Biology subjects

Jiang, X.

Publications and source records attributed to Jiang, X..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

Joint Segmental Duplication Co-option Drives Human-specific Transcriptional Readthrough and Expression Fine-tuning of NPEPPS-TBC1D3

Segmental duplication (SD) is a major driver of functional changes in evolution and disease. Many genes embedded within SDs, such as NPEPPS and TBC1D3, display substantial copy number variation (CNV) across individuals. Yet, the precise identification of the functional copies and their transcriptional outputs remains largely unstudied. Focusing on NPEPPS and TBC1D3, we illustrate human-specific expression fine-tuning mechanisms associated with readthrough transcripts. We identified a human-specific NPEPPS-TBC1D3 digenic genomic structure that originated from a joint SD pair and became fixed across populations. Experiments demonstrate that this structure generates NPEPPS-TBC1D3 readthrough transcripts, which are the predominant isoforms of TBC1D3 expression in various cell types, fine-tuning its protein level. Furthermore, a human-specific hypomethylation signal within an upstream CpG island of NPEPPS precisely pinpoints the expressed TBC1D3 paralog. Moreover, we reveal transcriptional readthrough events are [~]3-fold enriched for joint-SD-associated transcriptional readthrough (JSDTR) and identify 109 JSDTR gene pairs, including neurodevelopmentally important pairs and clinically interesting SERF1A/B-SMN1/2. Taken together, our findings comprehensively describe an example of how a joint SD event shaped evolution and suggest that JSDTR is a broad mechanism for the emergence of new functions.

genetics↗

bioRxiv2026

Age-Dependent Chromatin Remodeling Drives Inflammatory Dysregulation in Tendon Cells

Aging impairs tissue function and tolerance to cellular stress by reprogramming the behavior of resident cells. With global increases in lifespan, the prevalence of chronic and degenerative musculoskeletal disorders, including tendon degeneration, continues to rise; however, effective interventions to counteract age-related decline remain limited. Here, we investigate how a central age-associated stressor, inflammation, differentially modulates tendon cell behavior derived from young and mature-aged donors. Using super-resolution microscopy to resolve nanoscale chromatin organization in conjunction with epigenomic and transcriptomic profiling, we identify age-dependent regulatory mechanisms that govern inflammatory responsiveness. Mature-aged tendon cells exhibit exaggerated pro-inflammatory and catabolic responses across chromatin, gene expression, and protein signaling levels, characterized by enhanced TNF receptor organization, elevated accessibility at pro-inflammatory regulatory elements, and robust induction of matrix-degrading enzymes. Notably, the AP-1 transcription factor family emerges as a central age-dependent regulator, displaying distinct motif accessibility patterns that bias mature tenocytes toward inflammatory and degenerative transcriptional programs. Taken together, our findings demonstrate that age-dependent epigenetic priming amplifies inflammatory sensitivity and constrains reparative gene regulation in mature tendon cells. This work provides a mechanistic framework linking chromatin remodeling to tendon degeneration and holds potential to identify epigenetic and transcriptional pathways as potential targets for rejuvenation strategies in aging musculoskeletal tissues.

bioengineering↗

bioRxiv2025

Single-cell transcriptomic atlas reveals that vascular tissues orchestrate cell fate transitions to initiate adventitious root formation in tomato

O_LIAdventitious root (AR) formation enables vegetative propagation critical for agriculture, conservation, and breeding, yet the cellular basis of AR competence in crop species remains poorly characterized. Most mechanistic studies rely on Arabidopsis, which exhibits constrained AR capacity compared to species dependent on clonal propagation. C_LIO_LIWe constructed a single-cell transcriptomic atlas of tomato (Solanum lycopersicum) AR development comprising 7,920 cells across 12 cell types. Regulatory networks were inferred using hdWGCNA and MINI-EX, validated by RNA in situ hybridization and qPCR. Cross-dataset integration with shoot-borne root initiation data enabled developmental staging, while SATURN-based integration of 118,730 vascular cells from eight species permitted evolutionary comparison. C_LIO_LICytoTRACE analysis revealed that vascular tissues--root stele and phloem--possess the highest developmental potential, supporting a model of latent stem cell-like identity rather than dedifferentiation-based reprogramming. Network analysis identified LEA3 as a central hub gene constitutively expressed throughout AR development, regulated by the DOF transcription factor DOF11. Cross-species integration demonstrated that tomato AR-initiating cells share transcriptomic similarity with woody dicots (Liriodendron, r = 0.46; Eucalyptus, r = 0.42) but not Arabidopsis (r = -0.02), with LEA3-containing macrogene weights highest in basal angiosperms and woody species. C_LIO_LIOur findings establish the DOF11-LEA3 axis as a conserved vascular identity module and suggest that AR competence represents an ancestral program retained in species with active cambial dynamics. These results reframe Arabidopsis as a derived rather than representative model for AR biology and identify molecular targets for enhancing vegetative propagation. C_LI

