Biology subjects

Cao, L.

Publications and source records attributed to Cao, L..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

The J-Like Protein ARC6 Regulates Chloroplast FtsZ-Ring Assembly through Fine-tuning ARC3 Activity in Arabidopsis

Chloroplast division is initiated by the establishment of the stromal FtsZ ring (Z ring). Assembly and positioning of the Z ring are governed by the chloroplast Min system, which inhibits Z-ring formation everywhere but the middle of the chloroplast. ACCUMULATION AND REPLICATION OF CHLOROPLASTS3 (ARC3), the core component of this system, is a direct inhibitor of Z-ring assembly. Regulation of ARC3 activity is vital thus for chloroplast division. Here, we report that ARC6, which localizes on the chloroplast inner envelope membrane, interacts with ARC3 and acts upstream of ARC3 during chloroplast division. We show that the C-terminal MORN domain of ARC3, demonstrated previously to prevent ARC3-FtsZ interaction, binds to the J-like domain (JLD) of ARC6, enabling full-length ARC3 to interact with FtsZ proteins and activating the inhibitory activity of ARC3 on the assembly of FtsZ filaments. Overexpression of a JLD-deleted version of ARC6 causes disruption of Z-ring formation in an ARC3-dependent manner. Finally, we reveal that ARC6 recruits ARC3 to the middle of the chloroplast. Our findings suggest a model whereby ARC6 regulates the assembly and positioning of the Z ring through fine-tuning the inhibitory activity of ARC3 at the chloroplast division site. One Sentence SummaryThe chloroplast membrane protein ARC6 recruits ARC3 to the chloroplast division site and regulates the assembly of the FtsZ ring by fine-tuning ARC3 activity through its J-like domain. The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (https://academic.oup.com/plcell/pages/General-Instructions) is: Cheng Chen (cgchen@sjtu.edu.cn).

plant biology↗

bioRxiv2023

ST-GEARS: Advancing 3D Downstream Research through Accurate Spatial Information Recovery

Three-dimensional Spatial Transcriptomics has revolutionized our understanding of tissue regionalization, organogenesis, and development. However, to reconstruct single sections back to their in situ three-dimensional morphology, existing approaches either only adopt gene expression information to guide reconstruction or overlook shape correction against experiment-induced section distortions. This leads to significant discrepancies between reconstruction results and the actual in vivo locations of cells, imposing unreliable spatial profiles to downstream analysis. To address these challenges, we propose ST-GEARS (Spatial Transcriptomics GEospatial profile recovery system through AnchoRS), which solves optimized anchors between in situ closest spots utilizing expression and structural similarity across sections and recovers in vivo spatial information under the guidance of anchors. By employing innovative Distributive Constraints into the Optimization scheme, it retrieves anchors with higher precision compared to existing methods. Taking these anchors as reference points, ST-GEARS first rigidly aligns sections, then introduces and infers Elastic Fields to counteract distortions. ST-GEARS denoises the fields using context information by Gaussian Denoising. Utilizing the denoised fields, it eliminates distortions and eventually recovers original spatial profile through innovative and mathematically proved Bi-sectional Fields Application. Studying ST-GEARS on both bi-sectional registration and complete tissue reconstruction across sectional distances and sequencing platforms, we observed its outstanding performance in spatial information recovery across tissue, cell, and gene levels compared to current approaches. Through this recovery, ST-GEARS provides precise and well-explainable gears between in vivo situations and 3D in vitro analysis, powerfully fueling the potential of biological discoveries.

bioinformatics↗

bioRxiv2023

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

Tracing cellular dynamic changes across conditions, time, and space is crucial for understanding the molecular mechanisms underlying complex biological systems. However, integrating multi-sample data in a unified and flexible way to explore cellular heterogeneity remains a major challenge. Here, we present Stereopy, a flexible and versatile framework for modeling and dissecting comparative and spatiotemporal patterns in multi-sample spatial transcriptomics with interactive data visualization. To optimize this flexible framework, we have developed three key components: a multi-sample tailored data container, a scope controller, and an analysis transformer. Furthermore, Stereopy showcases three transformative applications supported by pivotal algorithms. Firstly, the multi-sample cell community detection (CCD) algorithm introduces an innovative capability to detect specific cell communities and identify genes responsible for pathological changes in comparable datasets. Secondly, the spatially resolved temporal gene pattern inference (TGPI) algorithm represents a notable advancement in detecting important spatiotemporal gene patterns while concurrently considering spatial and temporal features, which enhances the identification of important genes, domains and regulatory factors closely associated with temporal datasets. Finally, the 3D niche-based regulation inference tool, named NicheReg3D, reconstructs the 3D cell niches to enable the inference of cell-gene interaction network within the spatial texture, thus bridging intercellular communications and intracellular regulations to unravel the intricate regulatory mechanisms that govern cellular behavior. Overall, Stereopy serves as both a bioinformatics toolbox and an extensible framework that provides researchers with enhanced data interpretation abilities and new perspectives for mining multi-sample spatial transcriptomics data.

bioinformatics↗

bioRxiv2023

CK-666 and CK-869 differentially inhibit Arp2/3 iso-complexes

The inhibitors, CK-666 and CK-869, are widely used to probe the function of actin nucleation by the Arp2/3 complex in vitro and in cells. However, in mammals, the Arp2/3 complex consists of 8 iso-complexes, as three of its subunits (Arp3, ArpC1, ArpC5) are encoded by two different genes. Here, we used recombinant Arp2/3 with defined composition to assess the activity of CK-666 and CK-869 against iso-complexes. We demonstrate that both inhibitors prevent linear actin filament formation when ArpC1A- or ArpC1B-containing complexes are activated by SPIN90. In contrast, inhibition of actin branching depends on iso-complex composition. Both drugs prevent actin branch formation by complexes containing ArpC1A, but only CK-869 can inhibit ArpC1B-containing complexes. Consistent with this, in bone marrow-derived macrophages which express low levels of ArpC1A, CK-869 but not CK-666, impacted phagocytosis and cell migration. CK-869 is also only able to inhibit Arp3-but not Arp3B-containing iso-complexes. Our findings have important implications for the interpretation of results using CK-666 and CK-869, given that the relative expression levels of ArpC1 and Arp3 isoforms in cells and tissues remains largely unknown.

biochemistry↗

bioRxiv2023

TREVI: A Transcriptional Regulation-driven Variational Inference Model to Speculate Gene Expression Mechanism with Integration of Single-cell Multi-omics

Single-cell multi-omics technology enables the concurrent measurement of multiple molecular entities, making it critical for unraveling the inherent gene regulation mechanisms driving cell heterogeneity. However, existing multi-omics techniques have limitations in capturing the intricate regulatory interactions among these molecular components. In this study, we introduce TREVIXMBD (Transcriptional REgulation-driven Variational Inference), a novel method that integrates the well-established gene regulation structure with scRNA-seq and scATAC-seq data through an advanced Bayesian framework. TREVIXMBD models the generation of gene expression profiles in individual cells by considering the integrated influence of three fundamental biological factors: accessibility of cis-regulatory elements regions, transcription factor (TF) activities and regulatory weights. TF activities and regulatory weights are probabilistically represented as latent variables, which capture the inherent gene regulatory significance. Hence, in contrast to gene expression, TF activities and regulatory weights that depict the cell states from a more intrinsic perspective, can keep consistent across diverse datasets. TREVIXMBD exhibits superior performance when compared to baseline methods in a variety of biological analyses, including cell typing, cell development tracking, and batch effect correction, as validated through comprehensive benchmarking. Moreover, TREVIXMBD can reveal variations in TF-gene regulation relationships across cells. The pretrained TREVIXMBD model can work even when only scRNA-seq is available. Overall, TREVIXMBD introduces a pioneering biological-mechanism-driven framework for elucidating cell states at a gene regulatory level. The models structure is adaptable for the inclusion of additional biological factors, allowing for flexible and more comprehensive gene regulation analysis.

bioinformatics↗

bioRxiv2023

SCC3 acts as the cohesin and inhibits inter-sister chromatids repair during rice meiosis

