imagine (Institute of molecular genetics and genetic engineering)
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    New trends in the diagnosis of the nature of thyroid nodules

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    Nodusi štitaste žlezde su lokalizovane morfološke promene koje se mogu klasifikovati kao benigne ili maligne. Koloidni nodusi i folikulski adenomi predstavljaju uobičajene benigne varijante nodusa štitaste žlezde, dok maligni nodusi uključuju papilarne, folikulske i medularne tumore. Istraživanja su pokazala da se učestalost malignih nodusa, posebno papilarnog tiroidnog tumora, značajno povećala u poslednje četiri decenije. Razlikovanje benignih od malignih nodusa štitaste žlezde predstavlja ključnu dijagnostičku dilemu u medicinskoj praksi, usled nedostatka jedinstvenog dijagnostičkog testa ili biomarkera koji bi pouzdano ukazao na prisustvo malignih nodusa. Genetičke modifikacije, kao što su mutacije u genima BRAF, RET i TERT, igraju značajnu ulogu u patogenezi tumora štitaste žlezde, dok azot-monoksid (NO) i mikroRNK (miRNK) predstavljaju obećavajuće biomarkere u dijagnostici malignih nodusa. U zavisnosti od koncentracije u ciljnom tkivu, NO može imati i antitumorski i tumorogeni uticaj, dok su miRNK, kao što su miR-146b, miR-221, miR-222 i miR-375, identifikovane kao indikatori maligniteta i prognostički biomarkeri malignih nodusa. U ovom preglednom radu, sumirana su najnovija saznanja iz literature koja se odnose na genetičke modifikacije, signalne puteve i uloge NO i miRNK u malignim oboljenjima štitaste žlezde, kao i novi trendovi u dijagnostici prirode nodusa štitaste žlezde.Thyroid nodules are localized morphological changes that can be classified as either benign or malignant. Colloid nodules and follicular adenomas represent common benign variants of thyroid nodules, while malignant nodules include papillary, follicular, and medullary tumours. Research has shown that the incidence of malignant nodules, particularly papillary thyroid carcinoma (PTC), has significantly increased over the past four decades. Distinguishing between benign and malignant thyroid nodules presents a critical diagnostic challenge in medical practice, due to the lack of a single diagnostic test or biomarker that could reliably indicate the presence of malignancy. Genetic modifications, such as mutations in BRAF, RET, and TERT genes, play a significant role in the pathogenesis of thyroid tumours, while nitric oxide (NO) and microRNAs (miRNAs) are emerging as promising biomarkers for malignant thyroid nodules. NO can exhibit anti-tumour and tumorigenic activities depending on its concentration in the target tissue. In contrast, miRNAs such as miR-146b, miR-221, miR-222, and miR-375 have been identified as indicators of malignancy and prognostic biomarkers for malignant thyroid nodules. In this review, we summarize recent literature findings related to genetic modifications, signaling pathways, and the roles of NO and miRNAs in malignant thyroid disorders, as well as new trends in the diagnosis of the nature of thyroid nodules

    Influence of DIO1 i DIO2 gene variants on thyroid gland function

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    Tiroidna žlezda je endokrina žlezda čoveka, koja luči hormone tiroksin (T4) i trijodtironin (T3). Mada se T3 luči u značajno manjoj količini, T3 ima veću biološku aktivnost nego T4 i većinom se stvara dejodinacijom T4 pomoću jodotironin dejodinaza tipa 1 ili 2 u perifernim tkivima. Metabolizam tiroidnih hormona, kojim upravljaju enzimi dejonidaze, kodirani genima DIO1 i DIO2, igra ključnu ulogu u brojnim fiziološkim procesima. Varijacije u ovim genima mogu uticati na nivoe tiroidnih hormona i doprineti patogenezi velikog broja poremećaja.The thyroid gland is human endocrine gland, secreting the hormones thyroxine (T4) and triiodothyronine (T3). Although T3 is secreted in significantly less quantity, T3 has greater biological activity than T4 and is mostly created by deiodination of T4 by iodothyronine deiodinases type 1 or 2 in peripheral tissues. The metabolism of thyroid hormones, regulated by deiodinase enzymes, encoded by the DIO1 and DIO2 genes, plays a key role in numerous physiological processes. Variations in these genes can affect thyroid hormone levels and contribute to the pathogenesis of a number of disorders

