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Wan, L.

Publications and source records attributed to Wan, L..

At least 19 recordsLinked to original sources

Autophagosome-tethering compounds selectively lower mutant ataxin-3 in preclinical models of spinocerebellar ataxia type 3

Spinocerebellar ataxia type 3 (SCA3) is most common subtype of autosomal dominant spinocerebellar ataxia worldwide and the most prevalent CAG expansion disorder in the east Asian population, but disease-modifying therapies remain unavailable. SCA3 is caused by the accumulation of polyglutamine- (polyQ-) expanded mutant ataxin-3 (mAtxn3), while the wild-type ataxin-3 (wtAtxn3) plays an important cellular role. Thus, allele-selective clearance of mAtxn3 without affecting wtAtxn3 is highly desired for SCA3 treatment. To achieve this goal, we tested previously reported compounds that have been shown to selectively degrade the Huntingtons disease causing mutant HTT protein by tethering the expanded polyQ to the autophagosome protein LC3. Here, we demonstrated that two of these compounds, AN2 and GW5074, selectively reduced both soluble and aggregated mAtxn3 with expanded polyQ (84Q), but not wtAtxn3, in both cellular and mouse models of SCA3. Mechanistically, both compounds lowered mAtxn3 by enhancing its autophagic degradation without obvious activation of global autophagy. At the molecular level, both compounds increased mAtxn3-LC3 interaction and colocalization to enhance the allele-selectively autophagic degradation of mAtxn3. Phenotypically, both compounds rescued cell viability and ATP content of SCA3 cellular models. In SCA3 patient pluripotent stem cells (iPSCs) derived cortical neurons, both compounds allele-selectively reduced mAtxn3 and partially rescued neurite shortening. Importantly, in a well-established SCA3 transgenic mouse model (MJD84.2), intracerebroventricular, intraperitoneal, and oral administration allele-selectively reduced mAtxn3 in multiple brain regions and rescued motor function deficits. Oral dosing achieved nanomolar cerebellar exposure and showed no overt liver, kidney, or glial toxicity over 28 days. Analyses of 1303 Chinese patients with SCA3 and ATXN3 constructs of different polyglutamine lengths further supported the compounds polyQ length-dependent activity with relative sparing of normal-length ataxin-3. Together, these findings provide preclinical proof of concept that utilizing orally available small molecule compounds to allele-selectively enhance mAtxn3 autophagic degradation for SCA3 treatment. One-sentence summarySmall-molecule autophagosome-tethering compounds selectively lower mutant ataxin-3 through an LC3- and autophagy-dependent mechanism and improve disease-related phenotypes in preclinical models of SCA3.

neuroscience↗

The Spliceosome Scaffold Component BCAS2 Promotes Pancreatic Cancer Progression through Weak 5 Splice Site Dependent Splicing Regulation

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest malignancies. Dysregulated RNA splicing has emerged as a critical mechanism contributing to PDAC progression. However, whether structural components of the spliceosome regulate oncogenic alternative splicing was not known. Here, we identify the nineteen complex (NTC) component BCAS2/SPF27 as a critical regulator of PDAC progression. Elevated expression of BCAS2 in PDAC is associated with poor patient outcomes. Transcriptomic analyses revealed that BCAS2 specifically regulates alternative exons with weak splice sites. In particular, BCAS2 promotes SOS1 exon 21 inclusion and consequently RAC-signaling activation. Furthermore, splice-switching antisense oligonucleotide (ASO) mediated skipping of SOS1 exon 21 suppressed PDAC proliferation and migration. Our findings uncover a role of BCAS2 in the regulation of weak splice site usage and identify the BCAS2/SOS1/RAC signaling axis as a potential therapeutic vulnerability in pancreatic cancer.

cancer biology↗

Combining Stability-Centered Atomistic Design with Machine Learning for Targeted Enzyme Optimization

