Biology subjects

Xu, X.

Publications and source records attributed to Xu, X..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

A confined gene drive for population modification in the malaria vector Anopheles stephensi

Gene drives are genetic elements that bias their own inheritance to spread desired traits in target populations, enabling population modification or suppression. Although homing-based drives can propagate efficiently, their potential for uncontrolled spread may present a challenge for field deployment. Thus, confined drive systems are needed. Here, we developed a confined modification drive, called Toxin-Antidote Recessive Embryo (TARE) drive, in the globally important malaria vector Anopheles stephensi. This drive works by cleaving and disrupting wild-type alleles in the germline or early embryo from maternally deposited Cas9. Disrupted alleles are recessive lethal, thus increasing the drive in a frequency-dependent manner. Inheritance bias was moderate in crosses between drive heterozygote mosquitoes, possibly due to low gRNA activity and thus moderate germline cleavage rates. Single-release cage trials confirmed the TARE drives ability to spread, although the drive ultimately declined due to fitness costs and resistance alleles associated with repetitive elements. Nonetheless our modelling analysis indicate that this TARE system could achieve population spread if the resistance issue is addressed. These findings demonstrate a functional prototype TARE drive in Anopheles stephensi and highlight key parameters governing its performance. Minor design optimizations could substantially improve efficiency and integrity, enabling rapid but confined population modification.

genetics↗

bioRxiv2026

Chromosomal rearrangements 1 and sequence similarity drivepreferential allosyndetic introgression from a wild relative into wheat

Recombination in polyploid genomes is generally constrained to homologous or homoeologous chromosomes; however, how chromosomal rearrangements influence recombination between chromosomes remains unclear. Here, we demonstrate that large-scale chromosomal rearrangements in the wild relatives of wheat are associated with recombination involving non-homoeologous chromosomes or arms during alien gene introgression under conditions that permit homoeologous recombination mediated by ph1b. Using a wheat chromosome 6A monosomic-induced 6AS*6CL Robertsonian translocation combined with ph1b-mediated recombination, we generated 17 independent recombinants carrying a new stem rust resistance gene, Sr69, from Aegilops caudata chromosome arm 6CL. Unexpectedly, 94.1% (16 of 17) of recombinants resulted from exchanges with wheat group-7 chromosomes rather than with the homoeologous group-6 chromosome. Comparative sequence- and marker-based analyses identified a 67-Mb rearranged interval on Ae. caudata 6CL that corresponds to telomeric regions of the long arms of wheat group-7 chromosomes. Sequence similarity within this interval was quantitatively associated with recombination frequency, with higher similarity corresponding to more frequent translocations. Physical and optical mapping showed that recombination within the rearranged interval generated compensating 7A/6C, 7B/6C, and 7D/6C translocations, whereas recombination outside this region produced non-compensating 6A/6C exchanges. An independent case involving the powdery mildew resistance gene Pm7C showed a similar correspondence between a rearranged 7CL region and preferential introgression into wheat 7DS. Together, these results indicate that ph1b-mediated recombination involving structurally altered chromosomes is driven by local chromosomal structure and sequence similarity rather than strict homoeologous group identity. This provides a mechanistic basis for harnessing untapped beneficial genes from structurally rearranged alien genomes. Significance StatementAlien gene introgression is a powerful strategy for wheat improvement, typically relying on ph1b-mediated recombination between homoeologous chromosomes. The genomic basis and outcomes of introgression from structurally rearranged alien chromosomes remain unclear. Here, we show that ph1b-induced recombination can efficiently target wheat-allosyntenic blocks in rearranged alien genomes, preferentially transferring genes from structurally altered alien segments into their syntenic regions on wheat chromosomes of different homoeologous groups. Crossover formation is governed by extended sequence similarity within corresponding intervals rather than strict collinearity across entire homoeologous chromosomes. As many wild species exhibit extensive genome rearrangement, these findings and methodologies expand access to underexploited genetic diversity embedded within highly rearranged wild genomes for wheat improvement.

