In the ciliate <i>Tetrahymena</i>, telomeres of the germline micronucleus (MIC) are removed and replaced by de novo telomere addition during somatic macronuclear (MAC) development. In this study, we investigated the kinetics and mechanism of the MIC telomere elimination. Comparison of the MIC and MAC genome sequences indicated that the MIC telomeres are excised from chromosomes as part of larger MIC-limited sequences (MLSs) through chromosomal breakage. We confirmed this using an optimized oligo-FISH protocol and found that their elimination occurs in parallel with other programmed DNA elimination processes. CRISPR-Cas9 disruption of a MLS-associated Chromosome Breakage Sequence (CBS) showed that elimination of the MLS was not blocked but instead led to loss of its adjacent MAC-destined sequence (MDS), suggesting abnormal co-elimination. In biparental crosses of the CBS mutant, however, both MLS and MDS were retained, DNA elimination was broadly disrupted, and no viable progeny were produced. These findings indicate that chromosome breakage at MLS-associated CBSs is essential for the proper separation of MLSs and MDSs, ensuring correct DNA elimination and successful sexual progeny development. We propose that the MIC telomere elimination is subsumed within the broader process of programmed DNA elimination.
Science Journals
This cohort study examines the association of sedentary behavior with adverse pregnancy outcomes, including hypertensive disorders of pregnancy, and the effects of light-intensity physical activity and daily steps on these outcomes.
This cross-sectional study uses data from cancer alliance regions in England to assess whether regional participation in a population-based screening trial of a cell-free DNA-based multicancer early detection test was associated with changes in cancer diagnostic delay rates.
<p>by Tomoo Owa, Toma Adachi, Ryo Shiraishi, Kentaro Ichijo, Kaiyuan Ji, Minami Mizuno, Kyoka Suyama, Kayo Nishitani, Ikuko Hasegawa, Masaki Sone, Daisuke Kawauchi, Tomoki Nishioka, Shinichiro Taya, Yutaka Suzuki, Kozo Kaibuchi, Satoshi Miyashita, Mikio Hoshino</p>
The development of the complex nervous system is strictly controlled by diverse isoforms produced from individual genes, but the underlying machinery remains unclear. Our long-read cDNA sequencing of mouse cerebellar granule cell progenitors (GCPs) identifies more than 700 genes with high isoform diversity. One such gene, <i>Meis1</i>, produces MEIS1-FL and MEIS1-HdL isoforms, which include and lack the homeodomain, respectively. Our previous study showed that MEIS1-FL localizes to nuclei and promotes ATOH1 protein degradation through transcriptional regulation, thereby promoting GCP differentiation. In contrast, our in vivo electroporation experiments in the postnatal mouse cerebellum show that MEIS1-HdL inhibits GCP differentiation. MEIS1-HdL localizes in the cytoplasm and inhibits the degradation of ATOH1 mediated by CUL3, which is a newly identified E3 ligase for ATOH1. MEIS1-HdL enhances the binding of the COP9 signalosome to CUL3, which suppresses ATOH1 polyubiquitination. This study demonstrates that functionally antagonistic isoforms derived from a single gene cleverly control neural progenitor differentiation.
The key elements for fear extinction learning are unexpected omissions of expected aversive events, which are considered to be rewarding. Given its reception of reward information, we tested the hypothesis that the cerebellum contributes to reward-like prediction error processing driving extinction learning via its connections with the ventral tegmental area (VTA). Forty-three young and healthy participants performed a three-day fear conditioning paradigm in a 7T MR scanner. The cerebellum and VTA were active during unexpected omissions of aversive unconditioned stimuli in the initial extinction trials and in other learning phases, in line with the proposed role of prediction-error processing. Increased functional connectivity was observed between the cerebellum and VTA, indicating that they are functionally coupled during fear extinction learning. These results suggest that an interaction between the cerebellum and VTA should be incorporated into the existing model of the fear extinction network.
Several theoretical studies have concluded that heterozygote advantage makes at most a minor contribution to MHC diversity. Siljestam and Rueffler (2024) recently presented models in which heterozygote advantage alone can lead to realistically high diversity. Here I argue that heterozygote advantage cannot by itself explain MHC diversity, and that its contribution to diversity is unlikely to be large in most species. I first show that the high diversity reported by Siljestam and Rueffler is so sensitive to parameter values that the underlying phenomenon cannot explain the widespread diversity of MHC genes. I then consider a fundamental problem with explaining MHC diversity by heterozygote advantage alone: selective forces that favored heterozygotes would lead to the evolution of haplotypes having much higher fitness when homozygous, diminishing or eliminating heterozygote advantage. Diversity maintained by another force, however, might bring about adaptation to the more common heterozygous state at the expense of homozygous fitness. Thus, substantial heterozygote advantage may arise as a consequence of MHC diversity.
