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accession-icon GSE55662
Plasticity of transcriptional regulation under antibiotic stress
  • organism-icon Escherichia coli k-12
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Evolution of antibiotic resistance in microbes is frequently achieved by acquisition of spontaneous mutations during antimicrobial therapy. Here we demonstrate that inactivation of a central regulator of iron homeostasis (fur) facilitates laboratory evolution of ciprofloxacin resistance in Escherichia coli. To decipher the underlying molecular mechanisms, we first performed a global transcriptome analysis and demonstrated a substantial reorganization of the Fur regulon in response to antibiotic treatment. We hypothesized that the impact of Fur on evolvability under antibiotic pressure is due to the elevated intracellular concentration of free iron and the consequent enhancement of oxidative damage-induced mutagenesis. In agreement with expectations, over-expression of iron storage proteins, inhibition of iron transport, or anaerobic conditions drastically suppressed the evolution of resistance, while inhibition of the SOS response-mediated mutagenesis had no such effect in fur deficient population. In sum, our work revealed the central role of iron metabolism in de novo evolution of antibiotic resistance, a pattern that could influence the development of novel antimicrobial strategies.

Publication Title

Perturbation of iron homeostasis promotes the evolution of antibiotic resistance.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4183
Inflammation, adenoma and cancer: objective classification of colon biopsy specimens with gene expression signature
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and Aims: Gene expression analysis of colon biopsies using high-density oligonucleotide microarray can contribute to the understanding of local pathophysiological alterations and to functional classification of precancerous adenoma, different stage colorectal carcinomas (CRC) and inflammatory bowel diseases (IBD).

Publication Title

Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11812
Gene expression profile of cancer cell lines of different origin
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profile of cancer cell lines of breast, lung, pancreatic, gasctric, ovarian, hepatocellular, prostate carcinomas and melanomas.

Publication Title

Gene expression profiling of 30 cancer cell lines predicts resistance towards 11 anticancer drugs at clinically achieved concentrations.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3929
Anthracycline treatment and resistance in four human cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2), Affymetrix Human Genome U133A Array (hgu133a)

Description

Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a virtual array composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects.

Publication Title

PSMB7 is associated with anthracycline resistance and is a prognostic biomarker in breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE39857
The RALA pathway can maintain the proliferation of KRAS- and BRAF-mutated cancer cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

By silencing of RALA, a downstream member of the RAS signal transduction pathway, we aimed to determine whether genes downstream of a mutated KRAS (codon 12 or 13) or a mutated BRAF can have significant functions in colorectal cancer carcinogenesis.

Publication Title

Effects of RAL signal transduction in KRAS- and BRAF-mutated cells and prognostic potential of the RAL signature in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE3926
Anthracycline treatment and resistance in four human cancer cell lines (HGU133A)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a virtual array composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects.

Publication Title

PSMB7 is associated with anthracycline resistance and is a prognostic biomarker in breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4182
Genetic background of the polygenic neural tube defect
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In polygenic disorders we do not know exactly, how many genes are involved in the pathomechanism, but the analysis of fetal gene expression can get us closer to the solution. In our study we were searching for the genetic background of the polygenic neural tube defect, which is the second most common birth defect in the world (1 in 1000 live births). Our data revealed novel candidate genes, like SLAP, LST1 and BENE, which can play an important role in the pathogenesis of neural tube defects. We created a data warehouse from the results, suitable for further analysis. This study also demonstrates that a routinely collected amount of amniotic fluid (as small as 6 mL) is enough to successfully hybridize isolated RNA to expression arrays, making the ability to use the technique from normally collected amniotic fluid samples.

Publication Title

Use of routinely collected amniotic fluid for whole-genome expression analysis of polygenic disorders.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE3927
Anthracycline resistance in four human cancer cell lines (HGU95A)
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a virtual array composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects.

Publication Title

PSMB7 is associated with anthracycline resistance and is a prognostic biomarker in breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68753
Deciphering a functional gene network underlying robustness to protein overproduction
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We systematically investigated the impact of genetic variation and the environment on protein overproduction costs in Saccharomyces cerevisiae

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE83378
The drought-responsive gene expression in rice panicle
  • organism-icon Oryza sativa
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

The young panicles 2 cm length were used for expression analysis in well watered control and drought stressed treatment. The panicle samples from biological replicates of six rice varieties were obtained in three independent experiments. The expression profiles were generated using Affymetrix rice genome arrays.

Publication Title

Comparative Analysis of Expression Profiles of Panicle Development among Tolerant and Sensitive Rice in Response to Drought Stress.

Sample Metadata Fields

Specimen part, Treatment

View Samples
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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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