Results 171 to 180 of about 130,285 (357)
Heart Failure and Ventricular Dysfunction in Patients With Single or Systemic Right Ventricles [PDF]
, 2002 Sanaz Piran +4 more
openalex +1 more source
PIEZO Force Sensing in Vascular Biology: An Explosion of New Knowledge, Concepts and Opportunity
Advanced Science, EarlyView.Knowledge of the remarkable mechanical force sensing and electrically transducing PIEZO1 and PIEZO2 channels is discussed across vascular biology and its cell types from the embryonic to adult stages in health, disease and old age. How the channels work, relate to other factors and signal for tissue responses to mechanical forces is debated.
David J Beech
wiley +1 more source
Morphological study of the distribution of Purkinje fibers in the ventricle of the heart
, 1977 Koichi Inoue
openalex +2 more sources
Original histologic findings in arteries of the right ventricle papillary muscles in human hearts [PDF]
, 2002 Christos E. Nerantzis +5 more
openalex +1 more source
Advanced Science, EarlyView.The TMEM43 ‐ P386S mutation causes arrhythmogenic right ventricular cardiomyopathy (ARVC) by mislocalizing itself from nuclear envelope (NE) to cytoplasm, disrupting lamin B2 (a novel TMEM43 interactor) localization, NE integrity and chromatin accessibility, causing hyper ‐ phosphorylation and reduced expression/clustering of ryanodine receptor type 2 (
Jiaxi Shen +23 more
wiley +1 more source
Mechanotransduction in Shaping Immunity: Pathways, Crosstalk, and Pathophysiological Relevance
Advanced Science, EarlyView.This review comprehensively summarizes the role of mechanotransduction in shaping immunity. It details how immune cells respond to biomechanical cues via mechanotransduction cascades and emphasizes the mechanical crosstalks within the immune microenvironment. The emerging significance of mechanoimmunology in both health and diseases is also highlighted.
Ruijiao Yan +7 more
wiley +1 more source
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
, 2017 In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge.
Humbert, Olivier +4 more
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