Multi-Omic Analyses of Growth Cones at Different Developmental Stages Provides Insight into Pathways in Adult Neuroregeneration
Growth cones (GCs) are structures associated with growing neurons. GC membrane expansion, which necessitates protein-lipid interactions, is critical to axonal elongation in development and in adult neuritogenesis. We present a multi-omic analysis that integrates proteomics and lipidomics data for th...
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Published in | iScience Vol. 23; no. 2; p. 100836 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
21.02.2020
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2589-0042 2589-0042 |
DOI | 10.1016/j.isci.2020.100836 |
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Summary: | Growth cones (GCs) are structures associated with growing neurons. GC membrane expansion, which necessitates protein-lipid interactions, is critical to axonal elongation in development and in adult neuritogenesis. We present a multi-omic analysis that integrates proteomics and lipidomics data for the identification of GC pathways, cell phenotypes, and lipid-protein interactions, with an analytic platform to facilitate the visualization of these data. We combine lipidomic data from GC and adult axonal regeneration following optic nerve crush. Our results reveal significant molecular variability in GCs across developmental ages that aligns with the upregulation and downregulation of lipid metabolic processes and correlates with distinct changes in the lipid composition of GC plasmalemma. We find that these processes also define the transition into a growth-permissive state in the adult central nervous system. The insight derived from these analyses will aid in promoting adult regeneration and functional innervation in devastating neurodegenerative diseases.
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•Simultaneous proteomics and lipidomics analyses of developmental growth cones•Combined multi-omics analyses of regenerating optic nerves and growth cones•Integrating protein-protein with protein-lipid interactions in growth cones
Biological Sciences; Systems Biology; Omics; Proteomics; Lipidomics |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Lead Contact |
ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2020.100836 |