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Huang, M.

Publications and source records attributed to Huang, M..

At least 73 records · Page 4Linked to original sources

Vitamin D regulates olfactory function via dual transcriptional and mTOR-dependent translational control of synaptic proteins

Vitamin D (VitD) deficiency, affecting over 1 billion people worldwide, is associated with neurological dysfunction, but its cell-type-specific neural mechanisms remain unclear. Using a dietary mouse model, we show that VitD bidirectionally regulates olfactory acuity: deficiency impairs odor discrimination, while supplementation enhances sensitivity. Single-nucleus and spatial transcriptomics pinpoint selective vitamin D receptor (VDR) expression in olfactory bulb (OB) tufted cells, where it drives synaptic protein expression. Genetic VDR knockdown replicates deficiency-associated olfactory deficits, establishing VDR as essential for synaptic and translational regulation. Notably, we identify mTOR-mediated protein synthesis as a critical convergence point--pharmacological mTOR inhibition (rapamycin) rescues synaptic protein deficits and behavioral impairments in VitD-deficient mice. These findings delineate a noncanonical VDR-mTOR-translational axis--complementing conventional transcriptional regulation--through which VitD serves as a nutrient-sensitive neuromodulator that integrates dietary status with synaptic functions and sensory processing. Our study expands the physiological role of VitD beyond traditional endocrine signaling and reveals mechanistic insights that may inform novel therapeutic strategies for neurological and psychiatric conditions associated with VitD deficiency.

neuroscience↗

VGLL1 contributes to both the transcriptome and epigenome of the developing trophoblast compartment

The trophectoderm (TE), the first lineage specified during mammalian development, initiates implantation and gives rise to placental trophoblasts. While animal models have elucidated key conserved signaling pathways involved in early TE specification, including BMP, WNT, and HIPPO, species-specific differences during early development emphasize the need for human-specific models. We previously identified VGLL1, a coactivator of TEAD transcription factors, as a human-specific placental marker. In this study, we employed a pluripotent stem cell (PSC)-based model of TE induction by BMP4 to investigate chromatin remodeling and transcriptional dynamics during TE formation. BMP4-induced chromatin accessibility changes promoted a trophoblast gene expression program, while mesoderm lineage markers were only transiently expressed upon canonical WNT activation. We found that VGLL1 was expressed downstream of key TE transcription factors (GATA2/3, TFAP2A/C) but was essential for establishment of full trophoblast identity by up-regulating EGFR and reinforcing GATA3 expression through positive feedback. Notably, VGLL1 enhanced canonical WNT signaling via direct regulation of WNT receptors and effectors. We also identified KDM6B, a histone demethylase that removes H3K27me3 repressive marks, as a direct VGLL1 target. KDM6B facilitated activation of bivalent promoters associated with TE markers, linking epigenetic regulation to lineage identity. Our findings establish a mechanistic framework positioning VGLL1 as a central regulator that integrates HIPPO, BMP, and WNT signaling pathways to drive establishment of human TE. Statement of SignificanceEarly development of the human placenta is essential for pregnancy success, yet the mechanisms that guide placental lineage specification remain poorly defined. Using human stem cells, we show how signaling pathways and chromatin remodeling programs work together to direct formation of the trophectoderm, the earliest placental cell type. We identify VGLL1 as a key regulator linking multiple signaling networks to gene expression and epigenetic control. Our findings reveal a species-specific mechanism of placental initiation with broad implications for understanding reproductive disorders, pregnancy loss, and advancing stem cell-based models to study and potentially treat human placental disease.

developmental biology↗

A zebrafish immunodeficiency model induced by the combination of Tacrolimus and Everolimus for rapid assessment of immune-enhancing agents

