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Zhu, Y.

Publications and source records attributed to Zhu, Y..

At least 199 records · Page 11Linked to original sources

An SR45-dependent exonic splicing enhancer is essential for regulating alternative splicing in Arabidopsis

Alternative splicing (AS) is a critical gene regulatory mechanism that underpins developmental plasticity and environmental adaptation in eukaryotes. Although numerous cis-elements and trans-factors governing AS have been characterized in animals, their functional roles in plants remain largely unexplored. We previously identified the Arabidopsis sot5 mutant, which exhibits leaf virescence due to a mutation in the conserved 5 splice site (5ss) of intron 7. Here, through characterization of a suppressor of sot5 (E61), we found that E61 harbors a G to A mutation in exon 8 of the SOT5 gene. Interestingly, this mutation creates a synonymous codon but disrupts the exonic splicing enhancer (ESE) motif (AAGAAGA), thereby reducing the splicing efficiency of the adjacent intron 7. Retention of this intron produces a functional protein that rescues the sot5 virescent phenotype. We confirmed the causal role of this ESE by using a cytidine base editor (CBE) to convert the ESE sequence to AAGAAAA or AAAAAAA in sot5. The edited plants phenocopied the suppressor E61. Genetic analyses revealed that mutations of SR45 encoding an RNA-binding protein but not its paralog SR45a similarly rescues the sot5 phenotype by impairing intron 7 splicing. Furthermore, we demonstrated that SR45 directly binds to the ESE motif in vitro, and that mutating the proximal ESEs in intron 2 of another SR45 target, GPDHC1 (Glycerol-3-Phosphate Dehydrogenase C1), recapitulates the splicing defect observed in the sr45 mutant. These findings establish that SR45 specifically recognizes AAG-repeat ESEs to enhance the splicing of adjacent weak introns, revealing a potent strategy for fine-tuning gene expression through targeted editing of splicing regulatory elements for crop improvement.

molecular biology↗

Chromatin landscape and enhancer-gene interactiondifferences between three cardiac cell types

Genome-wide association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNP) associated with a specific traits and diseases, however, uncovering the true disease-relevant SNPs remains challenging. One limitation for prioritizing true disease-relevant SNPs from GWAS is that most of the identified SNPs are non-coding, making it difficult to unravel their mechanism of action. Nevertheless, mapping non-coding SNPs to enhancers is a validated approach to link SNPs to their target genes through the analysis of enhancer-gene interactions (EGI) and thus provide insight into their mechanism of action. While previous studies linking cardiac disease-relevant SNPs to enhancers and their target genes have focused on the principal cardiac cell type, cardiomyocytes (CMs), the analysis of other non-CM cell types has been largely ignored and has only gained attention recently. We hypothesize that characterizing cell-type-specific enhancer-gene interactions (EGIs) for these non-CMs, namely cardiac fibroblasts (CFs), endothelial cells (ECs), and smooth muscle cells (SMCs), followed by mapping cardiac-disease-associated non-coding SNPs to those enhancers will identify novel disease-relevant genes and provide insights for future mechanistic research. To identify the landscape of cell-type-specific EGIs in these cardiac cells, we have employed the activity-by-Contact (ABC) model. It integrates assay for transposase-accessible chromatin sequencing (ATAC-seq), H3K27ac chromatin immunoprecipitation with sequencing (ChIP-seq), and high-throughput chromosome conformation capture with H3K27ac immunoprecipitation (H3K27ac HiChIP) data to identify EGIs. We have identified the landscape of cell-type-specific EGIs in these cardiac cells. Furthermore, a higher similarity of the chromatin accessibility profile (ATAC-seq) between CF and SMC, compared to CF and EC, and SMC and EC was observed. Finally, overlapping identified EGIs with cardiac-disease-associated non-coding variants has allowed the identification of a QT-interval-associated SNP that is mapped to the enhancer region of an EC-specific EGI.

genomics↗

Insect-derived long non-coding RNAs function as epigenetic effectors to reprogram plant immunity

Cross-kingdom RNAs are emerging as critical mediators of interspecies interactions, yet the functions of long RNAs such as mRNAs and long non-coding RNAs (lncRNAs) in recipient organisms remain largely unexplored. Here, we show that the brown planthopper (Nilaparvata lugens, BPH), a major rice pest, translocates mRNAs and lncRNAs into rice plants, where they migrate systemically from feeding sites to distal tissues. Compared with BPH mRNAs, BPH Salivary gland Cross-kingdom LncRNA (BSCLs) exhibit markedly higher stability in rice. Among them, BSCL1 functions as a virulence factor that promotes BPH feeding and reproduction by suppressing host defense. Mechanistically, BSCL1 associates with the HIRA histone chaperone complex and displaces histone H3.3 from the promoters of transcription factors, including bHLH genes central to jasmonic acid signaling, thereby repressing transcriptional immunity. Our results identify BSCLs as systemic, RNA-based effectors that reprogram host defense at the epigenetic level, revealing a previously unrecognized mode of insect-mediated manipulation of plant immunity and highlighting lncRNAs as cross-kingdom regulators. Significance StatementPlant-herbivore interactions are traditionally viewed as battles over nutrients and defense signaling, mediated largely by proteins and small RNAs. Here, we demonstrate that long non-coding RNAs from brown planthopper saliva are translocated into rice, migrate systemically, and function as epigenetic effectors that suppress key transcription factors in jasmonic acid-mediated defense. Unlike insect mRNAs, these lncRNAs persist in the plant and reprogram immunity by interfering with histone deposition. This discovery uncovers a new class of mobile, RNA-based virulence factors, expands our understanding of cross-kingdom regulation, and suggests innovative strategies for pest control targeting RNA effectors.

plant biology↗

Using cross-species co-expression to predict metabolic interactions in microbiomes.

In microbial ecosystems, metabolic interactions are key determinants of species relative abundance and activity. Given the immense number of possible interactions in microbial communities, their experimental characterization is best guided by testable hypotheses generated through computational predictions. However, widely adopted software tools - such as those utilizing microbial co-occurrence - typically fail to highlight the pathways underlying these interactions. Bridging this gap will require methods that utilize microbial activity data to infer putative target pathways for experimental validation. In this study, we explored a novel approach by applying cross-species co-expression to predict interactions from microbial co-culture RNA-sequencing data. Specifically, we investigated the extent to which co-expression between genes and pathways of different bacterial species can predict competition, cross-feeding, and specialized metabolic interactions. Our analysis of the Mucin and Diet-based Minimal Microbiome (MDb-MM) data yielded results consistent with previous findings and demonstrated the methods potential to identify pathways that are subject to resource competition. Our analysis of the Hitchhikers of the Rhizosphere (THOR) data showed links between related specialized functions, for instance, between antibiotic and multidrug efflux system expression. Additionally, siderophore co-expression and further evidence suggested that increased siderophore production of the Pseudomonas koreensis koreenceine BGC deletion-mutant drives siderophore production in the other community members. In summary, our findings confirm the feasibility of using cross-species co-expression to predict pathways potentially involved in microbe-microbe interactions. We anticipate that the approach will also facilitate the discovery of novel gene functions through their association with other species metabolic pathways, for example, those involved in antibiotic response. ImportanceAn improved mechanistic understanding of microbial interactions can guide targeted interventions or inform the rational design of microbial communities to optimize them for applications such as pathogen control, food fermentation, and various biochemical processes. Existing methodologies for inferring the mechanisms behind microbial interactions often rely on complex model-building and are therefore sensitive to the introduction of biases from the incorporated existing knowledge and model-building assumptions. We highlight the microbial interaction prediction potential of cross-species co-expression analysis, which contrasts with these methods by its data-driven nature. We describe the utility of cross-species co-expression for various types of interactions and thereby inform future studies on use-cases of the approach and the opportunities and pitfalls that can be expected in its application.

bioinformatics↗

Developmental Connectomics of the Mouse Cerebellum

To uncover the developmental processes that establish the precise patterns of synaptic connectivity in the CNS, we employed a connectomic approach in the mouse cerebellar cortex between birth and 2 weeks of age. There were dramatic quantitative and qualitative changes in the structure and connectivity of cerebellar cells. Parallel fiber synapses onto Purkinje cells increased [~]500-fold, with the most rapid growth taking place a week after birth. To support this profound synaptogenesis, Purkinje cells generated thousands of transient parallel fiber-oriented filopodia that received nascent synapses from parallel fibers. Importantly, we find that granule cells initiate synaptic output onto Purkinje cells only after receiving mossy fiber input, revealing a sequential, input-dependent logic for circuit assembly. In sharp contrast to the concurrent pruning of climbing fiber inputs, parallel fiber connectivity expanded and became highly individualized during development. Despite anatomical overlap, neighboring Purkinje cells share significantly fewer parallel fiber inputs than expected by chance. Moreover, parallel fibers themselves diverged spatially, further enforcing selective input allocation and resulting in highly specific parallel fiber cohorts for each Purkinje cell. Our findings uncover a mechanistic sequence in which early afferent activity and transient cellular structures guide the selective wiring and expansion of parallel fiber input to Purkinje cells, establishing developmental principles that ensure functional specificity in the mature brain.

neuroscience↗

Application of MT3 in the Development and Immunogenicity Evaluation of GnRH Vaccines

Research on immune castration vaccines is of great significance for animal management. In this study, five copies of GnRH were linked to two MT3s by a flexible linker, GGGGS, to construct a recombinant plasmid, pET30a-GnRH5-MT3, which was expressed and purified using E. coli BL21(DE3) cells. The recombinant protein was best expressed under the induction conditions of 25 with 0.25 mM IPTG, with a purity of up to 80% after purification. It was mixed with the external adjuvant ISA 206 and immunized mice by subcutaneous injection. Serum levels of GnRH-specific Antibody, T, FSH and LH were detected by ELISA, and testicular tissue morphology was observed by HE staining. The results showed that GnRH5-MT3 recombinant protein combined with external adjuvant could efficiently induce GnRH-specific antibody production in male mice (P < 0.01-0.001) and significantly reduce the Serum LH, FSH and T concentrations (P < 0.01-0.001). The immunized mice had sparse cells in the seminiferous tubules of the testis, significantly reduced cells at various developmental stages, and almost no mature spermatozoa. This study provides experimental basis for further application of the vaccine in animal immune castration.

immunology↗

Variant U1 snRNAs contribute to cell cycle and differentiation control of human iPS cells

Maintenance of stem cell identity as well as differentiation of stem cells into the various lineages requires intricate regulation of gene expression. Despite intensive research, our understanding of these regulatory networks remains incomplete. Here, we focus on the understudied paralogs of the U1 small nuclear RNA (snRNA) gene known as variant U1 (vU1) snRNAs. By generating isogenic knockout lines of human induced pluripotent stem cells for two different vU1s, we show that their loss profoundly changes both hiPSC gene expression and cell cycle profiles. These changes appear to manifest at the level of alternative splicing choices, including those at recursive splicing sites, and lead to the differential availability of stem cell regulators. Together, our results shed new light on the function of vU1 snRNAs and further our understanding of the programs controlling human pluripotency.

genomics↗

Genome Sequencing of Rice Landraces from the Yuanyang Terraces Uncovers Ancient and Diverse Lineages of Indica Rice

High-yielding elite rice cultivars exhibit limited genetic variability, raising concerns about our capacity to sustain productivity in the face of changing biotic and abiotic threats. Meeting the challenges that lie ahead largely depends on our ability to make use of novel sources of genetic variation and re-engineer agrosystems. Here, we report on the evolutionary history and population genetic structure of 353 accessions representing 91 landraces from Chinas centuries-old Yuanyang terraces of rice paddies (YYT). We found that the indica YYT landrace population is genetically structured and exhibits high standard variation. Analysis of natural selection reveals that innate immunity genes have a marked difference in coevolutionary dynamics between modern and traditional rice, characterized by a stronger influence of directional selection, which reduces diversity, in modern varieties. Our study highlights the importance of preserving landraces and the need for targeted efforts to integrate the standing variation in landraces into new varieties.

evolutionary biology↗

Crosslinking of Lipid Nanoparticles Enhances the Delivery Efficiency and Efficacy of mRNA Vaccines

Lipid nanoparticles (LNPs) have enabled the effective delivery of RNA therapeutics and mRNA vaccines. However, their broader applications are limited by the suboptimal stability and endosomal escape efficiency. Here, we present an easy-to-adopt post-assembly crosslinking approach to enhance the structural and functional stability of mRNA LNPs. By leveraging a series of cholesterol derivatives and crosslinking methods, we induce crosslinks of the lipid components following mRNA LNP assembly to form the crosslinked LNPs (cLNPs). We systematically evaluated crosslinking parameters and identified optimal conditions that enhance both the physical stability and transfection efficiency of cLNPs. Our findings demonstrate that cLNPs exhibit improved structural integrity under storage and lyophilization conditions, as well as increased extracellular stability and endosomal escape efficiency, resulting in improved performance of mRNA LNPs both in vitro and in vivo. This crosslinking strategy represents a critical advance in LNP engineering, enabling more resilient LNPs and broadening the applicability of LNP-based therapies for gene therapy and vaccine delivery. Our work lays the foundation for developing next-generation LNPs with superior stability and delivery efficiency, broadening the impact of RNA therapeutics and vaccines.

bioengineering↗

Senolytic-Resistant Senescent Cells Have a Distinct SASP Profile and Functional Impact: The Path to Developing Senosensitizers

The senescent cell (SC) fate is linked to aging, multiple disorders and diseases, and physical dysfunction. Senolytics, agents that selectively eliminate 30-70% of SCs, act by transiently disabling the senescent cell anti-apoptotic pathways (SCAPs), which defend those SCs that are pro-apoptotic and pro-inflammatory from their own senescence-associated secretory phenotype (SASP). Consistent with this, a JAK/STAT inhibitor, Ruxolitinib, which attenuates the pro-inflammatory SASP of senescent human preadipocytes, caused them to become "senolytic-resistant". Administering senolytics to obese mice selectively decreased abundance of the subset of SCs that is pro-inflammatory. In cell cultures, the 30-70% of human senescent preadipocytes or human umbilical vein endothelial cells (HUVECs) that are senolytic-resistant (to Dasatinib or Quercetin, respectively) had increased p16INK4a, p21CIP1, senescence-associated {beta}-galactosidase (SA{beta}gal), {gamma}H2AX, and proliferative arrest similarly to the total SC population (comprising senolytic-sensitive plus -resistant SCs). However, the SASP of senolytic-resistant SCs entailed less pro-inflammatory/ apoptotic factor production, induced less inflammation in non-senescent cells, and was equivalent or richer in growth/ fibrotic factors. Senolytic-resistant SCs released less mitochondrial DNA (mtDNA) and more highly expressed the anti-inflammatory immune evasion signal, glycoprotein non-melanoma-B (GPNMB). Transplanting senolytic-resistant SCs intraperitoneally into younger mice caused less physical dysfunction than transplanting the total SC population. Because Ruxolitinib attenuates SC release of pro-apoptotic SASP factors, while pathogen-associated molecular pattern factors (PAMPs) can amplify the release of these factors rapidly (acting as "senosensitizers"), senolytic-resistant and senolytic-sensitive SCs appear to be interconvertible.

cell biology↗

Mild weight loss promotes plaque growth and synthesis of pro-atherogenic lipids in ApoE-deficient mice fed a high-fat, high-cholesterol diet

