Biology subjects

Xiong, X.

Publications and source records attributed to Xiong, X..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Global Proteomic Analysis of Colorectal Cancers Stratified by Microsatellite Instability Subtype Reveals Protein Differences

Lynch syndrome, historically known as hereditary nonpolyposis colorectal cancer, is caused by germline mutations in the DNA mismatch repair (MMR) genes, MLH1, MSH2 (EPCAM), MSH6, and PMS2. While the genetic changes associated with Lynch Syndrome have previously been characterized, there have not been studies of the associated proteomic alterations, in part because of the limited availability of primary samples and the absence of in vitro model systems. In this study, the first large-scale tissue proteomic assessment of Lynch Syndrome samples as well as three other subtypes of colorectal cancer was completed with specimens from the Ohio Colorectal Cancer Prevention Initiative. The cohort contained three groups of microsatellite unstable (MSI-high) CRC patients (Lynch syndrome, double somatic MMR mutation, and MLH1 hypermethylation) and a group of microsatellite stable (MSS) CRC patients. A total of 122 tumor and complimentary normal mucosa samples from 61 patients were evaluated using label-free bottom-up proteomic analysis. Hierarchical clustering analysis of the global proteome showed that the MSS group was significantly different than the three MSI-high groups. Of the 1,084 proteins found to be dysregulated across all four colorectal cancer subtypes, there were age at diagnosis associated shifts in proteins correlated with tumor proliferation and immune regulation for the Lynch syndrome and Double Somatic samples. The proteins TPD52, GMDS, and DSP showed increased protein abundance correlated with older age at diagnosis. In addition, the Lynch syndrome samples showed substantial sex-based differences in immune and inflammatory pathways, for example, downregulation of ZG16, DIS3, and WDR43. This study fills a critical gap as the first proteomic characterization of Lynch syndrome samples to date. Data are available via ProteomeXchange with identifier PXD073693. TeaserThis is the first study of the global proteomic differences between Lynch Syndrome and other forms of colorectal cancer.

cancer biology↗

bioRxiv2026

Novel circadian clock activators display anti-obesity efficacy via suppression of adipocyte development and hypertrophy

The circadian clock exerts temporal coordination of metabolic processes to maintain homeostasis, and its disruption predisposes to the development of obesity and insulin resistance. Despite the established genetic basis of clock modulation in adipocyte development, whether it can be targeted for anti-obesity interventions remains to be explored. Here we report the novel actions of clock-activating molecules, chlorhexidine and a new derivative CM002, on inhibiting adipocyte development and hypertrophy that results in anti-obesity efficacy in vivo. Both chlorhexidine and CM002 were sufficient to activate clock in adipocytes with induction of core clock components and shortening of clock period length. Consistent with their clock-activating properties, these compounds suppressed the distinct lineage commitment and terminal differentiation stages of adipogenic precursor cells mediated via activation of the Wnt signaling pathway. Furthermore, CM002 attenuated lipid storage and adipocyte hypertrophy by suppressing the lipogenic and adipogenic program in a clock-dependent manner. Most importantly, CM002 administration in mice with diet-induced obesity was sufficient to induce clock activation in adipose depots, leading to robust suppression of adipogenic factors and lipogenic enzymes with marked effect on reducing fat mass and promoting insulin sensitivity. Collectively, our findings uncovered the anti-adipogenic properties of novel small molecule clock activators with demonstrated anti-obesity efficacy. These compounds provide novel chemical probes to dissect clock function in metabolic regulations with translational potential toward development of first-in-class clock-targeting drugs for anti-obesity therapy. HighlightsO_LIDiscovery of the anti-adipogenic properties of the clock activator chlorhexidine C_LIO_LIIdentification of a new clock-activating molecule CM002 C_LIO_LICM002 inhibits the lineage commitment and terminal differentiation of adipocytes C_LIO_LIClock activation by CM002 suppresses lipid storage in mature adipocytes C_LIO_LICM002 displays anti-obesity efficacy in diet-induced obesity model C_LI

physiology↗

bioRxiv2025

AI Identifies Broadly Neutralizing Antibodies from an IGHV1-69 Public Antibody Class Exerting Continued Selection Over SARS-CoV-2

R1-32-like public antibodies, characterized by shared IGHV1-69/IGLV1-40 usage, are elicited in more than 50% of individuals with COVID-19 and have been implicated in driving recurrent mutations at L452SARS2 and F490SARS2 within their convergent epitope in the SARS-CoV-2 spike receptor-binding domain. These mutations effectively mediate escape from non-affinity-matured R1-32-like antibodies with germline-like sequences. Here, we characterize four affinity-matured R1-32-like antibodies, C092, C807, BD56-104, and BD56-597, that tolerate L452SARS2 and F490SARS2 mutations. We show that this tolerance arises from residues introduced by somatic hypermutation at convergent positions across multiple CDR loops and surrounding regions, thereby creating additional contacts that reinforce epitope binding. An unusual N354SARS2 glycosylation site, which emerged in BA.2.86 and became fixed in its descendants, is linked to escape from affinity-matured R1-32-like antibodies, implying ongoing selection by this public antibody class. Using an AI model trained on integrated structural, neutralization, and binding data, we further identified ZL525, an ultrapotent R1-32-like antibody with pan-SARS-CoV-2 variant activity, including against the highly evasive KP.3 variant carrying the N354SARS2 glycosylation, and broad sarbecovirus cross-reactivity extending to SARS-CoV-1. Together, these findings show how affinity maturation enables public antibodies to adapt to viral antigenic drift, reveal their role in shaping SARS-CoV-2 antigenic evolution, and demonstrate the potential of AI-empowered strategies for discovering broadly neutralizing antibodies.

immunology↗

bioRxiv2025

A human arteriovenous differentiation roadmap reveals vein developmental mechanisms and vascular effects of viruses

Extracellular signals and cell-fate trajectories during vein development remain elusive, despite trailblazing insights into artery development. Here we exploit human pluripotent stem cell differentiation and mouse embryology to present a model that answers longstanding questions: vein endothelial cell (EC) differentiation unfolds in two steps driven by opposing extracellular signals. First, VEGF differentiates mesoderm into "primed" ECs, newly-defined progenitors that co-express certain arterial (SOX17) and venous (APLNR) markers. Second, primed ECs execute vein differentiation upon VEGF/ERK inhibition; however, upon VEGF activation they can instead form artery ECs. The arteriovenous plasticity of primed ECs was supported by intersectional lineage tracing. Future venous genes including NR2F2 harbor poised chromatin in primed ECs, but are only transcribed upon VEGF/ERK inhibition. SOXF transcription factors, including SOX17, confer primed ECs with vein differentiation competence. Collectively, this two-step vein differentiation model--entailing primed EC intermediates and VEGF/ERK inhibition to trigger vein differentiation--has implications for VEGF-modulating therapies.

developmental biology↗

bioRxiv2025

Enhancing Proteoform Sequence Coverage Using Top-Down Mass Spectrometry with In-Source Fragmentation and Middle-Down Mass Spectrometry

The study of complex proteoforms with mutations and post-translational modifications has gained increasing attention with the advancement of mass spectrometry (MS)-based techniques. Achieving high proteoform sequence coverage by MS is essential for accurately characterizing these complex proteoforms. Extensive efforts have been made to increase proteoform sequence coverage using deep bottom-up and top-down MS strategies. In this study, we evaluated top-down and middle-down MS approaches for enhancing proteoform sequence coverage using three proteins: ubiquitin, myoglobin, and carbonic anhydrase II. In the top-down MS approach, we applied in-source fragmentation (ISF) to generate pseudo-MS3 spectra, thereby improving sequence coverage. For the middle-down MS strategy, we performed short-duration enzymatic digestions to produce longer peptides that preserve more proteoform sequence information. Our experimental results demonstrated that ISF and partial digestion significantly increased the sequence coverage of the proteins, achieving coverage greater than 90%.

bioinformatics↗

bioRxiv2025

Sarbecovirus Rc-o319 S-Protein Structures Reveal Highly Specialized Adaptation to Rhinolophus cornutus ACE2

Bat sarbecoviruses often exhibit species-dependent ACE2 specificity. Understanding the determinants of receptor specificity enables better assessment of the cross-species transmission potential of sarbecoviruses. Here, we characterize the S-protein of Rc-o319, a sarbecovirus identified in Japanese Rhinolophus cornutus bats. Featuring an unusual 9-amino-acid deletion within its receptor binding motif (RBM), Rc-o319 S-protein utilizes its cognate R. cornutus ACE2 (bACE2R.cor) but not human ACE2 (hACE2), demonstrating highly restricted receptor specificity. Cryo-EM structures reveal two locked prefusion conformations of the Rc-o319 S-trimer and define a novel type-1b receptor-binding domain (RBD), featuring a distinct beta-loop (BL) within the RBM due to the RBM-deletion. The Rc-o319-RBD:bACE2R.cor complex structure reveals unique interactions mediated by the specialized BL and RBM-loop of Rc-o319-RBD and by a bACE2R.corglycan. Structure-guided mutagenesis demonstrates that changes in BL and RBM-loop within the Rc-o319 S-RBD must occur simultaneously to allow medium-to-high-affinity hACE2 binding. Comparative assays further show that the bACE2R.cor receptor supports only a subset of sarbecoviruses, highlighting its restricted sarbecovirus compatibility. Our findings establish the Rc-o319 S-protein as a structurally and functionally specialized adaptation to R. cornutus ACE2 and identify the structural constraints limiting its cross-species transmission potential. Author SummarySARS-related viruses are widely found in horseshoe bats. Some can bind the human ACE2 receptor with variable affinities, whereas others bind only bat ACE2 receptors. Understanding the basis for this difference is critical for assessing spillover risk. We studied the spike protein of a bat sarbecovirus, Rc-o319, isolated from Japanese Rhinolophus cornutus horseshoe bats. Although Rc-o319 is genetically related to SARS-CoV-2, it is unable to bind the human ACE2 receptor. Structural analyses and functional experiments revealed that the Rc-o319 spike protein possesses a distinct receptor-binding motif (RBM). This RBM features a specialized "beta-loop" that replaces the "large-loop" found in human-infecting sarbecoviruses. The beta-loop enables high-affinity binding to its cognate Rhinolophus cornutus bat ACE2 receptor while simultaneously preventing optimal interaction with human ACE2. We further found that acquisition of high affinity for the human ACE2 receptor would require coordinated changes across multiple regions of the RBM, including changing the beta-loop into a large-loop structure. Together, our findings demonstrate that the Rc-o319 spike protein is highly adapted to its cognate bat ACE2 receptor and faces substantial structural constraints that limit its ability to switch to binding human ACE2.

microbiology↗

bioRxiv2025

Decoder-FFPE-seq enables sensitive, genome-wide spatial transcriptomics of archival tissues at single-cell resolution

Formalin-fixed paraffin-embedded (FFPE) tissue-compatible spatial transcriptomics (ST) is transforming biology and histopathology, but achieving high sensitivity, genome-wide coverage, single-cell resolution and researcher-accessibility remains challenging. Here, we present a dendrimeric DNA coordinate-barcoding design for FFPE-adapted spatial RNA sequencing (Decoder-FFPE-seq), by integrating RNA-to-DNA probe conversion with blotting-assisted barcoding. Decoder-FFPE-seq provides single-cell resolution with a 2.54-4.25-fold sensitivity increase in mouse brain transcriptomic profiling over similar assays with an available protocol, successfully mapping rare genes and sparse cell types. It robustly resolves tumor microenvironments (TMEs) in clinical archives preserved 6-20 years. With expanded probe libraries, Decoder-FFPE-seq captures long non-coding and viral RNAs, revealing spatial co-expression networks with mRNAs in oral squamous cell carcinomas (OSCCs). In an OSCC immunotherapy cohort, it delineates TME heterogeneity across pathology response groups and tracks spatial cellular dynamics pre- and post-immuno-chemotherapy. Decoder-FFPE-seq establishes a robust, high-resolution framework for sensitive ST profiling in fundamental and translational studies of archival tissues.

genomics↗

bioRxiv2025

Clock Modulation by Naringenin via RORα Suppresses Lipogenesis and Promotes Adipose Tissue Browning

The circadian clock orchestrates adipocyte development and lipid remodeling, with its disruption leading to the development of obesity and insulin resistance. Here we demonstrate that the flavonoid compound naringenin displays clock modulatory activity via ROR that suppresses adipocyte lipid storage while promoting browning. In adipogenic progenitors, naringenin activates ROR with induction of clock gene expression to promote circadian clock oscillation with protective effect against cytokine-induced dampening. The clock-enhancing properties of naringenin suppressed lipogenesis in mature adipocytes together with induction of browning characteristics. The inhibitory effect of naringenin on lipogenesis was dependent on clock modulation as it was abolished in ROR-deficient adipocytes. We further show that naringenin administration in vivo up-regulated ROR expression with clock gene induction together with browning of subcutaneous beige fat depot, resulting reduced fat mass and body weight. Naringenin treatment in vivo also lowered plasma glucose and free fatty acid levels, with markedly enhanced insulin signaling in adipose depots and skeletal muscle. Collectively, our findings uncover a new clock-activating mechanism of action in mediating the metabolic benefits of naringenin, suggesting its potential as a natural supplement for anti-obesity and metabolic disease interventions.

cell biology↗

bioRxiv2025

Context-dependent regulatory variants in Alzheimer's disease

Noncoding genetic variants underlie many complex diseases, yet identifying and interpreting their functional impacts remains challenging. Late-onset Alzheimers disease (LOAD), a polygenic neurodegenerative disorder, exemplifies this challenge. The disease is strongly associated with noncoding variation, including common variants enriched in microglial enhancers and rare variants nominated at loci implicated in neurodevelopment and synaptic function. These variants may perturb regulatory sequences by disrupting transcription factor (TF) motifs or altering local regulatory sequence context, with potential consequences for gene expression and chromatin accessibility. However, assessing their impact is complicated by the context-dependent functions of regulatory sequences, underscoring the need to systematically examine variant effects across diverse tissues, cell types, and cellular states. Here, we combined in vitro and in vivo massively parallel reporter assays (MPRAs) with interpretable machine-learning models to systematically characterize common and rare variants across myeloid and neuron-enriched neural contexts. Parallel profiling of variants in four immune states in vitro and three mouse brain regions in vivo revealed that individual variants can differentially and even oppositely modulate reporter activity across cellular contexts, while a subset showed immune-state-dependent effects. Within the assayed candidate set, the relative effect sizes of common and rare variants reversed between contexts, with common variants showing larger effects in THP-1 macrophages and rare variants in brain tissue. Interpretable sequence-to-function models prioritized context-biased variants and generated motif-level hypotheses, including predicted transcription-factor motif disruption and subtler changes in local motif context. To probe endogenous consequences at a prioritized locus, we used CRISPR interference to perturb a rare-variant-containing enhancer at the SEC63-OSTM1 locus, revealing metabolic and biosynthetic transcriptional programs resembling those induced by SEC63 promoter perturbation, together with a stimulation-specific interferon response. These findings show that LOAD-associated noncoding variants exhibit context-dependent effects on reporter activity and predicted chromatin accessibility, and provide a framework for linking genetic association to regulatory activity, sequence grammar and endogenous transcriptional state.

genomics↗

bioRxiv2025

Nervous Necrosis Virus Capsid Protein Functions as a SUMO E3 Ligase to Activate MAVS-Dependent NF-κB Signaling

Nervous necrosis virus (NNV) is a lethal aquatic pathogen that activates NF-{kappa}B signaling to manipulate host immune responses, yet the underlying molecular mechanisms remain poorly defined. Here, we identify the NNV capsid protein (CP) as a novel viral SUMO E3 ligase that promotes SUMOylation of Lateolabrax japonicus mitochondrial antiviral signaling protein (MAVS) to drive NF-{kappa}B activation. We show that CP induces p65 nuclear translocation and upregulates proinflammatory cytokine expression in a MAVS-dependent manner. Mechanistically, CP interacts with SUMO2 and the E2 conjugating enzyme L. japonicus UBC9 to promote MAVS SUMOylation at lysine 325 (K325), which stabilizes MAVS, facilitates its aggregation, and amplifies downstream NF-{kappa}B signaling. Notably, disruption of this modification via the K325R mutation or SUMOylation inhibition abrogates MAVS aggregation and inflammatory responses. Our findings reveal a previously unrecognized strategy by which NNV hijacks the host SUMOylation machinery to fine-tune MAVS function, promoting immune evasion and viral persistence. SummaryNervous necrosis virus (NNV) is a highly pathogenic virus in aquatic animals that manipulates host immune signaling to promote infection. Here, we identify the NNV capsid protein (CP) as a viral SUMO E3 ligase that modifies the mitochondrial antiviral signaling protein MAVS via SUMOylation at lysine 325. This modification enhances MAVS stability and aggregation, leading to robust activation of the NF-{kappa}B signaling pathway and increase expression of proinflammatory cytokines. Disruption of this modification abolishes CP-mediated immune activation. This study unveils a previously unrecognized mechanism by which NNV exploits host SUMOylation machinery to modulate MAVS function, contributing to immune evasion and facilitating viral persistence. These findings provide valuable insights into virus-host interactions and highlight potential therapeutic targets against NNV infections.

microbiology↗

bioRxiv2025

Colonization with Oxalobacter formigenes slows the progression of CKD and reduces cardiac remodeling in CKD

Accumulation of oxalate in patients with chronic kidney disease (CKD) is associated with CKD progression and increased risk of cardiac death. Whether reducing plasma or urine oxalate slows CKD progression and prevents cardiovascular complications remains unexplored. We colonized the intestines of control and CKD mice with Oxalobacter formigenes (Oxf), an oxalate-degrading microorganism. The mice were fed with the oxalate precursor hydroxyproline for 23 weeks at which time we assessed pathological changes in the kidney and heart. We demonstrate that Oxf reduces plasma oxalate (pOx) and creatinine levels, mitigates inflammation and fibrosis in the kidney, and reduces pathologic cardiac remodeling in the hearts of CKD mice. RNA-seq analysis of ventricular tissue of CKD mice reveals dysregulated expression of metabolic pathways while Oxf colonization reverses these changes. These findings demonstrate that oxalate accumulation plays a role not only in CKD progression but also in associated cardiovascular complications and suggest that strategies to reduce plasma oxalate levels may have therapeutic benefit. Translational statementChronic kidney disease (CKD) is a major health problem that can lead to kidney failure and which increases the risk of cardiovascular disease (CVD) mortality. Oxalate accumulation in advanced kidney disease contributes to further CKD progression and CVD complications. Intestinal colonization with Oxalobacter formigenes (Oxf) in a CKD animal model reduces plasma oxalate level and slows progression of both CKD and CVD. Strategies to reduce plasma oxalate levels may have therapeutic benefit in the setting of CKD.

microbiology↗

bioRxiv2025

MSMCE: A Novel Representation Module for Classification of Raw Mass Spectrometry Data

Mass spectrometry (MS) analysis plays a crucial role in the biomedical field; however, the high dimensionality and complexity of MS data pose significant challenges for feature extraction and classification. Deep learning has become a dominant approach in data analysis, and while some deep learning methods have achieved progress in MS classification, their feature representation capabilities remain limited. Most existing methods rely on single-channel representations, which struggle to effectively capture the structural information within MS data. To address these limitations, we propose a Multi-Channel Embedding Representation Module (MSMCE), which focuses on modeling inter-channel dependencies to generate multi-channel representations of raw MS data. Additionally, we introduce a "residual" connection along the channel dimension, significantly enhancing the classification performance of subsequent models. Experimental results on four public datasets demonstrate that the proposed MSMCE module not only achieves substantial improvements in classification performance but also reduces computational resource consumption and enhances training efficiency, highlighting its effectiveness and generalizability in raw MS data classification.