A methodology for the assessment of the immune-enhancing effects of various substances within a period of 5 days was reported. Experimentally, it was determined that the continuous treatment of Tacrollimus (0.5 ng/mL) and Everolimus (5 g/mL) on zebrafish from 48 hpf to 120 hpf was sufficient to establish an immunodeficient model. The results showed that the model exhibited a significant reduction in the number of immune cells (thymocytes, myeloid cells, and macrophages) and a greater than 50% decrease in the expression of immune-related genes (itk, hexb, cpa5, isg15, rsad2). Astragalus powder can effectively increase the content of thymic T cells and macrophages, but its effect on myeloid cells is limited. Ganoderma lucidum spore powder had the most obvious influence on macrophages, with limited impact on thymus cells and myeloid cells. Royal jelly showed a significant effect on thymus T cells and macrophages, but its effect on myeloid cells was limited. Bailing capsule can significantly increase the content of myeloid cells and thymus T cells, while its effect on macrophages was limited. The study showed immune indexes varied in recovery with different immunomodulators versus the model group, suggesting they may act via distinct mechanisms. Summary StatementA robust immune system is vital to overall health and quality of life. Recent years have witnessed surging development of immune-boosting pharmaceuticals, nutraceuticals, and functional foods. However, an easy-to-use, rapid and intuitive immunity assessment framework is still missing. Here, a methodology for the assessment of the immune-enhancing effects of various substances within a period of 5 days was reported.

immunology↗

A SET domain-containing protein and HCF-1 maintain transgenerational epigenetic memory

Epigenetic information can be inherited through a process known as transgenerational epigenetic inheritance (TEI). TEI can be initiated and maintained by small RNAs and histone modifications. The latter includes histone methylation, deposited by proteins with methyltransferase activity, including SET domain-containing proteins. Other SET domain-containing proteins with no catalytic methyltransferase activity also adopt roles in chromatin and gene expression regulation. Here, we describe SET-24, a SET domain-containing protein in Caenorhabditis elegans that belongs to a family of catalytically inactive SET proteins. SET-24 localises to germline nuclei and is required for germline immortality. Additionally, the inheritance of small RNA-driven epigenetic silencing is compromised in set-24 mutants. Using quantitative proteomics and yeast two-hybrid assays, we found that SET-24 interacts with Host Cell Factor 1 (HCF-1), a protein involved in epigenetic regulation and associated with known chromatin remodelling complexes, like COMPASS, which deposits H3K4me3. In set-24 mutants, hundreds of genes display increased H3K4me3 levels at their transcription start sites. While these changes are not matched at the transcriptional level, small RNA production is disrupted in approximately one fifth of those genes, which are normally targeted by small RNA pathways. We propose that SET-24 is a factor required to maintain epigenetic memory in the germline by maintaining a chromatin environment permissible to small RNA biogenesis over generations.

molecular biology↗

Probability-based sequence comparison finds the oldest ever nuclear mitochondrial DNA segments in mammalian genomes

The insertion of mitochondrial genome-derived DNA sequences into the nuclear genome is a frequent event in organismal evolution, resulting in nuclear-mitochondrial DNA segments (NUMTs), which serve as a significant driving force for genome evolution. Once incorporated into the nuclear genome, some NUMTs can be conserved for extended periods and may potentially acquire novel cellular roles. However, current mainstream methods for detecting NUMTs are inefficient at identifying ancient and highly degraded NUMTs, leading to their prevalence and impact being underestimated. These ancient NUMTs likely play a far greater role in genetic functions than previously recognized, including contributing to the acquisition of functional exons. This study focuses on identifying ancient NUMTs in mammalian genomes using enhanced high-sensitivity sequence comparison methods. A sensitive and accurate NUMT-searching pipeline was established, predicting 1,013 NUMTs in the human reference genome, 364 (36%) of which are newly detected compared to the UCSC reference human NUMTs database. Notably, 90 pre-eutherian human NUMTs were identified, representing significantly older NUMTs than previously reported, with origins dating back at least 100 million years. The most ancient mammalian NUMTs could even date back over 160 million years, inserted into the nuclear genome of the common ancestor of therian mammals. This study provides a comprehensive exploration of the quantity and evolutionary history of mammalian NUMTs, paving the way for future research on endosymbiotic impact on the evolution of nuclear genomes.

bioinformatics↗

Uridine Metabolism as a Targetable Metabolic Achilles' Heel for chemo-resistant B-ALL

Relapse continues to limit survival for patients with B-cell acute lymphoblastic leukemia (B-ALL). Previous studies have independently implicated activation of B-cell developmental signaling pathways and increased glucose consumption with chemo-resistance and relapse risk. Here, we connect these observations, demonstrating that B-ALL cells with active signaling, defined by high expression of phosphorylated ribosomal protein S6 ("pS6+ cells"), are metabolically unique and glucose dependent. Isotope tracing and metabolic flux analysis confirm that pS6+ cells are highly glycolytic and notably sensitive to glucose deprivation, relying on glucose for de novo nucleotide synthesis. Uridine, but not purine or pyrimidine, rescues pS6+ cells from glucose deprivation, highlighting uridine is essential for their survival. Active signaling in pS6+ cells drives uridine production through activating phosphorylation of carbamoyl phosphate synthetase (CAD), the enzyme catalyzing the initial steps of uridine synthesis. Inhibition of signaling abolishes glucose dependency and CAD phosphorylation in pS6+ cells. Primary pS6+ cells demonstrate high expression of uridine synthesis proteins, including dihydroorotate dehydrogenase (DHODH), the rate-limiting catalyst of de novo uridine synthesis. Gene expression demonstrates that increased expression of DHODH is associated with relapse and inferior event-free survival after chemotherapy. Further, the majority of B-ALL genomic subtypes demonstrate activity of DHODH. Inhibiting DHODH using BAY2402232 effectively kills pS6+ cells in vitro, with its IC50 correlated with the strength of pS6 signaling across 14 B-ALL cell lines and patient-derived xenografts (PDX). In vivo DHODH inhibition prolongs survival and decreases leukemia burden in pS6+ B-ALL cell line and PDX models. These findings link active signaling to uridine dependency in B-ALL cells and an associated risk of relapse. Targeting uridine synthesis through DHODH inhibition offers a promising therapeutic strategy for chemo-resistant B-ALL as a novel therapeutic approach for resistant disease.

cancer biology↗

Regionally specific resting-state beta neural power predicts brain injury and symptom recovery in adolescents with concussion: a longitudinal study

Mild traumatic brain injury (mTBI) is common in adolescents. Magnetoencephalography (MEG) studies (primarily reporting on adult males) have demonstrated abnormal resting-state (RS) brain activity in mTBI. The present study sought to identify RS abnormalities in male and female adolescents with mTBI (no previous mTBI and no previous DSM-5 diagnosis) identified from an outpatient specialty care concussion program setting as a basis for evaluating potential clinical utility. Visit 1 MEG RS data were obtained from 46 adolescents with mTBI (mean age: 15.4 years, 25 females) within 4 months of a mTBI (mTBI acute to sub-acute period) as well as from 34 typically developing (TD) controls (mean age: 14.8 years; 17 females) identified from the local community. Visit 2 RS data (follow-up [~]4.3 months after Visit 1; mTBI sub-chronic period) were obtained from 36 mTBI (19 females) and 29 TD (14 females) of those participants. Source-space RS neural activity was examined from 4 to 56 Hz. Visit 1 t-tests showed that group differences were largest in the beta range (16-30 Hz; mTBI < TD), with Visit 2 whole-brain linear mixed model (LMM) analyses examining beta-band group differences as a function of Visit. A main effect of Group indicated Visit 1 and 2 beta-band group differences in midline superior frontal gyrus, right temporal pole, and right central sulcus (all mTBI < TD). The group effects were large (Cohens d values 0.75 to 1.31). Of clinical significance in the mTBI group, a decrease in mTBI symptoms from Visit 1 to 2 was associated with an increase in beta power in 4 other brain regions. Present findings suggest that RS beta power has potential as a measure and perhaps as a mechanism of clinical recovery in adolescents with mTBI.

neuroscience↗

Guidestar: a spike-in approach to improve RNA detection accuracy in imaging-based spatial transcriptomics

Imaging-based spatial transcriptomics technologies, such as MERFISH and seq-FISH, use combinatorial barcoding and imaging to simultaneously detect individual RNA molecules from 10s to 10,000s of genes. These technologies require the decoding of individual RNA molecules location and gene identity from stacks of images. However, beyond using blank code-words as negative controls, there is a lack of ground truth information embedded within the assay to experimentally measure the accuracy and sensitivity of the decoding algorithm. We introduce Guidestar, a system of spike-in controls integrated within a combinatorial FISH assay, that labels a subset of RNA transcripts with additional probes. These probes are imaged separately as guide bits, which serve as ground-truth data to assess decoding accuracy at the level of individual RNA molecules. Using Guidestar to evaluate accuracy of an existing decoding method suggested alternative parameter settings that increased sensitivity with minimal impact on accuracy. We also used the Guidestar dataset to train a machine-learning based classifier to distinguish true from false RNA calls, yielding 9% and 40% higher F1 scores across cell line and tissue samples, respectively.

