Gene regulatory networks that control the specification of neural-crest cells in the lamprey

Nikitina, Natalya; Bronner‐Fraser, Marianne

doi:10.1016/j.bbagrm.2008.03.006

Cited by 14 publications

(11 citation statements)

References 44 publications

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“…A subgroup of transcription factors such as AP-2a, Snail1/2, Id, c-Myc, and Twist are expressed even before neural crest progenitors become apparent, though the timing of their onset and presence within the neural plate border varies among different vertebrates. In a basal vertebrate, the lamprey, expression of this subgroup of early-expressing neural crest specifiers begins at the early neurula stage, preceding expression of canonical neural crest markers such as Sox10 and FoxD3 (Nikitina & Bronner-Fraser 2009, Sauka-Spengler et al 2007). This raises the intriguing possibility these genes may function as a key regulatory link between the establishment of competence in the presumptive crest at the neural plate border and the specification of bona fide neural crest cells.…”

Section: Neural Crest Specifier Genesmentioning

confidence: 99%

“…Id proteins interfere with gene expression by binding to transcriptional activators from bHLH families and preventing them from activating their direct targets. In lamprey, initial expression of Id at the neural plate border precedes that of cMyc (Nikitina & Bronner-Fraser 2009). However, in Xenopus embryos cMyc can directly regulate Id expression (Light et al 2005), which indicates that other factors, such as AP-2a or Zic1, may be responsible for the initial expression of Id (Nikitina et al 2008).…”

Section: Neural Crest Specifier Genesmentioning

confidence: 99%

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Assembling Neural Crest Regulatory Circuits into a Gene Regulatory Network

Betancur

Bronner‐Fraser

Sauka‐Spengler

2010

Annu. Rev. Cell Dev. Biol.

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263

289

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The neural crest is a multipotent stem cell--like population that gives rise to a wide range of derivatives in vertebrate embryo including elements of the craniofacial skeleton and peripheral nervous system as well as melanocytes. The neural crest forms in a series of regulatory steps that include induction and specification of the prospective neural crest territory--neural plate border, specification of bona fide neural crest progenitors, and differentiation into diverse derivatives. These individual processes during neural crest ontogeny are controlled by regulatory circuits that can be assembled into a hierarchical gene regulatory network (GRN). Here we present an overview of the GRN that orchestrates the formation of cranial neural crest cells. Formulation of this network relies on information largely inferred from gene perturbation studies performed in several vertebrate model organisms. Our representation of the cranial neural crest GRN also includes information about direct regulatory interactions obtained from the cis-regulatory analyses performed to date, which increases the resolution of the architectural circuitry within the network.

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Section: Neural Crest Specifier Genesmentioning

confidence: 99%

Section: Neural Crest Specifier Genesmentioning

confidence: 99%

Assembling Neural Crest Regulatory Circuits into a Gene Regulatory Network

Betancur

Bronner‐Fraser

Sauka‐Spengler

2010

Annu. Rev. Cell Dev. Biol.

Self Cite

263

289

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“…Much of the pioneering work on neural crest was carried out in other experimental systems, particularly the chick and chick/ quail chimeras, pioneered by Nicole Le Dourain, 10 and a number of more recent studies have attempted to place the origins of the neural crest in an evolutionary context through studies of organisms such as the lamprey [11][12][13] and the cephalochordate Amphioxus. 14,15 Given the length of evolutionary time (in the hundreds of millions of years) since these various organisms shared from those involved in maintaining and/or "propagating" their effects.…”

Section: Evolutionary Considerationsmentioning

confidence: 99%

Mechanisms driving neural crest induction and migration in the zebrafish andXenopus laevis

Klymkowsky

Rossi

Artinger

2010

Cell Adhesion & Migration

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“…The GRN approach has already been used successfully in lamprey in developmental contexts—specifically, to identify networks relevant to neural crest specification (Nikitina et al , 2008; Sauka-Spengler and Bronner-Fraser, 2008; Nikitina and Bronner-Fraser, 2009) and thymopoesis (Bajoghli et al , 2009), indicating that lamprey is a suitable model for the proposed experiments on regeneration. The first step is to define the RG set relevant to neuronal regeneration in the lamprey spinal cord after injury.…”

Section: Applying Gene Regulatory Network Analysis To Lamprey Cns Regmentioning

confidence: 99%

Regeneration in the Era of Functional Genomics and Gene Network Analysis

Smith

Morgan

Zottoli

et al. 2011

The Biological Bulletin

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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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Gene regulatory networks that control the specification of neural-crest cells in the lamprey

Cited by 14 publications

References 44 publications

Assembling Neural Crest Regulatory Circuits into a Gene Regulatory Network

Assembling Neural Crest Regulatory Circuits into a Gene Regulatory Network

Mechanisms driving neural crest induction and migration in the zebrafish andXenopus laevis

Regeneration in the Era of Functional Genomics and Gene Network Analysis

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