refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 4651 results
Sort by

Filters

Technology

Platform

accession-icon GSE115313
Transcriptomics analysis of paired tumor and normal mucosa samples in a cohort of patients with colon cancer, with and without T2DM.
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This is a transcriptomics analysis contributing to a bigger project that tries to shed light on the role of type 2 diabetes mellitus (T2DM) as a risk factor for colon cancer (CC). Here we present a gene expression screening of paired tumor and normal colon mucosa samples in a cohort of 42 CC patients, 23 of them with T2DM. Using gene set enrichment, we identified an unexpected overlap of pathways over-represented in diabetics compared to non-diabetics, both in tumor and normal mucosa, including diabetes-related metabolic and signaling processes. An integration with other -omic studies suggests that in diabetics, the local micro-environment in normal colon mucosa may be a factor driving field cancerization which may promote carcinogenesis. Several of these pathways converged on the tumor initiation axis TEAD/YAP-TAZ. Cell culture studies confirmed that high glucose concentrations upregulate this pathway in non-tumor colon cells. In conclusion, diabetes is associated to deregulation of cancer-related processes in normal colon mucosa adjacent to tissue which has undergone a malignant transformation. These data support the existence of the field of cancerization paradigm in diabetes and set a new framework to study link between diabetes and cancer.

Publication Title

Molecular evidence of field cancerization initiated by diabetes in colon cancer patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE115329
Transcriptomics analysis of Colon tumor xenograft model in streptozotocin-induced diabetic mice
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This is a transcriptomics analysis contributing to a bigger project that tries to shed light on the role of type 2 diabetes mellitus (T2DM) as a risk factor for colon cancer (CC). Here we present a gene expression screening of 7 colon tumor xenograft samples, 2 with diabetic mice and 5 with normal blood glucose levels. For xenograft model details see: Prieto I, et al. (2017) Colon cancer modulation by a diabetic environment: A single institutional experience. PLoS One 12(3):e0172300

Publication Title

Molecular evidence of field cancerization initiated by diabetes in colon cancer patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54522
Influence of olive pollen stimuli on the gene- expression profile in healthy controls and allergic patients
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene-expression profiles with microarrays can be very useful to dissect specific responses and to characterize with a global view, new elements for improving the diagnosis, treatment and understanding of allergic diseases. We have used this approach for studying the olive pollen response, taking advantage our previous results of T-cell epitope mapping on Ole e 1 molecule (the major allergen from olive pollen) in order to analyze the stimuli influence on the gene-expression of olive pollen allergic patients. Peripheral blood mononuclear cells (PBMCs) from 6 healthy controls and 6 allergic subjects were stimulated 24 hours with olive pollen stimuli: Ole e 1 molecule and two Ole e 1 peptides previously defined as P2+3 (aa10-31), mainly recognized by non-allergic subjects (possible immunoregulatory epitope) and P10+12+13 (aa90-130), immunodominant T-cell epitope. RNA extracted from basal and stimulated PBMCs was analyzed by HuGeU133 plus 2.0 GeneChip, Affymetrix (38.500genes). After assessment of data quality by standard quality checks and principal components analysis (PCA), differential gene-expression by experimental conditions was performed by multiple testing, using microarrays specific software. Differences in functional analysis were performed by KEGG, for pathways and Gene-Ontology for biological process. The results of gene-expression by PCA showed differential clusters that correlated with the experimental conditions from samples of allergic patients. Analysis of differential gene-expression by multiple testing, and functional analysis by KEGG and Gene-Ontology revealed differential genes and pathways among the 4 experimental conditions.

Publication Title

Therapeutic targets for olive pollen allergy defined by gene markers modulated by Ole e 1-derived peptides.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE37157
GENE-EXPRESSION ANALYSIS RELATED TO OLIVE POLLEN ALLERGY
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene-expression profiles by microarrays can be very useful to characterize new potential candidate genes, key regulatory networks, and to define phenotypes or molecular signatures to improve the diagnosis or classification of the disease. We have used this approach in the study of one of the major causes of allergic diseases in Mediterranean countries, the olive pollen response, in order to find differential molecular markers among five clinical groups, Non-allergic, Asymptomatic, Allergic but not to olive pollen, Non-treated, olive pollen allergic patients and Olive pollen allergic patients (under specific-immunotherapy). The results of gene-expression by principal components analysis (PCA) clearly showed five clusters of samples that correlated with the five clinical groups. Analysis of differential gene-expression by multiple testing, and functional analysis by KEGG and Gene-Ontology revealed differential genes and pathways among the 5 clinical groups.

Publication Title

Differential gene-expression analysis defines a molecular pattern related to olive pollen allergy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37548
Expresion profile of MEF reprogrammed with Yamanakas factor together with FoxA2 and Gata4
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In a pilot experiment to reprogramme MEF into endoderm, we infected MEF with the Yamanakas factors (O: Oct4, K: Klf4, S: Sox2, M:Myc), FoxA2 (F) and Gata4 (G). Global gene expression of isolated clones was performed.

