Background Correct achievement of early ovarian folliculogenesis is a crucial phase for further ovarian function. This process is closely regulated by cell-cell interactions and coordinated expression of genes from oocyte and granulosa cells. But, despite of the large number of studies, little is known about the precise gene expression patterns driving early folliculogenesis. The experimental limitations concerned the very small size of these follicles and the mixture of the different developmental stages within an ovary that make the study of isolated follicular components much more difficult. The recently developed laser capture microdissection (LCM) technique coupled with microarrays experiments is promising in addressing the molecular specificity of each follicular compartment. Nevertheless, the isolation of unique cells or group of cells is still challenging to maintain RNA quality during this process and to obtain sufficient amount of RNA. In this study, we described a method allowing the analysis of oocyte and granulosa cells gene expression during the first stages of sheep early folliculogenesis. Results First we developed a new fixation protocol using a frizzed 70% ethanol fixation solution that ensures correct single cell capture and RNA integrity during microdissection time. After LCM capture of the compartments and follicular stages, RNA extraction and amplification, the expression of 6 oocyte-specific genes (SOHLH2, MAEL, MATER, VASA, GDF9, BMP15) and 3 granulosa cell-specific genes (KITLG, GATA4, AMH) confirmed the purity of the samples and documented their ovine expression profiles. Then, using bovine Affymetrix chip, we identified for the first time, a global gene expression for each follicular compartment during early developmental stages. Particularly the granulosa cell data set is quite unique. 1050 granulosa cell specific transcripts compared to oocyte and 759 oocyte specific transcripts were detected. The analysis of the expression of 2 genes (SIRT7, FST) confirmed this specificity of expression. Finally, the integration of the data stated the 3 main physiological events involved in early folliculogenesis and provided descriptive elements that confirmed the relevance and the potential of the LCM-derived RNAs. Conclusions This method should contribute through an additional genome wide expression profiling to give insights on molecular mechanisms involved in stage transitions and cell type interplays.
Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by laser capture microdissection.
Age, Specimen part
View SamplesThree triple negative breast cancer cell lines (MDAMB231, SUM159, and HCC1806) were treated with small molecule inhibitors (JQ1, BET bromodomain inhibitor; GSK2801, BAZ2A/B bromodomain inhibitor) alone and in combination for 72 hours Overall design: 12 experimental samples
GSK2801, a BAZ2/BRD9 Bromodomain Inhibitor, Synergizes with BET Inhibitors to Induce Apoptosis in Triple-Negative Breast Cancer.
Cell line, Treatment, Subject
View SamplesAim: to perform a genome-wide investigation of chromatin landscape and gene expression patterns downstream of calcium and kinase signaling in Jurkat T cells. Methods: PMA and ionomycin were used to activate the calcium and kinase signalling networks involved in T cell activation. Global gene expression was measured using RNA-seq, whilst ATAC-seq was used to probe chromatin landscape following 3 hours of stimulation with PMA, ionomycin or both. All experiments were performed in triplicate. For RNA-seq all sequencing was performed using paired-end sequencing on an Illumina HiSeq2500 instrument. For ATAC-seq sequencing was performed using a HiSeq 1500. Results: we mapped approximately 60 million reads per sample for ATAC-seq, and 22 million reads per library for RNA-seq. Overall we identified 57,825 transcripts and 19,763 ATAC-seq peaks. We identifiead 1648 genes whose expression was increased by 2-fold or more by at least one treatment in comparison to untreated cells. Similarly, we identified 3972 ATAC peaks that were induced by at least 2-fold by treatment in comparison to untreated cells. Conclusions: we found that chromatin landscape was associated with gene expression downstream of calcium and kinase signaling in Jurkat cells. Further to this we found that activation of the full complement of TCR-responsive genes is dependent upon both PMA and ionomycin, and amounts to more than just the sum of both. Overall design: RNA-sequencing and ATAC-sequencing were performed after 3 hours of treatment with either PMA, ionomycin or co-treatment with PMA and ionomycin.
Integration of Kinase and Calcium Signaling at the Level of Chromatin Underlies Inducible Gene Activation in T Cells.
