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SRP089712
Mus musculus
86 Downloadable Samples
Illumina HiSeq 2000
Description
We analyzed Purkinje cell transcriptome dynamics in the developing mouse cerebellum during the first three postnatal weeks, a key developmental period equivalent to the third trimester in human cerebellar development. Our study represents the first detailed analysis of developmental Purkinje cell transcriptomes and provides a valuable dataset for gene network analyses and biological questions on genes implicated in cerebellar and Purkinje cell development. Overall design: Laser capture microdissection was employed to obtain a highly enriched population of cerebellar Purkinje cells. Deep sequencing was performed on RNA isolated from 1000 Purkinje cells at five developmental timepoints (postnatal days P0, P4, P8, P14 and P21) in triplicate.
Publication Title
A gene expression signature in developing Purkinje cells predicts autism and intellectual disability co-morbidity status.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 33 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
To characterize gene expression in esophageal squamous cell carcinoma, we examined gene expression in tumor and matched normal adjacent tissue from 17 ESCC patients from a high-risk region of China.
Publication Title
Genome wide analysis of DNA copy number neutral loss of heterozygosity (CNNLOH) and its relation to gene expression in esophageal squamous cell carcinoma.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 23 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Temporal genome profiling of DSS colitis
Publication Title
Temporal genomewide expression profiling of DSS colitis reveals novel inflammatory and angiogenesis genes similar to ulcerative colitis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 203 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Esophageal squamous cell carcinoma (ESCC) is an aggressive tumor with poor prognosis. Understanding molecular changes in ESCC should improve identification of risk factors in molecular subtypes and provide potential targets for early detection and therapy. To better characterize molecular changes in ESCC, we followed up a previous cDNA array study with additional discovery and confirmatory studies in new ESCC cases using alternative methods. We profiled global gene expression (Affymetrix U133A/B chip) for discovery and confirmation, and validated selected dysregulated genes with additional RNA (qRT-PCR, N=51) or protein studies (immunohistochemistry [IHC] of tumor tissue microarray [TMA], N=275).We also found genes associated with survival.
Publication Title
Global gene expression profiling and validation in esophageal squamous cell carcinoma and its association with clinical phenotypes.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We have identified genes that are differentially expressed between the bladders of UPII-SV40Tag mice and their age-matched wild-type littermates at 3, 6, 20, and 30 weeks of age. These are ages that correspond to premalignant, carcinoma in situ, and early-stage and later stage invasive UCC, respectively
Publication Title
Identification of genes correlated with early-stage bladder cancer progression.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 224 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
We identified different and common dysregulated genes in cardia and non-cardia gastric cancer in the two type of gastric cancer
Publication Title
Comparison of global gene expression of gastric cardia and noncardia cancers from a high-risk population in china.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 60 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
In the current study we focused on biallelic loss and its relation to expression of mRNA and miRNA in ESCC using arrays of 500K SNP, mRNA, and miRNA in 30 cases from a high-risk region of China. Our main results are the followings: 1) 77 genes had biallelic loss in at least 10% of ESCC samples, and most of them are located on chromosome 3p (gene number, n=42), 9p (n=14), 5q (n=10) and 4p (n=7); 2) 52 of 77 genes had signals in both tumor and matched normal on Affymetrix Hu 133 array whereas 79% of them (n=41) showed lower expression levels in patients with biallelic loss (group 1) than that without biallelic loss (group 2) and 19% (n=10) of genes showed higher expression levels in group1 than in group2; 3) 70 miRNAs targeting 35 genes were analyzed, and expression levels of 50 miRNAs (71%) were high while expression levels of their targets were low, and 20 miRNA (29%) showed low expression while their target genes showed high expression; 4) 60 miRNAs target 32 affected genes showed that 43% of (n=26) miRNA expression level were low in group 1 than in group 2 and 57% (n=34) miRNA showed higher expression levels in group 1 than in group 2; and the expression patterns of miRNA and genes affected are complex when comparison the two groups of patients.
Publication Title
Integrative genomics analysis of genes with biallelic loss and its relation to the expression of mRNA and micro-RNA in esophageal squamous cell carcinoma.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 103 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Recent genomic approaches have suggested the existence of multiple distinct subtypes of medulloblastoma. We studied a large cohort of medulloblastomas to determine how many subgroups of the disease exist, how they differ, and the extent of overlap between subgroups. We determined gene expression profiles and DNA copy number aberrations for 103 primary medulloblastomas. Bioinformatic tools were used for class discovery of medulloblastoma subgroups based on the most informative genes in the dataset. Immunohistochemistry for subgroup-specific signature genes was used to determine subgroup affiliation for 294 non-overlapping medulloblastomas on two independent tissue microarrays (TMAs). Multiple unsupervised analyses of transcriptional profiles identified four distinct, non-overlapping molecular variants: WNT, SHH, Group C, and Group D. Supervised analysis of these four subgroups revealed significant subgroup-specific demographics, histology, metastatic status, and DNA copy number aberrations. Immunohistochemistry for DKK1 (WNT), SFRP1 (SHH), NPR3 (Group C), and KCNA1 (Group D) could reliably and uniquely classify formalin fixed medulloblastomas in ~98% of cases. Group C patients (NPR3 +ve tumors) exhibited a significantly diminished progression free and overall survival irrespective of their metastatic status. Our integrative genomics approach to a large cohort of medulloblastomas has identified four disparate subgroups with distinct demographics, clinical presentation, transcriptional profiles, genetic abnormalities, and clinical outcome. Medulloblastomas can be reliably assigned to subgroups through immunohistochemistry, thereby making medulloblastoma sub-classification widely available. Future research on medulloblastoma and the development of clinical trials should take into consideration these four distinct types of medulloblastoma.
Publication Title
Medulloblastoma comprises four distinct molecular variants.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 35 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Promoter 1.0R Array (hsprompr)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
An integrated genomic approach identifies persistent tumor suppressive effects of transforming growth factor-β in human breast cancer.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Time
View Samples- Homo sapiens
- 24 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Promoter 1.0R Array (hsprompr)
Description
TGF-betas have complex roles in tumorigenesis, with context-dependent effects that can either suppress or promote tumor progression. Our goal was to use integrated genomic approaches in a model of human breast cancer progression to identify core TGF-beta-regulated genes that specifically reflect the tumor suppressor activity of TGF-beta. The model consisted of the non-tumorigenic MCF10A (M1), the premalignant MCF10AT1k.cl2 (M2), the early malignant MCF10Ca1h (M3) and the highly malignant, metastatic MCF10Ca1a.cl1 (M4) cell lines. We have previously shown that tumor suppressor activity of TGF-beta is lost in the highly malignant M4 cells.
Publication Title
An integrated genomic approach identifies persistent tumor suppressive effects of transforming growth factor-β in human breast cancer.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples