Sorting Platform Research Articles

Research on cargo volume prediction and personnel scheduling optimization of sorting center based on BP neural network and improved genetic algorithm

With the development of Internet technology, e-commerce has become the primary choice for consumers to shop, and the huge order transaction volume has generated logistics problems. As an important part of the logistics network, the sorting platform is essential to improve its management efficiency. To enhance the efficiency of the sorting center, the topological relationship diagram is used to show the logistics network, and the cargo volume of the sorting center in the next 30 days and every hour is predicted based on the BP neural network model. Based on the mixed integer linear programming model and the improved genetic algorithm SCAGA model, the total man-days are minimized to ensure that the cargo volume is processed. At the same time, to ensure that the actual hourly efficiency is as balanced as possible, the optimization problem of personnel scheduling is studied. To maintain the efficient operation of the logistics industry, the accurate prediction of the number of goods and the reasonable scheduling of personnel, to provide a set of efficient and economical personnel scheduling programs for the logistics company, thus improving the overall operational efficiency and service quality.

Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities

Isogenic bacterial cell populations are phenotypically heterogenous and may include subpopulations of antibiotic tolerant or heteroresistant cells. The reversibility of these phenotypes and lack of biomarkers to differentiate functionally different, but morphologically identical cells is a challenge for research and clinical detection. To overcome this, we present ´Cellular Phenotypic Profiling and backTracing (CPPT)´, a fluorescence-activated cell sorting platform that uses fluorescent probes to visualize and quantify cellular traits and connects this phenotypic profile with a cell´s experimentally determined fate in single cell-derived growth and antibiotic susceptibility analysis. By applying CPPT on Staphylococcus aureus we phenotypically characterized dormant cells, exposed bimodal growth patterns in colony-derived cells and revealed different culturability of single cells on solid compared to liquid media. We demonstrate that a fluorescent vancomycin conjugate marks cellular subpopulations of vancomycin-intermediate S. aureus with increased likelihood to survive antibiotic exposure, showcasing the value of CPPT for discovery of clinically relevant biomarkers.

Hemifusomes and Interacting Proteolipid Nanodroplets: Formation of a Novel Cellular Organelle Complex.

Within cells, vesicle fusion, scission, and the formation of intraluminal vesicles are critical processes that facilitate traffic, degradation, and recycling of cellular components, and maintenance of cellular homeostasis. Despite significant advancements in elucidating the molecular mechanisms that drive these dynamic processes, the direct in situ visualization of membrane remodeling intermediates remains challenging. Here, through the application of cryo-electron tomography in mammalian cells, we have identified a previously undescribed vesicular organelle complex with unique membrane topology: heterotypic hemifused vesicles that share extended hemifusion diaphragms (HDs) with a 42 nm proteolipid nanodroplet (PND) at their rim. We have termed these organelle complexes "hemifusomes". The HDs of hemifusomes exhibit a range of sizes and curvatures, including the formation of lens-shaped compartments encapsulated within the membrane bilayer. The morphological diversity of the lens-shaped vesicle aligns with a step-wise process of their intraluminal budding, ultimately leading to their scission and the generation of intraluminal vesicles. We propose that hemifusomes function as versatile platforms for protein and lipid sorting and as central hubs for the biogenesis of intraluminal vesicles and the formation of multivesicular bodies.

Label-free morphological profiling and isolation of immune cell subsets using VisionSort, a novel, AI-based flow cytometry platform.

Abstract Identification, characterization, and minimally invasive isolation of specific populations of human immune cells are critical for understanding and treating disease. Here we present data on label-free identification of three immune cell subsets by morphological profiling using VisionSort; a label-free, artificial intelligence (AI)-driven cellular analysis and sorting platform. By capturing single-cell digital phenotypes, we characterized mouse T-cells and generated ‘ground truth’ functional profiles for activated and non-activated T cells. A set of machine-learning derived classifiers was generated to identify these phenotypic classes in unlabeled T-cell subsets. The classifier showed an area under the curve (AUC) performance for differentiating between phenotypically defined T cell populations of 0.917. In addition, by using unsupervised machine learning, we were able to resolve activated and non-activated T cell populations label free, using morphological data alone. Using a similar approach, we show label-free differentiation/classification of B cells from plasma cells with an AUC score of 0.941 and M1 and M2 polarized macrophages with an AUC score of 0.878 +/- 0.002 (n=6). Here we report results on the use of a novel, label-free cytometry platform to characterize and isolate human immune cell subsets using morphological profiling and AI with applications for investigators in basic life sciences and drug developers in small molecule, antibody, and cell therapy R&D.

