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MbnH is a diheme MauG-like protein associated with microbial copper homeostasis

Methanobactins (Mbns) are ribosomally-produced, post-translationally modified peptidic copper-binding natural products produced under conditions of copper limitation. Genes encoding Mbn biosynthetic and transport proteins have been identified in a wide variety of bacteria, indicating a broader role for Mbns in bacterial metal homeostasis. Many of the genes in the Mbn operons have been assigned functions, but two genes usually present, mbnP and mbnH, encode uncharacterized proteins predicted to reside in the periplasm. MbnH belongs to the bacterial diheme cytochrome c peroxidase (bCcP)/MauG protein family, and MbnP contains no domains of known function. Here, we performed a detailed bioinformatic analysis of both proteins and have biochemically characterized MbnH from Methylosinus (Ms.) trichosporium OB3b. We note that the mbnH and mbnP genes typically co-occur and are located proximal to genes associated with microbial copper homeostasis. Our bioinformatics analysis also revealed that the bCcP/MauG family is significantly more diverse than originally appreciated, and that MbnH is most closely related to the MauG subfamily. A 2.6 Å resolution structure of Ms. trichosporium OB3b MbnH combined with spectroscopic data and peroxidase activity assays provided evidence that MbnH indeed more closely resembles MauG than bCcPs, although its redox properties are significantly different from those of MauG. The overall similarity of MbnH to MauG suggests that MbnH could post-translationally modify a macromolecule, such as internalized CuMbn or its uncharacterized partner protein, MbnP. Our results indicate that MbnH is a MauG-like diheme protein that is likely involved in microbial copper homeostasis and represents a new family within the bCcP/MauG superfamily.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

Diazotroph Community Characterization via a High-Throughput nifH Amplicon Sequencing and Analysis Pipeline

The dinitrogenase reductase gene ( nifH ) is the most widely established molecular marker for the study of nitrogen-fixing prokaryotes in nature. A large number of PCR primer sets have been developed for nifH amplification, and the effective deployment of these approaches should be guided by a rapid, easy-to-use analysis protocol. Bioinformatic analysis of marker gene sequences also requires considerable expertise. In this study, we advance the state of the art for nifH analysis by evaluating nifH primer set performance, developing an improved amplicon sequencing workflow, and implementing a user-friendly bioinformatics pipeline. Furthermore, the developed amplicon sequencing workflow is a three-stage PCR-based approach that uses established technologies for incorporating sample-specific barcode sequences and sequencing adapters. Based on our primer evaluation, we recommend the Ando primer set be used with a modified annealing temperature of 58°C, as this approach captured the largest diversity of nifH templates, including paralog cluster IV/V sequences. To improve nifH sequence analysis, we developed a computational pipeline which infers taxonomy and optionally filters out paralog sequences. In addition, we employed an empirical model to derive optimal operational taxonomic unit (OTU) cutoffs for the nifH gene at the species, genus, and family levels. A comprehensive workflow script named TaxADivA (TAXonomy Assignment and DIVersity Assessment) is provided to ease processing and analysis of nifH amplicons. Our approach is then validated through characterization of diazotroph communities across environmental gradients in beach sands impacted by the Deepwater Horizon oil spill in the Gulf of Mexico, in a peat moss-dominated wetland, and in various plant compartments of a sugarcane field. IMPORTANCE: Nitrogen availability often limits ecosystem productivity, and nitrogen fixation, exclusive to prokaryotes, comprises a major source of nitrogen input that sustains food webs. The nifH gene, which codes for the iron protein of the nitrogenase enzyme, is the most widely established molecular marker for the study of nitrogen-fixing microorganisms (diazotrophs) in nature. In this study, a flexible sequencing/analysis pipeline, named TaxADivA, was developed for nifH amplicons produced by Illumina paired-end sequencing, and it enables an inference of taxonomy, performs clustering, and produces output in formats that may be used by programs that facilitate data exploration and analysis. Diazotroph diversity and community composition are linked to ecosystem functioning, and our results advance the phylogenetic characterization of diazotroph communities by providing empirically derived nifH similarity cutoffs for species, genus, and family levels. Thus, the utility of our pipeline is validated for diazotroph communities in a variety of ecosystems, including contaminated beach sands, peatland ecosystems, living plant tissues, and rhizosphere soil.

