This paper reviews the technologies that have been invented in the last few years on high-throughput phenotyping, imaging, screening, and related techniques using microfluidics. The review focuses on the technical challenges and how microfluidics can help to solve these existing problems, specifically discussing the applications of microfluidics to multicellular model organisms. The challenges facing this field include handling multicellular organisms in an efficient manner, controlling the microenvironment and precise manipulation of the local conditions to allow the phenotyping, screening, and imaging of the small animals. Not only does microfluidics have the proper length scale for manipulating these biological entities, but automation has also been demonstrated with these systems, and more importantly the ability to deliver stimuli or alter biophysical/biochemical conditions to the biological entities with good spatial and temporal controls. In addition, integration with and interfacing to other hardware/software allows quantitative approaches. We include several successful examples of microfluidics solving these high-throughput problems. The paper also highlights other applications that can be developed in the future.
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http://dx.doi.org/10.1039/b927258e | DOI Listing |
Neuropathol Appl Neurobiol
February 2025
Department of Neurology, Neuromuscular Diseases Unit, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Sant Pau (IR Sant Pau), Barcelona, Spain.
Aims: Sarcoendoplasmic reticulum Ca-ATPase 2 (SERCA2), encoded by ATP2A2, is a key protein involved in intracellular Ca homeostasis. The SERCA2a isoform is predominantly expressed in cardiomyocytes and type I myofibres. Variants in this gene are related to Darier disease, an autosomal dominant dermatologic disorder, but have never been linked to myopathy.
View Article and Find Full Text PDFCardiol Res Pract
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular Institute, Tehran, Iran.
Nondilated left ventricular cardiomyopathy (NDLVC) is a newly defined category of cardiomyopathy. We sought to evaluate and compare the phenotype of NDLVC with DCM using cardiac magnetic resonance (CMR) imaging and to investigate the prognostic significance of these conditions. One hundred and fifty patients suspected of having cardiomyopathy referred for CMR were recruited.
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
January 2025
Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico 155, Rome 00161, Italy.
Aims: Outcome in pulmonary arterial hypertension (PAH) is determined by right ventricular (RV) function adaptation to increased afterload. Echocardiography is easily available to assist bedside evaluation of the RV. However, no agreement exists about the feasibility and most relevant measurements.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
November 2024
Department of Psychology, Palo Alto University, Palo Alto, CA, United States.
Introduction: Autism Spectrum Disorder (ASD) is characterized by deficits in social cognition, self-referential processing, and restricted repetitive behaviors. Despite the established clinical symptoms and neurofunctional alterations in ASD, definitive biomarkers for ASD features during neurodevelopment remain unknown. In this study, we aimed to explore if activation in brain regions of the default mode network (DMN), specifically the medial prefrontal cortex (MPC), posterior cingulate cortex (PCC), superior temporal sulcus (STS), inferior frontal gyrus (IFG), angular gyrus (AG), and the temporoparietal junction (TPJ), during resting-state functional magnetic resonance imaging (rs-fMRI) is associated with possible phenotypic features of autism (PPFA) in a large, diverse youth cohort.
View Article and Find Full Text PDFMol Imaging Biol
January 2025
Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Purpose: We aim to perform radiogenomic profiling of breast cancer tumors using dynamic contrast magnetic resonance imaging (MRI) for the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) genes.
Methods: The dataset used in the current study consists of imaging data of 922 biopsy-confirmed invasive breast cancer patients with ER, PR, and HER2 gene mutation status. Breast MR images, including a T1-weighted pre-contrast sequence and three post-contrast sequences, were enrolled for analysis.
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