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accession-icon GSE47379
1833 cells expressing RKIP vs control
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

RKIP and HMGA2 regulate breast tumor survival and metastasis through lysyl oxidase and syndecan-2.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE47378
Gene expression data from 1833 cells expressing RKIP vs control
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

RKIP regulates human breast tumor metastasis. We use gene expression array analysis to identify genes regulated by RKIP in human breast cancer cells.

Publication Title

RKIP and HMGA2 regulate breast tumor survival and metastasis through lysyl oxidase and syndecan-2.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE8608
MDM from COPD patients and healthy subjects after treatment with LPS or fine and ultrafine particles
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study gene expression of monocyte-derived macrophages (MDM) from chronic obstructive pulmonary disease (COPD) patients and healthy subjects was investigated. MDM were treated with LPS, a combination of fine TiO2 and ultrafine Printex90 particles, or remained untreated.

Publication Title

Tissue-specific induction of ADAMTS2 in monocytes and macrophages by glucocorticoids.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE43741
HMGA2/TET1/HOXA9 pathway regulates breast cancer growth and metastasis.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HMGA2, Tet1 and HOXA9 are all regulated human breast tumorigenesis. We use gene expression array analysis to identify and compare the genes regulated by HMGA2, Tet1 and/or HOXA9 in human breast cancer cells.

Publication Title

HMGA2/TET1/HOXA9 signaling pathway regulates breast cancer growth and metastasis.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE17256
Comparison of gene expression profiles between human and mouse monocyte subsets [mouse data]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Human and mouse blood each contain two monocyte subsets. Here, we investigated the extent of their similarity using a microarray approach. Approximately 300 genes in human and 550 genes in mouse were differentially expressed between subsets. More than 130 of these gene expression differences were conserved between mouse and human monocyte subsets. We confirmed numerous differences at the cell surface protein level. Despite overall conservation, some molecules were conversely expressed between the two species subsets, including CD36, CD9, and TREM-1. Furthermore, other differences existed, including a prominent PPAR signature in mouse monocytes absent in human. Overall, human and mouse monocyte subsets are far more broadly conserved than currently recognized. Thus, studies in mice may indeed yield relevant information regarding the biology of human monocyte subsets. However, differences between the species deserve consideration in models of human disease studied in the mouse.

Publication Title

Comparison of gene expression profiles between human and mouse monocyte subsets.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18565
Comparison of gene expression profiles between human and mouse monocyte subsets [human data]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human and mouse blood each contain two monocyte subsets. Here, we investigated the extent of their similarity using a microarray approach. Approximately 300 genes in human and 550 genes in mouse were differentially expressed between subsets. More than 130 of these gene expression differences were conserved between mouse and human monocyte subsets. We confirmed numerous differences at the cell surface protein level. Despite overall conservation, some molecules were conversely expressed between the two species subsets, including CD36, CD9, and TREM-1. Furthermore, other differences existed, including a prominent PPAR signature in mouse monocytes absent in human. Overall, human and mouse monocyte subsets are far more broadly conserved than currently recognized. Thus, studies in mice may indeed yield relevant information regarding the biology of human monocyte subsets. However, differences between the species deserve consideration in models of human disease studied in the mouse.

Publication Title

Comparison of gene expression profiles between human and mouse monocyte subsets.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE34515
Gene expression profiles of human blood classical monocytes (CD14++CD16-), CD16 positive monocytes (CD14+16++ and CD14++CD16+), and CD1c+ CD19- dendritic cells [human data]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study gene expression of human blood classical monocytes (CD14++CD16-), CD16 positive monocytes (consisting of non-classical CD14+16++ and intermediate CD14++CD16+ monocytes) and CD1c+ CD19- dendritic cells from healthy subjects were investigated.

Publication Title

Transcript profiling of CD16-positive monocytes reveals a unique molecular fingerprint.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8745
Low R:FR treatment at 16 and 22 degrees
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The purpose of this experiment was to identify genes responding differently to a 24 h low red to far red ratio (R:FR) treatment in plants grown at 16 and 22 degrees

Publication Title

Light-quality regulation of freezing tolerance in Arabidopsis thaliana.

Sample Metadata Fields

Age

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accession-icon E-MEXP-34
Transcription profiling time course experiment performed over 24 hours to look at the effects on gene expression of exposure to low red:far-red ratio light in Arabidopsis thaliana plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis Genome Array (ag)

Description

This experiment was a time course performed over 24 hours to look at the effects on gene expression of exposure to low red:far-red ratio light in Arabidopsis thaliana plants. In this way genes involved in the shade avoidance response might be identified. This experiment was designed for gene identification only and containes no replicates,genes identified were verified by quantitative PCR for publication.

Publication Title

Gating of the rapid shade-avoidance response by the circadian clock in plants.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE26869
Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks.

Publication Title

Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.

Sample Metadata Fields

Specimen part

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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