Biology subjects

Lee, D.

Publications and source records attributed to Lee, D..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

A GPCR signaling pathway in insect odor detection

Odor detection differs fundamentally in vertebrates, which use G protein-coupled receptors (GPCRs)1,2, and insects, which employ ion channels3,4. Here, we report the first evidence for a GPCR defining tuning properties of insect olfactory sensory neurons. Single-cell transcriptomics of the Drosophila melanogaster antenna identified selective expression of the G{gamma}30A subunit in acid-sensing Ir64a-DC4 neurons5,6. G{gamma}30A is essential for broadening responses to long-chain acids, acting with Gs, G{beta}13F, adenylate cyclase Ac13E and the Cngl channel. We further discovered that Cirl, a latrophilin-family GPCR7, is broadly-transcribed in the antenna but the protein is localized only in Ir64a-DC4 sensory cilia, dependent upon G{gamma}30A, but not Ir64a. Importantly, loss of Cirl also narrows Ir64a-DC4 tuning properties. Homologous neurons in Drosophila sechellia naturally exhibit narrow acid tuning, despite functional conservation of Ir64a; these differences correlate instead with lower expression of metabotropic components. Our findings reveal unexpected roles for GPCR/metabotropic signaling in olfactory detection and divergence in insects.

neuroscience↗

bioRxiv2025

AGO1 in neural progenitor cells orchestrates brain development and sociability via LIN28A-REELIN axis

AGO1, an essential RNA binding protein (RBP) in RNA interference, is associated with autism spectrum disorder (ASD). However, the precise functions of AGO1 in brain development and related disorders remain largely unexplored. Here, we report the critical roles of AGO1 in neural progenitor cells (NPCs) in promoting sociability and shaping the structure of the developing brain. Ago1 knockout (KO) in the mouse brain leads to hyposociability, a characteristic symptom of ASD. In human forebrain organoids, AGO1 KO disrupts the formation of ventricle-like structures and delays cortical layer development. We discovered that AGO1 KO results in a loss of polarity in NPCs, which subsequently reduces neuronal development. These AGO1 KO phenotypes originate from the failure to suppress LIN28A in NPCs. AGO1 is primarily localized in the nucleus within NPCs and binds to the LIN28A promoter region, thereby inhibiting LIN28A transcription. We found that increased LIN28A in AGO1 KO NPCs reduces REELIN expression, a key regulator of brain development, by binding directly to the REELIN mRNA. The aberrant polarity phenotype in AGO1 KO NPCs was successfully ameliorated by either LIN28A knockdown or recombinant REELIN treatment. Collectively, our findings elucidate the intricate molecular mechanisms orchestrated by nuclear AGO1 in NPCs and underscores its pivotal roles in brain development, providing significant insights into ASD.

neuroscience↗

bioRxiv2025

Bioinformatic process for the identification and characterization of bacterial repeat-in-toxin adhesins

Gram-negative bacteria attach to host surfaces using ligand-binding domains (LBDs) at the distal tips of fibrillar RTX adhesins. Blocking the initial binding interaction(s) can potentially prevent colonization and subsequent biofilm formation and infection. To this end, adhesins must be identified, and it is also essential to determine the dominant adhesin type for those species that have more than one. RTX adhesins are frequently the largest proteins within each species (ranging from 1500 to 15,000 aa) and are often misannotated as incomplete/pseudogene products because their highly repetitive nature confounds genome assemblies from short-read technologies. Our bioinformatic process collates predicted proteins from long-read assemblies, which are then clustered based on the similarity of their C-terminal regions where the LBDs are typically located. RTX adhesins are identified by their length and domain structure and are modelled using AlphaFold3. An exhaustive search of multiple strains from seven species revealed a total of 35 different RTX adhesins that map to 16 different loci, with differing arrangements of LBDs that include putative carbohydrate-binding modules and von Willebrand Factor A-like domains. Notably, similar adhesins are sometimes found in multiple species, either by descent or through DNA uptake, and three species have an RTX adhesin of uncertain function because it lacks an obvious LBD. ImportanceMany bacteria initiate infection by reaching out with large, complex proteins called adhesins to attach themselves to a host cell. The DNA sequences of adhesins are difficult to read, due to their length and repetitiveness. This study leverages recent technological advances like "long-read sequencing" and structural modelling to identify and characterize the adhesins in seven species of harmful bacteria: Acinetobacter baumannii, Aeromonas hydrophila, Aeromonas salmonicida, Bordetella parapertussis, Legionella pneumophila, Vibrio parahaemolyticus, and Vibrio vulnificus. We identified thirty-five unique versions of adhesins and demonstrated their mix-and-match architecture. This research provides a foundation for strategies to block bacteria from binding surfaces, offering a vital alternative treatment as antibiotic resistance continues to rise.

biochemistry↗

bioRxiv2025

Empirical optimization of dual-sgRNA design for in vivo CRISPR/Cas9-mediated exon deletion in mice

CRISPR/Cas9 has transformed gene editing, enabling precise genetic modifications across species. However, existing sgRNA design prediction models based on in vitro data are difficult to generalize to in vivo contexts. In particular, approaches based on single-sgRNA design require additional filtering of in-frame mutations, which is inefficient in terms of both time and cost. In this study, we developed the first mammalian in vivo-trained prediction model to evaluate the efficiency of a dual-sgRNA-based exon deletion strategy. Using 230 editing outcomes of postnatal viable individuals, eight prediction models were constructed and evaluated based on generalized linear models and random forests. The final selected model, a Combined GLM, integrated the DeepSpCas9 score with k-mer sequence features, achieving an AUC of 0.759 (95% Confidence Interval: 0.697-0.821). Motif analysis revealed that CC sequences were associated with high efficiency and TT sequences were associated with low editing efficiency. This study demonstrates that integrating sequence-based features with existing design scores can improve sgRNA efficiency prediction in vivo. The proposed framework can be applied to the development of next-generation sgRNA design tools, with direct implications for gene therapy, effective animal model generation, and precision genome engineering. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/675005v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@12e6170org.highwire.dtl.DTLVardef@1ff2599org.highwire.dtl.DTLVardef@1fd61dborg.highwire.dtl.DTLVardef@23a426_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

De novo and scaffold-based design of GDF15 binders for cancer cachexia diagnostics and therapeutics

Growth differentiation factor 15 (GDF15), a stress-responsive cytokine of the TGF-{beta} superfamily, is elevated in cancer cachexia, chemotherapy-induced nausea, and hyperemesis gravidarum, making it both a biomarker and a therapeutic target. Here, we developed high-affinity GDF15 binders using an AI-driven protein design framework. To achieve this, we systematically explored three complementary scaffold-generation strategies: scaffold grafting (SG), diffusion-based de novo design, and scaffold-search and grafting (SSG), identifying distinct advantages - SG rapidly optimized receptor-derived motifs to subnanomolar affinity; de novo diffusion produced topologically novel binders; and SSG enabled access to GDF15s concave site B by repurposing evolutionary structural analogs from natural complexes. The designed GDF15 binders were translated into two functional modalities. First, a one-step, wash-free luminescent biosensor was created by coupling a de novo binder to split-luciferase fragments, enabling the rapid and sensitive quantification of GDF15. Second, the highest-affinity binder was engineered as an Fc-fusion decoy receptor, thereby effectively neutralizing GDF15 signaling in cell-based assays (IC50 = 7.2 nM), demonstrating comparable in vitro potency to ponsegromab, a monoclonal antibody currently undergoing Phase II clinical trials. Together, this work establishes a versatile AI-driven binder design pipeline with broad potential for next-generation diagnostics and therapeutics in cancer cachexia and other GDF15-mediated diseases.

bioengineering↗

bioRxiv2025

GCN5-TADA2B in the SAGA complex provide constitutive fine-tuning control of XRCC1 recruitment and focal retention at DNA damage sites.

The scaffolding protein XRCC1 orchestrates base excision repair (BER) and DNA single strand break repair (SSBR) through extensive protein-protein interactions, and its disruption contributes to human neurological diseases such as SCAR26. Recruitment to DNA damage sites has been traditionally understood to depend exclusively on interaction with PARP1 and PARP1 mediated PARylation. Here, we report for the first time the discovery of GCN5 and TADA2B, components of histone acetyltransferase module of SAGA complex, as novel XRCC1 binding partners that provide critical fine-tuning control over repair site localization. We demonstrate that these SAGA complex components bind XRCC1 constitutively via distinct BRCT domain interactions -- GCN5 mainly to BRCT I and TADA2B mainly to BRCT II -- independent of DNA damage status or GCN5s acetyltransferase activity. Depletion of either protein significantly impairs XRCC1 recruitment efficiency, while paradoxically rescuing focal retention defects in BRCT II deficient XRCC1 mutants. This dual regulatory behavior reveals a regulatory mechanism where constitutive protein interactions optimize normal XRCC1 function but become counterproductive when XRCC1 is structurally compromised, particularly in the BRCT II domain. Analysis of the SCAR26 associated variant, which disrupts TADA2B binding while maintaining LIG3 interaction, confirms this dual regulatory model and provides molecular insights into potential disease pathophysiology. Our findings establish a ready-for-action model of DNA repair coordination where protein complexes pre-organize repair machinery for immediate deployment upon damage detection, expanding our understanding of BER regulation.

cell biology↗

bioRxiv2025

Rapid CAR Screening and circRNA-driven CAR-NK Cells for Persistent Shed-resistant Immunotherapy

Chimeric antigen receptor (CAR)-based immunotherapies against solid tumors face two major hurdles, the "decoy effect" of shedding antigens that sequester CARs, and the limited persistence of immune effectors within the immunosuppressive tumor microenvironment. Here, we present a mechanistic approach to overcome these barriers by integrating a physiologically relevant screening platform with circular RNA (circRNA) engineering. Unlike conventional screens using immortalized cell lines, we performed rapid functional screening directly in human primary natural killer (NK) cells to identify a novel scFv, CLMS10. Structural modeling revealed that CLMS10 targets a membrane-proximal epitope that overlaps the proteolytic cleavage site, thereby evading inhibition by soluble mesothelin (solMSLN). Furthermore, we demonstrated that circRNA-mediated CAR expression, when codelivered with interleukin-21 (IL-21), confers sufficient stability to withstand the continuous antigen shedding induced by cancer-associated fibroblasts (CAFs), resulting in reduced CAR downregulation. In an in vivo metastatic pancreatic cancer model, IL-21-augmented circCAR-MS10-NK cells exhibited potency comparable to that of lentivirally engineered CAR-NK cells while offering superior manufacturability. Overall, this study establishes a paradigm for generating shed-resistant CAR therapeutics through the strategic integration of epitope-specific functional selection and enhanced RNA stability.

bioengineering↗

bioRxiv2025

In vivo bioreactor matures iPSC-CMs for MLP disease modeling

Muscle LIM protein (MLP) is a critical regulator of cardiomyocytes (CMs) cytoarchitecture, and its deficiency results in late-onset dilated cardiomyopathy (DCM) in both mice and human. However, recapitulating this phenotype in vitro using induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been challenging largely due to their immature state. Here, we generated MLP knockout (MLP-KO) mouse iPSCs and differentiated them into CMs. We then employed both conventional in vitro and in vivo transplantation approach using immunocompromised rat hearts to promote cardiomyocytes maturation. Our results showed that while in vitro-matured MLP-KO iPSC-CMs failed to exhibit disease phenotypes, in vivo-matured MLP-KO iPSC-CMs successfully recapitulated the hallmarks of DCM, including disrupted sarcomeric architecture and upregulation of atrial natriuretic peptide (ANP), closely mirroring disease progression observed in MLP-deficient mice. These findings demonstrate that the in vivo maturation environment is essential for the maturation of iPSC-derived cardiomyocytes to better model genetic cardiac diseases like DCM and provide valuable insights for future therapeutic strategies.

bioengineering↗

bioRxiv2025

AXL tyrosine kinase inhibition rescues immune checkpoint blockade-resistant melanoma in a tumor microenvironment-dependent fashion

BackgroundImmune checkpoint blockade (ICB) achieves durable responses in approximately half of patients with advanced melanoma, but the mechanistic basis for resistance in the remaining patients remains incompletely defined. AXL tyrosine kinase has emerged as a candidate resistance mediator, yet clinical development of AXL inhibitors has yielded heterogeneous results in unselected patient populations, suggesting that cell-type and tumor microenvironment context may critically govern therapeutic response. MethodsWe characterized AXL expression across cell types in ICB-resistant melanoma using publicly available single-cell RNA sequencing datasets and The Cancer Genome Atlas (TCGA). In vivo efficacy was assessed in the YUMM1.7 PD-1-resistant syngeneic melanoma model using three pharmacologically distinct AXL inhibitors (warfarin, bemcentinib, and cabozantinib) as monotherapy and in combination with anti-PD-1 therapy. Tumor-associated macrophage (TAM) context-dependency was established using anti-CSF1R and anti-F4/80 depletion strategies. Functional PD-L1:PD-1 checkpoint interactions were quantified in tumor sections by immune Forster Resonance Energy Transfer (iFRET). TAM secretome reprogramming was characterized by 40-plex Luminex immunoassay in polarized RAW264.7 macrophages. ResultsAXL expression in ICB-resistant melanoma was predominantly localized to TAMs rather than tumor cells by single-cell analysis, with AXL+ TAMs distributed across both M1-like and M2-like phenotypic compartments. AXL inhibition significantly reduced tumor burden and synergized with anti-PD-1 therapy in vivo; however, efficacy was abolished by depletion of the monocyte-derived myeloid compartment (anti-CSF1R) and enhanced by depletion of tissue-resident TAMs (anti-F4/80), establishing TAM-context dependency. iFRET revealed a paradoxical gain of PD-L1:PD-1 interaction efficiency in anti-PD-1-treated resistant tumors, a functional resistance signature detectable by iFRET but not by PD-L1 expression that was reversed by AXL combination therapy. In vitro secretome profiling demonstrated that combination therapy reprograms macrophage secretome in a polarization-context-dependent manner, amplifying pro-inflammatory cytokines including IL-6 and GM-CSF in M2-like macrophages while selectively dampening T cell chemokine production. ConclusionsThese findings establish AXL as a TAM-resident immune target in ICB-resistant melanoma whose therapeutic relevance is governed by tumor-immune micronenvironment (TiME) macrophage composition rather than tumor cell AXL expression. TAM polarization contexture represents a candidate stratification axis for AXL inhibitor-based combination strategies, and iFRET-measured checkpoint interaction offers a functional complement to PD-L1 expression for monitoring resistance and response. Key MessagesO_ST_ABSWhat is already known on this topicC_ST_ABSO_LIAXL tyrosine kinase has been studied predominantly as a tumor-intrinsic mesenchymal marker and therapeutic target in melanoma, with prior clinical development of AXL inhibitors predicated on tumor cell AXL expression as the primary biomarker; the contribution of TAM-expressed AXL to ICB resistance and the dependence of therapeutic response on TiME composition have not been defined. C_LI What this study addsO_LIAXL expression in ICB-resistant melanoma is predominantly localized to tumor-associated macrophages distributed across both M1-like and M2-like phenotypic compartments, reframing AXL as a TAM immune target whose therapeutic relevance is governed by TiME macrophage composition rather than tumor cell AXL expression. C_LIO_LICombination AXL inhibition and anti-PD-1 reprograms the macrophage secretome in a polarization-context-dependent manner and reverses a paradoxical gain of functional PD-L1:PD-1 checkpoint interaction in resistant tumors -- a resistance signature detectable by spatial iFRET but not by PD-L1 expression. C_LI How this study might affect research, practice or policyO_LIThe context-dependent effects of AXL inhibition (immunostimulatory in M2-heavy TiMEs, potentially counterproductive in M1-heavy TiMEs) indicate that TAM polarization profiling should be incorporated into clinical trial design for AXL inhibitor-based combinations, and that unselected enrollment may obscure meaningful efficacy signals in the subset most likely to benefit. C_LIO_LIiFRET-based quantification of functional checkpoint interaction represents a candidate dynamic biomarker for ICB resistance monitoring that is orthogonal to PD-L1 immunohistochemistry and may identify resistant patients who retain immunosuppressive checkpoint interactions that can be disrupted by AXL targeting. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=170 HEIGHT=200 SRC="FIGDIR/small/667666v2_ufig1.gif" ALT="Figure 1"> View larger version (90K): org.highwire.dtl.DTLVardef@521de1org.highwire.dtl.DTLVardef@127a933org.highwire.dtl.DTLVardef@d56132org.highwire.dtl.DTLVardef@e03ef9_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

Hierarchically ordered multi-timescale structural dynamics of the intrinsically disordered p53 transactivation domain

Intrinsically disordered proteins (IDPs) exhibit pronounced structural dynamics, which is crucial for their functional versatility. Yet their dynamics slower than nanoseconds remain largely elusive. We combined high-power relaxation dispersion nuclear magnetic resonance spectroscopy with molecular dynamics simulations to characterize these kinetics and the underlying structural interconversions of a prototypical IDP, the N-terminal transactivation domain of the tumor suppressor p53 (p53-TAD). We find a complex hierarchy of structural dynamics on timescales covering over seven orders of magnitude, ranging from fast nanoseconds backbone re-orientations, via sub-microsecond helix-formation dynamics involving many structural sub-states and transition times, to transient tertiary structure formation slower than 25 microseconds. These rich structural dynamics of p53-TAD, and likely those of other IDPs, parallel the timescale hierarchy of the conformational dynamics of folded proteins. One-Sentence summaryA hierarchical energy landscape governs kinetics and structural dynamics of the disordered p53 transactivation domain.

biophysics↗

bioRxiv2025

LCK-targeting molecular glues overcome resistance to inhibitor-based therapy in T-cell acute lymphoblastic leukemia

Drug resistance is a major challenge in cancer therapy, especially in the context of kinase inhibitors. While targeted protein degradation (TPD) was a distinct mode of action compared to inhibition-based therapeutic targeting, the potential value of TPD in drug-resistant cancer remains unclear. Here, we report the discovery of cereblon-recruiting molecular glue degraders (MGDs) targeting LCK, an oncogenic kinase in T-cell acute lymphoblastic leukemia (T-ALL). By high-throughput screening and medicinal chemistry optimization, we developed a series of MGDs that induced CRBN-dependent degradation of LCK as well as potent cytotoxicity in T-ALL in vitro. Structure-activity relationship analysis and ternary complex modeling revealed a non-canonical degron at the LCK-CRBN interface involving the G-loop, whose mutation disrupts this interaction. Unlike inhibitors and inhibitor-based PROTACs, these MGDs engage LCK in regions distal to the ATP binding site and thus their activities in T-ALL are not affected by gate-keeper LCK mutations that drive resistance to inhibitor-based therapeutics. Taken together, our data underscore the potential of LCK-targeting MGDs as a strategy to overcome kinase inhibitor resistance in T-ALL, highlighting a potentially generalizable strategy in cancer therapy.