Label-free morphometric characterization of T cells for cell and gene therapy research and development.

Abstract Identification, characterization, and minimally invasive isolation of T cells is critical for developing cellular therapies. Here we used VisionSort, an artificial intelligence (AI)-driven cellular analysis and sorting platform, to characterize and isolate human T cell subsets with therapeutically relevant phenotypes, label-free. By capturing single-cell digital phenotypes, we characterized human T-cells and generated ‘ground truth’ functional profiles for 1) glycolysis level, 2) exhaustion state 3) activation or resting profiles and 4) viability. A set of machine-learning derived classifiers was generated to identify these phenotypic classes label-free. The classifiers showed area under the curve (AUC) performance ranges for detecting specific, phenotypically defined T-cell populations between 0.923 and 0.995. Using a combination of supervised and unsupervised machine learning approaches, we also show identification of follicular helper T (Tfh) cells from other CD4+ T cells based on morphology alone. When we analyzed the morphological profiles of T cell subsets by unsupervised machine learning using uniform maniform projection and approximation (UMAP), we found that both gamma delta (γδ) T cells were distinct from alpha beta (αβ) T cells and CD8+ T cells were distinct from CD4+ T cells. Here we report on the use of AI-based cytometry to characterize and isolate phenotypically defined T cell subsets label-free, with applications in basic life science and cell therapy R&D.

A Label-Free Droplet Sorting Platform Integrating Dielectrophoretic Separation for Estimating Bacterial Antimicrobial Resistance.

Antimicrobial resistance (AMR) has become a crucial global health issue. Antibiotic-resistant bacteria can survive after antibiotic treatments, lowering drug efficacy and increasing lethal risks. A microfluidic water-in-oil emulsion droplet system can entrap microorganisms and antibiotics within the tiny bioreactor, separate from the surroundings, enabling independent assays that can be performed in a high-throughput manner. This study presents the development of a label-free dielectrophoresis (DEP)-based microfluidic platform to sort droplets that co-encapsulate Escherichia coli (E. coli) and ampicillin (Amp) and droplets that co-encapsulate Amp-resistant (AmpR) E. coli with Amp only based on the conductivity-dependent DEP force (FDEP) without the assistance of optical analyses. The 9.4% low conductivity (LC) Luria-Bertani (LB) broth diluted with 170 mM mannitol can maintain E. coli and AmpR E. coli growth for 3 h and allow Amp to kill almost all E. coli, which can significantly increase the LCLB conductivity by about 100 μS/cm. Therefore, the AmpR E. coli/9.4%LCLB/Amp where no cells are killed and the E. coli/9.4%LCLB/Amp-containing droplets where most of the cells are killed can be sorted based on this conductivity difference at an applied electric field of 2 MHz and 100 Vpp that generates positive FDEP. Moreover, the sorting ratio significantly decreased to about 50% when the population of AmpR E. coli was equal to or higher than 50% in droplets. The conductivity-dependent DEP-based sorting platform exhibits promising potential to probe the ratio of AmpR E. coli in an unknown bacterial sample by using the sorting ratio as an index.

The ER-SURF pathway uses ER-mitochondria contact sites for protein targeting to mitochondria

Most mitochondrial proteins are synthesized on cytosolic ribosomes and imported into mitochondria in a post-translational reaction. Mitochondrial precursor proteins which use the ER-SURF pathway employ the surface of the endoplasmic reticulum (ER) as an important sorting platform. How they reach the mitochondrial import machinery from the ER is not known. Here we show that mitochondrial contact sites play a crucial role in the ER-to-mitochondria transfer of precursor proteins. The ER mitochondria encounter structure (ERMES) and Tom70, together with Djp1 and Lam6, are part of two parallel and partially redundant ER-to-mitochondria delivery routes. When ER-to-mitochondria transfer is prevented by loss of these two contact sites, many precursors of mitochondrial inner membrane proteins are left stranded on the ER membrane, resulting in mitochondrial dysfunction. Our observations support an active role of the ER in mitochondrial protein biogenesis.

