Biology subjects

Berndt, A.

Publications and source records attributed to Berndt, A..

13 recordsLinked to original sources

bioRxiv2026

Enkephalin constrains fear learning via volume transmission to the lateral amygdala

Fear learning involves the formation of associations between cues and aversive outcomes, a process that must be tightly regulated to prevent excessive or generalised fear. Dopamine release in the lateral amygdala (LA) drives fear acquisition, whereas endogenous opioids constrain it. However, whether opioids are dynamically released within the amygdala circuits during learning, and how they exert this control remain unclear. Here we show that met-enkephalin is locally released within the amygdala during auditory fear conditioning, with signals shifting from the aversive outcome to its predictive cue as learning progresses. The amygdalo-striatal transition zone (ASt), is the principal source of this enkephalin, released from medium spiny neurons receiving strong auditory thalamic input. This enkephalin spreads from the ASt to the LA via volume transmission. Selective knockdown in the ASt abolished opioid signals and enhanced fear learning, demonstrating that this diffuse signal constrains fear memory formation. We further show that enkephalin suppresses dopamine release in both the ASt and LA via {micro}-opioid receptors, identifying the ASt as a neuromodulator hub coordinating opioid and dopaminergic signalling across amygdala fear circuits. Although demonstrated here for auditory fear learning, the ASt receives multimodal sensory input, suggesting a broader mechanism through which sensory experience recruits enkephalin release to gate associative learning

neuroscience↗

bioRxiv2026

Positron Emission Tomography of CD47/SIRPα Axis and Image-Informed Therapeutic Design

CD47/SIRP immune axis is of substantial clinical interest for innate cancer immunotherapy. Development on this axis has largely focused on monoclonal antibody agents and combination therapy strategies. Clinical use is challenging due to dose limiting side effects and severe anemia. Better understanding of the whole-body dynamics of CD47/SIRP can be used to improve the developmental and therapeutic strategies targeting this axis. Herein, we developed anti-CD47 and anti-SIRP radiotracers with good yields and stability. CD47/SIRP biodistribution showed consistent whole-body results in healthy and colorectal cancer (CT26) allograft mice, demonstrating significant uptake in normal organs liver and spleen in addition to tumor accumulation of these agents. Enhancing immunogenicity via low-dose radiotherapy had no impact on over-all biodistribution but caused small, significant changes for anti-SIRP tumor uptake. Antibody PEGylation of the anti-SIRP tracer was further able to modify the whole-body distribution and reduce splenic uptake. These findings suggest that SIRP targeted agents may benefit from co-therapies and drug delivery systems to optimize tumor uptake. Our work highlights the importance of in vivo molecular imaging in addition to in vitro and ex vivo assays when evaluating therapeutic designs.

bioengineering↗

bioRxiv2025

FOLR1-targeted Actinium-225-based Alpha-particle Therapy Eliminates Ovarian Cancer

Despite the advancement in therapies, ovarian cancer treatment is challenging due to poor prognosis and high relapse associated with acquired resistance. Targeting overexpression of FOLR1 in ovarian cancers has proven to be an attractive strategy. The recent FDA approval of FOLR1 targeted antibody drug conjugate has shown promising results albeit resistance with repeated use appears inevitable. Emerging targeted alpha-particle therapies, particularly Actinium-225 (225Ac), for treating refractory cancers have opened avenues for improved therapeutic options. The success of alpha-particle therapy relies on tumor specific delivery of the alpha emitters. Herein we describe the first example of FOLR1-targeted 225Ac alpha-particle therapy for treatment of ovarian cancer. Longitudinal PET imaging demonstrated high tumor-specific uptake of FOLR1 in SKOV3 xenografts. FOLR1-targeted 225Ac demonstrated high therapeutic efficacy achieving marked tumor regression, 80% survival and 40% complete response. The therapy resulted in tumor specific double stranded DNA damage, and no obvious toxicity was observed in normal tissues. Estimated human dosimetry showed high absorbed dose for tumor and minimal absorbed dose for healthy tissues establishing its safety. In totality, FOLR1-targeted 225Ac alpha-particle therapy is an efficacious and safe treatment with high feasibility for clinical translation to fight against ovarian cancer.

bioengineering↗

bioRxiv2025

Supervised Deep Learning for Efficient Cryo-EM Image Alignment in Drug Discovery with cryoPARES

Cryo-Electron Microscopy (cryo-EM) is a pivotal tool for determining 3D structures of biological macromolecules. Current workflows are computationally demanding and require manual intervention, creating bottlenecks for high-throughput applications like structure-based drug discovery. In such contexts, where all protein samples can be assumed to be equivalent at resolutions relevant for image alignment, information about particle poses from previous refinements could be reused. Existing methods, however, ignore this prior knowledge, aligning each dataset from scratch. We present cryoPARES, a deep learning pose estimation method trained on pre-aligned datasets. Our method not only provides accurate angular predictions significantly faster than traditional approaches but also introduces automated particle pruning capabilities that eliminate manual intervention. Together with its single-pass operation, these features enable near real-time reconstructions that provide feedback during data acquisition. We demonstrate cryoPARESs effectiveness through rapid structural determination of seven ligand-bound complexes across four distinct protein targets. We also release three fragment-bound cryo-EM datasets.

