Biology subjects

Chan, H.

Publications and source records attributed to Chan, H..

18 recordsLinked to original sources

bioRxiv2026

Intrinsically disordered insert from SH2D2A rewires CD19 CAR signaling via Tyr290

Chimeric antigen receptor (CAR) T cells have transformed cancer immunotherapy, yet their truncated or suboptimal intracellular signaling can limit therapeutic efficacy. To enhance proximal signaling of a CD19-targeted CAR, we systematically inserted short Lck-recruiting motifs derived from Lck-adaptor proteins into the CAR intracellular tail. Six candidate sequences from four adaptor molecules (SH2D2A, SKAP1, LAT, LIME), with a sequence from CD3{varepsilon}, known to affect CAR functionality, as a positive control, were tested for expression and functional impact. Three CAR constructs (containing SH2D2A, LAT and LIME1 sequences respectively) displayed reduced surface expression, but only SH2D2A elicited a pronounced rewiring of CAR T cell phenotype following co-culture with CD19+ tumor lines. SH2D2A CAR T cells showed increased CD27 and CD56 expression and reduced expression of effector-associated mediators including granzyme B, IL-2, TNF, and IFN{gamma}. Through systematic mutagenesis and comparative phenotyping of SH2D2A CAR variants, we identified SH2D2A tyrosine 290 (Tyr290) as the critical residue mediating both the altered signaling phenotype and the low surface expression. Additionally, mutation of Tyr254 in the LIME1 CAR restored surface expression in Jurkat T cells, indicating insert- and context-dependent effects on receptor surface expression. Collectively, these results demonstrate that short, intrinsically disordered adaptor-derived sequences -- and single tyrosine residues within them -- can profoundly reprogram CAR signaling and expression.

immunology↗

bioRxiv2025

Parallel and non-parallel features of adaptive radiation in Yucatan pupfishes

Understanding the extent of parallelism across adaptive radiations remains a central problem in evolutionary biology. We used whole-genome resequencing of 123 individuals to compare the adaptive radiation of Cyprinodon pupfishes in Lake Chichancanab, Mexico, to an independent radiation of San Salvador Island (SSI) pupfishes in the Bahamas, and assess the repeatability of adaptive genetic architecture, sources of adaptive variation, and stages of selection. Despite rapid craniofacial divergence of trophic specialists within 8-15 kya, only two candidate genes (0.5%; 2/426) were shared between Caribbean radiations. Although adaptive introgression played a major role in SSI, we found minimal evidence of adaptive introgression in Chichancanab, likely due to the geographic isolation of this inland lake. Instead, de novo mutations provided a substantial source of adaptive variation (30.6%) for the endemic zooplanktivore, 15 times higher than the endemic scale-eater on SSI. However, in parallel with SSI, we found strong evidence that adaptive divergence occurred in stages, first on regulatory and standing genetic variation, then on de novo and nonsynonymous mutations. Consistent with adaptive variants near opsin and spermatogenesis genes, functional categories unique to Chichancanab, we found greater visual acuity and divergent sperm morphology in lab-reared zooplanktivores relative to generalists using laboratory assays. Consistent with extensive adaptive de novo mutations in WNT10A and rapid diversification of tooth size in the zooplanktivore, we found that experimental inhibition of the Wnt pathway in generalists resulted in narrower oral teeth. We conclude that de novo mutations, not introgression, can drive rapid adaptive radiations in isolated environments.

evolutionary biology↗

bioRxiv2025

Validation of a Microsampling-Compatible LC-MS/MS Method for Cannabinoid Quantitation in Whole Blood

