Julijana Ivanišević

This study shows that intra-uterine position affects lifelong hippocampal neurogenesis and anxiety-related behavior in mice by altering prenatal steroid exposure and neural development.

The paper investigates BLTP1's role in neocortical lamination by analyzing patients and mouse models, finding lipid transport defects cause structural brain abnormalities.

This study identifies niche-specific chromatin and metabolic states in adult mouse neural stem cells that influence their neuronal fate potential.

The paper shows that Pus7 mutations reduce tRNA-Asp levels, activating the integrated stress response and glycolytic reprogramming, which contributes to aggressive behavior.

The paper identifies genes and metabolic regulators of nucleotide synthesis using uridine salvage and CRISPR-Cas9 screening, revealing NUDT5's role in maintaining nucleotide balance and its impact on chemotherapy resistance.

This study shows that Urolithin A improves mitochondrial function and cardiac health in aging and heart failure models.

This study shows CDK4 inhibition in TNBC cells reduces apoptosis sensitivity and disrupts mitochondrial calcium signaling through MERCs, contributing to resistance to CDK4/6 inhibitors.

The paper identifies FBXW7's role in relieving c-MYC repression of pyruvate carboxylase to enhance metabolic flexibility in glutamine-limited conditions.

This study shows that LPA16:0, derived from platelets, reduces adult neurogenesis and stress resilience in anxiety disorders by activating LPA1 receptors.

This study quantifies sialic acid and its precursors in skin mucus of clownfish and damselfish to test if their absence explains protection from anemone nematocysts.

This study identifies a cis-regulatory polymorphism in fiz that contributes to polygenic adaptation to malnutrition in Drosophila melanogaster by modulating ecdysone oxidase activity and larval growth.

The paper introduces dbnorm, an R package to visualize and correct signal drift in metabolomics data across batches, improving the detection of true biological variation.

The paper integrates genome-scale metabolic modeling with transcriptomics and exometabolomics to predict bacterial metabolic responses and validate them experimentally in Pseudomonas veronii.