Biology subjects

Wang, A. Y.

Publications and source records attributed to Wang, A. Y..

12 recordsLinked to original sources

bioRxiv2026

A One-Step Chemoselective Strategy for Hydroxymethylcytosine Sequencing in DNA and RNA

5-Hydroxymethylcytosine (5hmC) is a relatively stable chemical mark formed by oxidation of 5-methylcytosine in DNA, while its RNA counterparts, 5-hydroxymethylcytidine (hm5C) and 2'-O-methyl-5-hydroxymethylcytidine (hm5Cm), have recently emerged as potential regulators of post-transcriptional processes. Existing 5hmC enrichment methods rely on anti-bodies or enzymatic {beta}-glucosyltransferase labeling, are largely DNA-specific, and are not readily applicable to RNA. Here we report bisulfite-assisted labeling by thiol sequencing (BALT-seq), a one-step chemoselective strategy that installs a biotin-thioether handle directly onto hydroxymethylcytosine in DNA or RNA under mild acidic bisulfite conditions, without using enzymes. Mechanistic studies show that thiol capture of the bisulfite-activated 5hmC intermediate competes with canonical cytosine-5-methylenesulfonate formation, yielding a stable adduct that DNA polymerases bypass efficiently and that resists APOBEC-mediated deamination. In mouse embryonic stem cells, BALT-seq produces genome-wide 5hmC profiles highly concordant with 5hmC-Seal, TAB-seq, and oxBS-seq, recovers expected gene-body and chromatin-state enrichment, and extends to low-input cell-free DNA. On RNA, BALT-seq enriches hm5C/hm5Cm-containing transcripts more effectively than antibody-based hMeRIP and reveals structured modification landscapes across tRNA species and LINE/LTR repeat families. BALT-seq thus establishes a unified, enzyme-free chemical platform for hydroxymethylcytosine profiling across DNA, cell-free DNA, and RNA.

genomics↗

bioRxiv2026

SETD5 dysfunction in human astrocytes drives IL-6-mediated neuronal impairments via the JAK/STAT signaling pathway

Intellectual disability (ID) and autism spectrum disorder (ASD) are neurodevelopmental conditions marked by lifelong impairments in cognitive, motor, and social functions. Hundreds of genetic variants have been linked to these disorders, including mutations in chromatin regulators such as the SET-domain-containing protein 5 (SETD5) gene. Most studies linking SETD5 loss-of-function to ASD/ID have focused primarily on neurons. However, while SETD5 is highly expressed in astrocytes, its role in glia cells remains poorly understood. Here, we examine how dysfunction of SETD5 in human-induced pluripotent stem cell (hiPSC)-derived astrocytes affects neuronal physiology. We show that SETD5-deficient astrocytes have increased levels of extracellular reactive oxygen species (ROS), glutamate, and interleukins-6 and 8 (IL-6 and IL-8). Elevated astrocytic IL-6 exerts a non-cell autonomous harmful effect on healthy neurons. Using SETD5-deficient astrocytes as a screening platform, we identify the JAK/STAT pathway as an upstream regulator of abnormal IL-6 accumulation associated with SETD5 dysfunction. Accordingly, pharmacological inhibition of JAK-STAT signaling restores extracellular IL-6 to basal levels and partially rescues astrocyte morphology and neuronal deficits. Collectively, these findings highlight the JAK/STAT pathway as a key regulator of SETD5-mediated astrocytic function and suggest its potential as a therapeutic target for astrocytic-driven neuronal impairments in ASD and ID.

neuroscience↗

bioRxiv2024

Gag proteins encoded by endogenous retroviruses are required for zebrafish development

Transposable elements (TEs) make up the bulk of eukaryotic genomes and examples abound of TE-derived sequences repurposed for organismal function. The process by which TEs become coopted remains obscure because most cases involve ancient, transpositionally inactive elements. Reports of active TEs serving beneficial functions are scarce and often contentious due to difficulties in manipulating repetitive sequences. Here we show that recently active TEs in zebrafish encode products critical for embryonic development. Knockdown and rescue experiments demonstrate that the endogenous retrovirus family BHIKHARI-1 (Bik-1) encodes a Gag protein essential for mesoderm development. Mechanistically, Bik-1 Gag associates with the cell membrane and its ectopic expression in chicken embryos alters cell migration. Similarly, depletion of BHIKHARI-2 Gag, a relative of Bik-1, causes defects in neural crest development in zebrafish. We propose an "addiction" model to explain how active TEs can be integrated into conserved developmental processes.