bioinformatics↗

bioRxiv2025

Compensatory Mechanisms in γδ T Cell-Deficient Chickens Following Salmonella infection

Avian {gamma}{delta} T lymphocytes are highly abundant in the intestinal mucosa and play a critical role in immune defense against infectious diseases in chickens. However, their specific contributions to infection control remain poorly understood. To investigate the role of {gamma}{delta} T cells and their possible compensation, we studied wild-type and {gamma}{delta} T cell knockout chickens following infection with Salmonella Enteritidis. Bacterial loads in the liver, cecal content, and cecal wall were quantified. Immune cell populations in blood, spleen, and cecum were analyzed using flow cytometry. Immune gene transcription in sorted T cell subsets and cecal tissue was measured by RT-qPCR. Strikingly, chickens lacking {gamma}{delta} T cells had significantly higher bacterial loads in the liver and more extensive Salmonella invasion in the cecal wall during the early stages of infection compared to wild-type birds. In the blood, infected {gamma}{delta} T cell knockout chickens displayed a significantly increased percentage of CD25+ NK-like cells. In both blood and tissue, infected wild-type chickens demonstrated an increased absolute number of CD8++ {gamma}{delta} T cells. Conversely, {gamma}{delta} T cell knockout chickens exhibited an augmented cell count of a CD8++CD4- non-{gamma}{delta} T cell population after infection, which might include {beta} T cells. At 7 days post infection (dpi), gene expression analysis revealed elevated transcription of the activation marker IL-2R and proinflammatory cytokines (IL-17A, IFN-{gamma}) in CD8++CD4- non-{gamma}{delta} T cells from {gamma}{delta} T cell knockout chickens compared to CD8++ {gamma}{delta} T cells from wild-type birds. By 12 dpi, these differences diminished as transcription levels increased in {gamma}{delta} T cells of wild-type animals. Our findings demonstrate that {gamma}{delta} T cells play a role in early immune protection against Salmonella Enteritidis infection in chickens. In later stages of the infection, the {gamma}{delta} T cells and their functions appear to be replaced by other cells.

immunology↗

bioRxiv2024

G protein Inactivation as a Mechanism for Addiction Treatment

The endogenous dynorphin/kappa opioid receptor (KOR) system in the brain mediates the dysphoric effects of stress, and KOR antagonists may have therapeutic potential for the treatment of drug addiction, depression, and psychosis. One class of KOR antagonists, the long-acting norBNI-like antagonists, have been suggested to act by causing KOR inactivation through a cJun-kinase mechanism rather than by competitive inhibition. In this study, we screened for other opioid ligands that might produce norBNI-like KOR inactivation and found that nalfurafine (a G-biased KOR agonist) and nalmefene (a KOR partial agonist) also produce long-lasting KOR inactivation. Neither nalfurafine nor nalmefene are completely selective KOR ligands, but KOR inactivation was observed at doses 10-100 fold lower than necessary for mu opioid receptor actions. Daily microdosing with nalfurafine or nalmefene blocked KORs responsible for antinociceptive effects, blocked KORs mediating stress-induced aversion, and mitigated the aversion during acute and protracted withdrawal in fentanyl-dependent mice. Both nalfurafine and nalmefene have long histories of safety and use in humans and could potentially be repurposed for the treatment of dynorphin-mediated stress disorders.

neuroscience↗

bioRxiv2024

Far-red and sensitive sensor for monitoring real-time H2O2 dynamics with subcellular resolution and inmulti-parametric imaging applications.

H2O2 is a key oxidant in mammalian biology and a pleiotropic signaling molecule at the physiological level, and its excessive accumulation in conjunction with decreased cellular reduction capacity is often found to be a common pathological marker. Here, we present a red fluorescent Genetically Encoded H2O2 Indicator (GEHI) allowing versatile optogenetic dissection of redox biology. Our new GEHI, oROS-HT, is a chemigenetic sensor utilizing a HaloTag and Janelia Fluor (JF) rhodamine dye as fluorescent reporters. We developed oROS-HT through a structure-guided approach aided by classic protein structures and recent protein structure prediction tools. Optimized with JF635, oROS-HT is a sensor with 635 nm excitation and 650 nm emission peaks, allowing it to retain its brightness while monitoring intracellular H2O2 dynamics. Furthermore, it enables multi-color imaging in combination with blue-green fluorescent sensors for orthogonal analytes and low auto-fluorescence interference in biological tissues. Other advantages of oROS-HT over alternative GEHIs are its fast kinetics, oxygen-independent maturation, low pH sensitivity, lack of photo-artifact, and lack of intracellular aggregation. Here, we demonstrated efficient subcellular targeting and how oROS-HT can map inter and intracellular H2O2 diffusion at subcellular resolution. Lastly, we used oROS-HT with the green fluorescent calcium indicator Fluo-4 to investigate the transient effect of the anti-inflammatory agent auranofin on cellular redox physiology and calcium levels via multi-parametric, dual-color imaging.

