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Mus musculus
638 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Gene-expression microarray datasets generated as part of the Immunological Genome Project (ImmGen). Primary cells from multiple immune lineages are isolated ex-vivo, primarily from young adult B6 male mice, and double-sorted to >99% purity. RNA is extracted from cells in a centralized manner, amplified and hybridized to Affymetrix 1.0 ST MuGene arrays. Protocols are rigorously standardized for all sorting and RNA preparation. Data is released monthly in batches of cell populations.
Publication Title
Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.
Sample Metadata Fields
Sex, Age
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GSE75306- Mus musculus
- 154 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment, Time
View Samples- Mus musculus
- 26 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We analyze the expression profile of ISGs in the context of IFNAR1-KO primary murine B cells and macrophages. These analses were used to define ISG gene sets that are under tonic control. Furthermore, these analyses enabled the definition of ISGs that are dependent on Tyk2 signaling.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age
View Samples GSE112876- Mus musculus
- 22 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We report cell specific responses to IFNg in 11 different peripheral immunocyte populations in the mouse. These cells represent the core ImmGen immunocyte lineage panel. Profiles from these were used to analyze cell specific responses to IFNg. In general a core set of ISG transcripts are induced in all cells. Smaller sets of ISGs were induced in a cell specific manner. In particular, splenic granulocytes and dendritic cells show restriced indcution of sets of ISGs.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 17 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
B cells respond robustly to IFNa. Here we analyze gene expression profiles of primary murine splenic B cells treated with 10 fold serially diluted IFNa in vitro. We explore sensitivity to ISGs to IFNa as they relate to dose. Generally ISGs do not cluster significantly in a dose dependent manner. However there are notable spreads in sensitivity to IFNa.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We seeked to determine in vivo effects of IFNg and IFNa response in peritoneal cavity macrophages. These cells were part of ImmGen Interferon cytokine study and immunocytes were sorted according to Immgen's standard lineage panel. Profiles from peritoneal cavity macrophages were used to analyze cell specific responses to IFNg.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples GSE75195- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We describe finely resolved kinetics of the transcriptional response to IFNa in B cells in vivo. Temporal changes in expression of the most robustly induced ISGs were analyzed across 23 (15min - 15hrs) timepoints. Most ISGs reach peak induction at approximately 2hrs and generally in a synchronus manner. These analses provide insight into the regulatory network structure of IFN responses.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age
View Samples GSE75202- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We report cell specific responses to IFNa in 11 different peripheral immunocyte populations in the mouse. These cells represent the core ImmGen immunocyte lineage panel. Profiles from these were used to analyze cell specific responses to IFNa. In general a core set of ISG transcripts are induced in all cells. Smaller sets of ISGs were induced in a cell specific manner. In particular, splenic granulocytes and dendritic cells show restriced indcution of sets of ISGs.
Publication Title
Parsing the Interferon Transcriptional Network and Its Disease Associations.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 157 Downloadable Samples
NextSeq 500
Description
Primary RNAseq data for 103 highly purified immunocyte populations representing all lineages and several differentiation cascades, profiled using the ImmGen ULI pipeline. Overall design: These RNAseq profiles were generated by ImmGen labs in a combined study associating RNAseq and ATACseq performed on cell populations sorted in parallel (companion ATACseq datasets are found in GSE100738). The 103 cell populations include all adaptive and innate lymphocytes (B, abT, gdT, Innate-Like Lymphocytes), myeloid cells (dendritic cells, macrophages, monocytes), mast cells and neutrophils. Most were prepared from baseline unchallenged mice, some after cell activation (LPS, anti-CD3, viral infection). For B and T lymphocytes, many successive steps of their known differentiation cascades in the thymus and bone marrow are included. ---------------------------------------- Immunological Genome Project Consortium
Publication Title
The cis-Regulatory Atlas of the Mouse Immune System.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 147 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Molecular signatures to improve diagnosis in PTCL and prognostication in angioimmunoblastic T-cell lymphoma (AITL). Gene expression profiling of PTCL patient samples was performed to investigate whether molecular signatures can be used to identify distinct entities of PTCL.
Publication Title
Molecular signatures to improve diagnosis in peripheral T-cell lymphoma and prognostication in angioimmunoblastic T-cell lymphoma.
Sample Metadata Fields
Sex, Age, Specimen part
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