cancer biology↗

bioRxiv2025

Blockade of VCAM1 or VLA4 preserves cerebrovasculature and prevents cognitive decline late after stroke

Infarct-induced neurodegeneration occurs chronically after stroke, doubling the risk of dementia. Endothelial vascular cell adhesion molecule 1 (VCAM1) facilitates blood-brain barrier opening and immune cell diapedesis by binding very late antigen 4 (VLA4) on immune cells. We hypothesized that vascular dysfunction persists after stroke and contributes to chronic neuroinflammation and cognitive decline via signaling through the VLA4/VCAM1 axis. We used adult (3-5 month old) and middle-aged (10 month old) C57BL/6J male & female mice and a permanent middle cerebral artery occlusion stroke model. Sham surgery consisted of an identical procedure without occlusion of the artery. We quantified vascular integrity using blood vessel length, pericyte coverage of vasculature, tight junctions, and extravascular fibrinogen leakage by immunostaining. Cognitive testing was performed using both Barnes maze and novel object recognition prior to stroke, and 1 and 6 weeks after stroke, and replicated in both male and female mice. We utilized anti-VCAM1, anti-VLA4 or isotype control antibodies to block VCAM1 or VLA4 function, and then to confirm mechanisms we utilized single cell RNA sequencing on immune and endothelial cells, aptamer-based plasma proteomics, and additional immunostaining for vascular integrity. Mouse brains exhibited signs of persistent vascular dysfunction and loss of blood-brain barrier integrity at 8 weeks after stroke, compared to sham animals. We observed reduced ZO-1 tight junction and pericyte coverage of vasculature, and increased extravascular fibrinogen. Mice with stroke also developed a cognitive deficit in both Barnes maze and novel object by 6 weeks. Treatment with anti-VCAM1 or anti-VLA4 resulted in mice with stroke performing as well as sham mice treated with isotype control antibody on both the Barnes maze and novel object recognition tasks. Anti-VCAM1 and anti-VLA4 both increased expression of blood-brain barrier maintenance genes in brain endothelial cells, while only minimally altering immune cell gene expression. Immune cell infiltration was reduced by anti-VCAM1 but not anti-VLA4 in tissue sections. In contrast to this, both antibodies increased blood vessel length and pericyte vascular coverage. Finally, extravascular fibrinogen was reduced by both antibody treatments in multiple brain regions. Together, our findings establish the VLA4/VCAM1 axis as a promising target to preserve vascular integrity and prevent cognitive decline late after stroke. Our data is consistent with a model where blocking either VCAM1 or VLA4 chronically after stroke promotes new blood vessel growth and maturation and restores the blood-brain barrier to prevent infarct-induced neurodegeneration.

neuroscience↗

bioRxiv2025

Transposon-plasmid nesting enables fast response to fluctuating environments

Mobile genetic elements (MGEs) play a critical role in shaping the response and evolution of microbial populations and communities. Despite distinct maintenance mechanisms, different types of MGEs can form nested structures. Using bioinformatics analysis of 14,338 plasmids in the NCBI RefSeq database, we found transposons to be widespread and significantly enriched on plasmids relative to chromosomes, highlighting the prevalence of transposon-plasmid nesting. We hypothesized that this nested structure provides unique adaptive advantages by combining transposition-driven genetic mobility with plasmid-mediated copy number amplification. Using engineered transposon systems, we demonstrated that nesting enables rapid and tunable responses of transposon-encoded genes in fluctuating environments. Specifically, transposition maintains a reservoir of the encoded genes, while plasmid copy number fluctuations further amplify the dynamic range of gene dosage, thus enhancing the response speed and stability of transposon-encoded traits. Our findings demonstrate an adaptive benefit of transposon-plasmid nesting and provide insights into their ecological persistence and evolutionary success.

systems biology↗

bioRxiv2025

Predictive Modeling of Immune Escape and Antigenic Grouping of SARS-CoV-2 Variants