No sample metadata fields
View SamplesGene expression profiling of FACS sorted GFP+ve cells from sexed gonads of transgenic pSF1-eGFP mice
Expression profiling of purified mouse gonadal somatic cells during the critical time window of sex determination reveals novel candidate genes for human sexual dysgenesis syndromes.
No sample metadata fields
View SamplesIL-2 signals into CD8 T cells have a programming and regulatory role in driving cells to full effector and memory differentiation. This study was designed to look for IL-2 target genes that affect CD8 T cell responses.
Endoplasmic reticulum stress regulator XBP-1 contributes to effector CD8+ T cell differentiation during acute infection.
Sex, Specimen part
View SamplesFollowing infection with LCMV, CD4+ SMARTA TCR transgenic cells (specific for the gp61-80 epitope of the LCMV glycoprotein) rapidly expand, become effector cells, and go on to form a long-lived memory population. Following infection with a recombinant Listeria monocytogenes expressing the LCMV epitope gp61-80, SMARTA cells also expand but display defective effector differentiation and fail to form memory. In an attempt to understand the signals required for CD4 T cell memory differentiation, we compared gene expression by SMARTA cells at the peak of the primary response following either Lm-gp61 or LCMV infection.
Rapid culling of the CD4+ T cell repertoire in the transition from effector to memory.
No sample metadata fields
View SamplesWe noticed that ThPOK repression is readily abrogated upon in vitro TCR stimulation of peripheral CD8 T cells. This observation prompted us to investigate a role of ThPOK in the CD8 T cell response to an acute viral infection. We observed that clonal expansion is significantly less in both primary and secondary CD8 T cell responses in the absence of functional ThPOK. To approach this mechanism, we carried out a microarray analysis for comparison of gene expression between ThPOKhd/hd and ThPOKwt/wt P14 memory T cells.
ThPOK derepression is required for robust CD8 T cell responses to viral infection.
No sample metadata fields
View SamplesHost pathways mediating changes in immune states elicited by intestinal microbial colonization are incompletely characterized. Here we describe alterations of the host immune state induced by colonization of germ-free zebrafish larvae with an intestinal microbial community or single bacterial species. We show that microbiota-induced changes in intestinal leukocyte subsets and whole-body host gene expression are dependent on the innate immune adaptor gene myd88. Similar patterns of gene expression are elicited by colonization with conventional microbiome, as well as mono-colonization with two different zebrafish commensal bacterial strains. By studying loss-of-function myd88 mutants, we find that colonization suppresses Myd88 at the mRNA level. Tlr2 is essential for microbiota-induced effects on myd88 transcription and intestinal immune cell composition. Overall design: Zebrafish embryos were sterilized to generate germ-free groups. Transcriptomic responses in germ-free embryos were were assessed relative to colonized embryos, either colonized by complex and in characterized microbial communities (Conventionalozation) or by specefic single commensal bacterial species (monoassociation, Exiguobacterium/Chryseobacterium)
Intestinal microbiome adjusts the innate immune setpoint during colonization through negative regulation of MyD88.
Treatment, Subject
View SamplesTissue resident memory (Trm) represent a newly described memory T cell population. We have previously characterized a population of Trm that persists within the brain following acute virus infection. Although capable of providing marked protection against a subsequent local challenge, brain Trm do not undergo recall expansion following dissociation from the tissue. Furthermore, these Trm do not depend on the same survival factors as the circulating memory T cell pool as assessed either in vivo or in vitro. To gain greater insight into this population of cells we compared the gene-expression profiles of Trm isolated from the brain to circulating memory T cells isolated from the spleen following an acute virus infection. Trm displayed altered expression of genes involved in chemotaxis, expressed a distinct set of transcription factors and overexpressed several inhibitory receptors. Cumulatively, these data indicates that Trm are a distinct memory T cell population disconnected from the circulating memory T cell pool and displaying a unique molecular signature which likely results in optimal survival and function within their local environment.
The molecular signature of tissue resident memory CD8 T cells isolated from the brain.
Specimen part
View SamplesThe aim of the experiment is to determine sugar and ABA responsive gene expression in Arabidopsis.
Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine.
Age, Time
View Samples