FuncLib and high-throughput FuncLib (htFuncLib) generate diverse, functional protein libraries using a stability-centered design; however, this substrate-independent approach lacks target-specific functional constraints. We developed a machine-learning-assisted enzyme-engineering (MLEE) workflow that adds substrate-specific functional information to htFuncLib through an initial screening and sequencing round. The system was benchmarked using previously published four-position fitness landscapes of three different proteins. The MLEE workflow successfully generated compact libraries enriched in globally high-fitness variants. After the initial training phase, an MLEE-enriched library of just 12 variants increased the hit rate for the global top-0.05% variants by 5- to 12-fold relative to the htFuncLib baseline. Screening a larger set of 96 variants recovered at least one of these top-performing enzymes in 61.3-99.4% of the simulations. We then applied MLEE to MthUPO-catalyzed {beta}-damascone hydroxylation. Across two rounds, 506 distinct variants were screened and sequenced. While the initial substrate-independent htFuncLib library yielded 14% of variants with activity above the wild type, the MLEE-enriched library increased this hit rate to 90% (97 of 108 variants) with activity above the wild type. The best variant increased the turnover number for 4-hydroxy-{beta}-damascone by 11.8-fold and achieved >99% regioisomeric excess. MLEE may bypass the need for transition-state models and reduce the effort required for obtaining high-activity variants. TABLE OF CONTENT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/739108v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@1501d4aorg.highwire.dtl.DTLVardef@b32171org.highwire.dtl.DTLVardef@58b249org.highwire.dtl.DTLVardef@120f8a6_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

A Minimally Invasiveness Hybrid Brain-Computer Interface: A Distributed, Scalable and Evolvable Architecture for Whole Brain Access

Brain-computer interfaces face a fundamental trade-off between the signal fidelity and stimulation precision of noninvasive systems and the surgical burden and scalability of invasive systems. Non-invasive BCIs suffer from low signal quality and poor stimulation accuracy due to the skull barrier and the variability introduced by the scalp and skull. Existing invasive BCIs rely on traumatic surgical procedures or brain-penetrating electrodes, which limits their spatial extensibility, application, and patient acceptance. Here, we introduce a minimally invasive hybrid BCI architecture that uses the skull as a distributed interface layer rather than treating it solely as a barrier. The hybrid BCI comprises four integrated components: (1) the safe and smart micro-hole craniotomy; (2) distributed microelectrodes subcutaneously implanted in micro-holes in the skull with the distal end in contact with the dura; (3) an external bi-directional wearable headset for coupling, recording, stimulation, and channel selection; and (4) an AI-assisted planning and control agent. Animal studies have shown that micro-holes with a diameter of 300-800 m can be safely and conveniently prepared at any predefined locations across the skull without impairing the dura. In vivo experiments on rats demonstrate that the hybrid BCI with skull-implanted microelectrodes evidently increases resting-state spectral power and improves the signal-to-noise ratio of somatosensory and steady-state visual evoked responses compared to the scalp EEG; the computational modelling shows that distributed skull-dura microelectrodes can increase the intracranial electrical field strength and steer focused temporal-interference fields towards predefined deep brain targets. These findings will lay a solid foundation for future endeavors in wireless integration, safety evaluation and clinical benefits of the hybrid BCI. In summary, we propose the hybrid BCI as a distinct minimally invasive BCI paradigm with the great potential as a distributed, scalable, and upgradable neural interface that can expand the clinical application of minimally invasive BCI techniques.

bioengineering↗

Spatial mitochondrial lineage tracing uncovers a premetastatic niche and microenvironment programmed fate switching in osteosarcoma