bioengineering↗

bioRxiv2025

Tumor hypoxia adaptation depends on FLAD1 mediated mitochondrial metabolic reprogramming

Hypoxia, a hallmark of solid tumors, promotes the malignant progression and is challenging to target. Metabolic reprogramming and the resulting metabolic vulnerabilities provide a promising strategy to target tumor hypoxia. Here we systematically compared the metabolic network differences between hypoxic and non-hypoxic cells, and developed a deep learning model, "DepFormer", to predict the dependent metabolic genes in hypoxic tumor cells. The performance of DepFormer was validated using CRISPR screening dataset. Oxidative phosphorylation was identified as the most significantly hypoxia-dependent metabolic pathway, and FLAD1 was predicted to be one of the key hypoxia-dependent metabolic genes. FLAD1 locus is amplified, and FLAD1 expression is upregulated in various tumor types, especially in hypoxic tumors. FLAD1 depletion compromises tumors adaptation to hypoxia by disrupting mitochondrial complex II activity, leading to an imbalance between succinate and fumarate, and consequent failure to adapt to hypoxia. Subsequently, we identified a drug-like inhibitor of FLAD1, which selectively inhibits the growth of tumor cells under hypoxia. Our findings reveal FLAD1 as an innovative therapeutic target for hypoxic tumors.

cancer biology↗

bioRxiv2025

Single-cell copy number alteration signature analysis reveals masked patterns and potential biomarkers for cancer

Copy number alteration (CNA) is a major type of cancer genome alteration that drives cancer progression. CNA signature analysis can reveal underlying etiology and provide biomarkers for cancer treatment, and existing CNA signature analyzes are all performed using bulk tissue samples. However CNA usually affect large proportion of genome, and the CNA profile of bulk sample does not reflect the actual CNA profiles of the individual cancer cells of the sample, especially in tumors with high heterogeneity, such as hepatocellular carcinoma (HCC). Furthermore, the evolutionary trajectory of CNA mutational processes still remain elusive. Here we build a method to comprehensively analyze the CNA signatures of HCC from single-cell and bulk sample perspective, revealing patterns and potential noise signals from the usually performed bulk tissue CNA signature analysis. Single-cell signature analysis delineated the evolutionary trajectory of HCC CNA signatures, and different CNA signatures consistently emerge in different HCC evolution stages. Single-cell CNA signatures show robust performance in patient prognosis and drug sensitivity prediction. This work not only reveals specific considerations in analyzing CNA signature derived from bulk tissue but also depicts CNA evolution process and provides potential biomarkers for the prognosis and treatment of HCC patients. HighlightSingle-cell analysis reveals CNA signatures masked in bulk tissue. Single-cell analysis delineates the evolutionary trajectory of CNA signature. Small CNAs occur early and large CNAs happens late in HCC evolution. Single-cell CNA signatures show robust performance in guiding cancer clinical treatment.

genomics↗

bioRxiv2025

Spatial Total RNA Sequencing of Formalin-Fixed Paraffin Embedded Tissues by spRandom-seq

Current oligo(dT) primers-based spatial transcriptomic methods are limited to fresh or fresh-frozen samples due to the low efficiency of oligo(dT) primers in capturing RNAs in degraded or microbial samples. Here, we have developed a random primer-based spatial total RNA sequencing (spRandom-seq) technology for simultaneously capturing whole host and microbial RNAs in formalin-fixed paraffin-embedded (FFPE) tissues. spRandom-seq eliminated 3 or 5 gene-body biases and outperformed oligo(dT)-based 10X Visium with an 8-fold higher capturing rate for lncRNA and other non-polyadenylated RNA biotypes, including miRNA, snRNA and miscRNA. In the clinical FFPE sections of breast cancer, we revealed the inherent heterogeneity within the tumor region. We also simultaneously captured host and microbial RNAs in Klebsiella pneumoniae-infected sections. Totally, spRandom-seq provided a versatile tool for both clinical pathology and infection biology with established spatial platforms, ensuring ease of operation and large-scale applications.

