Tao Wang

The Endothelial Cell-Expressed Prion Protein Prnd/Doppel Promotes Neovascularization and Long-term Recovery after Ischemic Stroke

This study shows that Prnd/Doppel in endothelial cells promotes vascular remodeling and long-term recovery after stroke, improving neuronal survival and reducing inflammation.

FXR2 Promotes Autophagic Clearance of Sindbis Virus Capsid and Protects Against Viral Encephalitis

This study identifies FXR2 as a mediator of autophagy that clears Sindbis virus capsid and protects against viral encephalitis by reducing viral protein toxicity.

An in situ generated CAR-M with IFNg and negative dominance Sirpa isoform augments hepatocellular carcinoma immunotherapy

This paper develops a novel CAR-M targeting GPC3 with IFN-gamma and SIRPECD to enhance anti-tumor activity in hepatocellular carcinoma.

An Interpretable Multi-instance Learner Decodes Cellular Recruitment from Spatially Resolved Transcriptomics

This study introduces a deep learning model called spacer to analyze spatially resolved transcriptomics data, revealing novel insights into cellular recruitment mechanisms in tumors and heart tissue during myocarditis.

GlialCAM Cytoplasmic Signaling in Oligodendrocytes and Astrocytes is Essential for White Matter Homeostasis in the Brain

This study investigates the role of GlialCAM's cytoplasmic tail in white matter homeostasis using a mutant mouse model, revealing defects in ECM remodeling and glial activation.

g.nome, A Transparent Bioinformatics Pipeline that Enables Differential Expression and Alternative Splicing Analysis by Non-Computational Biologists

Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data

The paper introduces a Bayesian framework to map cell-cell interactions from spatial transcriptomics data, revealing new biological insights in cancer and immune responses.

IGFBP2 expressing midlobular hepatocytes preferentially contribute to liver homeostasis and regeneration

This study shows that IGFBP2-expressing midlobular hepatocytes contribute to liver homeostasis and regeneration after injury or fasting.

Comparative Analysis of Dimension Reduction Methods for Cytometry by Time-of-Flight Data

This paper benchmarks 21 dimension reduction methods on CyTOF data, finding SAUCIE, SQuaD-MDS, and scvis as top performers with different strengths.

Arid1a loss potentiates pancreatic β-cell regeneration through activation of EGF signaling

This study shows that Arid1a loss enhances pancreatic β-cell regeneration by activating EGF signaling, protecting against diabetes.

Image-based quantification of histological features as a function of spatial location using the Tissue Positioning System

The paper introduces a deep-learning method called TPS to quantify zonal gene expression patterns in tissues like the liver, showing it can detect differences between strains, ages, and disease states.

Tumor Neoantigenicity Assessment with CSiN Score Incorporates Clonality and Immunogenicity to Predict Immunotherapy Outcomes

The paper introduces the CSiN score to predict immunotherapy outcomes by assessing tumor neoantigen quality through clonality and immunogenicity, showing improved performance over existing methods.

SCINA: Semi-Supervised Analysis of Single Cells in silico

SCINA is a semi-supervised model for analyzing scRNA-Seq and flow cytometry data, improving accuracy and efficiency over unsupervised methods by leveraging gene signatures.

RISC: robust integration of single-cell RNA-seq datasets with different extents of cell cluster overlap

RISC integrates scRNA-seq datasets with overlapping cell clusters using PCR, improving accuracy in datasets with similar cell types but distinct functional states.

A community-based collaboration to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer

This paper presents a crowdsourced challenge to predict early discontinuation of docetaxel in mCRPC patients using clinical data from multiple trials, finding that ensemble models outperform individual models.