Osteosarcoma progression involves complex spatiotemporal dynamics, yet the lineage relationships underlying tumor cell fate decisions remain poorly understood. Here we integrate single cell and spatial transcriptomics and mitochondrial variants-based lineage tracing to map the evolution of a late-stage, non-metastatic osteosarcoma. Single cell pseudotemporal reconstruction of malignant cells reveals a stepwise cascade of transcriptional programs that instructs bifurcation of COL3A1 progenitors into ALPL osteoblastic and THY1 mesenchymal lineages. Critically, we demonstrate that the metastatic THY1 mesenchymal cell fate is not governed by cell-autonomous transcriptional programs alone; this pro-tumorigenic state requires strict spatial licensing via direct co-localization with PLVAP dysfunctional endothelia to form a pro-metastatic niche (THY1_Endo) enriched for PTN/NOTCH signaling. To distinguish clonal ancestry from microenvironmental plasticity, we leveraged spatially resolved somatic mitochondrial variants as endogenous lineage tracers. A spatial autocorrelation filter confirmed significant clonal spatial coherence (Z = 10.07, p {approx} 4x10-{superscript 2}). Phylogenetic reconstruction using a Wright-Fisher drift model coupled with a hidden Markov tree (WF-HMT) revealed a striking directional transition rate from COL3A1 to THY1 tumor cells (724.08) versus the reverse (4.09)--a [~]177-fold asymmetry--whereas the COL3A1 to ALPL transition rate was lower (0.47). Notably, drift-agnostic coarse VAF clustering failed to resolve ALPL versus THY1 bifurcation, underscoring that explicit modeling of stochastic mitochondrial drift is essential for uncovering directional fate locking. We propose a "time-space-lineage" relay model where sequential microenvironmental signals program tumor cell fate and pre-metastatic niche assembly through irreversible clonal commitment. This multi-dimensional framework bridges single-cell states, spatial organization, temporal dynamics, and clonal ancestry --underscoring the power of somatic mitochondrial variants to resolve clonal history and intercept cancer evolution.

bioinformatics↗

Conserved TIR-only proteins drive transcriptional defense and basal immunity in dicot and monocot plants

Toll/interleukin-1/resistance (TIR) domain NADase enzymes signal in plant immunity by producing ribosylated nucleotide second messengers which activate EDS1 dimer-helper NLR pathways to restrict pathogen growth. Members of a small, distinctive group of TIR-only proteins are conserved between dicots and monocots, yet their functions remain poorly understood. Here, we show that conserved TIR-only proteins in Arabidopsis and barley share a fundamental enzymatic role in promoting basal defense against virulent filamentous pathogens, independently of NLR mediated effector-triggered immunity. Metabolite analysis of transiently expressed Arabidopsis and barley TIR-only proteins revealed their capacity to produce ribosylated cyclic nucleotides in vivo. By comparing phenotypes of tir-only and eds1 pad4 CRISPR mutants in the two species, as well as adr1 mutants in barley, we established that the TIR-only proteins promote PAMP-triggered transcriptional defenses associated with pathogen restriction. Barley possesses just one essential TIR-only enzyme and mutations of the two conserved TIR-only members in Arabidopsis were not compensated for by numerous other TIR-domain genes in the basal immune response. These findings suggest that conserved TIR-only proteins make a crucial contribution to TIR basal defense signaling networks of Arabidopsis and barley. We propose that a shared function in transcriptional defense regulation could explain the evolutionary retention of this discrete TIR-only group across monocot and dicot lineages.

plant biology↗

CPS: Mapping Physical Coordinates to High-Fidelity Spatial Transcriptomics via Privileged Multi-Scale Context Distillation

MotivationSpatial transcriptomics enables the dissection of tissue heterogeneity within native contexts, yet current platforms are inherently constrained by high sparsity and low signal-to-noise ratios that obscure fine-grained biological signals. Current efforts to recover these signals are limited by image registration dependencies or the inherent context-blindness of implicit neural representations. ResultsWe introduce the Cell Positioning System (CPS), a context-aware implicit neural representation framework designed to map physical coordinates to high-fidelity spatial transcriptomics via a privileged multi-scale context distillation strategy. CPS treats multi-scale tissue niches as privileged information, employing a teacher network equipped with a multi-scale niche attention mechanism to capture adaptive biological interactions during training. This structural knowledge is explicitly distilled into a student coordinate network, enabling the generation of context-aware expression landscapes solely from spatial coordinates during inference. Benchmarking on the DLPFC dataset demonstrates that CPS achieves state-of-the-art performance in spatial and gene expression imputation and denoising. Furthermore, CPS enables super-resolution to recover high-resolution mouse brain anatomical details and offers interpretability by identifying the scale effective size of biological interactions within human breast cancer tissues. Finally, the framework exhibits superior scalability for large-scale datasets with linear computational complexity. AvailabilitySoftware is available online at https://github.com/tju-zl/CPS.

bioinformatics↗

A synonymous mutation in MSMEG_4729 occurs at a high frequency in spontaneous D29-resistant mutants of Mycobacterium smegmatis

Compassionate use of mycobacteriophage therapy highlights the promising potential of phage therapy as an alternative treatment option for antibiotic-resistant infections when conventional treatments fail. However, realizing the full potential of phage therapy requires addressing key challenges, including host immune responses, the limited arsenal of therapeutically-useful mycobacteriophages, and the emergence of phage resistance. Dissecting the mechanisms of phage resistance is critical for ensuring the effectiveness and sustainability of phage therapy. In this study, we demonstrate that exposure to the lytic mycobacteriophage D29 triggers diverse genetic changes in Mycobacterium smegmatis. A synonymous mutation in MSMEG_4729 arises frequently but is insufficient to confer D29 resistance on its own. Instead, we identified possible Lsr2-independent activation of the lipooligosaccharide (LOS) biosynthesis cluster in a D29-resistant mutant harboring this mutation. We have also detected the possible activity of MSMEG_3213, a type II methyltransferase associated with m6A modifications in M. smegmatis. Finally, we isolated defense escape mutants (DEMs) of D29 capable of overcoming resistance in a strain with the MSMEG_4729 synonymous mutation. This profiling of M. smegmatiss likely defensive arsenal against the therapeutically-useful mycobacteriophage D29 provides a roadmap for further investigations and rational engineering of next-generation mycobacteriophages to combat drug-resistant mycobacterial infections. Impact statementInterest in phage therapy has been gaining traction recently, which is largely due to the serious threat of antimicrobial resistance. However, the efficacy and sustainability of phage therapy is threatened by certain challenges, which includes the ever existent threat of phage resistance. In this study, we identified several likely factors involved in D29 interaction with the model mycobacterium M. smegmatis. These findings set a roadmap for future investigations that would guide rational phage engineering to expand the currently limited arsenal of therapeutically useful mycobacteriophages as well as improve the efficiency of existing ones.

microbiology↗

Decoupling Lineage and Intrinsic Information in Single-Cell Lineage Tracing Data with Deep Disentangled Representation Learning

Single-cell RNA sequencing combined with lineage tracing technologies provides rich opportunities to study development and tumor evolution, yet existing computational methods struggle to disentangle intrinsic transcriptional states from lineage-driven effects. We introduce DeepTracing, a deep generative framework that integrates disentangled representation learning with lineage-aware Gaussian processes to explicitly separate intrinsic cellular variation from lineage constraints. The model constructs a layered latent space and enforces independence via Total Correlation regularization, producing intrinsic, lineage, and unified embeddings. Across extensive benchmarks, DeepTracing consistently outperforms existing approaches. In TedSim simulations, it achieves superior clustering of cell states and effectively recovers phylogenetic structure, surpassing original expression and scVI. Applied to mouse tumor lineage-tracing data, DeepTracing attains higher ARI/NMI for tumor-type classification than scVI and PORCELAN, accurately separating primary and metastatic tumors and recovering known trajectories such as early lymph-node divergence and liver-to-kidney cross-seeding. In larger datasets, it maintains strong performance while preserving both transcriptomic continuity and lineage fidelity. DeepTracing also reconstructs continuous developmental trajectories in mouse ventral midbrain, isolating temporal effects from intrinsic differentiation. These results establish DeepTracing as a scalable and interpretable framework for analyzing multimodal single-cell data in tumor progression. Code availabilityThe source code is publicly available at https://github.com/Yuhong-Wen/DeepTracing.

cell biology↗

Likely role of promoter reconstitution in Mpr-mediated D29 resistance by Mycobacterium smegmatis

