T. Wong

Adipose microenvironment promotes hypersialylation of ovarian cancer cells

This study shows that the adipose microenvironment increases sialylation in ovarian cancer cells, promoting tumor growth in immune-dependent settings.

Adipose-derived exosomal miR-421 targets CBX7 and promotes metastatic potential in ovarian cancer cells

This study identifies adipose-derived exosomal miR-421 as a regulator of CBX7 expression, promoting ovarian cancer metastasis by inducing epigenetic changes.

Administration of vaccine-boosted COVID-19 convalescent plasma to SARS-CoV-2 infected hamsters decreases virus replication in lungs and hastens resolution of the infection despite transiently enhancing disease and lung pathology.

This study shows that vaccine-boosted convalescent plasma reduces SARS-CoV-2 replication in hamsters but temporarily worsens disease and lung pathology.

Label-free and non-destructive pathology of human lung adenocarcinomas with ultraviolet single-plane illumination microscopy

This paper introduces MUSI, a rapid, label-free imaging method for lung adenocarcinomas, showing it can differentiate subtypes with resolution comparable to FFPE histology.

Diet induced obesity and type 2 diabetes drives exacerbated sex-associated disease profiles in K18-hACE2-mice challenged with SARS-CoV-2

This study shows that diet-induced obesity and type 2 diabetes in female mice worsen SARS-CoV-2 disease outcomes compared to males and normal diet mice.

DecentTree: Scalable Neighbour-Joining for the Genomic Era

DecentTree improves Neighbour-Joining phylogenetic inference scalability, handling large datasets up to 64,000 SARS-CoV-2 genomes faster than existing methods.

Differential neutralization and inhibition of SARS-CoV-2 variants by antibodies elicited by COVID-19 mRNA vaccines

This study evaluates how well antibodies from mRNA vaccines neutralize SARS-CoV-2 variants, finding that Omicron shows the most escape but booster doses maintain moderate neutralizing activity.

High-throughput, label-free and slide-free histological imaging by computational microscopy and unsupervised learning

This paper introduces CHAMP, a computational microscopy method for high-throughput, label-free histological imaging, and demonstrates its ability to generate virtually stained images through unsupervised learning.