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bioRxiv2023

Genome-Wide Exploration of the Opportunistic Providencia stuartii Unveils the Novel Genetic Interactions with the Virulence Gene of Diarrheal Pathogens

Diarrhea typically indicates an intestinal disorder, which can occur from viruses, parasites or bacterial infection. Along with the common diarrhea-causing pathogens, opportunistic bacteria may also play a role in the etiology of diarrheal disease. One of the opportunists bacteria that can cause diarrhea in both children and adults is Providencia stuartii. Therefore, the goal of this study is to explore the genetic mechanism of the opportunistic P. stuartii in microbial interactions with common diarrheal pathogens. Hence, P. stuartii was identified by utilizing the morphological observation and molecular techniques. Afterwards, the entire genome of P. stuartii was sequenced, assembled and annotated to explore the genomic insights. In addition, the virulence genes of 100 whole genome sequences from ten prevalent diarrhea-causing bacteria were identified and prioritized. Finally, the system biology approach was used to predict the protein-protein interaction network between P. stuartii and the virulence genes. The results of the present study suggests that complete genome sequencing of this bacteria contains 4011 proteins, which are crucial for this bacterium to survive. Additionally, 16 gene clusters provide 207 interacting genes that could interact with biological and molecular function, subcellular localization and pathway. The microbial interaction accompanying the virulence gene was found in all 10 diarrhea-causing bacteria except Clostridium difficile. These findings of this study could aid in the exploration of Providencia stuartii as the major causative agent of diarrhea. Additionally, the pathophysiology of diarrhea can be investigated using the microbial interactions between P. stuartii and the typical diarrheal bacteria. The results of this study may therefore be used to determine the most effective therapeutic targets for the development of medications to treat diarrhea.

genomics↗

bioRxiv2018

AmyCo: the Amyloidoses Collection

AmyCo: the Amyloidoses CollectionAmyloid fibrils are formed when soluble proteins misfold into highly ordered insoluble fibrillar aggregates and affect various organs and tissues. The deposition of amyloid fibrils is the main hallmark of a group of disorders, called amyloidoses. Curiously, fibril deposition has been also recorded as a complication in a number of other pathological conditions, including well-known neurodegenerative or endocrine diseases. To date, amyloidoses are roughly classified, owing to their tremendous heterogeneity. In this work, we introduce AmyCo, a freely available collection of amyloidoses and clinical disorders related to amyloid deposition. AmyCo classifies 74 diseases associated with amyloid deposition into two distinct categories, namely 1) amyloidosis and 2) clinical conditions associated with amyloidosis. Each database entry is annotated with the major protein component (causative protein), other components of amyloid deposits and affected tissues or organs. Database entries are also supplemented with appropriate detailed annotation and are referenced to ICD-10, MeSH, OMIM, PubMed, AmyPro and UniProtKB databases. To our knowledge, AmyCo is the largest repository containing information about amyloidoses and diseases related to amyloid deposition. The AmyCo web interface is available at http://bioinformatics.biol.uoa.gr/amyco.\n\nKaterina C. Nastou is a Ph.D. student in Bioinformatics, at the Department of Biology of the National and Kapodistrian University of Athens. She is currently working on computational analysis of membrane and amyloidogenic proteins as part of her Ph.D. thesis. Her research focuses on the study of protein-protein interactions and the visualization and analysis of biological networks for these protein families, on the computational prediction of protein structure and function and the design and development of biological databases.\n\nGeorgia I. Nasi is a Ph.D. student in Biophysics, at the Department of Biology of the National and Kapodistrian University of Athens and a second year student in the Bioinformatics Masters Program, at the same department. She is currently conducting her Masters thesis on the computational analysis and visualization of the interaction network of amyloidoses and proteins associated with these disorders. Her research for her Ph.D. focuses on biophysical and computational analysis of amyloidogenic proteins and peptide-analogues associated with amyloidoses.\n\nDr. Paraskevi L. Tsiolaki is a Biologist with an MSc in Bioinformatics and a PhD in Molecular Biophysics. She is currently working as a postdoctoral fellow in Dr V. Iconomidous group, Assist. Prof. at the National and Kapodistrian University of Athens and her research interests focus on Molecular Biophysics and Structural Biology. Her current research efforts have been directed towards identifying the structural characteristics that underlie the self-assembly mechanisms,governing amyloidogenicity. More specifically she works on the structure and self-assembly of different amyloidogenic proteins or amyloidogenic peptide-analogues, implicated with amyloidoses, utilizing biophysical and biochemical techniques. She is also working on the computational and structural analysis of the anomalous type of protein-protein interactions in protein aggregation, with particular focus on the development of novel therapeutic intervention strategies.\n\nDr.Zoi Litou works as a Special Laboratory Teaching Staff in \"Bioinformatics-Biophysics\" at the Section of Cell Biology and Biophysics, Department of Biology, National &Kapodistrian University of Athens. She has a PhD in Bioinformatics. She is currently working on computational analysis of membrane proteins focusing on the automated recognition and classification of single-spanning membrane proteins, CWPs, GPCRs and Ion channels. Biological Network Analysis, Prediction algorithms, Algorithm Visualization techniques in Bioinformatics, High throughput sequencing analysis and visualization, Clustering Analysis, Knowledge discovery, management and representation, Data integration, Chemoinformatics, Pharmacogenomics, Text Mining in Bioinformatics, Personalized Medicine, Parallel programming.\n\nDr. Vassiliki A. Iconomidou is an Assistant Professor of Structural Biology/Molecular Biophysics and a group leader of Biophysics and Bioinformatics Lab at the Department of Biology of the National and Kapodistrian University of Athens. Her research interests include: 1) Structural and self-assembly studies of fibrous proteins, which form extracellular, proteinaceous structures of physiological importance like lepidopteran, dipteran and fish chorions and arthropod cuticle, 2) Structural and self-assembly studies of silkmoth chorion peptide-analogues as novel self-assembled polymers with amyloid properties, aiming at the construction of novel biomaterials with extraordinary physical properties, 3) Experimental studiesof the role of a great variety of amyloidogenic ( aggregation-prone) peptides, predicted by our AMYLPRED prediction algorithm, in several widespread and also rare pathological amyloidoses. She had been visiting European Molecular Biology Laboratory (EMBL Heidelberg) for more than ten years, conducting research on molecular self-assembly focusing especially on functional, protective and pathological amyloids and amyloidoses, and she was there when she published the first article on natural protective amyloids. She is the author of 41 publications and 6 book chapters which focus mostly on functional and pathological amyloid studies.

bioinformatics↗

bioRxiv2023

Single-molecule FRET and molecular dynamics simulations reveal early activation steps of MET receptor by Listeria monocytogenes

The assembly of membrane receptors into signaling complexes is at the origin of key cellular events. Yet, we often lack detailed structural mechanistic understanding. Receptors are embedded into a complex cellular membrane, which defines their dynamics but also complicates their experimental characterizations significantly. Here, we showcase an integrative structural biology approach to investigate the activation mechanism of the human growth factor receptor MET. MET is a receptor tyrosine kinase involved in cell proliferation, migration, and survival. MET is also hijacked by the intracellular pathogen Listeria monocytogenes. Its invasion protein, internalin B (InlB), binds to MET and promotes the formation of a signaling dimer that triggers the internalization of the pathogen. Crystallography had suggested two different 2:2 MET:InlB complexes. Here, we use a combination of structural biology, modeling, molecular dynamics simulations, and in situ single-molecule Forster resonance energy transfer (smFRET) to elucidate the early events in MET activation. Simulations show that InlB binding stabilizes MET in a conformation that promotes dimer formation. smFRET identifies the organization of the in situ signaling dimer, which resembles one of the two crystal structures yet shows differences. Further MD simulations resulted in a refinement of the dimer model, which is in quantitative agreement with smFRET results. We accurately describe the structural dynamics underpinning an important cellular event and introduce a powerful methodological pipeline applicable to studying the activation of other plasma membrane receptors in situ.

biophysics↗

bioRxiv2020

Transcriptome analysis of alternative splicing-coupled nonsense-mediated mRNA decay in human cells reveals broad regulatory potential

To explore the regulatory potential of nonsense-mediated mRNA decay (NMD) coupled with alternative splicing, we globally surveyed the transcripts targeted by this pathway via RNA-Seq analysis of HeLa cells in which NMD had been inhibited. We identified putative NMD-targeted transcripts as those with a termination codon more than 50 nucleotides upstream of an exon-exon junction (premature termination as defined by the ‘50nt rule’) and that significantly increased in abundance upon NMD inhibition. We additionally controlled for potential transcriptional up-regulation by requiring the putative NMD targets to increase in abundance substantially more than the isoforms from the same gene that do not contain a premature termination codon. This resulted in a conservative set of 2,793 transcripts derived from 2,116 genes as physiological NMD targets (9.2% of expressed transcripts and >20% of alternatively spliced genes). Our analysis identified previously inferred unproductive isoforms and numerous heretofore-uncharacterized ones. NMD-targeted transcripts were derived from genes involved in many functional categories, and are particularly enriched for RNA splicing genes as well as for those harboring ultraconserved elements. By investigating the features of all transcripts impacted by NMD, we find that the 50nt rule is a strong predictor of NMD degradation while 3’ UTR length on its own generally has only a small effect in this human cell line. Additionally, thousands more transcripts without a premature termination codon in the main coding sequence contain a uORF and display significantly increased abundance upon NMD inhibition indicating potentially widespread regulation through decay coupled with uORF translation. Our results support that alternative splicing coupled with NMD is a prevalent post-transcriptional mechanism in human cells with broad potential for biological regulation.Competing Interest StatementThe authors have declared no competing interest.View Full Text

molecular biology↗

bioRxiv2021

Nanopore sequencing reveals endogenous NMD-targeted isoforms in human cells

BackgroundNonsense-mediated mRNA decay (NMD) is a eukaryotic, translation-dependent degradation pathway that targets mRNAs with premature termination codons and also regulates the expression of some mRNAs that encode full-length proteins. Although many genes express NMD-sensitive transcripts, identifying them based on short-read sequencing data remains a challenge. ResultsTo identify and analyze endogenous targets of NMD, we applied cDNA Nanopore sequencing and short-read sequencing to human cells with varying expression levels of NMD factors. Our approach detects full-length NMD substrates that are highly unstable and increase in levels or even only appear when NMD is inhibited. Among the many new NMD-targeted isoforms that our analysis identified, most derive from alternative exon usage. The isoform-aware analysis revealed many genes with significant changes in splicing but no significant changes in overall expression levels upon NMD knockdown. NMD-sensitive mRNAs have more exons in the 3'UTR and, for those mRNAs with a termination codon in the last exon, the length of the 3'UTR per se does not correlate with NMD sensitivity. Analysis of splicing signals reveals isoforms where NMD has been co-opted in the regulation of gene expression, though the main function of NMD seems to be ridding the transcriptome of isoforms resulting from spurious splicing events. ConclusionsLong-read sequencing enabled the identification of many novel NMD-sensitive mRNAs and revealed both known and unexpected features concerning their biogenesis and their biological role. Our data provide a highly valuable resource of human NMD transcript targets for future genomic and transcriptomic applications.

molecular biology↗

bioRxiv2021

An Atypical RNA Quadruplex Marks RNAs as Vectors for Gene Silencing

The addition of poly(UG) ("pUG") repeats to 3' termini of mRNAs drives gene silencing and trans-generational epigenetic inheritance in the metazoan C. elegans.1 pUG tails promote silencing by recruiting an RNA-dependent RNA Polymerase (RdRP) that synthesizes small interfering (si)RNAs.1 Here we show that active pUG tails require a minimum of 11.5 repeats and adopt a quadruplex (G4)2 structure we term the pUG fold. The pUG fold differs from known G4s in that it has a left-handed backbone similar to Z-RNA3,4, no consecutive guanosines in its sequence, and three G quartets and one U quartet stacked non-sequentially. Its biological importance is emphasized by our observations that porphyrin molecules bind to the pUG fold and inhibit both gene silencing and binding of RdRP. Moreover, specific N7-deaza RNA substitutions that do not adopt the pUG fold neither bind RdRP nor induce RNA silencing. These data define the pUG fold as a previously unrecognized RNA secondary structure motif that drives gene silencing. The pUG fold can also form internally within larger RNA molecules. Approximately 20,000 pUG-fold sequences are found in non-coding regions of human RNAs, suggesting the fold likely has biological roles beyond gene silencing.

