Biology subjects

Sanchez, C.

Publications and source records attributed to Sanchez, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Postprandial hypertriglyceridemia activates microglia to promote satiety via an ASC dependent signaling.

Reactive microglia are commonly considered neurotoxic and detrimental for brain functioning. Chronic consumption of a high-fat diet strongly activates microglia, disrupts the central control of energy metabolism, contributes to obesity, and promotes cognitive decline. In this study we report an unexpected beneficial function of microglia reaction at the time scale of a meal, whereby they promote satiety in a macronutrient-dependent manner. We show that murine microglia react to ingested dietary fat within three hours. Specifically, postprandial hypertriglyceridemia induced microglial hyper-ramification alongside with a transcriptional reprogramming promoting communication with neurons. This effect occurs in discrete brain areas, including the hypothalamus and the brainstem, which control hunger. Remarkably, microglia-specific genetic ablation of Apoptosis-associated Speck-like protein containing a CARD (named ASC), a master regulator of metabolism, immune function and cell shape, profoundly alters satiety following high-fat food consumption. These results reveal that microglia engage an immune signaling pathway to rapidly alert the neural circuits and activate an anorectic response that limits overconsumption of dietary fat. Unexpectedly, this regulatory process is sexually dimorphic, present in males only. Furthermore, we found that the postprandial microglial reaction is bypassed during obesity, providing a new therapeutic target to treat maladaptive eating disorders.

neuroscience↗

bioRxiv2026

Protective near-germline antibodies to malaria elicited by RTS,S/AS01E vaccination in African infants

Malaria is a leading cause of childhood mortality, yet infant immune responses to vaccination remain poorly understood. Here, we characterize 88 monoclonal antibodies (mAbs) directed against the Plasmodium falciparum circumsporozoite protein cloned from African infants immunized with the RTS,S/AS01E malaria vaccine, identifying potent antiparasitic mAbs exhibiting molecular features resembling those observed in adults and minimal somatic hypermutation. Importantly, germline-reverted variants of four mAbs inducing sterile protection in vivo maintained high binding affinity and Fab-dependent parasite killing. Structural analyses revealed that a few amino acid replacements drive homotypic helical assemblies, fine-tuning parasite inhibition and protective efficacy. Thus, despite maturational constraints of early life, infants can generate potent antimalarial antibodies in a near-germline configuration, informing next-generation vaccine development for this vulnerable group.

immunology↗

bioRxiv2026

Division of labor during bacterial warfare

Division of labor is commonly associated with cooperative behavior, yet one of its most extreme forms occurs during bacterial warfare, where a subset of cells undergoes suicidal lysis to release toxins. Why bacteria divide labor among a few cells rather than producing toxin uniformly remains unknown. Here, we combine timelapse microscopy and simulations, to understand the division of labor during bacterial warfare using bacteriocin (colicin) production by the gut bacterium Escherichia coli as a model system. At the single-cell level, we find that lytic toxin production is a tightly regulated event: only cells that commit to lysis produce significant toxin and then lysis only occurs once a large amount of toxin has been made. This high threshold ensures each sacrifice delivers a large dose, which is released in a rapid burst from a lysing cell. While such burst-like release appears to provide no advantage over uniform labor in well-mixed conditions, we show it becomes extremely effective in spatially structured populations where the rapid release of toxin by one cell can generate lethal concentrations locally and eliminate competitors. Finally, we explain why the lysing fraction remains so small. While an increase in the producing cells increases toxin levels, it also increases the probability of local patch extinctions. The division of labor during bacterial warfare, therefore, enables powerful localized killing while safeguarding the population from self-destruction.

microbiology↗

bioRxiv2026

Inherited flagellar structures coordinate the onset of swimming among related E. coli cells

Bacteria commit to costly behaviors before they can benefit from them. In Escherichia coli, flagellar synthesis is expensive, yet the genes are expressed in stochastic pulses and only a small minority of pulses result in motility. Despite this noise, we find that lineage-related cells begin swimming at similar times, in groups of two to eight cells. Rare, high-amplitude pulses commit a single cell within one generation, but more commonly, pulses rise slowly and fail to trigger swimming before division. Rather than decaying, their output accumulates as cells inherit hook-basal bodies (HBBs) and continue to build new ones. This structural inheritance acts as a physical integrator, summing ongoing transcriptional activity across generations, so that an incomplete flagellar cascade is carried forward at division rather than lost. HBB accumulation sets when cells swim, and the anti-sigma factor FlgM sets how sharply. By holding late flagellar genes off until several HBBs have accumulated, FlgM makes motility depend steeply on early flagellar gene expression, so that relatives inheriting similar sets of HBBs become motile together. Without FlgM, this sharp dependence is largely lost, and activations of the full cascade do not reliably produce swimming. Together, our results show how the accumulation of a molecular machine integrates fluctuations, and how a checkpoint on its assembly sharpens them into a decision, setting both the speed and heritability of a behavioral trait.

