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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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GALEON: A Comprehensive Bioinformatic Tool to Analyse and Visualise Gene Clusters in Complete Genomes

MotivationGene clusters, defined as a set of genes encoding functionally-related proteins, are abundant in eukaryotic genomes. Despite the increasing availability of chromosome-level genomes, the comprehensive analysis of gene family evolution remains largely unexplored, particularly for large and highly dynamic gene families or those including very recent family members. These challenges stem from limitations in genome assembly contiguity, particularly in repetitive regions such as large gene clusters. Recent advancements in sequencing technology, such as long reads and chromatin contact mapping, hold promise in addressing these challenges. ResultsTo facilitate the identification, analysis, and visualisation of physically clustered gene family members within chromosome-level genomes, we introduce GALEON, a user-friendly bioinformatic tool. GALEON identifies gene clusters by studying the spatial distribution of pairwise physical distances among gene family members along with the genome-wide gene density. The pipeline also enables the simultaneous analysis and comparison of two gene families, and allows the exploration of the relationship between physical and evolutionary distances. This tool offers a novel approach for studying the origin and evolution of gene families. Availability and ImplementationGALEON is freely available from http://www.ub.edu/softevol/galeon, and from https://github.com/molevol-ub/galeon

genomics↗

Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes

Chromosome Conformation Capture (3C) methods, including Hi-C (a high-throughput variation of 3C), detect pairwise interactions between DNA regions, enabling the reconstruction of chromatin architecture in the nucleus. HiChIP is a modification of the Hi-C experiment, which includes a chromatin immunoprecipitation step (ChIP), allowing genome-wide identification of chromatin contacts mediated by a protein of interest. In mammalian cells, cohesin protein complex is one of the major players in the establishment of chromatin loops. We present an improved cohesin HiChIP experimental protocol. Using comprehensive bioinformatic analysis, we show that performing cohesin HiChIP with two cross-linking agents (formaldehyde [FA] and EGS) instead of the typically used FA alone, results in a substantially better signal-to-noise ratio, higher ChIP efficiency and improved detection of chromatin loops and architectural stripes. Additionally, we propose an automated pipeline called nf-HiChIP (https://github.com/SFGLab/hichip-nf-pipeline) for processing HiChIP samples starting from raw sequencing reads data and ending with a set of significant chromatin interactions (loops), which allows efficient and timely analysis of multiple samples in parallel, without the need of additional ChIP-seq experiments. Finally, using novel approaches for biophysical modelling and stripe calling we generate accurate loop extrusion polymer models for a region of interest and a detailed picture of architectural stripes, respectively.

genomics↗

Functionally Validated Proteome-Wide Bioinformatic Annotation of the Monotopic Phosphoglycosyl Transferase Family

Phosphoglycosyl transferases (PGTs) are membrane proteins that initiate glycoconjugate biosynthesis by transferring a phospho-sugar moiety from a soluble nucleoside diphosphate sugar to a membrane-embedded polyprenol phosphate acceptor. The centrality of PGTs in complex glycan assembly and the current lack of functional information make these enzymes high-value targets for biochemical investigation. In particular, the small monotopic PGT family is exclusively bacterial and represents the minimal functional unit of the monotopic PGT superfamily. Here, we combine a sequence similarity network (SSN) analysis with a generalizable, luminescence-based activity assay to probe the substrate specificity of this family of monoPGTs in a bacterial cell-membrane fraction. This strategy allows us to identify specificity on a far more significant scale than previously achievable and correlate preferred substrate specificities with predicted structural differences within the conserved monoPGT fold. Finally, we present the proof-of-concept for a small-scale inhibitor screen (eight nucleoside analogs) with four monoPGTs of diverse substrate specificity, thus building a foundation for future inhibitor discovery initiatives. SignificanceUncovering the function and specificity of enzymes responsible for glycoconjugate biosynthesis traditionally requires a multi-faceted and individually curated approach. This is especially true for bacterial glycoconjugates due to greater monosaccharide diversity and a paucity of established structural information. Here we leverage bioinformatic and in-vitro tools to predict and validate substrate specificity for a unique, exclusively bacterial family of enzymes responsible for the first step in many of these glycan assembly pathways. We further show that this platform is suitable for enhanced functional annotation and inhibitor testing, paving the way for the development of urgently needed antibiotics.

biochemistry↗

Bioinformatic discovery of type 11 secretion system (T11SS) cargo across the Proteobacteria

Type 11 secretion systems (T11SS) are broadly distributed among proteobacteria, with more than 3000 T11SS family outer membrane proteins (OMPs) comprising 10 major sequence similarity network (SSN) clusters. Of these, only 7, all from animal-associated cluster 1, have been experimentally verified as secretins of cargo, including adhesins, hemophores, and metal binding proteins. To identify novel cargo of a more diverse set of T11SS, we identified gene families co-occurring in gene neighborhoods with either cluster 1 or marine microbe-associated cluster 3 T11SS OMP genes. We developed bioinformatic controls to ensure perceived co-occurrences are specific to T11SS, and not general to OMPs. We found that both cluster 1 and cluster 3 T11SS OMPs frequently co-occur with single carbon metabolism and nucleotide synthesis pathways, but that only cluster 1 T11SS OMPs had significant co-occurrence with metal and heme pathways, as well as with mobile genetic islands, potentially indicating diversified function of this cluster. Cluster 1 T11SS co-occurrences included 2556 predicted cargo proteins, unified by the presence of a C-terminal {beta}-barrel domain, which fall into 141 predicted UniRef50 clusters and approximately 10 different architectures: 4 similar to known cargo and 6 uncharacterized types. We experimentally demonstrate T11SS-dependent secretion of an uncharacterized cargo type with homology to Plasmin sensitive protein (Pls). Unexpectedly, genes encoding marine cluster 3 T11SS OMPs only rarely co-occurred with the C-terminal {beta}-barrel domain and instead frequently co-occurred with DUF1194-containing genes. Overall, our results show that with sufficiently large-scale and controlled genomic data, T11SS-dependent cargo proteins can be accurately predicted. Impact StatementWe describe a novel method for controlling genomic neighborhood analyses and use this controlled co-occurrence technique to examine two distinct clusters of genes from the recently described type 11 secretion system (T11SS): Cluster 1, predominantly encoded by host-associated microbes and Cluster 3, encoded by marine microbes. We found that both clusters of predicted T11SS frequently co-occur with single carbon metabolism and nucleotide synthesis pathways, but only the host-associated cluster co-occurred with iron uptake pathways. Using these datasets, we predicted 2687 T11SS dependent cargo with approximately ten unique architectures, six of which have not previously been linked to T11SS. Finally, we validate our results by demonstrating T11SS-dependent secretion of a cargo protein with one of the novel architectures, plasmin-sensitive surface protein Pls from Haemophilus parahaemolyticus. Data SummaryThis paper describes genomic co-occurrences of T11SS OMP sequences originally identified through sequence similarity networking in a previous publication [3] as constituents of similarity clusters, 1 and 3. Accession IDs and assorted metadata for those clusters/networks are listed in Table S1 of that article: https://journals.asm.org/doi/suppl/10.1128/mbio.01956-21/suppl_file/mbio.01956-21-st001.xlsx. All other supporting data, accession IDs, code, and protocols have been provided within this article or through supplementary data files. Additionally, all supplemental data are available on Figshare (https://doi.org/10.6084/m9.figshare.28514069.v2) [1]. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/615229v2_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@c9123dorg.highwire.dtl.DTLVardef@cc7295org.highwire.dtl.DTLVardef@76a60corg.highwire.dtl.DTLVardef@18f6c6d_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Transcriptional Regulation of human NMNAT2: Insights from 3D Genome Sequencing and Bioinformatics

AbstractNicotinamide mononucleotide adenylyl transferases 2 (NMNAT2) is a crucial nicotinamide adenine dinucleotide (NAD)-synthesizing enzyme essential for neuronal health. In the Religious Orders Study/Memory and Aging Project (ROSMAP), human brain levels of NMNAT2 mRNA positively correlated with cognitive capabilities in older adults. NMNAT2 mRNA abundance is significantly reduced following various insults or proteinopathies. To elucidate the transcriptional regulation of NMNAT2, we employed circular chromosome conformation capture followed by high-throughput sequencing (4C-seq) to identify potential NMNAT2 enhancer and silencer regions by determining genomic regions interacting with the NMNAT2 promoter in human SH-SY5Y cells. We discovered distinct NMNAT2 promoter interactomes in undifferentiated versus neuron-like SH-SY5Y cells. Utilizing bioinformatics analyses, we identified putative transcriptional factors and NMNAT2-associated genes. Notably, the mRNA levels of many of these genes showed a significant correlation with NMNAT2 mRNA levels in [~]400 single-nuclei RNA-seq datasets from ROSMAP. Additionally, using CRISPR-Cas9 strategies, we confirmed the requirement of two specific genomic regions within the interactomes and four transcription factors in regulating NMNAT2 transcription. In summary, our study identifies genomic loci containing NMNAT2 regulatory elements and predicts associated genes and transcription factors through computational analyses.

neuroscience↗

Functional, Biotinylproteomic and Bioinformatic Analysis of Both Cytoskeletal and Plastoskeletal Proteins in Plant Mechanoresponse

To investigate the early signaling components of skeletal proteins in mediating Arabidopsis thigmomorphogenesis, both microscopic and proximity labeling (PL)-based quantitative biotinylproteomics were applied to investigate the subcellular location and putative interactors of a touch-responsive WPRa4 protein. These experiments have demonstrated that the cytoskeletal protein WPRa4 is localized nearby the plastid. Several cytosolic Plastid Movement-Impaired (PMI) proteins and a member of the plastidic translocon were identified as putative interactors of WPRa4, suggesting an integrated network of skeletal proteins linking the cytoskeleton with the plastid membrane. Further bioinformatic analysis of both Proximity Labeling- and XL-MS-based proteomic results suggested that Plastid Movement-Impaired 4 (PMI4) protein may serve as a candidate in mediating the plant touch response. The loss-of-function pmi4 mutant showed neither the touch-induced bolting delay nor the rosette size reduction upon repetitive touches, suggesting that pmi4 is a unique type of mutant of Arabidopsis thigmomorphogenesis. Moreover, the null mutant pmi4 displayed a severe defect in the touch-induced Ca2+ oscillation. Further transcriptomic analysis performed on both the wild-type Arabidopsis and pmi4 mutant indicated that the mutated pmi4 gene suppressed the expression of a number of touch rapidly induced transcripts and a JA-responsive gene, LOX2. These findings led us to propose a revised touch force-sensing theory, in which the interconnected cytosolic and plastidic skeletal proteins serve as the early mechano-sensing components mediating Arabidopsis thigmomorphogenesis and the retrograde calcium signaling in response to touch.

plant biology↗

Diversity and prevalence of amino acid decarboxylase enzymes in the human gut microbiome -- a bioinformatics investigation

Biogenic amines play numerous biological functions that include neuromodulation, maintenance of the gut health and motility, gastric acid secretion, regulation of immune response, cell growth, and gene expression. Therefore, it is crucial to comprehend the potential modulation of these molecules by the human gut microbiota. A primary pathway for the generation of these molecules involves the decarboxylation of amino acids, a process facilitated by enzymes known as amino acid decarboxylases (AADCs). Here, we conducted a bioinformatic analysis to understand diversity and prevalence of AADCs from the most prevalent members of the human gut microbiome. This study aims to understand how human gut microbes generate metabolites that influence health and disease, through specific enzyme activities, with a focus on recognizing the potential role of gut microbiota in neuromodulation, gastrointestinal dysfunctions, immune response regulation, and other critical biological functions. Our results indicate that AADCs are most abundant in the prominent gut microbial genera, namely Bacteroides, Parabacteroides, Alistipes, and Enterococcus. Furthermore, among AADCs, arginine decarboxylases are the most common, present in approximately 60% of the frequently found members of the human gut microbiome, followed by aspartate 1-decarboxylases and glutamate decarboxylases. We also found that Enterococcus faecalis harbors the most variety of amino acid decarboxylases, potentially playing an important role in driving decarboxylation chemistry in the human gut. In addition, our sequence analyses of various AADCs demonstrated that a tetrad of amino acids in the PLP binding motif can provide functional identification for AADCs. We hypothesize that the diversity in AADCs and the microbes that harbor them has the potential to alter host metabolic outputs. This could provide a mechanism to use specific changes in microbial genera or species to understand possible metabolite modulations that might influence biological functions. Such studies could lay the groundwork for developing future disease markers or therapeutic interventions.

biochemistry↗

A bioinformatic workflow to facilitate the study of less-understood proteins: the case of SH2D2A

Adaptor proteins are key regulators of immune signalling but are challenging to study due to redundant pathways that obscure clear functional "anchor" phenotypes. Making use of public single-cell RNA sequencing (scRNA-seq) datasets, we theorised that anchors could be identified by working in the reverse direction: starting from the transcriptomic level and working "bottom-up" to identify anchoring phenomena at the cell surface. We have produced a prototype workflow for this method using the case of the lymphocyte-enriched adaptor protein SH2D2A, whose function remains uncertain. Using our bottom-up analysis, we have identified a link between SH2D2A and T cell-T cell (T-T) synapses enriched for ITGB2. The functional implications of this link are currently being explored, but further application of this bioinformatic approach to less-understood proteins may prove useful in understanding the minutiae of immune cell signalling, with implications for immunotherapy.

molecular biology↗

Bioinformatics analysis identifies sequence determinants of enzymatic activity for the PHARC associated lipase ABHD12

In humans, PHARC (polyneuropathy, hearing loss, ataxia, retinitis pigmentosa, and cataract) is an early onset autosomal recessive neurological disorder caused by deleterious mutations to ABHD12 (/{beta}-hydrolase domain protein # 12). Biochemically, ABHD12 functions as a lipase, and catalyzes the hydrolysis of lysophosphatidylserine (lyso-PS) (lyso-PS lipase). By doing so, it controls the concentrations and signaling pathways regulated by this potent signaling lysophospholipid in the mammalian brain. While genetic mapping efforts have identified over 30 mutations in ABHD12 from human PHARC subjects, the biochemical activity of these pathogenic mutants remains unknown. To understand this, here, we performed an exhaustive bioinformatics survey, and collated ABHD12 protein sequences from various organisms across evolution. Next, based on sequence alignments and structural modeling, we identified functionally relevant conserved residues in the ABHD12 protein sequence that are potentially important for its enzymatic activity. To validate these in silico findings, we generated numerous mutants of murine ABHD12, including those associated with human PHARC subjects, and assayed them for their enzymatic activity. Taken together, these complementary in silico and biochemical studies provide the first thorough sequence-function relationship for mammalian ABHD12, especially relevant in the context of PHARC. Finally, our evolutionary analysis identified CG15111 as an ABHD12 ortholog in the fruit fly (Drosophila melanogaster), and enzymatic assays indeed confirmed that recombinant CG15111 has robust lyso-PS lipase activity. Flies serve as an excellent animal system to model various human neurological diseases, and the identification of CG15111 as a Drosophila melanogaster ABHD12 ortholog opens new avenues to study PHARC in fly models.

biochemistry↗

Transcriptomic meta-analysis in plaque psoriasis: an integrative bioinformatic approach to deciphering the genetic landscape and molecular pathways

Psoriasis is a chronic inflammatory skin disease influenced by both genetic and environmental factors. Despite extensive research, its precise etiology remains unclear, posing significant challenges to understanding and treatment. The disease pathogenesis involves self-reactive T cells and immune-related cytokines. Genome-wide association studies have identified various susceptibility loci for immune-related diseases, but the underlying mechanisms remain only partially understood. Recent discoveries of critical signaling pathways, biological processes, and immune cell involvement have expanded our knowledge and offer hope for improved therapeutic strategies. This study aimed to enhance our understanding of psoriasis and proposes novel therapeutic approaches by employing integrated bioinformatics to identify signaling pathways and biological processes as potential disease markers. Presenting a systematic review and taking a meta-analytical approach to transcriptomic profiles, this investigation examined differential gene expression patterns across 44 studies involving 975 samples comparing lesional psoriasis, non-lesional psoriasis, and healthy controls. Consensus transcriptome signatures revealed a significant association between immune-related genes and psoriasis pathogenesis. Functional enrichment analysis identified several enriched pathways related to immunity and immune system processes. Comparison of these findings with the existing literature indicated that some immune-related genes were already known, while others are novel in the context of psoriasis. Additionally, novel gene analysis demonstrated psoriasis involvement in pathways such as gluconeogenesis, the FoxO signaling pathway, and mitophagy. This integrative approach confirmed classic genetic associations while uncovering novel gene expression patterns and pathways relevant to psoriasis. Notably, the disruption of the gluconeogenesis pathway emerged as a critical finding. These insights enhance our understanding of psoriasis pathophysiology and pave the way for targeted therapies, offering improved management options for affected individuals.

molecular biology↗

The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CODIGO): building local capacity in genomics, bioinformatics, and precision medicine

The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CODIGO) aims to build a community of Colombian researchers in support of local capacity in genomics, bioinformatics, and precision health. Here, we present the first CODIGO data release and the consortium web platform, including annotations for more than 95 million genetic variants from 1,441 samples representing 14 populations from across the country. CODIGO samples show a wide range of African (16.7%), European (50.6%), and Indigenous American (32.8%) genetic ancestry components, with five distinct ancestry clusters. Thousands of ancestry-enriched variants, with divergent allele frequencies across clusters, show pharmacogenomic and clinical genetic associations. Examples include African ancestry-enriched variants associated with fast metabolism of the immunosuppressive drug tacrolimus and malaria resistance and European ancestry-enriched variants associated with nicotine dependence and hereditary hemochromatosis. CODIGO reveals the nexus between ancestry and health in Colombia and underscores the utility of collaborative genome sequence analysis efforts.

genomics↗

Isolation of Cyclotide Gene from Solanaceae Family and Its Bioinformatics Analysis

Cyclotides are highly tolerant of sequence variability, aside from the conserved residues forming the cystine knot. Cyclotides have attractive natural movement capabilities including cytotoxicity, harmfulness to HIV, antimicrobials, insecticides, uterine contraction and inhibition of proteases, making them very important in pharmacy and horticulture. The medicinal cyclotides may be able to reimburse the safety of antimicrobials, which is a noticeable problem worldwide today. The present study was focused on the isolation of genes that encoding cyclotide, from plant species. DNA was isolated by CTAB method. The gene was amplified by PCR and after agarose gel electrophoresis confirmation that gene was sequenced followed by bioinformatics analysis. Petunia showed 90% to 97% identity with cds of reference sequence and 27 amino acids were identical in multiple alignment of protein sequence. In addition to providing information for the future investigation of Solanaceae species for cyclotides, this work will aid in understanding the plant families that produce cyclotides.

genetics↗

Artificial Intelligence for Genomics and Bioinformatics: Is Africa Lagging Behind?

Africas diverse pathogen and human genetics present significant opportunities for genomic medicine research using artificial intelligence (AI). We surveyed 250 genomics researchers across 46 of the 55 African Union Member States to assess the state of AI use. The survey revealed that only 4% of respondents reported high familiarity with the application of AI for genomics and bioinformatics.

genomics↗

Bioinformatic process for the identification and characterization of bacterial repeat-in-toxin adhesins

Gram-negative bacteria attach to host surfaces using ligand-binding domains (LBDs) at the distal tips of fibrillar RTX adhesins. Blocking the initial binding interaction(s) can potentially prevent colonization and subsequent biofilm formation and infection. To this end, adhesins must be identified, and it is also essential to determine the dominant adhesin type for those species that have more than one. RTX adhesins are frequently the largest proteins within each species (ranging from 1500 to 15,000 aa) and are often misannotated as incomplete/pseudogene products because their highly repetitive nature confounds genome assemblies from short-read technologies. Our bioinformatic process collates predicted proteins from long-read assemblies, which are then clustered based on the similarity of their C-terminal regions where the LBDs are typically located. RTX adhesins are identified by their length and domain structure and are modelled using AlphaFold3. An exhaustive search of multiple strains from seven species revealed a total of 35 different RTX adhesins that map to 16 different loci, with differing arrangements of LBDs that include putative carbohydrate-binding modules and von Willebrand Factor A-like domains. Notably, similar adhesins are sometimes found in multiple species, either by descent or through DNA uptake, and three species have an RTX adhesin of uncertain function because it lacks an obvious LBD. ImportanceMany bacteria initiate infection by reaching out with large, complex proteins called adhesins to attach themselves to a host cell. The DNA sequences of adhesins are difficult to read, due to their length and repetitiveness. This study leverages recent technological advances like "long-read sequencing" and structural modelling to identify and characterize the adhesins in seven species of harmful bacteria: Acinetobacter baumannii, Aeromonas hydrophila, Aeromonas salmonicida, Bordetella parapertussis, Legionella pneumophila, Vibrio parahaemolyticus, and Vibrio vulnificus. We identified thirty-five unique versions of adhesins and demonstrated their mix-and-match architecture. This research provides a foundation for strategies to block bacteria from binding surfaces, offering a vital alternative treatment as antibiotic resistance continues to rise.

biochemistry↗

Bioinformatic analysis of placental exomiRs targeting the brain in preeclampsia

BackgroundPreeclampsia is a hypertensive disorder of pregnancy associated with systemic endothelial dysfunction and, in severe cases, maternal neurological complications. Placenta-derived exosomal microRNAs (exomiRs) mediate inter-organ communication and may contribute to neurovascular injury, but their role in maternal brain dysregulation remains unclear. MethodsWe performed systems-level bioinformatic analyses of 12 differentially expressed exomiRs (6 from early-onset and 6 from late-onset preeclampsia) to assess their potential impact on brain homeostasis. Target interactomes were examined for functional enrichment, subcellular localization, and network complexity. ExomiR targets were integrated with cerebrospinal fluid (CSF) proteomic profiles from preeclamptic women with neurological symptoms. We further evaluated regulation of blood-brain barrier (BBB) components and mapped spatial expression of target proteins across brain regions and cell types relevant to neurovascular function. ResultsEarly-and late-onset preeclampsia exomiRs displayed distinct interactomes and biological signatures. Early-onset exomiRs were linked to RNA metabolism, oxidative stress, and endothelial stability, whereas late-onset exomiRs were enriched in nitrogen metabolism and vesicle-mediated transport. Integration with CSF proteomics revealed convergence on dysregulated proteins, including MAPK8, RTN4, and YWHA family members, involved in inflammation, neurodegeneration, and axonal inhibition. Several exomiRs targeted BBB-related proteins (CLDN2, TJP1, EFNA5), suggesting coordinated barrier disruption. Spatial mapping localized these targets to endothelial cells, astrocytes, interneurons, and pyramidal neurons, implicating altered synaptic and glial regulation. ConclusionsPreeclampsia-associated exomiRs may impair maternal brain homeostasis through coordinated regulation of neurovascular, inflammatory, and synaptic pathways. These findings identify candidate molecular mediators of preeclampsia-related neurovascular dysfunction and potential biomarkers for maternal brain injury.

physiology↗

Bioinformatic analysis and experimental validation of ursolic acid's effects on Staphylococcus aureus-induced osteomyelitis

Osteomyelitis (OM), particularly methicillin-resistant Staphylococcus aureus (MRSA)-induced OM, remains a serious clinical challenge due to complex pathogenesis and rising antibiotic resistance. This study aimed to elucidate the therapeutic mechanism of ursolic acid (UA) against MRSA- induced OM using integrated network pharmacology, bioinformatics, and experimental validation. Through target prediction and multi-database mining, we identified 57 common targets of UA and OM. ML algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) and random forest, pinpointed three core genes: Neutrophil Elastase (ELANE), Lactoferrin (LTF), and S100A12. Enrichment analyses revealed significant involvement in neutrophil extracellular trap (NET) formation, inflammatory response, and immune regulation. Molecular docking and dynamics simulations confirmed stable binding between UA and ELANE. In vitro, UA exhibited antibacterial activity against clinical MRSA isolates (MIC = 16-64 g/mL) and showed synergistic effects with Penicillin (FICI = 0.125-0.5). These results demonstrate that UA combats OM through immunomodulation, anti-inflammatory actions, and direct antibacterial activity, providing a foundation for its use as an adjuvant therapy against MRSA-related OM.

microbiology↗

Integrated Bioinformatics analysis and Metabolomic Responses in finding novel therapeutic approach to treat viral myocarditis

BackgroundMyocarditis is one of the most common health problems in young people. Despite imaging techniques and endomyocardial biopsies advancing, there is still inadequate for myocarditis characterization. Some studies have shown that myocarditis is closely associated with mitochondrial dysfunction. Therefore, this study was aimed to identify mitochondrial-related biomarkers and gene regulatory networks in myocarditis and potential therapeutic targets. MethodsWe downloaded GSE95368 dataset from GEO to get myocarditis gene expression profiles, then used EdgeR and AI algorithm for bioinformatics analysis of DEGs functions. Established CVB3-induced mouse myocarditis model via intraperitoneal injection, and assessed energy metabolism differences using targeted metabolomics. CVB3 stimulus induced myocarditis in H9C2 cells. We assessed mitochondrial dysfunction (ATP, MMP) with commercial kits, MAPK8 release via ELISA, and MAPK8, p-PI3K, p-AKT levels by western blot. Furthermore, a total of 8 patients primarily diagnosed with myocarditis were enrolled, and levels of MAPK8 and CK in serum were detected. SP600125, an inhibitor of MAPK8, was administrated to CVB3-infected mice to study its potential protective effect in viral myocarditis. ResultsWe obtained 77 DEGs enriched in myocarditis. Analysis yielded 11 modules, MEpurple module genes linked to myocarditis progression were identified via WGCNA. MAPK8, NAMPT and ALB are associated with mitochondrial function. CVB3-infected mice showed cardiac inflammation and high MAPK8 expression in serum or heart tissues.The target metabolism results indicated altered central carbon metabolism distinguished CVB3 group from control, with higher D-Glucose-1-phosphate and D-Glucose-6-phosphate and lower L-Cystine, dCMP, IMP and Xylulose-5-phosphate levels. CVB3 treatment caused mitochondrial dysfunction in H9C2 cells (decreased ATP, MMP), and increased MAPK expression. Western blot showed MAPK8 consolidated the levels of p-PI3K and p-AKT. CK activity was notably higher in myocarditis patients than healthy individuals. MAPK8 levels in myocarditis patients serum also exceeded those in healthy individuals. Pearson analysis indicated that MAPK8 and CK may contribute to myocarditis progression via distinct mechanisms. In CVB3-infected mouse model with SP600125 treatment, cardiac inflammation and MAPK8, p-PI3k, p-AKT expression were reduced, confirming MAPK8s crucial role in viral myocarditis. ConclusionOur study identified MAPK8 as a key biomarker of myocarditis, and it may be a potential therapeutic target for myocarditis.

pathology↗

A comprehensive automated pipeline for human microbiome sampling, 16S rRNA gene sequencing and bioinformatics processing

The advent of affordable high-throughput DNA sequencing has opened up a golden age of studies in the human microbiome. In order to understand the role of the human microbiota, standardized methods for large-scale, population-level studies are needed to avoid underpowered or poorly designed studies. The biggest bottlenecks to population-level microbiomics are sample collection, storage and DNA extraction. Here, we describe a flexible automated approach to process intestinal biopsies, fecal samples and vaginal swabs from sample collection to OTU table. We have evaluated storage conditions, DNA extraction methods, PCR strategies and bioinformatic pipelines for these three sample types, and present here a set of guidelines and best practices for each of these steps.

microbiology↗