Biology subjects

Hartman, T.

Publications and source records attributed to Hartman, T..

6 recordsLinked to original sources

bioRxiv2026

Dual-Specific Antibody Design Using Artificial Intelligence

Multibodies, or "two-in-one" Immunoglobulin G (IgG) antibodies, are standard symmetrical IgG molecules engineered to competitively bind more than one antigen within a single variable fragment (Fv) binding surface. This format merges the functional advantages of bispecifics, such as multi-target binding and dynamic adaptation to target concentrations, with the superior manufacturing, developability, pharmacokinetics, and avidity of monospecific IgGs. Moreover, the co-accommodation of multiple paratopes on a single set of 6 CDRs introduces new functional possibilities that can improve efficacy and safety. Multibodies can, therefore, be thought of as force multipliers: for any format of antibodies, or fragments thereof, multibodies can bind double the number of epitopes compared to standard antibodies. While these advantages were recognized more than 15 years ago, the systematic design of multibodies has been intractable due to the challenge of optimizing two binding specificities into one Fv region, without having one of them compromising the other and without inducing poly-reactivity. To overcome this engineering barrier, we have developed an artificial intelligence (AI)-assisted computational platform that enables the design of functional multibodies against virtually any pair of targets. We applied the platform to design nine multibodies combining 15 different unrelated targets. We obtained therapeutic-grade multibodies that bind each desired pair of targets. We demonstrate that the generated multibodies possess excellent developability, high affinity, and stringent specificity, comparing favorably to clinical monospecific benchmarks. Critically, we show that these multibodies exhibit superior functional activity across a diverse range of mechanisms of action (MOAs), including internalization, T-cell engagement, and immune system modulation. This capability to reliably engineer versatile multibodies opens a new domain in antibody therapeutics, enabling complex multipharmacology and novel functions within a natural, cost-effective, and highly developable format. Two of these multibodies are currently in IND enabling studies, with first in human studies expected in 2026. The timeline from idea to a fully optimized, developable, lead candidate, ready for IND enabling studies, is 9 months.

bioengineering↗

bioRxiv2026

Loss of riboflavin biosynthesis leads to accumulation of select aromatic amino acids and loss of infectivity in Mycobacterium tuberculosis

Riboflavin biosynthesis is required for in vitro survival of the human pathogen Mycobacterium tuberculosis (Mtb). However, despite the lack of a known transporter, growth can be rescued by exogenous riboflavin. The riboflavin biosynthesis pathway is also predicted essential in vivo, but whether riboflavin levels available in the host can support survival has not been directly tested. Here we constructed a set of inducible CRISPR interference (CRISPRi) knockdown and targeted gene deletion strains for known riboflavin biosynthesis genes (ribA2, ribG, ribH, ribC) as tools to characterize riboflavin requirements, uptake, and metabolite changes and to assess in vivo essentiality. We found that riboflavin, but not flavin adenine dinucleotide or flavin mononucleotide, rescued auxotrophy for all strains tested. Further, riboflavin uptake did not show strong evidence of being dependent on active or facilitated transport, supporting the mechanism of passive diffusion. Targeted metabolite profiling after removal of riboflavin from growth medium confirmed reduced riboflavin levels. While other riboflavin intermediates were not detected, significant accumulation of aromatic amino acids (Phe, Tyr) was observed across all assayed strains, as well as alteration in a vitamin B9 metabolite. Selecting the ribC knockout as a representative strain, we found that riboflavin depletion had a bacteriostatic effect as late as 3 weeks after removal. Unexpectedly, {Delta}ribC lacked infectivity in an aerosol mouse infection, suggesting that the potential to scavenge riboflavin from the host is not sufficient to survive in vivo. Overall, our results show that altered metabolism upon loss of riboflavin biosynthesis leads to compromised Mtb infectivity. IMPORTANCETuberculosis remains one of the worlds most deadly infectious diseases, underscoring the need to explore new drug targets. Riboflavin (vitamin B2) biosynthesis has emerged as a promising target because Mycobacterium tuberculosis (Mtb) depends on this pathway for survival. The riboflavin pathway also produces metabolites that modulate host mucosal-associated invariant T (MAIT) cell activity, towards understanding potential strategies for host-directed therapies. Here we found that disrupting riboflavin biosynthesis led to not only compromised survival, but also widespread changes to metabolism and loss of the ability to establish infection in an animal model. These findings improve our understanding of how Mtb adapts to metabolic stress, with implications for developing drugs that target riboflavin biosynthesis and for alterations in host immunity to be explored in future studies.