    Alternative transcription initiation of the SMAD4 gene in colorectal cancer

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    Fenomen aberantne upotrebe alternativnih promotora i ekspresije tumor-specifičnih transkripcionih izoformi uočen je u brojnim tipovima karcinoma. Cilj ovog istraživanja bio je funkcionalna analiza alternativnih promotora tumor-supresora SMAD4, čiji proteinski produkt ostvaruje važnu ulogu u kolorektalnom karcinomu (KRK), kao i analiza transkripata čija se ekspresija inicira sa alternativnih promotora radi pronalaženja potencijalnih biomarkera ili terapeutskih targeta. Transkriptomske, proteomske, in silico i in vitro funkcionalne analize primenjene su kako bi se ispitao profil ekspresije i uloge SMAD4 transkrpata, kao i funkcije alternativnih SMAD4 promotora u setu humanih ćelijskih linija i kliničkih uzoraka pacijenata. Glavni transkript gena SMAD4, SMAD4-201, zastupljen je sa varijabilnim udelom. Transkript SMAD4-209 predominantno je zastupljen u neizmenjenom tkivu, a predikciona analiza pokazala je vezivanje onkogenih miRNK i RNK-vezujućih proteina koji regulišu splajsovanje. SMAD4-213 zastupljen je prevashodno u tumoru, a predikciona analiza pokazala je ulogu u kodiranju okrnjenog proteina koji narušava TGF-b signalizaciju i regulatornu ulogu vezivanjem miRNK asociranih sa KRK. Alternativni promotori C i D pokazali su suprotan profil aktivnosti u tumorskom u odnosu na okolno tkivo, a diferencijalno vezani regulatorni proteini transkripcije predstavljaju jedan od mehanizama odgovornih za datu aktivnost promotora. Predložena hipoteza alternativne regulacije ekspresije SMAD4 u KRK podrazumeva postojanje parova promotora i transkripata koji pokazuju dieferencijalni obrazac aktivnosti, odnosno ekspresije u malignim u odnosu na neizmenjene ćelije: promotor C i sa njega prepisani SMAD4-209 dominantni su u neizmenjenim ćelijama, a promotor D i sa njega prepisani SMAD4-213 dominanti su u malignim ćelijama. Ovo istraživanje potvrdilo je ulogu alternativne inicijacije transkripcije gena SMAD4 u KRK. Buduća istraživanja trebalo bi da se bave terapeutskim potencijalima administracije i utišavanja SMAD4-209 i SMAD4-213, respektivno, u tumorskom tkivu.The phenomenon of aberrant use of alternative promoters and the expression of tumor- specific transcriptional isoforms has been observed in numerous types of cancer. The aim of this study was to conduct a functional analysis of alternative promoters of the tumor suppressor SMAD4, whose role is well known in colorectal cancer, as well as the analysis of transcripts transcribed from these promoters to identify potential biomarkers or therapeutic targets. Transcriptomic, proteomic, in silico, and in vitro functional analyses were applied to examine the expression profile and roles of SMAD4 transcripts, as well as the functions of alternative SMAD4 promoters in a set of human cell lines and clinical samples. Although SMAD4-201 is the main transcript of the SMAD4 gene, it is present at varying levels in tissues and cell lines. The SMAD4-209 transcript is predominantly present in non-tumor tissue and prediction analysis has shown binding of oncogenic miRNAs and RNA-binding proteins involved in splicing regulation. SMAD4-213 is primarily present in tumors, and prediction analysis has indicated its role in coding a truncated protein that disrupts TGF-β signaling and plays a regulatory role by binding miRNAs associated with colorectal cancer. Alternative promoters C and D showed opposite activity profiles in tumor compared to non-tumor environments, and differentially bound transcriptional regulators are one of the mechanisms responsible for this promoter activity. The proposed hypothesis of alternative regulation of SMAD4 expression in colorectal cancer suggests the existence of promoter and transcript pairs that show differential patterns of activity or expression in malignant versus non-malignant cells: promoter C and its respective transcript SMAD4-209 are dominant in non-malignant cells, while promoter D and its respective transcript SMAD4-213 are dominant in malignant cells. This study confirmed the role of alternative initiation of SMAD4 gene transcription in colorectal cancer. Future research should address the therapeutic potential of SMAD4-209 and SMAD4-213 by their administration and silencing in tumor tissue, respectively.Datum odbrane

