Purpose: The goal of this study is to identify host genes whose expression is perturbed in primary CD4+ T cells by histone deacetylase (HDAC) inhibitors (HDACi) SAHA and RMD, which have different potencies and specificities for various HDACs. The study aims to evaluate the effects of SAHA and RMD that may promote or inhibit reactivation of HIV provirus out of latency. Methods: Peripheral blood mononuclear cells were collected from 4 HIV-seronegative donors. CD4+ T cells were isolated and utilized to generate an in vitro model of latent HIV infection (model developed in the Spina laboratory and previously described in Spina et al., 2013). Mock-infected cells were cultured in parallel to evaluate effects of SAHA and RMD that may be dependent on the exposure of cells to virus. Following generation of the model, cells were treated with SAHA, RMD or their solvent dimethyl sulfoxide (DMSO) for 24 hours. Mock-infected cells were treated in parallel. The experiment had 4 biological replicates, 6 conditions for each, for a total of 24 samples. ERCC spikes (Thermo Fisher Scientific, Inc.) were added to cell lysates based on cell number in each sample (10 ul of 1:800 dilution per million cells). Mix 1 was used for DMSO- and mix 2 for SAHA- and RMD-treated cells. After all samples were collected, RNA was extracted and subjected to deep sequencing by Expression Analysis, Inc. Sequence reads that passed quality filters were mapped using Tophat (human genome) or Bowtie (ERCC spikes and HIV) and counted using HTSeq. ERCC spikes with the same concentration in mixes 1 and 2 were utilized to remove unwanted technical variation. Any human gene which did not achieve at least 1 count per million reads in at least 4 samples or any ERCC that did not achieve at least 5 reads in at least 4 samples was discarded. Differential gene expression analysis was performed using library EdgeR in Bioconductor R. National Center for Biotechnology Information (NCBI) HIV-1 Human Interaction Database was then searched for genes that have been implicated in controlling HIV latency. EdgeR output was used to extract expression information of the genes of interest from the NCBI database to identify genes implicated in HIV latency that were modulated by SAHA and RMD. The resulting lists were manually curated to verify relevance to HIV latency, using the Description column of the NCBI database, as well as available PubMed references. Results: Using a custom built data analysis pipeline, ~100 million reads per sample were mapped to the human genome (build hg38). After applying filtering criteria, 16058 human transcripts, 19 ERCC spikes transcripts, and HIV NL4-3 transcripts were identified with the Tophat/Bowtie and HTSeq workflow. Differential expression analysis was performed between SAHA or RMD-treated and DMSO-treated cells. In addition, differential modulation of gene expression by SAHA and RMD in the model of HIV latency and mock-infected cells was assessed using EdgeR. In mock-infected cells, SAHA upregulated 3,971 genes and downregulated 2,940 genes; RMD upregulated 5,068 genes and downregulated 4,050 genes. In the model of HIV latency, SAHA upregulated 3,498 genes and downregulated 2,904 genes; RMD upregulated 5,116 genes and downregulated 4,053 genes (FDR < 0.05). SAHA modulated 6, and RMD 11 genes differentially between mock-infected cells and the model of HIV latency. Following search of the NCBI HIV-1 Human Interaction Database, 27 genes upregulated and 29 downregulated in common between SAHA and RMD were found to be relevant to regulation of HIV latency; 31 were up- and 32 downregulated by RMD only; and 6 were up- and 2 were downregulated by SAHA only. Conclusions: This study demonstrates that SAHA and RMD, which have different potencies and specificities for HDACs, modulate a set of overlapping genes implicated in regulation of HIV latency. Some of these genes may be explored as additional host targets for improving the outcomes of “shock and kill” strategies. Overall design: Transcriptomic profiling of the in vitro model of HIV latency and mock-infected cells treated with SAHA, RMD or the solvent DMSO (N=4 donors) by deep sequencing at Expression Analysis, Inc.
Long non-coding RNAs and latent HIV - A search for novel targets for latency reversal.
Specimen part, Treatment, Subject
View SamplesWe used an inducible ShRNA system and microarrays to detail the global programme of gene expression underlying neuroblastoma differentiation upon CHAF1A silencing .
Histone chaperone CHAF1A inhibits differentiation and promotes aggressive neuroblastoma.
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View SamplesHere we report RNA-Seq data from RNA isolated from newborn lenses from FVB/N control mice as well as from newborn lenses of two different transgenic mouse lines (Le-Cre and P0-3.9GFPCre). Sequence reads of 51 bp were obtained from an illumine HiSeq 2000 system and mapped to the C57BL/6 reference genome (assembly GRCm38 (mm10)) using GSNAP software. Adapters and poor-quality regions were trimmed using Trimmomatic-0.36 software. Gene and isoform abundance was quantified using RSEM-1.3.0 software. Differential expression analysis was completed using DESeq2-1.10.1 software. For differential expression we used a cutoff value of equal to or greater than 1.5-fold change with an adjusted p value = 0.05. The transcriptomes of both Le-Cre and P0-3.9GFPCre lenses closely matched the FVB/N control lenses. However, Le-Cre lenses exhibited deregulation of 15 murine genes, several of which are associated with apoptosis. In contrast, P0-3.9GFPCre lenses only deregulated two murine genes. Overall design: Lens mRNA profiles of newborn wild type FVB/N strain, Le-Cre and P0-3.9GFPCre mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.
Considerations for the use of Cre recombinase for conditional gene deletion in the mouse lens.
