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accession-icon GSE20985
Comparison of gene expression in CD13 wild type versus Knock out Macrophages
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

The robust and consistent expression of the CD13 cell surface marker on very early as well as differentiated myeloid hematopoietic cells has prompted numerous investigations seeking to define roles for CD13 in myeloid cells. To directly address the function of myeloid CD13 we created a CD13 null mouse and assessed the responses of purified primary macrophages or dendritic cells from wild type and CD13 null animals in cell assays and inflammatory disease models where CD13 has been previously implicated. We find that mice lacking CD13 develop normally with normal hematopoietic profiles. Moreover, in in vitro assays, CD13 appears to be largely dispensable for the aspects of phagocytosis, proliferation and antigen presentation that we tested, but may contribute to adhesion to endothelial cells. In vivo assessment of four inflammatory disease models showed that lack of CD13 has little effect on disease onset or progression. Nominal alterations in gene expression levels between CD13 wild type and null macrophages argue against compensatory mechanisms. Analysis of the dataset with Ingenuity Pathway Analysis software did not suggest that loss of CD13 resulted in a purturbation of any specific biological pathways, processes or networks. Therefore, while CD13 is highly expressed on myeloid cells and is a reliable marker of the myeloid lineage of both normal and leukemic cells, it is not a critical regulator of hematopoietic development, hemostasis or myeloid cell function.

Publication Title

CD13 is dispensable for normal hematopoiesis and myeloid cell functions in the mouse.

Sample Metadata Fields

Specimen part

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accession-icon GSE23294
An Association Between Gene Expression and Better Survival in Female Mice Following Myocardial Infarction
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Following myocardial infarction, the prognosis for females is better than males. Estrogen is thought to be protective, but clinical trials with hormone replacement failed to show protection. Here, we sought to identify novel mechanisms that might explain this sex-based difference. By diverging from the traditional focus on sex hormones, we employed a conceptually novel approach to this question by using a non-biased approach to measure global changes in gene expression following infarction.

Publication Title

An association between gene expression and better survival in female mice following myocardial infarction.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE11466
Integrin alpha6-beta4 control the expression of genes associated with cell motility, invasion and metastasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The objective of this study was to determine the gene expression changes mediated by the alpha6beta4 integrin using MDA-MB-435 breast carcinoma cell line under normal culturing conditions (10% FCS in DMEM).

Publication Title

Integrin alpha6beta4 controls the expression of genes associated with cell motility, invasion, and metastasis, including S100A4/metastasin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30952
Microarray expression data from human renal mesangial cells (HMC) treated with a Cyclosporine A (CsA) time course.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

HMCs were treated with CsA (4.2 M) for 0 12 and 48 hours. To exmaine global gene changes in the renal mesangium following CsA treatment in order to identify novel contributors to CsA-induced renal dysfunction

Publication Title

Cyclosporine A--induced oxidative stress in human renal mesangial cells: a role for ERK 1/2 MAPK signaling.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE34028
BW25113 H202 and delta rpoS persister cells vs. stationary phase BW25113 wild-type
  • organism-icon Escherichia coli
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

E. coli K-12 BW25113 persister cells generated via H202 pre-treatment and deletion of rpoS, relative to BW25113 wild-type stationary phase gene expression. Persister cells were generated following exposure to ampicillin 20 ug/mL.

Publication Title

Bacterial persistence increases as environmental fitness decreases.