Recently developed dried blood sampling methods for cannabinoid quantitation require small blood volumes, making them microsampling-compatible, but have notable limitations including hematocrit-related bias for dried blood spots (DBS) and higher consumable costs for volumetric absorptive microsampling (VAMS(R)). To address these issues, we developed a highly sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method capable of quantifying cannabinoids in 50 {micro}L of liquid whole blood, providing a practical microsampling alternative to dried blood approaches. Using liquid-liquid extraction (LLE) with sodium hydroxide alkalinization and acetonitrile precipitation, followed by quantitative analysis on an Agilent 6495 liquid chromatography-triple quadrupole (LC-TQ) mass spectrometer, we achieved lower limits of quantitation (LLOQs) of 0.10 ng/mL for {Delta}9-tetrahydrocannabinol (THC) and cannabinol (CBN), 0.20 ng/mL for cannabigerol (CBG), 0.30 ng/mL for cannabidiol (CBD), 0.50 ng/mL for 11-hydroxy-THC (11-OH-THC), and 5.0 ng/mL for 11-nor-9-carboxy-THC (THC-COOH). Calibration was linear from the LLOQ to 300 ng/mL for all analytes. To our knowledge, this is the first validated approach for cannabinoid quantitation in less than 100 {micro}L of liquid whole blood with an LLOQ for THC comparable to that with the most sensitive LC-MS/MS methods using standard blood volumes. The achieved LLOQs for other cannabinoids are also suitable for forensic toxicology applications. We anticipate particular utility for obtaining evidence from suspected impaired drivers at the roadside when paired with finger-prick sampling and liquid blood microcollection tubes.This approach enables measurement of THC levels at the time of driving and thereby overcoming current limitations, including the decrease in THC levels that occurs if blood sampling is delayed, the requirement for larger sample volumes ([≥]100 {micro}L), and dependence on trained phlebotomists for venipuncture.

pharmacology and toxicology↗

bioRxiv2025

Covalent Degraders of Immune Regulatory Transcription Factors IRF8 and IRF5

Transcription factors are among the most challenging targets for drug discovery due to their lack of classical binding pockets and high degree of intrinsic disorder, despite the therapeutic importance of many of these proteins. IRF5 and IRF8 are key transcriptional regulators of innate immune signaling that orchestrate pro-inflammatory gene expression programs in response to stimuli such as toll-like receptor activation, making them central players in autoimmune and inflammatory diseases. Despite their therapeutic interest, direct targeting of IRF5 and IRF8 has remained challenging. Through a screen originally intended to identify cysteine-reactive electrophilic ligands that could directly and covalently engage and degrade IRF5, we identified an acrylamide hit, EN1033, that not only targeted and degraded IRF5 but also degraded a related inflammatory transcription factor, IRF8, more robustly and rapidly. EN1033 destabilized and degraded IRF5 and IRF8 by covalently targeting C28 and C223, respectively, as evidenced by the attenuation of their degradation through mutagenesis of these cysteines. We also found that IRF8 loss led to downregulation and inhibition of IRF5 activity, suggesting crosstalk between these two transcription factors, both of which are targeted by EN1033. Upon exploring structure-activity relationships, we identified an optimized compound, TH-B10, that more potently and selectively targeted and degraded IRF8 and, secondarily, downregulated IRF5 by targeting C223 on IRF8. Overall, we identify an early-stage pathfinder molecule, TH-B10, that directly covalently targets and degrades IRF8 and secondarily modulates IRF5 to shut down pro-inflammatory transcriptional activity.

biochemistry↗

bioRxiv2025

Identification of DOK2 and PTPN11 as novel interactors of T cell specific adapter protein TSAd

T cells play a crucial role in the adaptive immune system and depend on tightly regulated intracellular signalling pathways to respond in an appropriate manner. Adapter proteins have flexible and dynamic features, which allow them to regulate T cell signal transduction pathways. As adapter proteins are enzymatically inert and may play multiple roles in parallel, it has been a challenge to fully characterise their functions individually. One such protein in T cells, is T cell specific adapter protein (TSAd), which is upregulated following T cell receptor (TCR) stimulation and is believed to mediate Src family tyrosine kinase signalling. However, the functional role remains elusive, possibly due to limited insight into interactors that potentially bind TSAd. The only structurally well-defined feature within TSAd, is the Src homology 2 (SH2) domain. This conserved domain displays prototypic binding of phosphorylated tyrosines, which suggests that the adapter molecule is implicated in phosphotyrosine signalling pathways. Here, we used an unbiased approach to identify ligands of the TSAd SH2 domain, by using affinity-purification mass spectrometry (AP-MS). Several novel ligands, many of which are known to be implicated in negative regulation of T cell intracellular signalling, were identified. More specifically, we showed that TSAd binds DOK2 and PTPN11 and determined the tyrosines responsible for the TSAd SH2 domain-dependent interaction. Ablation of TSAd and DOK2 by CRISPR/Cas9 in Jurkat T cells resulted in altered tyrosine phosphorylation. Taken together, these findings provide new insight into the possible function of TSAd as a negative signalling node in T cells.