genomics↗

Crosslinker-free in situ hydrogel induces self-aggregation of human dental pulp stem cells with enhanced antibacterial activity

Recently, injectable hydrogels have garnered significant attention in tissue engineering due to their controlled flowability, strong plasticity, adaptability, and good biocompatibility. However, research on readily injectable in situ-forming hydrogels capable of forming functional three-dimensional (3D) tissue condensations remains limited. This study explores the development and evaluation of a carboxymethyl chitosan (CMCTS) / oxidized hyaluronic acid (oHA) hydrogel incorporated with silver sulfadiazine (AgSD) for tissue engineering applications with inherent antibacterial activity. Through physicochemical analysis, the optimal formulation of CMCTS/oHA hydrogels was established. The hydrogel demonstrated excellent injectability, enabling minimally invasive in situ delivery. In vitro cytotoxicity assays identified 0.1% AgSD as the optimal concentration, supporting cell proliferation while exhibiting antimicrobial efficacy against S. mutans and E. faecalis. In vivo studies revealed complete hydrogel degradation and good biocompatibility, with no adverse tissue reactions. The hydrogels ability to form 3D cell aggregates and support tissue regeneration underscores its potential for future 3D tissue engineering applications. Consequently, the injectable CMCTS/oHA/AgSD hydrogel developed in this study holds significant potential for application in a wide range of bioengineering fields, including antibacterial substance delivery systems and 3D tissue engineering, indicating potential for future clinical application.

bioengineering↗

A molecularly defined brain circuit module for regulating the panic-like defensive state

Panic is an episode of strong defensive state, characterized by intense fear and severe physical symptoms such as elevated cardiorespiratory activities. How the brain generates panic state remains poorly understood. Here, we developed a robot-based experimental paradigm to evoke panic-like defensive state in mice. When stimulated by the robot, the mice exhibited jumping escapes and elevated cardiorespiratory activities. With this paradigm, we identified Cbln2-expressing (Cbln2+) neurons in the posterior hypothalamic nucleus (PHN) as a key neuronal population essential for the induction of panic-like defensive state. Activation of Cbln2+ PHN neurons induced behavioral and physical symptoms of panic-like defensive state. These neurons were strongly activated by noxious mechanical stimuli and encode jumping escape vigor. They were synaptically innervated by anxiety-associated brain areas and provoked panic-like defensive state via their projection to the periaqueductal gray. Together, our results reveal a molecularly defined circuit module that regulates the panic-like defensive state in mice.

neuroscience↗

Segregated localization of target-SNARE proteins within presynaptic terminals of Munc18-1 deficient photoreceptors

Sec1/Munc18 family proteins are essential for SNARE-mediated vesicular exocytosis. However, where SNARE proteins are localized in Munc18-1 deficient presynaptic terminals remains unclear due to the rapid degeneration of neurons lacking Munc18-1. Here, we found that removing Munc18-1 from photoreceptor cells did not result in major cellular loss until postnatal day 14, which allowed us to investigate the role of Munc18-1 in endogenous presynaptic terminals. In the absence of Munc18-1, even before major photoreceptor cell degeneration, functional impairments were present. While Munc18-1 was not required for the pre-synaptic enrichment of the t-SNARE proteins syntaxin-3 and SNAP-25, it played a critical role in their proper localization. In wild-type conditions, t-SNAREs are highly colocalized. However, in the absence of Munc18-1, their distribution becomes strikingly segregated. Immuno-electron microscopy revealed that without Munc18-1, syntaxin-3 is retained within various organelle membranes rather than being targeted to synaptic plasma membranes. These findings provide the first evidence that Munc18-1 is important to prevent segregation of syntaxin-3 and SNAP-25 within presynaptic terminals.

neuroscience↗

Reprogramming the genome of M13 bacteriophage for all-in-one personalized cancer vaccine

Peptide-based vaccines face limitations in immunogenicity and stability, and challenges in co-delivering antigens and adjuvants effectively. Virus-based nanoparticles, particularly M13 bacteriophage, present a promising solution due to their genetic modifiability, intrinsic adjuvanticity, and efficient antigen presentation capabilities. Here we developed a programmable M13 phage-based personalized cancer vaccine enabling single-step antigen-adjuvant assembly. Specifically, we designed a reprogrammed (RP) phage platform that precisely regulates Toll-like receptor 9 activation by programming its genome sequence and modulates antigen density through genetic engineering. Vaccination studies with RP phages demonstrated that the immune response could be modulated by fine-tuning the adjuvanticity and antigen density, revealing an optimal antigen dose and adjuvanticity for maximum vaccine efficacy. The RP phage induced a remarkable 24-fold increase in neoantigen-specific CD8+ T cells and eradicated established MC-38 tumors when combined with anti-PD-1 therapy. These findings highlight the RP phages potential as a powerful nanovaccine platform for personalized cancer vaccines.

