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accession-icon GSE21858
Patterns of gene expression and evolution in the human developing cerebral cortex
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.

Publication Title

Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE6401
Up-regulation of translational machinery and distinct genetic subgroups characterize hyperdiploidy in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 102 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Karyotypic instability, including numerical and structural chromosomal aberrations, represents a distinct feature of multiple myeloma (MM). 40-50% of patients displayed hyperdiploidy, defined by recurrent trisomies of non-random chromosomes. To characterize hyperdiploid (H) and nonhyperdiploid (NH) MM molecularly, we analyzed the gene expression profiles of 66 primary tumors, and used FISH to investigate the major chromosomal alterations. The differential expression of 225 genes mainly involved in protein biosynthesis, transcriptional machinery and oxidative phosphorylation distinguished the 28 H-MM from the 38 NH-MM cases. The 204 upregulated genes in H-MM mapped mainly to the chromosomes involved in hyperdiploidy, and the29% up-regulated genes in NH-MM mapped to 16q. The identified transcriptional fingerprint was robustly validated on a publicly available gene expression dataset of 64 MM cases; and the global expression modulation of regions on the chromosomes involved in hyperdiploidy was verified using a self-developed non-parametric statistical method. We showed that H-MM could be further divided into two distinct molecular and transcriptional entities, characterized by the presence of trisomy 11 and 1q-extracopies/chromosome 13 deletion, respectively. Our data reinforce the importance of combining molecular cytogenetics and gene expression profiling to define a genomic framework for the study of MM pathogenesis and clinical management.

Publication Title

Upregulation of translational machinery and distinct genetic subgroups characterise hyperdiploidy in multiple myeloma.

Sample Metadata Fields

Sex

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accession-icon GSE42220
Gene expression data from differentiated 3T3-L1 preadipocytes treated with Palmitic Acid, Stearic Acid, Palmitoleic Acid, or Oleic Acid
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Saturated fatty acids (SFA) are widely thought to induce inflammation in adipose tissue (AT), while monounsaturated fatty acids (MUFA) are purported to have the opposite effect; however, it is unclear if individual SFA and MUFA behave similarly. Our goal was to examine adipocyte transcriptional networks regulated by individual SFA (palmitic acid, PA; stearic acid, SA) and MUFA (palmitoleic acid, PMA; oleic acid, OA).

Publication Title

Individual saturated and monounsaturated fatty acids trigger distinct transcriptional networks in differentiated 3T3-L1 preadipocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE6365
Distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities.

Publication Title

Integrative genomic analysis reveals distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma.

Sample Metadata Fields

Sex

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accession-icon GSE6205
Human myeloma cell lines gene expression profiling
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In order to investigate the patterns of genetic lesions in a panel of 23 Human Multiple Myeloma Cell Lines (HMCLs), we made a genomic integrative analysis involving FISH and both gene expression and genome-wide profiling approaches. The expression profiles of the genes targeted by the main IGH translocations showed that the WHSC1/MMSET gene involved in t(4;14)(p16;q32) was expressed at different levels in all of the HMCLs, and that the expression of the MAF gene was not restricted to the HMCLs carrying t(14;16)(q32;q23). Supervised analyses identified a limited number of genes specifically associated with t(4;14) and involved in different biological processes. The signature related to MAF/MAFB expression included the known MAF target genes CCND2 and ITGB7, as well as genes controlling cell shape and cell adhesion. Genomewide DNA profiling allowed the identification of a gain on chromosome arm 1q in 88% of the analyzed cell lines, together with recurrent gains on 8q, 18q, 7q and 20q; the most frequent deletions affected 1p, 13q, 17p and 14q; and almost all of the cell lines presented LOH on chromosome 13. Two hundred and twenty-two genes were found to be simultaneously overexpressed and amplified in our panel, including the BCL2 locus at 18q21.33. Our data further support the evidence of the genomic complexity of multiple myeloma and reinforce the role of an integrated genomic approach in improving our understanding of the molecular pathogenesis of the disease.

Publication Title

Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE74143
Whole blood gene expression from subjects with moderate to severe rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 376 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.

Publication Title

Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE49156
Identification of SDPR as a metastasis suppressor gene
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify metastasis suppressor genes, which are functionally compromised in late-stage breast cancer, we compared the gene expression profiles of an established breast cancer progression cell line model and leveraged large amounts of publically available data by applying multiple bioinformatics filters. Here we report the identification of serum deprivation response (SDPR, also known as cavin-2) as a bona fide metastasis suppressor, capable of impairing the metastatic growth of cancer cells while having no effect on the growth of primary tumors.

Publication Title

SDPR functions as a metastasis suppressor in breast cancer by promoting apoptosis.

Sample Metadata Fields

Disease, Disease stage, Cell line

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accession-icon GSE57677
Targeting IL13Ralpha2 activates STAT6-TP63 pathway to suppress breast cancer lung metastasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

IL13R2 overexpression promotes metastasis of basal-like breast cancers

Publication Title

Targeting IL13Ralpha2 activates STAT6-TP63 pathway to suppress breast cancer lung metastasis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP061855
Identification of qkia/c target genes
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

Quaking are RNA binding proteins, which are known to regulate the expression of different genes at the post-transcriptional level. Genetic interference with quaking a (qkia) and quaking c (qkic) leads to major myofibril defects during zebrafish development, without affecting early muscle differentiation. In order to understand how qkia and qkic jointly regulate myofibril formation, we performed a comparative analysis of the transcriptome of qkia/qkic (qkia mutant injected with qkic morpholino) versus control embryos. We show that Quaking activity is required for accumulation of the muscle-specific tropomyosin 3 transcript, tpm3.1. Whereas interference with tmp3.1 function disrupts myofibril formation, reintroducing tpm3.1 transcripts into embryos with reduced Quaking activity can restore structured myofibrils. Thus, we identify tropomyosin as an essential component in the process of myofibril formation and as a relay downstream of the regulator proteins Quaking. Overall design: Transcriptome of control versus qkia/qkic embryos at 24-26hpf. Biological triplicate were prepared for both condition (3x2 samples).

Publication Title

Quaking RNA-Binding Proteins Control Early Myofibril Formation by Modulating Tropomyosin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28582
Gene Copy Number Aberrations are Associated with Survival in Histological Subgroups of Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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