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GSE8678
Mus musculus
5 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
At the peak of the CD8 T cell response to acture viral and bacterial infections, expression of the Interleukin-7 Receptor (IL-7R) marks Memory Precursor Effector CD8 T Cells (MPECs) from other Short-Lived Effector CD8 T cells (SLECs), which are IL-7Rlo. This study was designed to determine the gene expression differences between these two subsets of effector CD8 T cells.
Publication Title
Inflammation directs memory precursor and short-lived effector CD8(+) T cell fates via the graded expression of T-bet transcription factor.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 25 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
CD8 T cells normally differentiate from resting nave T cells into function effector and then memory CD8 T cells following acute infections. During chronic viral infections, however, virus-specific CD8 T cells often become exhausted. We used microarrays to examine the gene expression differences between naive, effector, memory and exhausted virus-specific CD8 T cells following lymphocytic choriomeningitis virus infection.
Publication Title
Molecular signature of CD8+ T cell exhaustion during chronic viral infection.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 47 Downloadable Samples
Illumina HiSeq 2000
Description
Purpose: To compare the transcriptomes of activated CD4 T effector cell populations in the presence and absence of STAT3 at 8 days post-infection using high-throughput RNA sequencing analysis. Methods: Cell sorting of the populations was done using the markers Ly6c and PSGL-1 Overall design: CD4 T cell Ly6c and PSGL-1 population mRNA profiles 8 days post-LCMV infection of wild type (WT) and STAT3fl/fl Cd4cre mice were generated by mRNA sequencing using Illumina HiSeq 2000.
Publication Title
The Interleukin-2-mTORc1 Kinase Axis Defines the Signaling, Differentiation, and Metabolism of T Helper 1 and Follicular B Helper T Cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We used gene expression microarrays to identify genes whose expression was influenced differently by TNFa in Fancc-deficient mice compared to wild type (WT) mice. To identify genes whose expression was directly or indirectly influenced by Fancc, we looked in particular for genes either suppressed or induced by TNF in WT cells that were not affected by TNF in Fancc-deficient cells.
Publication Title
FANCL ubiquitinates β-catenin and enhances its nuclear function.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
MRL/Faslpr mice is a lupus prone strain that exhibits lupus disease features at 12-16 weeks of age, including high-titer circulating anti-DNA antibodies, splenomegaly, lymphadnopathy, skin lesions, and IgG deposits in the kidney. At 16-24 weeks of age, CD4+ B220- CD44+ T cells were sorted into three populations based on the expression of two cell surface molecules, CD62L and PSGL1. CD62Lhi PSGL1hi, CD62Llo PSGL1hi, and CD62Llo PSGL1lo CD4+ T cells were isolated directly ex vivo. There was no treatment given to the animals. Naive (CD62Lhi CD44lo) CD4+ B220- T cells were isolated from young 6-8 week old female mice for comparison.
Publication Title
In vivo regulation of Bcl6 and T follicular helper cell development.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 79 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose: Eliciting effective anti-tumor immune responses in patients who fail checkpoint inhibitor therapy is a critical challenge in cancer immunotherapy, and in such patients, tumor-associated myeloid cells and macrophages (TAMs) are promising therapeutic targets. We demonstrate in an autochthonous, poorly immunogenic mouse model of melanoma that combination therapy with an agonistic anti-CD40 mAb and CSF1R inhibitor potently suppressed tumor growth. Microwell assays to measure multiplex protein secretion by single cells identified that untreated tumors have distinct TAM subpopulations secreting MMP9 or co-secreting CCL17/22, characteristic of an M2-like state. Combination therapy reduced the frequency of these subsets, while simultaneously inducing a separate polyfunctional inflammatory TAM subset co-secreting TNF?, IL-6, and IL-12. Tumor suppression by this combined therapy was partially dependent on T cells, TNF? and IFN?. Together, this study demonstrates the potential for targeting TAMs to convert a “cold” into an “inflamed” tumor microenvironment capable of eliciting protective T cell responses. Methods: Total RNA was purified with the use of QIAzol and RNeasy Mini kit (QIAGEN), in which an on-column DNase treatment was included. Purified RNA was submitted to the Yale Center for Genomic Analysis where it was subjected to mRNA isolation and library preparation. Non-strand specific libraries were generated from 50ng total RNA using the SMARTer Ultra Low Input RNA for Illumina Sequencing kit. Libraries were pooled, six samples per lane, and sequenced on an Illumina HiSeq 2500 (75-bp paired end reads), and aligned using STAR to the GRCm38 (mm10) reference genome. A count-based differential expression protocol was adapted for this analysis(Anders et al., 2013); mappable data were counted using HTSeq, and imported into R for differential expression analysis using the DESeq2.To find differentially regulated sets of genes for signature generation, a 1.5-Log2 fold-change difference between samples and p-adjusted (Holm-Sidak) = 0.01 was used. Results: To begin to understand how these treatments modulated T cells to control tumor growth, and to possibly illuminate additional biomarkers of response, we examined the transcriptomes of CD11b+ Ly6G- cells treated with CD40 or CSF1Ri, alone or in combination, relative to control, using high throughput RNA-sequencing. Principal components analysis (PCA) on the genome-wide dataset demonstrated that treating with CD40 and CSF1Ri individually caused largely non-overlapping changes in transcription, as indicated by their movement along orthogonal principal components (PC) relative to the control. Importantly, combination therapy was visualized as a systems-level combination of each individual treatment in PC space. We then examined the mRNAs most altered by either treatment alone or in combination relative to Controls (Log2FC>1.5, p<.01) by unsupervised hierarchical clustering. Five major gene patterns emerged from the clustering