Biology subjects

Chakraborty, A. K.

Publications and source records attributed to Chakraborty, A. K..

At least 19 recordsLinked to original sources

bioRxiv2026

Biophysical properties of IgD determine thresholds for self-tolerance and selection into germinal centers

Immunoglobulin D (IgD) is among the most conserved antibody isotypes, found in virtually all jawed vertebrates1. Unlike other isotypes, IgD contains an unusually long hinge region of up to 160 amino acids that connects the constant and variable regions. Its expression pattern is also conserved; IgD is co-expressed with IgM on transitional and mature naive B cells. However, the function of IgD has remained enigmatic since its discovery in 19652,3. Here we present and test a biophysical model positing that IgD increases the entropic cost of bivalent antigen binding. Single-molecule measurements revealed that the antigen-binding arms of IgD are substantially more dynamic than those of IgM, suggesting that cell surface IgD would be energetically penalized in bivalent antigen binding. Consistent with the model and biophysical data, we find that the long hinge compromises antigen capture by IgD B cell receptors (BCRs) compared to IgM BCRs. To determine how the difference in antigen binding impacts immunity, we produced mice that express only IgM and IgD, exclusively IgM or IgD, or IgD with a truncated hinge region. The data indicate that the increased entropic cost of antigen binding imposed by the IgD hinge attenuates negative selection by self-antigen while increasing the affinity-based threshold for positive selection into the germinal center (GC). Together the results indicate that IgD functions physiologically to desensitize B cells to antigen, thereby expanding the B cell repertoire while optimizing affinity-based selection into the GC.

immunology↗

bioRxiv2026

LAT condensation gates PLCγ1 activation via bimodal LAT phosphorylation

T cells can respond to even a single molecular binding event of antigen to a TCR. A key step in the TCR signaling pathway that definitively exhibits this single molecule response is the initiation of calcium influx by activation of PLC{gamma}1 in the LAT protein condensate. Here, we describe detailed kinetic measurements examining how protein condensation of LAT regulates activation of PLC{gamma}1 using a reconstituted membrane system. The results reveal that membrane recruitment of PLC{gamma}1 is tightly controlled by the LAT phosphorylation state, with no measurable independent recruitment to PIP2 or PIP3 lipids via the PLC{gamma}1 PH domains. We further observe PLC{gamma}1 is rapidly activated by membrane-associated kinase upon recruitment, irrespective of the LAT condensation state. These studies also revealed a crosstalk mechanism in which the TEC family kinases responsible for PLC{gamma}1 activation also phosphorylate LAT. This interaction establishes a positive feedback loop in LAT phosphorylation, mediated through LAT condensation, which drives a bimodal LAT phosphorylation response to TCR activation. Kinetic modeling reveals how this LAT phosphorylation response can cooperatively gate PLC{gamma}1 activation from a single TCR. These results suggest the LAT condensate facilitates both signal amplification and noise suppression in PLC{gamma}1 activation through a bimodal switch affecting LAT phosphorylation. Significance StatementT cells are sensitive sensors capable of detecting and responding to trace amounts of foreign antigen. Understanding how they achieve such sensitivity while maintaining accurate antigen discrimination remains a key challenge. Here, through detailed kinetic measurements of PLC{gamma}1 activation, we identify a cross reactivity in which kinases responsible for PLC{gamma}1 phosphorylation also phosphorylate LAT. This creates a bimodal switch controlling LAT phosphorylation levels, which gates PLC{gamma}1 activation from single TCR signals. We suggest this mechanism plays a key role in the signal amplification and noise suppression required for T cells to detect single antigen molecules.

biophysics↗

bioRxiv2026

Interplay between the immune response and the adaptation of metabolic pathways upon infection

Glucose is the principal metabolic fuel for the energy needs of most cell types. Upon infection, cytokines secreted by the immune system regulate redistribution of glucose to meet new metabolic needs associated with clearing the pathogen. We develop a mathematical model to describe the dynamics of such adaptation of metabolic pathways mediated by the immune response and its impact on the ability to clear pathogen and restore health. We find that cytokine-regulated redistribution of glucose resources in different tissues is critical for an effective immune response to pathogen as strictly clamping plasma glucose levels to homeostatic levels results in an ineffective immune response. By studying the effects of various parameters in our model, we describe how aberrant regulation of adaptation mechanisms affect outcomes of infection. Too high a glucose consumption rate by innate immune cells to mediate functions results in failure to clear pathogen. Pathogens with a very high replication rate can be controlled to low levels, but at a very high metabolic cost. Too low a pathogen replication rate allows the pathogen to hide from the immune system and rebound to high levels at later times. Finally, the strength of the innate immune response must be regulated to not be too high, not only to limit immunopathogenesis, but also for mediating an effective adaptive immune response.

immunology↗

bioRxiv2025

A unifying model of LAT condensates in reconstitution experiments

The formation of condensates by the Linker for the Activation of T-cells (LAT) is a key signal gating and amplification step in the T-cell receptor signaling pathway. LAT condensation is challenging to study in-vivo and is therefore often investigated using reconstitution experiments. While these experiments recapitulate key aspects of LAT condensation, they also exhibit some puzzling features. Here, we describe the mechanisms underlying these observations using two complementary models. First, we employ a Smoluchowski aggregation model to show that the delay time before condensation is observed arises from a low effective binding probability between LAT monomers. Second, we propose a field-theoretic model that reproduces all condensate morphologies observed in experiments, showing that they can arise from common underlying dynamics modulated by variations in experimental conditions. This result unifies different experimental observations reported previously. While this article addresses open questions regarding the formation of LAT condensates, our results also provide a common framework for understanding condensation of other multivalent membrane proteins such as EGFR, FGFR2, and nephrin.

biophysics↗

bioRxiv2025

A Humanized Mouse Model of Oral Squamous Cell Carcinoma for Investigating Resistance to Anti-PD1 Immunotherapy

Immunotherapy has transformed cancer therapeutics; however, its impact on oral squamous cell carcinoma (OSCC) remains limited due to acquired resistance, including to Pembrolizumab. To better understand this challenge, we develop a humanized mouse model using immune-deficient NCG mice engrafted with human peripheral blood mononuclear cells (hPBMC), followed by orthotopic implantation of head and neck squamous cell carcinoma (HNSCC) stem cells. This model closely mimics the human tumor-immune microenvironment, showing aggressive tumor growth and metastasis. Pembrolizumab treatment significantly decreases CD8+ T cells, dendritic cells, and MHC-class-I expression at tumor sites, which are related to immunotherapy resistance. Further, pembrolizumab treatment confirms the elevated PD-L1 levels, immune evasion pathways and downregulation of MHC-class-I. qPCR further validates human-specific HLA expression. Our model offers a valuable tool for studying immunotherapy resistance and advancing treatment strategies in OSCC and could be useful for other cancers.

cancer biology↗

bioRxiv2025

Unique TMJ-specific transcriptomic signature and its medial layer: Implications in osteoarthritis

ObjectivesOsteoarthritis (OA) is a debilitating joint disease that affects millions of people worldwide, with the temporomandibular joint (TMJ) and knee joint being prominently affected. Despite its prevalence, TMJ-OA remains understudied. This study aimed to investigate the transcriptional signature of the TMJ compared to that of the knee joint and to explore transcriptional differences in the medial and superficial layers of the TMJ-OA. DesignSix-month-old C57BL/6J mice TMJ and knee samples were collected. Goat TMJ superficial and medial layer cartilage was separated and treated with IL-1{beta}. All samples were subjected to bulk RNA sequencing followed by differential expression and gene set enrichment analysis. ResultsWe identified 4,031 protein-coding genes differentially expressed in the TMJ compared to the knee, with significant enrichment of neuronal system genes and lower enrichment of innate immune system genes. Key osteoarthritis biomarkers such as Mmp13, Postn, and Col1a1 were more highly expressed in the TMJ, indicating a higher vulnerability to OA development. IL-1{beta} treatment in goat TMJ chondrocytes mimicked the natural TMJ-OA-like transcriptional changes and immune responses, which are also observed in the rabbit TMJ-OA model. This validated the in vitro goat TMJ-OA model. The IL-1{beta}-treated goat TMJ medial cartilage layer was enriched in OA-associated transcription factors (TFs), senescence genes, and epigenetic regulators. ConclusionOur study demonstrated the unique transcriptomic signature of the TMJ compared with the knee joint, highlighting its vulnerability to OA and pain. These findings provide valuable insights into the molecular mechanisms of TMJ and offer a resource for potential therapeutic target selection for TMJ-OA treatment. HighlightsO_LISignificant enrichment of neuronal system genes and lower enrichment of innate immune system genes in temporomandibular joint. C_LIO_LIKey osteoarthritis biomarkers such as Mmp13, Postn, and Col1a1 have higher expression in temporomandibular joint, indicating a higher vulnerability to osteoarthritis development. C_LIO_LIInterleukin-1beta treatment in goat temporomandibular joint medial layer cartilage mimics natural temporomandibular joint osteoarthritis-like transcriptional changes and immune responses observed in rabbit temporomandibular joint osteoarthritis model. C_LI

molecular biology↗

bioRxiv2025

LOXL2 Deletion Triggers TMJ Osteoarthritis While Overexpression Protects Against NF-κB-Induced Chondrocyte Apoptosis

Temporomandibular joint osteoarthritis (TMJ-OA) affects a significant proportion of the population worldwide. However, there has been no substantial progress in the development of FDA-approved drugs for treatment due to a lack of understanding of the specific factors regulating key TMJ-OA molecular mechanisms. Lysyl Oxidase Like-2 (LOXL2) promotes knee joint cartilage protection, and it is downregulated in TMJ-OA animal model. We evaluated the role of LOXL2 in TMJ cartilage, its molecular mechanism and gene networks using in vivo Loxl2 knockout mice (Acan-Cre; Loxl2flox/flox) and ex vivo goat TMJ cartilage. Our results show that Loxl2 knockout in mice cartilage upregulates Il1b, Mmp9, Mmp13, Adamts4, and Adamts5, whereas it reduces the levels of aggrecan and proteoglycan. Loxl2 deleted TMJ cartilage show a higher enrichment of inflammatory response, TNFA signaling via NF-kB, extracellular matrix (ECM), and collagen degradation pathway network. Conversely, LOXL2 treatment reduces interleukin-1 beta (IL-1{beta})-induced expression of Mmp13, protects mitochondrial function and ECM from degeneration. Importantly, LOXL2 attenuates IL-1{beta}-induced chondrocyte apoptosis via phosphorylation of NF-{kappa}B and expression of pain-related gene PTGS2 (encodes COX2). Taken together, Loxl2 knockout mice exacerbate TMJ-OA through cartilage/ECM degradation, mitochondrial dysfunction, chondrocyte apoptosis, and inflammatory gene expression, whereas LOXL2 treatment mitigates these effects. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/653519v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@cb7540org.highwire.dtl.DTLVardef@17ebe2eorg.highwire.dtl.DTLVardef@1f7fd59org.highwire.dtl.DTLVardef@19fdd7_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

LOXL2 alleviates post-traumatic knee osteoarthritis and pain

Cartilage has limited potential for self-regeneration, and damage can lead to structural, molecular, and functional aberrations, leading to osteoarthritis (OA). Traumatic knee injuries can also lead to cartilage degeneration and post-traumatic OA (PTOA). This study aimed to explore whether lysyl oxidase-like 2 (LOXL2) deletion promotes PTOA-induced transcriptional changes similar to those in human OA, as well as the upregulation of collagen degradation, inflammation, and pain-related gene networks. LOXL2 was found to be downregulated in mouse knee PTOA. Aggrecan promotes specific deletion of Loxl2 in knee cartilage, shows OA-like molecular changes, and aggravates mouse PTOA. Furthermore, transcriptional analysis revealed the upregulation of cartilage degeneration factors, signatures of inflammatory M1 macrophages, and pain. These Loxl2 deleted PTOA mice have a molecular resemblance to the human knee OA pathogenic gene signature, which could lead to OA and pain. Interestingly, intra-articular injection of adenovirus-delivered LOXL2 rescued knee joint function, alleviated cartilage degeneration, restored treadmill-running capabilities, and reduced mechanical allodynia by relieving knee joint disability and pain. Taken together, LOXL2 deletion in mice knee promotes the severity PTOA, similar to human OA, implying its potential as a therapeutic candidate for human PTOA.

molecular biology↗

bioRxiv2025

LSD1 inhibition corrects dysregulated MHC-I and dendritic cells activation through IFNγ-CXCL9-CXCR3 axis to promote antitumor immunity in HNSCC

Poor infiltration of CD8+ T cells and dysregulated MHC-I confer resistance to anticancer clinical therapies. This study aimed to elucidate the mechanisms of lysine-specific demethylase 1 (LSD1, encoded by KDM1A gene) in antitumor immunity in Head and Neck Squamous cell carcinoma (HNSCC). LSD1 inhibition in syngeneic and chronic tobacco carcinogen-induced HNSCC mice recruited activated dendritic cells (DCs), CD4+ and CD8+ T cells, enriched interferon-gamma (IFN{gamma}) in T cells, CXCL9 in DCs, and CXCR3 in T cells, as evaluated using flow cytometry and single-cell RNA-seq analysis. Humanized HNSCC mice and TCGA data validated the inverse correlation of KDM1A with DC markers, CD8+ T cells, and their activating chemokines. Kdm1a knockout in mouse HNSCC and LSD1 inhibitor treatment to co-culture of human HNSCC cells with human peripheral blood mononuclear cells (PBMCs) resulted in MHC-I upregulation in cancer cells for efficient antigen presentation in tumors. Overall, LSD1 inhibition in tumor cells upregulates MHC class I and induces DCs to produce CXCL9, which in turn activates CD8+ T cells through the CXCL9-CXCR3 axis to produce IFN{gamma}. Finally, we identified a novel mechanism by which LSD1 inhibition promotes the activation of H3K4me2 and its direct interaction with MHC-I to induce antitumor immunity. This may have implications in poorly immunogenic and immunotherapy-resistant cancers. Statement of SignificanceLSD1-mediated unique mechanisms have impact on epigenetic therapy, MHC-I resistant HNSCC therapies, and poor CD8+ and dendritic cell infilterated tumors.

cancer biology↗

bioRxiv2025

Mechanism for evolution of diverse autologous antibodies upon broadly neutralizing antibody therapy of people with HIV

Antiretroviral therapy (ART) inhibits Human Immunodeficiency Virus (HIV) replication to maintain undetectable viral loads in people living with HIV, but does not result in a cure. Due to the significant challenges of lifelong ART for many, there is strong interest in therapeutic strategies that result in cure. Recent clinical trials have shown that administration of broadly neutralizing antibodies (bnAbs) when there is some viremia can lead to ART-free viral control in some people; however, the underlying mechanisms are unclear. Our computational modeling shows that bnAbs administered in the presence of some viremia promote the evolution of autologous antibodies (aAbs) that target diverse epitopes of HIV spike proteins. This "net" of polyclonal aAbs could confer control since evasion of this response would require developing mutations in multiple epitopes. Our results provide a common mechanistic framework underlying recent clinical observations upon bnAb/ART therapy, and they should also motivate and inform new trials.

immunology↗

bioRxiv2024

RNA gradients can guide condensates toward promoters: implications for enhancer-promoter contacts and condensate-promoter kissing

We study how protein condensates respond to a site of active RNA transcription (i.e., a gene promoter) due to electrostatic protein-RNA interactions. Our results indicate that condensates can show directed motion towards the promoter, driven by gradients in the RNA concentration. Analytical theory, consistent with simulations, predicts that the droplet velocity has a non-monotonic dependence on the distance to the promoter. We explore the consequences of this gradient-sensing mechanism for enhancer-promoter (E-P) communication using polymer simulations of the intervening chromatin chain. Directed motion of enhancer-bound condensates can, together with loop extrusion by cohesin, collaboratively increase the enhancer-promoter contact probability. Finally, we investigate under which conditions condensates can exhibit oscillations in their morphology and in the distance to the promoter. Oscillatory dynamics are caused by a delayed response of transcription to condensate-promoter contact and negative feedback from the accumulation of RNA at the promoter, which results in charge repulsion.

biophysics↗

bioRxiv2024

Active RNA synthesis patterns nuclear condensates

Biomolecular condensates are membraneless compartments that organize biochemical processes in cells. In contrast to well-understood mechanisms describing how condensates form and dissolve, the principles underlying condensate patterning - including their size, number and spacing in the cell - remain largely unknown. We hypothesized that RNA, a key regulator of condensate formation and dissolution, influences condensate patterning. Using nucleolar fibrillar centers (FCs) as a model condensate, we found that inhibiting ribosomal RNA synthesis significantly alters the patterning of FCs. Physical theory and experimental observations support a model whereby active RNA synthesis generates a non-equilibrium state that arrests condensate coarsening and thus contributes to condensate patterning. Altering FC condensate patterning by expression of the FC component TCOF1 impairs ribosomal RNA processing, linking condensate patterning to biological function. These results reveal how non-equilibrium states driven by active chemical processes regulate condensate patterning, which is important for cellular biochemistry and function.

biophysics↗

bioRxiv2024

Designed mosaic nanoparticles enhance cross-reactive immune responses in mice

Using computational methods, we designed 60-mer nanoparticles displaying SARS-like betacoronavirus (sarbecovirus) receptor-binding domains (RBDs) by (i) creating RBD sequences with 6 mutations in the SARS-COV-2 WA1 RBD that were predicted to retain proper folding and abrogate antibody responses to variable epitopes (mosaic-2COMs; mosaic-5COM), and (ii) selecting 7 natural sarbecovirus RBDs (mosaic-7COM). These antigens were compared with mosaic-8b, which elicits cross-reactive antibodies and protects from sarbecovirus challenges in animals. Immunizations in naive and COVID-19 pre-vaccinated mice revealed that mosaic-7COM elicited higher binding and neutralization titers than mosaic-8b and related antigens. Deep mutational scanning showed that mosaic-7COM targeted conserved RBD epitopes. Mosaic-2COMs and mosaic-5COM elicited higher titers than homotypic SARS-CoV-2 Beta RBD-nanoparticles and increased potencies against some SARS-CoV-2 variants than mosaic-7COM. However, mosaic-7COM elicited more potent responses against zoonotic sarbecoviruses and highly mutated Omicrons. These results support using mosaic-7COM to protect against highly mutated SARS-CoV-2 variants and zoonotic sarbecoviruses with spillover potential.

immunology↗

bioRxiv2023

Two-dose "extended priming" immunization amplifies humoral immune responses by synchronizing vaccine delivery with the germinal center response

"Extended priming" immunization regimens that prolong exposure of the immune system to vaccines during the primary immune response have shown promise in enhancing humoral immune responses to a variety of subunit vaccines in preclinical models. We previously showed that escalating-dosing immunization (EDI), where a vaccine is dosed every other day in an increasing pattern over 2 weeks dramatically amplifies humoral immune responses. But such a dosing regimen is impractical for prophylactic vaccines. We hypothesized that simpler dosing regimens might replicate key elements of the immune response triggered by EDI. Here we explored "reduced ED" immunization regimens, assessing the impact of varying the number of injections, dose levels, and dosing intervals during EDI. Using a stabilized HIV Env trimer as a model antigen combined with a potent saponin adjuvant, we found that a two-shot extended-prime regimen consisting of immunization with 20% of a given vaccine dose followed by a second shot with the remaining 80% of the dose 7 days later resulted in increased total GC B cells, 5-10-fold increased frequencies of antigen-specific GC B cells, and 10-fold increases in serum antibody titers compared to single bolus immunization. Computational modeling of the GC response suggested that this enhanced response is mediated by antigen delivered in the second dose being captured more efficiently as immune complexes in follicles, predictions we verified experimentally. Our computational and experimental results also highlight how properly designed reduced ED protocols enhance activation and antigen loading of dendritic cells and activation of T helper cells to amplify humoral responses. These results suggest that a two-shot priming approach can be used to substantially enhance responses to subunit vaccines.

immunology↗

bioRxiv2023

How persistent infection overcomes peripheral tolerance mechanisms to cause T cell-mediated autoimmune disease

T cells help orchestrate immune responses to pathogens, and their aberrant regulation can trigger autoimmunity. Recent studies highlight that a threshold number of T cells (a quorum) must be activated in a tissue to mount a functional immune response. These collective effects allow the T cell repertoire to respond to pathogens while suppressing autoimmunity due to circulating autoreactive T cells. Our computational studies show that increasing numbers of pathogenic peptides targeted by T cells during persistent or severe viral infections increase the probability of activating T cells that are weakly reactive to self-antigens (molecular mimicry). These T cells are easily re-activated by the self-antigens and contribute to exceeding the quorum threshold required to mount autoimmune responses. Rare peptides that activate many T cells are sampled more readily during severe/persistent infections than in acute infections, which amplifies these effects. Experiments in mice to test predictions from these mechanistic insights are suggested.

