Biology subjects

Nguyen, H. A.

Publications and source records attributed to Nguyen, H. A..

12 recordsLinked to original sources

bioRxiv2024

Beware of Data Leakage from Protein LLM Pretraining

Pretrained protein language models are becoming increasingly popular as a backbone for protein property inference tasks such as structure prediction or function annotation, accelerating biological research. However, related research oftentimes does not consider the effects of data leakage from pretraining on the actual downstream task, resulting in potentially unrealistic performance estimates. Reported generalization might not necessarily be reproducible for proteins highly dissimilar from the pretraining set. In this work, we measure the effects of data leakage from protein language model pretraining in the domain of protein thermostability prediction. Specifically, we compare two different dataset split strategies: a pretraining-aware split, designed to avoid similarity between pretraining data and the held-out test sets, and a commonly-used naive split, relying on clustering the training data for a downstream task without taking the pretraining data into account. Our experiments suggest that data leakage from language model pretraining shows consistent effects on melting point prediction across all experiments, distorting the measured performance. The source code and our dataset splits are available at https://github.com/tfiedlerdev/pretraining-aware-hotprot.

bioinformatics↗

bioRxiv2024

AMRomics: a scalable workflow to analyze large microbial genome collection

Whole genome analysis for microbial genomics is critical to studying and monitoring antimicrobial resistance strains. The exponential growth of microbial sequencing data necessitates a fast and scalable computational pipeline to generate the desired outputs in a timely and cost-effective manner. Recent methods have been implemented to integrate individual genomes into large collections of specific bacterial populations and are widely employed for systematic genomic surveillance. However, they do not scale well when the population expands and turnaround time remains the main issue for this type of analysis. Here, we introduce AMRomics, a minimalized microbial genomics pipeline that can work efficiently with big datasets. We use different bacterial data collections to compare AMRomics against competitive tools and show that our pipeline can generate similar results of interest but with better performance. The software is open source and is publicly available at https://github.com/amromics/amromics under an MIT license.

bioinformatics↗

bioRxiv2023

Pasa: Leverage population pangenome graph to scaffold prokaryote genome assemblies.

Whole genome sequencing has increasingly become the essential method for studying the genetic mechanisms of antimicrobial resistance and for surveillance of drug-resistant bacterial pathogens. The majority of bacterial genomes sequenced to date have been sequenced with Illumina sequencing technology, owing to its high-throughput, excellent sequence accuracy, and low cost. However, because of the short-read nature of the technology, these assemblies are fragmented into large numbers of contigs, hindering the obtaining of full information of the genome. We develop Pasa, a graph-based algorithm that utilizes the pangenome graph and the assembly graph information to improve scaffolding quality. By leveraging the population information of the bacteria species, Pasa is able to utilize the linkage information of the gene families of the species to resolve the contig graph of the assembly. We show that our method outperforms the current state of the art in terms of accuracy, and at the same time, is computationally efficient to be applied to a large number of existing draft assemblies.

bioinformatics↗

bioRxiv2023

PanTA: An ultra-fast method for constructing large and growing microbial pangenomes

Pangenome analysis is an indispensable step in bacterial genomics to address the high variability of bacteria genomes. However, speed and scalability remain a challenge for pangenome inference software tools to cope with the fast-growing genomic collections. We present PanTA, a software package for constructing the pangenomes of large bacterial collections. We show that PanTA exhibits an unprecedented multiple times more efficient than the current state-of-the-arts while maintaining a similar pangenome accuracy. In addition, PanTA introduces a novel mechanism to construct the pangenome progressively where new samples are added into an existing pangenome without rebuilding the accumulated collection from scratch. In the progressive mode, PanTA is demonstrated to consume orders of magnitude less computational resource than existing solutions in managing the pangenomes of growing microbial datasets. We further show that PanTA can build the pangenome of the entire collection of >28000 Escherichia coli genomes from the RefSeq database on a laptop computer in 32 hours, highlighting the scalability and practicality of PanTA.The software is open source and is publicly available at https://github.com/amromics/panta under an MIT license.

bioinformatics↗

bioRxiv2023

Antibiotic that inhibits trans-translation blocks binding of EF-Tu to tmRNA but not to tRNA

Trans-Translation is conserved throughout bacteria and is essential in many species. High-throughput screening identified a tetrazole-based trans-translation inhibitor, KKL-55, that has broad-spectrum antibiotic activity. A biotinylated version of KKL-55 pulled down Elongation Factor Thermo-unstable (EF-Tu) from bacterial lysates. Purified EF-Tu bound KKL-55 in vitro with a Kd = 2 {micro}M, confirming a high-affinity interaction. An X-ray crystal structure showed KKL-55 binds in domain 3 of EF-Tu, and mutation of residues in the binding pocket abolished KKL-55 binding. RNA binding assays in vitro showed that KKL-55 inhibits binding between EF-Tu and tmRNA, but not between EF-Tu and tRNA. These data demonstrate a new mechanism for inhibition of EF-Tu function and suggest that this specific inhibition of EF-Tu*tmRNA binding is a viable target for antibiotic development. IMPORTANCEEF-Tu is a universally conserved translation factor that mediates productive interactions between tRNAs and the ribosome. In bacteria, EF-Tu also delivers tmRNA-SmpB to the ribosome during trans-translation. We report the first small molecule, KKL-55, that specifically inhibits EF-Tu activity in trans-translation without affecting its activity in normal translation. KKL-55 has broad-spectrum antibiotic activity, suggesting that compounds targeted to the tmRNA-binding interface of EF-Tu could be developed into new antibiotics to treat drug-resistant infections.

biochemistry↗

bioRxiv2023

Consecutive treatments of methamphetamine promote the 4 development of cardiac pathological symptoms in zebrafish

Chronic methamphetamine use, a widespread drug epidemic, has been associated with cardiac morphological and electrical remodeling, leading to the development of numerous cardiovascular diseases. While methamphetamine has been documented to induce arrhythmia, most results originate from clinical trials from users who experienced different durations of methamphetamine abuse, providing no documentation on the use of methamphetamine in standardized settings. Additionally, the underlying molecular mechanism on how methamphetamine affects the cardiovascular system remains elusive. A relationship was sought between cardiotoxicity and arrhythmia with associated methamphetamine abuse in zebrafish to identify and to understand the adverse cardiac symptoms associated with methamphetamine. Zebrafish were first treated with methamphetamine 3 times a week over a 2-week duration. Immediately after treatment, zebrafish underwent electrocardiogram (ECG) measurement using an in-house developed acquisition system for electrophysiological analysis. Subsequent analyses of cAMP expression and Ca2+ regulation in zebrafish cardiomyocytes were conducted. cAMP is vital to development of myocardial fibrosis and arrhythmia, prominent symptoms in the development of cardiovascular diseases. Ca2+ dysregulation is also a factor in inducing arrhythmias. During the first week of treatment, zebrafish that were administered with methamphetamine displayed a decrease in heart rate, which persisted throughout the second week and remained significantly lower than the heart rate of untreated fish. Results also indicate an increased heart rate variability during the early stage of treatment followed by a decrease in the late stage for methamphetamine-treated fish over the duration of the experiment, suggesting a biphasic response to methamphetamine exposure. Methamphetamine-treated fish also exhibited reduced QTc intervals throughout the experiment. Results from the cAMP and Ca2+ assays demonstrate that cAMP was upregulated and Ca2+ was dysregulated in response to methamphetamine treatment. Collagenic assays indicated significant fibrotic response to methamphetamine treatment. These results provide potential insight into the role of methamphetamine in the development of fibrosis and arrhythmia due to downstream effectors of cAMP.

physiology↗

bioRxiv2023

Analyzing genomic alterations involved in fluoroquinolone-resistant development in Staphylococcus aureus

AimRecently, the rise in Staphylococcal infection incidence accompanied by a rise of antibiotic-resistant strains is a major threat to public health. In this study, mechanisms leading to the occurrence of high-level multidrug-resistant (MDR) Staphylococcus aureus (S. aureus) strains after fluoroquinolone (FQ) exposure were investigated. MethodologySerially exposing S. aureus ATCC 29213 to ciprofloxacin (CIP), ofloxacin (OFL), or levofloxacin (LEV) at sub-minimum inhibitory concentrations (sub-MICs) for 12 days was performed to obtain S. aureus -1 strains and culturing for another 10 days without antibiotics to obtain S. aureus-2 strains. The genomic alterations in FQ-exposed strains were reached using whole genome sequencing and target sequencing. The expressions of efflux-related genes, alternative sigma factors, and genes involved in FQ resistance were evaluated using RT-qPCR. ResultsAfter serial FQ exposure, we observed a strong and irreversible increase of MICs to all applied FQs, i.e 32 to 128 times in all S. aureus-1 and remained 16 to 32 times in all S. aureus-2. WGS indicated 10 significant mutations including 2 deletions, 1 insertion, and 7 missense mutations that occur in all S. aureus-1 and -2 but not in initial strain. The FQ target, GrlA, was also mutated (R570H) in all S. aureus-1 and -2 which can partly explain the development of FQ resistance over the FQ exposure. Besides, FQ exposure also resulted in overexpression of genes encoding for (1) efflux pumps and their regulator (norA, norB, norC, and mgrA); (2) alternative sigma factors (sigB and sigS); (3) acetyltransferase (rimI); (4) methicillin resistance (fmtB); and (5) hypothetical protein BJI72_0645. ConclusionThe mutations occurred in the FQ-target sequence were associated with high-level FQ resistance while the activation of efflux pump systems and post-translational proteins played an important role in the emergence of MDR in S. aureus. Author summaryAntimicrobial resistance is a major public health problem worldwide. Multiple studies have been performed to understand how bacteria develops resistance during the antibiotic therapy in vitro and in vivo. Here we revealed how Staphylococcus aureus, a stubborn human pathogen, changed its genome and expression of important genes in responding with sub-MIC exposure to flouroquinolone antibiotics. Mutations were found in the target of flouroquinolones such as GrlA (R570H) and interestingly in some hypothetical regions which may be important for gene expression regulation. We have observed an marked overexpression of genes encoding for (1) efflux pumps and their regulator (norA, norB, norC, and mgrA); (2) alternative sigma factors (sigB and sigS); (3) acetyltransferase (rimI); (4) methicillin resistance (fmtB); and (5) hypothetical protein BJI72_0645 in all exposed strains. Importantly, the expression change still remained when the bacteria were no longer exposed to the antibiotics. This study is important to understand response of S. aureus to flouroquinolone and how it obtains the resistance phenotype under antibiotic exposure.

microbiology↗

bioRxiv2023

Structural basis for reduced ribosomal A-site fidelity in response to P-site codon-anticodon mismatches

Rapid and accurate translation is essential in all organisms to produce properly folded and functional proteins. mRNA codons that define the protein coding sequences are decoded by tRNAs on the ribosome in the aminoacyl (A) binding site. The mRNA codon and the tRNA anticodon interaction is extensively monitored by the ribosome to ensure accuracy in tRNA selection. While other polymerases that synthesize DNA and RNA can correct for misincorporations, the ribosome is unable to correct mistakes. Instead, when a misincorporation occurs, the mismatched tRNA-mRNA pair moves to the peptidyl (P) site and from this location, causes a reduction in the fidelity at the A site, triggering post-peptidyl transfer quality control. This reduced fidelity allows for additional incorrect tRNAs to be accepted and for release factor 2 (RF2) to recognize sense codons, leading to hydrolysis of the aberrant peptide. Here, we present crystal structures of the ribosome containing a tRNALys in the P site with a U*U mismatch with the mRNA codon. We find that when the mismatch occurs in the second position of the P-site codon-anticodon interaction, the first nucleotide of the A-site codon flips from the mRNA path to engage highly conserved 16S rRNA nucleotide A1493 in the decoding center. We propose that this mRNA nucleotide mispositioning leads to reduced fidelity at the A site. Further, this state may provide an opportunity for RF2 to initiate premature termination before erroneous nascent chains disrupt the cellular proteome.

biochemistry↗

bioRxiv2021

50S subunit recognition and modification by the Mycobacterium tuberculosis ribosomal RNA methyltransferase TlyA

Changes in bacterial ribosomal RNA methylation status can alter the activity of diverse groups of ribosome-targeting antibiotics. These modifications are typically incorporated by a single methyltransferase that acts on one nucleotide target and rRNA methylation directly prevents drug binding, thereby conferring drug resistance. Loss of intrinsic methylation can also result in antibiotic resistance. For example, Mycobacterium tuberculosis becomes sensitized to tuberactinomycin antibiotics, such as capreomycin and viomycin, due to the action of the intrinsic methyltransferase TlyA. TlyA is unique among antibiotic resistance-associated methyltransferases as it has dual 16S and 23S rRNA substrate specificity and can incorporate cytidine-2-O-methylations within two structurally distinct contexts. Here, we report the structure of a mycobacterial 50S subunit-TlyA complex trapped in a post-catalytic state with a S-adenosyl-L-methionine analog using single-particle cryogenic electron microscopy. Together with complementary functional analyses, this structure reveals critical roles in 23S rRNA substrate recognition for conserved residues across an interaction surface that spans both TlyA domains. These interactions position the TlyA active site over the target nucleotide C2144 which is flipped from 23S Helix 69 in a process stabilized by stacking of TlyA residue Phe157 on the adjacent A2143. Base flipping may thus be a common strategy among rRNA methyltransferase enzymes even in cases where the target site is accessible without such structural reorganization. Finally, functional studies with 30S subunit suggest that the same TlyA interaction surface is employed to recognize this second substrate, but with distinct dependencies on essential conserved residues. Significance StatementThe bacterial ribosome is an important target for antibiotics used to treat infection. However, resistance to these essential drugs can arise through changes in ribosomal RNA (rRNA) modification patterns through the action of intrinsic or acquired rRNA methyltransferase enzymes. How these antibiotic resistance-associated enzymes recognize their ribosomal targets for site-specific modification is currently not well defined. Here, we uncover the molecular basis for large ribosomal (50S) subunit substrate recognition and modification by the Mycobacterium tuberculosis methyltransferase TlyA, necessary for optimal activity of the antitubercular drug capreomycin. From this work, recognition of complex rRNA structures distant from the site of modification and "flipping" of the target nucleotide base both emerge as general themes in ribosome recognition for bacterial rRNA modifying enzymes.

biochemistry↗

bioRxiv2020

BBrowser: Making single-cell data easily accessible

BioTurings BBrowser is a software solution that helps scientists effectively analyze single-cell omics data. It combines big data with big computation and modern data visualization to create a unique platform where scientists can interact and obtain important biological insights from the massive amounts of single-cell data. BBrowser has three main components: a curated single-cell database, a big-data analytics layer, and a data visualization module. BBrowser is available for download at: https://bioturing.com/bbrowser/download.

bioinformatics↗

bioRxiv2020

A comparative study of isothermal nucleic acid amplification methods for SARS-CoV-2 detection at point of care

COVID-19, caused by the novel coronavirus SARS-CoV-2, has spread worldwide and put most of the world under lockdown. Despite that there have been emergently approved vaccines for SARS-CoV-2, COVID-19 cases, hospitalizations, and deaths have remained rising. Thus, rapid diagnosis and necessary public health measures are still key parts to contain the pandemic. In this study, the colorimetric isothermal nucleic acid amplification tests (iNAATs) for SARS-CoV-2 detection based on loop-mediated isothermal amplification (LAMP), cross-priming amplification (CPA), and polymerase spiral reaction (PSR) were designed and evaluated. The three methods showed the same limit of detection (LOD) value of 1 copy of the targeted gene per reaction. However, for the direct detection of SARS-CoV-2 genomic-RNA, LAMP outperformed both CPA and PSR, exhibiting the LOD value of roughly 43.14 genome copies/reaction. The results can be read with the naked eye within 45 minutes, without cross-reactivity to closely related coronaviruses. Moreover, the direct detection of SARS-CoV-2 RNA in simulated patient specimens by iNAATs was also successful. Finally, the ready-to-use lyophilized reagents for LAMP reactions were shown to maintain the sensitivity and LOD value of the liquid assays. The results indicate that the colorimetric lyophilized LAMP kit developed herein is highly suitable for detecting SARS-CoV-2 nucleic acids at point-of-care.

molecular biology↗

bioRxiv2019

Convergence of glandular trichome morphology and chemistry in two montane monkeyflower species

Two distantly-related North American montane monkeyflower species, Mimulus lewisii and Mimulus tilingii, possess glandular trichomes. In this study, we characterized the morphological and histochemical features of these glandular trichomes. For each species, we used traditional light microscopy and scanning electron microscopy (SEM) to examine morphological characteristics, and determined the main components of the secretory products using histochemical and thin layer chromatography (TLC) staining techniques. We identified type VI glandular trichomes on leaf surfaces in both species of monkeyflowers. These trichomes exhibited stalk-cell lengths and head-cell counts that varied across adaxial and abaxial leaf surfaces, stems, and sepals. Both species contained secretory products within the cuticle of the trichome head, which releases the subcuticular metabolites when ruptured. Histochemical tests in both M. lewisii and M. tilingii confirmed that secretions contained lipids and polysaccharides. TLC plate staining indicated the presence of UV active compounds with polyalcohols, lipids, and amines. The common morphology and chemistry of the glandular trichomes suggests an analogous response to similar environmental conditions in these evolutionary distant montane monkeyflowers.

plant biology↗