Cohesin is a multi-subunit protein that plays a pivotal role in holding sister chromatids together during cell division. Sister chromatid cohesion 3 (SCC3), constituents of cohesin complex, is highly conserved from yeast to mammals. Since the deletion of individual cohesin subunit always causes lethality, it is difficult to dissect its biological function in both mitosis and meiosis. Here, we obtained scc3 weak mutants using CRISPR-Cas9 system to explore its function during rice mitosis and meiosis. The scc3 weak mutants displayed obvious vegetative defects and complete sterility, underscoring the essential roles of SCC3 in both mitosis and meiosis. SCC3 is localized on chromatin from interphase to prometaphase in mitosis. However, in meiosis, SCC3 acts as an axial element during early prophase I and subsequently situates onto centromeric regions following the disassembly of the synaptonemal complex. The loading of SCC3 onto meiotic chromosomes depends on REC8. scc3 shows severe defects in homologous pairing and synapsis. Consequently, SCC3 functions as an axial element that is essential for maintaining homologous chromosome pairing and synapsis during meiosis.

genetics↗

bioRxiv2023

Structure of scavenger receptor SCARF1 and its interaction with lipoproteins

SCARF1 (Scavenger receptor class F member 1, SREC-1 or SR-F1) is a type I transmembrane protein that recognizes multiple endogenous and exogenous ligands such as modified low-density lipoproteins (LDL) and is important for maintaining homeostasis and immunity. But the structural information and the mechanisms of ligand recognition of SCARF1 are largely unavailable. Here we solve the crystal structures of the N-terminal fragments of human SCARF1, which show that SCARF1 forms homodimers and its epidermal growth factor (EGF)-like domains adopt a long-curved conformation. Then we examine the interactions of SCARF1 with lipoproteins and are able to identify a region on SCARF1 for recognizing modified LDLs. The mutagenesis data show that the positively charged residues in the region are crucial for the interaction of SCARF1 with modified LDLs, which is confirmed by making chimeric molecules of SCARF1 and SCARF2. In addition, teichoic acids, a cell wall polymer expressed on the surface of gram-positive bacteria, are able to inhibit the interactions of modified LDLs with SCARF1, suggesting the ligand binding sites of SCARF1 might be shared for some of its scavenging targets. Overall, these results provide mechanistic insights into SCARF1 and its interactions with the ligands, which are important for understanding its physiological roles in homeostasis and the related diseases.

biophysics↗

bioRxiv2023

A high-performance brain-sentence communication designed for logosyllabic language

Many severe neurological diseases, such as stroke and amyotrophic lateral sclerosis, can impair or destroy the ability of verbal communication. Recent advances in brain-computer interfaces (BCIs) have shown promise in restoring communication by decoding neural signals related to speech or motor activities into text. Existing research on speech neuroprosthesis has predominantly focused on alphabetic languages, leaving a significant gap of logosyllabic languages such as Mandarin Chinese which are spoken by more than 15% of the world population. Logosyllabic languages pose unique challenges to brain-to-text decoding due to extended character sets (e.g., 50,000+ for Mandarin Chinese) and complex mapping between characters and pronunciation. To address these challenges, we established a speech BCI designed for Mandarin, decoding speech-related stereoelectroencephalography (sEEG) signals into coherent sentences. We leverage the unique acoustic features of Mandarin Chinese syllables, constructing prediction models for syllable components (initials, tones, and finals), and employ a language model to resolve pronunciation to character ambiguities according to the semantic context. This method leads to a high-performance decoder with a median character accuracy of 71.00% over the full character set, demonstrating huge potentials for clinical application. To our knowledge, we are the first to report brain-to-sentence decoding for logosyllabic languages over full character set with a large intracranial electroencephalography dataset.