BackgroundAccording to the recent ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease, achieving an initial weight loss of [&ge;]5% over six months in individuals with obesity is associated with clinically meaningful reductions in cardiovascular risk factors. However, emerging evidence suggests that weight loss may paradoxically increase the risk of CVD and atherosclerosis in certain populations. Motivated by these counterintuitive findings, we hypothesized that mild weight loss may induce metabolic reprogramming that promotes atherogenesis, potentially via an upregulation of pro-atherogenic lipids. MethodsApolipoprotein E-deficient mice were fed either a standard Chow or a high-cholesterol/high-fat (HCHF) diet for six months. A subset in each group underwent mild caloric restriction to achieve [~]5% body weight reduction. Atherosclerotic plaque burden in the brachiocephalic artery was assessed histologically. Hepatic lipidomic profiling was conducted via ESI-MS/MS, and lipid changes were compared with published plasma lipidomic data from obese human subjects stratified by CVD and diabetes status. Cardiovascular risk was further evaluated using the ceramide risk score (CERT1). ResultsMild weight loss induced significant plaque growth, increasing lesion area by 28% in Chow-fed and 53.8% in HCHF-fed mice relative to controls. In HCHF-fed mice, caloric restriction markedly elevated free cholesterol and multiple pro-atherogenic phospholipids, including nine phosphatidylcholine, six phosphatidylethanolamine, one lysophosphatidylcholine, two sphingomyelin, and three ceramide species. Seven cholesterol esters also increased, and a CERT1 score of 8.1 indicated high CVD risk. These pro-atherogenic lipids were confirmed by comparison with published plasma lipidomic data from CVD and diabetes patients. In contrast, weight loss under Chow conditions caused minimal lipid alterations, with only isolated increases in phosphatidylcholine and lysophosphatidylcholine species. ConclusionsMild weight loss under high-fat dietary conditions accelerates atherosclerosis through increased production of pro-atherogenic lipids. These findings underscore the need to monitor lipidomic responses during weight loss interventions in obese individuals with CVD risk. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=187 HEIGHT=200 SRC="FIGDIR/small/670993v1_ufig1.gif" ALT="Figure 1"> View larger version (71K): org.highwire.dtl.DTLVardef@1330150org.highwire.dtl.DTLVardef@19b2ee1org.highwire.dtl.DTLVardef@122c910org.highwire.dtl.DTLVardef@be7270_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical Abstract model of phospholipid-driven atherosclerosis progression. Graphical summary depicting the mechanistic link between hypercholesterolemia, phospholipid composition, and atherosclerotic plaque development. The left panel highlights pro-atherogenic phospholipids, while the right panel shows anti-atherogenic phospholipids, both grouped by class and correlated with plaque size. Phospholipids enclosed within the dashed box represent those exhibiting statistically significant changes. HighlightsO_LIMild weight loss ([~]5%) in ApoE-deficient mice fed a high-fat, high-cholesterol diet led to a paradoxical increase in atherosclerotic plaque burden. C_LIO_LIWeight loss under metabolically adverse dietary conditions may induce pro-atherogenic lipid remodelling that exacerbates atherosclerosis. C_LIO_LICareful monitoring of atherogenic lipid species may be warranted in obese patients with existing cardiovascular disease undergoing dietary interventions. C_LIO_LIComprehensive, tailored lifestyle interventions--beyond caloric restriction alone--may be necessary to avoid unintended cardiovascular harm during weight loss. C_LI

pathology↗

Identification and quantification of alternative polyadenylation sites in single cell RNA-seq data using scPAISO

AbstractsAlternative polyadenylation (APA) is a critical posttranscriptional mechanism that generates transcriptomic diversity through the production of mRNA isoforms with distinct 3 UTRs or coding sequences. Current APA analysis based on single-cell RNA sequencing (scRNA-seq) for establishing cell type-specific APA landscapes primarily rely on Read2 data, which lacks precise cleavage site (CS) information. This limitation restricts their ability to achieve precise de novo mapping of polyadenylation sites (PASs). Here, we present single-cell PolyAdenylation ISOform quantification (scPAISO), a computational pipeline designed for de novo identification of PAS and quantification of PAS isoforms in scRNA-seq data, by leveraging the often-discarded Read1 from 3 tag-based scRNA-seq protocols. Unlike existing tools, scPAISO directly captures mRNA 3 end cleavage sites, enabling superior performance in motif enrichment (stronger AAUAAA signal) and peak precision (sharper PAS peaks). Moreover, the smaller peak widths enhance the spatial resolution, enabling more accurate detection of closely spaced PASs in the genome. By integrating Read1 and Read2 data, scPAISO achieves isoform-level quantification with an assignment accuracy exceeding 95%. We demonstrate the robustness of scPAISO in identifying PASs and quantifying APA events across diverse biological contexts, including hematopoiesis, systemic sclerosis (SSc), and mouse tissues. We identified stage-specific 3 UTR lengthening in hematopoietic progenitors, global 3 UTR remodeling in SSc and tissue-specific polyadenylation (PA) preference along with RNA-binding proteins in mice. Overall, scPAISO represents a significant advancement in the analysis of APA at single-cell resolution and provides a powerful tool for exploring the regulatory landscape of APA, offering new insights into transcriptome complexity and gene regulation in both health and disease.

bioinformatics↗

PARP activity is essential for retinal photoreceptor survival in the human homologous RhoI255del mouse model for autosomal dominant retinitis pigmentosa