The multi-copy phage resistance gene (mpr) of M. smegmatis is a major factor in resistance to the lytic mycobacteriophage D29. Mpr is a membrane-bound exonuclease that cleaves phage DNA post injection, hence blocking downstream stages in the phage infection cycle. The mechanism of resistance allows for adsorption, is non-abortive and independent of any mutation in the gene. Rather, it depends on overexpression of a wild type copy of the gene. However, the underlying factor behind mpr overexpression in spontaneous D29-resistant mutants of M. smegmatis remained elusive. Here, we report that D29 infection triggers insertion sequence (IS) rearrangements, including the transposition and integration of IS6120 directly upstream of mpr. Mutants with IS6120 integration upstream of mpr show highly elevated Mpr expression. Whole genome sequence analysis reveals that IS6120 introduced a putative transcription factor-binding site and a canonical -35 promoter element at the integration site, hence reconstituting a fuller promoter (rcp) than the original promoter (wtp) at the site. Promoter reporter assays suggest that rcp is a far stronger promoter than wtp, implying that elevated mpr expression in D29-resistant mutants with this transposition event could be due to promoter reconstitution. While strains with this transposition event appear to grow normally, rcp-driven, vector-borne Mpr overexpression appears to be toxic as it barely allows for colony formation on agar plates. This study reports a previously unknown factor likely behind mpr regulation in M. smegmatis, adding to the existing knowledge of mycobacterial anti-phage defense mechanisms and guiding rational phage engineering efforts for therapeutic applications.

microbiology↗

Targeting homologous recombination repair to potentiate fluoroquinolone efficacy in Mycobacterium abscessus

Synthetic antibiotics, fluoroquinolones (FQs), are extensively important treatment options for fast growing mycobacterial infections. However, their widespread use has led to decreased efficacy due to intrinsic or acquired resistance. FQs exhibit antimicrobial activity by stabilizing type II topoisomerases-generated DNA breaks, thereby inducing lethal double-strand breaks (DSBs) and leading to bacterial death. Escalating resistance among mycobacterial pathogens highlights the need to elucidate resistance mechanisms and identify novel strategies to restore or enhance the drug activity. Here, we revealed homologous recombination (HR) as a key determinant of FQ tolerance in Mycobacterium abscessus, a notoriously drug-resistant pathogen. Through a transposon mutagenesis screen, we identified that disruption of adnB - an HR-associated gene, markedly sensitized M. abscessus to FQs. This finding prompted a systematic dissection of DSB repair pathways in M. abscessus. Targeted deletion of HR core components (adnB, recO, recA, recR, ruvB) significantly increased FQ susceptibility in vitro, while inactivation of alternative DSB repair pathways - single-strand annealing (SSA) and non-homologous end joining (NHEJ) - had no effect, revealing a unique reliance on HR for FQ tolerance. Furthermore, the complementation of gene knock-out M. abscessus strains {Delta}adnB, {Delta}recO, {Delta}recA, {Delta}recR or {Delta}ruvB with the corresponding genes from M. abscessus, as well as homologous genes from Mycobacterium tuberculosis restored the resistance phenotype, indicating a conserved HR-dependent tolerance mechanism in M. abscessuss. In a murine infection model, genetic abrogation of HR significantly improved the therapeutic efficacy of FQs against M. abscessus, demonstrating translational relevance. Collectively, our findings position HR as a conserved and actionable vulnerability in M. abscessus, and provide a compelling rationale for developing HR-targeted adjuvant therapies to resensitize drug-refractory strains to FQ treatment. Impact statementFluoroquinolone (FQ) resistance poses a major challenge in the treatment of Mycobacterium abscessus infections. This study identifies homologous recombination (HR) as a key defense mechanism that limits FQ efficacy across multiple mycobacterial species. Genetic inhibition of HR not only sensitizes M. abscessus to FQs in vitro but also enhances antibiotic activity in vivo. These results highlight HR repair as a promising therapeutic target to potentiate FQ activity and combat drug resistance in M. abscessus infections.

molecular biology↗

Viral tRNA-like structure hijacks host ribosomes for poly(A)-independent translation