plant biology↗

bioRxiv2025

A changing hierarchy of environmental time cues guide development of the migratory pest moth Loxostege sticticalis

Insects use environmental cycling cues to align developmental progression. In holometabolous insects, the progression from larva to adulthood entails decision points, i.e., larval diapause and adult eclosion, that engage circadian timing mechanisms. What environmental time cues dynamically interact to regulate these developmental checkpoints lying at the intersection of the orthogonal timing systems, remains elusive. We used the seasonally migratory insect Loxostege sticticalis to disentangle the influence of photoperiod regimes and temperature conditions at distinct checkpoints of larval growth and metamorphosis. We here employed sensory conflict paradigms to reveal that the relative dominance of these cues changes over ontogeny. Our results confirm that diapause is induced primarily by the photoperiod during early larval development, rather than by the diel thermoperiod. In contrast, the circadian clock-controlled adult eclosion, normally locked to the first hour of the daybreak, is jointly controlled by light and temperature cycles. An increase in the constant temperature advanced the peak timing of daily eclosion. On the other hand, the interval timing mechanism regulating the duration of the eclosion event is tuned specifically by the night temperatures. Together, photoperiod dominates early developmental decisions, but thermoperiod gains weight at later stages. This shifting hierarchy provides a mechanistic framework for understanding phenological plasticity. Since the timing of eclosion presents a window of increased vulnerability for this pest insect, our results could help to optimize the daily timing of pest management intervention under variable thermal and light conditions.

ecology↗

bioRxiv2025

Human and AI voice identities evoke shared neural signatures during speaker recognition across changes in speech content and prosody

Both biologically-produced human voices and algorithmically-generated AI speech manifest speaker identity. Critically, prosodic variations modulate the acoustic dimensions (e.g., fundamental frequency) that also shape individual speaker identity representations. So far it remains unclear whether listeners process speaker identities in human and AI voices through neurologically equivalent mechanisms, nor how prosodic cues might influence these cognitive processes. We examined event-related potentials during old/new speaker discrimination after name-based identity learning, and further analyzed correctly recognized old speakers comparing trials where prosody matched vs. mismatched between learning and testing. For old/new discrimination, multivariate pattern analysis (MVPA) revealed three significant late windows (662-1498 ms) with Pz as the primary contributor for AI voices, yet none for human voices. Univariate analyses revealed that human voices showed earlier widespread discrimination (N250: 200-280 ms), while both voice types converged on Pz as the strongest contributor based on effect size rankings for late old/new effects (400-800 ms). These old/new effects emerged across completely different speech content between learning and testing, addressing a gap in prior literature. For speaker-specific prosodic expectation effects in the 500-900 ms window, unexpected prosody elicited late positivity for human voices compared to the prosody used during learning, whereas AI voices elicited late negativity. The late positivity resembles P600 components observed for communicative style expectancy violations, while the late negativity likely reflects effortful reprocessing of prosodic violations within atypical synthetic signals, analogous to accented speech processing. Our study advances understanding of voice identity in cognitive neuroscience and offers implications for AI voices in human-computer interaction. [Word count: 250]

neuroscience↗

bioRxiv2025

Speaker Identity is Robustly Encoded in Spatial Patterns of Intracranial EEG for Attention Decoding

The human auditory cortex robustly tracks attended speech, yet it remains unclear if speaker identity is encoded in spatial patterns of neural activity independent of temporal dynamics. Here, we demonstrate that the identity of an attended speaker is reliably reflected in distinct, time-invariant spatial activation maps in human intracranial EEG (iEEG). Leveraging these "neural fingerprints", we developed a novel framework for Auditory Attention Decoding (AAD) that shifts from traditional temporal envelope tracking to spatial speaker identification. By decoupling the decoding of "who" is speaking from "when" they are speaking, our modular system achieves state-of-the-art speech extraction, particularly in short time windows (<2 seconds) where temporal models typically fail. Furthermore, we observed a reciprocal shift in neural activity during attentional switches, confirming that these spatial codes dynamically track listener intent. These findings establish that speaker identity is a robust, spatially distributed feature in the auditory cortex, offering a high-speed, complementary mechanism for neuro-steered hearing technologies.