genetics↗

bioRxiv2026

Novel Engineered AAV Variants Demonstrate Superior Blood-Brain Barrier Penetration and Safety in Non-Human Primates

Systemic delivery of adeno-associated virus (AAV) for gene therapy of central nervous system (CNS) disorders is limited by inefficient blood-brain barrier (BBB) penetration and dose-limiting toxicity in peripheral organs, notably the liver and dorsal root ganglia (DRG)1-5. Here, we report the development of novel AAV variants via a proprietary capsid engineering platform (REACH). In non-human primates (NHPs), intravenous administration of lead variants resulted in transgene expression levels in the brain that were 600-2000 fold higher than AAV9 at the RNA level, concomitant with a 10-50 fold reduction in liver tropism and minimal off-target exposure in the heart and DRG. These engineered capsids achieve unprecedented, pan-CNS transduction with a markedly improved safety profile, representing a transformative platform for treating a broad spectrum of neurological diseases.

neuroscience↗

bioRxiv2026

A Non-Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

Lung squamous cell carcinoma (LUSC) lacks clearly defined key drivers and effective targeted therapies, reflecting an incomplete understanding of its molecular pathogenesis. Here, we identify SMAD4 as a critical regulator of three-dimensional (3D) genome organization in LUSC and uncover a mechanistic link between tumor suppressor loss and oncogenic transcriptional activation. By integrating clinical datasets, genetically engineered mouse models, human and murine LUSC cell lines, and multi-omics analyses, we demonstrate that SMAD4 deficiency promotes LUSC progression by unleashing EP300-mediated enhancer-promoter looping at the SOX2 locus. Mechanistically, SMAD4 does not directly bind SOX2 regulatory elements but instead constrains chromatin looping by sequestering EP300 away from loop anchor regions. Loss of SMAD4 leads to enhanced H3K27ac deposition, aberrant SOX2 activation, and increased LUSC tumor cell proliferation. Together, these findings reveal a non-canonical role for a transcription factor (e.g., SMAD4) in regulating dysregulated 3D genome architecture to inhibit tumor development.

cancer biology↗

bioRxiv2026

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

The evolutionary trajectory of lung squamous cell carcinoma (LUSC) remains poorly defined, hindering the development of effective therapies. By integrating genomic and transcriptomic sequencing from human LUSC specimens, we delineated a polyclonal-to-monoclonal evolutionary trajectory during LUSC progression. This evolutionary pattern was corroborated by single-cell RNA sequencing, which revealed consistent tumor cell heterogeneity. Specifically, the SBS5 mutational signature was enriched and correlated with poor prognosis independent of tumor stage. By further utilizing the spontaneous LUSC mouse model to identify key genomic and genetic events in LUSC progression, we observed that the JNK pathway was inhibited and that cytoskeleton-related pathways were dysregulated during LUSC development, and identified the mutations in the JNK pathway (e.g., DACT1) and cytoskeletal regulators (e.g., KIF26A). Collectively, these findings established a polyclonal-monoclonal evolution paradigm for LUSC, potentially regulated by JNK pathways, which could benefit LUSC precision therapeutics.

genomics↗

bioRxiv2026

Topographic CA1 input shapes subicular spatial coding

Precise anatomical topographic mapping in the brain supports high-fidelity information transfer for computations such as sensory alignment and motor coordination1,2. As a brain structure central to learning, memory, and navigation, the hippocampal formation is likewise organized with striking topographic precision3-8. Within this circuit, the subiculum plays a critical role in forming the cognitive map by integrating spatial and non-spatial information from both CA1 and the entorhinal cortex (EC)9-17. Inputs from these regions follow a continuous topography such that distal subiculum receives projections from proximal CA1 (pCA1) and medial EC (MEC), whereas proximal subiculum receives projections from distal CA1 (dCA1) and lateral EC (LEC)3-5,7,8. This anatomical architecture suggests that subicular computations may depend critically on the fidelity of these circuit topographies. However, because CA1 and EC provide partially overlapping spatial information, it remains unclear to what extent CA1-to-subiculum topography, independent of ECs contribution, shapes the physiological properties of subicular neurons. Here, by selectively disrupting CA1-to-subiculum topographic projections in latrophilin-2 conditional knockout mice, we show that precise topography shapes the anatomical distribution of subicular spatial coding while preserving single-cell tuning. Disrupted CA1 input topography also selectively impairs subicular boundary vector coding and long-term network stability. Thus, CA1 input topography is critical for organizing subicular spatial coding and network dynamics. HighlightsO_LICA1[->]subiculum topography organizes spatial coding distribution in the subiculum. C_LIO_LIDisrupted CA1 input topography spares individual subicular place cell tuning. C_LIO_LIDisrupted CA1 input topography selectively impairs subicular boundary vector coding. C_LIO_LILong-term subicular ensemble reactivation requires precise CA1 input topography. C_LI

