibroblast–cancer cell interplay can modify the functions of both cell types. We applied mass spectrometry and proteomics to unveil the matrisome in 3D spheroids formed by DU145 prostate cancer cells, PC3 prostate cancer cells or prostate derived fibroblasts. Similarly DU145/fibroblast and PC3/fibroblast co-culture spheroids were also analyzed. Western Blotting and immunofluorescence were used to confirm the presence of specific proteins in spheroids. Cancer dissemination was studied by utilizing "out of spheroids" migration and invasion assays. In the spheroid model cancer cell–fibroblast interplay caused remarkable changes in extracellular matrix and accelerated the invasion of DU145 cells. Fibroblasts produced structural matrix proteins, growth factors and matrix metalloproteinases. In cancer cell/fibroblast co-cultures basement membrane components, including laminins (3, 5, 2, 3), heparan sulphate proteoglycan (HSPG2 gene product), and collagen XVIII accumulated in a prominent manner when compared to spheroids that contained fibroblasts or cancer cells only. Furthermore, collagen XVIII was intensively processed to different endostatin isoforms by cancer cell derived cathepsin L. To sum up, fibroblasts can promote carcinoma cell dissemination by several different mechanisms. Extracellular matrix and basement membrane proteins provide attachment sites for cell locomotion promoting adhesion receptors. Growth factors and metalloproteinases are known to accelerate cell invasion. Additionally, cancer cell–fibroblast interplay generates biologically active fragments of basement membrane proteins, such as endostatin.

2020-05-04 | PXD016882 | Pride

Gene expression analysis of pancreatic cancer associated fibroblasts

Project description:Gene expression analysis of pancreatic cancer associated fibroblasts and control fibroblasts To identify signaling pathways important in tumor-stromal cell interactions, we performed gene expression profiling on pancreatic cancer associated fibroblast cultures and control fibroblast cultures using Affymetrix Exon arrays. We analyzed 3 control fibroblast cultures and 9 pancreatic cancer associated fibroblast cultures using the Affymetrix Human Exon 1.0 ST platform. Gene expression levels were compared using Partek (version 6.3beta).

2010-05-07 | E-GEOD-21440 | biostudies-arrayexpress

Proteome profiling of breast cancer biopsies reveals a wound healing signature of cancer-associated fibroblasts - primary mammary fibroblasts treated with IL1-beta

Project description:Breast cancer is still the most common type of cancer in women; an important role in carcinogenesis is actually attributed to cancer-associated fibroblasts. In this study we investigated whether it is possible to assess the functional state of cancer-associated fibroblasts through tumor tissue proteome profiling. Tissue proteomics was performed on tumor-central, tumor-near and tumor-distant biopsy sections from breast adenocarcinoma patients, which allowed us to identify 2074 proteins. Data were interpreted referring to reference proteome profiles generated from primary human mammary fibroblasts comprising 4095 proteins. These cells were analyzed in quiescent cell state, as well as after in vitro treatment with TGFβ or IL-1β, stimulating wound healing or inflammatory processes, respectively. Representative for cancer cells, we investigated the mammary carcinoma cell line ZR-75-1, identifying 5212 proteins. Comparison of tissue proteomics data with all those reference profiles revealed predominance of cancer cell-derived proteins within the tumor and fibroblast-derived proteins in the tumor-distant tissue sections. Remarkably, proteins characteristic for acute inflammation were hardly identified in the tissue samples. In contrast, several proteins found by us to be induced by TGFβ in mammary fibroblasts, including fibulin-5, SLC2A1 and MUC18, were positively identified in all tissue samples, with relatively higher abundance in tumor neighboring tissue sections. These findings indicate a predominance of cancer-associated fibroblasts with wound healing activities localized around tumors.

2014-09-23 | PXD001328 | Pride

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