systems biology↗

bioRxiv2026

ARHGAP20 organizes spatial Rap1-RhoA signaling coordination controlling adhesion dynamics during migration

Cell migration requires the precise coordination of signaling pathways that regulate cytoskeletal dynamics and adhesion turnover. Rho GTPase-activating proteins (RhoGAPs) play critical roles in shaping these processes by controlling the spatial and temporal activity of small GTPases. ARHGAP20 is a RhoA-specific GAP, a downstream target of the Ras-related GTPase Rap1, and has been implicated in cancer cell motility, yet its functional role in coordinating migration-associated signaling remains poorly understood. Here, we investigated the role of ARHGAP20 in cell migration and its impact on the coordination between adhesion- and contractility-associated signaling pathways regulated by Rap1A and RhoA respectively. Using loss-of-function approaches in MTLn3 cells, we show that depletion of ARHGAP20 impairs both directed and random migration, leading to reduced cell velocity and displacement, and increased cell adhesion. To explore the underlying signaling mechanisms, we developed a genetically encoded FRET biosensor to monitor Rap1A activity and combined it with a near-infrared RhoA biosensor to simultaneously analyze their spatiotemporal dynamics in living cells. We found that Rap1A and RhoA activities are negatively coordinated during leading-edge dynamics and that ARHGAP20 depletion enhances this local anticorrelation. To further define where ARHGAP20 regulates Rap1A-RhoA signaling, we applied a microdomain-based analytical framework to quantify local signaling clusters. This analysis revealed that ARHGAP20 selectively modulates Rap1A-RhoA coordination outside focal adhesion regions, while leaving signaling correlations and overlap within focal adhesions unchanged. Subcellular localization analyses further reveal that ARHGAP20 is largely excluded from focal adhesions but associates with microtubules, the endoplasmic reticulum, the Golgi apparatus, and multiple Rab-positive vesicular compartments, supporting a trafficking-dependent mechanism for its spatial targeting. Together, our results identify ARHGAP20 as a regulator of cell migration that modulates the coordination between Rap1A and RhoA signaling through intracellular vesicular trafficking, highlighting the GAPs role in organizing the spatial coupling between signaling pathways in adhesion-associated regions required for efficient cell migration.

cell biology↗

bioRxiv2026

G2-to-G0 cell cycle exit underlies sensitivity to ATR inhibition via the p53-p21-RB1 axis

Ataxia-telangiectasia and Rad3-related (ATR) is an essential DNA damage response kinase that protects genome integrity by controlling cell cycle checkpoints, regulating origin firing, stabilizing replication forks, and signaling DNA repair. Due to hyper-proliferation, cancer cells depend on ATR for survival, implicating ATR inhibitors as promising therapeutics. However, variable tumor responses to ATR inhibitors highlights the need to uncover the determinants of cell fate. Here, we show breast cancer sensitivity to ATR inhibition correlates with the appearance of pan-nuclear DNA damage. The fate of these cells is driven by a p53-p21-RB1 axis that triggers a G2-to-G0-like cell cycle exit and is buffered by the p53 inhibitor MDM2. MDM2 inhibition lowers the DNA damage threshold for cell cycle exit and robustly targets ATR inhibitor-resistant cells. Our work reveals cell cycle plasticity as a mechanism determining cell fate during ATR inhibition and identifies MDM2 as a target for increasing ATR inhibitor efficacy.

molecular biology↗

bioRxiv2026

Brown and Lesser noddies as epidemiological reservoirs and sentinels of avian influenza virus in the South-western Indian Ocean

Avian influenza virus (AIV) epidemiology is well-documented in temperate regions but remains poorly understood in isolated ecosystems like tropical oceanic islands. On these islands, seabirds nest in dense interspecific colonies where the role of different species as reservoirs and dispersers of AIV may vary greatly. Here, we examine the role of noddies (Anous spp.) as potential reservoirs for low pathogenic AIV and evaluate their potential as sentinel species for highly pathogenic AIV introduction on tropical oceanic islands. We analyzed blood samples from 11 seabird species across eight islands in the southwestern Indian Ocean (2015-2020). Noddies exhibited high, stable seroprevalence (30-45%), comparable to reservoir host species in temperate regions. The detection of two N7-positive noddies, sampled the same year on two distinct islands, provided direct molecular evidence that AIV actively circulates on these island colonies. While most other species showed low exposure, Bridled Terns (Onychoprion anaethetus) had exceptionally high seroprevalence (80%), though their reservoir status requires further investigation due to limited sampling. Given noddies consistent exposure and regional distribution, we recommend prioritizing islands with large noddy populations for AIV surveillance. Continued investigation of viral dynamics within and among islands is now called for to elucidate the ecological drivers of AIV maintenance and transmission.

ecology↗

bioRxiv2026

Evolution at experimental epidemic fronts speeds up parasite spread

Spreading epidemics can foster the rapid emergence of novel parasite variants. Similar to range expansions, parasites at the front of an epidemic wave may evolve traits facilitating their spatial spread. Typically, higher transmissibility and virulence are expected to evolve at the epidemic front, but predictions change if virulence reduces dispersal of infected hosts. We investigated the feedbacks between epidemiology and evolution in interconnected microcosms of the ciliate Paramecium caudatum and its bacterial parasite Holospora undulata. First, two long-term treatments mimicked the moving front of epidemic waves, with and without the natural dispersal of infected hosts. Phenotypic trait assays revealed an eco-to-evo feedback: front parasites (i.e., travelling with infected hosts) were less virulent and interfered less with host dispersal, but also showed higher infectivity, compared to parasites from the control treatment. Whole-genome resequencing and analyses of functional genomic diversity corroborated such phenotypic divergence. Second, measurement of the spread of evolved parasites in linear landscapes demonstrated an evo-to-eco feedback: front parasites produced stronger infection outbreaks and faster spreading epidemic waves than did control parasites. A simulation model assessed the relative importance of the different parasite traits in determining infectious spread over a broad parameter range. It suggests that, if dispersal is generally low, higher infectivity alone can produce the observed differences in epidemic spread speed. Our study illustrates how the need to travel with the host shapes eco-evolutionary feedbacks at parasite invasion fronts, and it highlights the importance of considering concomitant evolutionary change when predicting epidemic speed. Significance StatementWhen predicting disease spread across spatial scales it is fundamental to consider host dispersal, but also the concomitant evolution of parasite traits such as infectivity and virulence. We tested how dispersal constraints affect parasite evolution and epidemic spread in an aquatic model system, by combining experimental evolution, genetic analysis and mathematical modelling. Our results suggest that epidemics can be accelerated by the evolution of highly infectious, but not necessarily more virulent parasites, in contrast to conventional views. This illustrates the important role of eco-evolutionary feedback loops can play in shaping the spread of emerging or geographically expanding parasites.

evolutionary biology↗

bioRxiv2025

Unifying population structure and relatedness analysis through a coalescent approach

Standard methods in genome-wide association studies (GWAS) partition genetic similarity into recent familial relationship, modeled by a genetic relationship matrix (GRM), and distant relatedness, adjusted for using principal components (PCs). This practice relies on an implicit causal model that conflates population structure with confounding. Here, we challenge this approach by developing a unified framework grounded in coalescent theory. We introduce the Coefficient of Genealogical Similarity (GeSi), a statistic derived from a model of shared derived alleles that captures the full continuum of shared ancestry and can be estimated directly from genotype data. This leads to a new classification of GRMs into "full" matrices, which capture the complete genealogy, and "shallow" matrices, which measure only recent relatedness. Systematic benchmarking demonstrates that full GRMs are sufficient to model the genetic covariance from population structure, rendering PC adjustment for this purpose redundant. This finding clarifies that the justifiable role for PCs in such a model is to correct for true environmental or complex genetic confounders. Our analyses of empirical data confirm that including PCs can improve model fit, providing evidence that such confounding is present and correlated with axes of genetic variation. This work establishes a new theoretical framework that disentangles the modeling of genealogical relatedness from the correction of confounding, reframing the role of PCs as proxies for the latter and challenging the rationale for including the top PCs merely to capture maximal genetic variance.

genetics↗

bioRxiv2025

Enhanced mouse virulence of mpox virus clade Ib over clade IIb despite genomic changes caused by human-to-human transmission

The recently emerged clade Ib of mpox virus (MPXV) is spreading rapidly across Central and West Africa raising concerns about its potential virulence. Similar to clade IIb lineage B.1, which was responsible for the 2022 global outbreak, clade Ib exhibits sustained human-to-human transmission and a pattern of APOBEC3-associated genomic mutations. Here, we show that clade Ib displays enhanced cell-to-cell dissemination in vitro compared to clade IIb. Additionally, using the CAST mouse model, we show that clade Ib retains a higher level of virulence than that of the markedly attenuated clade IIb. Clade Ib leads to significant weight loss and high mortality in animals following both intraperitoneal and intranasal challenge. Histopathological analysis revealed more severe and extensive lung lesions in clade Ib-infected animals, accompanied by a broader distribution of viral antigens. Moreover, clade Ib, unlike IIb, disseminated efficiently to internal organs. These findings indicate that clade Ib MPXV has not undergone attenuation after human-to-human transmission to the extent observed in clade IIb and underscore the need for surveillance and preparedness against new emerging MPXV lineages.

microbiology↗

bioRxiv2025

DNA-Directed Assembly of Multivalent Lipid Nanoparticles for Targeted T Cell Gene Delivery

Lipid nanoparticles (LNPs) are a powerful emerging tool for in vivo T cell engineering with applications ranging from B cell lymphomas to other cancers and autoimmune diseases. Key challenges in designing these therapeutics include achieving both precise cell targeting and efficient mRNA translation. While single-targeted LNPs have been extensively studied, bispecific LNPs have only been briefly explored. Engagement of multiple T cell receptors offers the opportunity for enhanced mRNA delivery, expression, and T cell targeting. Here, a DNA-tethering method enables rapid modification of lipid nanoparticles with commercial antibodies. Using this strategy, we evaluated a variety of bispecific LNPs for targeted mRNA delivery to T cells both in vitro and in vivo. We identify bispecific formulations that improve targeting and subsequent transfection of T cells in vitro and in vivo relative to monotargeted LNPs. Additionally, we find that targeting molecules can alter LNP biodistribution to the spleen and liver. This fast and efficient approach to assembling antibody-targeted LNPs should enable high-throughput screening of diverse antibody combinations for improved specificity and efficiency of in vivo gene delivery. Significance StatementA major challenge in in vivo gene delivery is achieving both precise targeting and efficient mRNA translation. Multitargeted LNPs offer a potential solution to this challenge; however, their rapid assembly remains difficult, necessitating the development of new methods to construct and evaluate targeted LNPs. Here, we use a DNA-tethering method to enable rapid antibody modification of LNPs and evaluate bispecific formulations for targeted T cell mRNA delivery in vitro and in vivo. We find bispecific LNPs improve T cell targeting and expression compared to single-targeted particles. To the best of our knowledge, this study represents the first systematic screening and comparison of bispecific LNPs. Our method provides a modular approach for identifying effective antibody combinations to enhance in vivo gene delivery that can be customized for different undruggable diseases.

immunology↗

bioRxiv2025

CB2R-induced differentiation epigenetically restrains cancer plasticity enabling adaptive therapy

Cellular plasticity enables cancer cells to escape therapy by adopting stem-like or alternate lineage states. Here, we identify a mechanism by which cannabinoid receptor 2 (CB2R) activation promotes irreversible lineage commitment in breast cancer. Using patient-derived and murine organoids, we show that brief, low-dose exposure to CB2R agonists--either phytogenic or synthetic--induces a basal-to-luminal transition, accompanied by reduced self-renewal, invasiveness, and tumor-initiating potential. These changes are retained under conditions that normally promote dedifferentiation, including fibroblast co-culture, immune pressure, and mechanical shear stress. Mechanistically, CB2R engagement initiates a transient chromatin remodeling program, marked by early expression of pluripotency-associated genes followed by silencing and differentiation commitment. This epigenetically stabilized state renders tumor cells more responsive to tamoxifen and limits the emergence of resistant clones. Our findings uncover a previously unrecognized role for CB2R in modulating cancer cell identity and suggest new opportunities to constrain tumor plasticity by directing differentiation through a drug-responsive pathway.

cancer biology↗

bioRxiv2025

"Smurf Mice": revolutionising our understanding of age-related and end-of-life animal physiology

Living animals reach their end-of-life through a stereotypic set of fascinating but poorly understood processes. The discovery, first in flies and later in nematodes and zebrafish, of the "Smurf phenotype" is a central tool for picking this complex "lock of biology", that one of ageing. Using the Smurfs, we have shown an evolutionarily conserved end-of-life transition across Drosophilids, nematodes and zebrafish. This tool has been key to identify the discontinuous nature of ageing and predict impending death from natural causes as well as from environmental stresses. This phenotype allowed us to discover that ageing is made up of two successive phases : a first phase where individuals are healthy and have no risk of mortality, but show an age-dependent and increasing risk of entering a second phase, characterized by the so-called hallmarks of ageing and a high risk of death. Here, we test whether these two consecutive phases of ageing separated by the Smurf transition are a conserved feature of ageing in the mammals using Mus musculus as a model. We performed a longitudinal longevity study using both males and females from two different mouse genetic backgrounds and by integrating physiological, metabolic and molecular measurements with the life history of approximately 150 mice. We show the existence of a phenotypic signature typical of the last phase of life, observable at any chronological age. Validating the two-phase ageing model in a mammalian organism allows better characterized the high risk of imminent death and would extend its implications to a broader range of species for ageing research.

physiology↗

bioRxiv2025

Essentialome-Wide Multigenerational Imaging Reveals Mechanistic Origins of Cell Growth Laws

Escherichia coli is arguably the most thoroughly characterized organism, and yet [~]20% of its essential genes serve completely unknown functions,1,2 and many core quantitative physiological principles remain unexplained, including the famous nutrient growth law where cell volume seems to depend exponentially on growth rate. Here we develop a platform for massive, multi-generational Optical Pooled Screening (OPS)3-6, and apply it to link image-based phenotypes to genotypes for 133,000 CRISPRi knockdowns of essential genes, tracking tens of millions of lineages and analyzing 1.6 billion cells. Our multi-dimensional dynamic phenotypes correlate exceptionally well with known gene functions, allowing us to identify many unknown roles of essential genes. Quantifying the relation between growth and cell size in turn identifies three distinct variants of the bacterial growth laws, which we explain mechanistically by discovering a new role for (p)ppGpp and SpoT as a sensor of translation elongation. Finally, we propose and systematically test an exceedingly simple, passive mechanism for the nutrient growth law, based on triggering cell division through the accumulation of a protein that, unlike ribosomes, is not controlled by (p)ppGpp. The resulting hyperbolic growth law fits the data from our three variants even better than the previously proposed exponential relationship, and with fewer parameters.

systems biology↗

bioRxiv2025

Peruvian Population Genomics: Unraveling the Genetic Landscape and Admixture Dynamics of Urban Populations

Latin American populations exhibit high genetic and phenotypic diversity shaped by complex admixture histories, yet remain underrepresented in genomic research. Here, we analyze genome-wide data from 432 urban individuals across 13 regions of Peru, including 346 newly genotyped from the Peruvian Genome Project. We revealed fine-scale population structure and demographic patterns shaped by both ancient and recent events. Indigenous American ancestries in urban individuals trace back to ancient north-south interactions consisted with archaeological records, while admixture events occurring within the last 8-10 generations involved sources already admixed between distinct ancestral lineages. Identity-by-descent analyses reveal sustained gene flow in southern Peru, while effective population size trends highlight demographic stability in Lima over the past 25 generations. Sex-biased admixture patterns suggest Indigenous ancestry contribution preferentially mediated by females. These findings offer a comprehensive view of Perus genetic heritage, advancing our understanding of human genetic diversity and historical demographic processes in Latin America.