59 BASIC BIOLOGICAL SCIENCES↗

CyanoCyc cyanobacterial web portal

CyanoCyc is a web portal that integrates an exceptionally rich database collection of information about cyanobacterial genomes with an extensive suite of bioinformatics tools. It was developed to address the needs of the cyanobacterial research and biotechnology communities. The 277 annotated cyanobacterial genomes currently in CyanoCyc are supplemented with computational inferences including predicted metabolic pathways, operons, protein complexes, and orthologs; and with data imported from external databases, such as protein features and Gene Ontology (GO) terms imported from UniProt. Five of the genome databases have undergone manual curation with input from more than a dozen cyanobacteria experts to correct errors and integrate information from more than 1,765 published articles. CyanoCyc has bioinformatics tools that encompass genome, metabolic pathway and regulatory informatics; omics data analysis; and comparative analyses, including visualizations of multiple genomes aligned at orthologous genes, and comparisons of metabolic networks for multiple organisms. CyanoCyc is a high-quality, reliable knowledgebase that accelerates scientists’ work by enabling users to quickly find accurate information using its powerful set of search tools, to understand gene function through expert mini-reviews with citations, to acquire information quickly using its interactive visualization tools, and to inform better decision-making for fundamental and applied research.

59 BASIC BIOLOGICAL SCIENCES↗

Genomics for Everyone

Genomics — the genetic mapping and DNA sequencing of sets of genes or the complete genomes of organisms, along with related genome analysis and database work — is emerging as one of the transformative sciences of the 21st century. But current bioinformatics tools are not accessible to most biological researchers. Now, a new computational and web-based tool called EDGE Bioinformatics is working to fulfill the promise of democratizing genomics.

59 BASIC BIOLOGICAL SCIENCES↗

Metaproteomics: extracting and mining proteome information to characterize metabolic activities in microbial communities

Contemporary microbial ecology studies usually employ one or more omics approaches to investigate the structure and function of microbial communities. Among these, metaproteomics aims to characterize the metabolic activities of the microbial membership, providing a direct link between the genetic potential and functional metabolism. The successful deployment of metaproteomics research depends on the integration of high-quality experimental and bioinformatic techniques for uncovering the metabolic activities of a microbial community in a way that is complementary to other meta-omic approaches. The essential, quality-defining informatics steps in metaproteomics investigations are: (1) construction of the metagenome, (2) functional annotation of predicted protein-coding genes, (3) protein database searching, (4) protein inference, and (5) extraction of metabolic information. In this article, we provide an overview of current bioinformatic approaches and software implementations in metaproteome studies in order to highlight the key considerations needed for successful implementation of this powerful community-biology tool.

mass spectrometry↗

Plant iTRAQ-based proteomics

We present a simple one-­pot extraction protocol, which rapidly isolates hydrophyllic metabolites, lipids, and proteins from the same pulverized plant sample. Also detailed is a global plant proteomics sample preparation method utilizing iTRAQ multiplexing reagents that enables deep proteome coverage due to the use of HPLC fractionation of the peptides prior to mass spectrometric analysis. We have successfully used this protocol on several different plant tissues (e.g., roots, stems, leaves) from different plants (e.g., sorghum, poplar, Arabidopsis, soybean), and have been able to successfully detect and quantify thousands of proteins. Multiplexing strategies such as iTRAQ and the bioinformatics strategy outlined here, ultimately provide insight into which proteins are significantly changed in abundance between two or more groups (e.g., control, perturbation). Our bioinformatics strategy yields z-­score values, which normalize the expression data into a format that can easily be cross-­compared with other expression data (i.e., metabolomics, transcriptomics) obtained from different analytical methods and instrumentation.

