Benjamin B. Bartelle

This study shows that systemic LPS induces a coordinated sickness state in female BALB/c mice, linking peripheral inflammation with metabolic, redox, neuronal, and behavioral changes.

The paper introduces a nanoprobe for noninvasive MRI mapping of cerebrovascular inflammation after traumatic brain injury and shows its correlation with endothelial activation.

The paper creates a microglia forebrain assembloid to study human brain development and neuroimmune interactions, showing microglia's role in cortex formation and metabolic changes.

The paper compares differential expression and co-expression network analysis for microglia transcriptomics, finding co-expression analysis better identifies functional ontologies.

The paper introduces SurPhACE, a platform that evolves nanobodies in prokaryote systems by combining surface and phage display, achieving high throughput and efficient mutation turnover.

This study shows maternal obesity programs intestinal stem cells through an IL-17A/PPAR axis, increasing cancer risk in offspring.

This study shows that O-GlcNAcylation regulates PPAR-driven metabolic programming in intestinal stem cells by linking dietary metabolism to transcriptional control.

The paper shows diet-induced chromatin changes in intestinal stem cells persist even after diet normalization and influence stem cell behavior.

This study shows that physiologic glucose and oxygen levels influence human cortical development by altering metabolic states and cell fate decisions in organoids.

This paper introduces a GPU-accelerated framework for processing 3D multiplexed RNA-FISH data, quantifies information loss from axial sampling, and improves post-mortem sample quality.

The paper introduces ccAFv2, a high-resolution cell cycle classifier for scRNA-seq data, which outperforms existing methods and classifies six cell cycle states and a quiescent-like G0 state.

The paper introduces sparse representation learning to derive biological features from the Allen Mouse Brain Atlas, preserving gene weights and improving interpretability.

This paper introduces a genetic probe to selectively image neural circuits in rats using fMRI, revealing diverse projection sources to the striatum and informing a model of striatal function.