immunology↗

bioRxiv2025

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↗

bioRxiv2024

High resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery

Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its utility in interpreting both human variant effects and protein structure-function relationships, it holds substantial promise to improve drug discovery and clinical development. However, applications in this domain require improved experimental and analytical methods. To address this need, we report novel DMS methods to precisely and quantitatively interrogate disease-relevant mechanisms, protein-ligand interactions, and assess predicted response to drug treatment. Using these methods, we performed a DMS of the melanocortin-4 receptor (MC4R), a G protein-coupled receptor (GPCR) implicated in obesity and an active target of drug development efforts. We assessed the effects of >6,600 single amino acid substitutions on MC4Rs function across 18 distinct experimental conditions, resulting in >20 million unique measurements. From this, we identified variants that have unique effects on MC4R-mediated Gs- and Gq-signaling pathways, which could be used to design drugs that selectively bias MC4Rs activity. We also identified pathogenic variants that are likely amenable to a corrector therapy. Finally, we functionally characterized structural relationships that distinguish the binding of peptide versus small molecule ligands, which could guide compound optimization. Collectively, these results demonstrate that DMS is a powerful method to empower drug discovery and development.

synthetic biology↗

bioRxiv2023

Multiple performance peaks for scale-biting in an adaptive radiation of pupfishes

The physical interactions between organisms and their environment ultimately shape their rate of speciation and adaptive radiation, but the contributions of biomechanics to evolutionary divergence are frequently overlooked. Here we investigated an adaptive radiation of Cyprinodon pupfishes to measure the relationship between feeding kinematics and performance during adaptation to a novel trophic niche, lepidophagy, in which a predator removes only the scales, mucus, and sometimes tissue from their prey using scraping and biting attacks. We used high-speed video to film scale-biting strikes on gelatin cubes by scale-eater, molluscivore, generalist, and hybrid pupfishes and subsequently measured the dimensions of each bite. We then trained the SLEAP machine-learning animal tracking model to measure kinematic landmarks and automatically scored over 100,000 frames from 227 recorded strikes. Scale-eaters exhibited increased peak gape and greater bite length; however, substantial within-individual kinematic variation resulted in poor discrimination of strikes by species or strike type. Nonetheless, a complex performance landscape with two distinct peaks best predicted gel-biting performance, corresponding to a significant nonlinear interaction between peak gape and peak jaw protrusion in which scale-eaters and their hybrids occupied a second performance peak requiring larger peak gape and greater jaw protrusion. A bite performance valley separating scale-eaters from other species may have contributed to their rapid evolution and is consistent with multiple estimates of a multi-peak fitness landscape in the wild. We thus present an efficient deep-learning automated pipeline for kinematic analyses of feeding strikes and a new biomechanical model for understanding the performance and rapid evolution of a rare trophic niche.

evolutionary biology↗

bioRxiv2023

Ultrastructural details of resistance factors of the bacterial spore revealed by in situ cryo-electron tomography

The bacterial spore owes its incredible resistance capacities to various molecular structures that protect the cell content from external aggressions. Among the determinants of resistance are the quaternary structure of the chromosome and an extracellular shell made of proteinaceous layers (the coat), the assembly of which remains poorly understood. Here, in situ cryo-electron tomography (cryo-ET) on bacteria lamellae generated by cryo-focused ion beam micromachining (cryo-FIBM) provides insights into the ultrastructural organization of Bacillus subtilis sporangia, including that of the DNA and nascent coat layers. Analysis of the reconstructed tomograms reveal that rather early during sporulation, the chromosome in the developing spore (the forespore) adopts a toroidal structure harboring 5.5-nm thick fibers. At the same stage, coat proteins at the surface of the forespore form a complex stack of amorphous or structured layers with distinct electron density, dimensions and organization. We investigated the nature of the nascent coat layers in various mutant strains using cryo-FIBM/ET and transmission electron microscopy on resin sections of freeze-substituted bacteria. Combining these two cellular electron microscopy approaches, we distinguish seven nascent coat regions with different molecular properties, and propose a model for the contribution of the morphogenetic proteins SpoIVA, SpoVID, SafA and/or CotE. Significance statementBacterial spores are dormant cells that can resist to multiple stresses, including antibiotics, detergents, irradiation and high temperatures. Such resilience is an asset when spores are used for the benefit of humans, as in the case of probiotics, or a major problem for public health, food safety or biowarfare when it comes to spores of pathogenic bacteria. In this study, we combined state-of-the-art cryo-electron tomography and conventional cellular electron microscopy to provide insights into intermediate stages of spore development. Our data reveal the intracellular reorganization of the chromosome into a toroidal fibrillar structure and the complex assembly of the multi-protein, multilayered extracellular coat, shedding light on the mechanisms by which the spore acquires its incredible resistance capacities.

microbiology↗

bioRxiv2023

Discovery and Validation of Context-Dependent Synthetic Mammalian Promoters

Cellular transcription enables cells to adapt to various stimuli and maintain homeostasis. Transcription factors bind to transcription response elements (TREs) in gene promoters, initiating transcription. Synthetic promoters, derived from natural TREs, can be engineered to control exogenous gene expression using endogenous transcription machinery. This technology has found extensive use in biological research for applications including reporter gene assays, biomarker development, and programming synthetic circuits in living cells. However, a reliable and precise method for selecting minimally-sized synthetic promoters with desired background, amplitude, and stimulation response profiles has been elusive. In this study, we introduce a massively parallel reporter assay library containing 6184 synthetic promoters, each less than 250 bp in length. This comprehensive library allows for rapid identification of promoters with optimal transcriptional output parameters across multiple cell lines and stimuli. We showcase this librarys utility to identify promoters activated in unique cell types, and in response to metabolites, mitogens, cellular toxins, and agonism of both aminergic and non-aminergic GPCRs. We further show these promoters can be used in luciferase reporter assays, eliciting 50-100 fold dynamic ranges in response to stimuli. Our platform is effective, easily implemented, and provides a solution for selecting short-length promoters with precise performance for a multitude of applications.

synthetic biology↗

bioRxiv2023

Application of nanotags and nanobodies for live cell single-molecule imaging of the Z-ring in Escherichia coli

Understanding where proteins are localized in a bacterial cell is essential for understanding their function and regulation. This is particularly important for proteins that are involved in cell division, which localize at the division septum and assemble into highly regulated complexes. Current knowledge of these complexes has been greatly facilitated by super-resolution imaging using fluorescent protein fusions. Herein we demonstrate with FtsZ that single-molecule PALM images can be obtained in-vivo using a genetically fused nanotag (ALFA) and a corresponding nanobody fused to mEos3.2. The methodology presented is applicable to other bacterial proteins.

microbiology↗

bioRxiv2022

A cell-based, spike protein binding assay highlights differences in antibody neutralising capacity for SARS-CoV-2 variants

The engagement of the SARS-CoV-2 spike protein with ACE2 is a critical step for viral entry to human cells and accordingly blocking this interaction is a major determinant of the efficacy of monoclonal antibody therapeutics and vaccine-elicited serum antibodies. The emergence of SARS-CoV-2 variants necessitates the development of adaptable assays that can be applied to assess the effectiveness of therapeutics. Through testing of a range of recombinant spike proteins, we have developed a cell based, ACE2/spike protein binding assay that characterises monoclonal anti-spike protein antibodies and neutralising antibodies in donor serum. The assay uses high-content imaging to quantify cell bound spike protein fluorescence. Using spike proteins from the original Wuhan SARS-CoV-2 virus, as well as the delta and omicron variants, we identify differential blocking activity of three monoclonal antibodies directed against the spike receptor binding domain. Importantly, biological activity in the spike binding assay translated to efficacy in a SARS-CoV-2 infection assay. Hence, the spike binding assay has utility to monitor anti-spike antibodies against the major known SARS-CoV-2 variants and is readily adaptable to quantify impact of antibodies against new and emerging SARS-CoV-2 variants.

cell biology↗

bioRxiv2021

Structure of telomerase-bound CST with Polymerase α-Primase

Telomeres are the physical ends of linear chromosomes, composed of short repeating sequences (e.g. TTGGGG in Tetrahymena for the G-strand) of double-stranded DNA with a single-strand 3-overhang of the G-strand and a group of proteins called shelterin1,2. Among these, TPP1 and POT1 associate with the 3-overhang, with POT1 binding the G-strand3 and TPP1 recruiting telomerase via interaction with telomerase reverse transcriptase (TERT)4. The ends of the telomeric DNA are replicated and maintained by telomerase5, for the G-strand, and subsequently DNA Polymerase -Primase6,7 (PolPrim), for the C-strand8. PolPrim is stimulated by CTC1-STN1-TEN1 (CST)9-12, but the structural basis of both PolPrim and CST recruitment to telomere ends remains unknown. Here we report cryo-EM structures of Tetrahymena CST in the context of telomerase holoenzyme, both in the absence and presence of PolPrim, as well as of PolPrim alone. Ctc1 binds telomerase subunit p50, a TPP1 ortholog, on a flexible Ctc1 binding motif unveiled jointly by cryo-EM and NMR spectroscopy. PolPrim subunits are arranged in a catalytically competent conformation, in contrast to previously reported autoinhibited conformation. Polymerase POLA1 binds Ctc1 and Stn1, and its interface with Ctc1 forms an entry port for G-strand DNA to the POLA1 active site. Together, we obtained a snapshot of four key players required for telomeric DNA synthesis in a single complex--telomerase core RNP, p50/TPP1, CST and PolPrim--that provides unprecedented insights into CST and PolPrim recruitment and handoff between G-strand and C-strand synthesis.

