Biology subjects

Chen, B.

Publications and source records attributed to Chen, B..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Cognitive function depends upon Satb2 gene dosage in cortical projection neurons

SATB2-associated syndrome (SAS) is a severe neurodevelopmental disorder caused by de novo heterozygous SATB2 mutations, yet how haploinsufficiency disrupts brain development remains poorly understood. While homozygous Satb2 loss causes profound embryonic cell-fate defects, we demonstrate using a heterozygous mouse model that SAS phenotypes emerge primarily during postnatal circuit maturation. Integrating chromatin profiling, transcriptomics, electrophysiology, and behavior, we show that SATB2 acts as a dose-sensitive chromatin regulator that binds conserved enhancer-promoter landscapes to orchestrate networks linked to human intelligence. Although excitatory neuron subtype specification is preserved, Satb2 heterozygotes adopt an intermediate epigenetic state that drives cell-type-specific dysregulation of genes enriched for intellectual disability risk variants. Consequently, mutant neurons exhibit simplified dendritic arborization, reduced intrinsic excitability, and weakened layer 2/3-to-layer 5 intracortical connectivity. These circuit deficits culminate in the disorganization of the somatosensory barrel cortex and severe impairments in whisker-dependent texture discrimination. Finally, by restricting Satb2 heterozygosity to the cortex, we decouple these cortical sensory deficits from subcortical vocalization phenotypes. Together, our work links SATB2 dosage to chromatin architecture and postnatal circuit maturation, revealing a critical, post-mitotic therapeutic window for intervention in SAS.

neuroscience↗

bioRxiv2026

Syntrophic microbiomes associated with methane-suppressive irrigation in rice

Rice, a staple crop of nearly half of the world population, is grown predominantly in flooded paddies which are one of the largest contributors to methane emissions. An effective approach is to minimise the anaerobic flooded conditions that favour the growth of methanogenic archaea. Empirical measurements showed that controlled irrigation regime reduces methane emissions by 70% to 90%. The soil microbiomes of both flood and drip irrigated soil were characterised using whole-genome shotgun metagenomics. Controlled irrigation was shown to suppress methanogens and lower methane emissions. While emissions are correlated with mcrA gene abundance, empty flooded fields exhibited relatively high mcrA levels above baseline despite undetectable methane emissions. Rice cultivar genotype had no significant effect on the soil microbiomes. Co-occurrence network analysis indicates that soil microbial communities stratify according to their oxygen preferences along a gradient. Methanogens were increased in flooded paddies, and methane production attributed to the microorganisms involved in the anaerobic decay of organic matter. Controlled irrigation altered the microbiome by raising the soil redox potential by enhancing aeration and promoting ammonia oxidation and nitrification pathways. IMPORTANCEThe temporal dynamics of microbial communities in drip-irrigated rice fields remain poorly characterized to-date. Empirical measurements demonstrate that controlled drip irrigation effectively suppresses methanogens and lowers methane emissions by up to 90%. Statistical analysis further revealed a moderate correlation between methane emissions and the mcrA gene with R = 0.6 and p-value = 2.9e-05. The correlation plot showed that the outliers corresponded to samples from empty flooded fields, where high mcrA gene abundance was observed despite low methane emissions. Methane produced in the soil is likely released into the atmosphere via transport through the aerenchyma of rice plants. Controlled irrigation is shown to be climate friendly as it reduces methane emissions by improving soil aeration and increasing the soil redox potential.

microbiology↗

bioRxiv2026

MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening

HLA-E presented cancer peptides can be promising cancer therapy targets, as HLA-E is minimally polymorphic and widely expressed across human populations and cancer types. However, systematic discovery of cancer associated HLA-E peptides has been constrained by sparse training data and the technical difficulty of HLA-E immunopeptidomics. Here we develop an integrated HLA-E antigen discovery platform combining a deep learning prediction model, pooled mammalian cell screening, peptide-HLA-E stability validation, and mass spectrometry. We introduce MHC Attention, a neural network that learns allele-level attention over candidate MHC alleles in multi-allele immunopeptidomics datasets, enabling direct training on patient-derived MHC peptide data. Screening an approximately 6,000-peptide HLA-E library identified stable HLA-E-presented peptides and generated HLA-E-specific training data that improved prediction performance of MHC Attention. Combining our screening assays and improved prediction algorithm, we discovered novel HLA-E-presented cancer peptides, including candidates derived from ETV4, WT1, RNF43 and BMP8A, with orthogonal support from stability assays or immunopeptidomics. These results establish a scalable framework for HLA-E peptide target discovery and provide candidate targets for broadly applicable peptide-HLA-directed cancer immunotherapies. MHC Attention 2.0 can be accessed online via https://vcreate.io/mhcattention.

immunology↗

bioRxiv2026

Tumor-derived FXII engages the intrinsic coagulation cascade to support breast cancer liver metastasis.

Metastasis is the leading cause of death in breast cancer, yet the mechanisms controlling organotropism are not well defined. Coagulation has emerged as a biologically relevant contributor to metastatic progression, but mechanisms linking pro-thrombotic phenotypes to organ-specific metastasis remain unresolved, significantly hindering the development of novel treatments. Here, a serial transplantation approach was used to enrich for liver organotropism from a spontaneous mouse mammary tumor model with occasional liver and lymph node metastasis. Comparative transcriptomics between the enriched liver and lymph node metastases revealed strong upregulation of coagulation in liver metastases, due in part to loss of repression of FXII with knockout of the E2F5 transcription factor. In vitro clotting assays demonstrated that tumor-derived FXII was sufficient to induce fibrin(ogen) clot formation. Moreover, liver metastatic cells exhibit elevated lipid peroxide levels and impaired lipid droplet formation associated with a pro-coagulant phenotype. Inhibition of coagulation with low molecular weight heparin reduced the presence of circulating tumor cells and suppressed liver metastasis in the mouse model. Human electronic health record data supported the translational relevance of these findings. Together, these data reveal a new mouse model where loss of E2F5 has resulted in tumors with elevated expression of FXII that have a propensity for liver metastasis and illustrates that anti-coagulation dramatically reduces the liver-specific metastasis in breast cancer. HighlightsE2F5 conditional knockout model develops breast tumors with liver tropism Liver metastasis hijacks the intrinsic coagulation cascade mediated by tumor-derived FXII Liver metastatic cells displayed lipid metabolic alterations that contributed to a pro-coagulant phenotype Low molecular weight heparin blocks liver metastasis and significantly reduces circulating tumor cells

cancer biology↗

bioRxiv2026

Large-scale volumetric two-photon calcium imaging enables cellular-resolution mesoscopic mapping of marmoset cortical areas

Primate neocortex is organized into functionally defined domains. Understanding how the functional organization within each domain emerges from single-cell tuning properties has been hampered by the lack of imaging tools that can capture large-scale activity at different depths of the scattering primate brain at cellular resolution and physiological timescales. Here, we demonstrate mesoscopic and volumetric cellular-resolution calcium imaging of entire cortical areas in the marmoset brain at multi-Hertz rates by combining fluorescence lifetime-limited temporally multiplexed two-photon recording based on Light Beads Microscopy (LBM) with optimized calcium indicator targeting. Using this approach, we perform volumetric recording of neuronal population activity within cortical volumes spanning up to 4 x 4 x 0.3 mm3 capturing the simultaneous activity of over 96,000 cells, including more than 46,000 stimulus-responsive neurons. In auditory cortex, we found fine-grain heterogeneous tuning of individual neurons to frequencies within broader tonotopic gradients. In the middle temporal area (MT) we found direction tuning along functional continua rather than discrete categories, encompassing uni-, bi-, and pandirectional tuning, where cells with similar tuning tend to cluster. Tuning direction follows a columnar organization with a lateral periodicity of [~]500 {micro}m and low variability across depth. Columns are organized by a pinwheel structure. Noise correlations between cells, revealing functional interactions, decay isotropically and monotonically with distance but remain significant even at lateral distances exceeding 3 mm and thus the scale of multiple columns. Together, these discoveries reveal the need for neurotechnologies bridging scales from single cells to multi-columnar systems. The technological advancements open the door for future large-scale, cellular-resolution investigations of functional organization and population dynamics across entire cortical areas in the primate brain.

neuroscience↗

bioRxiv2026

Mapping Tumor-Microenvironment dependencies with TMEformer: A spatial foundation framework enabling in silico perturbation

Despite the fundamental role of spatial context in driving tumor progression, most current computational models for virtual perturbation have largely overlooked its importance. Here, we introduce TMEformer, a tumor microenvironment-aware deep learning framework that leverages high-resolution spatial transcriptomics to jointly model intrinsic tumor cell programs and local microenvironmental signals by explicitly incorporating spatial architecture. Validated across diverse tumor spatial transcriptomic cohorts, TMEformer enables virtual perturbations that capture functional dependencies within local cellular ecosystems. Despite being trained on cancer-specific spatial datasets, TMEformer outperforms baseline models pretrained on large-scale corpora in capturing key tumor transitions, including lineage plasticity and the emergence of therapy resistance. Systematic perturbation analyses prioritize tumor-intrinsic transcription factors and TME-derived ligands that drive disease progression, recovering established regulators and revealing novel candidates. Furthermore, TME- derived embeddings improve the spatial stratification of tumor cells and align more closely with pathological architecture. Together, TMEformer establishes a general framework for modeling tumors as spatially coupled, perturbable ecosystems. An online TMEformer web platform for perturbation prediction, analysis, and visualization is available at http://www.pradcellatlas.com.

bioinformatics↗

bioRxiv2026

Altair-dvOPM: an open-access platform for large-field three-dimensional tissue imaging

Altair-dvOPM is an open-access direct-view oblique plane microscope designed for large-field, three-dimensional imaging of cleared and expanded tissue sections. By combining photographic-lens-based detection, externally launched oblique illumination and precision-registered modular baseplates, the system achieves micrometer-scale lateral resolution over a ~5.4 mm field of view without custom objectives or highly specialized alignment procedures. We demonstrate imaging across scales, from subcellular structures in expanded cells to centimeter-scale expanded tissue sections, and provide documentation, CAD files, Zemax models and open-source control software to support replication and extension.

biophysics↗

bioRxiv2026

Booster vaccination improves the durability of antibody-secreting plasma cells

Booster vaccination can restore antibody titres and protection, but whether it improves long-term durability by expanding plasma cell (PC) numbers or also by shifting PC fate toward intrinsically longer-lived states remains unclear. Here we established longitudinal in vivo ground truth for PC persistence by combining PC-specific genetic timestamping, clonal tracking, and multi-timepoint single-cell profiling across spleen and bone marrow. We resolved PC longevity as a layered, non-binary architecture comprising short-, intermediate-, and long-lived programs, and showed that program identity is specified early in secondary lymphoid tissues and largely maintained as PCs populate bone marrow niches. Primary vaccine responses initiated from naive B-cells generated a prominent intermediate-lived wave, whereas memory B-cell recall during boosting redistributed output toward long-lived programs rather than recreating the intermediate-lived compartment characteristic of priming. Conserved longevity signatures projected onto early circulating PCs provide a cross-species framework to infer durability programs, supporting benchmarking of vaccine regimens by predicted persistence rather than peak titres. HighlightsO_LIGenetic timestamping resolves short-, intermediate-, and long-lived PC programs C_LIO_LILongevity programs are imprinted early and maintained from lymphoid organs to bone marrow C_LIO_LICross-species signatures stratify human blood and bone marrow PCs by persistence C_LIO_LIBoosting via MBC recall enriches long-lived PC and contracts the intermediate-lived tier C_LI

immunology↗

bioRxiv2026

A cinnamyl alcohol dehydrogenase scaffold organizes monoterpenoid indole alkaloid biosynthesis

Biosynthesis of ~3,000 monoterpenoid indole alkaloids (MIAs), including the anticancer drug vinblastine, involves the highly unstable intermediate strictosidine aglycone. Its formation by strictosidine {beta}-glucosidase (SGD) and subsequent conversion by geissoschizine synthase (GS) occur in spatially separated compartments, representing a major biosynthesis bottleneck. Here we discover VinBLAST, a cinnamyl alcohol dehydrogenase-like protein repurposed as a scaffold for efficient processing of this labile intermediate. VinBLAST physically mediates SGD and GS interaction in the nucleus and allosterically enhances GS catalytic efficiency. VinBLAST homologues from diverse plant families enhance biosynthesis of several representative MIAs, with the production of catharanthine increased to ~160 mg L-1 in yeast, nearly 1,000-fold higher than previous studies. Our discovery provides a missing link in organizing MIA biosynthesis and enables scalable bioproduction of geissoschizine-derived therapeutics.

synthetic biology↗

bioRxiv2026

Modulation of Oncogenic KRAS Signaling by Branched Actin-driven Cell Membrane Protrusions

For over three decades, we have known that oncogenic RAS alters the actin cytoskeleton organization and cell surface morphology1,2. RAS activates the GTPase RAC1, which triggers the growth of branched actin networks to promote cell membrane protrusions3,4. In melanoma, the hyperactive RAC1 mutant, Rac1P29S, was recently shown to drive extended lamellipodia, which then empower cell proliferation through sequestration and localized inhibition of the merlin tumor suppressor5. This discovery illustrates cell morphological programs not only as outputs but also as regulators of human oncogenic signals. Hence, we wondered whether the pronounced branched actin-driven membrane protrusions (BAMPs) downstream of oncogenic RAS are not mere outputs of RAS signaling but rather an active component in mediating the oncogenic penetrance of RAS mutants. We used volumetric light sheet microscopy and biochemical approaches to investigate the role of BAMPs in regulating the molecular signaling of oncogenic KRAS in pancreatic and lung cancer models. We found that elevated BAMP formation regulated the interaction of oncogenic KRAS with downstream effectors, specifically with the RAC1 GEF TIAM1. This implies that BAMPs amplify their own upstream regulators in a positive feedback. This meritorious cycle upregulates cyclin D1 expression by inactivating the merlin tumor suppressor, independently of the mitogen activated protein kinase pathway (MAPK). In the absence of BAMPs, cells carrying oncogenic KRAS mutations are unable to attain their full penetrance in proliferation. Overall, this work unveils the long-overlooked role of branched actin-driven cell morphology in the functionalization of KRAS mutants as potent oncogenes.

cancer biology↗

bioRxiv2026

GPLD1 Regulates the Shedding of IZUMO1R to Block Polyspermy in Porcine Oocyte

Mammalian fertilization commences with the essential interaction between sperm IZUMO1 and its oocyte-surface receptor, JUNO. Following gamete fusion, JUNO is rapidly shed from the oocyte to establish a definitive membrane block to polyspermy, a pathological condition that remains a major hurdle in porcine in vitro fertilization (IVF). Despite its biological importance, the molecular networks driving JUNO cleavage has remained elusive. Here, by integrating proteomics, dual-color live-cell imaging, and functional perturbations, we identify the extended existence of JUNO and the GPI-specific phospholipase D1 (GPLD1) as the requisite enzyme mediating JUNO shedding in porcine oocytes. Targeted knockdown or pharmacological inhibition of GPLD1 stabilizes oocyte JUNO, prolongs the window of oocyte receptivity, and significantly exacerbates polyspermy, ultimately compromising embryonic developmental competence. Conversely, GPLD1 overexpression restricts redundant sperm adherence and enhances the efficiency of monospermic zygote formation and blastocyst development. Live-cell imaging reveals that fertilization triggers a transient, pulsed recruitment of GPLD1 in the oocyte, which precisely coincides with the biphasic kinetics of JUNO depletion. Our findings establish that the enzymatic cleavage of the GPI-anchor by GPLD1 is critical for JUNO release, defining a fundamental mechanism for the membrane-level block to polyspermy. This work provides a molecular framework for ensuring sperm-oocyte recognition and improving in vitro fertilization outcomes in mammals.

developmental biology↗

bioRxiv2026

IMMREP25: Unseen Peptides

T cell receptors (TCRs) can bind to peptides presented by MHC molecules (pMHC) as a first step to trigger a T cell response. Reliable approaches to predict TCR:pMHC binding would have broad applications in clinical diagnostics, therapeutics, and the fundamental understanding of molecular interactions. IMMREP is a community organized series of prediction contests that asks participants to predict TCR:pMHC binding on unpublished datasets. Previous iterations in 2022 and 2023 showed multiple approaches can predict TCR-pMHC binding with significant accuracy (median AUC_0.1[≥]0.7) for peptides where experimental data is available ("seen" peptides). In contrast, models did not outperform random guessing for peptides that have no such data available ("unseen" peptides). Here we report on the results of IMMREP25, which focused solely on unseen peptides in order to evaluate the cutting edge of the field. We received 126 named submissions predicting the specificity of 1,000 TCRs against twenty unseen peptides restricted by one of two MHC molecules (HLA-A*02:01 and HLA-B*40:01). The best performing methods showed a macro-AUC_0.1 of 0.60, significantly better than random, demonstrating significant advances in the field. The top performing methods incorporated structural modeling into their approach, indicating that especially for unseen peptides, a structural understanding aids in the prediction of TCR:pMHC interactions. The results from this benchmark highlight the significant challenges remaining for TCR:pMHC predictions and will inform future method development.