neuroscience↗

bioRxiv2023

Precise Therapeutic Targeting of Distinct NRXN1+/- Mutations

Given the large number of genes significantly associated with risk for neuropsychiatric disorders, a critical unanswered question is the extent to which diverse mutations --sometimes impacting the same gene--will require tailored therapeutic strategies. Here we consider this in the context of rare neuropsychiatric disorder-associated copy number variants (2p16.3) resulting in heterozygous deletions in NRXN1, a pre-synaptic cell adhesion protein that serves as a critical synaptic organizer in the brain. Complex patterns of NRXN1 alternative splicing are fundamental to establishing diverse neurocircuitry, vary between the cell types of the brain, and are differentially impacted by unique (non-recurrent) deletions. We contrast the cell-type-specific impact of patient-specific mutations in NRXN1 using human induced pluripotent stem cells, finding that perturbations in NRXN1 splicing result in divergent cell-type-specific synaptic outcomes. Via distinct loss-of-function (LOF) and gain-of-function (GOF) mechanisms, NRXN1+/- deletions cause decreased synaptic activity in glutamatergic neurons, yet increased synaptic activity in GABAergic neurons. Reciprocal isogenic manipulations causally demonstrate that aberrant splicing drives these changes in synaptic activity. For NRXN1 deletions, and perhaps more broadly, precision medicine will require stratifying patients based on whether their gene mutations act through LOF or GOF mechanisms, in order to achieve individualized restoration of NRXN1 isoform repertoires by increasing wildtype, or ablating mutant isoforms. Given the increasing number of mutations predicted to engender both LOF and GOF mechanisms in brain disorders, our findings add nuance to future considerations of precision medicine.

neuroscience↗

bioRxiv2023

Regeneration of actin filament branches from the same Arp2/3 complex

Branched actin filaments are found in many key cellular structures. Branches are nucleated by the Arp2/3 complex activated by nucleation-promoting factor (NPF) proteins and bound to the side of pre-existing mother filaments. Over time, branches dissociate from their mother filament, leading to network reorganization and turnover, but this mechanism is less understood. Here, using microfluidics and purified proteins, we examined the dissociation of individual branches under controlled biochemical and mechanical conditions. We observe that Arp2/3 remains bound to the mother filament after most debranching events, even when accelerated by force. Unexpectedly, this mother-remaining Arp2/3 readily nucleates a new actin filament branch, without being activated anew by an NPF: it simply needs to exchange its nucleotide and bind an actin monomer. The protein GMF, which accelerates debranching, prevents branch re-nucleation. Our results suggest that actin filament re-nucleation can provide a self-repair mechanism, helping branched networks to sustain mechanical stress in cells over extended periods of time.

biophysics↗

bioRxiv2023

Microsporidia Ser/Thr Protein Phosphatase PP1 Targets DCs MAPK Pathway and Impair Immune Functions

Microsporidia are difficult to completely eliminate. Their persistence may disrupt host cell functions. Here in this study, we aimed to elucidate the impairing effects and consequences of microsporidia infection upon dendritic cells (DCs). We used the zoonotic microsporidia species, Enterocytozoon hellem, in our studies. In vivo experiments showed that E. hellem-infected mice were more susceptible to further pathogenic challenges. DCs were identified as the most affected group of cells. In vitro assays revealed that E. hellem infection impaired the immune functions of DCs as reflected by down-regulation of cytokine expression, lower extent of maturation and antigen presentation. E. hellem infection decreased the ability of DCs to prime and stimulate T cells, thereby hampering host immune cell functions. We further demonstrate that E. hellem Ser/Thr protein phosphatase PP1 directly interacts with host p38(MAPK14) to manipulate the p38 (MAPK14)/NFAT-5 axis of the MAPK pathway. Our study is the first to elucidate the molecular mechanisms of the impairing effects of microsporidia on host DCs immune functions. The emerging of microsporidiosis may be great threat to public health. HighlightsO_LIPersistence of Microsporidia within host impairs dendritic cell functions such as phagocytosis, maturation, antigen presentation and T cell priming, thereby disrupting both innate and adaptive immunities and making the host more vulnerable to secondary infections C_LIO_LIMicrosporidia impairs DCs function via Serine/Threonine Protein Phosphatase PP1 directly targeting DCs p38/MAPK pathway C_LIO_LILatent Microsporidia infection and persistence is a great threat to public health when assessing acute and emerging pathogen risk C_LI

