Biology subjects

So, T. Y.

Publications and source records attributed to So, T. Y..

3 recordsLinked to original sources

bioRxiv2024

Tissue-resident regulatory T cells exert dualistic anti-tumour and pro-repair function in the exocrine pancreas

Regulatory T cells are fundamentally important for maintaining immune homeostasis, and their potent immune-suppressive roles make them attractive immunotherapeutic targets in cancer. Recent work suggests potential functions of tissue-resident Tregs (trTregs) in tissue-repair and epithelial cell homeostasis. Here, we describe a rare population of trTreg in the exocrine pancreas. We show that these cells share common features of trTregs, including expression of the IL-33 receptor ST2 and production of the epithelial growth factor Amphiregulin, and display an oligoclonal T cell receptor repertoire. Using a mouse model of acute pancreatitis, we show that pancreatic Tregs rapidly expand upon release of IL-33 by fibroblasts. Moreover, depletion of Tregs after initiation of pancreatic injury impairs the regeneration of the exocrine parenchyma. This effect is due, in part, through a direct effect of Tregs on acinar cell proliferation. Finally, we show that transient Treg depletion in established orthotopic pancreatic tumours leads to tumour rejection yet provokes long-lasting damages to surrounding exocrine parenchyma. In all, our results demonstrate the tissue-repair capacity of pancreatic Tregs, and highlight a dualistic role of these cells in the pancreatic tumour ecosystem, with their harmful immune-suppressive function in the tumour coupled to a beneficial tissue-repair function in the surrounding tissue.

immunology↗

bioRxiv2021

Performance-optimized neural networks as an explanatory framework for decision confidence

Previous work has sought to understand decision confidence as a prediction of the probability that a decision will be correct, leading to debate over whether these predictions are optimal, and whether they rely on the same decision variable as decisions themselves. This work has generally relied on idealized, low-dimensional models, necessitating strong assumptions about the representations over which confidence is computed. To address this, we used deep neural networks to develop a model of decision confidence that operates directly over high-dimensional, naturalistic stimuli. The model accounts for a number of puzzling dissociations between decisions and confidence, reveals a rational explanation of these dissociations in terms of optimization for the statistics of sensory inputs, and makes the surprising prediction that, despite these dissociations, decisions and confidence depend on a common decision variable.

neuroscience↗

bioRxiv2020

Between-subject correlation of heart rate variability predicts movie preferences

We introduce a novel and simple method for assessing audiences emotional responses to audiovisuals (e.g. films). Viewers (N=21) watched movies and TV commercials from different genres while wearing photoplethysmography (PPG) optic sensors on their wrists. Heart rate variability (HRV) synchrony was observed among the audience. Based on this between-subject synchrony measure, we identified emotionally arousing segments from the materials. New participants (N=24; N=16) were then invited to watch these identified segments along with some randomly selected segments as control; they reported that the former was more engaging (effect size w=.67; w=.5). This finding was confirmed in an online study with a larger cohort (N=300). While some specific effects varied depending on movie genre or gender, HRV-based editing generally performed better than the control. These findings suggest that HRV synchrony can be used as a new tool for audience psychology, and potentially also for automatically creating short trailers out of movies in a principled manner while taking into account the human perspective.

neuroscience↗