Project description:Macrophages rapidly engulf apoptotic cells to limit the release of noxious cellular contents and to restrict autoimmune responses against self antigens. Although factors participating in recognition and engulfment of apoptotic cells have been identified, the transcriptional basis for the sensing and silently disposing of apoptotic cells is unknown. Here we show that peroxisome proliferator activated receptor delta (PPARdelta) is induced when macrophages engulf apoptotic cells and functions as a transcriptional sensor of dying cells. Genetic deletion of PPARdelta decreases expression of opsonins, such as C1qb, resulting in impairment of apoptotic cell clearance and reduction in anti-inflammatory cytokine production. This increases autoantibody production and predisposes global and macrophage-specific PPARdelta deficient mice to autoimmune kidney disease, a phenotype resembling the human disease systemic lupus erythematosus. Thus, PPARdelta plays a pivotal role in orchestrating the timely disposal of apoptotic cells by macrophages, ensuring that tolerance to self is maintained. HoxA9 immortalized ES cell derived myeloid precursors were created and differentiated as in Odegaard et al, 2007. After expansion, macrophages were differentiated for 8 days in the presence of MCSF in 20% L929 conditioned media with 2.5% bovine serum albumin in low glucose media. Macrophages were harvested for RNA using Qiagen's RNeasy Kit. A common reference was generated using e17.5 C57Bl/6 embryos. 30ug of either reference or macrophage RNA was labeled with Cy3 and Cy5 (Amersham) and hybridized to Stanford Functional Genomics Facility mouse cDNA microarrays for 16 hours. The arrays were washed and scanned on an Agilent G2505A ChipScan v. A.6.3.1. Florescence values were extracted using GenePix Pro v. 5.0.0.51. The data were normalized using regression correlation. Subsequently, missing values were imputed and significantly differentially expressed genes were found with Significance Analysis of Microarrays. For the Nature Medicine manuscript, significantly differentially expressed genes including genes involved in the process of uptake of apoptotic cells were extracted and clustered by complete linkage using Cluster and visualized using TreeView. Key to genotypes: "J1 untreated" are WT differentiated macrophages; "18 Untreated" are PPARd-/- differentiated macrophages Genotype: Wild type (WT) or PPAR delta minus (PPARd -/-) macrophages genetic_modification_design

Project description:Background and Aims: In the interleukin-10-deficient (Il10-/-) mouse model of IBD, 10 quantitative trait loci (QTL) have been shown to be associated with colitis susceptibility by linkage analyses on experimental crosses of highly susceptible C3H/HeJBir (C3Bir)-Il10-/- and partially resistant C57BL/6J (B6)-Il10-/- mice. The strongest locus (C3Bir-derived cytokine deficiency-induced colitis susceptibility [Cdcs]1 on Chromosome [Chr] 3) controlled multiple colitogenic subphenotypes and contributed the vast majority to the phenotypic variance in cecum and colon. This was demonstrated by interval-specific Chr 3 congenic mice wherein defined regions of Cdcs1 from C3Bir or B6 were bred into the IL-10-deficient reciprocal background and altered the susceptible or resistant phenotype. Furthermore, this locus likely acts by inducing innate hypo- and adaptive hyperresponsiveness, associated with impaired NFΚB responses of macrophages. The aim of the present study was to dissect the complexity of Cdcs1 by further development and characterization of reciprocal Cdcs1 congenic strains and to identify potential candidate genes in the congenic interval. Material and Methods: In total, 15 reciprocal congenic strains were generated from Il10-/- mice of either C3H/HeJBir or C57BL/6J backgrounds by 10 cycles of backcrossing. Colitis activity was monitored by histological grading. Candidate genes were identified by fine mapping of congenic intervals, sequencing, microarray analysis and a high-throughput real-time RT-PCR approach using bone marrow-derived macrophages. Results: Within the originally identified Cdcs1-interval, three independent regions were detected that likely contain susceptibility-determining genetic factors (Cdcs1.1, Cdcs1.2, and Cdcs1.3). Combining results of candidate gene approaches revealed Fcgr1, Cnn3, Larp7, and Alpk1 as highly attractive candidate genes with polymorphisms in coding or regulatory regions and expression differences between susceptible and resistant mouse strains. Conclusions: Subcongenic analysis of the major susceptibility locus Cdcs1 on mouse chromosome 3 revealed a complex genetic structure. Candidate gene approaches revealed attractive genes within the identified regions with homologs that are located in human susceptibility regions for IBD. Experiment Overall Design: Bone marrow derived macrophages (BMDM) of colitis susceptible C3Bir-Il10-/- and colitis resistant B6-Il10-/- as well as the Il10-/- reciprocal congenic strains CB-R1 (C3Bir genetic background carrying a long congenic chromosome 3 element containing Cdcs1 from B6, rendering this formerly susceptible background resistant) and BC-R3 (B6 genetic background that carries the Cdcs1-region of C3Bir) were cultured and stimulated with flagellin or left unstimulated. BMDM were obtained from 3 male mice per genotype and cultured in polystyrene 6-well culture plates. Before RNA-isolation, 3 wells per plate were stimulated with Cbir1 flagellin (and subsequently pooled for RNA isolation), the other 3 wells left unstimulated (and also pooled). In total, these experiments were replicated three times in order to perform microarray analyses in triplicates.

Project description:Background and Aims: In the interleukin-10-deficient (Il10-/-) mouse model of IBD, 10 quantitative trait loci (QTL) have been shown to be associated with colitis susceptibility by linkage analyses on experimental crosses of highly susceptible C3H/HeJBir (C3Bir)-Il10-/- and partially resistant C57BL/6J (B6)-Il10-/- mice. The strongest locus (C3Bir-derived cytokine deficiency-induced colitis susceptibility [Cdcs]1 on Chromosome [Chr] 3) controlled multiple colitogenic subphenotypes and contributed the vast majority to the phenotypic variance in cecum and colon. This was demonstrated by interval-specific Chr 3 congenic mice wherein defined regions of Cdcs1 from C3Bir or B6 were bred into the IL-10-deficient reciprocal background and altered the susceptible or resistant phenotype. Furthermore, this locus likely acts by inducing innate hypo- and adaptive hyperresponsiveness, associated with impaired NFΚB responses of macrophages. The aim of the present study was to dissect the complexity of Cdcs1 by further development and characterization of reciprocal Cdcs1 congenic strains and to identify potential candidate genes in the congenic interval. Material and Methods: In total, 15 reciprocal congenic strains were generated from Il10-/- mice of either C3H/HeJBir or C57BL/6J backgrounds by 10 cycles of backcrossing. Colitis activity was monitored by histological grading. Candidate genes were identified by fine mapping of congenic intervals, sequencing, microarray analysis and a high-throughput real-time RT-PCR approach using bone marrow-derived macrophages. Results: Within the originally identified Cdcs1-interval, three independent regions were detected that likely contain susceptibility-determining genetic factors (Cdcs1.1, Cdcs1.2, and Cdcs1.3). Combining results of candidate gene approaches revealed Fcgr1, Cnn3, Larp7, and Alpk1 as highly attractive candidate genes with polymorphisms in coding or regulatory regions and expression differences between susceptible and resistant mouse strains. Conclusions: Subcongenic analysis of the major susceptibility locus Cdcs1 on mouse chromosome 3 revealed a complex genetic structure. Candidate gene approaches revealed attractive genes within the identified regions with homologs that are located in human susceptibility regions for IBD.

Dataset Information

Transcription profiling of bone marrow derived macrophages in vitro-infected (Leishmania major) vs uninfected

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets