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Gene Expression Meta-Analysis Reveals mRNA Association with Spaceflight-induced Changes Across Muscle Types
Caris Kojima, Spencer Kojima, Laura K. Harris
Pages - 1 - 18 | Revised - 30-11-2023 | Published - 31-12-2023
MORE INFORMATION
KEYWORDS
Muscle Atrophy, Spaceflight, Microgravity, Gene Expression, Meta-analysis.
ABSTRACT
Background: Spaceflight-induced muscle changes result from exposure to microgravity
conditions lacking oxygen and pressure. This is the initial study to implement a Gene Set
Enrichment meta-analysis (GSEA) to highlight differentiations in gene expression, possibly
detecting future targets for potential therapies.
Methods: This study defines 8 gene signatures between space and Earth-based samples of muscle atrophy in mice, comparing them through Gene Set Enrichment Analysis (GSEA). This method helped to define positive and negative panels by identifying the leading-edge genes in each query set. These panels were then utilized to reveal differentiations in gene expression of atrophy, and compare different gene signatures displaying alterations in muscle atrophy gene expression within different environments.
Results: Enrichment was shown among identification signatures where 149 genes from the positive panel and 69 genes from the negative panel were defined. When gene expression was compared across different muscle types, 15 significant up-regulated genes and 9 significant down-regulated genes were found across all muscle types. Ultimately, the data consisted of some genes which had similarities to previous literature and also showed new, novel associations.
Conclusion: The use of a gene expression meta-analysis based method highlighted alterations associated with spaceflight induced muscle atrophy. These results may have significant implications in the development of potential therapies.
Methods: This study defines 8 gene signatures between space and Earth-based samples of muscle atrophy in mice, comparing them through Gene Set Enrichment Analysis (GSEA). This method helped to define positive and negative panels by identifying the leading-edge genes in each query set. These panels were then utilized to reveal differentiations in gene expression of atrophy, and compare different gene signatures displaying alterations in muscle atrophy gene expression within different environments.
Results: Enrichment was shown among identification signatures where 149 genes from the positive panel and 69 genes from the negative panel were defined. When gene expression was compared across different muscle types, 15 significant up-regulated genes and 9 significant down-regulated genes were found across all muscle types. Ultimately, the data consisted of some genes which had similarities to previous literature and also showed new, novel associations.
Conclusion: The use of a gene expression meta-analysis based method highlighted alterations associated with spaceflight induced muscle atrophy. These results may have significant implications in the development of potential therapies.
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Miss Caris Kojima
Chapin School, NYC
Lumiere Education Inc.
New York, 10065 - United States of America
caris.jordan.kojima@gmail.com
Mr. Spencer Kojima
Collegiate School, NYC Lumiere Education Inc. New York, 10065 - United States of America
Dr. Laura K. Harris
Harris Interdisciplinary Education Dewitt, 48820, USA Lumiere Education Inc. Wilmington, 48824 - United States of America
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