    Beneficial Effects of Probiotic Lactobacillus paraplantarum BGCG11 on Pancreatic and Duodenum Function in Diabetic Rats

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    Diabetes mellitus, as a chronic metabolic disorder, significantly impacts the pancreas and among other organs, affects duodenal function. Emerging evidence suggests that probiotics can exert beneficial effects on gut health and metabolism. In our previous research, we evaluated the probiotic Lactobacillus paraplantarum BGCG11 primarily for its protective properties against diabetic rats’ damaged liver and kidneys. In this work, we further examined the effects of probiotic strain BGCG11 on the function of the duodenum and pancreas in diabetic rats. We explored the potential mechanisms underlying the probiotic’s effects, focusing on general indicators of diabetes, the architecture and morphology of pancreatic islets, duodenal integrity (measuring the transfer of fluid and serum zonulin level), and the modulation of gut microbiota composition. Our findings reveal the protective and regulatory roles of L. paraplantarum BGCG11 in mitigating diabetes-induced pancreatic and duodenal dysfunction regardless of its application time (pre- or post-treatment), highlighting its therapeutic potential in managing diabetes-related gastrointestinal complications

    Impact of Electronic Cigarette Components on Lung Cell Proteome: A High-Resolution Mass Spectrometry Analysis

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    Electronic cigarettes (e-cigarettes) are a relatively new tobacco product, and still there is much to be determined about the lasting consequences on health of these products. Despite containing mainly non-harmful substances like polyethylene glycol and glycerol, e-cigarettes can also include nicotine and various flavorings, which may contribute to their potential harm. Our aim was to determine the effects of different components of e-cigarettes on the protein composition of lung cells. We have performed the comprehensive proteome analysis of epithelial lung cells (BEAS 2B) exposed to e-cigarette vapor condensate. BEAS 2B cells were treated for 24 h with sub-cytotoxic concentration of e-cigarette vapor condensate, made from different e-cigarette liquids - with and without nicotine and with or without flavorings. The proteome analysis was performed via high resolution mass spectrometry based proteomics (Orbitrap Exploris 240, Thermo Scientific, USA). BEAS 2B proteins were identified with the PEAKS X Pro platform (Bioinformatics Solution Inc., Ontario, Canada) against a UniProtKB database of Homo sapiens and contamination database as common Repository of Adventitious Protein entries. All qualitative gene products enrichment analyses have been done with FunRich Software 1.3.1. We have found reduction in the number of proteins in exposed cells. The most affected cellular components were extracellular exosomes, mitochondria and ribosomes. Presence of nicotine and flavoring together had most effect on the following biological processes: protein translation and proteasome-mediated ubiquitin-dependent protein catabolic processes, tricarboxylic acid cycle and cellular response to interelukin-7. Our study showed that exposure to e-cigarettes affects critical cellular processes and structures, which could have implications for cell function and overall lung health. Further analysis on pathways identified will help us better understand health risks associated with e-cigarette vaping.Book of abstracts: 5th Belgrade Bioinformatics Conference, Serbia, Belgrade,17-20 june 2024