developmental biology↗

bioRxiv2023

Specialized structure of neural population codes in parietal cortex outputs

Do cortical neurons that send axonal projections to the same target area form specialized population codes for transmitting information? We used calcium imaging in mouse posterior parietal cortex (PPC), retrograde labeling, and statistical multivariate models to address this question during a delayed match-to-sample task. We found that PPC broadcasts sensory, choice, and locomotion signals widely, but sensory information is enriched in the output to anterior cingulate cortex. Neurons projecting to the same area have elevated pairwise activity correlations. These correlations are structured as information-limiting and information-enhancing interaction networks that collectively enhance information levels. This network structure is unique to sub-populations projecting to the same target and strikingly absent in surrounding neural populations with unidentified projections. Furthermore, this structure is only present when mice make correct, but not incorrect, behavioral choices. Therefore, cortical neurons comprising an output pathway form uniquely structured population codes that enhance information transmission to guide accurate behavior.

neuroscience↗

bioRxiv2022

Incorporating natural language into vision models improves prediction and understanding of higher visual cortex

Advances in neural networks have been catalyzed by joint training on images and natural language, increased dataset sizes, and data diversity. We explored whether the same factors support similar improvements in predicting visual responses in the human brain. We used models pre-trained with Contrastive Language-Image Pre-training (CLIP) - which learns image embeddings that best match text embeddings of image captions from diverse, large-scale datasets - to study visual representations. We built voxelwise encoding models based on CLIP image features to predict brain responses to real-world images. ResNet50 with CLIP explained up to R2 = 79% of variance in individual voxel responses in held-out test data, a significant increase from models trained only with image/label pairs (ImageNet trained ResNet) or text (BERT). Comparisons across different model backbones ruled out network architecture as a factor in performance improvements. Comparisons across models that controlled for dataset size and data diversity demonstrated that language feedback along with data diversity in larger datasets are important factors in explaining neural responses in high-level visual brain regions. Visualizations of model embeddings and Principal Component Analysis (PCA) revealed that our models capture both global and fine-grained semantic dimensions represented within human visual cortex.

neuroscience↗

bioRxiv2022

The Ndc80-Cdt1-Ska1 complex constitute a minimal processive kinetochore-microtubule coupling unit

The Ndc80 kinetochore complex is essential for robust kinetochore-microtubule (k-MT) attachments during mitosis. Ndc80 has been shown to recruit the Ska1 complex to kinetochores, where Ska1 is thought to aid in k-MT coupling by Ndc80. Our previous work has shown that Cdt1, a DNA replication licensing factor, is a novel mitotic spindle-associated protein that is also recruited to kinetochores via Ndc80 and is required for stabilizing k-MT attachments. In this study, we developed auxin-induced degron (AID)-tagging to validate the previously demonstrated mitotic role of Cdt1. We demonstrate a direct interaction between Cdt1 and Ska1 that is essential for proper recruitment of Cdt1 to kinetochores and spindle microtubules. We find that Cdk1dependent phosphorylation of Cdt1 during mitosis is critical for Ska1-binding, consequently regulating the stabilization of metaphase k-MT attachments and normal mitotic progression. Total internal reflection fluorescence microscopy (TIR-FM) experiments reveal that Cdt1 synergizes with the Ndc80 and the Ska1 complexes for microtubule-binding. Further, we show that single Cdt1 molecules form diffusive tripartite complexes with Ndc80 and Ska1 that can processively track the ends of dynamic microtubules in vitro. Taken together our data identifies a minimal molecular unit responsible for bidirectional processive tip tracking of kinetochores.

cell biology↗

bioRxiv2022

Nucleation of the destruction complex on the centrosome accelerates degradation of β-catenin and regulates Wnt signal transmission