microbiology↗

bioRxiv2026

An ancient polymorphism in myosin I a/b determines the left-right asymmetry of Japanese snails

Left-right (LR) asymmetry is a fundamental feature of animal development, yet progress in understanding its establishment has been limited by the fact that almost all animals exhibit invariant chirality. Snails are the exception because some wild-living species show abundant chiral variation, yet the existing knowledge is from snails in which the chirality mutation is rare and causes pathology. Here, we show that a chiral polymorphism in Japanese Euhadra snails is due to functional variation in an unconventional myosin I a/b, an isoform not previously implicated in LR specification in any animal. Both the sinistral and dextral gene variants are ancient, impart minimal transcriptional differences in the single-cell embryo and are not pathological. Phylogenetic and structural modelling suggests that dominant-acting amino acid substitutions in the myosin actin-binding domain and/or motor-level junction were enabled by relaxed selection. These results broaden the known molecular repertoire underlying LR asymmetry, suggest key mutations and positions that should be explored in other model animals, and highlight snails as a powerful model for understanding the origins of animal LR asymmetry.

evolutionary biology↗

bioRxiv2025

MEK-dependent bioenergetic demand drives terminal CD8+ T cell exhaustion

Loss of mitochondrial function contributes to CD8+ T cell dysfunction during persistent antigen encounter. How chronic antigen leads to this metabolic dysfunction remains unclear. Here, we show that TCR-dependent mitochondrial NADH accumulation drives production of ROS, ultimately leading to mitochondrial dysfunction. Among TCR-dependent proximal signaling components, MEK inhibition uniquely reduced nutrient uptake and mitochondrial NADH accumulation while increasing proliferation. As a result, MEK inhibition during chronic TCR stimulation reduced terminal T cell exhaustion. Mechanistically, we found that chronic MEK activation in T cells drove ATP demand by increasing global protein synthesis rates in vitro and in vivo. MEK inhibition reversed chronic TCR stimulation-driven increases in RNA polymerase II CTD phosphorylation, reducing transcription rates at effector- and terminal-exhaustion associated genes while maintaining transcription of memory-associated genes. These findings establish MEK-dependent metabolic demand as a driver of T cell exhaustion and elucidate the role of MEK inhibition in enhancing immunotherapy efficacy.

immunology↗

bioRxiv2025

Candidate transmission survival genome of Mycobacterium tuberculosis

Mycobacterium tuberculosis (Mtb), a leading cause of death from infection, completes its life cycle entirely in humans except for transmission through the air. To begin to understand how Mtb survives aerosolization, we mimicked liquid and atmospheric conditions experienced by Mtb before and after exhalation using a model aerosol fluid (MAF) based on the water-soluble, lipidic and cellular constituents of necrotic tuberculosis lesions. MAF induced drug tolerance in Mtb, remodeled its transcriptome and protected Mtb from dying in microdroplets desiccating in air. Yet survival was not passive: Mtb appeared to rely on hundreds of genes to survive conditions associated with transmission. Essential genes subserving proteostasis offered most protection. A large number of conventionally nonessential genes appeared to contribute as well, including genes encoding proteins that resemble anti-desiccants. The candidate transmission survival genome of Mtb may offer opportunities to reduce transmission of tuberculosis. Significance StatementMycobacterium tuberculosis (Mtb) travels from the lungs of one person through the air to the lungs of another and survives multiple stresses en route, including changes in temperature and in concentrations of oxygen, carbon dioxide, hydrogen ions, salts and organic solutes. Here we present a genetically tractable model of transmission to begin the identification of the transmission survival genome of Mtb. We devised a fluid that mimics TB lesions, found that it protects Mtb from transmission-related stresses, associated this with the structure of the droplets as they dry and their ability to retain water, and used it to query the potential contribution of each of Mtbs genes to Mtbs survival in models of three sequential stages of transmission.

microbiology↗

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↗