60 APPLIED LIFE SCIENCES↗

Perimatrix of middle ear cholesteatoma: A granulation tissue with a specific transcriptomic signature

Objectives/Hypothesis: To establish comprehensive transcriptomic profiles of cholesteatoma perimatrix tissue and granulation tissue from chronic otitis media (COM) that did not develop cholesteatoma, which can indicate molecular pathways involved in the cholesteatoma perimatrix pathology and invasiveness. Study Design: Retrospective Case Series. Methods: Transcriptome data were obtained from cholesteatoma perimatrix tissue and COM granulation tissue by an Illumina iScan microarray. Differentially expressed genes (DEGs) were subsequently analyzed using both bioinformatical functional annotation and network analysis. Expression of candidate genes (MMP9 and LCN2) was validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) on a larger group of samples. Results: Analysis of the transcriptome led to the identification of 169 differentially expressed genes between investigated tissues. Bioinformatic analysis suggested that most significant biological processes involving DEGs were previously described in cholesteatoma pathology. Network analysis identified ERBB2, TFAP2A, and TP63 as major hubs of the DEGs molecular network. Furthermore, it was observed that the cellular component most significantly enriched in DEGs was extracellular space containing 47 DEGs. Using qRT-PCR, it was confirmed that mRNA levels of the major extracellular hub (MMP9) are increased, whereas its interacting molecule (LCN2) mRNA levels were decreased in cholesteatoma perimatrix tissue compared to COM granulation tissue. Conclusions: The current study approach offers an overall look at molecular mechanisms that describe the cholesteatoma entity by focusing exclusively on the perimatrix processes in comparison to COM granulation tissue. The observed differences in gene expression between cholesteatoma perimatrix and COM granulation tissue could suggest novel markers potentially influenced by the perimatrix–matrix molecular interplay, which is not present in COM without cholesteatoma. Level of Evidence: NA. Laryngoscope, 130:E220–E227, 2020. © 2019 The American Laryngological, Rhinological and Otological Society, Inc.

60 APPLIED LIFE SCIENCES↗

Prosaposin is a biomarker of mesenchymal glioblastoma and regulates mesenchymal transition through the TGF‐β1/Smad signaling pathway

Abstract Mesenchymal glioblastoma (GBM) is the most aggressive subtype of GBM. Our previous study found that neurotrophic factor prosaposin (PSAP) is highly expressed and secreted in glioma and can promote the growth of glioma. The role of PSAP in mesenchymal GBM is still unclear. In this study, bioinformatic analysis, western blotting and RT‐qPCR were used to detect the expression of PSAP in different GBM subtypes. Human glioma cell lines and patient‐derived glioma stem cells were studied in vitro and in vivo , revealing that mesenchymal GBM expressed and secreted the highest level of PSAP among four subtypes of GBM, and PSAP could promote GBM invasion and epithelial–mesenchymal transition (EMT)‐like processes in vivo and in vitro . Bioinformatic analysis and western blotting showed that PSAP mainly played a regulatory role in GBM invasion and EMT‐like processes via the TGF‐β1/Smad signaling pathway. In conclusion, the overexpression and secretion of PSAP may be an important factor causing the high invasiveness of mesenchymal GBM. PSAP is therefore a potential target for the treatment of mesenchymal GBM. © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd

Jiang, Yang↗

Specificity determinants revealed by the structure of glycosyltransferase Campylobacter concisus PglA

