Browse
Submit Data
Databases
API
Help

Dataset Information

21 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Lu TP

PROVIDER: S-ECPF-GEOD-33356 | biostudies-other | 2011

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2012-12-19 | E-GEOD-33356 | biostudies-arrayexpress

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:This SuperSeries is composed of the SubSeries listed below.

2012-12-19 | GSE33356 | GEO

Genome-wide screening of transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:Although smoking is the major risk factor for lung cancer, only 7% of female lung cancer patients in Taiwan have a history of cigarette smoking, extremely lower than those in Caucasian females. This report is a comprehensive analysis of the molecular signature of non-smoking female lung cancer in Taiwan.

2011-01-30 | GSE19804 | GEO

Transcription profiling of lung cancer tumors from a female, non-smoking taiwanese population: Genome-wide screening of transcriptional modulation in non-smoking female lung cancer in Taiwan

2011-01-30 | E-GEOD-19804 | biostudies-arrayexpress

Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

Project description:Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan

| PRJNA148853 | ENA

Affymetrix SNP array data for Non-Smoking Female Lung Cancer in Taiwan

Project description:Genome-Wide Screening of Genomic Alterations and Transcriptional Modulation in Non-Smoking Female Lung Cancer in Taiwan

2012-12-31 | GSE33355 | GEO

Affymetrix SNP array data for Non-Smoking Female Lung Cancer in Taiwan

Project description:Genome-Wide Screening of Genomic Alterations and Transcriptional Modulation in Non-Smoking Female Lung Cancer in Taiwan Sixty-one pairs of cancer and normal lung tissue specimens from non-smoking females were collected at National Taiwan University Hospital and Taichung Veterans General Hospital. The selection criteria of clinical specimens depend on pathology report, physical examination and cigarette-smoking history. Surgical lung tissue specimens were immediately snap-frozen in liquid N2 and stored at -80 °C. Surgical specimens would be further processed for RNA and DNA extraction. Only those samples passed quality controls were processed for gene expression profiling analysis and single nucleotide polymorphism (SNP) analysis respectively.

2012-12-31 | E-GEOD-33355 | biostudies-arrayexpress

Genome-Wide Analysis of Head and Neck Squamous Cell Carcinomas Reveals HPV, TP53, Smoking and Alcohol-Related Allele-Based Acquired Uniparental Disomy Genomic Alterations.

Project description:Smoking and alcohol intake are major risk factors in head and neck squamous cell carcinomas (HNSCCs). Although the link between TP53 mutation and smoking has been well established, very little is known about the link between acquired uniparental disomy (aUPD) and smoking and/or alcohol consumption or other clinical characteristics. We used TCGA genomic data to investigate whether smoking, alcohol intake, clinical and demographic variables, HPV status and TP53 mutation are associated with aUPD at specific chromosomal regions. In multivariate analysis, we found association between aUPD regions and risk factors and clinical variables of disease. aUPD regions on chromosome 4q, 5q, 9p, 9q, 13q, 17p and CDKN2A occurred significantly more often in patients with TP53-mutated HNSCC than in those with wild-type HNSCC, while aUPD regions on chromosome 9p and at CDKN2A were significantly more frequent in females than in males. Besides, aUPD occurred more frequent in HPV-positive than in HPV-negative samples with all HNSCC and larynx cancers on chromosome 9q 15q and 17p. Moreover, aUPD on CDKN2A region occurred more often in alcohol drinkers than nondrinkers in patients with all HNSCC and oral cavity cancers, while aUPD region on chromosome 5q occurred less in alcohol drinkers than nondrinkers in patients with all HNSCC and oral cavity cancers. Similarly, aUPD region on chromosome 5q occurred less in smokers than nonsmokers in patients with all HNSCC and oral cavity cancers. In conclusion, aUPD regions are not random, and certain regions are associated with risk factors for disease, and with TP53 mutation status.

| S-EPMC6321975 | biostudies-literature

Genome-wide analysis of genomic alterations induced by oxidative DNA damage in yeast.

Project description:Oxidative DNA damage is a threat to genome stability. Using a genetic system in yeast that allows detection of mitotic recombination, we found that the frequency of crossovers is greatly elevated when cells are treated with hydrogen peroxide (H2O2). Using a combination of microarray analysis and genomic sequencing, we mapped the breakpoints of mitotic recombination events and other chromosome rearrangements at a resolution of about 1 kb. Gene conversions and crossovers were the two most common types of events, but we also observed deletions, duplications, and chromosome aneuploidy. In addition, H2O2-treated cells had elevated rates of point mutations (particularly A to T/T to A and C to G/G to C transversions) and small insertions/deletions (in/dels). In cells that underwent multiple rounds of H2O2 treatments, we identified a genetic alteration that resulted in improved H2O2 tolerance by amplification of the CTT1 gene that encodes cytosolic catalase T. Lastly, we showed that cells grown in the absence of oxygen have reduced levels of recombination. This study provided multiple novel insights into how oxidative stress affects genomic instability and phenotypic evolution in aerobic cells.

| S-EPMC6468167 | biostudies-literature

An Integrating Approach for Genome-Wide Screening of MicroRNA Polymorphisms Mediated Drug Response Alterations.

Project description:MicroRNAs (miRNAs) are a class of evolutionarily conserved small noncoding RNAs, ~22 nt in length, and found in diverse organisms and play important roles in the regulation of mRNA translation and degradation. It was shown that miRNAs were involved in many key biological processes through regulating the expression of targets. Genetic polymorphisms in miRNA target sites may alter miRNA regulation and therefore result in the alterations of the drug targets. Recent studies have demonstrated that SNPs in miRNA target sites can affect drug efficiency. However, there are still a large number of specific genetic variants related to drug efficiency that are yet to be discovered. We integrated large scale of genetic variations, drug targets, gene interaction networks, biological pathways, and seeds region of miRNA to identify miRNA polymorphisms affecting drug response. In addition, harnessing the abundant high quality biological network/pathways, we evaluated the cascade distribution of tarSNP impacts. We showed that the predictions can uncover most of the known experimentally supported cases as well as provide informative candidates complementary to existing methods/tools. Although there are several existing databases predicting the gain or loss of targeting function of miRNA mediated by SNPs, such as PolymiRTS, miRNASNP, MicroSNiPer, and MirSNP, none of them evaluated the influences of tarSNPs on drug response alterations. We developed a user-friendly online database of this approach named Mir2Drug.

| S-EPMC5396474 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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