GIGEM (Group Isolation Gauge Effect Metrics), a Software Suite for Analyzing Social Isolation-induced Sleep Loss and Multi-batch Experiments in <i>Drosophila</i>

We introduce Group Isolation Gauge Effect Metrics (GIGEM), a high-throughput software suite for Drosophila sleep analysis designed to manage large population datasets from multi-batch experiments. In this study, we characterized social isolation–induced sleep phenotypes across 38 Sleep Inbred Panel (SIP) lines after both acute and chronic social isolation. Beyond this specific study, GIGEM is broadly suited for diverse Drosophila sleep research involving large-scale and multi-batch datasets. GIGEM enabled an extensive analysis of sleep parameters and allowed systematic identification of sleep changes in response to social isolation. Following acute social isolation, SIP line animals showed heterogeneous responses, including sleep loss, sleep gain, and no change in sleep. In contrast, chronic social isolation led to significant sleep loss in nearly all lines, though to varying degrees. While most SIP lines were sensitive to chronic social isolation, a select few were resistant to it. These results were obtained across 38 SIP lines and wild-type controls (totaling 5687 animals). Collectively, our results demonstrate that chronic social isolation-induced sleep loss is a robust yet variable trait and establish GIGEM as a powerful, generalizable tool for Drosophila sleep phenotyping in large-scale, multi-batch studies.

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Publication Details

Journal
Journal of Biological Rhythms
Published
2026-06-09
DOI
https://doi.org/10.1177/07487304261449840
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
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article

GIGEM (Group Isolation Gauge Effect Metrics), a Software Suite for Analyzing Social Isolation-induced Sleep Loss and Multi-batch Experiments in Drosophila

Feda Hammood, Wanhe Li, Esther I. Doria, Jingjing Yan
Journal of Biological Rhythms
Neurobiology and Insect Physiology Research
article

GIGEM (Group Isolation Gauge Effect Metrics), a Software Suite for Analyzing Social Isolation-induced Sleep Loss and Multi-batch Experiments in Drosophila

Feda Hammood, Wanhe Li, Esther I. Doria, Jingjing Yan
article en

Abstract

We introduce Group Isolation Gauge Effect Metrics (GIGEM), a high-throughput software suite for Drosophila sleep analysis designed to manage large population datasets from multi-batch experiments. In this study, we characterized social isolation–induced sleep phenotypes across 38 Sleep Inbred Panel (SIP) lines after both acute and chronic social isolation. Beyond this specific study, GIGEM is broadly suited for diverse Drosophila sleep research involving large-scale and multi-batch datasets. GIGEM enabled an extensive analysis of sleep parameters and allowed systematic identification of sleep changes in response to social isolation. Following acute social isolation, SIP line animals showed heterogeneous responses, including sleep loss, sleep gain, and no change in sleep. In contrast, chronic social isolation led to significant sleep loss in nearly all lines, though to varying degrees. While most SIP lines were sensitive to chronic social isolation, a select few were resistant to it. These results were obtained across 38 SIP lines and wild-type controls (totaling 5687 animals). Collectively, our results demonstrate that chronic social isolation-induced sleep loss is a robust yet variable trait and establish GIGEM as a powerful, generalizable tool for Drosophila sleep phenotyping in large-scale, multi-batch studies.

Journal of Biological Rhythms
Hunter College (US), Texas A&M University (US)
Reduced inequalities
Openalex Percentile: Top 11%
Neurobiology and Insect Physiology Research
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