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Lu, B.

Publications and source records attributed to Lu, B..

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↗

ACAN regulates VSMC mitochondrial homeostasis through the YAP1/TAZ pathway and contributes to the onset and progression of aortic dissection

Objective: Aortic dissection (AD) is a serious, life-threatening cardiovascular crisis. While vascular proteoglycans normally buffer hemodynamic stress, their aberrant accumulation in the AD aorta predisposes to rupture. Aggrecan (ACAN) is among the most frequently elevated proteoglycans in this setting, yet its pathogenic relationship to AD remains undefined. This study aimed to investigate the role of ACAN in AD and identify potential therapeutic targets. Approach and Results: We employed human tissues, animal models, and cell cultures. Western blotting and immunohistochemistry (IHC) were performed on aortic samples from AD patients and controls to assess contractile markers, MMPs, ACAN, and SOX9. In vivo, AD was induced in mice using {beta}-aminoisobutyric acid (BAPN) and Ang II, with AAV-mediated ACAN knockdown in VSMCs. Histological staining confirmed model validity and enabled assessment of AD incidence, mortality, and protein expression changes. In vitro, human aortic vascular smooth muscle cells (HAVSMCs) were stimulated with Ang II, and SOX9 and ACAN were silenced via siRNA to evaluate the functional impact of ACAN downregulation. In human AD aortas, elevated ACAN and its upstream transcription factor SOX9 drove VSMC phenotypic switching and ECM degradation. In mice, ACAN knockdown corrected AD-induced medial structural disruption, elastin fragmentation, and collagen deposition, markedly reducing incidence and mortality while curbing excessive mitochondrial fission and rescuing functional integrity. ACAN silencing attenuated Ang II-induced mitochondrial damage in HAVSMCs via the RNA-seq-identified YAP1/TAZ pathway, and Verteporfin restored homeostasis. Conclusion: ACAN is aberrantly expressed in AD and murine aortas. ACAN downregulation delays disease progression by preserving mitochondrial homeostasis and function via the YAP1/TAZ pathway.

pharmacology and toxicology↗

CodonBERT and ESM-2 Embedding Spaces Share an Evolutionarily Conserved Paired Geometry Encoding Synonymous Codon Information

1.1Synonymous codons encode the same amino acid yet are used non-randomly across genomes, a phenomenon with well-documented functional consequences for translation efficiency and mRNA stability. Whether the information embedded in synonymous codon choice is recoverable from the internal representations of in-dependently trained deep learning models--one operating on coding DNA sequences (CDS) and the other on protein sequences--remains an open question. Here we systematically examine the paired geometry between two embedding spaces: CodonBERT, a nucleotide language model trained exclusively on CDS with codon-aware tokenization, and ESM-2, a protein language model. After removing linear effects of amino acid composition, we find that CodonBERT and ESM-2 embeddings exhibit a robust, linearly retriev-able paired correspondence across human and mouse transcriptomes (R@1 = 0.266, 95% CI [0.256, 0.276]), with a synonymous-codon-specific signal fraction of {Delta}R@1 {approx} 0.08. This paired geometry transfers faithfully between species and is sharply amplified under ortholog restriction (R@1 = 0.461-0.538). Critically, the per-gene alignment cosine--measured in a gallery-free framework that avoids retrieval-set-size artifacts--decays monotonically with evolutionary distance across vertebrates (median cosine: rat 0.52 [->] mouse 0.47 [->] zebrafish 0.44 [->] yeast 0.19; all adjacent comparisons p < 10 {superscript 2}, Mann-Whitney U), and a shuffled-pair permutation null confirms that the observed alignment is absent when biological pairing is destroyed (null mean {approx} 0.008; p < 10 ). Ablation experiments confirm that this signal is specific to codon-aware nucleotide architectures: CodonBERT substantially outperforms DNABERT-2 and Nucleotide Transformer v2 in per-gene alignment cosine (median 0.47 vs. 0.28 vs. 0.26; Mann-Whitney p < 10 ). These results demonstrate that synonymous-codon-level regulatory information is embedded in an evolutionarily constrained geomet-ric relationship between coding sequence and protein representations, which can be linearly decoded without any joint training.

bioinformatics↗

Circadian clock gates retinal regeneration by orchestrating Cxcl12-dependent immune coordination

The circadian clock orchestrates tissue homeostasis and repair, yet its role in central nervous system (CNS) regeneration remains largely unexplored. Here, we identify the circadian clock as an essential regulator of adult zebrafish retinal regeneration, a CNS model. Retinal injuries induced at distinct circadian times elicit differential Muller glia (MG) reprogramming and progenitor proliferation, both of which exhibit robust diurnal fluctuations. Disrupting circadian rhythms--via constant darkness (DD) or day-night reversal (DL)--suppresses MG reprogramming, MG-derived progenitor cell (MGPC) formation and neuronal regeneration, concomitant with dampened retinal immune responses. Notably, intravitreal immune stimulation restores MGPC numbers in the retina under DD conditions, linking immune activation to circadian-regulated regeneration. Single-cell RNA-seq reveals that DD disrupts MG reprogramming trajectories while inducing unfolded protein response (UPR) and suppressing ATP/protein synthesis. Moreover, clock disruption alters microglia heterogeneity, and cell-cell communication analysis identifies the Cxcl12-Cxcr4 signaling as a key chemotactic axis between MG/endothelial cell and immune populations. Mechanistically, Bmal1b directly binds E-box motifs in the cxcl12a/12b promoters, driving their rhythmic transcription to orchestrate the immune response after injury. Importantly, exogenous Cxcl12a partially restores both immune and regenerative responses in clock-disrupted retinas, establishing the Cxcl12-Cxcr4 axis as a circadian-immune checkpoint for retinal repair. Collectively, our findings reveal a novel paradigm in which the circadian clock gates CNS regeneration through Cxcl12-mediated immune coordination, offering potential therapeutic insights for CNS repair in mammals.

neuroscience↗

Ovipositor morphology and mechanosensory divergence drive niche breadth expansion in Drosophila

Ecological niche breadth is key factor associated with adaptive radiation and speciation. For most Drosophila species, the firm surface of intact ripe fruit acts as a physical barrier to oviposition, effectively restricting them to the saprophagous resources. How species overcome such mechanical constraints at the behavioral and sensory levels, and whether doing so leads to niche breadth expansion or niche specialization, remain poorly understood. Here, using comparative behavioral assays across ten Drosophila species, we show that substrate physical hardness is a critical barrier preventing most species from exploiting ripe fruit. Among species capable of puncture oviposition, there are two distinct evolutionary strategies among Drosophila species. With its serrated ovipositor and strong preference for fresh fruit, D. suzukii represents a case of ripe-fruit specialization. In contrast, D. immigrans with the needle-like ovipositor, gains access to fresh fruit while retaining the ability to exploit decaying substrates, thereby expanding its resource niche. Thus, D. suzukii considered as the typical evolutionary niche specialization, while D. immigrans represents niche expansion. Furthermore, using the genetic toolkit of D. melanogaster, we further identify the Inactive (IAV) mechanosensory channel as important regulator of stiffness-dependent oviposition inhibition. Loss of iav reduced inhibition on firm substrates, while cross-species rescue experiments showed that IAV orthologs differed in their ability to restore this response in a common genetic background. Puncture oviposition was also associated with successful offspring development on firm fruit and with the use of firm-surfaced hosts under natural conditions. Together, these findings identified a novel niche expansion of D. immigrans among the saprophagous Drosophila.

evolutionary biology↗

Auxin promotes GPI-anchored protein-mediated trafficking of ABP1 to enable cell-surface auxin signaling

Rapid auxin responses are triggered by Auxin-Binding Protein 1 (ABP1) signaling; however, the coupling of hormone perception to signaling activation is unclear. ABP1, a cell surface auxin receptor, is localized to endoplasmic reticulum (ER), raising a fundamental question of where auxin is perceived and how signaling-competent receptors are mobilized to cell surface. Herein, we established a dark-induced auxin synthesis system in Arabidopsis hypocotyl; abp1 mutants showed pronounced elongation. Auxin dose-dependently stimulates LORELEI-like glycosyl-phosphatidylinositol-anchored protein 1 (GPI-AP, LLG1) interaction with ABP1, driving their outward trafficking from ER. However, this complex dissociated in acidic apoplast, facilitating H+-ATPase-mediated auxin signaling. Our findings reveal how intracellular auxin perception is converted into rapid cell-surface signaling, establishing a mechanistic framework for fast auxin responses and uncovering a GPI-AP-mediated trafficking mechanism for ER-retained receptors.

plant biology↗

Tau-induced mitochondrial reverse electron transport drives neurodegeneration

Hyperphosphorylation and aggregation of the microtubule-associated protein tau are recognized as pathological hallmarks of tauopathies; however, the biological activity of tau that drives its pathophysiological effects remains poorly understood1-6. Mitochondrial dysfunction is a common feature of tauopathies7,8. Despite this, the mechanistic link between tau abnormalities and mitochondrial dysfunction, as well as its relationship to taus physiological function, remains unclear. Here, we demonstrate that tau regulates mitochondrial reverse electron transport (RET), which produces excess ROS, reduces the NAD+/NADH ratio, and is activated by aging or stress. In flies, mice, and human induced pluripotent stem cells (hiPSC)-derived neurons, tau depletion eliminates stress-induced RET and confers significant stress resistance. Mechanistically, tau enters mitochondria and directly interacts with the mitochondrial complex I (C-I) subunit NDUFS3, enhancing RET activation in a phosphorylation-dependent manner that correlates with tau pathogenicity. Elevated RET further drives tau hyperphosphorylation, establishing a self-perpetuating pathological loop. Blocking tau entry into mitochondria or disrupting tau/NDUFS3 interaction reduces tau-induced RET. Genetic or pharmacological inhibition of RET protects against tau-induced neurodegeneration across species. RET regulation represents a previously unrecognized normal function of tau that becomes pathological in disease, providing a therapeutic target for conditions characterized by tau abnormalities and mitochondrial dysfunction.

neuroscience↗

A rapid, sensitive, and quantitative high plex biomarker digital detection platform enabled by Hypercoding

Low-cost, multiplexed, and automated assays are needed to make omic technologies more broadly accessible in clinical, research, and commercial settings. We present Hypercoding, a scalable technology for detection and quantitation of multi-omic targets. Drawing from data reliability methods in the telecommunications field, Hypercoding uses fluorescent signals from hybridization with an error-correcting code to enable detection of high-plexity targets from biological samples, such as human DNA. In the presence of the target, a linear DNA construct is circularized, immobilized, and amplified to enable single-molecule detection of a target via rapid readout cycles within a 96-well plate. We demonstrate capability for >10,000 code plexity and accurate (98.7%) genotyping of 209 pharmacogenomic variants. Furthermore, we show computation of copy number variation with whole chromosome and sub-gene resolution, as well as quantitation of target abundance down to 10 fM sensitivity with a dynamic range of up to 10 logs.

genomics↗

ISdetector: precise mapping of insertion sequences and associated structural variations from short-read sequencing data

MotivationInsertion sequences (ISs) are key drivers of genomic plasticity in bacteria and archaea. Determining their exact insertion coordinates is critical for understanding drug resistance, virulence, and pathogen epidemiology. However, accurately mapping ISs from high-throughput short-read sequencing data remains challenging due to the repetitive nature of these elements and accompanying structural variations, which frequently confound standard alignment-based algorithms. As whole-genome sequencing becomes the standard for population-level studies, there is a need for robust, scalable, and specialized pipelines to detect ISs. ResultsWe present ISdetector, a bioinformatics pipeline that detects precise insertion sites of specific ISs using an IS-clean reference strategy combined with clustering of IS-relevant signals from soft-clipped reads. Compared with existing tools, including ISMapper and MGEFinder, ISdetector demonstrates higher accuracy and robustness, achieving high F1 scores in both high-GC-content genomes (e.g., Mycobacterium tuberculosis, F1=0.91) and high-IS-burden genomes (e.g., Shigella sonnei, F1=0.85). Furthermore, ISdetector identifies IS movements accompanied by structural variations, such as large-scale deletions, which are often missed by existing methods. Implemented with multi-threading, ISdetector shows near-linear decreases in running time with increasing thread counts, making it highly scalable and efficient for processing large numbers of samples in population-level studies. AvailabilityISdetector is an open-source pipeline implemented in Python. It integrates standard bioinformatics tools, including BWA, SAMtools, and BLAST+, and uses the Biopython and Pysam libraries for data processing. The source code, documentation, and usage instructions are freely available at https://github.com/carolynzy/ISdetector. CONTACTZHOUYANG@CHINACDC.CN

bioinformatics↗

Genomic insights into rapid diversification and adaptive introgression in the earthworm Amynthas aspergillum

How species diversify in highly fragmented landscapes while maintaining genetic connectivity remains a central question in evolutionary biology. The megascolecid earthworm Amynthas aspergillum exemplifies this paradox, showing deeply divergent mitochondrial lineages despite extensive nuclear gene flow across southern China. We conducted whole-genome resequencing across its core distribution in the Guangxi karst region to elucidate the population structure and processes underlying this cytonuclear discordance. Genome-wide analyses identified three genetically distinct groups shaped by fine-scale karst isolation, alongside pervasive historical and contemporary introgression. Demographic modeling revealed rapid diversification during the Late Pleistocene ([~]0.14LJMa) with pronounced fluctuations in effective population size. Although isolation increased inbreeding and mutational load in some lineages, introgression persisted even among deeply divergent mitochondrial clades. Notably, several introgressed regions showed strong signatures of positive selection, including genes involved in mitochondrial function and metabolism.Together, these results demonstrate that gene flow can simultaneously mitigate the genomic costs of isolation and promote functional innovation via adaptive introgression, providing a genomic framework for diversification with gene flow in subterranean invertebrates inhabiting fragmented karst landscapes.

genomics↗

tensorOmics: Data integration for longitudinal omics data using tensor factorisation

Multi-omics studies capture comprehensive molecular profiles across biological layers to understand complex biological processes. A central challenge is integrating information across heterogeneous data types to identify coordinated molecular responses, particularly when measurements are collected longitudinally. Traditional integration methods can be broadly classified as unsupervised (exploring patterns without phenotypic information) or supervised (discriminating between groups or predicting outcomes). These approaches rely predominantly on matrix-based techniques that concatenate or project data into lower-dimensional spaces. However, matrix methods struggle with longitudinal data, as flattening multi-dimensional structures obscures temporal trajectories and violates independence assumptions. Tensor-based methods preserve the natural multi-way structure of longitudinal data but existing approaches are predominantly unsupervised, cannot incorporate phenotypic responses for discriminant analysis, and lack frameworks for integrating multiple omics layers. We present tensorOmics, a comprehensive framework for longitudinal omics analysis using tensor factorisation. The framework encompasses supervised and unsupervised methods for both single-omic (tensor PCA, tensor PLS discriminant analysis) and multi-omic settings (tensor PLS, block tensor PLS, block tensor PLS discriminant analysis). This unified approach captures coordinated responses across biological layers while preserving temporal structure. We validated tensorOmics through three case studies: antibiotic perturbation experiments, anaerobic digestion systems, and fecal microbiota transplantation. These applications demonstrate tensorOmics differentiates treatment groups, captures time-dependent molecular signatures, and reveals multi-layer coordinated responses that cross-sectional methods miss. Author summaryLongitudinal multi-omics studies track molecular changes over time to understand how biological systems respond to treatments, diseases, or environmental shifts. However, analysing these complex datasets presents significant challenges: traditional methods either flatten the time dimension, losing temporal information, or handle only single omics layers without integration. We developed tensorOmics, a comprehensive computational framework that preserves the natural three-way structure of longitudinal data (samples x features x time) while integrating multiple omics layers. Our approach combines tensor decomposition with multi-block analysis, offering five complementary methods that address both exploratory and supervised analyses across single and multi-omic settings. Through three diverse case studies (antibiotic recovery in humans, anaerobic digestion systems, and fecal microbiota transplantation), we demonstrate that tensorOmics successfully identifies biologically meaningful temporal signatures that distinguish treatment groups and reveal coordinated molecular responses across omic layers. The framework handles the unique statistical properties of different omics types and efficiently manages high-dimensional data through tensor-based data compression. tensorOmics is available as an R package, providing researchers with flexible tools to extract interpretable insights from longitudinal multi-omics experiments while properly accounting for repeated measurements and temporal dynamics.