    Fine-tuning RNA-seq alignment parameters for Danio rerio genome

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    In RNA-seq analysis, mapping raw reads to the reference genome using splice-aware aligners is a matter of personal preference. However, the distribution of reads among different mapping metrics strongly depends on appropriate parameters selection. In this study we conducted a thorough analysis of parameter impact on alignment metrics using STAR aligner in 12 samples of PE150 RNA-seq data from zebrafish. When setting parameters we considered factors such as insert size distribution of pre-processed library data by fastp and the unique features of the reference genome (e.g., gene density and intron size distribution). Average number of input reads per sample were 25097912. Adjusting parameters led to significant improvements in mapping metrics, notably an increase in the percentage of uniquely mapped reads from 86.08% to 94.19%. A minor rise was observed in the percentage of reads mapped to multiple loci, with figures of 4.72% and 3.62% respectively. The quantification of reads by genomic origin has revealed an increase in uniquely mapped reads allocated to exonic regions , on average by 2,034,563 reads per sample. In addition, we’ve compared default and adjusted metrics of multi-sample 2-pass mapping, which are important when analysing differential transcript usage. In the 2-pass mode, we employed 1st pass junction files that were purged of probable false positives, such as junctions within the mitochondrial genome or those crossed by multi-mapping reads. Qualimap-rna analysis of 2-pass mapping revealed an increase in the usage of novel splice sites, as expected. However, default parameters showed higher rates of multimapping, noFeature, or ambiguous reads compared to adjusted parameters. Running alignment with default options generally performs well initially. However, proper parameter selection tailored to the characteristics of the raw library data and reference genome significantly improves alignment metrics, especially for model organisms like zebrafish.Book of abstracts: 5th Belgrade Bioinformatics Conference, Serbia, Belgrade,17-20 june 2024

    Identification of Synonymous Genetic Variants Associated with Idiopathic Thrombosis using whole exome sequencing

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    The etiology of substantial number of thrombosis cases remains undetermined. Sequencing and comprehensive analysis of the entire exome in patients with idiopathic thrombosis enable the identification of novel gene variants potentially significant for disease onset and the discovery of previously unknown molecular mechanisms underlying this multifactorial condition. This study aimed to investigate synonymous genetic variants potentially linked to thrombosis. While previous studies predominantly focused on missense and stop gain variants, the role of synonymous variants in thrombosis susceptibility remains relatively overlooked. The study included 50 subjects: 17 patients with recurrent idiopathic thrombosis and 33 controls from the general population. Whole exome sequencing (WES) was performed according to protocol of the Beijing Genomics Institute and subsequent FASTQ files were processed to obtain Variant Call Format (VCF) files with annotations. While the entire exome was examined, a panel of 55 genes was selected for more focused analysis. The data were filtered to extract only synonymous variants within the genes in this panel. Statistical analyses were performed by creating contingency table counts in R and by applying weights and utilizing chi-square or Fisher’s exact tests in Python. A p value of p < 0.05 was defined as statistically significant. A total of 15 synonymous variants exhibiting statistical significance in the idiopathic thrombosis group were identified. Variants were detected in PLG, PROC, ABO, KNG1, ADAMTS13, ACE, HIVEP1 and F2 genes. In conclusion, although the study exhibits considerable limitations due to the small sample size, the identification of significant synonymous variants underscored a potential association between thrombosis and these genetic determinants. Further studies with larger cohorts are imperative to validate and expand upon these initial findings.Book of abstracts: 5th Belgrade Bioinformatics Conference, Serbia, Belgrade,17-20 june 2024

    Genome-wide association study identified genetic signal in cystatin genes associated with Long COVID-19

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    acute phase of a SARS-CoV-2 infection. It can affect individuals who had both severe and mild cases of COVID-19. The genetic predisposition to this condition remains largely unexplored. This study aimed to identify genomic loci associated with Long COVID-19. The study included 92 patients with confirmed infection with SARS-CoV-2 during the delta variant wave and treated in hospital settings. These patients were monitored for up to six months after the acute infection. All patients were genotyped using the Illumina Infinium global screening array, which covers over 700,000 genomic variants. Imputation was employed to expand the number of variants to 12,001,939 using the 1kGP Phase 3 human reference panels. We conducted a genome-wide association analysis using an in-house built pipeline on the Cancer Genomic Cloud platform. Our results identified association signals in the 20p11.21 genomic locus, with the lead variant being rs1275745396 (p = 6.181x10-8), located within cystatin genes (CST3, CST4, CST1). The cystatin family consists of cysteine protease inhibitors, involved in various physiological processes. Previous literature has linked serum and saliva cystatin levels to COVID-19 severity and outcomes. Moreover, cystatin’s role in taste perception has been recognized previously, which is in line with the well-known perturbations in sensory perception caused by COVID-19. This study is the first to find a genetic association between cystatin genes and Long COVID-19. Further research is necessary to elucidate the role of the cystatin protein family and the biological processes underlying Long COVID-19. A deeper understanding of Long COVID-19 can inform the development of preventive and therapeutic strategies.Book of abstracts: 5th Belgrade Bioinformatics Conference, Serbia, Belgrade,17-20 june 2024