neuroscience↗

bioRxiv2025

Dual Activation of MC3R and MC4R Drives Weight Loss and Reduces Food Intake in Obese Primates

Introductory ParagraphThe melanocortin system plays a central role in regulating hunger and satiety, making it an attractive target for treating metabolic disease. However, the limited clinical success of selective melanocortin-4 receptor (MC4R) agonists prompted the investigation of whether concurrent melanocortin-3 receptor (MC3R) and MC4R activation is key to unlocking the melanocortin system for the treatment of general obesity. To test this hypothesis, we designed and synthesized novel peptides to probe the distinct and combined roles of MC3R and MC4R in nonhuman primates (NHPs). We show that selectively agonizing MC3R modulates food intake in a state-dependent manner. Moreover, co-agonism of MC3R and MC4R results in more substantial metabolic effects than selective MC4R agonism, highlighting both a non-redundant and a cooperative role of MC3R. To leverage these discoveries, we developed 710GO, an orally-available MC3R/MC4R dual agonist peptide that induces significant weight loss in diet-induced obese (DIO) NHPs. Oral 710GO treatment demonstrates limited weight rebound, has additive effects in combination with GLP-1s, and exhibits a clean safety profile. These results reestablish the melanocortin system, specifically concerted MC3R/MC4R agonism, as a viable mechanism for next-generation obesity therapeutics.

neuroscience↗

bioRxiv2025

Molecular mechanism decipher of Alzheimer's disease based on single-cell RNA-seq information

BackgroundAlzheimers disease (AD) is a most common age-related neurodegenerative disease with no effective treatments, is one of the leading contributions to global disease burden. AD is represented by complicated biological mechanisms and complexity of brain tissues, often manifested histologically by the parenchymal deposition of amyloid-beta (A{beta}) plaques, the formation of neurofibrillary tangles and neuroinflammation. The etiology of AD is likely due to complex interactions among different brain cell types leading to interconnected cellular pathologies. Single-cell RNA sequencing (RNA-seq) technologies enable unbiased characterization of cell types and states, transitions from normal to disease and responses to therapies, providing an effective tool to systematically resolve cellular heterogeneity in AD. MethodsIn this study, to investigate the molecular mechanisms of AD, we collected single cell RNA-seq data of disease and control samples and designed an precise computational analysis pipeline for the dataset. We further proposed a consensus non-negative matrix factorization model to extract disease cellular gene expression programs. ResultsAccording to the computational pipeline, we get the most disease-related sub-clusters, cellular process gene expression programs, and disease-related gene programs. We further investigated the enrichment pathways of disease gene programs. DiscussionThis research might provide a cell type specific gene program targets therapeutic approach to combat the disease. HighlightsO_LIWe designed a consensus non-negative matrix factorization method, which could extract cellular process gene expression programs, and disease-related gene programs. C_LIO_LIWe further investigated the enrichment pathways of the most disease-related sub-clusters. C_LIO_LIWe provide a cellular foundation for a new perspective on AD molecular mechanism that informs personalized therapeutic development, targeting the disease-related gene program. C_LI

bioinformatics↗

bioRxiv2025

Overexpression of TPM4 promotes cancer progression through EMT in anaplastic thyroid cancer

Anaplastic thyroid cancer (ATC) is an undifferentiated tumour originating from thyroid follicular epithelium and represents the most malignant subtype of thyroid cancer. However, the mechanisms underlying ATC development are not fully understood. This study aimed to investigate the mechanisms driving ATC invasion and metastasis to provide novel insights into its aggressive behavior. Through an integrated bioinformatics analysis of the GEO database, we identified Tropomyosin 4 (TPM4) as a differentially expressed gene in ATC. Bioinformatic correlation and pathway enrichment analyses suggested that TPM4 expression is potentially linked to tumor cell invasion and lymph node metastasis. We showed that TPM4 was highly expressed in both ATC tissues and cell lines, and its expression levels were positively correlated with enhanced cell migration and invasion. Mechanistic studies indicated that TPM4 likely enhances tumour cell migration and invasion by facilitating cytoskeletal remodeling and promoting the epithelial-mesenchymal transition (EMT). Our findings suggest that TPM4 represents a promising diagnostic and therapeutic biomarker for ATC.

