Evolution of journal clubs: fostering collaborative learning in modern research.

Journal clubs have been a staple in scientific communities, facilitating discussions on recent publications. However, the overwhelming volume of biomedical information poses a challenge in literature selection. This article provides an overview of journal club types and their efficacy in training potential peer reviewers, enhancing communication skills, and critical thinking. Originating in the 19th century, journal clubs have evolved from traditional in-person meetings to virtual or hybrid formats, accelerated by the COVID-19 pandemic. Face-to-face interactions offer personal connections, while virtual events ensure wider participation and accessibility. Organizing journal clubs demands effort, but it has several benefits, including promoting new publications and providing a platform for meaningful discussions. The virtual CardioRNA J-club experience exemplifies successful multidisciplinary collaboration, fostering international connections and inspiring new research. Journal clubs remain a vital component of academic research, equipping senior researchers with the latest developments and nurturing the next generation of scientists. As millennial and Gen Z researchers join the scientific field, journal clubs continue to evolve as a fertile ground for education and collaborative learning in an ever-changing scientific landscape.

Harnessing the power of RNA therapeutics in treating ischemic heart failure: the TRAIN-HEART story.

Ischemic heart disease (IHD) is one of the world's foremost killers, accounting for 16% of all deaths worldwide. IHD is the main cause of heart failure (HF), as it leads to pathological changes in the heart, improper pumping function and eventual death. Therapeutic interventions usually follow a systemic general strategy for all heart failure subtypes due to the lack of a deep understanding of the disease mechanisms. Hence, HF and IHD therapeutics need groundbreaking concepts to guide the development of a new therapeutics class that tackles the disease at a molecular level. The TRAIN-HEART consortium, a Marie Sklodowska-Curie Actions Innovative Training Network (MSCA-ITN) funded by the European Commission, was established with the goal of filling that gap and developing RNA-based cardiovascular therapeutics. Created in the context of the Horizon 2020 research and innovation program, TRAIN-HEART comprises three key work packages (WPs) focusing on the pathogenesis of heart disease (WP1), the therapeutic potential of RNA therapeutics (WP2), and the development of new efficient delivery systems (WP3). Fifteen international early stage researchers (ESRs) from multiple complementary scientific disciplines were recruited to collaborate with a network of PIs from nine academic and eight non-academic partners in various disciplines to fully harness their collective potential for the betterment of HF treatment. This article provides an overview of the benefits of being part of an MSCA-ITN, with its different training and networking opportunities, maximizing ESRs' potential and broadening collaborative research possibilities. Finally, it describes what was like to do a PhD during the COVID-19 pandemic, with all the uncertainty and concern attached to it. Luckily, TRAIN-HEART stood out as a proactive network, finding new initiatives and alternatives to promote scientific and personal development. By bringing together leading academic teams, (biotech) companies, and highly motivated researchers, TRAIN-HEART is expanding scientific horizons and accelerating future development of effective RNA-based therapies to treat IHD.

Computational analysis of sense-antisense chimeric transcripts reveals their potential regulatory features and the landscape of expression in human cells.

Many human genes are transcribed from both strands and produce sense-antisense gene pairs. Sense-antisense (SAS) chimeric transcripts are produced upon the coalescing of exons/introns from both sense and antisense transcripts of the same gene. SAS chimera was first reported in prostate cancer cells. Subsequently, numerous SAS chimeras have been reported in the ChiTaRS-2.1 database. However, the landscape of their expression in human cells and functional aspects are still unknown. We found that longer palindromic sequences are a unique feature of SAS chimeras. Structural analysis indicates that a long hairpin-like structure formed by many consecutive Watson-Crick base pairs appears because of these long palindromic sequences, which possibly play a similar role as double-stranded RNA (dsRNA), interfering with gene expression. RNA-RNA interaction analysis suggested that SAS chimeras could significantly interact with their parental mRNAs, indicating their potential regulatory features. Here, 267 SAS chimeras were mapped in RNA-seq data from 16 healthy human tissues, revealing their expression in normal cells. Evolutionary analysis suggested the positive selection favoring sense-antisense fusions that significantly impacted the evolution of their function and structure. Overall, our study provides detailed insight into the expression landscape of SAS chimeras in human cells and identifies potential regulatory features.

Non-Coding RNA Databases in Cardiovascular Research.

Cardiovascular diseases (CVDs) are of multifactorial origin and can be attributed to several genetic and environmental components. CVDs are the leading cause of mortality worldwide and they primarily damage the heart and the vascular system. Non-coding RNA (ncRNA) refers to functional RNA molecules, which have been transcribed into DNA but do not further get translated into proteins. Recent transcriptomic studies have identified the presence of thousands of ncRNA molecules across species. In humans, less than 2% of the total genome represents the protein-coding genes. While the role of many ncRNAs is yet to be ascertained, some long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) have been associated with disease progression, serving as useful diagnostic and prognostic biomarkers. A plethora of data repositories specialized in ncRNAs have been developed over the years using publicly available high-throughput data from next-generation sequencing and other approaches, that cover various facets of ncRNA research like basic and functional annotation, expressional profile, structural and molecular changes, and interaction with other biomolecules. Here, we provide a compendium of the current ncRNA databases relevant to cardiovascular research.

ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps.

Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and progression. ChiTaRS 5.0 (http://chitars.md.biu.ac.il/) is the latest and most comprehensive chimeric transcript repository, with 111 582 annotated entries from eight species, including 23 167 known human cancer breakpoints. The database includes unique information correlating chimeric breakpoints with 3D chromatin contact maps, generated from public datasets of chromosome conformation capture techniques (Hi-C). In this update, we have added curated information on druggable fusion targets matched with chimeric breakpoints, which are applicable to precision medicine in cancers. The introduction of a new section that lists chimeric RNAs in various cell-lines is another salient feature. Finally, using text-mining techniques, novel chimeras in Alzheimer's disease, schizophrenia, dyslexia and other diseases were collected in ChiTaRS. Thus, this improved version is an extensive catalogue of chimeras from multiple species. It extends our understanding of the evolution of chimeric transcripts in eukaryotes and contributes to the analysis of 3D genome conformational changes and the functional role of chimeras in the etiopathogenesis of cancers and other complex diseases.

RNA-seq reveals outcome-specific gene expression of MMP7 and PCK1 in biliary atresia.

The disease phenotype in biliary atresia (BA) is caused by a fibro-inflammatory process leading to destruction of cholangiocytes, obstruction of ductular pathways and eventual progression to liver cirrhosis. The first line of management is a Kasai portoenterostomy (KPE) followed by liver transplantation (LT) in some children. Several factors have been postulated to affect the outcome of KPE and/or the subsequent progression of liver disease. However, no biomarkers have been identified in the liver for BA. We aimed to address this deficit. Whole transcriptome mRNA sequencing was performed for 29 samples (25 BA and 4 Controls) to identify the candidate genes predicting the prognosis of KPE. These results were further confirmed with quantitative Realtime PCR (qPCR). Analysis from RNA-sequencing data identified matrix metalloproteinase7 (MMP7) and phosphoenolpyruvate carboxykinase (PCK1) as potential determinants of the outcome of KPE. MMP7 expression was significantly elevated in patients who failed to clear jaundice after KPE as well as in patients with End Stage Liver Disease (ESLD). In contrast, PCK1 level was upregulated in patients who had successful KPE, while there was a significant down regulation in patients who failed KPE. MMP7 and PCK1 expression patterns had an inverse relation to the outcome of KPE and hence could potentially be used as biomarkers to predict KPE outcome and disease progression, enabling clinicians to design new treatment strategies for BA.