Biology subjects

Wang, S.-C.

Publications and source records attributed to Wang, S.-C..

14 recordsLinked to original sources

bioRxiv2026

Single-Molecule Imaging Reveals Differential Stability of Alpha-Synuclein Aggregates

-Synuclein (-syn) aggregation is central to Parkinsons disease (PD), yet measurements in biofluids are confounded by the coexistence of monomeric and aggregated species. Using Syn-IMAGR, a single-molecule imaging platform with sub-femtomolar sensitivity, we show that purified -syn aggregates undergo dilution-induced disassembly, revealing a concentration-dependent equilibrium. Applied to postmortem brain lysates, Syn-IMAGR distinguishes physiological -syn multimers, which are dimmer and readily dissociate upon dilution, from PD-associated aggregates, which remain detectable and exhibit greater structural resistance to disruption. These results indicate that -syn assemblies occupy distinct stability regimes, with PD-associated aggregates representing a more persistent and less dilution-sensitive structural state. Syn-IMAGR thus provides a quantitative framework for resolving -syn species and for probing their concentration-dependent equilibrium.

neuroscience↗

bioRxiv2025

Floral Stage Optimization and Immune Evasion Enhance Agrobacterium-Mediated Genome Editing in Arabidopsis

O_LIAgrobacterium-mediated transformation via floral inoculation (AMT-FI) enables genetic engineering without tissue culture. It is widely used in the model plant Arabidopsis thaliana, yet its efficiency and broader applicability remain limited. C_LIO_LIHere, we used a dual-reporter system (RUBY and hygromycin resistance) to identify key floral stages and engineered Agrobacterium strains to evade plant immunity, leading to enhanced transient expression and genome editing. C_LIO_LIWe determined that flowers opened at 6 day-post-inoculation (DPI) are optimal for high transformation efficiency, with nearly 100% of siliques harboring transformants. However, Agrobacterium infection induced ovule abortion, particularly in wild-type (Col-0) plants, whereas efr mutants lacking the EF-Tu receptor (EFR)-mediated pattern-triggered immunity (PTI) showed reduced ovule abortion. Notably, efr mutants exhibited more RUBY-positive ovules and significantly enhanced genome editing efficiency. Two engineered stealth Agrobacterium strains (AS201 and AS202) expressing a chimeric EF- Tu for evading recognition by EFR enhanced both transient transformation and genome editing efficiency. Remarkably, genome-edited T1 plants could be recovered based on phenotype or direct sequencing without the need for antibiotic selection when targeting flowers opened at 6 DPI. C_LIO_LIBy integrating floral stage selection, immune evasion, and Agrobacterium engineering, this study provides a practical and versatile platform to advance plant genome engineering. C_LI

plant biology↗

bioRxiv2024

Identification of Novel Modulators of the ALT Pathway Through a Native FISH-Based Optical Screen

A significant portion of human cancers utilize a recombination-based pathway, Alternative Lengthening of Telomeres (ALT), to extend telomeres. To gain further insights into this pathway, we developed a high-throughput imaging-based screen named TAILS (Telomeric ALT In situ Localization Screen), to identify genes that either promote or inhibit ALT activity. Screening over 1000 genes implicated in DNA transactions, TAILS revealed both well-established and novel ALT modulators. We have identified new factors that promote ALT, such as the nucleosome-remodeling factor CHD4 and the chromatin reader SGF29, as well as factors that suppress ALT, including the RNA helicases DDX39A/B, the replication factor TIMELESS, and components of the chromatin assembly factor CAF1. Our data indicate that defects in histone deposition significantly contribute to ALT-associated phenotypes. Based on these findings, we demonstrate that pharmacological treatments can be employed to either exacerbate or suppress ALT-associated phenotypes.

molecular biology↗

bioRxiv2024

All-trans retinoic acid-mediated ADAR1 degradation synergizes with PD-1 blockade to suppress pancreatic cancer

