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Homo sapiens
9 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
ID-1, known as inhibitor of differentiation or a helix loop helix transcription factor which lack the basic DNA binding domain. It is known to bind to bHLH transcription factor and inhibit those bHLH to bind to the promoter thus inhibiting further transcription. Overexpression of ID-1 has been correlated with a variety of human cancers including breast, prostate, pancreatic, ovarian, endometrial, bladder cancer and melanomas. Recently known that if ID-1 is depleted, it abrogates cell proliferation, invasion and migration of cells in NSCLC. Further ID-1 expression is induced by Nicotine and EGF through the activation of nAChRs and EGFR. Here microarray analysis was done to compare differential gene expression patterns upon nicotine and EGF stimulation of A549 and H1650 cells and how ID1 depletion changes these patterns. We find that multiple genes are affected and the role of these genes in lung cancer will be elucidated. In this study we show that ID-1 regulates the expression of three genes STMN3, TPD52 and GSPT1 in NSCLC by activating the promoter of these genes either directly or indirectly. We also show that depletion of STMN3, TPD52 and GSPT1 prevented Nicotine and EGF induced cell proliferation, invasion and migration of cells in NSCLC.
Publication Title
No associated publication
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Earlier studies had shown that side population cells isolated from established non-small cell lung cancer (NSCLC) cell lines exhibit cancer stem cell properties. Microarray data from side population (SP) and main population (MP) cells isolated from 4 NSCLC lines (A549, H1650, H460, H1975) were used to examine gene expression profiles associated with stemness. Total RNA extracted from SP and MP samples were used to generate cRNA targets, which were hybridized to Human Genome U133 Plus 2.0 probe arrays. Raw data was processed and the mean center expression level for each gene was determined.
Publication Title
A novel five gene signature derived from stem-like side population cells predicts overall and recurrence-free survival in NSCLC.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Lung cancer remains the leading cause of cancer-related deaths worldwide. -arrestin-1 (ARRB1), a scaffolding protein involved in the termination or desensitization of signals arising from activated G-protein-coupled receptors (GPCRs) has been shown to play a role in invasion and proliferation of many cancers, including nicotine-induced proliferation of human nonsmall cell lung cancers (NSCLCs). In this study, we analyzed nicotine induced and -arrestin-1 dependent genes from the microarray data. Our analysis show that SCF (Stem cell factor) strongly differentiated smokers from non-smokers implying an important role of this gene in NSCLCs. SCF, a major cytokine is the ligand for the c-Kit proto-oncogene. Here we elucidate the molecular mechanisms by which nicotine as well as EGF induces the expression of SCF in lung adenocarcinoma cell lines A549 and H1650. ChIP assays and transient transfection experiments showed that transcription factor E2F1 can positively regulate SCF expression at the transcriptional level; depletion of E2F1 or -arrestin-1 prevented the nicotine-mediated induction of SCF. Given that the binding of SCF to c-Kit leads to activation of multiple downstream signaling pathways including Src, PI3K, MEK and EGFR pathways, our data suggest that the SCF plays a central role in lung carcinogenesis, and may be a potential therapeutic target for combating NSCLC. Studies presented here also provide evidence that SCF along with nicotine promotes self-renewal and proliferation of lung cancer stem cells (CSCs). Our findings reveal an important role and prognostic significance of SCF that can serve as a novel prognostic and predictive biomarker for NSCLC.
Publication Title
No associated publication
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 185 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Analysis of 143 completely histologically-normal breast tissues resulted in the identification of a malignancy risk gene signature that may serve as a marker of subsequent risk of breast cancer development.
Publication Title
Proliferative genes dominate malignancy-risk gene signature in histologically-normal breast tissue.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 65 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Complementary strand microRNAs mediate acquisition of metastatic potential in colonic adenocarcinoma.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 59 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Sample Metadata Fields
Disease stage, Cell line
View Samples- Homo sapiens
- 65 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Compariosn of mRNA and miRNA profile in colon cancer
Publication Title
Complementary strand microRNAs mediate acquisition of metastatic potential in colonic adenocarcinoma.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 38 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
We treated 8 human ovarian cancer cell lines with cisplatin in treatment/recovery cycles to induce in-vitro resistance to the drug. Microarrays measured gene expression at baseline and after each dose schedule (after recovery).
Publication Title
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 38 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Biologic markers of immune tolerance may facilitate tailoring of immune suppression duration after allogeneic hematopoietic cell transplantation (HCT). In a cross-sectional study, peripheral blood samples were obtained from tolerant (n=15, median 38.5 months post-HCT) and non-tolerant (n=17, median 39.5 post-HCT) HCT recipients and healthy control subjects (n=10) for analysis of immune cell subsets and differential gene expression. There were no significant differences in immune subsets across groups. We identified 281 probe sets unique to the tolerant (TOL) group and 122 for non-tolerant (non-TOL). These were enriched for process networks including NK cell cytotoxicity, antigen presentation, lymphocyte proliferation, and cell cycle and apoptosis. Differential gene expression was enriched for CD56, CD66, and CD14 human lineage-specific gene expression. Differential expression of 20 probe sets between groups was sufficient to develop a classifier with > 90% accuracy, correctly classifying 14/15 TOL cases and 15/17 non-TOL cases. These data suggest that differential gene expression can be utilized to accurately classify tolerant patients following HCT. Prospective investigation of immune tolerance biologic markers is warranted.
Publication Title
Tolerance associated gene expression following allogeneic hematopoietic cell transplantation.
Sample Metadata Fields
Specimen part, Subject
View Samples
GSE23554- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background. Genome-wide expression changes are associated with development of chemoresistance in patients with ovarian cancer (OVCA); the BCL2 antagonist of cell death (BAD) apoptosis pathway may play a role in clinical outcome.
Publication Title
BAD phosphorylation determines ovarian cancer chemosensitivity and patient survival.
Sample Metadata Fields
Disease stage
View Samples