Regeneration in the era of functional genomics and gene network analysis
Regeneration in the era of functional genomics and gene network analysis
What gives an organism the ability to regrow tissues and to recover function where another organism fails is the central problem of regenerative biology. The challenge is to describe the mechanisms of regeneration at the molecular level, delivering detailed insights into the many components that are cross-regulated. In other words, a broad, yet deep dissection of the system-wide network of molecular interactions is needed. Functional genomics has been used to elucidate gene regulatory networks (GRNs) in developing tissues, which, like regeneration, are complex systems. Therefore, we reason that the GRN approach, aided by next generation technologies, can also be applied to study the molecular mechanisms underlying the complex functions of regeneration. We ask what characteristics a model system must have to support a GRN analysis. Our discussion focuses on regeneration in the central nervous system, where loss of function has particularly devastating consequences for an organism. We examine a cohort of cells conserved across all vertebrates, the reticulospinal (RS) neurons, which lend themselves well to experimental manipulations. In the lamprey, a jawless vertebrate, there are giant RS neurons whose large size and ability to regenerate make them particularly suited for a GRN analysis. Adding to their value, a distinct subset of lamprey RS neurons reproducibly fail to regenerate, presenting an opportunity for side-by-side comparison of gene networks that promote or inhibit regeneration. Thus, determining the GRN for regeneration in RS neurons will provide a mechanistic understanding of the fundamental cues that lead to success or failure to regenerate
18-34
Smith, Joel
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Morgan, Jennifer R.
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Zottoli, Steven J.
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Smith, Peter J.S.
003de469-9420-4f12-8f0e-8e8d76d28d6c
Buxbaum, Joseph D.
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Bloom, Ona E.
11ef095f-69fc-43fc-b759-1f7eae0aabec
August 2011
Smith, Joel
d407c3e7-b42c-4ca6-83c7-fff927bdb88d
Morgan, Jennifer R.
10085cd7-1de2-4671-87b5-d61221898925
Zottoli, Steven J.
528d0a3f-407a-43c1-94cb-0fc210ecb1cd
Smith, Peter J.S.
003de469-9420-4f12-8f0e-8e8d76d28d6c
Buxbaum, Joseph D.
37a73cee-72fd-4844-b4e6-3e5e356ceb81
Bloom, Ona E.
11ef095f-69fc-43fc-b759-1f7eae0aabec
Smith, Joel, Morgan, Jennifer R., Zottoli, Steven J., Smith, Peter J.S., Buxbaum, Joseph D. and Bloom, Ona E.
(2011)
Regeneration in the era of functional genomics and gene network analysis.
Biological Bulletin, 221 (1), .
Abstract
What gives an organism the ability to regrow tissues and to recover function where another organism fails is the central problem of regenerative biology. The challenge is to describe the mechanisms of regeneration at the molecular level, delivering detailed insights into the many components that are cross-regulated. In other words, a broad, yet deep dissection of the system-wide network of molecular interactions is needed. Functional genomics has been used to elucidate gene regulatory networks (GRNs) in developing tissues, which, like regeneration, are complex systems. Therefore, we reason that the GRN approach, aided by next generation technologies, can also be applied to study the molecular mechanisms underlying the complex functions of regeneration. We ask what characteristics a model system must have to support a GRN analysis. Our discussion focuses on regeneration in the central nervous system, where loss of function has particularly devastating consequences for an organism. We examine a cohort of cells conserved across all vertebrates, the reticulospinal (RS) neurons, which lend themselves well to experimental manipulations. In the lamprey, a jawless vertebrate, there are giant RS neurons whose large size and ability to regenerate make them particularly suited for a GRN analysis. Adding to their value, a distinct subset of lamprey RS neurons reproducibly fail to regenerate, presenting an opportunity for side-by-side comparison of gene networks that promote or inhibit regeneration. Thus, determining the GRN for regeneration in RS neurons will provide a mechanistic understanding of the fundamental cues that lead to success or failure to regenerate
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Published date: August 2011
Organisations:
Faculty of Natural and Environmental Sciences
Identifiers
Local EPrints ID: 201135
URI: http://eprints.soton.ac.uk/id/eprint/201135
ISSN: 0006-3185
PURE UUID: 51ddbefb-3108-4fb4-9cbc-6f6e8dd397f4
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Date deposited: 28 Oct 2011 10:41
Last modified: 09 Jan 2022 03:36
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Contributors
Author:
Joel Smith
Author:
Jennifer R. Morgan
Author:
Steven J. Zottoli
Author:
Joseph D. Buxbaum
Author:
Ona E. Bloom
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