As a double-stranded RNA-editing enzyme and an interferon-stimulated gene, double-stranded RNA-specific adenosine deaminase (ADAR1) suppresses interferon signaling and contributes to immunotherapy resistance. Suppression of ADAR1 overcomes immunotherapy resistance in preclinical models, but has not yet been translated to clinical settings. By conducting a screening of a subset of the FDA-approved drugs, we found that all-trans retinoic acid (ATRA, also known as tretinoin) caused ADAR1 protein degradation through ubiquitin-proteasome pathways and concomitantly increased PD-L1 expression in pancreatic and breast cancers. In addition, the combination of ATRA and PD-1 blockade reprogrammed the tumor microenvironment and unleashed antitumor immunity and thereby impeded tumor growth in pancreatic cancer mouse models. In a pilot clinical trial, a higher dose of ATRA plus the anti-PD-1 antibody nivolumab prolonged median overall survival in patients with chemotherapy-resistant pancreatic cancer compared to a lower dose of the same regimen. In this study, ATRA was the first drug to be found to cause ADAR1 degradation. We propose translation of a promising 2-pronged antitumor strategy using ATRA and nivolumab to convert immunologically "cold" into "hot" tumors susceptible to immune checkpoint blockade.

cancer biology↗

bioRxiv2024

TRIM24 directs replicative stress responses to maintain ALT telomeres via chromatin signaling

An inability to replicate the genome can cause replication stress and genome instability. Here, we develop BLOCK-ID, a proteomic method to identify and visualize proteins at stressed replication forks. This approach successfully identified novel mediators of the replication stress response, including the chromatin acetylation reader protein TRIM24. In validating TRIM24 function, we uncovered its crucial role in coordinating Alternative Lengthening of Telomeres (ALT), a cancer-specific telomere extension pathway involving replication stress. Our data reveal that TRIM24 is directed to telomeres via a p300/CBP-dependent acetylation chromatin signaling cascade, where it organizes ALT-associated PML bodies (APBs) to promote telomere DNA synthesis. Strikingly, we demonstrate that when artificially tethered at telomeres, TRIM24 can stimulate new telomere DNA synthesis in a SUMO-dependent manner, independently of p300/CBP or PML-dependent APBs. Thus, this study identifies a TRIM24 chromatin signaling pathway required for ALT telomere maintenance.

cell biology↗

bioRxiv2024

A packaging signal-binding protein regulates the assembly checkpoint of integrative filamentous phages

Many integrative filamentous phages not only lack Ff coliphage homologues essential for assembly but also have distinct packaging signals (PS). Their encapsidation remains completely uncharacterized to date. Here we report the first evidence of a PS-dependent checkpoint for integrative filamentous phage assembly. Suppressor screening of PS-deficient phages identified an unknown protein, PSB15 (PS-binding 15 kDa), crucial for encapsidation. The WAGFXF motif of the PSB15 N-terminus directly binds to PS DNA with conformational change, while suppressor mutations relieve DNA binding specificity constraints to rescue assembly arrest. PSB15 interacts with phospholipid cardiolipin via its basic helix and C-terminus, and recruits PS DNA to the inner membrane (IM). The PSB15-PS complex is released from the IM by interaction between its hydrophobic linker and thioredoxin (Trx), a host protein that is required for Ff assembly but whose mechanisms are still unclear. Live cell imaging shows that thioredoxin and DNA binding regulate the dwelling time of PSB15 at cell poles, suggesting that they both facilitate the dissociation of PSB15 from the IM. Loss of PSB15 or its PS-binding and IM-targeting/dissociation activity compromised virus egress, indicating that the PS/PSB15/Trx complex establishes a regulatory phage assembly checkpoint critical for integrative phage infection and life cycles.

microbiology↗

bioRxiv2023

Assessment of extracellular vesicle protein cargo as neurodegenerative disease biomarkers

Extracellular vesicles (EVs) are released by all cells and hold great promise as a class of biomarkers. As EVs represent a way of capturing molecular information about the proteins inside of cells, EVs from biofluids could be used to better understand and diagnose disease from difficult to access organs such as the brain. This promise has led to increased interest in measuring EV proteins from both total EVs as well as brain-derived EVs isolated from the blood. However, the measurement of cargo proteins in EVs has been challenging because EVs are present at low levels and EV isolation methods are imperfect at separating EVs from free proteins. Thus, it is difficult to know whether a protein measured after EV isolation is truly inside EVs. In this study, we developed methods to measure whether a protein is inside EVs and quantify the ratio of a protein in EVs relative to total plasma. To achieve this, we combined a high-yield size exclusion chromatography (SEC) protocol with an optimized protease protection assay and Single Molecule Array (Simoa) digital ELISA assays for ultrasensitive measurement of proteins inside EVs. We applied these methods to analyze key proteins involved in neurodegenerative diseases: -synuclein, Tau, A{beta}40, and A{beta}42. We found that -synuclein and Tau are present in plasma EVs at a small fraction of the levels in total plasma, whereas A{beta}40 and A{beta}42 are undetectable in plasma EVs. This work provides a framework for determining the levels of proteins in EVs and represents an important step in the development of EV diagnostics for diseases of the brain, as well as other organs.

neuroscience↗

bioRxiv2023

The natural tannins oligomeric proanthocyanidins and punicalagin are potent inhibitors of infection by SARS-CoV-2 in vitro

The COVID-19 pandemic continues to infect people worldwide. While the vaccinated population has been increasing, the rising breakthrough infection persists in the vaccinated population. For living with the virus, the dietary guidelines to prevent virus infection are worthy of and timely to develop further. Tannic acid has been demonstrated to be an effective inhibitor of coronavirus and is under clinical trial. Here we found that two other members of the tannins family, oligomeric proanthocyanidins (OPCs) and punicalagin, are also potent inhibitors against SARS-CoV-2 infection with different mechanisms. OPCs and punicalagin showed inhibitory activity against omicron variants of SARS-CoV-2 infection. The water extractant of the grape seed was rich in OPCs and also exhibited the strongest inhibitory activities for viral entry of wild-type and other variants in vitro. Moreover, we evaluated the inhibitory activity of grape seed extractants (GSE) supplementation against SARS-CoV-2 viral entry in vivo and observed that serum samples from the healthy human subjects had suppressive activity against different variants of SARS-CoV-2 vpp infection after taking GSE capsules. Our results suggest that natural tannins acted as potent inhibitors against SARS-CoV-2 infection, and GSE supplementation could serve as healthy food for infection prevention. HighlightsO_LIOPCs and Punicalagin had inhibitory activity against omicron variants of SARS-CoV-2 infection. C_LIO_LIOPCs serve as a dual inhibitor of the viral Mpro and the cellular TMPRSS2 protease. C_LIO_LIPunicalagin possesses the most potent activity to suppress the Mpro and block the interaction of the viral spike protein and human ACE2. C_LIO_LIOPCs-enriched grape seed extractant exhibited inhibitory activities for viral entry of wild-type and other variants of SARS-CoV-2. C_LIO_LIThe daily intake of grape seed extractants may be able to prevent SARS-CoV-2 infection. C_LI

microbiology↗

bioRxiv2022

The antibacterial T6SS of Agrobacterium tumefacien promotes disease occurrence and influences crown gall microbiota composition

