Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data for miR-33a over-expression in CD133-negative D456MG cells

ABSTRACT: MiR-33a is involved in the maintenance of Glioma Initiating Cells (GIC) and tumor progression. MicroRNA-33a could promote GIC growth and self-renewal by regulating two pathways including cAMP/PKA pathway and Notch pathway. We used microarrays to identify the direct target genes of miR-33a in a glioblastoma cell line D456MG. We used microarrays to detail the global change of gene expression after miR-33a over-expression and identified target genes during this process. Cells were infected with lenti-virus expressing a control vector (pWPXLD) or human primary miR-33a. Then RNA was extracted and gene expression was profiled by Affymetrix microarray.

ORGANISM(S): Homo sapiens

SUBMITTER: Hui Wang

PROVIDER: E-GEOD-59484 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Expression data for miR-33a over-expression in CD133-negative D456MG cells

Project description:MiR-33a is involved in the maintenance of Glioma Initiating Cells (GIC) and tumor progression. MicroRNA-33a could promote GIC growth and self-renewal by regulating two pathways including cAMP/PKA pathway and Notch pathway. We used microarrays to identify the direct target genes of miR-33a in a glioblastoma cell line D456MG. We used microarrays to detail the global change of gene expression after miR-33a over-expression and identified target genes during this process.

2014-07-17 | GSE59484 | GEO

CD133- HCC cells infected with miR-130b vs. empty vector control

Project description:To identify candidate downstream mRNA target for hsa-miR-130b miR-130b or empty vector control was overexpressed in PLC8024 CD133- HCC cells using lentivirus

2010-12-10 | E-GEOD-17386 | biostudies-arrayexpress

Lenti-miR Library WiDR, Pre vs Post Intrahepatic Selection

Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, WiDR, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.

2015-01-16 | E-GEOD-56319 | biostudies-arrayexpress

Lenti-miR Library SW620, Pre vs Post Intrahepatic Selection

Project description:Cells were transduced with a lentiviral Lenti-miR library composed of 661 miRNAs (System Biosciences) at a low multiplicity of infection (MOI) such that each cell over-expressed a single miRNA. The transduced population was then injected intra-hepatically into NOD-SCID mice for in vivo selection of miRNAs that when over-expressed, either promoted or suppressed metastatic liver colonization. Genomic DNA PCR amplication and recovery of lenti-viral miRNA inserts was performed on cells prior to injection, and from liver nodules, according to the manufacturer’s protocol. miRNA array profiling allowed for miRNA insert quantification prior to and subsequent to in vivo selection. To use an unbiased approach to identify regulators of colon cancer metastasis, we transduced a population of colon cancer cells, SW620, with a lenti-miR library comprising of 661 human miRNAs, such that each individual cells over-express a single miRNA. The heterogenous population is then injected into the liver of immunodeficient mice. We theorized that cells over-expressing miRNAs that modulate colon cancer metastais will have differential representation in the whole population compared to a reference pool of cells. miRNAs that suppressed colon cancer metastasis will be lost in the resulting pool, while miRNAs that promote metastasis will be over-represented compared to the reference pool. Replicate pools of cells were transduced and injected into mice. After a period of 3-5 weeks, liver nodules were taken out and processed for lenti-viral derived miRNA profiling (Post samples) and compared to the reference pool of cells that were not injected into the mice (Pre Samples). The changes in miRNA representation between cells that underwent liver colonization were analyzed.

2015-01-16 | E-GEOD-56318 | biostudies-arrayexpress

Identification of early targets of SOX2 and PI3K signaling in normal, patient-derived tracheal basal cell lines.

Project description:Microarrays were used to examine gene expression changes in patient derived tracheal basal cell lines after treatment with Lenti-SOX2. Comparisons were made between baseline, Lenti-SOX2 and Lenti-SOX2 with a PI3K inhibitor (BKM120). Total RNA obtained from celll lnes 36 hours post lentivirus addition.