cancer biology↗

bioRxiv2025

Adaptive surface sensing enables mammalian sperm navigation in complex environments

During transit through the fallopian tube of the female reproductive tract, sperm encounter a structurally complex lattice-like environment characterized by confinement and curvature created by the folded epithelium of the fallopian tube. To replicate these conditions, we examined sperm scattering and migratory behavior in microfabricated obstacle lattices with varying spacing. We found a passive adaptive sensing mechanism that regulates sperm surface interactions in confined and curved environments. Specifically, scattering dynamics, including the collision angle, were impacted as sperm navigated the lattice, and surface interaction times were reduced under more confined conditions. A mathematical model was developed to describe sperm transport in these structured landscapes, predicting up to a nine-fold enhancement of diffusivity compared to free swimming sperm. Hyperactivated sperm displayed similar adaptive behavior within the lattice. We found that sperm dynamically adjust their navigation strategy in response to environmental geometry, allowing efficient migration despite confinement. More broadly, the study highlights how physical structure modulates microswimmer behavior and provides new insight into the physical processes that govern sperm navigation and the mechanisms underlying mammalian fertilization.

biophysics↗

bioRxiv2025

Study on Dianthus superbus L. against Acute Liver Injury via the Gut-Liver Axis -- Regulation of Gut Microbiota and Tryptophan Metabolism to Activate AhR Signaling

BackgroundDianthus superbus L. (DS) treats liver diseases, but its ALI mechanism via gut microbiota/metabolites is unclear. PurposeInvestigate DS effects on CCl-induced ALI and mechanisms. MethodsDS components (HPLC-MS/MS) were identified. ALI rats received DS. Liver/colon injury, fibrosis (biochemistry, histology, IHC, IF, WB for -SMA, Collagen I, Occludin, ZO-1), serum metabolomics, fecal 16S rRNA, and tryptophan-targeted metabolomics were assessed. Antibiotics and FMT from DS-treated donors explored microbiota roles. Results37 components, including Kaempferol and Aurantiamide, were identified. DS attenuated ALI, reducing hepatic -SMA/Collagen I while increasing AhR/Cyp1a1, and upregulating colonic Occludin/ZO-1. FMT replicated DS benefits. Untargeted metabolomics linked effects to Linoleic/Tryptophan metabolism. 16S rRNA showed increased beneficial microbiota (HT002, Lactobacillus, Romboutsia); FMT confirmed Lactobacillus enrichment. DS normalized tryptophan metabolites (4-Hydroxybenzoic acid, L-Kynurenine, Indole-3-carboxaldehyde). ConclusionDS ameliorates ALI gut-microbiota-dependently by modulating tryptophan metabolism, enhancing intestinal barrier function, activating AHR signaling, and suppressing fibrosis biomarkers, indicating its potential as a microbiota modulator for ALI. ImportanceAcute liver injury is a serious health threat with limited treatment options. This study explores how a traditional medicinal herb, Dianthus superbus L. (DS), protects the liver through an unexpected route: the gut. We discovered that DS works by rebalancing the community of gut bacteria, which in turn improves the intestinal barrier and fine-tunes the bodys tryptophan metabolism. This cascade of effects ultimately activates a key cellular pathway (AhR) that reduces liver inflammation and fibrosis. Our findings not only clarify how this traditional remedy works but also highlight the critical role of the gut-liver axis, positioning DS as a promising, microbiota-targeting therapeutic candidate for preventing and treating liver disease.

microbiology↗

bioRxiv2025

APOE4-Aβ synergy drives brain network dysfunction and neuronal lysosomal-ER proteostasis dysregulation in preclinical Alzheimer's disease