The type VI secretion system (T6SS) is deployed by many proteobacteria to secrete effector proteins into bacterial competitors for competition or eukaryotic cells for pathogenesis. Agrobacteria, a group of soil-borne phytopathogens causing crown gall disease on various plant species, deploys the T6SS to attack closely- and distantly-related bacterial species in vitro and in planta. Current evidence suggests that the T6SS is not essential for pathogenesis under direct inoculation but it remains unknown whether the T6SS influences natural disease incidence or the microbial community within crown galls (i.e., gallobiome). To address these two key questions, we established a soil inoculation method on wounded tomato seedlings that mimics natural infections and developed a bacterial 16S rRNA gene amplicon enrichment sequencing platform. By comparing the Agrobacterium wild-type strain C58 with two T6SS mutants, we demonstrate that the T6SS influences both disease occurrence and gallobiome composition. Based on multiple inoculation trials across seasons, all three strains could induce tumors but the mutants had significantly lower disease incidences. The season of inoculation played a more important role than the T6SS in shaping the gallobiome. The influence of T6SS was evident in summer, in which two Sphingomonas species and the family Burkhoderiaceae were enriched in the gallobiome induced by the mutants. Further in vitro competition and colonization assay demonstrated the T6SS-mediated antagonism to a Sphingomonas sp. R1 strain isolated from tomato rhizosphere in this study. In conclusion, this work demonstrates that the Agrobacterium T6SS promotes tumorigenesis in infection process and provides competitive advantages in gall-associated microbiota. IMPORTANCEThe T6SS is widespread among Proteobacteria and used for interbacterial competition by agrobacteria, which are soil inhabitants and opportunistic bacterial pathogens causing crown gall disease in a wide range of plants. Current evidence indicates that the T6SS is not required for gall formation when agrobacteria are inoculated directly on plant wounding sites. However, in natural settings, agrobacteria may need to compete with other bacteria in bulk soil to gain access to plant wounds and influence microbial community inside crown galls. The role of the T6SS in these critical aspects of disease ecology have remained largely unknown. In this study, we successfully developed a Soil Inoculation method coupled with Blocker-mediated enrichment of Bacterial 16S rRNA gene Amplicon Sequencing, named as SI-BBacSeq, to address these two important questions. We provided evidence that the T6SS promotes disease occurrence and influences crown gall microbiota composition by interbacterial competition.

microbiology↗

bioRxiv2021

Protein detection in blood with single-molecule imaging

The ability to identify and characterize individual biomarker protein molecules in patient blood samples could enable diagnosis of diseases at an earlier stage, when treatment is typically more effective. Single-molecule imaging offers a promising approach to accomplish this goal. However, thus far single-molecule imaging methods have only been used to monitor protein molecules in solutions or cell lysates, and have not been translated into the clinical arena. Furthermore, the detection limit of these methods has been confined to the picomolar (10-12 M) range. In many diseases, the circulating concentrations of biomarker proteins fall several orders of magnitude below this range. Here we describe Single-Molecule Augmented Capture (SMAC), a single-molecule imaging technique to visualize, quantify, and characterize individual protein molecules of interest down to the subfemtomolar (<10-15 M) range, even in complex biologic fluids. We demonstrate SMAC in a wide variety of applications with human blood samples, including the analysis of disease-associated secreted proteins, membrane proteins, and rare intracellular proteins. Using ovarian cancer as a model, a lethal malignancy in which high-grade disease is driven almost universally by alterations in the TP53 gene and frequently only diagnosed at a late, incurable stage, we found that mutant pattern p53 proteins are released into the blood in patients at an early stage in disease progression. SMAC opens the door to the application of single-molecule imaging in non-invasive disease profiling and allows for the analysis of circulating mutant proteins as a new class of highly specific disease biomarkers. The SMAC platform can be adapted to multiplex or high-throughput formats to characterize heterogeneous biochemical and structural features of circulating proteins-of-interest. One Sentence SummaryA single-molecule imaging approach detects individual disease-specific protein molecules, including mutant intracellular proteins, in blood samples.

biophysics↗

bioRxiv2020

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

BackgroundAccurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on their daily image analyses. MethodsBased on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC prediction/diagnosis using weakly labeled pathological whole slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, >14,680 WSIs, from >9,631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, U.S., and Germany. ResultsOur innovative AI tool was consistently nearly perfectly agreed with (average Kappa-statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multi-centers. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.981 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. ConclusionsThis first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. Hence, it will drastically alleviate the heavy clinical burden of daily pathology diagnosis, and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.

pathology↗

bioRxiv2018

AICAR induces apoptosis and inhibits migration of prostate cancer cells through an AMPK/mTOR-dependent pathway