Defining an Optimized Workflow for Enriching and Analyzing Residual Tumor Populations Using Intracellular Markers

Tumor relapse is well-recognized to arise from treatment-resistant residual populations. Strategies enriching such populations for in-depth downstream analyses focus on tumor-specific surface markers; however, enrichment using intracellular biomarkers remains challenging. Using B-cell lymphoma as an exemplar, we demonstrate feasibility to enrich BCL2high populations, a surrogate marker for t(14;18)+ lymphomas, for use in downstream applications. Different fixation protocols were assessed for impact on antibody expression and RNA integrity; glyoxal fixation demonstrated superior results regarding minimal effects on surface and intracellular expression, and RNA quality, compared to alternative fixatives evaluated. Furthermore, t(14;18)+ B-cells were effectively detected using intracellular BCL2 over-expression to facilitate tumor cell enrichment. Tumor cell populations were enriched using the cellenONE F1.4 single cell sorting platform, which detected and dispensed BCL2high-expressing cells directly into library preparation reagents for transcriptome analyses. Sorted glyoxal-fixed cells generated good quality sequencing libraries, with high concordance between live and fixed single cell transcriptomic profiles, discriminating cell populations predominantly on B-cell biology. Overall, we successfully develop a proof-of-concept workflow employing a robust cell preparation protocol for intracellular markers combined with cell enrichment using the cellenONE platform, providing an alternative to droplet-based technologies when cellular input is low or requires prior enrichment to detect rare populations. This workflow has wider prognostic and therapeutic potential to study residual cells in a pan-cancer setting.

Pilotins are mobile T3SS components involved in assembly and substrate specificity of the bacterial type III secretion system.

In animal pathogens, assembly of the type III secretion system injectisome requires the presence of so-called pilotins, small lipoproteins that assist the formation of the secretin ring in the outer membrane. Using a combination of functional assays, interaction studies, proteomics, and live-cell microscopy, we determined the contribution of the pilotin to the assembly, function, and substrate selectivity of the T3SS and identified potential new downstream roles of pilotin proteins. In absence of its pilotin SctG, Yersinia enterocolitica forms few, largely polar injectisome sorting platforms and needles. Accordingly, most export apparatus subcomplexes are mobile in these strains, suggesting the absence of fully assembled injectisomes. Remarkably, while absence of the pilotin all but prevents export of early T3SS substrates, such as the needle subunits, it has little effect on secretion of late T3SS substrates, including the virulence effectors. We found that although pilotins interact with other injectisome components such as the secretin in the outer membrane, they mostly localize in transient mobile clusters in the bacterial membrane. Together, these findings provide a new view on the role of pilotins in the assembly and function of type III secretion injectisomes.

Cytosolic sorting platform complexes shuttle type III secretion system effectors to the injectisome in Yersinia enterocolitica

Bacteria use type III secretion injectisomes to inject effector proteins into eukaryotic target cells. Recruitment of effectors to the machinery and the resulting export hierarchy involve the sorting platform. These conserved proteins form pod structures at the cytosolic interface of the injectisome but are also mobile in the cytosol. Photoactivated localization microscopy in Yersinia enterocolitica revealed a direct interaction of the sorting platform proteins SctQ and SctL with effectors in the cytosol of live bacteria. These proteins form larger cytosolic protein complexes involving the ATPase SctN and the membrane connector SctK. The mobility and composition of these mobile pod structures are modulated in the presence of effectors and their chaperones, and upon initiation of secretion, which also increases the number of injectisomes from ~5 to ~18 per bacterium. Our quantitative data support an effector shuttling mechanism, in which sorting platform proteins bind to effectors in the cytosol and deliver the cargo to the export gate at the membrane-bound injectisome.

SeParate: multiway fluorescence-activated droplet sorting based on integration of serial and parallel triaging concepts.

