To determine the role of the cytokine activin A in the regulation of human T follicular helper (Tfh) cell gene program, we performed a transcriptomic analysis (RNA-seq) of human naïve CD4 T cells differentiated in vitro with activin A. The analysis of the gene expression profile driven by activin A, alone or in combination with IL-12 (a know regulator of human Tfh differentiation/function), revealed that activin A can regulate the expression of multiple molecules involved in the differentiation and/or function of human Tfh cells. Overall design: Human naïve CD4 T cells were isolated from fresh PBMCs of healthy control subjects by magnetic bead isolation. Purity was measured by FACS as percentage of CD4+CD45RA+ cells and was 95% or higher. Upon isolation, naïve CD4 T cells were stimulated with anti-CD3/CD28 coated beads in the presence of the following cytokine combinations: no exogenous cytokines (beads only), activin A, IL-12, activin A+IL-12, TGFb, TGFb +IL12. Following 5 days of in vitro culture, live CD4 T cells were FACS sorted and gene expression was analyzed by RNA-seq. Data are from independent donors.
Activin A programs the differentiation of human TFH cells.
No sample metadata fields
View SamplesMononuclear phagocytes are a diverse cell family that occupy all tissues and assume numerous functions to support tissue and systemic homeostasis. Our ability to investigate the roles of individual subsets is limited by an absence of approaches to ablate gene function within specific sub-populations. Using Nr4a1-dependent Ly6Clow monocytes as a representative cell type we show that enhancer deletion addresses these limitations. Combining ChIP-Seq and molecular approaches we identify a single, conserved, sub-domain within the Nr4a1 enhancer that is essential for Ly6Clow monocyte development. Mice lacking this enhancer lack Ly6Clow monocytes but retain Nr4a1 gene expression in macrophages during steady state and in response to LPS. Nr4a1 is a key negative regulator of inflammatory gene expression and decoupling these processes allows Ly6Clow monocytes to be studied without confounding influences. Enhancer targeting possesses greater specificity than cre recombinase-mediated gene deletion, providing a route to generate loss-of-function models in closely related cell types. Overall design: Paired End mRNA sequencing of FACS purified primary murine MDP, cMoP, Ly6Chi and Ly6Clow monocytes from the bone marrow and Ly6Chi and Ly6Clow monocytes from the peripheral blood
Deleting an Nr4a1 Super-Enhancer Subdomain Ablates Ly6C<sup>low</sup> Monocytes while Preserving Macrophage Gene Function.
Specimen part, Cell line, Subject
View SamplesInnate immune responses must be regulated in the intestine to prevent excessive inflammation. Here, using gene reporter mice, we show that a subset of mouse colonic macrophages constitutively produced the anti-inflammatory cytokine IL-10. In mice infected with Citrobacter rodentium, which is considered similar to enteropathogenic Escherichia coli infection in humans, macrophage IL-10 was required to prevent intestinal pathology and to promote survival. The synthesis of the proinflammatory cytokine IL-23 was significantly increased in infected mice with a myeloid cell specific deletion of IL-10 and the addition of IL-10 reduced in vitro IL-23 production by intestinal macrophages. Furthermore, blockade of IL-23 led to reduced morbidity and mortality in the context of macrophage IL-10 deficiency. Transcriptome analysis indicated that the reporter positive and negative colonic macrophage subsets were highly similar, but the reporter positive cells differed for the expression of CD163, an IL-10 target gene, suggesting an autocrine IL-10 signal, and when obtained from infected mice, they had reduced IL-23p19 mRNA. Interestingly, only transfer of the reporter positive cells could rescue IL-10 deficient infected mice. Therefore, these data indicate a pivotal role for a subset of intestinal macrophages that constitutively produces IL-10, perhaps acting in part in autocrine fashion, in controlling excessive innate immune activation, regulation of IL-23 production, and prevention of tissue damage after an acute bacterial infection in the intestine.
IL-10-producing intestinal macrophages prevent excessive antibacterial innate immunity by limiting IL-23 synthesis.
No sample metadata fields
View Samples17b-Estradiol added to MEL cells expressing Gata1-ER or PU.1-ER transgenes to stimulate either erythropoietic Gata-1 dependent or myeloid PU.1 dependent gene espression in different time points
PU.1 activation relieves GATA-1-mediated repression of Cebpa and Cbfb during leukemia differentiation.
Disease, Disease stage
View SamplesComparative analysis of gene expression in cultured primary keratinocytes isolated from newborn control (K14-cre; GPx4fl/+) and knockout (K14-cre; GPx4fl/fl) mice.
Targeted disruption of glutathione peroxidase 4 in mouse skin epithelial cells impairs postnatal hair follicle morphogenesis that is partially rescued through inhibition of COX-2.
