Expressed alleles of imprinted IGF2, DLK1 and MEG3 colocalize in 3D-preserved nuclei of porcine fetal cells.

BACKGROUND: To explore the relationship between spatial genome organization and gene expression in the interphase nucleus, we used a genomic imprinting model, which offers parental-specific gene expression. Using 3D FISH in porcine fetal liver cells, we compared the nuclear organization of the two parental alleles (expressed or not) of insulin-like growth factor 2 (IGF2), a paternally imprinted gene located on chromosome 2. We investigated whether its nuclear positioning favors specific locus associations. We also tested whether IGF2 is implicated in long-range chromatin trans-associations as previously shown in the mouse model species for its reciprocal imprinted gene H19. RESULTS: We focused on the 3D position of IGF2 alleles, with respect to their individual chromosome 2 territories. The paternally expressed allele was tagged with nascent RNA. There were no significant differences in the position of the two alleles (p = 0.06). To determine long-range chromatin trans-interactions, we chose 12 genes, some of which are known to be imprinted in mammalian model species and belong to a network of imprinted genes (i.e. SLC38A4, DLK1, MEG3, and ZAC1). We screened them and ABCG2, OSBP2, OSBPL1, RPL32, NF1, ZAR1, SEP15, GPC3 for associations with IGF2 in liver cells. All imprinted genes tested showed an association with IGF2. The DLK1/MEG3 locus showed the highest rate of colocalization. This gene association was confirmed by 3D FISH (in 20 % of the nuclei analyzed), revealing also the close proximity of chromosomes 2 and 7 (in 60 % of nuclei). Furthermore, our observations showed that the expressed paternal IGF2 allele is involved in this association. This IGF2-(DLK1/MEG3) association also occurred in a high percentage of fetal muscle cells (36 % of nuclei). Finally, we showed that nascent IGF2, DLK1 and MEG3 RNAs can associate in pairs or in a three-way combination. CONCLUSION: Our results show that trans-associations occur between three imprinted genes IGF2, DLK1 and MEG3 both in fetal liver and muscle cells. All three expressed alleles associated in muscle cells. Our findings suggest that the 3D nuclear organization is linked to the transcriptional state of these genes.

Transcriptomic and nuclear architecture of immune cells after LPS activation.

Changes in the nuclear positioning of specific genes, depending on their expression status, have been observed in a large diversity of physiological processes. However, gene position is poorly documented for immune cells which have been subjected to activation following bacterial infection. Using a pig model, we focused our study on monocyte-derived macrophages and neutrophils, as they are the first lines of defence against pathogens. We examined whether changes in gene expression due to LPS activation imply that genes have repositioned in the nuclear space. We first performed a transcriptomic analysis to identify the differentially expressed genes and then analysed the networks involved during lypopolysaccharide/interferon gamma activation in monocyte-derived macrophages. This allowed us to select four up-regulated (IL1ß, IL8, CXCL10 and TNFα) and four down-regulated (VIM, LGALS3, TUBA3 and IGF2) genes. Their expression statuses were verified by quantitative real-time RT-PCR before studying their behaviour in the nuclear space during macrophage activation by means of 3D fluorescence in situ hybridization. No global correlation was found between gene activity and radial positioning. Only TNFα belonging to the highly transcribed MHC region on chromosome 7 became more peripherally localized in relation to the less decondensed state of its chromosome territory (CT) in activated macrophages. The analysis of gene positioning towards their CT revealed that IL8 increases significantly its tendency to be outside its CT during the activation process. In addition, the gene to CT edge distances increase for the three up-regulated genes (IL8, CXCL10 and TNFα) among the four analysed. Contrarily, the four down-regulated genes did not change their position. The analysis of gene behaviour towards their CT was extended to include neutrophils for three (TNFα, IL8 and IL1ß) up- and two (IGF2 and TUBA3) down-regulated genes, and similar results were obtained. The analysis was completed by studying the four up-regulated genes in fibroblasts, not involved in immune response. Our data suggest that relocation in the nuclear space of genes that are differentially expressed in activated immune cells is gene and cell type specific but also closely linked to the entire up-regulation status of their chromosomal regions.

Nuclear architecture of resting and LPS-stimulated porcine neutrophils by 3D FISH.

Neutrophils are essential components of the innate immune system due to their ability to kill and phagocytose invading microbes. They possess a lobulated nucleus and are capable of extensive and complex changes in response to bacterial stimulation. The aim of our study was to investigate whether the 3D nuclear organization of porcine neutrophils was modified upon stimulation. The organization of centromeres, telomeres, and chromosome territories (chromosomes 2, 3, 7, 8, 12, 13, and 17) was studied on structurally preserved nuclei using 3D fluorescence in situ hybridization, confocal microscopy, and image analysis. By differential labeling of centromeres of acrocentric and metacentric/submetacentric chromosomes, we showed that centromeres associated to form chromocenters but did so preferentially between chromosomes with the same morphology. Upon activation, some of these chromocenters dispersed. Telomeres were also found to form clusters, but their number remained unchanged in lipopolysaccharide-stimulated neutrophils. The analysis of the position of chromocenters and telomere clusters showed a more internal location of the latter compared to the former. The analysis of chromosome territories revealed that homologs were distributed randomly among lobes whatever the cell's status. The volume of these territories was not proportional to chromosome length, and some chromosomes (chr 3, 12, 13, and 17) were more prone to decondensation when neutrophils were stimulated. Thus, our study demonstrated that activation of neutrophils resulted in several modifications of their nuclear architecture: a decrease in the number of non-acrocentric chromocenters and the decondensation of several chromosomes.

A pig multi-tissue normalised cDNA library: large-scale sequencing, cluster analysis and 9K micro-array resource generation.

BACKGROUND: Domestic animal breeding and product quality improvement require the control of reproduction, nutrition, health and welfare in these animals. It is thus necessary to improve our knowledge of the major physiological functions and their interactions. This would be greatly enhanced by the availability of expressed gene sequences in the databases and by cDNA arrays allowing the transcriptome analysis of any function.The objective within the AGENAE French program was to initiate a high-throughput cDNA sequencing program of a 38-tissue normalised library and generate a diverse microarray for transcriptome analysis in pig species. RESULTS: We constructed a multi-tissue cDNA library, which was normalised and subtracted to reduce the redundancy of the clones. Expressed Sequence Tags were produced and 24449 high-quality sequences were released in EMBL database. The assembly of all the public ESTs (available through SIGENAE website) resulted in 40786 contigs and 54653 singletons. At least one Agenae sequence is present in 11969 contigs (12.5%) and in 9291 of the deeper-than-one-contigs (22.8%). Sequence analysis showed that both normalisation and subtraction processes were successful and that the initial tissue complexity was maintained in the final libraries. A 9K nylon cDNA microarray was produced and is available through CRB-GADIE. It will allow high sensitivity transcriptome analyses in pigs. CONCLUSION: In the present work, a pig multi-tissue cDNA library was constructed and a 9K cDNA microarray designed. It contributes to the Expressed Sequence Tags pig data, and offers a valuable tool for transcriptome analysis.