genomics↗

bioRxiv2025

Proteoform identification using multiplexed top-down mass spectra

Top-down mass spectrometry (TDMS) is the method of choice for analyzing intact proteoforms, as well as their post-translational modifications and sequence variations. In TDMS experiments, multiple proteoforms are often co-fragmented in tandem mass spectrometry (MS/MS) analysis, resulting in multiplexed TD-MS/MS spectra. Since multiplexed TD-MS/MS spectra are more complex than common spectra generated from single proteoforms, these spectra pose a significant challenge for proteoform identification and quantification. Here we present TopMPI, a new computational tool specifically designed for the identification of multiplexed TD-MS/MS spectra. Experimental results demonstrate that TopMPI significantly increases proteoform identifications and reduces identification errors in multiplexed TD-MS/MS spectral analysis compared to existing tools.

bioinformatics↗

bioRxiv2025

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Understanding the relationship between protein sequence and function remains a longstanding challenge in bioinformatics, and to date the lions share of related tools parse proteins at the domain or motif levels. Here, we define "protein words" as an alternative to "motif" for studying proteins and functional prediction applications. We first developed an unsupervised tool we term Protein Wordwise, which parses analyte protein sequences into protein words by analyzing attention matrices from a protein language model (PLM) through a community detection algorithm. We then developed a supervised sequence-function prediction model called Word2Function, for mapping protein words to GO terms through feature importance analysis. We compared the prediction performance of our protein word-based toolkit with a motif-based method (PROSITE) for multiple protein function datasets. We also assembled a functionally diverse data resource we term PWNet to support evaluation of protein words for predicting functional residues across 10 tasks (e.g., diverse biomolecular binding, catalysis, and ion-channel activity). Our toolkit outperforms PROSITE in all the examined datasets and tasks. By abandoning domains and instead using attention matrices from a PLM for automatic, systematic, and annotation-agnostic parsing of proteins, our toolkit both outperforms currently available tools for functional annotations at the residue and whole-protein levels and suggests innovative forms of protein analysis well-suited to the post-AlphaFold era of biochemistry.

bioinformatics↗

bioRxiv2025

A Novel COE-D8-Fosfomycin Conjugate Effectively Against First-line Antibiotic Resistant Uropathogenic Escherichia coli

Recurrent urinary tract infections (UTIs) are increasingly associated with antibiotic resistance, posing significant clinical challenges. This study evaluates the antimicrobial efficacy of the membrane-intercalating conjugated oligoelectrolyte COE-D8 against uropathogenic Escherichia coli (UPEC). Among 93 clinical UPEC isolates, over 50% demonstrated resistance to first-line antibiotics, with compound sulfamethoxazole showing the highest resistance (75% at a minimum inhibitory concentration (MIC) >512 g/mL). COE-D8 significantly reduced resistance rates, achieving less than 50% at 32 g/mL and below 5% at 512 g/mL, while demonstrating at least fourfold faster bacterial elimination than standard antibiotics. Mechanistic studies revealed that COE-D8 disrupts bacterial membranes, inducing rapid lysis. However, its cytotoxicity in mammalian cells at 2 g/mL limits clinical application. To address this, a combination therapy with fosfomycin was explored, significantly reducing COE-D8 toxicity by at least fourfold in vitro. In mouse models, fosfomycin co-administration mitigated COE-D8-induced toxicity and prevented mortality at higher doses without compromising antimicrobial efficacy. These findings highlight the potential of COE-D8, particularly in combination with fosfomycin, as a promising strategy to combat antibiotic-resistant UPEC while addressing toxicity challenges.

microbiology↗