molecular biology↗

bioRxiv2023

Inverse-folding design of yeast telomerase RNA increases activity in vitro

Saccharomyces cerevisiae telomerase RNA, TLC1, is an 1157 nt non-coding RNA that functions as both a template for DNA synthesis and a flexible scaffold for telomerase RNP holoenzyme protein subunits. The tractable budding yeast system has provided landmark discoveries about telomere biology in vivo, but yeast telomerase research has been hampered by the fact that the large TLC1 RNA subunit does not support robust telomerase activity in vitro. In contrast, 155-500 nt miniaturized TLC1 alleles comprising the catalytic core domain and lacking the RNAs long arms do reconstitute robust activity. We hypothesized that full-length TLC1 is prone to misfolding in vitro. To create a full-length yeast telomerase RNA predicted to fold into its biological relevant structure, we took an inverse RNA folding approach, changing 59 nucleotides predicted to increase the energetic favorability of folding into the modeled native structure based on the p-num feature of Mfold software. The sequence changes lowered the predicted {triangleup}G in this "determined-arm" allele, DA-TLC1, by 61 kcal/mol (-19%) compared to wild type. We tested DA-TLC1 for reconstituted activity and found it to be [~]5-fold more robust than wild-type TLC1, suggesting that the inverse-folding design indeed improved folding in vitro into a catalytically active conformation. We also tested if DA-TLC1 functions in vivo and found that it complements a tlc1{triangleup} strain, allowing cells to avoid senescence and maintain telomeres of nearly wild-type length. However, all inverse-designed RNAs that we tested had reduced abundance in vivo. In particular, inverse-designing nearly all of the Ku arm caused a profound reduction in telomerase RNA abundance in the cell and very short telomeres. Overall, these results show that inverse design of S. cerevisiae telomerase RNA increases activity in vitro, while reducing abundance in vivo. This study provides a biochemically and biologically tested approach to inverse-design RNAs using Mfold that could be useful for controlling RNA structure in basic research and biomedicine.

molecular biology↗

bioRxiv2023

The widespread influence of ZSWIM8 on microRNAs during mouse embryonic development

MicroRNAs (miRNAs) pair to sites in mRNAs to direct the degradation of these RNA transcripts. Conversely, certain RNA transcripts can direct the degradation of particular miRNAs. This target-directed miRNA degradation (TDMD) requires the ZSWIM8 E3 ubiquitin ligase. Here, we report the function of ZSWIM8 in the mouse embryo. Zswim8-/- embryos were smaller than their littermates and died near the time of birth. This highly penetrant perinatal lethality was apparently caused by a lung sacculation defect attributed to failed maturation of alveolar epithelial cells. Some mutant individuals also had heart ventricular septal defects. These developmental abnormalities were accompanied by aberrant accumulation of >50 miRNAs observed across 12 tissues, which often led to enhanced repression of their mRNA targets. These ZSWIM8-sensitive miRNAs were preferentially produced from genomic miRNA clusters, and in some cases, ZSWIM8 caused a switch in the dominant strand that accumulated from a miRNA hairpin--observations suggesting that TDMD provides a mechanism to uncouple co-produced miRNAs from each other. Overall, our findings indicate that the regulatory influence of TDMD in mammalian biology is widespread and posit the existence of many yet-unidentified transcripts that trigger miRNA degradation.

molecular biology↗

bioRxiv2023

Increasing Signal Intensity of Fluorescent Oligo-Labeled Antibodies

Full-spectrum flow cytometry has increased antibody-based multiplexing, yet further increases remain potentially impactful. We recently proposed how fluorescence Multiplexing using Spectral Imaging and Combinatorics (MuSIC) could do so using tandem dyes and an oligo-based antibody labeling method. In this work, we found that such labeled antibodies had significantly lower signal intensity than conventionally-labeled antibodies in human cell experiments. To improve signal intensity, we tested moving the fluorophores from the original external (ext.) 5 or 3 end-labeled orientation to internal (int.) fluorophore modifications. Cell-free spectrophotometer measurements showed a [~]6-fold signal intensity increase of the new int. configuration compared to the previous ext. configuration. Time-resolved fluorescence and fluorescence correlation spectroscopy showed that [~]3-fold brightness difference is due to static quenching most likely by the oligo or solution in the ext. configuration. Spectral flow cytometry experiments using peripheral blood mononuclear cells show int. MuSIC probe-labeled antibodies (i) retained increased signal intensity while having no significant difference in the estimated % of CD8+ lymphocytes and (ii) labeled with Atto488, Atto647, and Atto488/647 combinations can be demultiplexed in triple-stained samples. The antibody labeling approach is general and can be broadly applied to many biological and diagnostic applications where spectral detection is available.

molecular biology↗

bioRxiv2023

The modified RNA base acp3U is an attachment site for N-glycans in glycoRNA

We recently identified glycoRNA--a previously undescribed glycoconjugate--which consists of RNAs modified with secretory N-glycans and presented on the cell surface. While previous work supported a covalent linkage between RNA and glycans, the direct chemical nature of the RNA-glycan connection was not described. Here we develop a sensitive and scalable protocol to detect and characterize native glycoRNAs. Leveraging periodate oxidation and aldehyde ligation (rPAL) and Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH-MS), we identified the modified RNA base 3-(3-amino-3-carboxypropyl)uridine (acp3U) as a site of attachment of N-glycans in glycoRNA. The sensitivity and robustness of rPAL provided the first evidence of a direct glycan-RNA linkage, and its flexibility will enable further characterization of glycoRNA biology.

molecular biology↗

bioRxiv2025

CoSiDeX: A hyperspectral fluorescent protein resource for highly multiplexed imaging

Fluorescent proteins (FPs) have revolutionized spatiotemporal observations in biology. Yet, the design of multiplexed assays remains constrained by limited spectral characterization and palette validation. Although over 1,000 FPs have been catalogued, systematic resources for characterizing their use in multiplexed approaches are lacking. Here we present a resource and methodology for selecting and decoding FPs in multiplexed imaging experiments. A library of forty-four FPs was built for rapid assembly into mammalian expression vectors and transposase-mediated integration. Hyperspectral imaging was performed for each FP and spectral space was characterized mathematically. To support experimental design and data interpretation, we developed the Cosine Similarity Decoder of XFP (CoSiDeX) toolbox, to predict spectrally resolvable FP palettes and decode and re-color hyperspectral images. Using this approach, we demonstrate live-cell imaging of 12 uniquely labeled clones. Our work offers a scalable platform for selecting optimal FP palettes for multiplex experiments, with broad utility across diverse biological systems and hyperspectral imaging techniques.

molecular biology↗

bioRxiv2026

Circadian clock control of translation fidelity through MetRS-mediated methionine misincorporation

Translation fidelity is generally viewed as a constitutive process that deteriorates under stress and aging. Here we show that the fidelity of amino acid incorporation is instead dynamically regulated by the circadian clock. In Neurospora crassa, methionine (Met) misincorporation into proteins exhibits robust daily rhythms, peaking at night coincident with elevated reactive oxygen species (ROS). Rhythmic Met misincorporation requires the circadian clock, the ERK-family MAPK MAK1, and MAK1-dependent phosphorylation of methionyl-tRNA synthetase (MetRS), linking circadian signaling to regulated mistranslation associated with oxidative stress resistance. Preventing MetRS phosphorylation abolishes rhythmic Met misincorporation, impairs growth, and increases sensitivity to oxidative stress, whereas a phosphomimetic MetRS mutant enhances oxidative stress survival. Proteome-wide analyses identified thousands of Met misincorporation events, including a rhythmic subset that oscillates independently of corresponding protein abundance, suggesting that mistranslation dynamically remodels proteome composition across the day. Together, these findings establish translation fidelity as a regulated circadian output and support a model in which the circadian clock temporally regulates mistranslation to enhance oxidative stress resilience. Significance StatementBiological clocks regulate translation termination fidelity, but whether they also control the accuracy of amino acid incorporation during protein synthesis was unknown. We show that the circadian clock drives rhythmic methionine misincorporation into proteins through ERK-family MAPK signaling and phosphorylation of methionyl-tRNA synthetase. Methionine misincorporation peaks during periods of elevated oxidative stress, and disrupting this regulation compromises oxidative stress survival, whereas constitutive activation enhances resistance. Together with previous work on translation termination fidelity, these findings reveal that biological clocks regulate multiple layers of translation fidelity and identify adaptive mistranslation as a mechanism that promotes cellular resilience.

molecular biology↗

bioRxiv2026

LiverDCP: A Disease-Cell-Protein Framework for Multi-scale Modeling of Disease Biology

Understanding how molecular interactions give rise to disease phenotypes across cellular contexts remains a central challenge in biomedical research. Here, we introduce a Disease-Cell-Protein (DCP) paradigm for modeling multi-scale disease biology, which jointly represents disease states, cellular composition, and protein interaction networks within a unified graph architecture. We instantiate this paradigm in the liver as LiverDCP by integrating LiverHomo, a harmonized single-cell atlas of liver diseases, with proteome-wide predicted protein-protein interactions to construct over 280 context-specific interactomes across diverse liver disease and cellular conditions. LiverDCP employs a multi-context representation learning strategy that enables joint training across hundreds of disease-cell environments, capturing shared interaction principles while preserving context-specific variation. LiverDCP incorporates pretrained protein sequence-derived features through a geometry-aware two-phase training scheme that preserves embedding structure while improving predictive performance. The resulting DCP protein embeddings reveal extensive rewiring of protein functional states across diseases, providing a transferable representation for downstream biomedical applications. Without GWAS supervision during representation learning, LiverDCP enables disease-risk gene classification and identifies cell types through which genetic risk may act. For therapeutic target discovery, LiverDCP recovers established Phase II+ MASH targets and prioritizes previously unrecognized candidates from the unannotated proteome, with 26 of the top 50 predictions showing independent PubMed evidence related to MASH biology. Context-specific interaction analysis further provides mechanistic hypotheses for less-characterized candidates. Together, these results establish DCP as a generalizable framework for connecting molecular interactions, cellular context, genetic risk, and therapeutic opportunities across complex diseases.

systems biology↗

bioRxiv2021

Development of an integrated structural biology platform specialized for sub-100 kDa protein complexes to support biologics discovery and rational engineering

Developing a biologic medicine requires successful decision making at each step of selection, optimization, and/or combination of the right candidates at early research stages. Knowing the structural information and binding pattern between drug target and discovery candidates greatly increases the possibility of success. With the cryo-EM resolution revolution and rapid development of computational software, we have evaluated and integrated different tools in structural biology and the computation field and established a highly cost-effective platform, which allows us to obtain fast and accurate structural information for biologics projects with a close to 100% success rate and as fast as weeks turn-around time. Here we report four case studies selected from over 40 different protein structures and share how we integrate cryo-EM structure determination, computational structure modeling, and molecular dynamics simulation. With proper decision making and strategic planning, the platform allows us to obtain quality results within days to weeks, including sub-100 kDa complexes which are usually considered as a challenge due to their small size. Our utilization of this differential approach and use of multiple software packages, allows to manage priorities and resources to achieve goals quickly and efficiently. We demonstrate how to effectively overcome particle orientation bias by altering complex composition. In several of our examples, we use glycan density to facilitate interpretation of low-resolution 3D reconstruction and epitope mapping. Protein information plays an important role in our cryo-EM projects, especially in cases where we see significant challenges in obtaining high-resolution 3D maps.

molecular biology↗

bioRxiv2021

A Two-Component System FleS/FleR Regulates Multiple Virulence-Related Traits in Pseudomonas aeruginosa

Microorganisms commonly use two-component systems (TCSs) to detect specific environmental changes and respond accordingly for their own benefit. However, the regulatory mechanisms and physiological roles of a majority of TCSs are still elusive. In this study, we focused on a previously predicted TCS FleS/FleR in Pseudomonas aeruginosa to systematically investigate its regulation and physiological roles. Loss of fleS or fleR or both genes led to decreased biofilm formation and attenuated motility in PAO1, which could be restored by heterologously complementation of FleR but not FleS, confirming that the sensor kinase FleS and the response regulator FleR constitute a TCS pair. To determine the regulatory spectrum of this TCS, we conducted transcriptome sequencing and comparison between the wild-type strain and the fleR deletion mutant. The result showed that the TCS regulates about 440 genes including most of them are involved in the virulence-related pathways, e.g. siderophore biosynthesis, pyocyanin biosynthesis, type III/VI secretion systems, c-di-GMP metabolism, flagellar assembly etc. In addition to its roles in controlling biofilm formation and motility we have already shown, FleR was demonstrated to regulate the production of virulence factors such as pyocyanin and elastase, mediate stress response to SDS, and autoregulate its own expression. Moreover, EMSA assays revealed that FleR regulates flagellum biosynthesis genes flgBCDE, flgFGHIJKL, filC, which are essential for the bacterial motility, by directly interacting with their promoters. Taken together, these results expanded our understanding on the biological roles of FleS/FleR and provided new insights on its regulatory mechanisms.