The ongoing adaptive evolution of SARS-CoV-2 is characterized by the continued emergence of novel variants that escape from previously acquired infection- and/or vaccination-derived immunity. This continued SARS-CoV-2 variant evolution has necessitated annual vaccine updates to better match circulating viral variants. To optimize protection against emerging variants of interest and concern, a reliable means of predicting the immune escape of novel variants is needed to enable at-risk preparation of new vaccines. Herein, we describe the development and applications of a risk calculator that uses statistical modeling to predict the immune escape of emerging variants. The calculator utilizes previously published spike-antibody epitope and escape profiles and in vitro neutralization assessment of a large panel of pseudotyped SARS-CoV-2 variants evaluated against clinical sera. The calculator enables the grouping of antigenically related SARS-CoV-2 variants to guide strain selection for at-risk vaccine design and preparation, in anticipation of potential future requests by the global public health agencies. Here, we demonstrated the strain selection exercises for the XBB.1.5- and JN.1/KP.2-adapted mRNA-1273 COVID-19 vaccines in the 2023-2024 and 2024-2025 seasons, respectively, which were supported by both the risk calculator and preclinical and clinical immunogenicity data and were later recommended by the global public health agencies.

immunology↗

bioRxiv2025

Genetic background influences the heterogeneous phenotypes driven by the MAFAS64F MODY variant in male mice

Pancreatic {beta}-cells require the coordinated expression of transcription factors such as MAFA to dynamically secrete insulin to maintain euglycemia. A naturally occurring mutation in MAFA (MAFAS64F) produces a long-lived variant protein which predisposes carriers to dichotomous conditions of either maturity (adult)-onset diabetes of the young (MODY) or hypoglycemia in a sex-dependent manner. Here we show that genetic background modulates disease penetrance in MafAS64F/+ male mice. Specifically, MafAS64F/+ males backcrossed to a C57/Bl6J ("C57") background prevented dysglycemia, while C57 MafAS64F/+ males bred one generation to an SJL/J background ("mixed") manifested overt diabetes, impaired insulin secretion, and accelerated {beta}-cell senescence. MafA protein levels, phosphorylation status, and target gene expression in C57 MafAS64F/+ male islets were more comparable to wildtype males. RNA sequencing of C57 MafAS64F/+ male islets revealed fewer differentially expressed genes than mixed background male islets, including transcriptional signatures of {beta}-cell senescence. In addition, retinoic acid signaling, another signature of cellular aging, was uniquely downregulated in C57 MafAS64F/+ male islets. Indeed, core retinoic acid signaling receptor RAR and known target genes were downregulated in C57 MafAS64F/+ male islets. CUT&RUN mapping revealed that MafA directly impacted retinoic acid receptor alpha Rara expression. In sum, these data show that genetic factors can impact unique pathways to modulate disease penetrance in mice modeling MAFA-MODY. Article HighlightsO_LIGenetic background in mice or ancestry in humans can profoundly influence diabetes susceptibility. C_LIO_LIWe asked whether diabetes penetrance in our robust mouse model of MAFA-MODY on a mixed genetic background was impacted when backcrossed to C57/Bl6J ("C57"). C_LIO_LIHere we show that C57 MafAS64F/+ males have wildtype glucose-sensing properties, compared to overt diabetes which could be reproducibly re-created on a mixed background. Further analysis disclosed more muted gene expression changes in C57 MafAS64F/+ male islets including unique downregulation of senescence and retinoic acid signaling. C_LIO_LIThese results illustrate the influence of genetic landscape on {beta}-cell function in response to a pathogenic MODY variant. C_LI