neuroscience↗

bioRxiv2026

Complete genome-derived metabolic interactions reveal impact of gut ecology on human health

Metabolic interactions govern gut microbiome assembly, yet functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft genomes introduce systemic artifacts missing critical transport functions. We observe that metabolic interactions are intrinsically driven by genomic traits and niche specialization rather than random association. We stratifies strains into four ecological groups, including active players, resource predators, utilizers, and contributors, each of which exhibits distinct metabolite exchange/competition signatures. This functional architecture is strongly coupled to secondary metabolism. Applying this framework to inflammatory bowel disease revealed distinct temporal dynamics of ecological groups across disease subtypes, where group-specific dysbiosis predicted clinical phenotypes better than whole community profiles. Furthermore, integrating metabolic and co-occurrence networks to identify keystone for classifiers as features significantly improved disease diagnosis. Our study provides novel insights into gut metabolic interaction landscape, bridging the gap between genomic potential and clinical utility for precision microbiome therapeutics.

microbiology↗

bioRxiv2026

Complete Genomes of Cultivated Gut Bacteria Reveal Mobile Genetic Element-Driven Functional Diversity with Therapeutic Implications

Cultivated bacterial isolates are essential for elucidating gut microbiota functions, yet reliance on fragmented draft genomes and limited mobile genetic element (MGE) annotation has constrained high-resolution analyses. Here, we present the Cultivated Complete Genome Reference (CCGR), a comprehensive compendium of 1,150 fully circularized human gut bacterial genomes. Overcoming draft limitations, CCGR achieves chromosome-scale resolution and reveals distinct evolutionary strategies shaping gene topological organization in response to bacterial growth. Furthermore, we decode the dynamic landscape of MGEs, demonstrating that broad-host-range phages follow strict positional patterns by integrating at conserved chromosomal hotspots flanked by nutrient transporter loci. Importantly, we provide mechanistic in vivo evidence that accessory genomic elements drive strain-level functional heterogeneity. Specifically, the plasmid-encoded scrK gene in Levilactobacillus brevis involved in fructose catabolism is required to mitigate fructose-diet-exacerbated colitis. Collectively, CCGR establishes a framework linking chromosomal architecture and MGEs to bacterial evolution and host health, enabling precise, strain-resolved functional investigations.

microbiology↗

bioRxiv2026

Library docking for Cannabinoid-2 Receptor ligands

Cannabinoid receptors are therapeutically promising GPCRs that are also interesting test systems for structure-based methods, which have targeted them previously. Here we used the CB2 receptor as a template to explore several topical questions in library docking. Whereas an earlier campaign against the CB1 receptor led to potent but relatively non-selective ligands, here we found that targeting interactions with polar, orthosteric site residues led to subtype-selective ligands. Docking hit rate and especially hit affinity improved in moving from a 7 million to a 2.6 billion molecule library. Similar to earlier studies, docking against active and inactive states of the receptor did not reliably bias toward the discovery of agonists or inverse agonists. Cryo-EM structures of two of the new agonists, each in a different chemotype, superposed well on the docking predictions. Correspondingly, structure-based optimization led to 10- to 140-fold improvements within three different series, also consistent with well-behaved ligand families. Hit rates with a fully enumerated 2.6 billion molecule library resembled those of an implied 11 billion molecule library from a building-block method, consistent with the latters ability to explore this space, though higher affinities were discovered from the fully enumerated set. Overall, eight diverse families of ligands, with potencies <100 nM and mostly unrelated to previously known ligands were found. Implications for future studies are considered.

