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Links from GEO DataSets

Items: 12

1.

Gene Expression Profiles of HPV-Positive and -Negative Head/Neck and Cervical Cancers

(Submitter supplied) Human papillomaviruses (HPVs) are associated with nearly all cervical cancers (CCs), 20-30% of head and neck cancers (HNCs), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, CCs and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
84 Samples
Download data: CEL, EXP
Series
Accession:
GSE6791
ID:
200006791
2.

Subtypes of HPV-positive head and neck cancers are associated with HPV characteristics, copy number variations, PIK3CA mutation, and pathway signatures.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; SNP genotyping by SNP array; Genome variation profiling by SNP array
Platforms:
GPL11154 GPL19699 GPL18900
108 Samples
Download data: IDAT
Series
Accession:
GSE74956
ID:
200074956
3.

Subtypes of HPV-positive head and neck cancers are associated with HPV characteristics, copy number variations, PIK3CA mutation, and pathway signatures. [SNP]

(Submitter supplied) Purpose: There is substantial heterogeneity within the human papillomavirus (HPV) positive head and neck cancer (HNC) tumors that predispose them to different outcomes, however this subgroup is poorly characterized due to various historical reasons. Experimental Design: we perform unsupervised gene expression clustering on well-annotated HPV(+) HNC samples from two cohorts ( 84 total primary tumors), as well as 18 HPV(-) HNCs, to discover subtypes, and begin to characterize the differences between the subtypes in terms of their HPV characteristics, pathway activity, whole-genome somatic copy number variations and mutation frequencies. more...
Organism:
Homo sapiens
Type:
SNP genotyping by SNP array; Genome variation profiling by SNP array
Platforms:
GPL19699 GPL18900
72 Samples
Download data: IDAT, TXT
Series
Accession:
GSE74949
ID:
200074949
4.

Subtypes of HPV-positive head and neck cancers are associated with HPV characteristics, copy number variations, PIK3CA mutation, and pathway signatures. [RNA-Seq]

(Submitter supplied) Purpose: There is substantial heterogeneity within the human papillomavirus (HPV) positive head and neck cancer (HNC) tumors that predispose them to different outcomes, however this subgroup is poorly characterized due to various historical reasons. Experimental Design: we perform unsupervised gene expression clustering on well-annotated HPV(+) HNC samples from two cohorts ( 84 total primary tumors), as well as 18 HPV(-) HNCs, to discover subtypes, and begin to characterize the differences between the subtypes in terms of their HPV characteristics, pathway activity, whole-genome somatic copy number variations and mutation frequencies. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
36 Samples
Download data: TXT
5.

Long non-coding RNA FAM83H-AS1 is regulated by human papillomavirus 16 E6 independently of p53 in cervical cancer cells

(Submitter supplied) Global long non-coding RNA (lncRNA) expression profile in primary human keratinocytes post-expression of high-risk HPV-16 E6 oncoprotein Purpose: The goal of this study is to utlize high-throughput RNA sequencing (RNA-seq) to identify differentially expressed host lncRNAs with the presence of the high-risk HPV-16 E6 oncoprotein in primary human foreskin keratinocytes. Methods: Primary human foreskin keratinocytes (HEKa) stably expressing HPV-16 E6 compared to GFP control were analyzed, in triplicates, by RNA-seq (Illumina). more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL11154
6 Samples
Download data: TXT
6.

The role of histone demethylase KDM5C in super-enhancer activation

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL16791
12 Samples
Download data: BW, TXT
Series
Accession:
GSE101565
ID:
200101565
7.

Transcriptome of human keratinocytes with or without HPV16 oncogene expression

(Submitter supplied) We used freshly established immortalized human keratinocytes with a well-defined HPV16 E6 E7 expression cassette to get a more complete and less biased overview about global changes induced by HPV16 using RNA-seq. We identified novel factors regulated by HPV oncogenes that could serve an essential role in cancer development.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
6 Samples
Download data: TXT, XLSX
8.

c-MYC-dependent transcriptional inhibition of autophagy is implicated in Cisplatin sensitivity in HPV-positive Head and Neck Cancer

(Submitter supplied) Autophagy is important for removal, degradation and recycling of damaged organelles, proteins, and lipids through the degradative action of lysosomes. In addition to its catabolic function, autophagy is important in cancer and viral-mediated tumorigenesis, including Human Papillomavirus (HPV) positive cancers. HPV infection is a major risk factor in a subset of Head and Neck Cancer (HNC), for which no targeted therapies are currently available. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
16 Samples
Download data: TXT
Series
Accession:
GSE235662
ID:
200235662
9.

In vitro knockdown of LAMP3 leads to down-regulation of interferon-inducible genes

(Submitter supplied) We identified LAMP3 as a key driver gene of anti-viral subnetwork genes in cervical cancer patients. Therefore we tested this prediction using an in vitro system. This is the first direct demonstration of LAMP3 regulatory role in interferon-dependent immune response.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5189
Platform:
GPL10558
8 Samples
Download data: TXT
Series
Accession:
GSE29009
ID:
200029009
10.

Drivers of gene expression in cervical cancer

(Submitter supplied) Gene expression profiling of 82 patients with cervical cancer was performed. The expression data were correlated with copy number alterations of the same patients, as assessed with array CGH in a separate study, in order to identify drivers of cervical cancer carcinogenesis.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6884
82 Samples
Download data: TXT
Series
Accession:
GSE27469
ID:
200027469
11.

Reconstruction of an integrative gene regulatory meta-network reveals cell cycle and antiviral response as major drivers of cervical cancer

(Submitter supplied) Cervical cancer is the one of the most common cancer type among women worldwide, with Human Papillomavirus (HPV) playing a causal role in this disease. We applied a novel integrative approach to understand the disease process and find its major drivers. We performed a meta-analysis of gene expression and chromosomal aberration studies comprising data on over 500 patients for the reconstruction of a regulatory meta-network. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL1053 GPL1052
54 Samples
Download data: TXT
Series
Accession:
GSE26342
ID:
200026342
12.
Full record GDS5189

LAMP3 depleted cell line response to interferon-alpha: time course

Analysis of LAMP3 depleted HeLa cells following treatment with interferon-alpha for 3 or 4 days. Results provide insight into the role of LAMP3 in the immune response mediated by interferon-alpha.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 protocol, 2 time sets
Platform:
GPL10558
Series:
GSE29009
8 Samples
Download data: TXT
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