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accession-icon GSE110225
Expression data from 30 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

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accession-icon GSE107859
Transcriptomic analysis of glioblastoma cells bearing different IRE1a mutants
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Glioblastoma multiforme is the most lethal form of glioma with an overall survival at 5 years nearly null, which mainly results from acquired resistance to therapies. Large scale sequencing studies on human cancer biopsies defined IRE1alpha as the fifth most oncogenic mutated kinase in human cancer. IRE1alpha is a major component of the Unfolded Protein Response signaling and increasing evidence suggests that it is a central player in GBM development.

Publication Title

Dual IRE1 RNase functions dictate glioblastoma development.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE15287
Transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina Mouse Ref-6 V1

Description

Mastic oil from Pistacia lentiscus variation chia, a blend of bioactive terpenes with recognized medicinal properties, has been recently shown to exert anti-tumor activity. Lewis lung carcinoma (LLC) cells are mastic oil-susceptible cells and were used in this work to study the effects of mastic oil at the transcriptomic level.

Publication Title

A transcriptomic computational analysis of mastic oil-treated Lewis lung carcinomas reveals molecular mechanisms targeting tumor cell growth and survival.

Sample Metadata Fields

Cell line

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accession-icon GSE110224
Expression data from 17 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

Colorectal cancer is a highly heterogeneous disease, with variable molecular pathogenesis, involving multiple genomic and epigenetic alterations. Despite the significant advances in the diagnosis and treatment of colorectal cancer, it remains a major cause of morbidity and mortality, especially for countries in Northern America and Europe, as also in New Zealand & Australia. In this direction, the introduction of gene expression signatures derived from multiple layers of molecular & clinical dissection, may resolve the problems of heterogeneity and improve robust disease stratification

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE110223
Expression data from 13 patients with colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Colorectal cancer is a highly heterogeneous disease, with variable molecular pathogenesis, involving multiple genomic and epigenetic alterations. Despite the significant advances in the diagnosis and treatment of colorectal cancer, it remains a major cause of morbidity and mortality, especially for countries in Northern America and Europe, as also in New Zealand & Australia. In this direction, the introduction of gene expression signatures derived from multiple layers of molecular & clinical dissection, may resolve the problems of heterogeneity and improve robust disease stratification.

Publication Title

Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE75588
Transcriptomic analysis of Human Umbilical Vein Endothelial Cells (HUVEC) in response to compound treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human Umbilical Vein Endothelial Cells were treated with three newly synthesized compounds and DMSO as vehicle. Total RNA was isolated 6 and 24h after treatment and gene expression analysis was performed. Three independent experiments were performed, corresponding to rep1, rep2 and rep3. Experiment 1 (rep1) contained all substances at both time points tested. Experiment 2 (rep2) contained two of the compounds and control DMSO at both time points. Experiment 3 (rep3) contained the third compound and control DMSO at both time points.

Publication Title

Novel pyrazolopyridine derivatives as potential angiogenesis inhibitors: Synthesis, biological evaluation and transcriptome-based mechanistic analysis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE144703
Human primary fetal lung fibroblasts (HFL-1) undergoing replicative senescence
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We profiled the global gene expression of human primary fetal lung fibroblasts (HFL-1) at different stages while they were undergoing replicative senescence

Publication Title

Bioinformatic framework for analysis of transcription factor changes as the molecular link between replicative cellular senescence signaling pathways and carcinogenesis.

Sample Metadata Fields

Cell line

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accession-icon GSE92869
Expression data from bone marrow derived DCs stimulated with different peptide-based nanovaccine formulations against L. infantum infection
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Visceral leishmaniasis (VL), caused by Leishmania spp protozoan parasites, can provoke overwhelming and protracted epidemics, with high casefatality rates. Despite extensive efforts towards the development of an effective prophylactic vaccine, no promising vaccine is available yet for humans. Multi-epitope peptide based vaccine development is manifesting as the new era of vaccination strategies against VL. Aim of the study was the design of chimeric peptides from immunogenic L. infantum proteins for encapsulation in PLGA nanoparticles (NPs) alone or in combination with MPLA adjuvant, or in PLGA NPs surface modified with an octapeptide mimicking TNF-alpha for DCs targeting, in order to construct a peptide-based nanovaccine. The in vitro evaluation of the above nanoformulations was performed in DCs isolated from HLA-A2.1 transgenic mice. Characterization of DCs transcriptional responses to these vaccine candidates via microarrays could improve our understanding of their mechanisms of action on DCs' functional differentiation and the type of adaptive immunity subsequently induced.

Publication Title

A Poly(Lactic-<i>co</i>-Glycolic) Acid Nanovaccine Based on Chimeric Peptides from Different <i>Leishmania infantum</i> Proteins Induces Dendritic Cells Maturation and Promotes Peptide-Specific IFNγ-Producing CD8<sup>+</sup> T Cells Essential for the Protection against Experimental Visceral Leishmaniasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE134661
Study of visceral leishmaniasis establishment - Gene expression from (un)infected (non-)vaccinated mouse spleen samples
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Visceral leishmaniasis (VL) caused by Leishmania donovani and L. infantum is a potentially fatal disease. To date there are no registered vaccines for disease prevention despite the fact that several vaccines are in preclinical development. Thus, new strategies are needed to improve vaccine efficacy based on a better understanding of the mechanisms mediating protective immunity and mechanisms of host immune responses subversion by immunopathogenic components of Leishmania. In the present study, determination of the immune mechanisms related to infection or protective immune responses against VL using an experimental nanovaccine as a vaccine model was conducted through microarray analysis.

Publication Title

Transcriptome Analysis Identifies Immune Markers Related to Visceral Leishmaniasis Establishment in the Experimental Model of BALB/c Mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE101896
Transcriptome analysis by expression microarrays of colorectal cancer derived from the Cancer Institute Hospital of Japanese Foundation for Cancer Research.
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We performed the expression microarray experiments for mRNA of colorectal cancer tissue.

Publication Title

No associated publication

Sample Metadata Fields

Sex, 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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