bioengineering↗

bioRxiv2024

Structure-guided engineering of a fast genetically encoded sensor for real-time H2O2 monitoring.

Hydrogen Peroxide (H2O2) is a central oxidant in redox biology due to its pleiotropic role in physiology and pathology. However, real-time monitoring of H2O2 in living cells and tissues remains a challenge. We address this gap with the development of an optogenetic hydRogen perOxide Sensor (oROS), leveraging the bacterial peroxide binding domain OxyR. Previously engineered OxyR-based fluorescent peroxide sensors lack the necessary sensitivity or response speed for effective real-time monitoring. By structurally redesigning the fusion of Escherichia coli (E. coli) ecOxyR with a circularly permutated green fluorescent protein (cpGFP), we created a novel, green-fluorescent peroxide sensor oROS-G. oROS-G exhibits high sensitivity and fast on-and-off kinetics, ideal for monitoring intracellular H2O2 dynamics. We successfully tracked real-time transient and steady-state H2O2 levels in diverse biological systems, including human stem cell-derived neurons and cardiomyocytes, primary neurons and astrocytes, and mouse neurons and astrocytes in ex vivo brain slices. These applications demonstrate oROSs capabilities to monitor H2O2 as a secondary response to pharmacologically induced oxidative stress, G-protein coupled receptor (GPCR)-induced cell signaling, and when adapting to varying metabolic stress. We showcased the increased oxidative stress in astrocytes via A{beta}-putriscine-MAOB axis, highlighting the sensors relevance in validating neurodegenerative disease models. oROS is a versatile tool, offering a window into the dynamic landscape of H2O2 signaling. This advancement paves the way for a deeper understanding of redox physiology, with significant implications for diseases associated with oxidative stress, such as cancer, neurodegenerative disorders, and cardiovascular diseases.

bioengineering↗

bioRxiv2023

Machine Learning Ensemble Directed Engineering of Genetically Encoded Fluorescent Calcium Indicators.

Real-time monitoring of biological activity can be achieved through the use of genetically encoded fluorescent indicators (GEFIs). GEFIs are protein-based sensing tools whose biophysical characteristics can be engineered to meet experimental needs. However, GEFIs are inherently complex proteins with multiple dynamic states, rendering optimization one of the most challenging problems in protein engineering. Most GEFIs are engineered through trial-and-error mutagenesis, which is time and resource-intensive and often relies on empirical knowledge for each GEFI. We applied an alternative approach using machine learning to efficiently predict the outcomes of sensor mutagenesis by analyzing established libraries that link sensor sequences to functions. Using the GCaMP calcium indicator as a scaffold, we developed an ensemble of three regression models trained on experimentally derived GCaMP mutation libraries. We used the trained ensemble to perform an in silico functional screen on a library of 1423 novel, untested GCaMP variants. The mutations were predicted to significantly alter the fluorescent response, and off-rate kinetics were advanced for verification in vitro. We found that the ensembles predictions of novel variants biophysical characteristics closely replicated what we observed of the variants in vitro. As a result, we identified the novel ensemble-derived GCaMP (eGCaMP) variants, eGCaMP and eGCaMP+, that achieve both faster kinetics and larger fluorescent responses upon stimulation than previously published fast variants. Furthermore, we identified a combinatorial mutation with extraordinary dynamic range, eGCaMP2+, that outperforms the tested 6th, 7th, and 8th generation GCaMPs. These findings demonstrate the value of machine learning as a tool to facilitate the efficient prescreening of mutants for functional characteristics. By leveraging the learning capabilities of our ensemble, we were able to accelerate the identification of promising mutations and reduce the experimental burden associated with screening an entire library. Machine learning tools such as this have the potential to complement emerging high-throughput screening methodologies that generate massive datasets, which can be tedious to analyze manually. Overall, these findings have significant implications for developing new GEFIs and other protein-based tools, demonstrating the power of machine learning as an asset in protein engineering.

