The novel cue-induced analgesia paradigm allowed a compelling identification of a brainstem circuit element, i.e., somatostatin-expressing neurons within the ventrolateral periaqueductal grey that ...

Antiretroviral therapy (ART) initiated in the acute phase of HIV infection (AHI) results in a smaller viral reservoir. However, the impact of early HIV-specific T-cell responses on long-term reservoir ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

This valuable manuscript investigates the localisation of nutrient receptors in bloodstream stage trypanosomes, with implications for both nutrient uptake and immune evasion. Results after direct ...

Experiments with tools designed to detect DNA damage reveal unique and conserved features of telomeres in cancer cells.

The enzyme arginase-II has an important role in cardiac aging, and blocking it could help hearts stay young longer.

This study provides important findings on the neural circuits underlying dishabituation of the olfactory avoidance response in Drosophila. The data as presented provide solid evidence that the ...

The potential of repurposing cipargamin for treating Babesia species offers both theoretical advancements and practical applications in combating parasitic infections.

Fingertip tactile neurons collectively encode the skin's viscoelastic state alongside current touch, potentially enabling the brain to better interpret forces during manipulation.

This valuable study presents a novel approach to enhance the therapeutic potential of mesenchymal stromal cells (MSCs) by genetically modifying their glycogen synthesis pathway, resulting in increased ...

This valuable study concerns a model for transgenerational epigenetic inheritance, the learned avoidance by C. elegans of the PA14 pathogenic strain of Pseudomonas aeruginosa. A recent study ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...