bioengineering↗

Engineered mitochondrial A-to-G editors with enhanced efficiency and targeting scope

Mitochondrial base editing is a powerful technology, but the current A-to-G mitochondrial DNA (mtDNA) base editors are reluctant to achieve high efficiency, which is critical for mtDNA engineering. Through laboratory evolution, TadA-8e variants were discovered with substantially increased activity and expanded targeting compatibility, especially for previously unfavorite sequence contexts, when applied to both nuclear and mitochondrial ABEs. Further engineering of the mtDNA editors (eTd-mtABEs) dramatically reduced both DNA and RNA off-targeting effects and enhanced strand-selective A-to-G editing with substitution of DddA to DNA nickases. Moreover, the eTd-mtABEs induced up to 145-fold editing frequencies compared to previous mtDNA adenine base editors in rat cells, and installed targeted mutations in all injected rat embryos with up to 74% efficiency in founders, resulting generation of SNHL and Leigh syndrome models with severe defects. It suggests that eTd-mtABEs are promising mtDNA engineering technology for basic research and for translational studies. HighlightsO_LIEngineered TadA variants enhance nuclear and mitochondrial ABE activity in all sequence contexts. C_LIO_LIAdditional mutations in eTd-mtABEs further minimize both DNA and RNA off-targeting effects. C_LIO_LIEngineered TadA variants are compatible to DNA nickase assisted strand-selective mtDNA editing. C_LIO_LIeTd-mtABEs enable highly efficient generation of rat mtDNA disease models with severe phenotypes. C_LI

bioengineering↗

Oncogene-induced senescence and senescence-associated secretory phenotype (SASP) determine the efficacy of palbociclib in PIK3CA mutated colorectal cancer

Palbociclib is an excellent CDK4/6 inhibitor, but its clinical application is mainly limited to the treatment of advanced ER+/HR+ and HER2- breast cancer. Its efficacy in colorectal cancer (CRC) is evaluated in multiple trials and so far remains undetermined. We found that the PIK3CA-mutant CRC cells were insensitive to palbociclib treatment compared with the PIK3CA wild-type counterparts, and they were in an OIS (oncogene-induced senescence) state which was predisposed to a strong senescence-associated secretory phenotype (SASP) upon treatment. These senescent cells excessively secreted various SASP factors LCN2, and ultimately caused palbociclib-resistance via upregulation of EGFR in the non-senescent CRC cells. Importantly, a drug combination screen identified that erlotinib could synergize with palbociclib to overcome the SASP-induced resistance. Overall, we found that PIK3CA mutation-induced senescence compromised the efficacy of palbociclib treatment in CRC but co-targeting EGFR could minimize the OIS-associated side effects while preserving the beneficial effects.

cancer biology↗

HSP90 buffers deleterious genetic variations in BRCA1

Protein-folding chaperone HSP90 buffers genetic variation in diverse organisms, but the clinical significance of HSP90 buffering in disease remains unclear. Here, we show that HSP90 buffers mutations in the BRCT domain of BRCA1. HSP90-buffered BRCA1 mutations encode protein variants that retain interactions with partner proteins and rely on HSP90 for protein stability and function in cell survival. Moreover, HSP90-buffered BRCA1 variants confer PARP inhibitor resistance in cancer cell lines. Low-level HSP90 inhibition alleviates this resistance, revealing a cryptic and mutant-specific HSP90-contingent synthetic lethality. Hence, by stabilizing metastable variants across the entirety of the BRCT domain, HSP90 reduces the clinical severity of BRCA1 mutations allowing them to accumulate in populations. We estimate that HSP90 buffers 11% to 28% of known human BRCA1- BRCT missense mutations. Our work extends the clinical significance of HSP90 buffering to a prevalent class of variations in BRCA1, pioneering its importance in cancer predisposition and therapy resistance.