bioengineering↗

bioRxiv2022

Improved Version of ChETA Promotes Aggression in the Medial Amygdala

The development of optogenetic tools has significantly advanced our understanding of neural circuits and behavior. The medial amygdala, posterior dorsal subdivision (MeApd) is part of a distributed network controlling social behaviors such as mating and aggression. Previous work showed that activation of GABAergic neurons in mouse MeApd using channelrodopsin-2 (ChR2H134R) promoted aggression. In a recent study, Baleisyte et al. (2022) confirmed these findings using the same reagents (i.e. ChR2H134R), but also reported that a different ChR2 variant with faster kinetics--ChETA--inhibited rather than promoted aggression when high laser power, long duration photostimulation conditions were used. As ChETA is known to have a substantially lower photocurrent than ChR2 and other opsins, an improved version of ChETA (i.e. ChR2E123T/T159C; ChETATC) was subsequently developed. ChETATC has larger photocurrents than the original ChETA while maintaining fast kinetics and low plateau depolarization. Here we show that activating MeApd GABAergic neurons using the improved ChETATC promotes aggression, similar to ChR2H134R, suggesting that the results obtained using the original ChETA are not due to a difference in channel kinetics. Furthermore, we found that ChETATC is capable of driving a rapid onset of aggression within 200-300 milliseconds of stimulation, suggesting that this effect reflects direct activation of MeApd GABAergic neurons. We conclude that the different behavioral phenotypes observed using the original ChETA vs. ChETATC and ChR2 likely reflects the weaker photocurrents in ChETA vs. other opsins, and/or the long duration/high power photostimulation conditions used with ChETA. Consistent with this conclusion, the results obtained using ChR2 or ChETATC are complementary to findings from loss-of-functions experiments using optogenetic inhibition, chemogenetic inhibition, and neuronal ablation. These data support a positive-acting role of MeApd Vgat+ neurons in aggression. Our findings, in conjunction with studies of Berndt et al. (2011), suggest that the improved ChETATC should be used when faster kinetics than ChR2 offers are required.

neuroscience↗

bioRxiv2022

Opto-MASS: a high-throughput engineering platform for genetically encoded fluorescentsensors enabling all optical in vivo detection of monoamines and neuropeptides

Fluorescent sensor proteins are instrumental for detecting biological signals in vivo with high temporal accuracy and cell-type specificity. However, engineering sensors with physiological ligand sensitivity and selectivity is difficult because they need to be optimized through individual mutagenesis in vitro to assess their performance. The vast mutational landscape proteins constitute an obstacle that slows down sensor development. This is particularly true for sensors that require mammalian host systems to be screened. Here, we developed a novel high-throughput engineering platform that functionally tests thousands of variants simultaneously in mammalian cells and thus allows the screening of large variant numbers. We showcase the capabilities of our platform, called Optogenetic Microwell Array Screening System (Opto-MASS), by engineering novel monoamine and neuropeptide in vivo capable sensors with distinct physiological roles at high-throughput.

bioengineering↗

bioRxiv2021

Bipartite binding and partial inhibition links DEPTOR and mTOR in a mutually antagonistic embrace

mTORC1 is a kinase complex regulating cell growth, proliferation and survival. Because mis-regulation of DEPTOR, an endogenous mTORC1 inhibitor, is associated with some cancers, we reconstituted mTORC1 with DEPTOR to understand its function. We find that DEPTOR is a unique partial mTORC1 inhibitor that may have evolved to preserve feedback inhibition of PI3K. Counterintuitively, mTORC1 activated by RHEB or oncogenic mutation is much more potently inhibited by DEPTOR. Although DEPTOR partially inhibits mTORC1, mTORC1 prevents this inhibition by phosphorylating DEPTOR, a mutual antagonism that requires no exogenous factors. Structural analyses of the mTORC1/DEPTOR complex showed DEPTORs PDZ domain interacting with the mTOR FAT region, and the unstructured linker preceding the PDZ binding to the mTOR FRB domain. Here we show, in contrast to previous cellular studies, that both the PDZ and linker regions are essential for inhibition, and it is likely that interaction with the FRB is crucial to the unique partial inhibition.

biochemistry↗

bioRxiv2021

Behavior emerges from unstructured muscle activity in response to neuromodulation

Identifying neural substrates of behavior requires defining actions in terms that map onto brain activity. Brain and muscle activity naturally correlate via the output of motor neurons, but apart from simple movements it has been difficult to define behavior in terms of muscle contractions. By mapping the musculature of the pupal fruit fly and comprehensively imaging muscle activation at single cell resolution, we here describe a multiphasic behavioral sequence in Drosophila. Our characterization identifies a previously undescribed behavioral phase and permits extraction of major movements by a convolutional neural network. We deconstruct movements into a syllabary of co-active muscles and identify specific syllables that are sensitive to neuromodulatory manipulations. We find that muscle activity shows considerable variability, which reduces upon neuromodulation. Our work provides a platform for studying whole-animal behavior, quantifying its variability across multiple spatiotemporal scales, and analyzing its neuromodulatory regulation at cellular resolution.

neuroscience↗