Abstract In selected Campylobacter species, the biosynthesis of N‐linked glycoconjugates via the pgl pathway is essential for pathogenicity and survival. However, most of the membrane‐associated GT‐B fold glycosyltransferases responsible for diversifying glycans in this pathway have not been structurally characterized which hinders the understanding of the structural factors that govern substrate specificity and prediction of resulting glycan composition. Herein, we report the 1.8 Å resolution structure of Campylobacter concisus PglA, the glycosyltransferase responsible for the transfer of N ‐acetylgalatosamine (GalNAc) from uridine 5′‐diphospho‐ N ‐acetylgalactosamine (UDP‐GalNAc) to undecaprenyl‐diphospho‐ N , N ′‐diacetylbacillosamine (UndPP‐diNAcBac) in complex with the sugar donor GalNAc. This study identifies distinguishing characteristics that set PglA apart within the GT4 enzyme family. Computational docking of the structure in the membrane in comparison to homologs points to differences in interactions with the membrane‐embedded acceptor and the structural analysis of the complex together with bioinformatics and site‐directed mutagenesis identifies donor sugar binding motifs. Notably, E113, conserved solely among PglA enzymes, forms a hydrogen bond with the GalNAc C6″‐OH. Mutagenesis of E113 reveals activity consistent with this role in substrate binding, rather than stabilization of the oxocarbenium ion transition state, a function sometimes ascribed to the corresponding residue in GT4 homologs. The bioinformatic analyses reveal a substrate‐specificity motif, showing that Pro281 in a substrate binding loop of PglA directs configurational preference for GalNAc over GlcNAc. This proline is replaced by a conformationally flexible glycine, even in distant homologs, which favor substrates with the same stereochemistry at C4, such as glucose. The signature loop is conserved across all Campylobacter PglA enzymes, emphasizing its importance in substrate specificity.

Vuksanovic, Nemanja↗

MicroRNA expression profiling provides novel insights into immune-related pathways involved in gastric cancer

Gastric cancer is one of the most common cancers, and an increasing number of studies have found that microRNAs (miRNAs) play essential roles in gastric cancer progression; however, the roles of specific miRNAs involved in the immune response to this disease remain unclear. We compared the miRNA expression in tissues from primary gastric cancer patients and healthy controls to find miRNAs dysregulated in gastric cancer and used bioinformatics tools to determine potential roles of these miRNAs in the immune system. We evaluated 25 primary gastric cancer tissues and five healthy gastric tissues. Quantitative real-time polymerase chain reaction was performed for a set of miRNAs, followed by the prediction of their target genes and functional enrichment analysis of these targets. Analysis of a microarray dataset showed that the miRNA miR-196a-5p was significantly upregulated, while miR-374a-5p and miR-375 were downregulated in gastric cancer patients. In addition, miR-374-5p was significantly downregulated in patients with metastasis compared with its expression levels in non-metastatic patients (p = 0.03). Bioinformatics analysis suggested that the pathways regulated by these differentially expressed miRNAs were related to the immune response, cell adhesion, and cell migration. Most importantly, this study provides a new insight into the potential use of multiple miRNAs to find distinct pathways of immune regulation in gastric cancer.

62 RADIOLOGY AND NUCLEAR MEDICINE↗

MiR-107 suppresses proliferation of hepatoma cells through targeting HMGA2 mRNA 3′UTR

Background and aim: Aberrant expression of miR-107 is involved in the development of several human cancers. However, the role of miR-107 in hepatocellular carcinoma (HCC) is not well documented. In the present study, we aim to explore the function of miR-107 in hepatocarcinogenesis. Methods: Bioinformatics analysis was applied to predict the target genes of miR-107. Luciferase reporter gene assay was performed to verify the miR-107 binding sites in 3′-untranslated region (3′UTR) of high mobility group A2 (HMGA2) mRNA. The expression levels of mRNA and protein were examined using qRT-PCR and Western blot analysis. Functionally, MTT and EdU assays were carried out for proliferation analysis. Clinically, thirty HCC samples and their corresponding peritumor liver tissues were collected. Results: Bioinformatics analysis revealed that miR-107 might target HMGA2 mRNA 3′UTR. Luciferase reporter gene assays verified that the miR-107 binding site was located in the 3′UTR of HMGA2 mRNA. Furthermore, miR-107 could down-regulate HMGA2 at the levels of mRNA and protein in a dose-dependent manner. Interestingly, miR-107 inhibited the proliferation of hepatoma cells, while anti-miR-107 could promote the cell proliferation, which was blocked by the interference of HMGA2. Clinically, miR-107 was lower in HCC samples relative to peritumor liver tissues. The expression levels of miR-107 were negatively correlated with those of HMGA2 mRNA in HCC samples. Conclusion: MiR-107 suppresses the proliferation of hepatoma cells by targeting HMGA2 mRNA. Our finding provides new insights into the mechanism of hepatocarcinogenesis. - Highlights: • HMGA2 is a novel target gene of miR-107. • MiR-107 suppresses the proliferation of HCC cells through targeting HMGA2 mRNA. • MiR-107 is decreased in clinical HCC tissues. • MiR-107 is negatively correlated with HMGA2 in clinical HCC tissues.