Specimen part
View SamplesIn this study, we present a comprehensive evaluation of four RNA-Seq library preparation methods. We used three standard input protocols, the Illumina TruSeq Stranded Total RNA and TruSeq Stranded mRNA kits, and a modified NuGEN Ovation v2 kit; and an ultra-low-input RNA protocol, the TaKaRa SMARTer Ultra Low RNA Kit v3. Our evaluation of these kits included quality control measures such as overall reproducibility, 5' and 3' end-bias, and the identification of DEGs, lncRNAs, and alternatively spliced transcripts. Overall, we found that the two Illumina kits were most similar in terms of recovering DEGs, and the Illumina, modified NuGEN, and TaKaRa kits allowed identification of a similar set of DEGs. However, we also discovered that the Illumina, NuGEN and TaKaRa kits each enriched for different sets of genes. Overall design: Two mESC cell lines (biological replicates) from Zbtb24 knockout (1lox/1lox) clones are compared with two wild-type (2lox/+) clones (biological replicates) using the TaKaRa SMARTer Ultra Low RNA protocol directly on cells with no RNA preparation step. Total RNA from 100 mESCs cells and 1000 mESCs cells or approximately 1 and 10 ng RNA were used respectively.
Systematic evaluation of RNA-Seq preparation protocol performance.
Specimen part, Cell line, Subject
View SamplesIn this study, we present a comprehensive evaluation of four RNA-Seq library preparation methods. We used three standard input protocols, the Illumina TruSeq Stranded Total RNA and TruSeq Stranded mRNA kits, and a modified NuGEN Ovation v2 kit; and an ultra-low-input RNA protocol, the TaKaRa SMARTer Ultra Low RNA Kit v3. Our evaluation of these kits included quality control measures such as overall reproducibility, 5' and 3' end-bias, and the identification of DEGs, lncRNAs, and alternatively spliced transcripts. Overall, we found that the two Illumina kits were most similar in terms of recovering DEGs, and the Illumina, modified NuGEN, and TaKaRa kits allowed identification of a similar set of DEGs. However, we also discovered that the Illumina, NuGEN and TaKaRa kits each enriched for different sets of genes. Overall design: Three mESC cell lines (biological replicates) from Zbtb24 knockout (1lox/1lox) clones are compared with three wild-type (2lox/+) clones (biological replicates) using the TruSeq mRNA protocol.
Systematic evaluation of RNA-Seq preparation protocol performance.
Specimen part, Cell line, Subject
View SamplesWe aimed at identifying lymphangiogenic subpopulations by comparative analysis of single cell clones derived from a melanoma of a single patient. Selected clones were grafted into SCID mice, where they induced lymphangiogenesis and metastasized into sentinel nodes, whereas non-lymphangiogenic clones from the same patient did not metastasize. RNA isolated from primary SCID mouse tumors were used for transcriptome analysis.
MET expression in melanoma correlates with a lymphangiogenic phenotype.
No sample metadata fields
View SamplesBackground. Most colorectal cancers (CRC) arise in a progression through adenoma to carcinoma phenotypes as a consequence of altered genetic information. Clinical progression of CRC may occur in parallel with distinctive signaling alterations. We designed multidirectional analyses integrating microarray-based data with biostatistics and bioinformatics to elucidate the signaling and metabolic alterations underlying CRC development in the adenoma-carcinoma sequence. Methodology/Principal Findings. Studies were performed on normal mucosa, adenoma, and CRC samples obtained during surgery or colonoscopy. Collections of cryostat sections prepared from the tissue samples were evaluated by a pathologist to control the relative cell type content. RNA was isolated from 105 macro- and 40 microdissected specimens. The measurements were done using Affymetrix GeneChip HG-U133plus2, and probe set data were generated using two normalization algorithms: MAS5 and GCRMA with LVS. The data were evaluated using pair-wise comparisons and data decomposition into SVD modes. The method selected for the functional analysis used the Kolmogorov-Smirnov test. Based on a consensus of the results obtained by two tissue handling procedures, two normalization algorithms, and two probe set sorting criteria, we identified six KEGG signaling and metabolic pathways (cell cycle, DNA replication, p53 signaling pathway, purine metabolism, pyrimidine metabolism, and RNA polymerase) that are significantly altered in both macro- and microdissected tumor samples compared to normal colon. On the other hand, pathways altered between benign and malignant tumors were identified only in the macrodissected tissues. Conclusion/Significance. Multidirectional analyses of microarray data allow the identification of essential signaling alterations underlying CRC development. Although the proposed strategy is computationally complex and laborintensive, it may reduce the number of false results.
Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy.
No sample metadata fields
View Samples