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Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human BT-20 cell line transfected with GFP siRNA or FoxM1 siRNA

ABSTRACT: BT-20 breast cancer cells were exposed to a mock transfection, GFP siRNA, or FoxM1 siRNA. Each condition was performed in triplicate, and RNA was collected after 48hrs.

ORGANISM(S): Homo sapiens

SUBMITTER: Diane Wonsey

PROVIDER: E-GEOD-2222 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Loss of the forkhead transcription factor FoxM1 causes centrosome amplification and mitotic catastrophe.

Wonsey Diane R DR Follettie Maximillian T MT

Cancer research 20050601 12

Expression of the forkhead transcription factor FoxM1 correlates with proliferative status in a variety of normal and transformed cell types. Elevated expression of FoxM1 has been noted in both hepatocellular carcinoma and basal cell carcinoma. However, whether FoxM1 expression is essential for the viability of transformed cells is unknown. We report here that the expression of FoxM1 is significantly elevated in primary breast cancer. Microarray analysis shows that FoxM1 regulates genes that are ...[more]

PMID: 15958562

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FoxM1 siRNA profiles

Project description:BT-20 breast cancer cells were exposed to a mock transfection, GFP siRNA, or FoxM1 siRNA. Each condition was performed in triplicate, and RNA was collected after 48hrs. Keywords: parallel sample

2005-05-31 | GSE2222 | GEO

Transcription profiling of human BT-20 cell line transfected with GFP siRNA or FoxM1 siRNA

Project description:BT-20 breast cancer cells were exposed to a mock transfection, GFP siRNA, or FoxM1 siRNA. Each condition was performed in triplicate, and RNA was collected after 48hrs.

| S-ECPF-GEOD-2222 | biostudies-other

siRNA profiling of human aortic vascular smooth muscle cells knocked down for FoxM1

Project description:Transcription factor FoxM1 is expressed in proliferating cells, and its expression is critical for cell proliferation in embryos and tumors. FoxM1 regulates a multi-gene transcriptional network for cell cycle regulation. We used microarrays to detail the global program of gene expression either directly or indirectly regulated by FoxM1, and distinct classes of up- and down-regulated genes. Experiment Overall Design: Human aortic vascular smooth muscle cells (HAVSMC) were transfected with FoxM1 siRNA and control siRNA for 48 hours. Total RNA was extracted, purified, and prepared for hybridization on Affymetrix microarrays.

2009-09-06 | E-GEOD-17543 | biostudies-arrayexpress

Transcription profiling by array of human breast cancer cell line BT-474 with annexin A1 over-expression or silenced with siRNA to demonstrate design of multi-condition experiments

Project description:Multiple-condition experiment was desinged to be any number of conditions in an experiment without replicate observations for microarray and used to identify genes differentially expressed between different pairs of conditions (treatments).<br> In this study we used breast cancer stable cell lines for overexpressing and silencing annexin A1 (ANXA1), which belongs to a family of -dependent phospholipid binding proteins and are preferentially located on the cytosolic face of the plasma membrane. Cell lines overexpressing ANXA1 (MDA_MB-453/cDNA) were generated by introducing retroviral vectors containing ANXA1 cDNA (pBabe/ANXA1 cDNA) into breast cancer cell line MDA-MB-453 (a low expressor of ANXA1). Breast cancer cell line BT-474, a high expressor of ANXA1, was infected with ANXA1 siRNA-plasmid viruses to knockdown ANAXAI expressor (BT-474/siRNA) where nucleotides corresponding to siRNA were synthesized and ligated into the pLNCX retroviral vector [35,36]. We also used a pLNCX/U6 empty vector to infect BT-474 and obtained an empty vector expressor. Therefore, 5 breast cancer cell lines (MDA_MB-453, MDA_MB-453/cDNA, BT-474, BT-474/siRNA, and BT-474/U6) are attributed to two genotypes: MDA_MB-453 and BT-474. MCE was performed for microarray analysis with these 5 breast cancer cell lines, that is, only one sample was drawn from each breast cancer cell line.

2010-06-26 | E-MEXP-2775 | biostudies-arrayexpress

Microarray analysis of U87 glioma cells after transient knockdown of FOXM1

Project description:FOXM1 plays a key role in M phase in normal cells and is overexpressed in human glioma. We found that FOXM1 deprivation could sensitize the glioma cells to TMZ chemotherapy. To find out the mechanistic regulation of FOXM1 in chemo-resistant genes, we used microarrays to select the potential genes regulated by FOXM1 which dominates in glioma chemo-resistance. U87 glioma cells were transiently transfected with none-target siRNA or FOXM1 siRNA. Total RNA were extracted after 48 hours and subjected to the microarray.