Amyloid-{beta} (A{beta}) and APOE4 represent two of the strongest pathological and genetic risk factors for Alzheimers disease (AD), but how these co-pathogens interact during preclinical stages remains undefined. We addressed this question by developing a humanized knock-in model expressing physiological, endogenously regulated human A{beta} and APOE4. Aged AppNLF:APOE4 mice displayed incipient amyloidosis with subtle memory-related changes, consistent with preclinical AD. We found largely distinct, non-overlapping APOE4- and A{beta}-driven functional synaptic, sleep, and behavioral alterations. However, at the transcriptomic level, APOE4xA{beta} had a pronounced detrimental interaction in neuronal populations, whereas glial populations were primarily affected by either genotype. We found APOE4xA{beta} molecular interactions in neuronal populations, including excitatory and inhibitory cells, converged on a core lysosomal-ER proteostasis axis. We propose that APOE4xA{beta} interaction produces an early neuronal pathogenic signature, involving the lysosomal-ER proteostasis axis, preceding functional decline and driving disease progression. APOE4xA{beta}-KI models provide a physiologically relevant platform to study early pathogenesis. HighlightsO_LIEarly synergistic APOE4xA{beta} interaction emerges predominantly at the transcriptomic level in neurons, but not in glial cells. C_LIO_LIAPOE4 and A{beta} drive largely non-overlapping physiological changes in preclinical stages of disease, but converge at the level of network hyperexcitability. C_LIO_LIAPOE4xA{beta} neuronal synergy converges on a conserved lysosomal-ER proteostasis axis. C_LIO_LIHumanized APOE4xA{beta} KI mice provide a physiologically relevant model to dissect early AD pathogenesis in preclinical stages C_LI

neuroscience↗

bioRxiv2025

Benchmarking Real-World Applicability of Molecular Generative Models from De novo Design to Lead Optimization with MolGenBench

Structure-based drug design (SBDD) has been profoundly reshaped by the advent of deep generative models, yet their practical impact on drug discovery remains limited. A central issue is the absence of a rigorous, application-oriented benchmark that mirrors the multi-stage, target-aware workflows of real-world pharmaceutical development. Inspired by recent advances in benchmarking for computer vision and large language models, where systematic evaluation has catalysed rapid progress, we introduce MolGenBench, a comprehensive benchmark designed to close the gap between molecular generation algorithms and tangible drug discovery outcomes. MolGenBench integrates a structurally diverse, large-scale dataset spanning 120 protein targets, 5,433 chemical series comprising 220,005 experimentally confirmed active molecules. Beyond conventional de novo generation, it incorporates a dedicated hit-to-lead (H2L) optimization scenario, which represents a critical phase in hit optimization that is seldom evaluated in existing benchmarks. We further introduce novel, pharmaceutically grounded metrics that assess a models ability to both rediscover target-specific actives or progressively optimize compounds for potency. Through extensive evaluation, MolGenBench uncovers significant gaps between current generative models and the demands of real-world drug development, establishing a foundational resource for building generative models with enhanced practical impact and accelerated translational potential.

bioinformatics↗

bioRxiv2025

Sulcal landmarks reveal lineage-specific trajectories and multi-scale specialization of the mammalian cortex

An important topic of evolutionary neuroscience is to understand how brain function and structure across evolutionary time. In the absence of functional data for ancestral species, studies often rely on structural features such as cortical volume or surface area. However, atlas-based metrics derived from human or a few model organisms lack biological interpretability across species with divergent cortical architectures. Here, we investigate sulcal pits--the locally deepest points of cortical folds--as conserved, atlas-independent landmarks that provide a robust basis for cross-species comparison. Using cortical surface reconstructions from 90 mammalian species, we show that sulcal pit distribution patterns partly recapitulate phylogenetic relationships, independent of overall brain size (volume and surface area), and vary systematically with ecology and lifestyle. By tracing pit-based evolutionary trajectories from 80 million years ago to the present, we found pronounced differences across ecological and behavioral categories, indicating that cortical folding has diversified in close association with species habitats, lifestyles, and social structures. Using sulcal pits, we identified Homo sapiens-specific regions and species-shared regions. The Homo-specific areas were functionally associated with higher cognitive and emotional processes, distinguished by unique histological features, enriched for gene sets related to neural regulation, and exhibited markedly different cell-type abundance profiles compared to shared regions. Together, these results establish sulcal pits as a robust, evolutionarily informative feature for cross-species cortical alignment, offering new insights into the structural innovations underlying brain evolution study.

evolutionary biology↗

bioRxiv2025

A multicenter spatial transcriptomics atlas of human tuberculosis and non-tuberculous mycobacterial disease