biochemistry↗

bioRxiv2026

LRP6-Guided Engineering of AAV9 Variants with Enhanced Blood-Brain Barrier Penetration and Reduced Liver Tropism in Non-Human Primates

The blood-brain barrier (BBB) severely restricts the delivery of systemically administered adeno-associated virus (AAV) vectors for central nervous system (CNS) gene therapy. To overcome this limitation, we engineered a library of AAV9 capsid variants through rational design focused on the low-density lipoprotein receptor-related protein 6 (LRP6), a conserved mediator of transcytosis. A multi-tiered screening strategy, encompassing human BBB endothelial cells followed by neuronal and glial target cells in vitro, identified three lead variants (QL9-21, QL9-22, and QL9-25) with markedly enhanced transduction potential. In mice, these variants achieved a 5-28 fold increase in brain-wide gene delivery compared to AAV9, without elevating hepatic tropism. Crucially, evaluation in non-human primates (NHPs) revealed that the lead variant, QL9-21, mediated a striking 3-40 fold enhancement in viral genome delivery across all examined brain regions versus AAV9, while concurrently reducing liver accumulation by 2.6 fold. Our study establishes an LRP6-guided engineering platform that yields novel AAV9 vectors capable of efficient, species-conserved BBB penetration coupled with a favorable safety profile, representing a significant advance toward clinically translatable CNS gene therapies.

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↗

bioRxiv2026

ProteinMCP: An Agentic AI Framework for Autonomous Protein Engineering

Computational protein design is often constrained by slow, complex, inaccessible, and highly sophiscated and expert-dependent workflows that hinder its transferrability and generalization power for broader applications. We present ProteinMCP, an agentic AI framework designed to accelerate and democratize protein engineering. ProteinMCP automates end-to-end scientific tasks, delivering dramatic gains in efficiency; for instance, a comprehensive protein fitness modeling workflow was completed in just 11 minutes. This performance is achieved by an AI agent that intelligently orchestrates a unified ecosystem of 38 specialized tools, made accessible through a Model-Context-Protocol (MCP). A cornerstone of the framework is an automated pipeline that converts existing software into MCP-compliant servers, ensuring the platform is both powerful and perpetually extensible. We further demonstrate its capabilities through the successful autonomous design and selection of high-affinity de novo binders and therapeutic nanobodies. By removing technical barriers, ProteinMCP has the potential to shorten the design-build-test cycle and make advanced computational protein design accessible to the broader scientific community.

bioinformatics↗

bioRxiv2026

Single-cell transcriptomic atlas of mouse oocyte development from growth to ovulation

Oocyte growth and maturation depend on tightly coordinated programs within oocytes and their surrounding granulosa cells, yet defining the transcriptional continuum of growing oocytes has been challenging due to their large size and the limitations of current droplet-based and spatial transcriptomic platforms. Here, we optimized a high-density array-based platform called Stereo-cell for high-throughput dual-modality profiling of large mouse oocytes, allowing for both the preservation of morphology and transcript capture. By integrating unsupervised transcriptomic clustering with cell morphological features, we delineated successive temporal windows from growing oocytes to metaphase II and uncovered stage-linked shifts from early programs toward later programs. We also profiled the ovarian somatic fraction, reconstructed granulosa-cell subtype relationships, and placed ovarian cell states in tissue context using single-cell-resolution spatial data.

