Similar Datasets
Project description:The colorectal cancer (CRC) cell line pair SW480/SW620 is an accepted model to study CRC progression and metastasis formation. Studying miRNA expression differences might allow to uncover molecular mechanisms that underlie metastasis initiation Both cell lines are derived from the same patient, but at different stages of the disease. They might show differences in tumor-initiating cell (TIC) potential.
2018-04-12 | GSE89522 | GEO
Project description:The colorectal cancer (CRC) cell line pair SW480/SW620 is an accepted model to study CRC progression and metastasis formation. Studying gene expression differences might allow to uncover molecular mechanisms that underlie metastasis initiation Both cell lines are derived from the same patient, but at different stages of the disease. They might show differences in tumor-initiating cell (TIC) potential.
2018-04-12 | GSE89523 | GEO
Project description:Identification of differentially expressed miRNAs between SW480 and SW620 spheroid cultures
| PRJNA352464 | ENA
Project description:Microarray-based gene expression analysis identified microRNAs and mRNAs differentially expressed in 5 glioblastoma spheroid cultures upon ATRA treatment. In this study, a set of 5 glioblastoma spheroid cultures was used to acquire microRNA expression profiles, leading to the identification of differentially expressed microRNAs between untreated and ATRA-treated cultures. In this study, a set of 5 glioblastoma spheroid cultures was used to acquire expression profiles of a total of 16,651 transcripts, leading to the identification of differentially expressed genes between untreated and ATRA-treated cultures by Significance Analysis of Microarray data.
| S-ECPF-GEOD-17227 | biostudies-other
Project description:Retinoblastoma (RB) is a common pediatric cancer. The study aimed to uncover the mechanisms of RB progression and identify novel therapeutic biomarkers.The miRNA expression profile GSE7072, which includes three RB samples and three healthy retina samples, was used. After data normalization using the preprocessCore package, differentially expressed miRNAs (DE-miRs) were selected by the limma package. The targets of the DE-miRs were predicted based on two databases, followed by construction of the miRNA-target network. Pathway enrichment analysis was conducted for the targets of the DE-miRNAs using DAVID. The CTD database was used to predict RB-related genes, followed by clustering analysis using the pvclust package. The correlation network of DE-miRs was established. MiRNA expression was validated in another data set, GSE41321.In total, 24 DE-miRs were identified whose targets were correlated with the cell cycle pathway. Among them, hsa-miR-373, hsa-miR-125b, and hsa-miR-181a were highlighted in the miRNA-target regulatory network; 14 DE-miRs, including hsa-miR-373, hsa-miR-125b, hsa-miR-18a, hsa-miR-25, hsa-miR-20a, and hsa-let-7 (a, b, c), were shown to distinguish RB from healthy tissue. In addition, hsa-miR-25, hsa-miR-18a, and hsa-miR-20a shared the common target BCL2L11; hsa-let-7b and hsa-miR-125b targeted the genes CDC25A, CDK6, and LIN28A. Expression of three miRNAs in GSE41321 was consistent with that in GSE7072.Several critical miRNAs were identified in RB progression. Hsa-miR-373 might regulate RB invasion and metastasis, hsa-miR-181a might involve in the CDKN1B-mediated cell cycle pathway, and hsa-miR-125b and hsa-let-7b might serve as tumor suppressors by coregulating CDK6, CDC25A, and LIN28A. The miRNAs hsa-miR-25, hsa-miR-18a, and hsa-miR-20a might exert their function by coregulating BCL2L1.
| S-EPMC4688417 | biostudies-literature
Project description:The microRNAs, also known as miRNAs, are the class of small noncoding RNAs. They repress the expression of a gene posttranscriptionally. In effect, they regulate expression of a gene or protein. It has been observed that they play an important role in various cellular processes and thus help in carrying out normal functioning of a cell. However, dysregulation of miRNAs is found to be a major cause of a disease. Various studies have also shown the role of miRNAs in cancer and the utility of miRNAs for the diagnosis of cancer and other diseases. Unlike with mRNAs, a modest number of miRNAs might be sufficient to classify human cancers. However, the absence of a robust method to identify differentially expressed miRNAs makes this an open problem. In this regard, this paper presents a novel approach for in silico identification of differentially expressed miRNAs from microarray expression data sets. It integrates judiciously the theory of rough sets and merit of the so-called B.632+ bootstrap error estimate. While rough sets select relevant and significant miRNAs from expression data, the B.632+ error rate minimizes the variability and bias of the derived results. The effectiveness of the proposed approach, along with a comparison with other related approaches, is demonstrated on several miRNA microarray expression data sets, using the support vector machine.
| S-EPMC3790281 | biostudies-literature
Project description:Patient-derived TIC cultures T6 and T18 were used to study the effect of normoxic vs. hypoxic culture conditions The main focus of the study was the identification and validation of new hypoxia-responsive miRNAs and target genes in such colon TICs
2019-09-17 | GSE120424 | GEO
Project description:The differential ribosome-bound lncRNAs between SW620 and SW480 were investigated by RNA-seq.
2020-05-26 | GSE139407 | GEO
Project description:Brain metastasis (BM) can affect up to 25% of non-small cell lung cancer (NSCLC) patients during their lifetime. Efforts to characterize patients that will develop BM have been fairly disappointing. Small non-coding microRNAs (miRNAs) regulate the expression of target mRNAs by repressing their translation or regulating their sequence-specific degradation. miRNAs play a role in regulating a variety of targets and, consequently, multiple pathways, which makes them a powerful tool to be exploited for early detection of disease, risk assessment, and prognosis. In this study, we investigated miRNAs that may serve as biomarkers to differentiate between NSCLC patients with and without BM. miRNA microarray profiling was performed on samples from clinically matched NSCLC from patients with BM (BM+) and without BM (BM-). miR-328 and miR-330-3p were able to correctly classify BM+ vs. BM- patients. Gene expression analysis comparing NSCLC parental and stably transfected miR-328 cells identified several significantly differentially-expressed genes, whose expression may be directly or indirectly regulated by miR-328. NSCLC Cell Line A549 analysis: Two-condition experiment, A549 GFP Control vs. A549 miR-328 cells. Biological replicates: 2 control replicates, 2 miR-328 replicates. miRNA microarray analysis was performed on RNA extracted from formalin-fixed paraffin-embedded (FFPE) NSCLC tumor specimens from 7 BM+ patients and 5 BM- patients.
| S-ECPF-GEOD-23019 | biostudies-other
Project description:Lack of a standard method for stratifying advanced-stage NSCLC patients receiving platinum combination therapy often results in a number of patients that do not derive benefit yet are still exposed to treatment toxicity. We hypothesized that miRNAs in pre-treatment serum and/or plasma could be used to differentiate non-small cell lung cancer (NSCLC) patients who would have disease progression to first-line carboplatin and gemcitabine chemotherapy at first response assessment. miRNA profiling of mature and precursor miRNAs was performed on total RNA isolated from the pre-treatment serum and plasma of 24 NSCLC patients. Single validated candidates or combinations thereof were selected based on specificity and sensitivity to segregate patients with disease progression at first radiologic response (PD) vs. those without progressed disease (nonPD). Two precursor miRNA were significantly over-expressed in serum (but not plasma) of PD patients: pre-miR-518b and pre-miR-598. Serum miRNAs may serve as a screening tool in predicting chemoresistance to platinum-based combination chemotherapy. miRNA microarray was performed on RNA extracted from matched human serum or plasma obtained from NSCLC patients
| S-ECPF-GEOD-25019 | biostudies-other