Mayar Ali

Reversible hypervascularization drives cognitive decline and blood-brain barrier damage during aging

The paper identifies a hypervascular, BBB-compromised state in aging mice linked to cognitive decline and shows pharmacological stabilization improves vascular and cognitive outcomes.

DISCO-seq: 3D single-cell transcriptomics of intact biological systems

DISCO-seq enables 3D single-cell transcriptomics of whole tissues and organisms by combining tissue-clearing chemistry with imaging and transcriptomic profiling.

LipiGo: A Versatile DNA-Lipid Nanoparticle Hybrid for Precision Drug Delivery

LipiGo is a DNA-lipid nanoparticle hybrid that enables efficient delivery of functional mRNA to non-hepatic tissues, particularly the spleen, through passive redistribution and active targeting.

Deep Learning and 3D Imaging Reveal Whole-Body Alterations in Obesity

This paper introduces MouseMapper, a deep learning tool combined with 3D imaging to analyze whole-body structural changes in obesity, revealing nerve and immune system alterations.

GraphCompass: Spatial metrics for differential analyses of cell organization across conditions

GraphCompass provides graph analysis methods to compare cell spatial organization across conditions using spatial omics data.

SARS-CoV-2 Spike Protein Accumulation in the Skull-Meninges-Brain Axis: Potential Implications for Long-Term Neurological Complications in post-COVID-19

This study shows SARS-CoV-2 spike protein accumulates in the skull-meninges-brain axis, causing brain cell death and long-term neurological effects.

Graph neural networks learn emergent tissue properties from spatial molecular profiles

This paper evaluates graph neural networks' ability to predict tissue-level phenotypes from spatial molecular data, finding that some phenotypes can be captured without spatial information and that overfitting limits representation learning.