Viscosity & SO-sensitive dual colorimetric effect fluorescent sensor enabled imaging detection within plant onion and biological system.

The biological microenvironment includes important parameters such as viscosity, polarity, temperature, oxygen content and pH. In particular, abnormal cell viscosity is associated with the development of major diseases. Sulphur dioxide (SO) serves not only as an essential atmospheric pollutant but also an influential signalling molecule in biological cells, predisposing individuals to increased respiratory disease.

Effect of different substituents on the fluorescence properties of precursors of synthetic GFP analogues and a polarity-sensitive lipid droplet probe with AIE properties for imaging cells and zebrafish.

The green fluorescent protein (GFP) is a purely natural specialty protein that has been widely used to design synthetic fluorescent probes. In the present work we designed and synthesized a series of fluorescent compounds akin to GFP precursors by a one-step method, and investigated the luminescence properties of the fluorescent compounds by varying the substituents. We presented the first systematic summary of the photophysical data including extinction coefficients and fluorescence quantum yields for this class of fluorescent dyes.

Viscosity-Sensitive Solvatochromic Fluorescent Probes for Lipid Droplets Staining.

Lipid droplets (LDs) are simple intracellular storage sites for neutral lipids and exhibit important impact on many physiological processes. For example, the changes in the polar microenvironment inside LDs could affect physiological processes, such as lipid metabolism and storage, protein degradation, signal transduction, and enzyme catalysis. Herein, a new fluorescent chemo-sensor (Couoxo-LD) was formulated by our molecular design strategy.

A novel and stable fluorescent probe for tracking Hg with large Stokes shift and its application in cell imaging.

Giving the fact that mercury ions (Hg) is highly toxic, migratory and bioaccumulative and even very small amounts of mercury can cause serious damage to health, resulting in many diseases, such as abdominal pain, renal failure, nervous system damage. The content of mercury in drinking water quality standard of our country has been strictly limited. Therefore, it is of good research interest to develop a stable fluorescent probe capable of detecting the presence of mercury in biological cells.

A collagen hydrogel loaded with HDAC7-derived peptide promotes the regeneration of infarcted myocardium with functional improvement in a rodent model.

Myocardial infarction (MI) leads to the loss of cardiomyocytes, left ventricle (LV) dilation, and cardiac dysfunction, eventually developing into heart failure. Most of the strategies for MI therapy require biomaterials that can support tissue regeneration. In this study, we hypothesized that the extracellular matrix (ECM)-derived collagen I hydrogel loaded with histone deacetylase 7 (HDAC7)-derived-phosphorylated 7-amino-acid peptide (7Ap) could restrain LV remodeling and improve cardiac function after MI.

Composite Hydrogel Modified by IGF-1C Domain Improves Stem Cell Therapy for Limb Ischemia.

Stem cell treatment for critical limb ischemia yields a limited therapeutic effect due to cell loss and dysfunction caused by local ischemic environment. Biomimetic scaffolds emerge as ideal cell delivery vehicles for regulating cell fate via mimicking the components of stem cell niche. Herein, we prepared a bioactive hydrogel by mixing chitosan and hyaluronic acid that is immobilized with C domain peptide of insulin-like growth factor 1 (IGF-1C) and examined whether this hydrogel could augment stem cell survival and therapeutic potential.

Finite Difference Micromagnetic Solvers with the Object Oriented MicroMagnetic Framework (OOMMF) on Graphics Processing Units.

A micromagnetic solver using the Finite Difference method on a Graphics Processing Unit (GPU) and its integration with the Object Oriented MicroMagnetic Framework (OOMMF) are presented. Two approaches for computing the magnetostatic field accelerated by the Fast Fourier Transform (FFT) are implemented. The first approach, referred to as the tensor approach, is based on the tensor spatial convolution to directly compute the magnetostatic field from magnetic moments.