Retinitis Pigmentosa (RP) is a group of rare, inherited, neurodegenerative diseases of the retina that primarily affect rod photoreceptors. The initial loss of rods is followed by a secondary cone photoreceptor degeneration and eventually legal blindness. Despite several attempts, RP still remains essentially untreatable. In recent years, inhibition of poly(ADP-ribose)polymerase (PARP) has been proposed as a potential therapeutic strategy of autosomal-recessive RP, based on promising work in preclinical animal models. However, the effects of PARP inhibitors in autosomal-dominant RP are still largely unknown. Here, we employed a novel, human-homologous rhodopsin-mutant RhoI255del/+ mouse model for autosomal dominant RP to assess the impact of different PARP inhibitors on the progression of photoreceptor degeneration. The PARP inhibitors used -olaparib, saruparib, INO1001, and nicotinamide- target different PARP isoforms, and their potentially differential effects were evaluated in organotypic retinal explants cultivated under entirely defined conditions. Readouts comprised in situ activity assays for PARP and calpain-type proteases, the TUNEL assay for cell death, as well as immunostaining for activated calpain-2, activated caspase-3, rhodopsin, and cone arrestin-3. Unexpectedly, and in contrast to previous findings in animal models for recessive RP, all of the included PARP inhibitors led to a marked and dose-dependent rod photoreceptor toxicity in the RhoI255del model for dominant RP. Furthermore, this effect appeared to be independent of rhodopsin expression. On the other hand, both cone photoreceptors and inner retinal neurons were apparently unaffected by PARP inhibition. The present study thus demonstrates the importance of PARP activity for rod photoreceptor viability in a dominant rhodopsin mutant, highlights the need for a deeper understanding of the mechanisms underlying photoreceptor degeneration in different RP forms, and cautions against the indiscriminate use of PARP inhibitors for the treatment of RP.

neuroscience↗

Mid-zone hepatocytes trade proliferation for survival via Atf4-Chop axis in early acute liver injury

Hepatocytes undergo extensive proliferation to facilitate liver repair after injury, yet early adaptive changes prior to proliferation remain unclear. Here, we report that during early acetaminophen (APAP)-induced liver injury, hepatocytes exhibit transient proliferation suppression that is most pronounced in mid-zone hepatocytes, consistent with zonal APAP metabolism. While spatial transcriptomics (ST) provided robust evidence for this arrest in the mid-zone, support for a similar arrest in pericentral hepatocytes was limited. Integrating ST with immunohistochemistry and functional studies, we identified a unique mid-zone stress-response program centered on the Atf4-Chop axis, which suppresses proliferation via the cell cycle inhibitor Btg2. Together, our findings support a model in which mid-zone hepatocytes transiently prioritize stress adaptation over proliferation, thereby preserving regenerative capacity for subsequent liver repair.

pharmacology and toxicology↗

A Super-Resolution Spatial Atlas of SARS-CoV-2 Infection in Human Cells

Coronaviral replication depends on double-membrane vesicles (DMVs), yet where polyprotein processing occurs and how replication organelles mature remain unresolved. We built a multi{-}color super-resolution atlas of SARS-CoV-2 RNA, non-structural and structural proteins in infected human cells, combining 3D single-molecule localization with radial and angular pair-correlation analysis. The atlas uncovers fundamental spatial principles. First, nsp5 (3CLpro) localizes within the DMV lumen near pores, with nsp7-nsp16 positioned interior to nsp4, supporting a protease-dependent maturation model in which nsp5 action permits membrane closure and subsequently completes intravesicular polyprotein processing to activate replication complexes. Second, we identify dsRNA connectors bridging DMVs and non-canonical, nsp3/4-lacking dsRNA granules decorated with replicase components, consistent with a condensate-mediated route for trafficking replication intermediates. Third, mapping structural proteins reveals M- and S-positive virion assembly intermediates along the secretory route, while premature intracellular S1 shedding captures the baseline instability of the original virus isolate prior to evolutionary adaptation. Finally, the antiviral nirmatrelvir induces multilayered bodies of uncleaved polyproteins (nsp4-5-10-16) that persist after washout and precede rapid rebound, suggesting a drug-induced reservoir state. Beyond mapping the viral architecture, this atlas resolves the spatial context of proteolysis and organelle remodeling, providing a framework for pan-coronaviral mechanisms and antiviral design.

