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Lipopeptide ligands captured by MHC class I molecules undergo dynamic conformational changes that affect their antigenic strength

The role of DNAJC3 in enhancing glioma progression and regulating the tumor immune microenvironment

Noncanonical lipooligosaccharide assembly in Acinetobacter baumannii is mediated by the glycosyltransferases KdoT and GnaT

MRPL47 deficiency drives mitochondrial dysfunction via ROS-p38-p21 signaling in non-small cell lung cancer

Biopharma dealmaking in 2025

A cell-specific computational framework reveals a pan-cancer hypoxia signature predicting overall survival and ICI response

2025 FDA approvals: volume maintained, but value remains below average

A career in bioactive lipids

Redirecting mast cells for antigen-specific cancer immunotherapy

Age-dependent topoisomerase I depletion alters recruitment of rDNA silencing complexes

Lilly pays US$1.2 billion for Ventyx and its oral anti-inflammatories

Epitope-specific antibodies can distinguish between soluble huntingtin exon-1 and its diverse cellular aggregates

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Activation of stimulator of interferon genes (STING) and inhibition of vascular endothelial growth factor receptor (VEGFR) by telatinib induce antitumor activity

Kinase inhibitors trigger target degradation

GRIA1 regulates TGN export and secretion of Sonic hedgehog

Boosting CAR T cell efficacy

Targeting the protein–protein interaction between the CDC37 cochaperone and client kinases by an allosteric RAF dimer breaker

Computational single-neuron mechanisms of visual object coding in the human temporal lobe

Abstract Understanding how the human brain encodes visual objects involves deciphering the neural computations and circuits in the temporal lobe. Here, we recorded intracranial EEG from the human ventral temporal cortex (VTC) and medial temporal lobe (MTL), as well as single-neuron activity in the MTL, to investigate the computational mechanisms of neural object coding. The VTC exhibited axis-based feature coding, and a neural feature space could be constructed using VTC neural axes, within which visual objects clustered according to high-level categorical relationships. Importantly, MTL neurons encoded receptive fields within this VTC neural feature space, exhibiting selective responses to objects that shared perceptual and conceptual similarities. This computational framework, therefore, explains how dense, feature-based representations in the VTC are transformed into sparse, high-level representations in the MTL. We further validated our findings using an additional dataset with different stimuli. Notably, we uncovered the physiological basis of this computational framework by demonstrating VTC-MTL interactions at multiple levels. Together, our neural computational framework provides a mechanistic understanding of the neural processes underlying object recognition.

Innate immune receptor agonist for cancer immunotherapy