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GSE16395
Homo sapiens
44 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Langerhans-cell histiocytosis (LCH) is characterized by heterogeneous lesions containing CD207+ Langerhans cells (LCs) and lymphocytes. In this study, we isolated CD207+ cells and CD3+ T cells from LCH lesions to determine cell-specific gene expression. Compared to control epidermal CD207+ cells, the LCH CD207+ cells yielded 2113 differentially-expressed genes (FDR<0.01). Surprisingly, expression of many genes previously associated with LCH, including cell-cycle regulators, pro-inflammatory cytokines and chemokines were not significantly different from control LCs in our study. However, several novel genes whose products activate and recruit T cells to sites of inflammation, including SPP1 (osteopontin), were highly over-expressed in LCH CD207+ cells. Furthermore, several genes associated with immature myeloid dendritic cells were over-expressed in LCH CD207+ cells. Compared to the peripheral CD3+ cells from LCH patients, the LCH lesion CD3+ cells yielded only 162 differentially-regulated genes (FDR<0.01), and the expression profile of the LCH lesion CD3+ cells was consistent with an activated regulatory T cell phenotype with increased expression of FOXP3, CTLA4 as well as SPP1. Based on these results, we propose a new model of LCH pathogenesis in which lesions do not arise from epidermal Langerhans cells, but from accumulation of bone-marrow derived immature myeloid dendritic cells that recruit activated lymphocytes.
Publication Title
Cell-specific gene expression in Langerhans cell histiocytosis lesions reveals a distinct profile compared with epidermal Langerhans cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Patient lesion and control sorted cells were used, treatment with different inhibitors for MAPK pathways for desired amount of time and then was sorted for CD207
Publication Title
RAF/MEK/extracellular signal-related kinase pathway suppresses dendritic cell migration and traps dendritic cells in Langerhans cell histiocytosis lesions.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 255 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Time
View Samples- Homo sapiens
- 258 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Race
View Samples- Homo sapiens
- 55 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples- Homo sapiens
- 194 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Recent meta-analyses suggest triple-negative breast cancer (TNBC) is a heterogenous disease. In this study we sought to define these TNBC subtypes and identify subtype-specific markers and targets.
Publication Title
Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Race
View Samples- Homo sapiens
- 21 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Targeted cancer therapy for squamous cell carcinoma (SCC) has made little progress largely due to a lack of knowledge of the driving genomic alterations. Small non-coding RNAs (sncRNAs) as a potential biomarker and therapeutic target to SCC remain a challenge. We analyzed sncRNAs microarray in 108 fresh frozen specimens of esophageal squamous cell carcinoma (ESCC) as discovery set and assessed associations between sncRNAs and recurrence-free survival. SncRNA signature identified was externally validated in two independent cohorts. We investigated the functional consequences of sncRNA identified and its integrative analysis of complex cancer genomics. We identified 3 recurrence-associated sncRNAs (miR-223, miR-1269a and nc886) from discovery set and proved risk prediction model externally in high and low volume centers. We uncovered through in vitro experiment that nc886 was down-regulated by hypermethylation of its promoter region and influences splicing of pre-mRNAs with minor introns by regulating expression of minor spliceosomal small nuclear RNAs (snRNAs) such as RNU4atac. Integrative analysis from lung SCC data in The Cancer Genome Atlas revealed that patients with lower expression of nc886 had more genetic alterations of TP53, DNA damage response and cell cycle genes. nc886 inhibits minor splicing to suppress expression of certain oncogenes such as PARP1 and E2F family containing minor introns. We present risk prediction model with sncRNAs for ESCC. Among them, nc886 may contribute to complete minor splicing via regulation of minor spliceosomal snRNAs supporting the notion that aberrant alteration in minor splicing might be a key driver of ESCC.
Publication Title
Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 102 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of tumors for which the patients body mass index (BMI) was ascertained. Sample profiles were stratified according to patients obesity phenotype defined as normal (BMI <25), overweight (BMI 25-29.9), or obese (BMI>30). Widespread alterations in gene expression were evident in breast tumors from obese patients as compared to tumors from other patients, allowing us to define an obesity-associated cancer transcriptional signature of 662 genes.
Publication Title
A gene transcription signature of obesity in breast cancer.
Sample Metadata Fields
Age, Disease, Disease stage, Race
View Samples- Homo sapiens
- 101 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Gene expression (mRNA) profiling of human ependymomas
Publication Title
Delineation of two clinically and molecularly distinct subgroups of posterior fossa ependymoma.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples