Biology subjects

Singh, R.

Publications and source records attributed to Singh, R..

At least 145 records · Page 8Linked to original sources

bioRxiv2023

scNODE: Generative Model for Temporal Single Cell Transcriptomic Data Prediction

AO_SCPLOWBSTRACTC_SCPLOWMeasurement of single-cell gene expression at different timepoints enables the study of cell development. However, due to the resource constraints and technical challenges associated with the single-cell experiments, researchers can only profile gene expression at discrete and sparsely-sampled timepoints. This missing timepoint information impedes downstream cell developmental analyses. We propose scNODE, an end-to-end deep learning model that can predict in silico single-cell gene expression at unobserved timepoints. scNODE integrates a variational autoencoder (VAE) with neural ordinary differential equations (ODEs) to predict gene expression using a continuous and non-linear latent space. Importantly, we incorporate a dynamic regularization term to learn a latent space that is robust against distribution shifts when predicting single-cell gene expression at unobserved timepoints. Our evaluations on three real-world scRNA-seq datasets show that scNODE achieves higher predictive performance than state-of-the-art methods. We further demonstrate that scNODEs predictions help cell trajectory inference under the missing timepoint paradigm and the learned latent space is useful for in silico perturbation analysis of relevant genes along a developmental cell path. The data and code are publicly available at https://github.com/rsinghlab/scNODE.

bioinformatics↗

bioRxiv2023

Navigating the manifold of single-cell gene coexpression to discover interpretable gene programs

The utility of single-cell RNA sequencing (scRNA-seq) is premised on the notion that transcriptional state can faithfully reflect cell phenotype. However, scRNA-seq measurements are noisy and sparse, with individual transcript counts showing limited correlation with cell phenotype markers such as protein expression. To better characterize cell states from scRNA-seq data, researchers analyze gene programs---sets of covarying genes---rather than individual transcripts. We hypothesized that more accurate estimation of gene covariation, especially at a local (i.e., cell-state) rather than global (i.e., experimental) scale, could better capture cell phenotypes. However, the field lacks appropriate mathematical frameworks for analyzing gene covariation: coexpression is quantified as a symmetric positive-definite matrix, where even basic operations like arithmetic differences lack biological interpretability. Here we introduce Sceodesic, which exploits the Riemannian manifold structure of gene coexpression matrices to quantify cell state-specific coexpression patterns using the log-Euclidean metric from differential geometry. Unlike principal components analysis and non-negative matrix factorization, which infer only global covariation, Sceodesic efficiently discovers local covariation patterns and organizes them into interpretable, linear gene programs. Sceodesic outperforms existing approaches in predicting protein expression levels, distinguishing transcriptional responses to gene perturbations, and identifying biologically meaningful programs in fetal development. By respecting the mathematical structure of gene coexpression, Sceodesic bridges the gap between biological variability and statistical analysis of scRNA-seq data, enabling more accurate characterization of cell phenotypes. Software availabilityhttps://singhlab.net/Sceodesic

bioinformatics↗

bioRxiv2023

A mechanistic study on the tolerance of PAM distal end mismatch by SpCas9

CRISPR-Cas9 is the newest technology available for targeted genome editing. It is very efficient and cheap compared to other genome editing techniques. However, its therapeutic application is limited due to its off-target activity. To have a better understanding of this off-target effect, we concentrated our efforts on its mismatch-prone PAM distal end. Current off-target prediction algorithms use RNA-DNA complementation derived energy as a major factor in predicting off-target effect. RNA-DNA complementation derived energy drives Cas9 conformational change, which in turn drives its functional activity. In the case of lower RNA-DNA complementarity, a partial conformational change occurs resulting in a slower reaction rate and partial activity. However, extensive mismatches are often tolerated despite lower complementation derived energy available from RNA: DNA duplex formation. Thus, the off-target activity of Cas9 depends directly on the nature of mismatches which in turn result in deviation of the active site of the enzyme due to structural instability in the duplex strand. In order to test the hypothesis, we have designed an array of mismatched target sites and performed in vitro and cell line-based experiments to assess the effects of PAM distal mismatches in Cas9 activity. For further mechanistic validation, Molecular dynamics simulation was performed and it revealed that certain mismatch mutations induced pronounced conformational instability within the RNA-DNA duplex, leading to elevated root mean square deviation (RMSD) values. We found that, target sites having mismatches in the 18th to 16th position upstream of the PAM showed no to little activity.

genomics↗

bioRxiv2023

Septins Enable T Cell Contact Guidance via Amoeboid-Mesenchymal Switch

Lymphocytes exit circulation and enter in-tissue guided migration toward sites of tissue pathologies, damage, infection, or inflammation. By continuously sensing and adapting to the guiding chemo-mechano-structural properties of the tissues, lymphocytes dynamically alternate and combine their amoeboid (non-adhesive) and mesenchymal (adhesive) migration modes. However, which mechanisms guide and balance different migration modes are largely unclear. Here we report that suppression of septins GTPase activity induces an abrupt amoeboid-to-mesenchymal transition of T cell migration mode, characterized by a distinct, highly deformable integrin-dependent immune cell contact guidance. Surprisingly, the T cell actomyosin cortex contractility becomes diminished, dispensable and antagonistic to mesenchymal-like migration mode. Instead, mesenchymal-like T cells rely on microtubule stabilization and their non-canonical dynein motor activity for high fidelity contact guidance. Our results establish septins GTPase activity as an important on/off switch for integrin-dependent migration of T lymphocytes, enabling their dynein-driven fluid-like mesenchymal propulsion along the complex adhesion cues. SIGNIFICANCE STATEMENTDeciphering mechanisms of guided lymphocyte migration paves the way towards effective immunotherapies for the extracellular matrix-rich tissues, such as solid tumors. Here we demonstrate that T cell septins GTPase activity regulates both actomyosin and microtubules, alternately enhancing either of these two major motor systems. Surprisingly, the suppression of septin GTPase activity also induces a highly guided integrin-dependent mesenchymal-like migration directed by the extracellular matrix proteins. The phenomenon of guided mesenchymal-like migration of T cells relies on the microtubules and microtubule-based dynein motors that are responsible for the force generation, powering guided T cell motility. This finding opens a new perspective for future studies of septin GTPases in a context of the optimisation of T cell-based immunotherapies for the solid tissues.

cell biology↗

bioRxiv2023

DNA Tetrahedral Nanocages as a Promising Nanocarrier for Dopamine Delivery in Neurological Disorders

Dopamine is a neurotransmitter in the central nervous system that is essential for many bodily and mental processes, and a lack of it can cause Parkinsons disease. DNA tetrahedral (TD) nanocages are promising in bio-nanotechnology, especially as a nanocarrier. TD is highly programmable, biocompatible, and capable of cell differentiation and proliferation. It also has tissue and blood-brain barrier permeability, making it a powerful tool that could overcome potential barriers in treating neurological disorders. In this study, we used DNA-TD as a carrier for Dopamine to cells and zebrafish embryos. We investigated the mechanism of complexation between TD and dopamine hydrochloride using gel electrophoresis, fluorescence and circular dichroism (CD) spectroscopy, atomic force microscopy (AFM), and molecular dynamic (MD) simulation tools. Further, we demonstrate these Dopamine-loaded DNA tetrahedral nanostructures cellular uptake and differentiation ability in SH-SY5Y neuroblastoma cells. Furthermore, we extended the study to zebrafish embryos as a model organism to examine survival and uptake. The research provides valuable insights into the complexation mechanism and cellular uptake of dopamine-loaded DNA tetrahedral nanostructures, paving the way for further advancements in nanomedicine for Parkinsons disease and other neurological disorders.

bioengineering↗

bioRxiv2023

Genetic tracing of market wildlife and viruses at the epicenter of the COVID-19 pandemic

Zoonotic spillovers of viruses have occurred through the animal trade worldwide. The start of the COVID-19 pandemic was traced epidemiologically to the Huanan Wholesale Seafood Market, the site with the most reported wildlife vendors in the city of Wuhan, China. Here, we analyze publicly available qPCR and sequencing data from environmental samples collected in the Huanan market in early 2020. We demonstrate that the SARS-CoV-2 genetic diversity linked to this market is consistent with market emergence, and find increased SARS-CoV-2 positivity near and within a particular wildlife stall. We identify wildlife DNA in all SARS-CoV-2 positive samples from this stall. This includes species such as civets, bamboo rats, porcupines, hedgehogs, and one species, raccoon dogs, known to be capable of SARS-CoV-2 transmission. We also detect other animal viruses that infect raccoon dogs, civets, and bamboo rats. Combining metagenomic and phylogenetic approaches, we recover genotypes of market animals and compare them to those from other markets. This analysis provides the genetic basis for a short list of potential intermediate hosts of SARS-CoV-2 to prioritize for retrospective serological testing and viral sampling.

genomics↗

bioRxiv2023

Histone mark age of human tissues and cells

BackgroundAging involves intricate epigenetic changes, with histone modifications playing a pivotal role in dynamically regulating gene expression. Our research comprehensively analyzes seven key histone modifications across various tissues to understand their behavior during human aging and formulate age prediction models. ResultsThese histone-centric prediction models exhibit remarkable accuracy and resilience against experimental and artificial noise. They showcase comparable efficacy when compared with DNA methylation age predictors through simulation experiments. Intriguingly, our gene set enrichment analysis pinpoints vital developmental pathways crucial for age prediction. Unlike in DNA methylation age predictors, genes previously recognized in animal studies as integral to aging are amongst the most important features of our models. We also introduce a pan-histone-mark, pan-tissue age predictor that operates across multiple tissues and histone marks, reinforcing that age-related epigenetic markers are not restricted to particular histone modifications. ConclusionOur findings underscore the potential of histone marks in crafting robust age predictors and shed light on the intricate tapestry of epigenetic alterations in aging.

systems biology↗

bioRxiv2023

Mammalian olfactory cortex neurons retain molecular signatures of ancestral cell types

The cerebral cortex diversified extensively during vertebrate evolution. Intriguingly, the three-layered mammalian olfactory cortex resembles the cortical cytoarchitecture of non-mammals yet evolved alongside the six-layered neocortex, enabling unique comparisons for investigating cortical neuron diversification. We performed single-nucleus multiome sequencing across mouse three- to six-layered cortices and compared neuron types across mice, reptiles and salamander. We identified neurons that are olfactory cortex-specific or conserved across mouse cortical areas. However, transcriptomically similar neurons exhibited area-specific epigenetic states. Additionally, the olfactory cortex showed transcriptomic divergence between lab and wild-derived mice, suggesting enhanced circuit plasticity through adult immature neurons. Finally, olfactory cortex neurons displayed marked transcriptomic similarities to reptile and salamander neurons. Together, these data indicate that the mammalian olfactory cortex retains molecular signatures representative of ancestral cortical traits.

neuroscience↗

bioRxiv2023

Revealing Chloroquine's Antimalarial Mechanism: The Suppression of Nucleation Events during Heme to Hemozoin Transformation

Malaria parasites generate toxic heme during hemoglobin digestion, which is neutralized by crystallizing into inert hemozoin ({beta}-hematin). Chloroquine blocks this detoxification process, resulting in heme-mediated toxicity in malaria parasites. However, the exact mechanism of chloroquines action remains unknown. This study investigates the impact of chloroquine on the transformation of heme into {beta}-hematin. The results show that chloroquine does not completely halt the transformation process but rather slows it down. Additionally, chloroquine complexation with free heme does not affect substrate availability or inhibit {beta}-hematin formation. SEM and XRD studies indicate that the size of {beta}-hematin crystal particles and crystallite increases in the presence of chloroquine, suggesting that chloroquine does not impede crystal growth. These findings suggest that chloroquine delays hemozoin production by perturbing the nucleation events of crystals and/or the stability of crystal nuclei. Thus, contrary to prevailing beliefs, this study provides a new perspective on the working mechanism of chloroquine.

biochemistry↗

bioRxiv2023

RETROFIT: REFERENCE-FREE DECONVOLUTION OF CELL-TYPE MIXTURES IN SPATIAL TRANSCRIPTOMICS

Spatial transcriptomics (ST) enables genome-wide measurement of gene expression in intact tissues, but typically captures mixtures of multiple cell types at each spatial location. Deconvolving these mixtures is essential for resolving cell-type-specific spatial organization and transcriptional programs. Existing approaches often rely on matched single-cell references or curated marker genes, which may be unavailable, incomplete, or difficult to integrate across platforms. We present RETROFIT, a Bayesian framework for reference-free deconvolution of spatial transcriptomics data that operates directly on sequencing measurements and incorporates external information only at a post hoc annotation stage when available. Across extensive simulations and multiple real datasets, RETROFIT demonstrates robust performance, outperforming existing reference-free methods and matching or exceeding reference-based approaches when references are imperfect. Notably, RETROFIT remains effective at near-single-cell resolution, as demonstrated on Visium HD data, recovering fine-grained spatial patterns without requiring single-cell references or marker genes. These results establish RETROFIT as a broadly applicable approach for reference-free spatial transcriptomics analysis across platforms and resolutions. RETROFIT is available at https://bioconductor.org/packages/retrofit/.

bioinformatics↗

bioRxiv2023

Contrasting functions of ATP hydrolysis by MDA5 and LGP2 in viral RNA sensing

Cytosolic long double-stranded RNA (dsRNA), among the most potent proinflammatory signals, is recognized by MDA5. MDA5 binds dsRNA cooperatively, forming helical filaments. ATP hydrolysis by MDA5 fulfills a proofreading function by promoting dissociation of shorter endogenous dsRNAs from MDA5 while allowing longer viral dsRNAs to remain bound leading to activation of interferon-{beta} responses. Here, we show that adjacent MDA5 subunits in MDA5-dsRNA filaments hydrolyze ATP cooperatively, inducing cooperative filament disassembly. This amplifies the RNA footprint expansion that accompanies each round of ATP hydrolysis and allows MDA5 to displace tightly bound proteins from dsRNA. Our electron microscopy and biochemical assays show that LGP2 binds to dsRNA at internal binding sites through noncooperative ATP hydrolysis. Unlike MDA5, LGP2 has low nucleic acid selectivity and can hydrolyze GTP and CTP as well as ATP. Binding of LGP2 to dsRNA promotes nucleation of MDA5 filament assembly resulting in shorter filaments. Molecular modeling of the MDA5-LGP2 interface suggests that MDA5 interacts with dsRNA stem-bound rather than end-bound LGP2. We conclude that NTPase-dependent binding of LGP2 to internal sites on dsRNA increases the number and signaling output of MDA5-dsRNA complexes. Our work identifies novel molecular mechanisms contributing the selectivity and sensitivity of cytosolic dsRNA sensing. KEY POINTSO_LICooperative ATP hydrolysis in MDA5 filaments confers selectivity for dsRNA and displaces other proteins from RNA C_LIO_LINoncooperative NTP hydrolysis by LGP2 induces binding to internal RNA sites with low selectivity C_LIO_LIRNA stem-bound LGP2 nucleates assembly of MDA5 signaling complexes on a broader set of RNA ligands C_LI

biochemistry↗

bioRxiv2023

Differential early-life survival underlies the adaptive significance of temperature-dependent sex determination in a long-lived reptile

O_LIMany ectotherms rely on temperature cues experienced during development to determine offspring sex. The first descriptions of temperature-dependent sex determination (TSD) were made over 50 years ago, yet an understanding of its adaptive significance remains elusive, especially in long-lived taxa. C_LIO_LIOne novel hypothesis predicts that TSD should be evolutionarily favored when two criteria are met - (a) incubation temperature influences annual juvenile survival and (b) sexes mature at different ages. Under these conditions, a sex-dependent effect of incubation temperature on offspring fitness arises through differences in age at sexual maturity, with the sex that matures later benefiting disproportionately from temperatures that promote juvenile survival. C_LIO_LIThe American alligator (Alligator mississippiensis) serves as an insightful model in which to test this hypothesis, as males begin reproducing nearly a decade after females. Here, through a combination of artificial incubation experiments and mark-recapture approaches, we test the specific predictions of the survival-to-maturity hypothesis for the adaptive value of TSD by disentangling the effects of incubation temperature and sex on annual survival of alligator hatchlings across two geographically distinct sites. C_LIO_LIHatchlings incubated at male-promoting temperatures consistently exhibited higher survival compared to those incubated at female-promoting temperatures. This pattern appears independent of hatchling sex, as females produced from hormone manipulation at male-promoting temperatures exhibit similar survival to their male counterparts. C_LIO_LIAdditional experiments show that incubation temperature may affect early-life survival primarily by affecting the efficiency with which maternally transferred energy resources are used during development. C_LIO_LIResults from this study provide the first explicit empirical support for the adaptive value of TSD in a crocodilian and point to developmental energetics as a potential unifying mechanism underlying persistent survival consequences of incubation temperature. C_LI

ecology↗

bioRxiv2023

Interruption of the Intratumor CD8:Treg Crosstalk Improves the Efficacy of PD-1 Immunotherapy

PD-1 blockade unleashes the potent antitumor activity of CD8 cells but can also promote immunosuppressive T regulatory (Treg) cells, which may worsen response to immunotherapy. Tumor Treg inhibition is a promising strategy to overcome therapeutic resistance; however, the mechanisms supporting tumor Tregs during PD-1 immunotherapy are largely unexplored. Here, we report that PD-1 blockade increases tumor Tregs in mouse models of immunogenic tumors, including melanoma, and metastatic melanoma patients. Unexpectedly, Treg accumulation was not caused by Treg-intrinsic inhibition of PD-1 signaling but instead depended on an indirect effect of activated CD8 cells. CD8 cells colocalized with Tregs within tumors and produced IL-2, especially after PD-1 immunotherapy. IL-2 upregulated the anti-apoptotic protein ICOS on tumor Tregs, causing their accumulation. ICOS signaling inhibition before PD-1 immunotherapy resulted in increased control of immunogenic melanoma. Thus, interrupting the intratumor CD8:Treg crosstalk is a novel strategy that may enhance the efficacy of immunotherapy in patients.

immunology↗

bioRxiv2023

Metabolic alterations unravel the materno fetal immune responses with disease severity in pregnant women infected with SARS-CoV-2

BackgroundPregnancy being immune compromised state, COVID-19 disease poses high risk of premature delivery and threat to fetus. Plasma metabolome regulates immune cellular responses and we aimed to analyze the plasma secretome, metabolome and immune cells in COVID-19 positive pregnant mother and cord blood. MethodsCOVID-19 RT-PCR positive pregnant females (n=112) asymptomatic (n=82), or with mild (n=21) or moderate (n=9) disease and control healthy pregnant (n=10) females were included. Mothers blood and cord blood (n=80) was analysed for untargeted metabolome profiling and plasma cytokines by high-resolution mass spectrometry (MS) and multiplex cytokine bead array. Immune scan in mothers was done using flow cytometry. ResultsIn asymptomatic SARS-CoV-2 infection, --the amino acid metabolic pathways such as glycine, serine, L-lactate and threonine metabolism was upregulated, riboflavin and tyrosine metabolism, downregulated. In mild to moderate disease, the pyruvate and NAD+ metabolism (energy metabolic pathways) were mostly altered. In addition to raised TNF-, IFN-, IFN-{gamma}, IL-6 cytokine storm, IL-9 was increased in both mothers and neonates. Pyruvate and NAD+ metabolic pathways along with IL-9 and IFN-{gamma} had impact on non-classical monocytes, increased CD4 T cells and B cells but depleted CD8+ T cells. Cord blood mimicked the mothers metabolomic profiles by showing altered valine, leucine, isoleucine, glycine, serine, threonine in asymptomatic and NAD+ and riboflavin metabolism in mild and moderate disease subjects. ConclusionsOur results demonstrate a graduated immune-metabolomic interplay in mother and fetus in pregnant females with different degrees of severity of COVID-19 disease. IL-9 and IFN- {gamma} regulated pyruvate, lactate TCA metabolism and riboflavin metabolism with context to disease severity are hall marks of this materno-fetal metabolome. HighlightsO_LISARS-CoV-2 infection alters energy consumption metabolic pathways during pregnancy. C_LIO_LIPregnant women with mild to moderate COVID-19 show increased energy demands, and consume stored glucose by upregulating pyruvate and NAD+ metabolism. C_LIO_LIIncreased TNF- and IL-9 in mild COVID-19 disease involve TCA cycle to produce lactate and consume stored glucose by up regulating pyruvate and nicotinamide and nicotinate metabolism. C_LIO_LIWith mild to moderate disease, raised IL-9 and TNF-, decreased riboflavin pathway, exhaustion of T and B cells cause pathogenesis. C_LIO_LICord blood mimics the metabolic profile of mothers peripheral blood, SARS- CoV-2 infection reshapes immune-metabolic profiles of mother-infant dyad. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=141 HEIGHT=200 SRC="FIGDIR/small/540101v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@657cc3org.highwire.dtl.DTLVardef@e1e76forg.highwire.dtl.DTLVardef@12153f2org.highwire.dtl.DTLVardef@10e5332_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2023

Anti-tau antibodies targeting a conformation-dependent epitope selectively bind seeds

Neurodegenerative tauopathies are caused by transition of tau protein from a monomer to a toxic aggregate. They include Alzheimer disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and Pick disease (PiD). We have previously proposed that tau monomer exists in two conformational ensembles: an inert form (Mi), which does not self-assemble; and seed-competent form (Ms), which self-assembles and templates ordered assembly growth. We proposed that cis/trans isomerization of tau at P301, the site of dominant disease-associated S/L mis-sense mutations, might underlie the transition of wild-type tau to a seed-competent state. Consequently, we created monoclonal antibodies using non-natural antigens consisting of fluorinated proline (P*) at the analogous P270 in R1, biased towards the trans-configuration at either the R1/R2 (TENLKHQP*GGGKVQIINKK) or R1/R3 (TENLKHQP*GGGKVQIVYK) interfaces. Two antibodies, MD2.2 and MD3.1 efficiently immunoprecipitated soluble seeds from AD and PSP, but not CBD or PiD. They stained brain samples of AD, PSP, and PiD, but not CBD. They did not immunoprecipitate, or immunostain tau from control brain. Creation of potent anti-seed antibodies based on the trans-proline epitope implicates local unfolding around P301 in pathogenesis. MD2.2 and MD3.1 may also be useful for therapy and diagnosis. SummaryTau protein undergoes conformational change to self-assemble and trigger neurodegeneration. We have proposed local unfolding events centered on P301 cis/trans isomerization, which expose amyloidogenic sequences. We used a non-natural peptide with a trans-proline to generate monoclonal antibodies that distinguish tau seeds from native tau in human brain. In addition to being important therapeutic and diagnostic leads, the activity of these antibodies supports structural studies implicating local conformational change in tau that underlies disease initiation.

neuroscience↗

bioRxiv2023

CREID- A ChemoReceptor-Effector Interaction Database

The ChemoReceptor-Effector Interaction Database (CREID) is a collection of bacterial chemoreceptor and effector protein and interaction data to understand the process that chemoreceptors and effectors play in various environments. Our website includes terms associated with chemosensory pathways to educate users and those involved in collaborative research to help them understand this complex biological network. It includes 2,440 proteins involved in chemoreceptor and effector systems from 7 different bacterial families with 1,996 chemoeffector interactions. It is available at https://react-creid.bicbioeng.org. Key HighlightsO_LICREID links bacterial chemoreceptors with their associated effectors. C_LIO_LIResearchers interested in what attracts or repels bacteria can use CREID as a comprehensive source for information. C_LIO_LIBiosensor developers can leverage CREID to discover better interactions for their applications. C_LIO_LICREID reveals knowledge gaps in chemoreceptor-effector interactions for both model and non-model organisms. C_LI

bioengineering↗

bioRxiv2023

Lipid modification of DNA nanocages enhances cellular uptake, migration, and in vivo uptake

The extraordinary self-assembling nature of DNA nanostructures and high functionality enables the formulation of DNA nanostructures with multiple chemical and biological molecules. How the whole organisms in native as well as modified; and how stable they are inside take up exactly these modified DNA nanostructures the organisms still remains to be explored. Here we report the fabrication and evaluation of a new conjugate of a cationic lipid, N-[one-(two, 3-dioleyloxy) propyl]-N, N, N-trimethylammonium chloride (DOTMA) and DNA tetrahedron nanostructure (TdN) for the enhanced uptake, stability, bioimaging, and biotherapeutics in cells and zebrafish (Danio rerio) eleuthero embryos as a model organism. We summarise the enhanced uptake potential of TdN-DOTMA conjugate for futuristic biomedical applications such as drug delivery, bioimaging, biosensing, and therapeutics.

bioengineering↗

bioRxiv2023

Learning the Language of Antibody Hypervariability

Protein language models (PLMs) based on machine learning have demon-strated impressive success in predicting protein structure and function. However, general-purpose ("foundational") PLMs have limited performance in predicting antibodies due to the latters hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a new transfer learning framework called AbMAP, which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples. Our feature representations accurately predict an antibodys 3D structure, mutational effects on antigen binding, and paratope identification. AbMAPs scalability paves the way for large-scale analyses of human antibody repertoires. AbMAP representations of immune repertoires reveal a remarkable overlap across individuals, overcoming the limitations of sequence analyses. Our findings provide compelling evidence for the hypothesis that antibody repertoires of individuals tend to converge towards comparable structural and functional coverage. We validate AbMAP for antibody optimization, applying it to optimize a set of antibodies that bind to a SARS-CoV-2 peptide and obtaining 82% hit-rate and upto 22-fold increase in binding affinity. We anticipate AbMAP will accelerate the efficient design and modeling of antibodies and expedite the discovery of antibody-based therapeutics. Availability:https://github.com/rs239/ablm

bioinformatics↗