genetics↗

bioRxiv2025

Intracellular competition shapes plasmid population dynamics

Conflicts between levels of biological organization are central to evolution, from populations of multicellular organisms to selfish genetic elements in microbes. Plasmids are extrachromosomal, self-replicating genetic elements that underlie much of the evolutionary flexibility of bacteria. Evolving plasmids face selective pressures on their hosts, but also compete within the cell for replication, making them an ideal system for studying the joint dynamics of multilevel selection. While theory indicates that within-cell selection should matter for plasmid evolution, experimental measurement of within-cell plasmid fitness and its consequences has remained elusive. Here we measure the within-cell fitness of competing plasmids and characterize drift and selective dynamics. We achieve this by the controlled splitting of synthetic plasmid dimers to create balanced competition experiments. We find that incompatible plasmids co-occur for longer than expected due to methylation-based plasmid eclipsing. During this period of co-occurrence, less transcriptionally active plasmids display a within-cell selective advantage over their competing plasmids, leading to preferential fixation of silent plasmids. When the transcribed gene is beneficial to the cell, for example an antibiotic resistance gene, there is a cell-plasmid fitness tradeoff mediated by the dominance of the beneficial trait. Surprisingly, more dominant plasmid-encoded traits are less likely to fix but more likely to initially invade than less dominant traits. Taken together, our results show that plasmid evolution is driven by dynamics at two levels, with a transient, but critical, contribution of within-cell fitness.

evolutionary biology↗

bioRxiv2025

Computational detection, characterization, and clustering of microglial cells in a mouse model of fat-induced postprandial hypothalamic inflammation

Obesity is associated with brain inflammation, glial reactivity, and immune cells infiltration. Studies in rodents have shown that glial reactivity occurs within 24 hour of high-fat diet (HFD) consumption, long before obesity development, and takes place mainly in the hypothalamus (HT), a crucial brain structure for controlling body weight. Understanding more precisely the kinetics of glial activation of two major brain cells (astrocytes and microglia) and their impact on eating behavior could prevent obesity and offer new prospects for therapeutic treatments. To understand the mechanisms pertaining to obesity-related neuroinflammation, we developed a fully automated algorithm, NutriMorph. Although some algorithms were developed in the past decade to detect and segment cells, they are highly specific, not fully automatic, and do not provide the desired morphological analysis. Our algorithm cope with these issues and performs the analysis of cells images (here, microglia of the hypothalamic arcuate nucleus), and the morphological clustering of these cells through statistical analysis and machine learning. Using the k-Means algorithm, it clusters the microglia of the control condition (healthy mice) and the different states of neuroinflammation induced by high-fat diets (obese mice) into subpopulations. This paper is an extension and re-analysis of a first published paper showing that microglial reactivity can already be seen after few hours of high-fat diet (Cansell et al., 2021). Thanks to NutriMorph algorithm, we unravel the presence of different hypothalamic microglial subpopulations (based on morphology) subject to proportion changes in response to already few hours of high-fat diet in mice.

neuroscience↗

bioRxiv2024

Natural Variation in HIV-1 Entry Kinetics Map to Specific Residues and Reveal an Interdependence Between Attachment and Fusion

HIV-1 entry kinetics reflect the fluid motion of the HIV envelope glycoprotein through at least three major structural configurations that drive virus-cell membrane fusion. The lifetime of each state is an important component of potency for inhibitors that target them. We used the time-of-addition inhibitor assay and a novel analytical strategy to define the kinetics of pre-hairpin exposure (using T20) and co-receptor engagement (via. maraviroc), through a characteristic delay metric, across a variety of naturally occurring HIV Env isolates. Among 257 distinct HIV-1 envelope isolates we found a remarkable breadth of T20 and maraviroc delays ranging from as early as 30 seconds to as late as 60 minutes. The most extreme delays were observed among transmission-linked clade C isolates. We identified four single-residue determinants of late T20 and maraviroc delays that are associated with either receptor engagement or gp41 function. Comparison of these delays with T20 sensitivity suggest co-receptor engagement and fusogenic activity in gp41 act cooperatively but sequentially to drive entry. Our findings support current models of entry where co-receptor engagement drives gp41 eclipse and have strong implications for the design of entry inhibitors and antibodies that target transient entry states. Author Summary.The first step of HIV-1 infection is entry, where virus-cell membrane fusion is driven by the HIV-1 envelope glycoprotein through a series of conformational changes. Some of the most broadly active entry inhibitors work by binding conformations that exist only transiently during entry. The lifetimes of these states and the kinetics of entry are important elements of inhibitor activity for which little is known. We demonstrate a remarkable range of kinetics among 257 diverse HIV-1 isolates and find that this phenotype is highly flexible, with multiple single-residue determinants. Examination of the kinetics of two conformational landmarks shed light on novel kinetic features that offer new details about the role of co-receptor engagement and provide a framework to explain entry inhibitor synergy.

molecular biology↗