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GSE43798
Mus musculus
10 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The following abstract from the submitted manuscript describes the major findings of this work.
Publication Title
A role for peroxisome proliferator-activated receptor γ coactivator-1 in the control of mitochondrial dynamics during postnatal cardiac growth.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 199 Downloadable Samples
Illumina HiSeq 1000
Description
Single-cell RNA-seq analysis of pre- and postnatal mouse endolymphatic sac demonstrates two types of differentiated cells distinguished by their mRNA expression signatures. Overall design: mRNA-seq profiles from 213 single cells from embryonic day 12.5, 16.5, postnatal day 5 and 30 mouse endolymphatic sac were analyzed
Publication Title
Molecular architecture underlying fluid absorption by the developing inner ear.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Breast tumorigenesis involves modulation of gene expression.
Publication Title
Nucleotide excision repair deficiency is intrinsic in sporadic stage I breast cancer.
Sample Metadata Fields
Specimen part, Subject
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
- 27 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Long noncoding RNAs regulate adipogenesis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Mus musculus
- 11 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process.
Publication Title
Long noncoding RNAs regulate adipogenesis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina Genome Analyzer
Description
Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process. Overall design: We extractedbrown and white primary adipocytes and pre-adipocytes and profiled lncRNA expresssion via mRNA-Seq. We also profiled cultured, differentiated adipocytes to verify that we could recapitulate the adipocyte expression profile in preparation for a loss-of-function screen for essential adipogenic lincRNAs.
Publication Title
Long noncoding RNAs regulate adipogenesis.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 30 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Compelling evidence suggests that mitochondrial dysfunction contributes to the pathogenesis of heart failure, including defects in the substrate oxidation, and the electron transport chain (ETC) and oxidative phosphorylation (OXPHOS). However, whether such changes occur early in the development of heart failure, and are potentially involved in the pathologic events that lead to cardiac dysfunction is unknown. To address this question, we conducted transcriptomic/metabolomics profiling in hearts of mice with two progressive stages of pressure overload-induced cardiac hypetrophy: i) cardiac hypertrophy with preserved ventricular function achieved via transverse aortic constriction for 4 weeks (TAC) and ii) decompensated cardiac hypertrophy or heart failure (HF) caused by combining 4 wk TAC with a small apical myocardial infarction. Transcriptomic analyses revealed, as shown previously, downregulated expression of genes involved in mitochondrial fatty acid oxidation in both TAC and HF hearts compared to sham-operated control hearts. Surprisingly, however, there were very few changes in expression of genes involved in other mitochondrial energy transduction pathways, ETC, or OXPHOS. Metabolomic analyses demonstrated significant alterations in pathway metabolite levels in HF (but not in TAC), including elevations in acylcarnitines, a subset of amino acids, and the lactate/pyruvate ratio. In contrast, the majority of organic acids were lower than controls. This metabolite profile suggests bottlenecks in the carbon substrate input to the TCA cycle. This transcriptomic/metabolomic profile was markedly different from that of mice PGC-1a/b deficiency in which a global downregulation of genes involved in mitochondrial ETC and OXPHOS was noted. In addition, the transcriptomic/metabolomic signatures of HF differed markedly from that of the exercise-trained mouse heart. We conclude that in contrast to current dogma, alterations in mitochondrial metabolism that occur early in the development of heart failure reflect largely post-transcriptional mechanisms resulting in impedance to substrate flux into the TCA cycle, reflected by alterations in the metabolome.
Publication Title
Energy metabolic reprogramming in the hypertrophied and early stage failing heart: a multisystems approach.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 112 Downloadable Samples
- Illumina HiSeq 1500, Illumina HiSeq 1000
Description
Single cell RNAseq analysis of hair cells isolated from the mouse utricle at three postnatal time points Overall design: Utricular hair cells were isolated at P12 (49 cells) and P100 (23 cells) and then combined with a previously published single cell data set (samples from GSE71982) containing 35 utricular hair cells isolated at P1 (Burns et al., 2015) The previously published single cell P1 samples have been re-normalized. These samples are included in this series and all processed data are available in the file ute_normalized_data.txt, available at the foot of this record.
Publication Title
Characterization of spatial and temporal development of Type I and Type II hair cells in the mouse utricle using new cell-type-specific markers.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
To understand molecular mechanisms by which reducing Id2 rescues impaired erythropoiesis and hematopoietic progenitor cell development in Gfi-1-/- mice, we compared gene expression in Gfi-1-/-;Id2+/- and Gfi-1-/- BMC using Affymetrix microarray.
Publication Title
Gfi-1 regulates the erythroid transcription factor network through Id2 repression in murine hematopoietic progenitor cells.
Sample Metadata Fields
Specimen part
View Samples