physiology↗

bioRxiv2025

Intercellular communication in the brain via dendritic nanotubular network

Recent studies have identified intercellular networks for material exchange by bridge-like nanotubular structures, yet their existence in neurons remains unexplored within the brain. Here, we identified long, thin dendritic filopodia that establish direct dendrite-to-dendrite contacts, forming dendritic nanotubes (DNTs) in mammalian brains. Using super-resolution microscopy, we characterized their unique molecular composition and dynamics in dissociated neurons, enabling Ca2+ propagation over distances. Utilizing imaging and machine-learning-based analysis, we confirmed the in situ presence of DNTs connecting dendrites to other dendrites whose anatomical features are distinguished from synaptic dendritic spines. DNTs mediate the active transport of small molecules or human amyloid-beta (A{beta}), implicating the role of DNT network in AD pathology. Notably, DNT levels increased prior to the onset of amyloid plaque deposits in the mPFC of APP/PS1 mice. Computational simulations predicted the progression of amyloidosis, providing insight into the mechanisms underlying neurodegeneration through these DNTs. This study unveils a previously unrecognized nanotubular network, highlighting another dimension of neuronal connectivity beyond synapses.

neuroscience↗

bioRxiv2025

Shared and distinct cortical mechanisms for working memory and decision-making.

The dorsolateral prefrontal cortex (DLPFC) and lateral intraparietal cortex (LIP) in the primate brain are critically involved in working memory during tasks that require the retention of information over a delay. These same regions have also been implicated in reinforcement learning (RL), where information about an animals choice and its outcome is retained to update future reward expectations based on past experiences. We investigated whether spatial memory, required across different behavioral contexts, relies on a shared neural mechanism. To explore this, we analyzed neural activity recorded from rhesus monkeys engaged in three distinct tasks--the oculomotor delayed response task (ODR), a visual search task, and the matching pennies game--each requiring the retention and use of similar spatial information under different cognitive demands. The ODR task demands only prospective memory, as the selection of action is dictated by the location of visual cue, and the subject must retain this intended action for execution after a temporal delay. In contrast, the matching pennies task engages both retrospective and prospective memory: retrospective memory of previous choice and its outcome to inform decision-making, while prospective memory is needed to carry out that decision. Visual search task, by comparison, does not explicitly require either retrospective or prospective memory. Our analysis revealed that neural signals encoding retrospective memory of the animals choice in the visual search and matching pennies tasks were not correlated with the prospective working memory signals of visually cued locations in the ODR task, in either the DLPFC or LIP. Moreover, retrospective choice signals in the visual search and matching pennies tasks were not correlated with each other. In contrast, neural activity related to upcoming choices (prospective memory) in the LIP showed significant correlations across all three tasks. In the DLPFC, prospective choice signals were correlated between the visual search and ODR tasks, but not between those tasks and matching pennies. Additionally, in the DLPFC, neural signals representing previously rewarded choices were significantly correlated with working memory signals during the ODR task. These results suggest that the LIP supports a consistent, shared mechanism for prospective memory linking a committed action to its eventual execution. In contrast, the DLPFC might mediate the transformation of retrospective memory-integrating past choices and outcomes - into a decision and its associated prospective memory.

neuroscience↗

bioRxiv2025

Genome-wide association mapping and predictive modeling of wet bean mass in a diverse cacao collection

Improving cacao yield, a key objective in post-domestication crop improvement, remains a primary goal for breeders, but progress is often hindered by the confounding effects of population structure. To overcome this, we analyzed 346 diverse cacao accessions using an ML-based association mapping framework (with and without population structure adjustment) and a phenotype-only ML prediction of yield. By correcting for population structure, our Bootstrap Forest-based GWAS revealed association signals that showed consistent enrichment for ribosome and protein-synthesis functions, and a recurrent subset of SNPs with high importance appeared across multiple yield components, including pod index and seed number. In parallel, a Neural Network model was utilized to identify cotyledon mass and length as the most powerful predictors for total wet bean mass (R{superscript 2} = 0.715 by repeated five-fold cross-validation), suggesting a practical, low-cost screening proxy for breeding). Collectively, this study delivers a robust genetic framework and a novel predictive tool to accelerate the development of high-yielding cacao varieties through the early identification of elite clones.

genomics↗