microbiology↗

CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malignancies, yet predicting patient-specific treatment efficacy and neurotoxicity remains a major clinical challenge due to the complex and heterogeneous nature of the infused CAR-T cell populations. Here, we introduce CART-GPT, a transformer-based model fine-tuned on a curated atlas of 1.12 million CAR-T single-cell RNA-seq profiles annotated with clinical outcomes. CART-GPT is the first AI model developed for CAR-T therapy that predicts both treatment response and the risk of immune effector cell-associated neurotoxicity syndrome (ICANS), achieving state-of-the-art performance (AUC ~0.8) and marking a significant advance in the field. The model provides interpretable insights, revealing that neither therapeutic efficacy nor neurotoxicity is driven by individual cell types alone, but by the combined influence of discrete, distinct subsets across diverse T cell states and transcriptional programs. A novel cell aggregation strategy links single-cell predictions to patient-level metrics, enhancing both accuracy and biological relevance. As a contribution to this ever-evolving field, we also release a comprehensive, annotated single-cell CAR-T atlas as a community resource to facilitate future research in immunotherapy. These advances demonstrate the potential of foundation models in single-cell biology to inform precision CAR-T treatment planning and facilitate the rational design of next-generation cell therapies.

bioinformatics↗

LIPTER, a cardiomyocyte-enriched long noncoding RNA, controls cardiac cytoskeletal maturation and is regulated by a cardiomyocyte-specific enhancer.

Cardiac development is characterized by a complex series of molecular, cytoskeletal and electrophysiological changes that guarantee the proper functioning of adult cardiomyocytes (CMs). These changes are defined by cell-type-specific transcriptional rewiring of progenitor cells to form CMs, and are regulated by various epigenetic elements, such as long noncoding RNAs (lncRNAs). LncRNAs are versatile epigenetic regulators as they may act in cis or in trans to orchestrate important gene programs during cardiac development and may concurrently encode micropeptides. LIPTER is one such lncRNA, previously shown to regulate lipid droplet transport in cardiomyocytes and thus an important regulator of cardiomyocyte metabolism. Here we show that LIPTER also plays a role in the cytoskeletal maturation of CMs, as loss of LIPTER leads to persistent expression of fetal genes, changes in chromatin accessibility, disorganized sarcomeres and impaired calcium homeostasis in CMs. Furthermore, we have identified a cardiomyocyte-specific regulatory enhancer that regulates the expression of LIPTER in CMs. CRISPR-mediated inhibition of this enhancer led to reduced LIPTER expression in CMs and increased expression of fetal genes. This CM-specific enhancer could therefore be manipulated to control the expression of LIPTER for therapeutic benefit. In summary, we have unravelled a novel role of LIPTER in CMs cytoskeletal maturation and have identified a CM-specific enhancer for LIPTER.

genomics↗

A Nanovial-Based Platform for Functional Discovery of Antigen-Reactive TCRs from Unconventional T Cells

Unconventional T cells, such as mucosal-associated invariant T (MAIT) cells and invariant natural killer T (iNKT) cells, recognize non-peptide antigens presented by MR1 and CD1d, respectively, and play pivotal roles in immunity, allowing targeting of cells based on metabolic activity. Although components of the T cell receptors (TCRs) for these unconventional T cells are invariant, significant variability in the CDR3 regions still exist, opening questions as to how TCR sequence and function may be linked, and how to maximize the therapeutic potential of engineered unconventional T cells. Here, we develop a nanovial-based functional screening platform that enables high-throughput discovery of TCRs from unconventional T cells based on direct antigen recognition and cytokine secretion. By selectively labeling nanovials with MR1 and CD1d molecules displaying their cognate ligands, we achieve dose-dependent capture and activation of MAIT and iNKT cells from complex human PBMC samples comprising tens of millions of cells. Using oligonucleotide barcodes conjugated to nanovials encoding the antigen-presenting molecules and loading cytokine capture antibodies, we perform secretion-encoded single-cell sequencing to link TCR identity, gene expression, antigen specificity, and functional response. Applying this method, we isolate rare reactive T cells, recover their TCRs, and validate five novel MAIT TCRs. All five TCRs, when re-expressed in primary T cells, confer antigen-specific cytokine secretion and cytotoxicity. The top two TCRs were evaluated using an in vivo solid tumor model, demonstrating specific tumor homing and efficacy. This function-first strategy offers a powerful tool to uncover functional TCRs from unconventional T cells, yielding a 100% hit rate when secretion-based validation is included as part of the initial screen, unlocking new opportunities for cell-based immunotherapy.

bioengineering↗