60 APPLIED LIFE SCIENCES↗

Deletion of the transcriptional coactivator PGC1α in skeletal muscles is associated with reduced expression of genes related to oxidative muscle function

The expression of the transcriptional coactivator PGC1α is increased in skeletal muscles during exercise. Previously, we showed that increased PGC1α leads to prolonged exercise performance (the duration for which running can be continued) and, at the same time, increases the expression of branched-chain amino acid (BCAA) metabolism-related enzymes and genes that are involved in supplying substrates for the TCA cycle. We recently created mice with PGC1α knockout specifically in the skeletal muscles (PGC1α KO mice), which show decreased mitochondrial content. In this study, global gene expression (microarray) analysis was performed in the skeletal muscles of PGC1α KO mice compared with that of wild-type control mice. As a result, decreased expression of genes involved in the TCA cycle, oxidative phosphorylation, and BCAA metabolism were observed. Compared with previously obtained microarray data on PGC1α-overexpressing transgenic mice, each gene showed the completely opposite direction of expression change. Bioinformatic analysis of the promoter region of genes with decreased expression in PGC1α KO mice predicted the involvement of several transcription factors, including a nuclear receptor, ERR, in their regulation. As PGC1α KO microarray data in this study show opposing findings to the PGC1α transgenic data, a loss-of-function experiment, as well as a gain-of-function experiment, revealed PGC1α’s function in the oxidative energy metabolism of skeletal muscles. - Highlights: • Microarray analysis was performed in the skeletal muscle of PGC1α KO mice. • Expression of genes in the oxidative energy metabolism was decreased. • Bioinformatic analysis of promoter region of the genes predicted involvement of ERR. • PGC1α KO microarray data in this study show the mirror image of transgenic data.

60 APPLIED LIFE SCIENCES↗

Antimicrobial activity and mechanism of the human milk-sourced peptide Casein201

Introduction: Casein201 is one of the human milk sourced peptides that differed significantly in preterm and full-term mothers. This study is designed to demonstrate the biological characteristics, antibacterial activity and mechanisms of Casein201 against common pathogens in neonatal infection. Methodology: The analysis of biological characteristics was done by bioinformatics. Disk diffusion method and flow cytometry were used to detect the antimicrobial activity of Casein201. Killing kinetics of Casein201 was measured using microplate reader. The antimicrobial mechanism of Casein201 was studied by electron microscopy and electrophoresis. Results: Bioinformatics analysis indicates that Casein201 derived from β-casein and showed significant sequence overlap. Antibacterial assays showed Casein201 inhibited the growth of S taphylococcus aureus and Y ersinia enterocolitica. Ultrastructural analyses revealed that the antibacterial activity of Casein201 is through cytoplasmic structures disintegration and bacterial cell envelope alterations but not combination with DNA. Conclusion: We conclude the antimicrobial activity and mechanism of Casein201. Our data demonstrate that Casein201 has potential therapeutic value for the prevention and treatment of pathogens in neonatal infection.

