Multi-Omic Analyses of Growth Cones at Different Developmental Stages Provides Insight into Pathways in Adult Neuroregeneration
Muhammad Zain Chauhan,
Jennifer Arcuri,
Kevin K. Park,
Maroof Khan Zafar,
Rabeet Fatmi,
Abigail S. Hackam,
Yuqin Yin,
Larry Benowitz,
Jeffrey L. Goldberg,
Mohammad Samarah,
Sanjoy K. Bhattacharya
Affiliations
Muhammad Zain Chauhan
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
Jennifer Arcuri
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Program in Biomedical Sciences & Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA
Kevin K. Park
Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Program in Biomedical Sciences & Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, FL 33136, USA
Maroof Khan Zafar
Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
Rabeet Fatmi
Department of Computer Science, Florida Polytechnic University, Lakeland, FL 33805, USA
Abigail S. Hackam
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Program in Biomedical Sciences & Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA
Yuqin Yin
Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, USA; Department of Neurosurgery and F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA 02115, USA
Larry Benowitz
Department of Ophthalmology, Harvard Medical School, Boston, MA 02115, USA; Department of Neurosurgery and F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA 02115, USA
Jeffrey L. Goldberg
Department of Ophthalmology, Stanford University School of Medicine, Stanford, CA 94305, USA
Mohammad Samarah
Department of Computer Science, Florida Polytechnic University, Lakeland, FL 33805, USA
Sanjoy K. Bhattacharya
Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Program in Biomedical Sciences & Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Corresponding author
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. : Biological Sciences; Systems Biology; Omics; Proteomics; Lipidomics Subject Areas: Biological Sciences, Systems Biology, Omics, Proteomics, Lipidomics