Gabrielle Therese Belz

bgnorm: A Generative Statistical Framework for Background Correction, Normalisation, and Quality Control in Multiplex Spatial Proteomics

bgnorm improves signal separation and marker positivity classification in multiplex spatial proteomics by addressing technical variation through background correction, normalization, and quality control.

SM3DD with Segmented PCA: A Comprehensive Method for Interpreting 3D Spatial Transcriptomics

The paper introduces SM3DD, a 3D spatial transcriptomics analysis method, and finds differences in transcript distances between normal and SARS-CoV-2 patient lung tissues.

RUNX2 is a cell-intrinsic brake on Th17 pathogenicity driven by neutrophil extracellular traps

This study shows RUNX2 suppresses Th17 pathogenicity in MS and EAE by inhibiting neutrophil extracellular trap-driven Th17 priming.

Whole transcriptome profiling of placental pathobiology in SARS-CoV-2 pregnancies identifies placental dysfunction signatures

This study uses spatial transcriptomics to identify placental dysfunction signatures in SARS-CoV-2 infected pregnancies, revealing altered gene expression related to hypoxia, oxidative stress, and preeclampsia-like pathways.

A robust Platform for Integrative Spatial Multi-omics Analysis to Map Immune Responses to SARS-CoV-2 infection in Lung Tissues

This paper develops a spatial multi-omics platform to analyze immune responses in SARS-CoV-2-infected lung tissues, revealing macrophage infiltration and spatial heterogeneity in cytokine and interferon signaling.