Publication Title

Gata4 blocks somatic cell reprogramming by directly repressing Nanog.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51467
Expresion profile of TGR-1 (Myc+/+) and HO15.19 (Myc-/-) infected with a retrovirus expressing Hhex or GFP (controls)
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

The aim of this experiment is to determine Hhex targets in the presence and absence of Myc.

Publication Title

Growth-promoting and tumourigenic activity of c-Myc is suppressed by Hhex.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE37014
PFT1, the MED25 subunit of the plant Mediator complex, promotes flowering through CONSTANS dependent and independent mechanisms in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Two aspects of light are very important for plant development: the length of the light phase or photoperiod and the quality of incoming light. Photoperiod detection allows plants to anticipate the arrival of the next season, whereas light quality, mainly the red to far-red ratio (R:FR), is an early signal of competition by neighbouring plants. phyB represses flowering by antagonising CO at the transcriptional and post-translational levels. A low R:FR decreases active phyB and consequently increases active CO, which in turn activates the expression of FT, the plant florigen. Other phytochromes like phyD and phyE seem to have redundant roles with phyB. PFT1, the MED25 subunit of the plant Mediator complex, has been proposed to act in the light-quality pathway that regulates flowering time downstream of phyB. However, whether PFT1 signals through CO and its specific mechanism are unclear. Here we show that CO-dependent and -independent mechanisms operate downstream of phyB, phyD and phyE to promote flowering, and that PFT1 is equally able to promote flowering by modulating both CO-dependent and -independent pathways. Our data are consistent with the role of PFT1 as an activator of CO transcription, and also of FT transcription, in a CO-independent manner. Our transcriptome analysis is also consistent with CO and FT genes being the most important flowering targets of PFT1. Furthermore, comparison of the pft1 transcriptome with transcriptomes after fungal and herbivore attack strongly suggests that PFT1 acts as a hub, integrating a variety of interdependent environmental stimuli, including light quality and jasmonic acid-dependent defences.

Publication Title

PFT1, the MED25 subunit of the plant Mediator complex, promotes flowering through CONSTANS dependent and independent mechanisms in Arabidopsis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54363
Effect of L. rhamnosus GR-1 and L. reuteri RC-14 on host responses in a trial of post-menopausal women
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

A lactobacilli dominated microbiota in most pre and post-menopausal women is an indicator of vaginal health. A Nugent scoring system serves as a proxy for determining the ratio of lactobacilli to other vaginal inhabitants where a high score usually represents a diseased state, whilst an intermediate score represents a warning zone. The objective of this double blinded, placebo-controlled crossover study was to evaluate in 14 post-menopausal women with an intermediate score, the effect of vaginal administration of probiotic L. rhamnosus GR-1 and L. reuteri RC-14 on the microbiota and host response. The probiotic treatment did not result in changes to clinical parameters such as dryness, irritation and comfort, compared to when placebo was applied. Analysis using 16S rRNA sequencing and metabolomics profiling revealed that the proportional abundance of Lactobacillus was increased following probiotic administration as compared to placebo, which was weakly associated with an increase in lactate levels. Analysis of host responses by microarray showed the probiotics had an immune-modulatory response and multiplex cytokine analysis showed up-regulation of IL-5. This is the first study to use an interactomic approach for the study of vaginal probiotic administration in post-menopausal women. It shows that in some cases multifaceted approaches are required to detect the subtle trigger molecular changes induced by the host to instillation of probiotic strains.

Publication Title

A systems biology approach investigating the effect of probiotics on the vaginal microbiome and host responses in a double blind, placebo-controlled clinical trial of post-menopausal women.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE12454
The SWI/SNF protein ATRX co-regulates pseudoautosomal genes that have translocated to autosomes in the mouse genome
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Pseudoautosomal regions (PAR1 and PAR2) in eutherians retain homologous regions between the X and Y chromosomes that play a critical role in the obligatory X-Y crossover during male meiosis. Genes that reside in the PAR1 are exceptional in that they are rich in repetitive sequences and undergo a very high rate of recombination. Remarkably, murine PAR1 homologs have translocated to various autosomes, reflecting the complex recombination history during the evolution of the mammalian X chromosome. We now report that the SNF2-type chromatin remodeling protein ATRX controls the expression of eutherians ancestral PAR1 genes that have translocated to autosomes in the mouse. In addition, we have identified two potentially novel mouse PAR1 orthologs. We propose that the ancestral PAR1 genes share a common epigenetic environment that allows ATRX to control their expression.

Publication Title

The SWI/SNF protein ATRX co-regulates pseudoautosomal genes that have translocated to autosomes in the mouse genome.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE26761
Vaginal epithelial gene expression in postmenopausal women suffering from vaginal dryness
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The onset of menopause is accompanied by a dramatic increase in reported symptoms of vaginal dryness, soreness, irritation or itching, pain with intercourse and bleeding after intercourse. Collectively these affect 25-50% of women of post-menopausal age and significantly impact their quality of life. To examine how gene expression differs between these groups, surface vaginal epithelial cells were collected from postmenopausal women suffering from vaginal dryness and appropriate controls not suffering from dryness.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact