F. Obata

A Nonsecretory Antimicrobial Peptide Mediates Inflammatory Organ Damage in Drosophila Renal Tubules

This study identifies Attacin-D as a nonsecretory antimicrobial peptide that mediates immune-induced organ damage in Drosophila renal tubules upon Imd pathway activation.

Epidermal tyrosine catabolism is critical for metabolic homeostasis and survival against high-protein diets in Drosophila

The paper shows that Drosophila epidermis upregulates tyrosine catabolism via the AMPK-FoxO axis to adapt to high-protein diets, ensuring metabolic homeostasis and survival.

Early-adult methionine restriction reduces methionine sulfoxide and extends lifespan in Drosophila

This study shows that methionine restriction during early adulthood extends lifespan in Drosophila by reducing oxidatively-damaged methionine through MsrA induction.

Recognition of commensal bacterial peptidoglycans defines Drosophila gut homeostasis and lifespan

This study shows that specific bacterial peptidoglycans from Acetobacter persici shorten Drosophila lifespan and increase intestinal stem cell proliferation via gut receptors, while also enhancing stress resistance.

Super-resolution vibrational imaging based on photoswitchable Raman probe

This paper introduces RESORT microscopy using photoswitchable Raman probes to achieve super-resolution vibrational imaging of live cells with high chemical specificity and spatial resolution.

Stx2 Induces Differential Gene Expression by Activating Several Pathways and Disturbs Circadian Rhythm Genes in the Proximal Tubule.

This study identifies Stx2-induced differential gene expression and circadian rhythm disruption in proximal tubules, linking these changes to renal dysfunction.

The sugar-responsive enteroendocrine neuropeptide F regulates lipid metabolism through glucagon-like and insulin-like hormones in Drosophila melanogaster

This study identifies Neuropeptide F (NPF) in Drosophila as a sugar-responsive incretin-like hormone that regulates lipid metabolism via glucagon-like and insulin-like hormones.

A Machine Learning Model of Microscopic Agglutination Test for Diagnosis of Leptospirosis

This paper develops a machine learning model to automate the Microscopic Agglutination Test (MAT) for leptospirosis diagnosis by improving classification accuracy using wavelet coefficient histograms.