molecular biology↗

bioRxiv2021

SmdA is a novel cell morphology determinant in Staphylococcus aureus

Cell division and cell wall synthesis in staphylococci need to be precisely coordinated and controlled to allow the cell to multiply while maintaining their nearly spherical shape. The mechanisms ensuring correct placement of the division plane and synthesis of new cell wall have been studied intensively, however, hitherto unknown factors and proteins are likely to play key roles in this complex interplay. We here identified and investigated a protein with major influence on cell morphology in Staphylococcus aureus. The protein, named SmdA (for staphylococcal morphology determinant A), is a membrane-protein with septum-enriched localization. By CRISPRi knockdown and overexpression combined with different microscopy techniques, we demonstrate that proper levels of SmdA is necessary for cell division, including septum formation and cell splitting. We also identified conserved residues in SmdA that are critical for its functionality. Pulldown- and bacterial two-hybrid interaction experiments showed that SmdA interacts with several known cell division- and cell wall synthesis proteins, including penicillin binding proteins (PBPs) and EzrA. Notably, SmdA also affects susceptibility to cell wall targeting antibiotics, particularly in methicillin-resistant S. aureus (MRSA). Together, our results show that S. aureus is dependent on balanced amounts of membrane-attached SmdA in order to carry out proper cell division. ImportanceStaphylococcus aureus is an important human and animal pathogen. Antibiotic resistance is a major problem in treatment of staphylococcal infections, and cell division and cell wall synthesis factors have previously been shown to modulate susceptibility to antibiotics in this species. In the current work we investigated the function of an essential protein named SmdA, which was identified based on its septal localization and knockdown phenotype resulting in defective cellular morphologies. We demonstrate that this protein is critical for normal cell division in S. aureus. Depletion of SmdA sensitize resistant staphylococci to {beta}-lactam antibiotics. This work thus reveals a new staphylococcal cell division factor and a potential future target for narrow spectrum antimicrobials or compounds to resensitize antibiotic resistant staphylococcal strains.

microbiology↗

bioRxiv2021

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge.

Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal encodes specific properties of the underlying diffusion process. In the last two decades, several signal representations have been proposed to fit the dMRI signal and decode such properties. Most methods, however, are tested and developed on a limited amount of data, and their applicability to other acquisition schemes remains unknown. With this work, we aimed to shed light on the generalizability of existing dMRI signal representations to different diffusion encoding parameters and brain tissue types. To this end, we organized a community challenge - named MEMENTO, making available the same datasets for fair comparisons across algorithms and techniques. We considered two state-of-the-art diffusion datasets, including single-diffusion-encoding (SDE) spin-echo data from a human brain with over 3820 unique diffusion weightings (the MASSIVE dataset), and double (oscillating) diffusion encoding data (DDE/DODE) of a mouse brain including over 2520 unique data points. A subset of the data sampled in 5 different voxels was openly distributed, and the challenge participants were asked to predict the remaining part of the data. After one year, eight participant teams submitted a total of 80 signal fits. For each submission, we evaluated the mean squared error, the variance of the prediction error and the Bayesian information criteria. Most predictions predicted either multi-shell SDE data (37%) or DODE data (22%), followed by cartesian SDE data (19%) and DDE (18%). Most submissions predicted the signals measured with SDE remarkably well, with the exception of low and very strong diffusion weightings. The prediction of DDE and DODE data seemed more challenging, likely because none of the submissions explicitly accounted for diffusion time and frequency. Next to the choice of the model, decisions on fit procedure and hyperparameters play a major role in the prediction performance, highlighting the importance of optimizing and reporting such choices. This work is a community effort to highlight strength and limitations of the field at representing dMRI acquired with trending encoding schemes, gaining insights into how different models generalize to different tissue types and fiber configurations over a large range of diffusion encodings.