molecular biology↗

bioRxiv2021

RPRD Proteins Control Transcription in Human Cells

The regulation of transcription is an essential process that allows the cell to respond to various internal and external signals. RNA Polymerase II (Pol II) activity is controlled by a number of factors which bind to the C-terminal domain (CTD) of its largest subunit, RPB1, and stimulate or suppress RNA synthesis. Here, we demonstrate that CTD-interacting proteins, RPRD2, RPRD1B and RPRD1A act as negative regulators of transcription and their levels inversely correlate with the accumulation of nascent and newly transcribed RNA in human cells. We show that the RPRD proteins form mutually exclusive complexes with Pol II to coordinate their roles in transcriptional control. Our data indicate that RPRD2 exerts the most substantial impact on transcription and has the potential to alter key biological processes including the cellular stress response and cell growth.

molecular biology↗

bioRxiv2021

Alpha-Gal Syndrome: Involvement of Amblyomma americanum α-D-galactosidase and β-1,4 Galactosyltransferase enzymes in α-gal metabolism

Alpha-Gal Syndrome (AGS) is an IgE-mediated delayed-type hypersensitivity reaction to the oligosaccharide galactose--1,3-galactose (-gal) injected into humans from the lone star tick (Amblyomma americanum) bite. This study aims at the functional characterization of two tick enzymes, -D-galactosidase (ADGal) and -1,4 galactosyltransferase ({beta}-1,4GalT) in -gal metabolism. The ADGal enzyme cleaves terminal -galactose moieties from glycoproteins and glycolipids, whereas {beta}-1,4GalT transfers -galactose to a {beta}1,4 terminal linkage acceptor sugars: GlcNAc, Glc, and Xyl in various processes of glycoconjugate synthesis. An RNA interference approach was utilized to silence ADGal and {beta}-1,4GalT in Am. americanum to examine their functional role in -gal metabolism and AGS onset. Silencing of ADGal led to the significant down regulation of genes involved in galactose metabolism and transport in Am. americanum. Immunoblot and N-glycan analysis of the Am. americanum salivary glands showed a significant reduction in -gal levels in silenced tissues. However, there was no significant difference in the level of -gal in {beta}-1,4GalT silenced tick salivary glands. A basophil-activation test showed a decrease in the frequency of activated basophil by ADGal silenced salivary glands. These results provide an insight into the role of -D galactosidase & {beta}-1,4GalT in tick biology and the probable involvement in the onset of AGS.

molecular biology↗

bioRxiv2021

Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design

Carbohydrates and glycoproteins modulate key biological functions. Computational approaches inform function to aid in carbohydrate structure prediction, structure determination, and design. However, experimental structure determination of sugar polymers is notoriously difficult as glycans can sample a wide range of low energy conformations, thus limiting the study of glycan-mediated molecular interactions. In this work, we expanded the RosettaCarbohydrate framework, developed and benchmarked effective tools for glycan modeling and design, and extended the Rosetta software suite to better aid in structural analysis and benchmarking tasks through the SimpleMetrics framework. We developed a glycan-modeling algorithm, GlycanTreeModeler, that computationally builds glycans layer-by-layer, using adaptive kernel density estimates (KDE) of common glycan conformations derived from data in the Protein Data Bank (PDB) and from quantum mechanics (QM) calculations. After a rigorous optimization of kinematic and energetic considerations to improve near-native sampling enrichment and decoy discrimination, GlycanTreeModeler was benchmarked on a test set of diverse glycan structures, or "trees". Structures predicted by GlycanTreeModeler agreed with native structures at high accuracy for both de novo modeling and experimental density-guided building. GlycanTreeModeler algorithms and associated tools were employed to design de novo glycan trees into a protein nanoparticle vaccine that are able to direct the immune response by shielding regions of the scaffold from antibody recognition. This work will inform glycoprotein model prediction, aid in both X-ray and electron microscopy density solutions and refinement, and help lead the way towards a new era of computational glycobiology.

molecular biology↗