bioinformatics↗

tBid mediated genetic ablation of connective tissue cells reveal their key regulatory function during limb regeneration in axolotls

Limb regeneration in adulthood is a fascinating phenomenon unique to salamanders, requiring precise coordination and interaction of various cell types. Connective tissue (CT) constitutes a major component of the limb and serves as the primary reservoir of positional information during regeneration. However, the direct evidence and the extent of CT in positional contribution remain limited. Here we develop an inducible Cre-LoxP-mediated tBid cell ablation system in axolotls and demonstrate efficient elimination of targeted muscle tissue and muscle stem cells through transient electroporation or genetic approach. Ablation of CT cells at early stages of regeneration results in delayed regeneration and loss of proximal limb segments (e.g., upper and lower limb), with minimal impact on hand differentiation. CT ablation during development yields similar defects as observed during regeneration, indicating an essential role for CT cells in determining the positional identity of developing and regenerating limb structures. Further scRNA-seq reveal a progressive proximal-to-distal transition among CT cells and identify distinct CT subtypes that contribute to proximal and distal segments. CT ablation results in reduction of the differentiated CT1--a subpopulation that maintains proximal identity throughout regeneration, and a delay of distal transformation in the proliferative CT1--a major CT subtypes showing progenitor property. These cellular shifts likely lead to the observed morphological deficits in regenerating limbs after CT ablation. Moreover, differentiated CT1 cells enhanced their interactions with surrounding cell types after CT ablation, to modulate adaptive proliferation in other populations, e.g., muscle stem cells. Our work establishes a tBid-based ablation strategy for functional studies of CT and other cell types in axolotls, and provides direct evidence demonstrating pivotal roles of CT cells in guiding positional memory and segmental patterning during organ regeneration.

molecular biology↗

Elucidating an anterior cingulate circuit for self-initiated actions and rescue of Parkinsonian akinesia

Dopamine (DA) depletion is known to result in Parkinsonian symptoms such as the inability to initiate movements (akinesia). While Parkinsonian akinesia is traditionally associated with reduced DA signaling in the striatum, the contribution of cortical regions that also receive DA projections and project to the striatum remains unclear. Here, we identify a previously unexplored cortical circuit involving D1-like dopamine receptor-expressing neurons in the anterior cingulate cortex (ACC) that is critical for initiating goal-directed movements. We find that a selective activation of ACC-D1+ neurons can flexibly drive targeted movement and locomotion even in akinetic mice after dopamine depletion or receptor antagonism. These findings uncover a cortical mechanism for movement initiation and offer promising new therapeutic targets for treating Parkinsonian akinesia.

neuroscience↗

The transcriptional regulatory circuit as a driver and therapeutic target in CML blast crisis