bioinformatics↗

bioRxiv2026

Adrβ2 in skeletal muscle cells is required for exercise-induced Pgc1α but not for metabolic benefits of exercise on diet-induced obesity

{beta}2-Adrenergic receptor (Adr{beta}2) is the most abundant form of adrenergic receptors in skeletal muscle. Our previous studies have shown that the ventromedial hypothalamic nucleus (VMH) regulates metabolic benefits of exercise, potentially by skeletal muscle Adr{beta}2. Although a large body of literature has shown the importance of Adr{beta}2 on skeletal muscle physiology, it remains unexplored whether skeletal muscle Adr{beta}2 contributes to metabolic benefits of exercise, such as prevention of diet-induced obesity (DIO). Here, we generated mice lacking Adr{beta}2 in skeletal muscle cells (SKMAdr{beta}2) and tested whether SKMAdr{beta}2 is required for metabolic benefits of exercise on DIO. Deletion of SKMAdr{beta}2 completely abolished the induction of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (Pgc-1) in skeletal muscle by {beta}2-agonist, which is a potent activator of Pgc-1. Exercise upregulates Pgc-1, which regulates a broad range of skeletal muscle physiology, including hypertrophy and mitochondrial function. Deletion of SKMAdr{beta}2 hampers augmented Pgc-1 in skeletal muscle by a single bout of exercise. Intriguingly, we found that deletion of SKMAdr{beta}2 increased endurance capacity. Further, our data showed that body weight in DIO mice lacking SKMAdr{beta}2 is comparable to that of control DIO mice during exercise training, suggesting that deletion of SKMAdr{beta}2 did not affect the metabolic benefits of exercise in DIO. Collectively, our data indicate that SKMAdr{beta}2 contributes to exercise-induced transcriptional changes and endurance capacity, however, it is not required for exercise benefits on bodyweight in DIO mice.

physiology↗

bioRxiv2026

Multicopper oxidase mediated single-carbon insertion for skeletal remodeling

Modern drug discovery demands efficient strategies for generating structurally diverse compound libraries. Skeletal editing--a transformative paradigm enabling precise atom-level modifications within molecular frameworks, offers a sustainable alternative to traditional synthetic routes. While carbene insertion-mediated approaches have dominated single-carbon insertion strategies, current methodologies are limited by their reliance on hazardous, unstable carbene precursors and harsh reaction conditions. Herein, we report a multicopper oxidase (MCO)-catalyzed skeletal editing that enables the direct, one-step transformation of phenolic and indole derivatives into functionalized tropones and quinoline analogues through exogenous single-carbon insertion. This platform employs stable and safe nitroalkanes as carbon sources and O2 as the sole terminal oxidant. It accommodates a broad substrate scope and yields products with superior antibacterial activity against to multidrug-resistant strains relative to their parent compounds. This work introduces the first biocatalytic platform for exogenous single-carbon insertion skeletal editing. This sustainable and scalable strategy overcomes key limitations of synthetic approaches, offering efficient skeletal remolding and rapid expansion of bioactive compound libraries. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/714988v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@1f1d09borg.highwire.dtl.DTLVardef@b67c65org.highwire.dtl.DTLVardef@a0cd4dorg.highwire.dtl.DTLVardef@106afe5_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

The Richness of Experience: Agent-Based Learning Reveals theMechanisms of Early Language Acquisition

A longstanding challenge in developmental science is to understand how children learn language from naturalistic everyday input. To study this process, we leveraged the First 1,000 Days (1kD) dataset, which provides longitudinal, ultra-dense daily audiovisual recordings for individual children in their home environments. This unusually detailed, child-specific record of early experience enabled us to pair each childs rich language input with a cognitively grounded learning agent, linking naturalistic experience ("nurture") to internal learning mechanisms ("nature"). Trained incrementally on each childs input without prior linguistic knowledge, the learning agent discovered speech units corresponding to the English phoneme inventory and acquired thousands of words, closely mirroring individual developmental trajectories. Learning generalized across children while preserving individual differences in rate and timing. Interestingly, learning relied not only on linguistic input but also on the rehearsal of past experiences at the end of each training day. These findings demonstrate that everyday environments provide sufficient structure for language acquisition and establish a unified mechanistic framework for studying development in real-world contexts.

