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Series GSE236232 Query DataSets for GSE236232
Status Public on Jul 03, 2023
Title Origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg
Organism Drosophila melanogaster
Experiment type Expression profiling by high throughput sequencing
Summary Our ability to sense and move our bodies relies on proprioceptors, sensory neurons that detect mechanical forces within the body. Proprioceptors are diverse: different subtypes detect different features of joint kinematics, such as position, directional movement, and vibration. However, because they are located within complex and dynamic peripheral tissues, the underlying mechanisms of proprioceptor feature selectivity remain poorly understood. Here, we investigate molecular and biomechanical contributions to proprioceptor diversity in the Drosophila leg. Using single-nucleus RNA sequencing, we found that different proprioceptor subtypes express similar complements of mechanosensory and other ion channels. However, anatomical reconstruction of the proprioceptive organ and connected tendons revealed major biomechanical differences between proprioceptor subtypes. We constructed a computational model of the proprioceptors and tendons, which identified a putative biomechanical mechanism for joint angle selectivity. The model also predicted the existence of a goniotopic map of joint angle among position-tuned proprioceptors, which we confirmed using calcium imaging. Our findings suggest that biomechanical specialization is a key determinant of proprioceptor feature selectivity in Drosophila. More broadly, our discovery of proprioceptive maps in the fly leg reveals common organizational principles between proprioception and other topographically organized sensory systems.
 
Overall design Flies are raised on standard cornmeal and molasses medium kept at 25 C in a 14:10 hour light:dark cycle.
 
Contributor(s) Li H, Lu T, Tuthill JC, Mamiya A
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Submission date Jun 30, 2023
Last update date Jul 03, 2023
Contact name Hongjie Li
E-mail(s) hongjie.li@bcm.edu
Organization name Baylor College of Medicine
Department Huffington Center on Aging
Lab Alkek N910
Street address One Baylor Plaza
City Houston
State/province TX
ZIP/Postal code 77030
Country USA
 
Platforms (1)
GPL25244 Illumina NovaSeq 6000 (Drosophila melanogaster)
Samples (1)
GSM7520161 LegNeu
Relations
BioProject PRJNA989534

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SOFT formatted family file(s) SOFTHelp
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Supplementary file Size Download File type/resource
GSE236232_RAW.tar 15.8 Mb (http)(custom) TAR (of H5AD, MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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