Ismail Sebina

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.

A maternal high-fat diet predisposes to infant lung disease via increased neutrophil-mediated IL-6 trans-signaling

This study shows that a maternal high-fat diet increases neonatal systemic inflammation and predisposes to infant lung disease via neutrophil-mediated IL-6 trans-signaling.

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.