Patients with blast crisis in chronic myeloid leukemia (CML) exhibit an extremely poor prognosis, with median survival of only a few months and limited therapeutic options. Dysregulated transcriptional regulation plays a pivotal role in driving blast crisis progression. In this study, we performed histone modification and transcriptomic high-throughput sequencing on bone marrow cells derived from chronic and blast-phase CML patients, identifying a CML blast-specific transcriptional regulatory circuit comprising MEF2C, MYB, MEIS1, and ZEB2. These transcription factors (TFs) form protein complexes that co-bind to shared enhancers or promoters, reciprocally enhancing each others transcriptional activity and that of their downstream targets. Mechanistically, this circuit synergistically reprograms chromatin accessibility and transcriptional landscapes in blast cells, parallel activation of purine metabolism and Rho GTPase signaling pathways which exhibit functional crosstalk. Functional validation demonstrated that silencing components of this circuit or its downstream core targets significantly suppressed CML blast progression in vitro and in vivo. Notably, mebendazole (MBZ), a clinically approved inhibitor targeting MYB protein stability, recapitulated these inhibitory effects. Our findings establish the MEF2C-MYB-MEIS1-ZEB2 transcriptional circuit as a central driver of CML blast crisis and position MBZ as a high-potential translational strategy for targeting this lethal phase of the disease. Key PointsO_LIMEF2C, MYB, MEIS1, and ZEB2 form the CML blast-crisis transcriptional circuit, synergistically reprogramming chromatin and transcription. C_LIO_LIMebendazole inhibits CML blast progression by impairing the circuit, offering a rapid translational strategy for this lethal phase. C_LI

cancer biology↗

Dedifferentiation-Driven Oncogenic Stemness Promotes Tumor-Sustaining Adaptability in the Intestinal Epithelium

Intestinal tumorigenesis can occur via two distinct routes: bottom-up tumorigenesis occurs from mutations sustained in the Lgr5 stem cells, whereas top-down tumorigenesis is driven by dedifferentiation of epithelial cells near the intestinal lumen. While sporadic human colon adenomas exhibit features of top-down tumorigenesis, their biological determinants remain elusive. Here, using a Smad4 loss-of-function and {beta}-catenin gain-of-function (Smad4LOF:{beta}-cateninGOF) mouse model, we demonstrate that dedifferentiation-derived oncogenic stem cells sustain tumorigenesis more effectively than endogenous mutant stem cells harboring the mutation. The dedifferentiating villi epithelial cells showed early expression of CD44 and Lgr5, supporting oncogenic stemness. Aberrant Notch signaling in the villi epithelium was also detected at the onset of dedifferentiation, suggesting its contribution to dedifferentiation. Single-cell RNA sequencing revealed a distinct population of dedifferentiation-derived stem cells enriched for proliferative, metabolic, and mouse embryonic stem cell-like gene signatures, consistent with enhanced plasticity and tumorigenic potential. These mutant cells exhibited growth factor independence, indicating a capacity for niche-independent proliferation and metabolic adaptation to sustain tumor growth. These findings identify dedifferentiation-driven stemness, aberrant Notch activation, and metabolic plasticity as cooperative mechanisms that promote top-down intestinal tumorigenesis. This study provides insight into how oncogenic dedifferentiation contributes to tumor heterogeneity and persistence and has implications for therapeutic resistance in colorectal cancer.

cancer biology↗

Causal Modeling Reveals Cell-Cell Communication Dynamics in the Tumor Microenvironment During Anti-PD-1 Therapy in Breast Cancer Patients