developmental biology↗

bioRxiv2026

FMR1 reduction alters cellular and circuit properties in human cortex

Transcriptional silencing of FMR1 results in Fragile X syndrome (FXS), the leading inherited cause of intellectual disability (ID) and autism. The Fmr1-/y mouse model has been used to identify FXS disease mechanisms, whereas mechanistic insights from human brain are lacking. By leveraging organotypic human cortical slices and viral tools to reduce FMR1 expression, we create a new model that captures cell type-specific transcriptomic changes similar to FXS patient cortex that are not seen in the Fmr1-/y mouse. Among these are ion channel subunit changes in deep layer pyramidal neurons, which are consistent with a robust hyperexcitability seen by whole-cell patch-clamp recordings, and increased synchronized activity revealed by 2-photon calcium imaging. Together, this work defines the impact of FMR1 reduction in human cortex and provides a new model for testing therapeutic interventions in FXS.

neuroscience↗

bioRxiv2026

Intrinsically disordered SERBP1 regulates translation through topology-driven G-quadruplex recognition.

Serpine mRNA-binding protein 1 (SERBP1) is an intrinsically disordered RNA-binding protein that regulates translation and ribosome biogenesis through interactions with ribosomes and other molecular complexes. Despite its regulatory importance and implication in cancer development, the molecular basis of SERBP1 RNA recognition remains poorly understood. Here, we characterize the G-quadruplex (G4)-binding properties of SERBP1. Using NMR spectroscopy and biophysical assays, we show that SERBP1 binds parallel G4s, both RNA and DNA, with low micromolar affinity through a conserved mechanism. Molecular dynamics and docking simulations reveal an encircling mechanism in which the RGG box wraps around the G4 while downstream C-terminal serine residues stabilize the complex through hydrogen bonding. Phosphomimetic mutations of key serines disrupt this stabilization and reduce binding affinity, identifying phosphorylation as a regulatory switch for SERBP1 activity. Recognition is driven by G4 topology rather than nucleotide sequence, establishing SERBP1 as a broad-specificity G4-binding protein. We further demonstrate that SERBP1 regulates mTOR expression in glioblastoma cell lines through G4 elements in the mTOR 5 UTR, and that SERBP1 depletion synergizes with mTOR inhibition to reduce cell growth. These results establish SERBP1 as a G4 adaptor protein and represent, to our knowledge, the first detailed characterization of G4 recognition by a fully disordered domain, providing a molecular framework for targeting SERBP1-G4 interactions in cancer. Significance StatementSERBP1 is overexpressed in multiple cancers and regulates key cellular processes, yet how it recognizes its RNA targets has remained unclear. We show that SERBP1 binds G-quadruplex structures through an encircling mechanism in which its RGG box and adjacent C-terminal serine residues lock around the G4 topology, and that phosphorylation of these serines acts as a switch to modulate binding. Recognition is driven by G4 topology rather than nucleotide sequence, positioning SERBP1 as a general G4 adaptor that recruits helicases to resolve these structures and license translation. We demonstrate this principle in glioblastoma, where SERBP1 regulates mTOR expression through direct recognition of G4 elements in the mTOR 5 UTR, and its depletion synergizes with mTOR inhibition. These findings provide the first molecular characterization of G4 recognition by a fully disordered domain and establish a direct link between SERBP1-G4 interactions and cancer-relevant translational regulation.

biophysics↗

bioRxiv2026

Differential kin interactions between invasive and native plants: evidence from Alternanthera philoxeroides and its native congener

Reduced competition or facilitation between kin relative to nonkin can improve plant performance, particularly under resource-limited conditions. Understanding whether kin interactions differ between invasive and native species may provide insights into the mechanisms underlying the persistence and spread of invasive species, particularly for species that spread clonally. To explore this, we conducted a greenhouse experiment using the invasive Alternanthera philoxeroides and its native congener A. sessilis in China. For both species, we grew central plants without or with neighbors, and for the latter we had three intraspecific neighbor kinship treatments (kin only, nonkin only, and both kin and nonkin [mixed] neighbors). To test whether kinship effects are affected by resource limitation, we grew the plants under two watering conditions (well-watered and drought-stressed). Our findings revealed that at both the group (i.e., pot-level) and individual levels, invasive plants had a higher biomass production and experienced a less negative relative neighbor effect in kin groups than in nonkin groups, while these patterns were reversed in the native species. Although aboveground architecture of central plants did not differ significantly between kin and nonkin neighbors in either species, neighbor plants of the invasive species produced fewer nodes in kin groups than in nonkin groups, while the reverse was true for the native species. These patterns were not affected by the watering treatment. Together, these results indicate that while the native plants has stronger kin competition, the invasive species has reduced kin competition. Such reduced competition among kin in the invasive Alternanthera philoxeroides may enhance its population dominance and facilitate its spread.