    Molecular genetic basis of childhood epilepsy in Serbia: utility of clinical and whole exome sequencing

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    Childhood epilepsies are caused by heterogeneous underlying disorders where approximately 40% of the origins of epilepsy can be attributed to genetic factors. The application of next-generation sequencing (NGS) has revolutionized molecular diagnostics and has enabled identification of disease-causing genes and variants in epilepsies. In our study, 55 children with epilepsy of unknown etiology were analyzed combining clinical-exome (CES) and whole-exome sequencing (WES). Novel variants were characterized using various in silico algorithms for pathogenicity and structure prediction. Molecular genetic cause of epilepsy was identified in 28 patients and the overall diagnostic success rate was 50.9%. We identified variants in 22 different genes associated with epilepsy that correlate well with the described phenotype. SCN1A gene variants were found in 5 unrelated patients, while ALDH7A1 and KCNQ2 gene variants were found twice. In the other 19 genes, variants were found only in a single patient. This includes genes: ASH1L, CSNK2B RHOBTB2 and SLC13A5, which have only recently been associated with epilepsy. Almost half of diagnosed patients (46.4%) carried novel variants. Interestingly, identification of variants in ALDH7A1, KCNQ2, PNPO, SCN1A and SCN2A gene directed therapy decision of 11 children from our study, including four children who all carry novel SCN1A genetic variants. Our study emphasizes the importance of NGS in diagnosing childhood epilepsy. With an increasing number of genes associated with epilepsy, comprehensive analysis using CES and WES is crucial for high diagnostic success. Given the expansion of molecular-based approaches, each newly identified genetic variant could become a potential therapeutic target.Book of abstracts: 5th Belgrade Bioinformatics Conference, Serbia, Belgrade,17-20 june 2024

    BRIDGing the research and INnovation Gap for Rare Diseases in Europe by upgrading excellence of IMGGE (BRIDGING-RD)

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    There are over 330 million people living on the planet affected by one of over 6,000 identified genetic rare diseases (RD). They urgently need timely diagnosis and development of specific treatments. Although Europe leads the way in RD research, there is a clear gap in research and innovation (R&I) between countries. To bridge this gap, networking and knowledge sharing between IMGGE (Institute of Molecular Genetics and Genetic Engineering, Serbia) and 3 world- class counterparts at EU level - KI (Karolinska Institute, Sweden), CNAG (National Center for Genomic Analysis, Spain) and UAM (Autonomous University of Madrid, Spain) is envisioned. BRIDGING-RD’s objectives are: (1) upgrade the IMGGE RD Biobank to reach full interoperability of genetic and phenotypic data in order to increase participation in transnational research and innovation projects related to human health; (2) upgrade bioinformatics pipelines specific to RD to increase the rate of solved RD cases in IMGGE’s RD Biobank; (3) upgrade capacity for modelling of metabolic diseases as well as capacity to test small molecule drugs, in order to increase the number of translational studies; (4) upgrade research support offices in order to increase success in obtaining funds from research and/or innovation agencies, industry, foundations etc. Objectives will be achieved through staff exchanges, expert visits, trainings or workshops, conference attendance, joint summer schools and dissemination/outreach activities. Crucially, an exploratory R&I project, engaging all partners will focus on identifying an innovative drug, pharmacochaperone, for a selected metabolic RD. BRIDGING-RD will have impact by significantly improving the scientific excellence and innovation capacity of IMGGE, raising its research reputation and research management skills. It will also impact networking and mobility of qualified scientists in the RD field, thus boosting creativity and ultimately enhancing economic growth at the European level.Principal Investigator: Dr. Maja Stojiljković, IMGGEDuration period: 2024-202

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