Stress granules are large cytoplasmic bodies formed in response to environmental insults by eukaryotic cells. Stress granule formation is key for post-stress recovery, and many diseases and infections are characterized by dysregulation of these membraneless organelles. How specific and non-specific macromolecular interactions drive the formation of stress granules and other large assemblies is an area of active research. Stress granules are comprised of dense, ~200 nm cores, and these are known to contain numerous RNAs and proteins. Now, we have discovered that more than half of the nucleic acid content of stress granule cores is circular, double-stranded DNA. We demonstrate cytologically that these extrachromosomal circular DNAs (eccDNAs) colocalize cytoplasmically with canonical stress granule marker proteins in HEK293T cells, and through CRISPR targeting in budding yeast, that they are required for stress granule formation upon stress. This discovery thus reveals a key function for eccDNA in the eukaryotic stress response.
All living systems use an almost identical standard genetic code (SGC), in which 20 amino acids are assigned non-randomly. According to the error minimization theory, amino acids are arranged to minimize the mutational effect on protein function, while experimental verification remains limited. Here, we constructed 10 non-standard genetic codes (non-SGCs) in vitro by reassigning three amino acids (Ala, Ser, and Leu) in vacant codons of the minimal genetic code consisting of 21 tRNAs. Most of these non-SGCs have a higher cost of amino acid replacement than the SGC, calculated based on three amino acid properties: polar requirement (PR), molecular volume (MV), and hydropathy index (HI). The protein function of three reporter genes expressed using these non-SGCs decreased similarly when random mutations were introduced into the genes, implying that the effect of mutations was similar across all the non-SGCs tested here. This result provides direct experimental evidence that mutational robustness does not significantly change in individual reporter protein activity within the range of mutational cost tested in this study (Cost<sub>PR</sub>: 5.29–5.77, Cost<sub>MV</sub>: 1848–2348, and Cost<sub>HI</sub>: 3.27–5.10), which covers approximately 18.4% (PR), 37.6% (MV), and 50.8% (HI) of the possible cost range achievable among one million randomly-generated genetic codes.
<p>by Joey A. Charbonneau, Erin L. Rich</p>
Neuroeconomics has long focused on reward values, ignoring their identity. A new PLOS Biology study shows that identity-specific reward expectations in the lateral orbitofrontal cortex steer goal-directed choices through a motivational circuit involving the nucleus accumbens.
Neuroeconomics has long focused on reward values, ignoring their identity. This Primer explores a new study in PLOS Biology that shows that identity-specific reward expectations in lateral orbitofrontal cortex steer goal-directed choices through a motivational circuit involving nucleus accumbens.
<p>by Julien Benistant, Valentin Guigon, Alain Nicolas, Edmund Derrington, Jean-Claude Dreher</p>
Observing immoral behavior increases one’s dishonesty by social influence and learning processes. The neurocomputational mechanisms underlying such moral contagion remain unclear. We tested different mechanistic hypotheses to account for moral contagion. We used model-based fMRI and a new cheating game in which participants were sequentially placed in honest and dishonest social norm contexts. Participants’ cheating behavior increased in the dishonest norm context but was unchanged in the honest one. The best model to account for behavior indicated that participants’ valuation was dynamically biased by learning that others had cheated. At the group level, this valuation bias was not encoded by any specific brain region. Instead, this neural signal depended on individual differences in conformity, and engaged the bilateral lateral prefrontal cortex. During learning, simulation of others’ cheating behavior was encoded in the posterior superior temporal sulcus. Together, these findings provide a mechanistic understanding of how learning about others’ dishonesty biases individuals’ valuation of cheating but does not alter one’s established preferences.
Environmental changes necessitate adaptive responses, and thus the ability to monitor one’s actions and their connection to specific cues and outcomes is crucial for survival. The anterior cingulate cortex (ACC) is implicated in these processes, yet its precise role in action monitoring vs. outcome tracking remains unclear. To investigate this, we developed a novel discrimination–avoidance task for mice, designed with clear temporal separation between actions and outcomes. Our findings show that ACC neurons primarily encode post-action variables over extended periods, reflecting the animal’s preceding actions rather than the outcomes or values of those actions. Specifically, we identified two distinct subpopulations of ACC neurons: one encoding the action state (whether an action was taken) and the other encoding the action content (which action was taken). Importantly, increased post-action ACC activity was associated with better performance in subsequent trials. These findings suggest that the ACC supports complex associative learning through extended signaling of rich action-relevant information, thereby bridging cue, action, and outcome associations.
<p>by Phillip P. Witkowski, Noelle Henein, Nicole Moussa, Geoffrey Schoenbaum, Thorsten Kahnt</p>
Real-life decisions are typically directed toward specific types of rewards (e.g., a slice of pizza or a bowl of pasta), but reward identity is often neglected in neuroeconomic theories of decision-making. Previous research has shown that the lateral orbitofrontal cortex (lOFC) represents the specific rewards predicted by environmental cues. However, whether and how these expectations influence decision-making remains an open question. To address these questions in humans, we developed a novel behavioral task in which Pavlovian cues associated with specific rewards are presented before participants can make decisions to forage these rewards. Using pattern-based analysis of functional magnetic resonance imaging data, we show that cues predicting distinct reward types evoke identity-specific expectations in lOFC, which in turn predict subsequent choices. This effect is amplified by activity in the nucleus accumbens, which enhances the influence of lOFC reward expectations on action representations in the dorsal anterior cingulate cortex. These results connect representational and motivational accounts of decision-making, highlighting the neural mechanism by which expectations about reward identity guide goal-directed behavior.
Dipteran flight diversity is shaped by aerodynamic constraints, scaling, and evolutionary trade-offs
<p>by Camille Le Roy, Ilam Bharathi, Thomas Engels, Florian T. Muijres</p>
Flight has been a key innovation in insect evolution, yet the selective and mechanistic pressures shaping their flight motor systems remain poorly understood. Here, we present a comprehensive comparative analysis of flight in Diptera (true flies), integrating morphology, wingbeat kinematics, and aerodynamics within a phylogenetic framework. We quantified morphology in 133 species spanning the Dipteran phylogenetic and size range, and for a subset of 46 species, we combined high-speed stereoscopic videography with computational fluid dynamics (CFD) to characterize wingbeat kinematics and aerodynamic performance, respectively. Our results reveal that morphology is strongly structured by phylogeny, whereas wingbeat kinematics are broadly conserved across Diptera, reflecting dominant aerodynamic constraints. Two early-diverged lineages, Culicomorpha (mosquitoes and midges) and Tipulomorpha (crane flies), exhibit strikingly divergent kinematics and aerodynamics, suggesting lineage-specific selective pressures. Combining these data with scaling analyses shows that maintaining in-flight weight support across the dipteran size range requires systematic allometric adjustments in wing morphology, wingbeat kinematics, and flight musculature. Smaller dipterans achieve weight support through relatively larger wings and higher wingbeat frequencies, whereas larger dipterans achieve the same aerodynamic requirement through increased investment in flight musculature to sustain the necessary mechanical power output. These size-dependent trait combinations highlight how different morphological and kinematic adaptations evolved in response to the shared physical requirements of hovering flight across Diptera. Mosquitoes and midges represent an extreme case, exhibiting a pronounced aerodynamic–acoustic trade-off with disproportionately high wingbeat frequencies, large flight musculature and increased aerodyna…
Human planning is efficient – it frugally deploys limited cognitive resources to accomplish difficult tasks – and flexible – adapting to novel problems and environments. Computational approaches suggest that people construct simplified mental representations of their environment, balancing the complexity of a task representation with its utility. These models imply a nested optimisation in which planning shapes perception and perception shapes planning – but the perceptual and attentional mechanisms governing how this interaction unfolds remain unknown. Here, we harness virtual maze navigation to characterise how spatial attention controls which aspects of a task representation enter subjective awareness and are available for planning. We find that spatial proximity governs which aspects of a maze are available for planning and that when task-relevant information follows natural (lateralised) contours of attention, people can more easily construct simplified and useful maze representations. This influence of attention varies considerably across individuals, explaining differences in people’s task representations and behaviour. Inspired by the ‘spotlight of attention<i>’</i> analogy, we incorporate the effects of visuospatial attention into existing computational accounts of value-guided construal. Together, our work bridges computational perspectives on perception and decision-making to better understand how individuals represent their environments in aid of planning.
Accurately estimating relative transmission rates of SARS-CoV-2 variants remains a scientific and public health priority. Recent studies have used the sample proportions of different variants from genetic sequence data to describe variant frequency dynamics and relative transmission rates, but frequencies alone cannot capture the rich epidemiological behavior of SARS-CoV-2. Here, we extend methods for inferring the effective reproduction number of an epidemic using confirmed case data to jointly estimate variant-specific effective reproduction numbers and frequencies of co-circulating variants using cases and sequences across states in the United States from January 2021 to March 2022. Our method can be used to infer structured relationships between effective reproduction numbers across time series, allowing us to estimate fixed variant-specific growth advantages. We use this model to estimate the effective reproduction number of SARS-CoV-2 variants of concern and variants of interest in the United States, and to estimate consistent growth advantages of particular variants across different locations.
Attention deficit hyperactivity disorder (ADHD) affects 5–7% of children worldwide, yet diagnosis continues to rely on clinical-behavioral assessments. The theta/beta ratio (TBR) derived from electroencephalography (EEG) has long been proposed as a complementary neurobiological marker of ADHD based on reports of elevated TBR in affected children. However, accumulating evidence has raised concerns about the robustness and generalizability of these findings, pointing to a strong sensitivity to methodological choices. Here, we used multiverse analyses to systematically quantify how researcher degrees of freedom shape conclusions about associations between TBR and ADHD. Across two large, independent datasets (Healthy brain network: N=1499; validation sample: N=381), we evaluated 576 theoretically plausible analytical specifications, varying recording conditions, reference scheme, frequency band definitions, treatment of aperiodic (1/f) activity, regions of interest, sample inclusion criteria, and covariate specifications. Across the multiverse, we found that group differences in TBR were highly contingent on analytical choices, with no evidence for robust main effects of diagnosis, indicating no reliable differences between healthy controls, ADHD-inattentive, and ADHD-combined subtypes. Instead, significant effects emerged primarily as interactions with age and individual alpha frequency (IAF), particularly when TBR was derived from aperiodic-uncorrected power or from the aperiodic signal itself. These interaction patterns replicated across both independent samples and were observed using both categorical and dimensional definitions of ADHD. Together, these findings indicate that previously reported TBR effects are largely driven by variability in aperiodic activity and IAF rather than genuine differences in oscillatory theta-beta dynamics. Our results challenge the interpretation of TBR as a reliable standalone biomarker for ADHD and underscore the importance of mul…
Astronauts consistently exhibit slower movements in microgravity, even during tasks requiring rapid responses. The sensorimotor mechanisms underlying this general slowing remain debated. Two hypotheses have been proposed: either the sensorimotor system adopts a conservative control strategy for safety and postural stability, or the system underestimates body mass due to reduced inputs from proprioceptive receptors. To dissociate these opinions, we studied 12 taikonauts aboard the China Space Station performing a classical hand-reaching task. Compared to their pre-flight performance and to an age-matched control group, participants showed increased movement durations and altered kinematic profiles in microgravity. Model-based analyses of motor control parameters revealed that these changes stemmed from reduced initial force generation in the feedforward control phase followed by compensatory feedback-based corrections. These findings provide support for the body mass underestimation hypothesis while being inconsistent with the strategic slowing hypothesis. Importantly, the sensory estimate of bodily property in microgravity is biased but immune from sensorimotor adaptation, calling for an extension of existing theories of motor learning.
Chen H, Sun L, Feng L, Han X, Zhang Y, Zhai W, Zhang Z, Mulholland M, Zhang W, Yin Y. 2024. Intermittent fasting promotes type 3 innate lymphoid cells secreting IL-22 contributing to the beigeing of white adipose tissue. eLife 12:RP91060. doi: 10.7554/eLife.91060.
Published 27 March 2024
We were alerted via PubPeer to instances of image duplication in Figure 5G, Figure 1E, and Figure 1K. Upon further internal review of related panels, we also identified similar issues in the insets of Figure 5G and Figure 2G. We sincerely regret these errors, which we attribute to mistakes during the image selection process—specifically during the selection of raw files and the subsequent assembly of figures from original images. Upon thorough re-examination of our raw data and experimental records, we confirm that these issues resulted from human errors during image processing and figure assembly, rather than experimental fraud or intentional misconduct. These errors do not affect the overall conclusions of the study.
