Transcriptional dynamics of the human DMD locus

The human DMD locus encodes dystrophin protein. Absence or reduced levels of dystrophin (DMD or BMD phenotype, respectively) lead to progressive muscle wasting. Little is known about the complex coordination of dystrophin expression and its transcriptional regulation is a field of intense interest. In this work we found that DMD locus harbours multiple long non coding RNAs which orchestrate and control transcription of muscle dystrophin mRNA isoforms. These lncRNAs are tissue-specific and highly expressed during myogenesis, suggesting a possible role in tissue-specific expression of DMD gene isoforms. Their forced ectopic expression in human muscle and neuronal cells leads to a specific and negative regulation of endogenous dystrophin full lenght isoforms. An intriguing aspect regarding the transcription of the DMD locus is the gene size (2.4Mb). The mechanism that ensures the complete synthesis of the primary transcript and the coordinated splicing of 79 exons is still completely unknown. By ChIP-on-chip analyses, we discovered novel regions never been involved before in the transcription regulation of the DMD locus. Specifically, we observed enrichments for Pol II, P-Ser2, P-Ser5, Ac-H3 and 2Me-H3K4 in an intronic region of 3Kb (approximately 21Kb) downstream of the end of DMD exon 52 and in a region of 4Kb spanning the DMD exon 62. Interestingly, this latter region and the TSS of Dp71 are strongly marked by 3Me-H3K36, an histone modification associated with the regulation of splicing process. Furthermore, we also observed strong presence of open chromatin marks (Ac-H3 and 2Me-H3K4) around intron 34 and the exon 45 without presence of RNA pol II. We speculate that these two regions may exert an enhancer-like function on Dp427m promoter, although further investigations are necessary. Finally, we investigated the nuclear-cytoplasmic compartmentalization of the muscular dystrophin mRNA and, specifically, we verified whether the exon skipping therapy could influence its cellular distribution.

Involvement of microRNAs in Androgen Receptor-dependent Breast Cancers

Triple negative breast cancer (TNBC) is a very aggressive tumor subtype characterized by the lack of expression of estrogen receptor 1 (ESR1), due in the most of cases to an increased expression of DNA methyltransferases (DNMTs) and hypermethylation in CpG islands, resulting in gene silencing. Furthermore, in ESR1- negative breast cancers, androgen receptor (AR) is highly expressed and some studies suggest that it can drive tumor progression and might represent a therapeutic target. A correlation between microRNAs, small non-coding RNAs that regulate gene expression, and DNMTs was investigated in a TNBC cell line to restore a normal methylation pattern of ESR1, leading to its re-expression and conferring again sensitivity to selective estrogen receptor modulators (SERMs). miR-148A and miR-29B were found to be involved in the reduction of the expression of DNMT1 and DNMT3A and in a slight increase of ESR1 expression, but not at protein level. Then, we found a down-regulation of AR by miRs-7, -9, -27a, -27b, -29a, -29b, -29c, -127-3p, -127-5p and -376 at 48h post transfection and an up-regulation by miR-15a and miR-16 at every time considered. We concomitantly investigated a possible increase of Tamoxifen, Herceptin and Metformin sensitivity after AR silencing in MDA-MB 453 and T-47D cell lines. Cells seemed more sensitive when silenced for AR only in MDA-MB-453 at 24h post Tamoxifen treatment. Studies on Metformin have basically confirmed an increase of drug sensitivity due to AR silencing in both cell lines. Analysis of Herceptin showed how MDA-MB 453 samples silenced for AR have a slight decrease in the percentage of proliferating cells, demonstrating a possible increase in the response to treatment. These preliminary data provide the basis for further study of the modulation of the expression of AR by microRNAs and it will be interesting to understand the molecular mechanisms underlying these interactions.

Regulatory networks of Neisseria meningitidis and their implications for pathogenesis

Neisseria meningitidis, the leading cause of bacterial meningitis, can adapt to different host niches during human infection. Both transcriptional and post-transcriptional regulatory networks have been identified as playing a crucial role for bacterial stress responses and virulence. We investigated the N. meningitidis transcriptional landscape both by microarray and by RNA sequencing (RNAseq). Microarray analysis of N. meningitidis grown in the presence or absence of glucose allowed us to identify genes regulated by carbon source availability. In particular, we identified a glucose-responsive hexR-like transcriptional regulator in N. meningitidis. Deletion analysis showed that the hexR gene is accountable for a subset of the glucose-responsive regulation, and in vitro assays with the purified protein showed that HexR binds to the promoters of the central metabolic operons of meningococcus, by targeting a DNA region overlapping putative regulatory sequences. Our results indicate that HexR coordinates the central metabolism of meningococcus in response to the availability of glucose, and N. meningitidis strains lacking the hexR gene are also deficient in establishing successful bacteremia in a mouse model of infection. In parallel, RNAseq analysis of N. meningitidis cultured under standard or iron-limiting in vitro growth conditions allowed us to identify novel small non-coding RNAs (sRNAs) potentially involved in N. meningitidis regulatory networks. Manual curation of the RNAseq data generated a list of 51 sRNAs, 8 of which were validated by Northern blotting. Deletion of selected sRNAs caused attenuation of N. meningitidis infection in a murine model, leading to the identification of the first sRNAs influencing meningococcal bacteraemia. Furthermore, we describe the identification and initial characterization of a novel sRNA unique to meningococcus, closely associated to genes relevant for the intracellular survival of pathogenic Neisseriae. Taken together, our findings could help unravel the regulation of N. meningitidis adaptation to the host environment and its implications for pathogenesis.