Specimen part, Cell line, Subject
View SamplesJoMa1 cells are pluripotent precursor cells, derived from the neural crest of mice transgenic for tamoxifen-inducible c-Myc. Following transfection with a cDNA encoding for MYCN, cells become immortlized even in the absence of tamoxifen.
MYCN and ALKF1174L are sufficient to drive neuroblastoma development from neural crest progenitor cells.
Specimen part, Cell line
View SamplesLong intergenic non-coding RNAs (lincRNAs) are emerging as integral components of signaling pathways in various cancer types. In neuroblastoma, only a handful of lincRNAs are known as upstream regulators or downstream effectors of oncogenes. Here, we exploit RNA sequencing data of primary neuroblastoma tumors, neuroblast precursor cells, neuroblastoma cell lines and various cellular perturbation model systems to define the neuroblastoma lincRNome and map lincRNAs up- and downstream of neuroblastoma driver genes MYCN, ALK and PHOX2B. Each of these driver genes controls the expression of a particular subset of lincRNAs, several of which are associated with poor survival and are differentially expressed in neuroblastoma tumors compared to neuroblasts. By integrating RNA sequencing data from both primary tumor tissue and cancer cell lines, we demonstrate that several of these lincRNAs are expressed in stromal cells. Deconvolution of primary tumor gene expression data revealed a strong association between stromal cell composition and driver gene status, resulting in differential expression of these lincRNAs. We also explored lincRNAs that putatively act upstream of neuroblastoma driver genes, either as presumed modulators of driver gene activity, or as modulators of effectors regulating driver gene expression. This analysis revealed strong associations between the neuroblastoma lincRNAs MIAT and MEG3 and MYCN and PHOX2B activity or expression. Together, our results provide a comprehensive catalogue of the neuroblastoma lincRNome, highlighting lincRNAs up- and downstream of key neuroblastoma driver genes. This catalogue forms a solid basis for further functional validation of candidate neuroblastoma lincRNAs. Overall design: CLB-GA was transduced with control or inducible shPHOX2B. The cells were treated with doxycycline for 5 days.
Integrative analysis identifies lincRNAs up- and downstream of neuroblastoma driver genes.
Cell line, Treatment, Subject
View SamplesGlomerular RNA comparison between wild-type and podocyte specific deletion of the PTIP gene in 1 month old kidneys. The PTIP gene was deleted using a floxed allele and a Podocin-Cre driver strain.
Altering a histone H3K4 methylation pathway in glomerular podocytes promotes a chronic disease phenotype.
Specimen part
View SamplesR-spondin1 (Rspo1) is a member of a secreted protein family which has pleiotropic functions in development and stem cell growth. Rspo1 knock-out mice are sex-reversed, but some remain sub-fertile, so, they are unable to nurse their pups. A lack of Rspo1 expression in mammary epithelial cells results in an absence of duct side-branching development and defective alveolar formation. In this study we propose to characterize the molecular functions involved to mammary gland phenotype due to Rspo1 knock out. By transcriptional profiling, we have identified gene misregulated in mammary gland of Rspo1 knock-out mice during pregnancy. A stronger expression of genes characterising mesenchymal tissue was observed in the absence of alterations to the structure of mammary epithelial tissue. Mammary epithelial cell characterization, by immunohistochemistry approach, revealed a persistence of virgin markers which sign a delay in their differentiation. Moreover serial transplantation experiments show that Rspo1 is associated with a regenerative potential of mammary epithelial cell control. Our data have also highlighted that in mammary gland during pregnancy the expression of Rspo1s partners, Lgr4 and RNF43, are negatively regulated and Tgf- signaling is modified in the absence of Rspo1. Taken together, our results show an abrupt halt in mammary development at mid-pregnancy due to loss of further differentiated function.
Phenotypic and Molecular Alterations in the Mammary Tissue of R-Spondin1 Knock-Out Mice during Pregnancy.
Sex, Specimen part
View SamplesSignalling via the colony stimulating factor 1 receptor (CSF1R) controls the survival, differentiation and proliferation of macrophages which are a source of the somatic growth factor insulin growth factor 1 (IGF1). Treatment of newborn mice with CSF1 has previously been shown to produce an increase in somatic growth rate and we hypothesised that treatment of neonatal low birth weight (LBW) rats with CSF1 would do the same. Growth rates were not affected, yet CSF1 treatment caused an unexpectedly large, but reversible increase in liver size and hepatic fat deposition in both normal and LBW rats. By transcriptional profiling, we have highlighted numerous CSF1-regulated genes known to be involved in lipid droplet formation in the liver and novel candidate genes for further investigation. In contrast to mice and weaner pigs, CSF1 treatment did not increase hepatocyte proliferation in neonatal rats, rather the data were consistent with increased macrophage proliferation instead. This suggests that Kupffer cells promote lipid accumulation in neonates and treatment to ablate CSF1R signalling may reverse lipid accumulation in the liver.
Macrophage colony-stimulating factor increases hepatic macrophage content, liver growth, and lipid accumulation in neonatal rats.
Specimen part, Treatment
View SamplesThe expression was designed to determine whether exposure to CSF1-Fc has any effect on liver-specific gene expression in pigs.
Macrophage colony-stimulating factor (CSF1) controls monocyte production and maturation and the steady-state size of the liver in pigs.
Specimen part
View SamplesWe used microarray to examine changes in gene expression in the absence of Csf1r in the brain and spleen.
Pleiotropic Impacts of Macrophage and Microglial Deficiency on Development in Rats with Targeted Mutation of the <i>Csf1r</i> Locus.
Sex
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