BackgroundImmune checkpoint blockade (ICB) targeting PD-1/PD-L1 plays a crucial role in breast cancer treatment. Despite clinical success, how ICB reshapes the tumor microenvironment (TME) to enhance anti-tumor activity remains unclear. Anti-PD-1 therapy alters TME cells beyond PD-1+ T cells, with extensive cell-cell communication (CCC) playing a key role. Understanding the dynamic CCC changes upon anti-PD-1 treatment can illuminate ICB mechanisms of action and TME dynamics. MethodsWe analyzed single-cell RNA-seq data from 31 breast cancer patients before and after anti-PD-1 (pembrolizumab) treatment (Bassez et al., 2021). We identified differentially expressed genes (DEGs) induced by treatment in major cell types. We then applied an instrumental variable approach to uncover causal relationships between T-cell and non-T-cell DEGs. We further mapped ligand-receptor interactions mediating signal transduction between cells and constructed a CCC network from T to non-T cells. ResultsAnti-PD-1 therapy induced widespread transcriptional changes across multiple cell populations. Key pathways modulated in T cells included NF-{kappa}B, interferon-{gamma}, and interleukin signaling. CD4+ and CD8+ exhausted T cells engaged in distinct ligand-receptor interactions with tumor-associated macrophages (TAMs) and other types of cells, reshaping the TME. Our results indicated CD4+ exhausted T cells activated M1-like TAMs via TNF-TNFRSF1A and TNFSF14-LTBR, while CD8+ exhausted T cells engaged M1-like TAMs through ICAM1-ITGAL/ITGB2 and CCL8-CCR2, promoting anti-tumor immunity. Conversely, immunosuppressive interactions were also observed, such as TNF-TNFRSF1B (TNFR2) and TNFSF14-TNFRSF14 (HVEM) from CD4 T cells, as well as CSF1-CSF1R and RPS19-C5AR1 from CD8 T cells, which likely promote M2-like tumor-associated macrophage (TAM) polarization and contribute to pro-tumor immune regulation and resistance to therapy. Notably, key receptors in the causal CCC networks, such as C5AR1, TNFR2, and CSF1R, emerged as potential targets to enhance anti-PD-1 efficacy. ConclusionsThese findings elucidate TME remodeling during anti-PD-1 therapy and underscore the pivotal role of CCC in treatment response. Our study identifies critical communication networks that may be biomarkers for immunotherapy responsiveness and highlights novel therapeutic targets, including C5AR1 and HVEM. Furthermore, our application of causal inference methodologies provides a robust framework for dissecting CCC mechanisms in immunotherapy.

bioinformatics↗

PRRT2 as an auxiliary regulator of Nav channel slow inactivation

During sustained activity, voltage-gated sodium (Nav) channels enter a slow-inactivated state to limit cellular hyperexcitability. Disruption of this regulatory process has been implicated in skeletal, cardiac and neurological disorders. While the kinetics of this process are well characterized, its endogenous modulators remain unclear. Here, we identify Proline-Rich Transmembrane Protein 2 (PRRT2) as a native regulator of Nav channel slow inactivation. We show that PRRT2 facilitates the entry of Nav channels into the slow-inactivated state and delays their recovery, a regulatory effect conserved from zebrafish to humans. PRRT2 forms molecular complexes with Nav channels both in vitro and in vivo. In the mouse cortex, PRRT2 deficiency impairs the slow inactivation of Nav channels in neuronal axons, leading to reduced cortical resilience in response to hyperexcitable challenges. Together, these findings establish PRRT2 as a physiological modulator of Nav channel slow inactivation and reveal a mechanism that supports cortical resilience to pathological perturbations.

neuroscience↗

Inferring Personalized Cell-Cell Communication Networks in Colorectal Cancer with Individualized Causal Discovery

Understanding tumor heterogeneity at the resolution of individualized cell-cell communication networks (CCCNs) remains a major computational challenge in precision oncology. Existing inference methods largely rely on population-level correlation and thus fail to capture patient-specific signaling patterns across diverse cell types. To address this limitation, we developed an integrative computational framework combining the nested hierarchical Dirichlet process (nHDP) model for identifying hierarchically structured gene expression modules, with instance-specific Greedy Fast Causal Inference (iGFCI) for inferring individualized CCCNs (iCCCNs) in colorectal cancer (CRC). Applied to large-scale single-cell RNA-seq data from over 625,000 cells, our model successfully decomposed complex gene expression modules GEMs, potentially representing the cell lineage and cellular signaling states, and uncovered iCCCNs across detailed cell subtypes. We further used TCGA bulk RNA-seq data with survival data to validate the clinical relevance of these individualized gene expression module causal interactions, demonstrating their potential as robust prognostic signatures in CRC. Finally, we used principled causal inference methods to search for ligand-receptor pairs that mediate cell-cell communication. This framework enables mechanistic insights into immune evasion. Our computational method represents a significant advance toward realizing personalized oncology, enabling precise patient stratification and identification of actionable biomarkers for improved therapeutic targeting in cancers.

bioinformatics↗