of genes. Cluster #1 comprises genes that are upregulated by CD40 and CSF1Ri+CD40 treatment but are mostly unaffected by CSF1Ri, suggesting that CD40 is the primary driver of this cluster in the combination treatment. Notable genes in this cluster include Tnfa, Ifng??Il12b and Cxcl9; interestingly, for Tnfa and Il12b, CSF1Ri+CD40 appears to have a synergistic effect on expression. In contrast to Cluster #1, Cluster #5 contains genes substantially downregulated by CSF1Ri and CSF1Ri+CD40 treatments, but are largely unaffected by CD40, suggesting that CSF1Ri is the driver of this cluster in the combination treatment. Cluster #5 genes include Cd36 and Fabp4, suggesting alterations in lipid homeostasis in the TAMs after treatment. Cluster #2 includes genes that are modestly upregulated by CD40 and CSF1Ri individually, leading to a stronger upregulation when combined. Finally, Clusters #3 and #4 include, for the most part, genes that are differentially affected by CD40 versus CSF1Ri and for which the combination treatment yields an intermediate response. In summary, these data show that CSF1Ri and CD40 agonism elicit predominantly distinct changes in gene expression in the CD11b+ cells, indicating they target different biological processes in myeloid cells. The net result of the changes in myeloid gene expression from the combination of CSF1Ri+CD40 treatment reveal additive effects by the individual treatments, but also synergy in the expression of several pro-inflammatory genes (e.g., Tnfa, Ifng, Il6 and Il12b). We further examined our dataset with Gene Set Enrichment Analysis (GSEA). Although CSF1Ri and CD40 treatments did not closely match any immunological signatures in the immunological database of MSigDb, combined CSF1Ri+CD40 had a strikingly similar signature to myeloid cells exposed to a variety of inflammatory stimulants, most closely reflected by BMDMs treated with lipopolysaccharide (LPS). This motivated us to look specifically at categories of NF-?B target genes that are significantly affected by LPS treatment, including transcription factors, cytokines and chemokines. Indeed, most of these NF-?B target genes associated with inflammation were strongly upregulated by CSF1Ri+CD40 treatment. Finally, Ingenuity Pathway Analysis identified TNFR1 and TNFR2 signaling and Acute phase response signaling among the top genetic signatures produced by the CSF1Ri+CD40 treatment combination, matching what we observed with GSEA. Thus, gene expression analysis not only revealed several biomarkers of response that may be relevant for assessing therapeutic activity in ongoing clinical trials using these drugs, but illuminated lead biological factors that may cause tumor regression. Conclusions: myeloid-targeted immunotherapies anti-CD40+CSF1R inhibition synergistically induce a pro-inflammatory microenviroment Overall design: mRNA profiles of tumor infiltrating lymphocytes (TILs) in mice were generated by deep sequencing, in triplicate, using Illumina.
Publication Title
Myeloid-targeted immunotherapies act in synergy to induce inflammation and antitumor immunity.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
Blimp-1 expression in T cells extinguishes the T follicular helper cell fate and drives terminal differentiation, but also limits autoimmunity. Although various factors have been described to control Blimp-1 expression in T cells, little is known about what regulates Blimp-1 expression in Th2 cells and the molecular basis of its actions. Herein, we report that STAT3 unexpectedly played a critical role in regulating Blimp-1 in Th2 cells. Furthermore, we found that the cytokine IL-10 acted directly on Th2 cells and was necessary and sufficient to induce optimal Blimp-1 expression through STAT3. Together, Blimp-1 and STAT3 amplified IL-10 production in Th2 cells, creating a strong autoregulatory loop that enhanced Blimp-1 expression. Increased Blimp-1 in T cells antagonized STAT5-regulated cell cycle and anti-apoptotic genes to limit cell expansion. These data elucidate the signals required for Blimp-1 expression in Th2 cells and reveal an unexpected mechanism of action of IL-10 in T cells, providing insights into the molecular underpinning by which Blimp-1 constrains T cell expansion to limit autoimmunity. Overall design: RNAseq of activated undifferentiated CD4 T cells with or without exogenous expression of Blimp-1.
Publication Title
IL-10 induces a STAT3-dependent autoregulatory loop in T<sub>H</sub>2 cells that promotes Blimp-1 restriction of cell expansion via antagonism of STAT5 target genes.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The ability to detect and isolate human CD8 TSP (Side population), Nave, Effector memory (EM), Central memory (CM) cells allowed us to compare the global gene expression profiles of these cells. Human TSP cells comprise of distinct gene expression profile specifically enriched for genes overexpressed in TRM cells.
Publication Title
ABC transporters and NR4A1 identify a quiescent subset of tissue-resident memory T cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The goal of this analysis was to utilize microarray profiling to identify basal alterations in gene expression in response to TFAM depletion and mtDNA stress.
Publication Title
Mitochondrial DNA stress primes the antiviral innate immune response.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 10 Downloadable Samples
- IlluminaHiSeq2000
Description
We report that Dnmt1 is crucial during perinatal intestinal development. Loss of Dnmt1 in intervillus progenitor cells causes global hypomethylation, DNA damage, premature differentiation, and apoptosis, and consequently, loss of nascent villi. We further confirm the critical role for Dnmt1 during crypt development using the in vitro organoid culture system, and illustrate a clear differential requirement for Dnmt1 in immature versus mature organoids. These results demonstrate an essential role for Dnmt1 in maintaining genomic stability during intestinal development and the establishment of intestinal crypts. Overall design: We performed RNA-Seq of control and Dnmt1-ablated intestinal progenitor cells isolated from parrafin embedded tissues by laser capture microdissection (LCM).
Publication Title
Dnmt1 is essential to maintain progenitors in the perinatal intestinal epithelium.
Sample Metadata Fields
No sample metadata fields
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