Positive-sense RNA viruses often use 3' tRNA-like structures (TLSs) instead of poly(A) tails to capture the host translation machinery. While TLSs resemble canonical tRNAs and engage host factors, their ability to directly recruit ribosomes has remained unresolved. Here, we present cryo-electron microscopy snapshots of the histidine-accepting TLS (TLSHis) from tobacco mosaic virus bound to the 60S subunit, the 80S ribosome, and the 80S-tRNAiMet initiation complex. Across these states, TLSHis is consistently anchored to the L1 stalk of 60S, even under cycloheximide treatment, yet remains dynamic on the 40S subunit. Structural analysis shows that TLSHis transitions from the E-site to an adjacent Z-site to accommodate initiator tRNA. Functional assays show that TLSHis preferentially associates with ribosomal subunits over polysomes and can substitute for a poly(A) tail to promote robust cap-dependent translation. Together, these findings reveal how a viral tRNA mimic hijacks host ribosomes to promote poly(A)-independent translation.

molecular biology↗

Bayesian inference of lineage trees by joint analysis of single-cell multimodal lineage-tracing data with BiLinT

The advent of single-cell lineage-tracing technologies has enabled simultaneous measurement of gene expression and lineage barcodes. However, integrating these modalities for high-resolution lineage reconstruction has remained challenging due to limitations of methods that analyze modalities separately. In response, we present BiLinT, a Bayesian framework for reconstructing high-resolution cell lineage trees by jointly modeling single-cell multimodal lineage-tracing data. BiLinT integrates lineage barcode evolution (modeled via a continuous-time Markov chain) and gene expression dynamics (modeled via an Ornstein-Uhlenbeck process) within a unified probabilistic model. Applications to synthetic and real datasets demonstrate improved accuracy and reveal developmental fate biases.

bioinformatics↗

Discovery of high-specificity DNA aptamers for progesterone using a high-throughput array platform

Aptamer-based biosensors offer several advantages for detecting small molecules, including chemical stability and compatibility with diverse sensing formats. However, developing highly specific DNA aptamers that can distinguish between structurally similar small-molecule analytes remains a major challenge. Steroid hormones share a common four-ring scaffold, and even small modifications in functional groups can lead to distinct biological activities. Although DNA aptamers targeting the female reproductive hormone progesterone have been previously reported, many exhibit substantial cross-reactivity with other steroid hormones. In this work, we report the discovery of DNA aptamers with high affinity and specificity for progesterone using our aptamer array platform, which can characterize millions of aptamer candidates in a single, automated experiment. This platform allows us to profile aptamer libraries from earlier rounds of systematic evolution of ligands by exponential enrichment (SELEX), while preserving sequence diversity. Using this strategy, we identified multiple aptamers with nanomolar affinity for progesterone and minimal cross-reactivity to structurally related steroids. These high-specificity aptamers provide a strong foundation for the development of biosensors applicable to both clinical diagnostics and biological research.

bioengineering↗

MYC-Driven Activation of USP39 Enhances SRSF1 Stability and Promotes PDAC Progression

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy primarily driven by oncogenic KRAS signaling. The splicing factor SRSF1 plays a key oncogenic role in PDAC, where its tightly regulated expression constrains KRAS-driven signaling under normal conditions, while its upregulation promotes tumorigenesis. SRSF1 expression is regulated in part by proteostasis. However, the precise mechanisms remain unclear. Here, we identify USP39 as a deubiquitinase that interacts with SRSF1 in an RNA-independent manner and stabilizes it by reducing ubiquitination. USP39 expression is elevated in PDAC tumors and precancerous lesions, and correlates with poor patient survival. USP39 knockdown suppresses PDAC cell proliferation and migration, effects that are partially rescued by SRSF1 overexpression. Mechanistically, we show that MYC directly activates USP39 transcription via E-box motifs within its exon 1b promoter, linking MYC-driven transcriptional regulation to post- translational stabilization of SRSF1. Together, these findings define a MYC-USP39-SRSF1 regulatory axis that integrates transcriptional and post-translational mechanisms in PDAC and highlight USP39 as a potential therapeutic target.

cancer biology↗

RNA reinforces condensate nucleation on chromatin to amplify oncogenic transcription