2012-08-10 | E-GEOD-40051 | biostudies-arrayexpress

Transcriptome profiling of BT-20 cell line with C/EBPβ-ko

Project description:We performed RNA-seq experiments to compare effect of CEBPβ-ko knock-out in BT-20 cell line

2022-01-24 | E-MTAB-11227 | biostudies-arrayexpress

RNA sequencing (RNA-SEQ) of FOXM1 knockdown by siRNA in ovarian cancer cells

Project description:Purpose：Forkhead box M1 (FOXM1) transcription factor is ubiquitously expressed in embryonic tissues but rare in differentiated cells. Increased expression of FOXM1 is observed in a variety of human malignancies. Here, we sought to characterize the expression and tumorigenic roles of FOXM1 in high-grade serous ovarian carcinoma (HGSOC). Experimental Design：TCGA dataset were analyed to identify potential master transcriptional regulators in HGSOC. Immunohistochemistry was performed to evaluate the clinical signiﬁcance of FOXM1 in HGSOC. Invasion, clonogenic assays were conducted to determine to functional role of FOXM1. ChIP-seq and luciferase analyses were utilized to identify FOXM1 direct target genes in HGSOC. Association between mutant p53 and FOXM1 expression was investigated through TCGA data analysis, immunohistochemistry stainingand western blot. Results: We identified FOXM1 as a potential key transcription factor in ovarian cancer. FOXM1 was markedly increased in HGSOCs and high FOXM1 expression correlated with poor prognosis in HGSOC patients. Mechanistically, FOXM1 regulated CCNF and KIF20A at transcriptional level through binding on their promoters. Consistently, CCNF and KIF20A were elevated in HGSOCs and correlated with poor prognosis. Importantly, mutant p53 contribute to the high expression of FOXM1 in HGSOCs. Conclusions: These data reveal FOXM1 as a driver oncogenic transcription factor that promotes ovarian cancer malignancy which might be a potential drug target in HGSOC.

2021-12-01 | GSE142567 | GEO

Paredes_IPATIMUP_Comparison of cell lines derived from BT-20 cells using siRNA to silence E-cadherin and P-cadherin

Project description:Gene expression of four cell lines derived from BT-20 cells, namely, BT20 siCtr (E+/P+), BT20 siPcad (E+/P-), BT20 siEcad (E-/P+), and BT20 siEPcad (E-/P-) was compared using Agilent Human GE 4x44k v2 Microarrays and the Agilent One-Color Microarray-Based Gene Expression Analysis protocol (Quick Amp Labeling kit). Three independent biological samples were obtained for each cell line and BT20 siCtr (E+/P+) cells were used as control for data analysis.

2011-10-01 | E-MEXP-3329 | biostudies-arrayexpress

Expression data from FoxM1 siRNA knock down Human aortic vascular smooth muscle cells

2009-08-07 | GSE17543 | GEO

Gene expression data at 24hrs post-siRNA transfection for HCT116 cultures transfected with either DDX5si2008, DDX5si2053, or EBNA1si1666 siRNA's or mock transfected.

Project description:HCT116 cells were transfected with two different siRNA's targeting either DDX5, an siRNA targeting EBNA1, or no siRNA (mock). The siRNA targeting EBNA1 is used as a negative control since HCT116 cells do not have the EBNA1 gene. RNA was obtained from cultures at 24hrs post-siRNA transfection using the Qiagen RNeasy Minikit (cat. # 74104) with on-column DNase digestion performed as per the manufacturer's protocol. The RNA samples were isolated at 24hrs post-siRNA transfection since this timepoint precedes an impaired G1-to-S phase cell cycle progression phenotype that is evident at 48hrs post-siRNA transfection and so may reveal gene expression changes occuring before this effect on cell cycle. RNA samples were submitted to the Cold Spring Harbor Laboratory Microarray Faciity where cDNA was prepared, labeled, and hybridized to Affymetrix GeneChip Human Gene 1.0 ST microarrays. Data from the arrays were processed using the RMA method with an up-to-data probe set definition (Biostatistics 4:249-264 and Nucleic Acids Research 33(20):e175. Gene set analysis was performed using generally applicable gene set enrichment (BMC Bioinformatics 10:161). The most differentially regulated gene ontology groups were selected with FDR q-value < 0.1.

2012-06-02 | GSE36141 | GEO

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