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accession-icon GSE22306
Integrative genomics identifies molecular alterations that differentiate superficial spreading and nodular melanoma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.

Sample Metadata Fields

Cell line

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accession-icon GSE22301
Gene expression data from melanoma cell lines and melanocyte controls
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The two most common melanoma histopathologic subtypes, superficial spreading (SSM) and nodular melanoma (NM), are believed to represent sequential phases of linear progression from radial to vertical growth. Studies suggest, however, that SSM and NM are biologically distinct. We utilized an integrative genomic approach to examine the possibility that SSM and NM are the result of independent pathways characterized by unique molecular alterations. Cell lines including SSM, NM, metastatic melanoma, and melanocyte controls were evaluated for copy number changes and differential mRNA expression using single nucleotide polymorphism array (SNP 6.0, Affymetrix) and gene array (U133A 2.0, Affymetrix). Data sets were integrated to identify copy number alterations that correlated with gene expression, and array results were validated using immunohistochemistry on human tissue microarrays (TMAs) and an external data set. The functional effect of genomic deletion was assessed by lentiviral overexpression. Integrative genomics revealed 8 genes in which NM/SSM-specific copy number alterations were correlated with NM/SSM differential gene expression (P<0.05, Spearmans rank). Pathways analysis of differentially expressed genes (N=114) showed enrichment for metabolic-related processes. SSM-specific genomic deletions (DIS3, MTAP, G3BP2, SEC23IP, USO1) were verified in an expanded panel of cell lines, and forced overexpression of MTAP in SSM resulted in reduced cell growth. Metabolism-related gene ALDH7A1 was verified as overexpressed in NM using human TMAs.The identification of recurrent genomic deletions in SSM not present in NM challenges the linear model of melanoma progression and supports the unique molecular classification of SSM and NM.

Publication Title

Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.

Sample Metadata Fields

Cell line

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accession-icon GSE26736
Mulcom: a multiple comparison statistical test for microarray data in Bioconductor
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Mulcom: a multiple comparison statistical test for microarray data in Bioconductor.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE26732
Mulcom: a multiple comparison statistical test for microarray data in Bioconductor (Affymetrix)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background

Publication Title

Mulcom: a multiple comparison statistical test for microarray data in Bioconductor.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE27175
Formalin Fixation at Low Temperature Better Preserves Nucleic Acid Integrity
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

INTRODUCTION. Fixation with formalin, a widely adopted procedure to preserve tissue samples, leads to extensive degradation of nucleic acids and thereby compromises procedures like microarray-based gene expression profiling. We hypothesized that RNA fragmentation is caused by activation of RNAses during the interval between formalin penetration and tissue fixation. To prevent RNAse activation, a series of tissue samples were kept under-vacuum at 4C until fixation and then fixed at 4C, for 24 hours, in formalin followed by 4 hours in ethanol 95%.

Publication Title

Formalin fixation at low temperature better preserves nucleic acid integrity.

Sample Metadata Fields

Specimen part

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accession-icon GSE89997
Expression data from 2 cohorts of human pancreatic ductal adenocarcinoma (PDAC) tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes

Publication Title

Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE8711
Knock-in of Kras G12D in mouse MLP-29 cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconSentrix MouseRef-8 Expression BeadChip (Target ID)

Description

KRAS mutations are present at a high frequency in human cancers. The development of therapies targeting mutated KRAS requires cellular and animal preclinical models. We exploited adeno-associated virus-mediated homologous recombination to insert the KRAS G12D allele in the genome of mouse somatic cells. Heterozygous mutant cells displayed a constitutively active Kras protein, marked morphologic changes, increased proliferation and motility but were not transformed. On the contrary, mouse cells in which we overexpressed the corresponding KRAS cDNA were readily transformed. The levels of Kras activation in knock-in cells were comparable with those present in human cancer cells carrying the corresponding mutation. KRAS-mutated cells were compared with their wild-type counterparts by gene expression profiling, leading to the definition of a "mutated KRAS-KI signature" of 345 genes. This signature was capable of classifying mouse and human cancers according to their KRAS mutational status, with an accuracy similar or better than published Ras signatures. The isogenic cells that we have developed recapitulate the oncogenic activation of Kras occurring in cancer and represent new models for studying Kras-mediated transformation. Our results have implications for the identification of human tumors in which the oncogenic KRAS transcriptional response is activated and suggest new strategies to build mouse models of tumor progression.

Publication Title

Knock-in of oncogenic Kras does not transform mouse somatic cells but triggers a transcriptional response that classifies human cancers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77167
Differential gene expression analysis of peripheral blood leukocytes reveals overexpression of tumor progression-related genes in patients with intra-abdominal infection after surgery for colon cancer: a prospective matched cohort study
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim was to investigate the effect of postoperative intra-abdominal infection on the gene expression patterns of peripheral blood leukocytes (PBL) after surgery for colorectal cancer

Publication Title

Peripheral blood leucocytes show differential expression of tumour progression-related genes in colorectal cancer patients who have a postoperative intra-abdominal infection: a prospective matched cohort study.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE64352
AtNIGT1/HRS1 TARGET approach
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This work studies the impact of AtNIGT1/HRS1-GR entrance in the nucleus upon DEX treatment in protoplasts.

Publication Title

AtNIGT1/HRS1 integrates nitrate and phosphate signals at the Arabidopsis root tip.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE71737
Response of Arabidopsis roots to combinations of nitrogen and hormonal signals
  • organism-icon Arabidopsis thaliana
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Living organisms have to cope with multiple and combined fluctuations in their environment. According to their sessile mode of life, plants are even more subjected to such fluctuations impacting their physiology and development. In particular, nutrient availability is known to tune plant development through modulating hormonal signaling, and conversely, hormonal signals are key to control nutrient related signaling pathways (Krouk et al., 2011a). However, very few is known about molecular mechanisms leading to plant adaptation to such combined signals. Here we deployed an unprecedented combinatorial treatment matrix to reveal plant adaptation in response to nitrate (NO3-), ammonium (NH4+), auxin (IAA), cytokinins (CK) and abscisic acid (ABA) and their exhaustive binary combinations.

Publication Title

Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root.

Sample Metadata Fields

Specimen part, Time

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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)

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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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