JoVE Monthly Highlights: June 2017

Summary

Here's a look at what's coming up in the June 2017 issue of JoVE: The World's Premier Video Journal

Protocol

Visualization of the Axonal Projection Pattern of Embryonic Motor Neurons in Drosophila

Sangyun Jeong

Department of Molecular Biology, Chonbuk National University

This work details a standard immunohistochemistry method to visualize motor neuron projections of late stage-16 Drosophila melanogaster embryos. The filleted preparation of fixed embryos stained with FasII antibody provides a powerful tool to characterize the genes required for motor axon pathfinding and target recognition during neural development.

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma

Wenting Luo*^1,2,3,4, Guichang Pan*⁵, Huimin Huang^1,2,3,4, Peiyan Zheng^1,2,3,4, Nili Wei^1,2,3,4, Yifei Zhang⁵, Guangqiao Zeng^1,2,3,4, Baoqing Sun^1,2,3,4

¹State Key Laboratory of Respiratory Disease, ²National Clinical Research Center of Respiratory Disease, ³Guangzhou Institute of Respiratory Diseases, ⁴Department of Allergy and Clinical Immunology, First Affiliated Hospital of Guangzhou Medical University, ⁵Department of Respiratory Medicine, Sixth Affiliated Hospital of Guangzhou Medical University

This work describes a protocol that uses a component-resolved approach to study sensitization to grass pollen allergens in a cohort of patients from southern China with allergic rhinitis and/or asthma.

A Method to Test the Efficacy of Handwashing for the Removal of Emerging Infectious Pathogens

Marlene K. Wolfe, Daniele S. Lantagne

Department of Civil and Environmental Engineering, Tufts University

Handwashing is widely recommended to prevent infectious disease transmission. However, there is little evidence on which handwashing methods are most efficacious at removing infectious disease pathogens. We developed a method to assess the efficacy of handwashing methods at removing microorganisms.

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Xun Zhang, Sheng Chen, Feng Xu

Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University

This protocol aims to present a general method to visualize lignin, cellulose, and hemicellulose in plant cell walls using Raman imaging and multivariate analysis.