microbiology↗

bioRxiv2023

Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations

A predictive evolutionary model was developed to forecast representative influenza viral strains and select vaccine strains for upcoming epidemic seasons. Influenza virus continuously evolves to escape human adaptive immunity and generates seasonal epidemics. A computational approach beth-1 that models site-wise mutation dynamics demonstrated remarkable matching of predicted strains to the circulating viruses in subsequent seasons for the influenza A(H1N1)pdm09 and A(H3N2) viruses in both retrospective and prospective validations. The method offers a promising and ready-to-use tool to facilitate vaccine strain selection for the influenza virus, achieved by capturing heterogeneous evolutionary dynamics over genome space-time and linking molecular variants to population immune response. One-Sentence SummaryA computational model predicts virus evolution and facilitates vaccine strain selection for the influenza virus

evolutionary biology↗

bioRxiv2023

Designed Endocytosis-Triggering Proteins mediate Targeted Degradation and amplify signaling

Endocytosis and lysosomal trafficking of cell surface receptors can be triggered by interaction with endogenous ligands. Therapeutic approaches such as LYTAC1,2 and KineTAC3, have taken advantage of this to target specific proteins for degradation by fusing modified native ligands to target binding proteins. While powerful, these approaches can be limited by possible competition with the endogenous ligand(s), the requirement in some cases for chemical modification that limits genetic encodability and can complicate manufacturing, and more generally, there may not be natural ligands which stimulate endocytosis through a given receptor. Here we describe general protein design approaches for designing endocytosis triggering binding proteins (EndoTags) that overcome these challenges. We present EndoTags for the IGF-2R, ASGPR, Sortillin, and Transferrin receptors, and show that fusing these tags to proteins which bind to soluble or transmembrane protein leads to lysosomal trafficking and target degradation; as these receptors have different tissue distributions, the different EndoTags could enable targeting of degradation to different tissues. The modularity and genetic encodability of EndoTags enables AND gate control for higher specificity targeted degradation, and the localized secretion of degraders from engineered cells. The tunability and modularity of our genetically encodable EndoTags should contribute to deciphering the relationship between receptor engagement and cellular trafficking, and they have considerable therapeutic potential as targeted degradation inducers, signaling activators for endocytosis-dependent pathways, and cellular uptake inducers for targeted antibody drug and RNA conjugates.

synthetic biology↗

bioRxiv2023

Cooperation between bacteriocytes and endosymbionts drives function and development of symbiotic cells in mussel holobionts

Symbiosis drives the adaptation and evolution in multicellular organisms. Modeling the function and development of symbiotic cells/organs in holobionts is yet challenging. Here, we surveyed the molecular function and developmental trajectory of bacteriocyte lineage in non-model deep-sea mussels by constructing a high-resolution single-cell expression atlas of gill tissue. We show that mussel bacteriocytes optimized immune processes to facilitate recognition, engulfment, and elimination of endosymbionts, and interacted with them intimately in sterol, carbohydrate, and ammonia metabolism. Additionally, the bacteriocytes could arise from three different stem cells as well as bacteriocytes themselves. In particular, we showed that the molecular functions and developmental process of bacteriocytes were guided by the same set of regulatory networks and dynamically altered regarding to symbiont abundance via sterol-related signaling. The coordination in the functions and development of bacteriocytes and between the host and symbionts underlies the interdependency of symbiosis, and drives the deep-sea adaptation of mussels.

ecology↗

bioRxiv2023

Cortactin stabilizes actin branches by bridging activated Arp2/3 to its nucleated actin filament

Regulation of the assembly and turnover of branched actin filament networks nucleated by the Arp2/3 complex is essential during many cellular processes including cell migration and membrane trafficking. Cortactin plays a key role in stabilizing actin filament branches by interacting with the Arp2/3 complex and actin filaments via its N-terminal Acidic domain (NtA) and 6.5 central unstructured 37 amino acid repeats, respectively 1, but the mechanism of this is unclear. We determined the structure of cortactin-stabilized Arp2/3 actin branches using cryo-electron microscopy. We find that cortactin interacts with the new daughter filament nucleated by the Arp2/3 complex at the branch site rather than the initial mother actin filament. Cortactin preferentially binds activated Arp3 in contrast to other nucleation promoting factors (NPFs) 2,3. Cortactin also stabilizes the F-actin-like interface of activated Arp3 with the first actin subunit of the new filament, and its central repeats extend along successive daughter filament subunits. Cortactin binding to Arp3 is incompatible with NPF interaction and its preference for activated Arp3 explains why it is retained at the actin branch. Our data have uncovered why cortactin displaces NPFs, while at the same time promoting synergy to regulate branched actin network dynamics.