Wnt signal transduction is mediated by a protein assembly called the Destruction Complex (DC) made from scaffold proteins and kinases that are essential for transducing extracellular Wnt ligand concentrations to changes in nuclear {beta}-catenin, the pathways transcriptional effector. Recently, DC scaffold proteins have been shown to undergo liquid-liquid phase separation in vivo and in vitro providing evidence for a mesoscale organization of the DC. However, the mesoscale organization of DC at endogenous expression levels and how that organization could play a role in {beta}-catenin processing is unknown. Here we find that the native mesoscale structure is a dynamic biomolecular condensate nucleated by the centrosome. Through a combination of advanced microscopy, CRISPR-engineered custom fluorescent tags, finite element simulations, and optogenetic tools, that allow for independent manipulation of the biophysical parameters that drive condensate formation, we find that a function of DC nucleation by the centrosome is to drive efficient processing of {beta}-catenin by co-localizing DC components to a single reaction hub. We demonstrate that simply increasing the concentration of a single DC kinase onto the centrosome controls {beta}-catenin processing. This simple change in localization completely alters the fate of the Wnt-driven human embryonic stem cell differentiation to mesoderm. Our findings demonstrate the role of nucleators in dynamically controlling the activities of biomolecular condensates and suggest a tight integration between cell cycle progression and Wnt signal transduction.

cell biology↗

bioRxiv2020

Quantitative metaproteomics of patient fecal microbiota identifies host and microbial proteins associated with ulcerative colitis

Mass spectrometry-based metaproteomics technologies enable the direct observation of proteins within complex multi-organism environments. A major hurdle in mapping metaproteomic fragmentation spectra to their corresponding peptides is the need for large peptide databases encompassing all anticipated species contained within a biological sample. As we cannot predict the taxonomic composition of microbiomes a priori, we developed the ComPIL database which contains a comprehensive collection of 4.8 billion unique peptides from public sequencing repositories to enable our proteomics analyses. We analyzed fecal samples from ulcerative colitis (UC) patients using a tandem mass spectrometry (LC-MS/MS) workflow coupled to ComPIL in search of aberrant UC-associated proteins. We found 176 host and microbial protein groups differentially enriched between the healthy (control) or UC volunteer groups. Notably, gene ontology (GO) enrichment analysis revealed that serine-type endopeptidases are overrepresented in UC compared to healthy volunteers. Additionally, we demonstrate the feasibility of serine hydrolase chemical enrichment from fecal samples using a biotinylated fluorophosphate (FP) probe. Our findings illustrate that probe-susceptible hydrolases from hosts and microbes are likely active in the distal gut. Finally, we applied de novo peptide sequencing methods to our metaproteomics data to estimate the size of the "dark peptidome," the complement of peptides unidentified using ComPIL. We posit that our metaproteomics methods are generally applicable to future microbiota analyses and that our list of FP probe-enriched hydrolases may represent an important functionality to understanding the etiology of UC.

microbiology↗

bioRxiv2020

A computational network approach to identify predictive biomarkers and therapeutic combinations for anti-PD-1 immunotherapy in cancer

BackgroundDespite remarkable success, only a subset of cancer patients have shown benefit from the anti-PD1 therapy. Therefore, there is a growing need to identify predictive biomarkers and therapeutic combinations for improving the clinical efficacy. ResultsBased upon the hypothesis that aberrations of any gene that are close to MHC class I genes in the gene network are likely to deregulate MHC I pathway and affect tumor response to anti-PD1, we developed a network approach to infer genes, pathway, and potential therapeutic target genes associated with response to PD-1/PD-L1 checkpoint immunotherapies in cancer. Our approach successfully identified genes (e.g. B2M and PTEN) and pathways (e.g. JAK/STAT and WNT) known to be associated with anti-PD1 response. Our prediction was further validated by 5 CRISPR gene sets associated with tumor resistance to cytotoxic T cells. Our results also showed that many cancer genes that act as hubs in the gene network may drive immune evasion through indirectly deregulating the MHC I pathway. The integration analysis of transcriptomic data of the 34 TCGA cancer types and our prediction reveals that MHC I-immunoregulations may be tissue-specific. The signature-based score, the MHC I association immunoscore (MIAS), calculated by integration of our prediction and TCGA melanoma transcriptomic data also showed a good correlation with patient response to anti-PD1 for 354 melanoma samples complied from 5 cohorts. In addition, most targets of the 36 compounds that have been tested in clinical trials or used for combination treatments with anti-PD1 are in the top list of our prediction (AUC=0.833). Integration of drug target data with our top prediction further identified compounds that were recently shown to enhance tumor response to anti-PD1, such as inhibitors of GSK3B, CDK, and PTK2. ConclusionOur approach is effective to identify candidate genes and pathways associated with response to anti-PD-1 therapy, and can also be employed for in silico screening of potential compounds to enhances the efficacy of anti-PD1 agents against cancer.

