Preparation and Performance of Fluorescein Isothiocyanate⁃Labeled Fluorescent Starch and Polyvinyl Alcohol for Warp Sizing

In order to solve the problems of low accuracy and poor variety adaptability of the current measurement method of the permeability and coating property of sizing paste in textile industry, taking starch and polyvinyl alcohol(PVA) as the representatives of the most commonly used textile sizes, various concentrations of fluorescent molecules fluorescein isothiocyanate(FITC) were used to label starch and PVA to prepare fluorescein(F)-starch and F-PVA fluorescent sizes with different degrees of labeling(DLs) for the first time, respectively. Then the starch and PVA derivatives were employed to size pure cotton warp yarns. After preparing the sections of the sized yarns, the permeability and coating percentage of starch and PVA paste to the yarns were calculated by using a fluorescence microscope and the Photoshop software, respectively. The results demonstrate that F-starch and F-PVA with appropriate DL of 0.791% and 0.161%, respectively, exhibit good fluorescence property and similar sizing performance to the sizing performance of unlabeled starch and PVA. It is considered that fluorescence labeling of sizing agents with fluorescein units can provide an innovative way for the accurate determination of the permeability and coating property of sizing paste to warp yarns.

Construction of bicistronic green fluorescent protein labeled pSELECT GFPzeo human bone morphogenetic protein 2 eukaryotic expression vector

Objective To construct green fluorescent protein (GFP)-labeled pSELECT-GFP zeohBMP2 eukaryotic expression vector.Methods The encoding fragment of hBMP2 gene was obtained from a recombinant plasmid pcDNA3.1/CT-hBMP2 by using polymerase

Visualization of integrin molecules by fluorescence imaging and techniques

Integrin molecules are transmembraneαβheterodimers involved in cell adhesion,trafficking,and signaling.Upon activation,integrins undergo dynamic conformational changes that regulate their affinity to ligands.The physiological functions and activation mechanisms of integrins have been heavily discussed in previous studies and reviews,but the fluorescence imaging techniques-which are powerful tools for biological studies-have not.Here we review the fluorescence labeling methods,imaging techniques,as well as Förster resonance energy transfer assays used to study integrin expression,localization,activation,and functions.

利用定量单病毒示踪技术探究SARS-CoV-2与细胞膜融合动态过程

Viral envelope fusion with the host plasma membrane(PM)for genome release is a hallmark step in the life cycle of many enveloped viruses.This process is regulated by a complex network of biomolecules on the PM,but robust tools to precisely elucidate the dynamic mechanisms of virus-PM fusion events are still lacking.Here,we developed a quantitative single-virus tracking approach based on highly efficient dual-color labelling of viruses and batch trajectory analysis to achieve the spatiotemporal quantification of fusion events.This approach allows us to comprehensively analyze the membrane fusion mechanism utilized by pseudotyped severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)at the singlevirus level and precisely elucidate how the relevant biomolecules synergistically regulate the fusion process.Our results revealed that SARS-CoV-2 may promote the formation of supersaturated clusters of cholesterol to facilitate the initiation of the membrane fusion process and accelerate the viral genome release.

Virtual Fluorescence Translation for Biological Tissue by Conditional Generative Adversarial Network

Fluorescence labeling and imaging provide an opportunity to observe the structure of biological tissues,playing a crucial role in the field of histopathology.However,when labeling and imaging biological tissues,there are still some challenges,e.g.,time-consuming tissue preparation steps,expensive reagents,and signal bias due to photobleaching.To overcome these limitations,we present a deep-learning-based method for fluorescence translation of tissue sections,which is achieved by conditional generative adversarial network(cGAN).Experimental results from mouse kidney tissues demonstrate that the proposed method can predict the other types of fluorescence images from one raw fluorescence image,and implement the virtual multi-label fluorescent staining by merging the generated different fluorescence images as well.Moreover,this proposed method can also effectively reduce the time-consuming and laborious preparation in imaging processes,and further saves the cost and time.

Determination of genetic relationships between evergreen azalea cultivars in China using AFLP markers

Evergreen azaleas are among the most important ornamental shrubs in China.Today,there are probably over 300 cultivars preserved in different nurseries,but with little information available on the cultivar itself or relationships between cultivars.Amplified fragment length polymorphism(AFLP) markers were employed to determine the genetic relationships between evergreen azalea cultivars in China.One hundred and thirty genotypes collected from gardens and nurseries,including cultivars classified in the groups East,West,Hairy,and Summer,unknown cultivars,and close species,were analyzed using three primer pairs.A total of 408 polymorphic fragments were generated by AFLP reactions with an average of 136 fragments per primer pair.The average values of expected heterozygosity and Shannon's information index were 0.3395 and 0.5153,respectively.Genetic similarities were generated based on Dice coefficients,used to construct a neighbor joining tree,and bootstrapped for 100 replicates in Treecon V1.3b.Principal coordinate analysis(PCO) was performed based on Dice distances using NTSYS-pc software.The AFLP technique was useful for analyzing genetic diversity in evergreen azaleas.Cluster analysis revealed that cultivars in the West and Summer groups were quite distinct from other groups in the four-group classification system and that the East and Hairy groups should be redefined.

Blue light-induced rare-earth free phosphors for the highly sensitive and selective imaging of latent fingerprints based on enhanced hydrophobic interaction

The demand for in-situ detection of latent fingerprints(LFPs)in ways of high sensitivity,high selectivity,high contrast,low cost and user-friendly is still urgent.To overcome this challenge,a moisture-stable,red-emitting fluoride phosphor K_(3)AlF_(6):Mn^(4+)(KAF:Mn^(4+))with an organic hydrophobic skin was prepared.The phosphor has a uniform and superfine morphology with excellent luminescence properties.More importantly,this non-ultraviolet(UV)or non-near infrared(NIR)induced phosphor was proved to be an ideal fluorescent label for LFP imaging,which is both friendly for touch DNA analysis and compatible to forensic light sources.The well-defined ridge details with little background interference on various surfaces were presented by the oleic acid(OA)modified KAF:Mn^(4+)(KAF:Mn^(4+)-OA)phosphor in few seconds using the powder dusting method.To confirm the high selectivity of KAF:Mn^(4+)-OA for LFP imaging,an efficient quantitative evaluation method is proposed with the aid of ImageJ&Origin software.Due to the superiority of the Mn^(4+)-doped fluoride for the rapid imaging of LFPs in terms of lowcost,high compatibility and good availability,it is expected to be a promising candidate for forensic science as well as fluorescence imaging in other fields instead of rare earth luminescent materials.