Granulomas are the hallmark of mycobacterial (MB) infections, forming structured immune environments that contain bacteria but also drive disease persistence. However, their spatial and functional organization remains unclear. Using spatial RNA sequencing on 38 patient samples, we identified five distinct granuloma niches: a necrotic core, an immune-activated inner niche, an inflammatory and an extracellular matrix (ECM)-remodeling middle niche, an outer structural niche, and a tertiary lymphoid structure niche supporting antigen presentation. Immune activity peaks in the inner niche, transitioning to fibrosis at the periphery. Lymph node granulomas display reduced fibroblast involvement but stronger JAK-STAT activation. Mycobacterium tuberculosis (MTB) granulomas exhibit heightened JAK-STAT and IFN-{gamma} signaling, while non-tuberculous mycobacteria (NTM) granulomas show increased hypoxia signatures. Compared to sarcoidosis, MB granulomas feature a structured adaptive immune response, marked by the clustering of plasma cells. Our findings, accessible via https://lab-li.ciim-hannover.de/mb-granuloma/, define key disease signatures, guiding biomarker discovery and therapeutic targeting in granuloma-related diseases.

bioinformatics↗

bioRxiv2025

Sourdough starter-inspired living materials grown from probiotic consortia with engineered division-of-labor

Genetic circuits enable precise control over cellular behavior. As circuits become more complex, implementing them within a single cell population becomes difficult. Tasks can instead be distributed in engineered consortia. However, selecting appropriate consortia and harnessing the natural traits of each species for such a division of labor remain unsolved challenges. Here, we report the creation of SINERGY, an engineered synthetic sourdough starter in which functional modules are distributed between the two constituent species. These modules, consisting of sensing, communication, and response, enable in vitro biosensing and in vivo drug delivery and modulate the gut ecosystem in an animal disease model. SINERGY not only preserves the safety and health-promoting properties of the natural components but also endows microbes with programmable functionalities, facilitating broad applications in biomedicine.

synthetic biology↗

bioRxiv2025

Optimization of velocity receptor transduction in CAR T cells

Limited infiltration capacity significantly limits the effectiveness of chimeric antigen receptor (CAR) T cells for solid tumors. We have recently developed a large family of highly modular synthetic cytokine receptors termed velocity receptors (VRs), capable of binding key inflammatory cytokines, such as IL5, IL8, and TNF, which drive CAR T cells into an elevated motility state. These new CAR T cells sense and amplify these autocrine secreted cytokines, thereby maintaining a self-propelled, high migratory state, facilitating penetration into dense tumor cores. In this study, we systematically evaluated key factors influencing VR transduction in order to improve their stable integration and expression. We established a dual-fluorescence reporter system to allow simultaneous monitoring of both VR and CAR constructs, and while evaluating modifications to the vector construct and generating standardized infectious unit (IFU) curves under various conditions. Our results demonstrate that the attempt to reduce overall vector size by eliminating non coding sections upstream of the central polypurine tract (cPPT) do not yield better transduction efficiency, though it is unclear if the effect is due to viral production or integration impairment. We also observed a log-linear relationship between viral dose and transduction efficiency for a subset of VRs previously tested in various mouse models of human cancer, with VR5IL8 and VR5TNF VRs consistently outperforming VR5IL5 and V5 (full length native IL5 receptor). Overall, these findings establish an optimized and reproducible framework that offers valuable guidance for the future development and functional study of VR-CAR T cells in cellular therapies for solid tumors.

bioengineering↗

bioRxiv2025

A Covalent PFKL Activator Suppresses Tumor Growth

Glycolysis fuels vital cellular functions and its dysregulation is implicated in cancer, neurodegeneration, antibiotic resistance and diabetes. The glycolytic dependency of cancer, known as the Warburg effect, presents a key vulnerability for developing targeted anticancer agents but remains challenging due to metabolic heterogeneity and resistance. Here, we developed a first-in-class covalent phosphofructokinase-1 liver type (PFKL) activator that induces metabolic imbalance coupled to delivery of a cytotoxic payload to cancer cells in vitro and in vivo. The electrophile-drug conjugate (EDC) site-specifically and proteome-wide selectively modifies K677 in the allosteric effector site to stabilize the R-state tetramer of PFKL and destabilize cell metabolism. We introduce EDCs as a new delivery mechanism analogous to antibody-drug conjugates but differentiated by selective covalent targeting of intracellular proteins.

biochemistry↗