The lncRNA Sweetheart regulates compensatory cardiac hypertrophy after myocardial injury in murine males.

After myocardial infarction in the adult heart the remaining, non-infarcted tissue adapts to compensate the loss of functional tissue. This adaptation requires changes in gene expression networks, which are mostly controlled by transcription regulating proteins. Long non-coding transcripts (lncRNAs) are taking part in fine-tuning such gene programs. We describe and characterize the cardiomyocyte specific lncRNA Sweetheart RNA (Swhtr), an approximately 10 kb long transcript divergently expressed from the cardiac core transcription factor coding gene Nkx2-5. We show that Swhtr is dispensable for normal heart development and function but becomes essential for the tissue adaptation process after myocardial infarction in murine males. Re-expressing Swhtr from an exogenous locus rescues the Swhtr null phenotype. Genes that depend on Swhtr after cardiac stress are significantly occupied and therefore most likely regulated by NKX2-5. The Swhtr transcript interacts with NKX2-5 and disperses upon hypoxic stress in cardiomyocytes, indicating an auxiliary role of Swhtr for NKX2-5 function in tissue adaptation after myocardial injury.

In silico analysis of genetic VapC profiles from the toxin-antitoxin type II VapBC modules among pathogenic, intermediate, and non-pathogenic Leptospira

Pathogenic Leptospira spp. is the etiological agent of leptospirosis. The high diversity among Leptospira species provides an array to look for important mediators involved in pathogenesis. Toxin-antitoxin (TA) systems represent an important survival mechanism on stress conditions. vapBC modules have been found in nearly one thousand genomes corresponding to about 40% of known TAs. In the present study, we investigated TA profiles of some strains of Leptospira using a TA database and compared them through protein alignment of VapC toxin sequences among Leptospira spp. genomes. Our analysis identified significant differences in the number of putative vapBC modules distributed in pathogenic, saprophytic, and intermediate strains: four in L. interrogans, three in L. borgpetersenii, eight in L. biflexa, and 15 in L. licerasiae. The VapC toxins show low identity among amino acid sequences within the species. Some VapC toxins appear to be exclusively conserved in unique species, others appear to be conserved among pathogenic or saprophytic strains, and some appear to be distributed randomly. The data shown here indicate that these modules evolved in a very complex manner, which highlights the strong need to identify and characterize new TAs as well as to understand their regulation networks and the possible roles of TA systems in pathogenic bacteria.

In silico analysis of genetic VapC profiles from the toxin-antitoxin type II VapBC modules among pathogenic, intermediate, and non-pathogenic Leptospira

Pathogenic Leptospira spp. is the etiological agent of leptospirosis. The high diversity among Leptospira species provides an array to look for important mediators involved in pathogenesis. Toxin-antitoxin (TA) systems represent an important survival mechanism on stress conditions. vapBC modules have been found in nearly one thousand genomes corresponding to about 40% of known TAs. In the present study, we investigated TA profiles of some strains of Leptospira using a TA database and compared them through protein alignment of VapC toxin sequences among Leptospira spp. genomes. Our analysis identified significant differences in the number of putative vapBC modules distributed in pathogenic, saprophytic, and intermediate strains: four in L. interrogans, three in L. borgpetersenii, eight in L. biflexa, and 15 in L. licerasiae. The VapC toxins show low identity among amino acid sequences within the species. Some VapC toxins appear to be exclusively conserved in unique species, others appear to be conserved among pathogenic or saprophytic strains, and some appear to be distributed randomly. The data shown here indicate that these modules evolved in a very complex manner, which highlights the strong need to identify and characterize new TAs as well as to understand their regulation networks and the possible roles of TA systems in pathogenic bacteria.