Aberrant chromatin-associated condensates have emerged as drivers of transcriptional dysregulation in cancer. Although extensive studies have elucidated intrinsic protein sequence features governing their formation, how extrinsic factors within the chromatin environment modulate their assembly and pathogenic function remains poorly understood. Gain-of-function mutations in the histone acetylation reader ENL, found in pediatric leukemia and Wilms tumor, drive oncogenesis by inducing condensate formation at highly selective genomic loci. Here, we uncover a critical role for locally produced gene transcripts in reinforcing the nucleation, chromatin engagement, and oncogenic activity of ENL mutant condensates. Mutant ENL binds RNA in part through a conserved basic patch within its YEATS domain, and this interaction enhances condensate formation both in vitro and across diverse cellular contexts. Using a chemically inducible condensate displacement and re-nucleation system, we show that blocking ENL-RNA interactions or transcription impairs condensate reformation at endogenous targets. RNA interactions preferentially enhance mutant ENL occupancy at top-bound, condensate-permissive loci, leading to increased transcriptional bursting and robust gene activation at the single-cell and single-allele level. In mouse models, disrupting ENL-RNA interactions reduces condensate formation and oncogenic transcription in hematopoietic stem and progenitor cells, thereby suppressing ENL mutant-driven leukemogenesis. Together, these findings demonstrate that locally produced RNA transcripts can promote locus-specific nucleation of pathogenic condensates on chromatin, which in turn drive persistent and hyperactive transcription of oncogenic targets and lead to tumorigenesis.

molecular biology↗

Putative long-range mossy fiber sprouting and regional hypermetabolic capacity in the hippocampus of patients with mesial temporal lobe epilepsy

Mesial temporal lobe epilepsy (MTLE) is pathologically characterized by neuronal loss in the dentate hilus, CA3 and CA1 regions, and mossy fiber (MF) sprouting into the inner molecular layer (iML). The latter forms aberrant excitatory circuities that are considered to facilitate recurrent seizures, with the subiculum also being related to epileptogenic activation. We recently identified a distinct expression of -smooth muscle actin (SMA) at the MF terminals in human hippocampus. This prompted us to explore MF sprouting in resected hippocampi (n=20) from patients with MTLE relative to postmortem control (n=20) using SMA along with reference markers for pathological cross-validation. Compared to control, neuronal loss assessed with neuron-specific nuclear antigen and sortilin immunolabeling reached CA1 in all resected hippocampi. SMA, zinc transporter 3 and {beta}-secretase 1 immunolabeling in the iML tended to be increased. The MF-related markers also revealed a preserved fibrous band extending across CA1 to subiculum. Cytochrome c oxidase immunolabeling also increased in iML and subiculum in the MTLE group. Taking together, the current findings point to the existence of long-range MF sprouting and a regional hypermetabolic compacity in the hippocampal formation of patients with drug resistant MTLE.

neuroscience↗

Reduced inhibition, bursting, and accelerated oscillations drive early hippocampal hyperactivity in Alzheimer's disease

Early hippocampal hyperactivity is a well-documented yet poorly defined phenomenon in Alzheimers disease (AD). While reported in both patients and animal models, its functional manifestations and underlying neurophysiological mechanisms in vivo remain unclear. Here, we address this gap using in vivo high-resolution patch-clamp, high-throughput single-unit, and local field recordings in young amyloidopathy mice, at a stage when A{beta} remains largely soluble. We uncover previously unidentified cellular mechanisms in vivo, characterised by reduced inhibitory synaptic input, hypoactivity of fast-spiking interneurons, and enhanced bursting in pyramidal neurons. At the network level, we reveal accelerated hippocampal oscillations, marked by increased theta and beta power, a departure from the conventional view of oscillation slowing in AD. Mechanistically, this acceleration stems from strengthened synchrony of excitatory currents at higher frequencies and an overall reduction in oscillation-associated inhibitory currents. Our findings provide the first direct in vivo evidence linking early hippocampal hyperactivity to specific synaptic transmission and network dysfunctions, resolving a long-standing ambiguity. Moreover, we propose accelerated oscillations in the hippocampus as a functional biomarker for early AD and a potential therapeutic target for restoring network stability before cognitive decline occurs.

neuroscience↗