AICAR (5-aminoimidazole-4-carbox-amide-1-{beta}-D-ribofuranoside), an AMP-activated protein kinase (AMPK) agonist, has demonstrated antitumor activities for several types of cancers. However, the activity of AICAR on the cell growth and metastasis of prostate cancer has not been extensively studied. Herein we examine the effects of AICAR on the cell growth and metastasis of prostate cancer cells, 22RV1 cells. Cell growth was performed by MTT assay and soft agar assay. Cell apoptosis was examined by Annexin V/PI staining and PARP cleavage Western blot. Cell migration was evaluated by wound-healing assay. The expression of EMT-related protein and the activity of the AMPK/ mTOR-dependent pathway were analyzed by Western blot. In addition, we also tested the effect of AICAR on the chemosensitivity to docetaxel using MTT assay. Our results indicated that AICAR inhibits cell growth, induces apoptosis, attenuates TGF-{beta}-induced cell migration and EMT-related protein expression, and enhances the chemosensitivity to docetaxel through regulating the AMPK/mTOR-dependent pathway. Collectively, these findings support AICAR as a potential therapeutic agent for the treatment of prostate cancer.

cancer biology↗

bioRxiv2018

Development and Application of a High-Content Virion Display Human GPCR Array

G protein-coupled receptors (GPCRs) comprise the largest membrane protein family in humans and can respond to a wide variety of ligands and stimuli. Like other multi-pass membrane proteins, the biochemical properties of GPCRs are notoriously difficult to study because they must be embedded in lipid bilayers to maintain their native conformation and function. To enable an unbiased, high-throughput platform to profile biochemical activities of GPCRs in native conformation, we individually displayed 315 human non-odorant GPCRs (>85% coverage) in the envelope of human herpes simplex virus-1 and immobilized on glass to form a high-content Virion Display (VirD) array. Using this array, we found that 50% of the tested commercial anti-GPCR antibodies (mAbs) is ultra-specific, and that the vast majority of those VirD-GPCRs, which failed to be recognized by the commercial mAbs, could bind to their canonical ligands, indicating that they were folded correctly. Next, we used the VirD-GPCR arrays to examine binding specificity of two known peptide ligands and recovered expected interactions, as well as new off-target interactions, three of which were confirmed with real-time kinetics measurements. Finally, we explored the possibility of discovering novel pathogen targets by probing VirD-GPCR arrays with live group B Streptococcus (GBS), a common Gram-positive bacterium causing neonatal meningitis. Using cell invasion assays and a mouse model of hematogenous meningitis, we showed that inhibition of one of the five newly identified GPCRs, CysLTR1, greatly reduced GBS penetration in brain-derived endothelial cells and in mouse brains. Therefore, our work demonstrated that the VirD-GPCR array holds great potential for high-throughput, unbiased screening for small molecule drugs, affinity reagents, and deorphanization.

pharmacology and toxicology↗

bioRxiv2018

Improved single-molecule localization precision in astigmatism-based 3D superresolution imaging using weighted likelihood estimation

Astigmatism-based superresolution microscopy is widely used to determine the position of individual fluorescent emitters in three-dimensions (3D) with subdiffraction-limited resolutions. This point spread function (PSF) engineering technique utilizes a cylindrical lens to modify the shape of the PSF and break its symmetry above and below the focal plane. The resulting asymmetric PSFs at different z-positions for single emitters are fit with an elliptical 2D-Gaussian function to extract the widths along two principle x- and y-axes, which are then compared with a pre-measured calibration function to determine its z-position. While conceptually simple and easy to implement, in practice, distorted PSFs due to an imperfect optical system often compromise the localization precision; and it is laborious to optimize a multi-purpose optical system. Here we present a methodology that is independent of obtaining a perfect PSF and enhances the localization precision along the z-axis. By utilizing multiple calibration images of fluorescent beads at varying z-planes and characterizing experimentally measured background distributions, we numerically approximated the probability of observing a certain signal in a given pixel from a single emitter at a particular z-plane. We then used a weighted maximum likelihood estimator (WLE) to determine the 3D-position of the emitter. We demonstrate that this approach enhances z-axis localization precision in all conditions we tested, in particular when the PSFs deviate from a standard 2D Gaussian model.

biophysics↗