neuroscience↗

bioRxiv2026

The First 1,000 Days (1kD) Project - Collecting and Analyzing an Ultra-Dense Naturalistic Dataset of Human Baby Development

Human development unfolds in continuous, multimodal environments across seconds, days, and years, yet most developmental datasets capture sparse, context-limited samples of everyday life. We introduce the First 1,000 Days (1kD) Project, an initiative designed to collect ultra-dense, longitudinal, child-centered data that capture developmental trajectories within their full ecological context. Fifteen U.S. homes with 17 infants were recorded 12-14 hours per day over a median of 944 days, yielding [~]1.18 million hours of raw audiovisual data. We present an end-to-end framework for large-scale longitudinal naturalistic measurement and a scalable analysis pipeline of the collected data. In a case study, we describe how we utilized our pipeline to isolate child-centered speech, resulting in the collection of 2,000 to 6,000 hours of transcribed speech for each infant. We demonstrate that dense sampling within the home environment reveals a stable, household-specific lexical structure, which sparse sampling methods consistently fail to capture. The 1kD project offers a blueprint for teams aiming to collect and analyze natural behavior at scale in real-world settings.

neuroscience↗

bioRxiv2026

Gq-pathway activation in hippocampal CA1 astrocytes rescues ischemia-induced memory deficits and synaptic plasticity

More than 30% of stroke survivors develop post-stroke cognitive impairment (PSCI), for which current neuron-centric therapies not only lack cellular specificity but also carry risks of adverse effects such as epilepsy. Here, we explore the therapeutic potential of astrocytes by chemogenetically activating Gq signaling in hippocampal astrocytes, which rescues memory deficits and synaptic plasticity impairments in a mouse model of ischemic stroke. Gq activation restores dendritic complexity, spine density, and long-term potentiation in hippocampal CA1 neurons. Fiber photometry further reveals that astrocytic Ca{superscript 2} signals precede neuronal activity by 600 ms during novel environment exploration, indicating that astrocytes prime memory encoding. In contrast, Gi pathway activation induces pathological neuronal hyperactivity without cognitive improvement. These findings establish that astrocytes regulate post-stroke recovery through pathway-specific calcium signaling and uncover a previously unknown temporal hierarchy in astrocyte-neuron communication during memory processing, offering a new glia-targeted strategy to overcome the limitations of current neuromodulation approaches for PSCI.

neuroscience↗

bioRxiv2026

Indazolone-Based Molecular Glue Degraders as a Tunable Platform for Reprogramming Cereblon Substrate Specificity

Molecular glue degraders (MGDs) represent a transformative modality in drug discovery, with the cereblon (CRBN)-MGD axis offering a strategic gateway to systematically address the historically undruggable proteome. However, the limited chemical diversity of existing CRBN-mediated MGDs has constrained the full exploration of the degradable landscape. Here, we introduce an innovative indazolone-based platform that extends beyond canonical isoindolinone-glutarimide scaffolds, significantly expanding the accessible chemical space for CRBN modulation. Guided by mechanistic insights into CRBN-MGD complex conformational plasticity, we rationally designed indazolone architectures as novel CRBN ligands, developing diverse MGDs with potent ligase binding and exceptional substrate programmability. This platform enables fine-tuned control over neo-substrate recognition, supporting diverse degradation profiles ranging from the broad targeting of critical proteins (IKZF1/3, ZFP91, and LIMD1) to the exquisitely selective degradation of CK1 and IKZF2. Beyond expanding the chemical landscape for intractable targets, our indazolone-based MGDs exhibit favorable pharmacokinetic properties, offering robust promise for therapeutic development. Collectively, the remarkable tunability and exceptional neo-substrate programmability of the indazolone-based platform provide a highly transformative blueprint for next-generation MGD discovery, enabling systematic exploration of the vast CRBN-accessible proteome. Furthermore, as superior CRBN ligands, this platform holds immense potential for PROTAC discovery to systematically address previously intractable targets.

biochemistry↗