Jonathan Z. Long

This study identifies MCT6 as an intestinal exporter of Lac-Phe, showing its role in metformin-induced weight loss and systemic metabolite regulation.

The paper identifies a conserved postprandial metabolite, pTOS, that links nutrient intake to energy balance through a gut-brain pathway in pythons and mice, with potential relevance to humans.

This study identifies a PTER inhibitor that reduces food intake and body weight in mice, linking PTER function to obesity treatment.

This paper develops vCATCH to map covalent drug targets across the entire mouse body, revealing new tissue and cell type engagements for afatinib and ibrutinib.

This study shows that N-acetylcarnosine treatment improves survival and delays age-related decline in multiple organ systems in female mice.

The paper identifies PIEZO2 as a key mechanosensitive ion channel in adipose sensory innervation and shows its role in regulating adipose tissue phenotypes.

This study identifies a secondary BHB metabolic pathway mediated by CNDP2, leading to BHB-amino acid metabolites that regulate energy balance in mice and humans.

This study identifies SLC17A1 and SLC17A3 as key transporters for Lac-Phe excretion in urine, showing genetic and functional associations in mice and humans.

This study identifies PTER as the taurine N-acetyltransferase/hydrolase, showing its role in regulating N-acetyltaurine levels and linking it to energy balance and metabolic phenotypes.

This study identifies Lac-Phe as a mediator of metformin's anti-obesity effects through experiments in mice and human cohorts.

This study maps the organism-wide secretome response to exercise in mice, identifying 200+ exercise-regulated protein pairs and uncovering anti-obesity and anti-diabetic roles of a liver-secreted proteoform.

This paper uses a mouse lemur transcriptomic atlas to identify new genes, splice junctions, and disease-related features, highlighting their relevance to primate biology and human disease.

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.