2015-07-01 | E-GEOD-59866 | biostudies-arrayexpress

proteomic effects of mIR-877-3p in cervical cancer

Project description:A subcellular proteomic workflow was carried out with three biological replicates in each experimental condition, using MOCK, NC- and anti-miR-877-transfections in C-33A and SiHa cells.

2021-09-08 | PXD014993 | Pride

Gene expression profiling in prostate cancer cell lines transfected with miR-33a

Project description:In this study, we aimed to investigate the functional roles of miR-33a in PCa.We investigated the relative miR-33a level in normal and tumor prostate samples as well as PCa cell lines. Then, we performed a detailed functional analysis of mir-33a in LNCaP and VCaP PCa cells and evaluated proliferative, invasive and anchorage independent growth potential of cells upon overexpression and knockdown of miR-33a. We next explored the potential direct targets of miR-33a in PCa cells via utilizing gene expression microarray analysis, bioinformatics search, further qRT-PCR, western blot, and luciferase assay confirmation. Our results demonstrated that miR-33a is significantly downregulated in PCa tumor samples and PCa cell lines, pointing its tumor suppressor potential in PCa. Overexpression and knockdown of miR-33a significantly altered the proliferative, invasive and anchorage independent growth potentials of cells through altering the expression of its direct target PIM1. Ectopic induction of MiR-33a expression reversed the impacts of PIM1 overexpression on cellular phenotypes associated with PCa progression. Our results suggest that mir-33a exerts its tumor suppressor potential through targeting its direct target PIM1 and carries crucial roles in PCa tumorigenesis.

2017-10-31 | GSE89034 | GEO

Expression data comparing Huh7 CD133+ and CD133- HCC cells

Project description:To identify candidate genes involved in enhanced tumorigenicity of CD133+ liver tumor-initiating cells Affymetrix Human Genome U133 Plus GeneChip 2.0 HCC cell line Huh7 was sorted into CD133+ and CD133- populations by flow cytometry

2012-04-04 | E-GEOD-23450 | biostudies-arrayexpress

Expression data comparing PLC8024 CD133+ and CD133- HCC cells

Project description:To identify candidate genes involved in enhanced tumorigenicity of CD133+ liver tumor-initiating cells Affymetrix Human Genome U133 Plus GeneChip 2.0 HCC cell line PLC8024 was sorted into CD133+ and CD133- populations by flow cytometry

2012-04-04 | E-GEOD-23451 | biostudies-arrayexpress

Expression data from CD133+ and CD133- glioma cells

Project description:Given the very substantial heterogeneity of most human cancers, it is likely that most cancer therapeutics will be active in only a small fraction of any population of patients. As such, the development of new therapeutics, coupled with methods to match a therapy with the individual patient, will be critical to achieving significant gains in disease outcome. One such opportunity is the use of expression signatures to identify key oncogenic phenotypes that can serve not only as biomarkers but also as a means of identifying therapeutic compounds that might specifically target these phenotypes. Given the potential importance of targeting tumors exhibiting a stem-like phenotype, we have developed an expression signature that reflects common biological aspects of various stem-like characteristics. The Consensus Stemness Ranking (CSR) signature is upregulated in cancer stem cell enriched samples, at advanced tumor stages and is associated with poor prognosis in multiple cancer types. Using two independent computational approaches we utilized the CSR signature to identify clinically useful compounds that could target the CSR phenotype. In vitro assays confirmed selectivity of several predicted compounds including topoisomerase inhibitors and resveratrol towards breast cancer cell lines that exhibit a high-CSR phenotype. Importantly, the CSR signature could predict clinical response of breast cancer patients to a neoadjuvant regimen that included a CSR-specific agent. Collectively, these results suggest therapeutic opportunities to target the CSR phenotype in a relevant cohort of cancer patients. CD133+ and CD133- cells were separated from two glioma xenograft tumors. Both CD133+ and CD133- glioma cells were cultured in serum-free media for 48 hours in the presence of absence of laminin.

2010-10-16 | E-GEOD-24716 | biostudies-arrayexpress

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