Fluorescence-activated droplet sorting (FADS) has emerged as a versatile high-throughput sorting tool that is, unlike most fluorescence-activated cell sorting (FACS) platforms, capable of sorting droplet-compartmentalized cells, cell secretions, entire enzymatic reactions and more. Recently, multiplex FADS platforms have been developed for the sorting of multi-fluorophore populations towards different outlets in addition to the standard, more commonly used, 2-way FADS platform. These multiplex FADS platforms consist of either multiple 2-way junctions one after the other (i.e. serial sorters) or of one junction sorting droplets in more than 2 outlets (i.e. parallel sorters). In this work, we present SeParate, a novel platform based on integrating s̲e̲rial and p̲a̲r̲allel sorting principles for accura̲t̲e̲ multiplex droplet sorting that is able to mitigate limitations of current multiplex sorters. We show the SeParate platform and its capability in highly accurate 4-way sorting of a multi-fluorophore population into four subpopulations with the potential to expand to more. More specifically, the SeParate platform was thoroughly validated using mixed populations of fluorescent beads and picoinjected droplets, yielding sorting accuracies up to 100% and 99.9%, respectively. Finally, transfected HEK-293T cells were sorted employing two different optical setups, resulting in an accuracy up to 99.5%. SeParate's high accuracy for a diverse set of samples, including highly variable biological specimens, together with its scalability beyond the demonstrated 4-way sorting, warrants a broad applicability for multi-fluorophore studies in life sciences, environmental sciences and others.

Design of a material sorting digital twin system based on NX MCD

Current methods of manually checking whether materials meet the required standards are inefficient and harmful to workers' health. To address the complexity and variability of real-world systems, it is imperative to establish highly consistent digital models for subsequent operations. However, there is a challenge in unifying various modules and components into a single system and optimizing them for functionality. A mechatronic solution is proposed for material sorting within the production manufacturing process, leveraging Siemens TIA Portal and NX 2007. The solution involves constructing a physical platform and realizing a digital twin system to enable real-virtual interaction via communication protocols. Initially, a virtual material sorting simulation and debugging platform is established using NX software, while operations are conducted in the TIA Portal. Subsequently, the control program is designed within the TIA Portal, and Virtual PLCs are created using PLCSIM Advanced for virtual debugging and analysis, confirming the solution's feasibility. Following this, the physical material sorting platform is developed, utilizing Siemens S7-1500 PLC to manage inverter and servo motor operations. Ultimately, the OPC UA communication protocol facilitates information exchange between the physical PLC and the virtual platform, establishing effective linkage between the virtual system and the physical model to ensure coordination and consistency. Results demonstrate real-time synchronization and virtual sorting operations during joint real-virtual debugging. This digital twin design solution is poised to significantly enhance manufacturing efficiency, reduce initial hardware costs in factory design, and augment automation and intelligence in production.

Durability of the bubble-jet sorter enables high performance bio sample isolation.

Sorting cells while maintaining their viability for further processing or analysis is an essential step in a variety of biological processes ranging from early diagnostics to cell therapy. Sorting techniques such as fluorescence-activated cell sorting (FACS) have evolved considerably and provide standard ways of sorting. Nevertheless, the search for compact, integrated, efficient, and high throughput microfluidic sorting platforms continues due to challenges such as cost, cell viability, and biosafety. In our previous work, we introduced a technology with the potential to become such a platform: the bubble-jet sorter. It is a silicon-based sorter chip relying on cell deflection through micro vapor bubble formation. In this work, we present a new version of the sorter chip that emphasizes durability and continuous sorting operation. To characterize the sorter, we first focus on the technical performance and show a sorter lifetime that repeatedly exceeds 80 million actuation cycles. In addition, we show continuous operation at high firing rates, but also discuss limitations due to heat buildup. In a second step, we present continuous sorting runs of millions of beads and CD3 positive T cells at rates surpassing 1000 sorting events per second, while maintaining high purity (>90%) and recovery (>85%). Dedicated viability tests show that the gentle sorting process maintains cell viability in this closed, aerosol-free device. The remarkable combination of high lifetime, sorting rate, and sorting efficiency, along with the potential for on-chip parallelization show the promise of this technology to meet the growing demand for large-scale sample isolation in drug and immunotherapy development.