60 APPLIED LIFE SCIENCES↗

Long non-coding RNA LUCAT1 modulates methotrexate resistance in osteosarcoma via miR-200c/ABCB1 axis

Highlights: • LncRNA LUCAT1 and ABCB1 protein are both up-regulated in osteosarcoma methotrexate-resistant cells. • LncRNA LUCAT1 knockdown suppress the expression levels drug resistance related genes, proliferation, invasion and tumor growth of osteosarcoma cells in vitro and vivo. • Bioinformatics predictive tools and luciferase assay reveal the LUCAT1/miR-200c/ABCB1 pathway. • Rescue experiments confirm the combined role of LUCAT1, miR-200c and ABCB1 on osteosarcoma methotrexate resistance. Long non-coding RNAs (lncRNAs) have been verified to participate in the tumorigenesis of multiple cancers. Nevertheless, the deepgoing role molecular mechanisms of lncRNAs on osteosarcoma chemoresistance remain unclear. In present study, we investigate the function of lncRNA LUCAT1 on osteosarcoma methotrexate (MTX) resistant phenotype and discover the potential regulatory mechanism. Results showed that LUCAT1 was up-regulated in MTX-resistant cells (MG63/MTX, HOS/MTX) compared to that in parental cells. LncRNA LUCAT1 and ABCB1 protein expression levels were both up-regulated when induced by different concentration of methotrexate. In vitro and vivo, LUCAT1 knockdown decreased the expression levels drug resistance related genes (MDR1, MRP5, LRP1), proliferation, invasion and tumor growth of osteosarcoma cells. Bioinformatics tools and luciferase assay reveled that miR-200c both targeted the 3′-UTR of LUCAT1 and ABCB1 mRNA, suggesting the modulation of LUCAT1 on ABCB1 through sponging miR-200c. Rescue experiments confirmed the combined role of LUCAT1, miR-200c and ABCB1 on osteosarcoma proliferation, invasion and methotrexate resistance. Overall, results indicate the vital role of LUCAT1 in the methotrexate resistance regulation through miR-200c/ABCB1 pathway, providing a novel insight and treatment strategy for osteosarcoma drug resistance.

60 APPLIED LIFE SCIENCES↗

Identification and characterization of human bone-derived cells

Highlights: • In non-osteogenic condition, BdCs are more correlated to MSCs than FOBs in bioinformatics result. • BdCs sustained not only high ALP, OPN and osterix expression, but differentiated to mature osteoblast. • In osteogenic condition, BdCs are similar with FOBs than MSCs in physiological changes results. • We suggest BdCs are osteoprogenitor cells or undifferentiated preosteoblasts. This study was designed to identify and characterize primary bone-derived cells (BdCs) and investigate the potential role of osteoblast differentiation. Primary BdCs were isolated from surgical bone for comparative analysis with mesenchymal stem cells (MSCs) and fetal osteoblasts (FOBs) and for potential differentiation to mature osteoblasts. Using three different cells, we successfully cultivated human osteoblast differentiation and activity which were evaluated using microarray and biochemical methods. BdCs are more correlated to MSCs in bioinformatics result and similar with FOBs in gene expression. In particular, Osterix, osteoprogenitor marker, was high expressed in BdCs, while the expression in MSCs and FOBs were very low. Furthermore, BdCs exhibited a marked alkaline phosphatase (ALP) expression, early stage of osteogenic marker, and retained osteogenic properties and physiological changes into maturation as in FOBs. BdCs also showed an increase in bone morphogenic protein 2 (BMP2), osteopontin (OPN), and osteocalcin (OCN) mRNA expressions during differentiation. This study suggests that BdCs may be osteoprogenitor cells or undifferentiated preosteoblasts with strong capacity to differentiate toward mature osteoblasts.

