Project description:We developed a novel method for the identification of SUMO sites by expression of His-tagged SUMO mutants and affinity purification of SUMOylated proteins, followed by trypsin digestion and immunocapture of peptides containing diglycine signature tags. Lab Head: Dr Pascale Cossart, pascale.cossart@pasteur.fr Institut Pasteur Unité des Interactions Bactéries-Cellules, Inserm U604, INRA USC2020 25 rue du Dr. Roux 75015 Paris France
Project description:CHQ5B primary human myoblasts obtained from Dr V. Mouly (Paris, France) have been described previously (Faulkner et al., 1999). Ankrd2 is upregulated on differentiation of myoblasts. The change in gene expression was studied in cells silenced for Ankrd2 (infected with AAV-shAnkrd2), control cells (infected with AAV-shLuc) and control cells uninfected.
Project description:Poly(A) and CUT RNA fractions are compared using 3 'Long-SAGE deep-sequencing. ArrayExpress Release Date: 2008-12-19 Publication Title: Widespread bidirectional promoters are the major source of cryptic transcripts in yeast Publication Author List: Helen Neil, Christophe Malabat, Yves d'Aubenton-Carafa, Zhenyu Xu, Lars M. Steinmetz and Alain Jacquier Person Roles: submitter Person Last Name: Malabat Person First Name: Christophe Person Mid Initials: Person Email: christophe.malabat@pasteur.fr Person Phone: Person Address: Unité de Génétique des Interactions Macromoléculaires; CNRS, URA2171,F-75015, Paris, France Person Affiliation: Institut Pasteur
Project description:By using patient-derived xenografts (PDXs) as living surrogate of the clinical practice, we identify here induction of genes related to the IFN pathway as an early and specific predictor of tumor response to treatment. Gene expression profile of tumor cells after laser-capture microdissection of residual tumor foci to characterize the molecular changes occurring in residual tumor cells surviving chemotherapy RNA was extracted from microdissected areas using the RNeasy Mini kit (Qiagen, Valencia, CA). This approach allowed isolating foci of human tumor cells from the murine stroma. Gene expression analysis was performed with Affymetrix Exon 1.0 ST microarrays. Hybridization, data normalization and statistical analysis were outsourced to GenoSplice Technology (Paris, France).
Project description:786-O cells (150, 000) were treated for 24h with DMSO, 5 µM of CX4945 or AB668. Total RNA was extracted from treated cells using the MirVana PARIS kit (Thermofisher). The 3′ Bulk RNA Barcoding and sequencing (BRB-seq) experiments were performed at the Research Institute for Environmental and Occupational Health (Irset, Rennes, France) according to the published protocol (Alpern et al., 2019). Sequencing was perfomred by SiLicium.
Project description:Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining “molecular Banff” signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hôpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hôpital Bicêtre, Paris, Hôpital Pellegrin, Bordeaux, and Hôpital Dupuytren, Limoges, plus control normal kidney samples from Hôpital Tenon, Paris, France (first batch). We used microarrays to identify different gene expression signatures of renal allograft biopsies that can classify them according to different types of allograft rejection or CAN. Keywords: disease state analysis
Project description:Opioids such as morphine have many beneficial properties as analgesics, however, opioids may induce multiple adverse gastrointestinal symptoms. We have recently demonstrated that morphine treatment results in significant disruption in gut barrier function leading to increased translocation of gut commensal bacteria. However, it is unclear how opioids modulate the gut homeostasis. By using a mouse model of morphine treatment, we studied effects of morphine treatment on gut microbiome. We characterized phylogenetic profiles of gut microbes, and found a significant shift in the gut microbiome and increase of pathogenic bacteria following morphine treatment when compared to placebo. In the present study, wild type mice (C57BL/6J) were implanted with placebo, morphine pellets subcutaneously. Fecal matter were taken for bacterial 16s rDNA sequencing analysis at day 3 post treatment. A scatter plot based on an unweighted UniFrac distance matrics obtained from the sequences at OTU level with 97% similarity showed a distinct clustering of the community composition between the morphine and placebo treated groups. By using the chao1 index to evaluate alpha diversity (that is diversity within a group) and using unweighted UniFrac distance to evaluate beta diversity (that is diversity between groups, comparing microbial community based on compositional structures), we found that morphine treatment results in a significant decrease in alpha diversity and shift in fecal microbiome at day 3 post treatment compared to placebo treatment. Taxonomical analysis showed that morphine treatment results in a significant increase of potential pathogenic bacteria. Our study shed light on effects of morphine on the gut microbiome, and its role in the gut homeostasis.
Project description:Host-virus interaction was analyzed at gene expression level. The hypothesis tested in the present study was that rabies virus (RABV) infection affects the gene expression in brains of mice and RAB with different virulence induce distinct expression pattern in host. Results provide important information that RABV infection led to alteration of gene expression in brains of mice and FJDRV, a street rabies virus with highly virulence isolated from brain of rabid dog in Fujian provice of China, or ERA, a laboratory-adapted rabies virus with lower virulence induced different expression pattern, including immune-related and cellular signaling-related genes.