Sample Metadata Fields

Specimen part, Disease, Treatment, Time

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accession-icon GSE31054
Persistence of BW25113 mqsR producing MqsR 2-1 vs. producing wild-type MqsR with ampicillin
  • organism-icon Escherichia coli k-12
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Persisters are a subpopulation of metabolically-dormant cells in biofilms that are resistant to antibiotics; hence, understanding persister cell formation is important for controlling bacterial infections. Previously we discerned that MqsR and MqsA of Escherichia coli are a toxin/antitoxin pair that influence persister cell production via their regulation of Hha, CspD, and HokA. Here, to gain more insights into the origin of persisters, we used protein engineering to increase the toxicity of toxin MqsR by reasoning it would be easier to understand the effect of this toxin if it were more toxic. We found that two mutations (K3N and N31Y) increase the toxicity four fold and increase persistence 73 fold compared to native MqsR by making the protein less labile. A whole transcriptome study revealed that the MqsR variant represses acid resistance genes (gadABCEWX and hdeABD), multidrug resistance genes (mdtEF), and osmotic resistance genes (osmEY). Corroborating these microarray results, deletion of rpoS as well as the genes that the master stress response regulator RpoS controls, gadB, gadX, mdtF, and osmY, increased persister formation dramatically to the extent that nearly the whole population became persistent. Therefore, the more toxic MqsR increases persistence by decreasing the ability of the cell to respond to antibiotic stress through its RpoS-based regulation of acid resistance, multidrug resistance, and osmotic resistance systems.

Publication Title

Bacterial persistence increases as environmental fitness decreases.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP111520
The effect of genetic background on cognitive and pathological traits: AD-BXD
  • organism-icon Mus musculus
  • sample-icon 108 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Female C57BL/6J mice hemizygous for the 5XFAD transgene (MMRRC Stock No #34848-JAX) were bred to males from BXD strains, which do not carry the 5XFAD transgene. The resulting F1 progeny were monitored throughout their lifespan to evaluate the effect of genetic background on cognitive and pathological traits. All of the mice were fear conditioned and sacrificed within 30 minutes of testing. On the sample records, the characteristics: age field provides the age at which fear conditioning, sacrifice, and tissue collection occurred. Samples here come from various AD-BXD lines and their non-transgenic (Ntg) littermate counterparts at either 6 or 14 months of age. Overall design: 133 samples, 64 Ntg and 69 AD. For final by-strain analysis, samples were averaged into strain/age/genotype/sex groups (For example, all D2 6mo 5XFAD males were averaged for final by-strain analysis)

Publication Title

Harnessing Genetic Complexity to Enhance Translatability of Alzheimer's Disease Mouse Models: A Path toward Precision Medicine.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE13931
Disparate Oxidant-related Gene Expression of Human Small Airway Epithelium Compared to Autologous Alveolar Macrophages
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Disparate Oxidant-related Gene Expression of Human Small Airway Epithelium Compared to Autologous Alveolar Macrophages in Response to the In Vivo Oxidant Stress of Cigarette Smoking

Publication Title

Disparate oxidant gene expression of airway epithelium compared to alveolar macrophages in smokers.

Sample Metadata Fields

Sex, Age

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accession-icon GSE5127
Gene Expression Biomarkers for Predicting Lung Tumors in Two-Year Rodent Bioassays
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to two chemicals that were positive for lung tumors in the two-year rodent bioassay, two chemicals that were negative for tumors, and two vehicle controls. Gene expression analysis was performed on the lungs of the animals to assess the potential for identifying gene expression biomarkers that can predict tumor formation in a two-year bioassay following a 13 week exposure.

Publication Title

A comparison of transcriptomic and metabonomic technologies for identifying biomarkers predictive of two-year rodent cancer bioassays.

Sample Metadata Fields

Sex, Age, Subject

View Samples
accession-icon GSE5128
Gene Expression Biomarkers for Predicting Liver Tumors in Two-Year Rodent Bioassays
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to two chemicals that were positive for liver tumors in the two-year rodent bioassay, two chemicals that were negative for liver tumors, and two vehicle controls. Gene expression analysis was performed on the livers of the animals to assess the potential for identifying gene expression biomarkers that can predict tumor formation in a two-year bioassay following a 13 week exposure.

Publication Title

A comparison of transcriptomic and metabonomic technologies for identifying biomarkers predictive of two-year rodent cancer bioassays.

Sample Metadata Fields

Sex, Age, Subject

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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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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