Inertial label-free sorting and chemotaxis of polymorphonuclear neutrophil in sepsis patients based on microfluidic technology

Reduced chemotactic migration of polymorphonuclear neutrophil (PMN) in sepsis patients leads to decreased bacterial clearance and accelerates the progression of sepsis disease. Quantification of PMN chemotaxis in sepsis patients can help characterize the immune health of sepsis patients. Microfluidic microarrays have been widely used for cell chemotaxis analysis because of the advantages of low reagent consumption, near-physiological environment, and visualization of the migration process. Currently, the study of PMN chemotaxis using microfluidic chips is mainly limited by the cumbersome cell separation operation and low throughput of microfluidic chips. In this paper, we first designed an inertial cell sorting chip to achieve label-free separation of the two major cell types by using the basic principle that leukocytes (mainly granulocytes, lymphocytes and monocytes) and erythrocytes move to different positions of the spiral microchannel when they move in the spiral microchannel under different strength of inertial force and Dean's resistance. Subsequently, in this paper, we designed a multi-channel cell migration chip and constructed a microfluidic PMN inertial label-free sorting and chemotaxis analysis platform. The inertial cell sorting chip separates leukocyte populations and then injects them into the multi-channel cell migration chip, which can complete the chemotaxis test of PMN to chemotactic peptide (fMLP) within 15 min. The remaining cells, such as monocytes with slow motility and lymphocytes that require pre-activation with proliferative culture, do not undergo significant chemotactic migration. The test results of sepsis patients ( n=6) and healthy volunteers ( n=3) recruited in this study showed that the chemotaxis index (CI) and migration velocity ( v) of PMN from sepsis patients were significantly weaker than those from healthy volunteers. In conclusion, the microfluidic PMN inertial label-free sorting and chemotaxis analysis platform constructed in this paper can be used as a new tool for cell label-free sorting and migration studies.

The dépôt of the Police Prefecture of Paris During the Occupation: French Collaboration in the Nazi Genocidal Policy

The dépôt of the Police Prefecture of Paris, in the heart of the city, was one of the most important places of anti-Jewish repression in France during the Occupation. It was the hub for the deportation of almost a third of the 38,500 deportees domiciled in Paris who were not arrested by the French police during the round-ups, but even more Jews passed through the dépôt without eventually being deported. These arrests were mostly based on the justification of offences committed by Jews against French laws and German orders. From mid-1942, the dépôt gradually evolved from a platform for sorting those arrested with a view to bringing them before a French judge to the main concentration and transfer point for Jews arrested individually to the Drancy internment camp. Yet, despite its importance, the dépôt remains completely unknown. The aim of this article is to present the central role played by the dépôt in the daily anti-Jewish repression that sealed French collaboration with Nazi genocidal policies until the Liberation.

Analysing Megasynthetase Mutants at High Throughput Using Droplet Microfluidics.

Nonribosomal peptide synthetases (NRPSs) are giant enzymatic assembly lines that deliver many pharmaceutically valuable natural products, including antibiotics. As the search for new antibiotics motivates attempts to redesign nonribosomal metabolic pathways, more robust and rapid sorting and screening platforms are needed. Here, we establish a microfluidic platform that reliably detects production of the model nonribosomal peptide gramicidin S. The detection is based on calcein-filled sensor liposomes yielding increased fluorescence upon permeabilization. From a library of NRPS mutants, the sorting platform enriches the gramicidin S producer 14.5-fold, decreases internal stop codons 250-fold, and generates enrichment factors correlating with enzyme activity. Screening for NRPS activity with a reliable non-binary sensor will enable more sophisticated structure-activity studies and new engineering applications in the future.

Design and testing of a machine-vision-based air-blow sorting platform for famous tea fresh leaves production

Famous tea is a pillar of China’s tea industry and must be processed using fresh leaves of consistent tenderness and size. However, equipment with high accuracy and efficiency are unavailable for sorting fresh tea leaves (FTLs). Therefore, in this study, we designed a machine-vision platform for sorting FTLs. This platform subjects FTLs to a horizontal tossing motion and change trajectory by blowing air, thereby achieving the sorting of different types of FTLs. The overall sorting scheme consists of classification scheme, control scheme, and process scheme. We found that different types of FTLs have different flight trajectories when subjected to horizontal tossing. And have different optimal classification features and sorting parameters. When sorting high-grade FTLs (low-grade FTLs), the classification feature used is area and mean saturation (equivalent diameter, major-axis length and G variance), the designed platform achieved a recognition rate, purity, selection rate, and integrity rate of 100% (98.5%), 94.32% (87.47%), 91.67% (90.67%), and 100% (100%), respectively. Under optimal parameters, the production efficiency of the platform reached 25 kg/h. Overall, the results of this study indicate that the designed platform can meet the small-scale production requirements for famous tea.