genetics↗

Delineation of Single-cell Altas Provides New Insights for Development of Coronary Artery Lesions in Kawasaki Disease: Bad and Good Signaling Molecules

BackgroundKawasaki Disease (KD) is a vasculitis syndrome featured with a high and persistent fever and mainly affects children under 5 years of age. It is the leading cause of acquired heart disease in the form of coronary artery lesions (CALs) for children in developed countries. Most KD can be relieved with the high-dosage Intravenous immunoglobulin (IVIG) therapy, but a small proportion develop CALs after IVIG treatment. MethodsWe performed the single-cell RNA sequencing for the peripheral blood mononuclear cells (PBMCs) from three KD non-CAL patients whose samples were acquired before and after IVIG treatment and three KD CAL patients whose samples were acquired only after IVIG treatment. Cell-to-cell communication patterns were also analyzed in KD CAL and non-CAL patients ResultsOverall cell expression feature analyses show immunoglobulin and adaptive immunity related genes are upregulated in KD CAL patients while B cell activation related genes are downregulated in them. Pseudo-time analyses demonstrate that both KD non-CAL patients before treatment and KD CAL patients after treatment have a dysregulated B cell developmental trajectory while the former has a mixed T and B lineage and the latter has a mixed monocyte and B lineage. The early elevated expression of SPI1 could partly explain the dysregulated B cell development in KD CAL patients. Cell communication analyses propose a disorder cell communication pattern in KD non-CAL patients before treatment and some persistent bad cell-to-cell signals in KD CAL patients after treatment. There are four signaling molecules, APP, CCL, and MCH-II, whose expression is significantly increased in the CD14 and CD16 monocytes of KD CAL patients, where the expression of RESISTIN is significantly increased in those KD non-CAL patients. ConclusionsOur results suggest that APP, CCL, and MCH-II might be the bad signals for indicating the possible development of CAL while RESISTIN is a good one for protecting from CAL.

immunology↗

Nitrate Promoting Hair Growth Through Enhancing Wnt/β-catenin and Downregulating TGF-β/Samd/BMP signaling pathway in C57BL/6 Mice

Nitrate found widely distributed in vegetables and fruits. It has been proved to have many physiological functions through nitrate-nitrite-NO pathway, such as attenuate oxidative stress, enhance the skeletal muscle and tone skin vascular. But the function of nitrate in regulating hair growth is unclear. Here, we evaluated potential roles of nitrate on hair growth and its mechanisms by in vivo models. Mice treated with 10mM nitrate supplementation significantly promoting hair growth, along with an increase in the number of hair follicles and thickness of dermis. We further demonstrated that Wnt3a and {beta}-catenin were highly expressed in the nitrate-treated groups, while the expression of TGF-{beta}1 was attenuated. Moreover, nitrate also increased the expression levels of growth factors (Fgf, Igf-1, and Vegf). Our data indicated that nitrate supplementation could effectively accelerate hair regrowth through activating the Wnt/{beta}-catenin and inhibiting TGF-{beta}1/Smad/BMP signaling pathway. Therefore, these findings provide support for a potential therapeutic role of nitrate in preventing and treating alopecia.

biochemistry↗

LEGEND: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data

Identifying co-expressed genes across tissue domains and cell types is essential for revealing co-functional genes involved in biological or pathological processes. While both single-cell RNA-sequencing (scRNA-seq) and spatially-resolved transcriptomic (SRT) data offer insights into gene co-expression patterns, current methods typically utilize either data type alone, potentially diluting the co-functionality signals within co-expressed gene groups. To bridge this gap, we introduce LEGEND, a novel computational method that integrates scRNA-seq and SRT data for identifying groups of co-expressed genes at both cell type and tissue domain levels. LEGEND employs an innovative hierarchical clustering algorithm designed to maximize intra-cluster redundancy and inter-cluster complementarity, effectively capturing more nuanced patterns of gene co-expression and spatial coherence. Enrichment and cofunction analyses further showcase the biological relevance of these gene clusters, and their utilities in exploring context-specific novel gene functions. Notably, LEGEND can reveal shifts in gene-gene interactions under different conditions, furnishing insights for disease-associated gene crosstalk. Moreover, LEGEND can be utilized to enhance the annotation accuracy of both spatial spots in SRT and single-cells in scRNA-seq, and pioneers in identifying genes with designated spatial expression patterns. LEGEND is available at https://github.com/ToryDeng/LEGEND.

genomics↗