ecology↗

bioRxiv2026

Stepwise GRN co-option in the evolution of a dipteran respiratory organ

The origin of morphological novelty lies at the heart of evolutionary biology, yet how ecological shifts drive its emergence through rewiring of gene regulatory networks (GRNs) remains poorly understood. Here, we dissect the roles of GRN co-option in the development and evolution of the prothoracic respiratory organ (PROD), a key innovation facilitating aquatic respiration in dipteran pupae. Ancestral-state reconstruction across over 200 species reveals that PROD originated [~]241 Ma in the common ancestor of Diptera, with a major increase in structural complexity in schizophoran flies [~]66-70 Ma. These transitions coincide with the Carnian Pluvial Episode and the K-Pg mass extinction, periods of profound climatic and ecological upheaval that likely imposed selection pressure for efficient pupal gas exchange in flooded or submerged habitats. Using comparative transcriptomics, scRNA-seq, and genetic manipulations in Drosophila melanogaster and Aedes albopictus, we demonstrate that PROD is a prothoracic wing serial homolog, specified by a cut-centered spiracle GRN and arising through heterochronic activation of an appendage GRN. In schizophoran flies, increase in complexity of PROD involved additional co-option of a breathless-centered tracheal GRN. Our findings reveal a stepwise model of hierarchical GRN co-option and provide potential links between geo-climatic events to the origin and escalation of morphological novelty. This eco-evo-devo framework provides a mechanistic and generalizable paradigm for how ecological challenges are translated into morphological innovations over macroevolutionary timescales.

evolutionary biology↗

bioRxiv2026

Heterotrimeric G Protein and RasGAP Coupling Drives Adaptation During Chemotaxis

Chemotaxis enables eukaryotic cells to detect and migrate along extracellular chemoattractant gradients spanning several orders of magnitude. This remarkable dynamic range relies on adaptation, a process that allows cells to reset their signaling machinery while preserving sensitivity to incremental changes in stimulus intensity. Although numerous actin-dependent feedback mechanisms have been characterized, the molecular basis of adaptation within the actin-independent core gradient-sensing module remains poorly understood. Here we identify the Ras GTPase-activating protein C2GAP1 as a critical F-actin-independent effector of the heterotrimeric G protein G2 in Dictyostelium discoideum. Using cytoskeleton-free gradient-sensing cells, quantitative imaging, biochemical assays, FRET-based G-protein activation measurements, and structural modeling, we demonstrate that C2GAP1 controls concentration-dependent adaptation during gradient sensing. Mechanistically, C2GAP1 directly associates with G2 in both GDP- and GTP-bound states, with preferential binding to activated G2, thereby sustaining membrane recruitment and locally attenuating signaling. Loss of C2GAP1 enhances G-protein activation, disrupts front-specific inhibition, and impairs rapid reorientation in dynamic gradients. These findings define a direct coupling between heterotrimeric G proteins and a RasGAP as a core adaptive module that calibrates gradient sensing across wide concentration ranges. HighlightsChemotaxis, the directional migration of cells along chemoattractant gradients, underlies processes such as neuron patterning, lymphocyte recruitment, cancer metastasis, and Dictyostelium discoideum development. The hallmark of eukaryotic chemotaxis is the ability to sense and respond to gradients spanning wide concentration ranges through cellular adaptation. This process involves three interconnected modules: gradient sensing, cell polarity, and migration, with gradient sensing as the foundation. While many components of GPCR-mediated signaling are known, the molecular mechanisms driving adaptation remain unclear. Here, we show that the heterotrimeric G protein subunit interacts with RasGAP C2GAP1 to mediate adaptation during gradient sensing and chemotaxis.

cell biology↗