neuroscience↗

bioRxiv2020

Cell biological studies of ethanologenic bacterium Zymomonas mobilis

Alphaproteobacterium Zymomonas mobilis exhibits extreme ethanologenic physiology, making this species a promising biofuel producer. Numerous studies have investigated its biology relevant to industrial applications and mostly at the population level. However, the organization of single cells in this industrially important, polyploid species has been largely uncharacterized. In the present study, we characterized basic cellular behaviour of Z. mobilis strain Zm6 at a single cell level. We observed that growing Z. mobilis cells often divided at non mid-cell position, which contributed to variant cell size at birth. Yet, the cell size variance was regulated by a modulation of cell cycle span, mediated by a correlation of bacterial tubulin homologue FtsZ-ring accumulation with cell growth. The Z. mobilis culture also exhibited heterogeneous cellular DNA contents among individual cells, which might have been caused by asynchronous replication of chromosome that was not coordinated to cell growth. Furthermore, slightly angled divisions might have rendered temporary curvatures of attached Z. mobilis cells. Overall, the presented study uncovered a novel bacterial cell organization in Z. mobilis, the metabolism of which is not favoured for biosynthesis to build biomass. ImportanceWith increasing environmental concerns about the exhausting use of fossil fuels, a development of sustainable biofuel production platform has been attracting significant public attention. Ethanologenic Z. mobilis species are endowed with an efficient ethanol-fermentation capacity that surpass, in several aspects, that of the bakers yeast Saccharomyces cerevisiae, the most used microorganism for ethanol productions. For a development of Z. mobilis culture-based biorefinery, an investigation of its uncharacterized cell biology is important, because bacterial cellular organization and metabolism are closely associated with each other in a single cell compartment. In addition, the current work highlights that polyploid bacterium Z. mobilis exhibits a distinctive mode of bacterial cell organization, reflecting its unique metabolism that do not prioritize incorporation of nutrients to cell growth. Thus, another significance of presented work is to advance our general understanding in the diversity of bacterial cell architecture.

microbiology↗

bioRxiv2019

Morphological deconvolution of beta-lactam polyspecificity in E. coli

Beta-lactam antibiotics comprise one of the earliest known classes of antibiotic therapies. These molsecules covalently inhibit enzymes from the family of penicillin-binding proteins, which are essential to the construction of the bacterial cell wall. As a result, beta-lactams have long been known to cause striking changes to cellular morphology. The exact nature of the changes tend to vary by the precise PBPs engaged in the cell since beta-lactams exhibit a range of PBP enzyme specificity. The traditional method for exploring beta-lactam polyspecificity is a gel-based binding assay which is low-throughput and typically run ex situ in cell extracts. Here, we describe a medium-throughput, image-based assay combined with machine learning methods to automatically profile the activity of beta-lactams in E. coli cells. By testing for morphological change across a panel of strains with perturbations to individual PBP enzymes, our approach automatically and quantifiably relates different beta-lactam antibiotics according to their preferences for individual PBPs in cells. We show the potential of our approach for guiding the design of novel inhibitors towards different PBP-binding profiles by recapitulating the activity of two recently-reported PBP inhibitors.

systems biology↗

bioRxiv2018

Cell shape independent FtsZ dynamics in synthetically remodeled cells

The FtsZ protein is a key regulator of bacterial cell division. It has been implicated in acting as a scaffolding protein for other division proteins, being a force generator during constriction, and more recently, as an active regulator of septal cell wall production. During an early stage of the division cycle, FtsZ assembles into a heterogeneous structure coined the \"Z-ring\" due to its resemblance to a ring confined by the midcell geometry. While in vitro experiments on supported lipid bilayers have shown that purified FtsZ can self-organize into a swirling ring roughly the diameter of a bacterial cell, it is not known how, and if, membrane curvature affects FtsZ assembly and dynamics in vivo.\n\nTo establish a framework for examining geometrical influences on proper Z-ring assembly and dynamics, we sculptured Escherichia coli cells into unnatural shapes, such as squares and hearts, using division-and cell wall-specific inhibitors in a micro fabrication scheme. This approach allowed us to examine FtsZ behavior in engineered \"Z-squares\" and \"Z-hearts\", and in giant cells up to 50 times their normal volume. Quantification of super-resolution STimulated Emission Depletion (STED) nanoscopy data showed that FtsZ densities in sculptured cells maintained the same dimensions as their wild-type counterparts. Additionally, time-resolved fluorescence measurements revealed that FtsZ dynamics were generally conserved in a wide range of cell shapes. Based on our results, we conclude that the underlying membrane environment is not a deciding factor for FtsZ filament maintenance and treadmilling in vivo.

microbiology↗