μDACS platform: A hybrid microfluidic platform using magnetic levitation technique and integrating magnetic, gravitational, and drag forces for density-based rare cancer cell sorting

Circulating tumor cells (CTCs) are crucial indicators of cancer metastasis. However, their rarity in the bloodstream and the heterogeneity of their surface biomarkers present challenges for their isolation. Here, we developed a hybrid microfluidic platform (microfluidic-based density-associated cell sorting (µDACS) platform) that utilizes density as a biophysical marker to sort cancer cells from the population of white blood cells (WBCs). The platform utilizes the magnetic levitation technique on a microfluidic chip to sort cells based on their specific density ranges, operating under a continuous flow condition. By harnessing magnetic, gravitational, and drag forces, the platform efficiently separates cells. This approach involves a microfluidic chip equipped with a microseparator, which directs cells into top and bottom outlets depending on their levitation heights, which are inversely proportional to their densities. Hence, low-density cancer cells are collected from the top outlet, while high-density WBCs are collected from the bottom outlet. We optimized the sorting efficiency by varying the flow rates, and concentrations of the sorting medium's paramagnetic properties using standard densities of polymeric microspheres. To demonstrate the platform's applicability, we performed hybrid microfluidic sorting on MDA-MB-231 human breast cancer cells and U-937 human monocytes. The results showed efficient sorting of rare cancer cells (≥100 cells/mL) from serum samples, achieving a sorting efficiency of ∼70% at a fast-processing speed of 1 mL h−1. This label-free approach holds promise for rapid and cost-effective CTC sorting, facilitating in-vitro diagnosis and prognosis of cancer.

Automated microarray platform for single-cell sorting and collection of lymphocytes following HIV reactivation.

A promising strategy to cure HIV-infected individuals is to use latency reversing agents (LRAs) to reactivate latent viruses, followed by host clearance of infected reservoir cells. However, reactivation of latent proviruses within infected cells is heterogeneous and often incomplete. This fact limits strategies to cure HIV which may require complete elimination of viable virus from all cellular reservoirs. For this reason, understanding the mechanism(s) of reactivation of HIV within cellular reservoirs is critical to achieve therapeutic success. Methodologies enabling temporal tracking of single cells as they reactivate followed by sorting and molecular analysis of those cells are urgently needed. To this end, microraft arrays were adapted to image T-lymphocytes expressing mCherry under the control of the HIV long terminal repeat (LTR) promoter, in response to the application of LRAs (prostratin, iBET151, and SAHA). In response to prostratin, iBET151, and SAHA, 30.5%, 11.2%, and 12.1% percentage of cells, respectively. The arrays enabled large numbers of single cells (>25,000) to be imaged over time. mCherry fluorescence quantification identified cell subpopulations with differing reactivation kinetics. Significant heterogeneity was observed at the single-cell level between different LRAs in terms of time to reactivation, rate of mCherry fluorescence increase upon reactivation, and peak fluorescence attained. In response to prostratin, subpopulations of T lymphocytes with slow and fast reactivation kinetics were identified. Single T-lymphocytes that were either fast or slow reactivators were sorted, and single-cell RNA-sequencing was performed. Different genes associated with inflammation, immune activation, and cellular and viral transcription factors were found.

The sorting platform in the type III secretion pathway: From assembly to function.

The type III secretion system (T3SS) is a specialized nanomachine that enables bacteria to secrete proteins in a specific order and directly deliver a specific set of them, collectively known as effectors, into eukaryotic organisms. The core structure of the T3SS is a syringe-like apparatus composed of multiple building blocks, including both membrane-associated and soluble proteins. The cytosolic components organize together in a chamber-like structure known as the sorting platform (SP), responsible for recruiting, sorting, and initiating the substrates destined to engage this secretion pathway. In this article, we provide an overview of recent findings on the SP's structure and function, with a particular focus on its assembly pathway. Furthermore, we discuss the molecular mechanisms behind the recruitment and hierarchical sorting of substrates by this cytosolic complex. Overall, the T3SS is a highly specialized and complex system that requires precise coordination to function properly. A deeper understanding of how the SP orchestrates T3S could enhance our comprehension of this complex nanomachine, which is central to the host-pathogen interface, and could aid in the development of novel strategies to fight bacterial infections.