biophysics↗

bioRxiv2023

H2O2 sulfenylates CHE linking local infection to establishment of systemic acquired resistance

In plants, a local infection can lead to systemic acquired resistance (SAR) through increased production of salicylic acid (SA). For 30 years, the identity of the mobile signal and its direct transduction mechanism for systemic SA synthesis in initiating SAR have been hotly debated. We found that, upon pathogen challenge, the cysteine residue of transcription factor CHE undergoes sulfenylation in systemic tissues, enhancing its binding to the promoter of SA-synthesis gene, ICS1, and increasing SA production. This occurs independently of previously reported pipecolic acid (Pip) signal. Instead, H2O2 produced by NADPH oxidase, RBOHD, is the mobile signal that sulfenylates CHE in a concentration-dependent manner. This modification serves as a molecular switch that activates CHE-mediated SA-increase and subsequent Pip-accumulation in systemic tissues to synergistically induce SAR. One Sentence SummaryRBOHD-generated H2O2 sulfenylates transcription factor CHE to establish systemic acquired resistance in plants.

plant biology↗

bioRxiv2023

The membrane-cytoplasmic linker defines activity of FtsH proteases

Pandemic Pseudomonas aeruginosa clone C strains encode a xenolog of FtsH (PaFtsH2), an inner-membrane associated ATP-dependent protease. FtsH1 supports growth and intrinsic antibiotic resistance but cannot be replaced by ftsH2. We show that purified PaFtsH2 degrades fewer substrates than PaFtsH1. Swapping residues of a short MC peptide that links transmembrane helix-2 with the cytosolic AAA+ ATPase module from PaFtsH1 into PaFtsH2 improves hybrid-enzyme substrate processing in vitro and enables PaFtsH2 to substitute for PaFtsH1 in vivo. FtsH1 MC peptides are glycine rich. Introducing three glycines into the membrane-proximal end of PaFtsH2s MC linker is sufficient to elevate activity in vitro and in vivo. Electron microscopy including PaFtsH2 indicates that MC linker identity influences FtsH flexibility. Our findings establish that the efficiency of substrate processing by two PaFtsH isoforms depends on how they are attached to the membrane and suggest that greater linker flexibility/length allows FtsH to degrade a wider spectrum of substrates. As FtsH2 homologs occur across bacterial phyla, we hypothesize that FtsH2 is not a latent enzyme, rather recognizes specific substrates or is activated in specific contexts or biological niches. We hypothesize that such linkers might play a more determinative role in functionality and physiological impact of FtsH proteases than previously thought.

biochemistry↗

bioRxiv2023

Deciphering deep-sea chemosynthetic symbiosis by single-nucleus RNA-sequencing

Bathymodioline mussels dominate deep-sea methane seep and hydrothermal vent habitats and obtain nutrients and energy primarily through chemosynthetic endosymbiotic bacteria in the bacteriocytes of their gill. However, the molecular mechanisms that orchestrate mussel host-symbiont interactions remain unclear. Here, we constructed a comprehensive cell atlas of the gill in the mussel Gigantidas platifrons from the South China Sea methane seeps (1100m depth) using single-nucleus RNA sequencing (snRNA-seq) and whole-mount in situ hybridisation. We identified 13 types of cells, including three previously unknown ones, and uncovered unknown tissue heterogeneity. Every cell type has a designated function in supporting the gills structure and function, creating an optimal environment for chemosynthesis, and effectively acquiring nutrients from the endosymbiotic bacteria. Analysis of snRNA-seq of in situ transplanted mussels clearly showed the shifts in cell state in response to environmental oscillations. Our findings provide insight into principles of host-symbiont interaction and the bivalves environmental adaption mechanisms.

ecology↗