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TOPICAL COLLECTIONS

Advanced Methodologies in Systematic Studies of the Drosophila Nervous System
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Dawen Cai

Dawen Cai

University of Michigan

Dr. Dawen Cai is an Associate Professor at the University of Michigan. He obtained his PhD in Biophysics from the University of Michigan in 2007 and was a postdoctoral fellow at Harvard University until 2011. The Cai Laboratory works on neural circuits in the brain using Drosophila and mouse as model organisms. The lab develops novel genetic, imaging, and computational tools for neural circuit tracing at the whole-brain scale with synapse resolution. They also work on identifying neural circuit "motifs" that specify brain functions, and depicting molecular, neuronal, and circuitry mechanisms that contribute to neuron fate determination and autism.

Ye Li

Ye Li

Department of Cell and Developmental Biology, University of Michigan

Dr. Ye Li received his Bachelor’s degree in Biological Sciences from Zhejiang University in 2013, and earned his PhD in Cell and Developmental Biology from the University of Michigan in 2019. Currently he works as a postdoctoral research fellow in Dr. Dawen Cai’s lab at UM. His research focus has been on the development of novel transgenic, imaging, transcriptomics tools, multimodal methods integration and their applications in the Drosophila nervous system to resolve complexity in circuitries.

Collection Overview

The small but mighty fruit fly Drosophila melanogaster presents an effective model system to peek into nature’s fundamental principles, with a long history of fruitful discoveries. It is especially true in Drosophila neuroscience, thanks to the powerful suite of genetic tools, the huge library of mutation/deficiency lines, the easy-to-access neuropils throughout the development process, the diverse and trackable behaviors, and the considerably small requirements in laboratory equipment. Researchers have been integrating advanced methodologies over the years to allow faster, higher-throughput, more accurate, and higher-dimensional data acquisition and analysis. Recent advances in optogenetics, high-throughput sequencing, multi-omics, imaging, machine learning-assisted detection and discoveries have significantly pushed the boundaries of the field on all fronts. It is truly an inspiring and critical time to work on the Drosophila nervous system. In this collection, we invite colleagues to contribute and document their state-of-the-art methodologies in Drosophila neuroscience. Utilizing JoVE’s unique and powerful platform, we hope to consolidate practical knowledge that might otherwise be lost in conventional reports. We look forward to taking this opportunity to disseminate ingenious methods fast and widely, accelerate neuroscience research in Drosophila, and translate philosophies to the broader field.

Articles

Assaying Locomotor Activity to Study Circadian Rhythms and Sleep Parameters in <em>Drosophila</em>
18:08

Assaying Locomotor Activity to Study Circadian Rhythms and Sleep Parameters in Drosophila

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Cited by 165

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2010

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Abstracts

Detecting gene expression in the Drosophila nervous system using expansion-assisted iterative FISH.

Mark Eddison*1,

Kari Close1,

Yisheng He1,

Gudrun Ihrke2

1HHMI - Janelia,

2HHMI-Janelia

Single-cell mRNA sequencing and analysis of cell type diversity in insect neuronal systems

Konstantina Filippopoulou1,

Elisavet Iliopoulou1,

Nikos Konstantinides*1

1Université Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France

Using High-Performance Liquid Chromatography to Study Alterations in Biogenic Amines in Drosophila Models of Brain Disorders

Nathaneal J Huston1,

Manuel Armendariz1,

Audrey L Berry1,

Pragya Niraj Sharma1,

Jorge M Campusano2,

Sergio Hidalgo*1

1Washington State University,

2Pontificia Universidad Catolica de Chile