60 APPLIED LIFE SCIENCES↗

The lncRNA TUG1/miR-145-5p/FGF10 regulates proliferation and migration in VSMCs of hypertension

Vascular remodeling is a characteristic pathological feature of hypertension, it can cause of increasing vascular resistance and decrease of compliance. Vascular smooth muscle cell (VSMCs) dysfunction is the important foundation of vascular remodeling. Increasing evidences have revealed that lncRNA is an important regulatory factor of VSMC function. In this paper, we explored the function of lncRNA TUG1 in vascular remodeling of hypertension. Here, we found that lncRNA TUG1 was highly expressed in aorta of spontaneously hypertensive rats (SHR) rats and promoted the proliferation and migration of VSMCs (SHR-VSMCs). Bioinformatics analyze showed that lncRNA TUG1 sequence had miR-145-5p binding sites. Luciferase reporter test, RNA pulldown and qRT-PCR showed that lncRNA TUG1 could bind miR-145-5p. Similarly, bioinformatics analyze found that FGF10 3 ′UTR contained miR-145-5p binding sites. Luciferase reporter test, qRT-PCR and Western blot were shown that miR-145-5p inhibited FGF10 expression by binding to its 3 ′UTR. MTT showed that miR-145-5p inhibited and FGF10 promoted SHR-VMSCs proliferation and migration. Overexpression of miR-145-5p or knocking down of FGF10 after overexpresion of lncRNA TUG1 could rescue the proliferation and migration promoted by lncRNA TUG1. LncRNA TUG1 and FGF10 promoted and miR-145-5p suppressed the expression of β-catenin, TCF and LEF in SHR-VSMCs. Therefore, lncRNA TUG1/miR-145-5p/FGF10 promotes the proliferation and migration of VSMCs in hypertensive state by activating the Wnt/β-catenin pathway.

60 APPLIED LIFE SCIENCES↗

Expression profile analysis of differentially expressed genes in ruptured intracranial aneurysms: In search of biomarkers

Highlights: • Bioinformatics can identify potential biomarkers of ruptured intracranial aneurysm. • BASP1, CD74, CEBPB, ECHDC2, GZMK, HLA-DRB3, KLHL3, SLC2A3 & SOCS3 affect IA rupture. • DEGs are involved in antigen processing and presentation and immune response. • Vascular brain injury affects gene expression in IA tissue. Intracranial aneurysms (IAs) result from the bulging of arterial walls secondary to several factors such as flow, vessel morphology, and genetics. Subarachnoid hemorrhage occurs when such walls rupture, leading to high disability and mortality. Despite numerous investigations pertaining to the relationship between geometric characteristics and IA rupture, only a few have obtained consistent results. This study aimed to further identify the potential genes associated with the pathogenesis of IAs, which may provide novel molecular biomarkers. We downloaded and reanalyzed six datasets, which were divided into four groups. IA walls and blood samples were screened for differentially expressed genes (DEGs); then, functional and pathway enrichment analyses were conducted. In total, 158 common DEGs were identified from Groups 1–3 and 396 genes (187 upregulated and 209 downregulated genes) were differentially expressed in Group 4. The functional analysis revealed that the DEGs were mainly associated with the major histocompatibility complex class II protein complex and antigen processing and presentation. Finally, we identified nine key genes, both in aneurysm tissue samples and blood samples, of which three were mostly associated with the progression and rupture of IAs. Bioinformatics was used to analyze the datasets of the ruptured IAs and identify potential biomarkers, which may provide information for the early detection and treatment of IAs.

60 APPLIED LIFE SCIENCES↗

Extracting data from the muck: deriving biological insight from complex microbial communities and non-model organisms with next generation sequencing

It is becoming increasingly clear that microbes within microbial communities, for which cultured isolates have not yet been obtained, have an immense, untapped reservoir of enzymes that could help address grand challenges in human health, energy, and sustainability. Despite the obstacles associated with culturing these microbes, recent advances in next-generation sequencing (NGS) have made it possible to explore complex microbial communities in their native context for the first time. Key to extracting meaning from rapidly growing NGS datasets are bioinformatics tools that assemble the sequence data, annotate homologous sequences and interrogate it to reveal regulatory patterns. Complementing this are advances in proteomics that can link NGS data to biological function. Finally, this combination of next generation sequencing, proteomics and bioinformatic analysis forms a powerful tool to study non-model microbes, which will transform what we know about these dynamic systems.

59 BASIC BIOLOGICAL SCIENCES↗