T. Tomita

A Toxoplasma gondii O-glycosyltransferase that modulates bradyzoite cyst wall rigidity is structurally and functionally distinct from host homologues

This study identifies and characterizes a Toxoplasma gondii O-glycosyltransferase, T.gondii-GalNAc-T3, revealing structural and functional differences from host homologues and identifying potential drug targets for parasitic diseases.

A red fluorescent genetically encoded biosensor for extracellular L-lactate

The paper develops a red fluorescent biosensor for extracellular L-lactate, addressing spectral overlap issues of previous green biosensors.

WDR82 mediated H3K4me3 is associated with tumor proliferation and therapeutic efficacy in pediatric high-grade gliomas

The paper shows that WDR82-mediated H3K4me3 promotes tumor proliferation and affects therapeutic response in pediatric high-grade gliomas.

Dense granule protein, GRA64 interacts with host cell ESCRT proteins during Toxoplasma gondii infection

This study identifies GRA64, a Toxoplasma gondii dense granule protein that interacts with host ESCRT proteins, and shows its role in intracystic vesicle formation during chronic infection.

BORCS6 is involved in the enlargement of lung lamellar bodies in Lrrk2 knockout mice

The paper investigates the role of LRRK2 and BORCS6 in lung lamellar body morphology using mouse models and cell cultures, finding that BORCS6 deficiency leads to enlarged lamellar bodies.

Toxoplasma gondii PPM3C, a secreted protein phosphatase, affects parasitophorous vacuole effector export

This study identifies TgPPM3C, a secreted phosphatase in Toxoplasma gondii, and shows it regulates effector export and host c-Myc induction by modulating phosphorylation of proteins like GRA16.

Suppression of amyloid-β secretion from neurons by cis-9, trans-11-octadecadienoic acid, an isomer of conjugated linoleic acid

This study shows that c9,t11 CLA reduces amyloid-beta production in neurons by altering BACE1 and APP localization, potentially protecting against neurodegeneration.

A Supervised Statistical Learning Approach For Accurate Legionella pneumophila Source Attribution During Outbreaks

This paper develops a statistical learning method to accurately attribute Legionella pneumophila outbreaks by analyzing genomic data and comparing it to epidemiological data.