immunology↗

bioRxiv2023

A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs

Long non-coding RNAs (lncRNAs) perform several important functions in cells including cis-regulation of transcription. Barring a few specific cases, the mechanisms underlying transcriptional regulation by lncRNAs remain poorly understood. Transcriptional proteins can form condensates via phase separation at protein-binding loci (BL) on the genome (e.g., enhancers and promoters). lncRNA-coding genes are present at loci in close genomic proximity of these BL and these RNAs can interact with transcriptional proteins via attractive heterotypic interactions mediated by their net charge. Motivated by these observations, we propose that lncRNAs can dynamically regulate transcription in cis via charge-based heterotypic interactions with transcriptional proteins in condensates. To study the consequences of this mechanism, we developed and studied a dynamical phase-field model. We find that proximal lncRNAs can promote condensate formation at the BL. Vicinally localized lncRNA can migrate to the BL to attract more protein because of favorable interaction free energies. However, increasing the distance beyond a threshold leads to a sharp decrease in protein recruitment to the BL. This finding could potentially explain why genomic distances between lncRNA-coding genes and protein-coding genes are conserved across metazoans. Finally, our model predicts that lncRNA transcription can fine-tune transcription from neighboring condensate-controlled genes, repressing transcription from highly expressed genes and enhancing transcription of genes expressed at a low level. This non-equilibrium effect can reconcile conflicting reports that lncRNAs can enhance or repress transcription from proximal genes. SIGNIFICANCELong non-coding RNAs (lncRNAs) form a significant part of the human genome but do not code for any proteins. They have many hypothesized functions in the cell, including the regulation of transcription. Transcriptional condensates are assemblies of transcriptional proteins that concentrate at specific genomic sites through phase separation and can regulate transcription. In this study, we propose that lncRNAs can regulate transcription by interacting with proteins in transcriptional condensates to modulate condensate formation. We find that this model can explain some puzzling observations such as conflicting reports of gene activation and repression by lncRNAs, and conservation of genomic distances between lncRNA-coding genes relative to protein-coding genes in metazoans. Experimentally testable predictions that can further explore our model are discussed.

biophysics↗

bioRxiv2022

Polymer folding through active processes recreates features of genome organization

From proteins to chromosomes, polymers fold into specific conformations that control their biological function. Polymer folding has long been studied with equilibrium thermodynamics, yet intracellular organization and regulation involve energy-consuming, active processes. Signatures of activity have been measured in the context of chromatin motion, which shows spatial correlations and enhanced subdiffusion only in the presence of adenosine triphosphate (ATP). Moreover, chromatin motion varies with genomic coordinate, pointing towards a heterogeneous pattern of active processes along the sequence. How do such patterns of activity affect the conformation of a polymer such as chromatin? We address this question by combining analytical theory and simulations to study a polymer subjected to sequence-dependent correlated active forces. Our analysis shows that a local increase in activity (larger active forces) can cause the polymer backbone to bend and expand, while less active segments straighten out and condense. Our simulations further predict that modest activity differences can drive compartmentalization of the polymer consistent with the patterns observed in chromosome conformation capture experiments. Moreover, segments of the polymer that show correlated active (sub)diffusion attract each other through effective long-ranged harmonic interactions, whereas anticorrelations lead to effective repulsions. Thus, our theory offers non-equilibrium mechanisms for forming genomic compartments, which cannot be distinguished from affinity-based folding using structural data alone. As a first step toward disentangling active and passive mechanisms of folding, we discuss a data-driven approach to discern if and how active processes affect genome organization.

biophysics↗

bioRxiv2022

Mechanisms that promote the evolution of cross-reactive antibodies upon vaccination with designed influenza immunogens

SUMMARYImmunogens that elicit broadly neutralizing antibodies targeting the conserved receptor-binding site (RBS) on influenza hemagglutinin (HA) may serve as a universal influenza vaccine candidate. Here, we developed a computational model to interrogate antibody evolution by affinity maturation after immunization with two types of immunogens: a chimeric heterotrimeric HAtCh antigen that is enriched for the RBS epitope relative to other B cell epitopes, and a cocktail composed of three non-epitope-enriched homotrimeric antigens that comprise the HAtCh. Experiments in mice (Caradonna et al.) find that the chimeric antigen outperforms the cocktail for eliciting RBS-directed antibodies. We show that this result follows from an interplay between how B cells engage these antigens and interact with diverse T helper cells, and requires T cell-mediated selection of germinal center B cells to be a stringent constraint. Our results shed new light on antibody evolution, and highlight how immunogen design and T cells modulate vaccination outcomes.

immunology↗