bioinformatics↗

bioRxiv2019

Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity

Convolutional neural networks (CNNs) trained for object recognition have been widely used to account for visually-driven neural responses in both the human and primate brains. However, because of the generality and complexity of the task of object classification, it is often difficult to make precise inferences about neural information processing using CNN representations from object classification despite the fact that these representations are effective for predicting brain activity. To better understand underlying the nature of the visual features encoded in different brain regions of the human brain, we predicted brain responses to images using fine-grained representations drawn from 19 specific computer vision tasks. Individual encoding models for each task were constructed and then applied to BOLD5000--a large-scale dataset comprised of fMRI scans collected while observers viewed over 5000 naturalistic scene and object images. Because different encoding models predict activity in different brain regions, we were able to associate specific vision tasks with each region. For example, within scene-selective brain regions, features from 3D tasks such as 3D keypoints and 3D edges explain greater variance as compared to 2D tasks--a pattern that replicates across the whole brain. Using results across all 19 task representations, we constructed a \"task graph\" based on the spatial layout of well-predicted brain areas from each task. We then compared the brain-derived task structure with the task structure derived from transfer learning accuracy in order to assess the degree of shared information between the two task spaces. These computationally-driven results--arising out of state-of-the-art computer vision methods--begin to reveal the task-specific architecture of the human visual system.

neuroscience↗

bioRxiv2019

Disruption of prepulse inhibition is associated with severity of compulsive behavior and nucleus accumbens dopamine system changes in Sapap3 knockout mice

Obsessive compulsive disorder (OCD) is associated with disruption of sensorimotor gating, which may contribute to difficulties inhibiting intrusive thoughts and compulsive rituals. Neural mechanisms underlying these disturbances are unclear; however, striatal dopamine is implicated in regulation of sensorimotor gating and OCD pathophysiology. The goal of this study was to examine the relationships between sensorimotor gating, compulsive behavior, and striatal dopamine receptor levels in Sapap3 knockout mice (KOs), a widely used preclinical model system for OCD research. We found a trend for disruption of sensorimotor gating in Sapap3-KOs using the translational measure prepulse inhibition (PPI); however, there was significant heterogeneity in both PPI and compulsive grooming in KOs. Disruption of PPI was significantly correlated with a more severe compulsive phenotype. In addition, PPI disruption and compulsive grooming severity were associated with reduced dopamine D1 and D2/3 receptor density in the nucleus accumbens core (NAcC). Compulsive grooming progressively worsened in Sapap3-KOs tested longitudinally, but PPI disruption was first detected in high-grooming KOs at 7 months of age. Through detailed characterization of individual differences in OCD-relevant behavioral and neurochemical measures, our findings suggest that NAcC dopamine receptor changes may be involved in disruption of sensorimotor gating and compulsive behavior relevant to OCD.

neuroscience↗

bioRxiv2018

Triflic acid treatment enables LC-MS/MS analysis of insoluble bacterial biomass

The lysis and extraction of soluble bacterial proteins from cells is a common practice for proteomics analyses, but insoluble bacterial biomasses are often left behind. Here, we show that with triflic acid treatment, the insoluble bacterial biomass of Gram- and Gram+ bacteria can be rendered soluble. We use LC-MS/MS shotgun proteomics to show that bacterial proteins in the soluble and insoluble post-lysis fractions differ significantly. Additionally, in the case of Gram- Pseudomonas aeruginosa, triflic acid treatment enables the enrichment of cell envelope-associated proteins. Finally, we apply triflic acid to a human microbiome sample to show that this treatment is robust and enables the identification of a new, complementary subset of proteins from a complex microbial mixture.

systems biology↗