1. Figure 5G
This panel contained two errors: both the main panel and the inset for IL-22RKO-IF sWAT were duplicated (with rotation) from the WT-IF eWAT dataset. Our audit confirms that the eWAT histology images were correctly derived from the scanning files of WT-IF mice. The sWAT image in article for IL-22RKO-IF mice was mistakenly selected from the same group of pictures exported from the same raw scanning file of WT-IF eWAT section. Two different magnifications were selected as the main panel and inset. We have replaced the incorrect image with the authentic IL-22RKO-IF sWAT data. Re-analysis of the original tissue sections yielded consistent results, supporting our original conclusion: WT-IF mice exhibit typical beiging of sWAT under intermittent fasting, whereas knockout of IL-22R significantly attenuates the increment of multilocular lipid droplets and the decrement of adipocyte size in subcutaneous fat induced by intermittent fasting.
2. Figures 1E and 1K
T…
Chantreau M, Poux C, Lensink MF, Brysbaert G, Vekemans X, Castric V. 2019. Asymmetrical diversification of the receptor-ligand interaction controlling self-incompatibility in Arabidopsis. eLife 8:e50253. doi: 10.7554/eLife.50253.
Published 25 November 2019
We recently noticed that the published version of our article contains a duplication of the two top panels of Figure 3. The version in the original manuscript for the first round of review was correct and contained no duplication, and the duplication error was introduced when the revised manuscript was submitted for assessment due an error in the script used for visualization. The original published data remain unchanged (Figure 3—source data 1). The R script used to create the new figure has been deposited on github (https://github.com/vincentcastric/AncestralResurrection). The modification does not alter any of the conclusions and the main text thus remains unchanged.
The corrected Figure 3 (upper left panel corrected) is shown here:
The originally published Figure 3 is shown for reference:
The article has been corrected accordingly.
Author details
© 2026, Chantreau et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
-
- 0
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Funding agencies use a variety of mechanisms to fund research. The National Institutes of Health in the United States, for example, employs scientists to perform research at its own laboratories (intramural research), and it also awards grants to pay for research at external institutions such as universities (extramural research). Here, using data from 1594 intramural grants and 97,054 extramural grants funded between 2009 and 2019, we compare the scholarly outputs from these two funding mechanisms in terms of number of publications, Relative Citation Ratio, and clinical metrics. We find that extramural awards are more cost-effective for producing outputs commonly used for academic evaluation, such as publications and citations (per dollar), while intramural awards are more cost-effective for generating research that influences future clinical work, more closely in line with the agency’s health goals. These findings provide evidence that institutional incentives associated with different funding mechanisms drive their comparative strengths.
The cerebral cortex is a multi-layered structure generated through the migration of neural precursors from their birthplace in the ventricular zone to their destination within the cortical plate. Neuronal migration defects are responsible for many human pathologies collectively called neuronal migration disorders, which include subcortical band heterotopia and cobblestone brain (COB) malformation. One example of a protein involved in a neuronal migration disorder is the echinoderm microtubule-associated protein-like 1 (EML1) protein, one of six members of the mammalian EML family. Absence of EML1 protein results in subcortical band heterotopia in mice and humans. Here, we report that the absence of the paralogous protein EML3 leads to delayed embryonic development and small size, and a COB-like phenotype with neuronal ectopias in the dorsal telencephalon. We found that EML3 is expressed in the neuroepithelium and meningeal mesenchyme when those tissues participate in pial basement membrane (PBM) formation. Transmission electron microscopy demonstrated that the extracellular matrix of the PBM is structurally abnormal in <i>Eml3</i> null mice when the first radially migrating neurons arrive. The reduced structural integrity of the PBM leads to focal over-migration of neurons into the subarachnoid space. These findings strengthen the link between the EML protein family and cortical neuronal migration defects by identifying <i>Eml3</i> as the first EML family member whose absence leads to over-migration of neuroblasts. Moreover, we report the first COB-like phenotype with PBM structural defects when a single microtubule-associated protein is deleted.
Viral infection triggers a robust DNA damage response (DDR), reshaping the host chromatin landscape to facilitate viral replication. Here, we uncover a novel mechanism by which alphaherpesviruses exploit the DDR pathway. We demonstrated that herpes simplex virus 1 (HSV-1) and pseudorabies virus (PRV) induced selective degradation of class I histone deacetylases (HDAC1/2), leading to histone hyperacetylation and subsequent DDR activation. Strikingly, viral infection promoted nuclear export of HDAC1/2, followed by MDM2-mediated K63-linked polyubiquitination and proteasomal degradation in the cytoplasm. Pharmacological inhibition of either DDR signaling or HDAC1/2 nuclear export significantly affected viral replication in vitro and in vivo. Our findings reveal a unique viral strategy to hijack host epigenetic regulation for efficient replication, and identify potential therapeutic targets for alphaherpesvirus infections.
<p>by HanHee Lee, Jimmy J. Fraigne, John H. Peever</p>
The sleep-wake cycle is generated by competing neural circuits that control the oscillation between wakefulness, rapid eye movement (REM) sleep, and non-REM (NREM) sleep. While the sublaterodorsal tegmental nucleus (SLD) is recognized for its role in REM sleep generation, the functional contribution of its GABAergic neurons (SLD<sup>GABA</sup>) to sleep-wake regulation remains poorly understood. Here, we found that SLD<sup>GABA</sup> neurons function as a suppressor of wakefulness in both healthy (i.e., <i>orexin</i><sup>+/+</sup>) and narcoleptic (i.e., <i>orexin</i><sup>−/−</sup>) mice. In healthy mice, optogenetic silencing of SLD<sup>GABA</sup> neurons rapidly induced robust wakefulness, while enhancing cortical and motor activity. Conversely, optogenetic activation of these neurons suppressed wakefulness and promoted NREM sleep. We found traces of SLD<sup>GABA</sup> axonal projections to wake-promoting brain regions, providing an anatomical basis for their wake-suppressing effects. Importantly, we discovered that SLD<sup>GABA</sup> neurons play a pathological role in narcolepsy: their activation in orexin-deficient narcoleptic mice triggered characteristic sleep attacks—rapid intrusions of NREM sleep during active wakefulness—while silencing these neurons rescued animals from both sleep attacks and cataplexy. Collectively, these findings establish SLD<sup>GABA</sup> neurons as a key regulator of arousal state transitions and identify them as a novel therapeutic target for the treatment of narcolepsy.
Amino acids play critical roles in the activation and function of lymphocytes. Here we show that the non-essential amino acid, asparagine, is essential for optimal activation and proliferation of CD4<sup>+</sup> T cells. We demonstrate that asparagine depletion at different time points after CD4<sup>+</sup> T cell activation reduces mitochondrial membrane potential and function. Furthermore, asparagine depletion at specific time points during CD4<sup>+</sup> T cell differentiation reduces cytokine production in multiple CD4<sup>+</sup> T cell subsets. In an adoptive transfer model of experimental autoimmune encephalomyelitis (EAE), myelin oligodendrocyte-specific pathogenic T helper 17 cells differentiated under Asn-deficient conditions exhibited reduced encephalitogenic potential and attenuated EAE severity. In a model of EAE induced by active immunization, therapeutic depletion of extracellular Asn significantly reduced disease severity. These results identify asparagine as a key metabolic regulator of the pathogenicity of autoreactive CD4<sup>+</sup> T cells and suggest that targeting asparagine metabolism may be a novel therapeutic strategy for autoimmunity.
Lenacapavir (LEN) is the first human immunodeficiency virus type 1 (HIV-1) capsid inhibitor approved for clinical use in humans. It inhibits multiple steps of the viral life cycle; however, the molecular details of the effect of LEN on capsid structure and the mechanistic steps of the inhibition are not understood. Recent studies show that intact cone-shaped capsids and capsids with LEN-induced breaks can dock at nuclear pore complexes (NPCs), but only intact capsids enter the nucleus. In this work, we combined large-scale coarse-grained molecular dynamics simulations and live-cell imaging to investigate the stepwise mechanism of docking of LEN-treated capsids into the NPC. Capsids bound to substoichiometric concentrations of LEN can reach the NPC central channel. As the capsid advances to the nuclear end, lattice defects are formed at the pentamer-hexamer interface – primarily at the narrower end – leading to pentamer dissociation. Dissociation of pentamers is detrimental to capsid integrity, leading to both rupture of the narrow end and destabilization of the hexamer-hexamer interface. Structural analysis of LEN-capsid complexes in our simulations demonstrates heterogeneous hyperstabilization and loss of the essential pliability of the capsid protein lattice. Live-cell imaging of HIV-1 cores labeled with two different fluorescent markers showed that LEN-treated ruptured capsids were docked at the NPC but were not imported into the nucleus. We conclude that LEN contributes to the loss of capsid elasticity and integrity, inhibiting HIV-1 nuclear entry and replication. Our findings demonstrate that altering viral material properties can be an effective strategy for designing human antiviral drugs.