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First published online July 11, 2008
doi: 10.1242/10.1242/dev.009324
Review |
1 Developmental Neurobiology, National Institute for Medical Research, The
Ridgeway, Mill Hill, London, NW7 1AA, UK.
2 Department of Molecular and Cellular Biology, Harvard University, 16, Divinity
Ave., Cambridge, MA 02138, USA.
* Authors for correspondence (e-mails: amcmahon{at}mcb.harvard.edu; james.briscoe{at}nimr.mrc.ac.uk)
SUMMARY
Neuronal subtype specification in the vertebrate neural tube is one of the best-studied examples of embryonic pattern formation. Distinct neuronal subtypes are generated in a precise spatial order from progenitor cells according to their location along the anterior-posterior and dorsal-ventral axes. Underpinning this organization is a complex network of multiple extrinsic and intrinsic factors. This review focuses on the molecular mechanisms and general strategies at play in ventral regions of the forming spinal cord, where sonic hedgehog-based morphogen signaling is a key determinant. We discuss recent advances in our understanding of these events and highlight unresolved questions.
Introduction
In ventral regions of the presumptive spinal cord, the secreted molecule
sonic hedgehog (Shh) acts as a long-range morphogen
(Box 1) that directs the
pattern of neurogenesis by conferring positional information to ventral neural
progenitors (see Jessell,
2000
; Lupo et al.,
2006
). Here, the Shh signaling pathway
(Fig. 1) functions by
regulating the expression of transcription factors, including members of the
homeodomain (HD) protein and basic helix-loop-helix (bHLH) families
(Fig. 2). These produce a
combinatorial transcriptional code that delineates spatially distinct
progenitor domains along the dorsal-ventral (DV) axis of the neural tube
(Fig. 2B). Each domain
generates one or more distinct neuronal subtypes, the identity of which is
determined by the combination of transcription factors expressed by the
progenitors. Establishment of the gene expression territories is a dynamic
process that requires the progressive repression and induction of genes along
the DV axis (Fig. 2C). As a
consequence, the neural tube undergoes a progressive ventralization, with the
sequential emergence of increasingly more ventral transcriptional codes. How
then is graded Shh signaling translated into spatial- and temporal-specific
profiles of gene activity in neural progenitors?
We divide this problem into three parts: (1) production and spread of Shh - the regulation of Shh distribution in the neural tube; (2) transduction of the Shh signal - the conversion of the extracellular gradient into intracellular signals that initiate cellular responses; and (3) regulation of gene expression - the molecular mechanisms that determine the transcriptional code in progenitors to control the identity of differentiating neurons.
These processes are not entirely independent as Shh-controlled feedback mechanisms modulate ligand distribution, transduction and progenitor specification within the ventral neural target field. Nevertheless, this division provides a convenient framework for the organization of this review.
Establishing an extracellular gradient of Shh
Shh is initially produced by the notochord, a rod-like population of
mesodermal cells that acts as an organizing center for the overlying neural
tissue and establishes an equivalent neural pattern on the left and right
sides of the developing spinal cord
(Echelard et al., 1993
;
Roelink et al., 1994
). In
amniotes, notochordal Shh induces a second center of Shh production within
floor plate cells at the midline of the neural tube
(Fig. 2A)
(Marti et al., 1995
;
Roelink et al., 1995
). In
other vertebrates, the mechanism of floor plate induction appears to be less
dependent on notochord-derived hedgehog (Hh) signaling (reviewed by
Placzek and Briscoe, 2005
).
Several lines of evidence indicate that the spread of Shh through the ventral
neural tube of the mouse and chick embryo establishes a gradient of activity
that provides crucial spatial information necessary for pattern formation. As
with other morphogens, the formation of a Shh gradient depends on three
processes: (1) Shh production and secretion into the target field; (2) its
spread through the tissue; and (3) its degradation and removal from the
tissue. Each step is tightly regulated and involves dedicated molecular
machinery.
| Box 1. Shh as a graded morphogen
The morphogen concept dates back to the early twentieth century, but in its
current formulation the theoretical work of Lewis Wolpert has been most
influential (Wolpert, 1969
Nevertheless, the conventional view of a morphogen has been challenged in
recent years (Jaeger and Reinitz,
2006
|
Shh lipidation affects its production and spread
The mechanism by which Shh protein is produced and released from cells is a
unique feature of the Hh signaling pathway
(Fig. 3). Shh undergoes a
series of post-translational modifications in which the precursor protein is
auto-catalytically cleaved and lipid modified
(Bumcrot et al., 1995
;
Lee et al., 1994
;
Porter et al., 1995
).
Biologically active Shh (ShhNp) is cholesterol modified at the C terminus,
palmitoylated at the N terminus and forms a high molecular weight complex
(Chen et al., 2004
;
Pepinsky et al., 1998
;
Porter et al., 1996a
;
Porter et al., 1996b
). Both
lipid attachments are essential for assembly of this complex
(Chen et al., 2004
) and affect
the activity of the secreted protein.
|
The formation of the high molecular weight ShhNp complexes is likely to
influence the ability of Shh to diffuse
(Zeng et al., 2001
). Thus,
ShhN, which lacks the cholesterol moiety, would be expected to spread more
rapidly and to penetrate further into the tissue. Surprisingly then, ventral
neural tube patterning is compacted in mice that express ShhN in place of
wild-type Shh (Huang et al.,
2007
; Tian et al.,
2005
). This might reflect a decreased range for ShhN as compared
with fully processed ShhNp and/or a reduced activity of the monomeric form.
Alternatively, computational modeling predicts that the high diffusion rate
for an extracellular protein of the size of monomeric ShhN results in the
rapid diffusion of ligand away from the site of synthesis
(Saha and Schaffer, 2006
).
Consequently, less ShhN could be retained in the target field (as discussed
below).
|
Extracellular proteins modulate Shh spread
The spread of Shh in the neural target field is influenced by the
expression of extracellular and transmembrane proteins. Several classes of
proteins bind to extracellular Shh protein and either restrict its diffusion
or alter the rate of Shh degradation (Fig.
4). Heparan sulfate proteoglycans (HSPGs), components of the
extracellular matrix, bind ShhNp at a conserved site
(Rubin et al., 2002
).
Developmentally regulated enzymes that catalyze post-translational
modifications of HSPGs (glycosylation or sulfation) might regulate ligand
binding to HSPGs at different stages of development. Expression of sulfatase
1, which catalyzes the sulfation of HSPGs, correlates with the accumulation of
Shh protein in the ventral lumen of the neural tube and with the dorsal
expansion of Nkx2.2 expression associated with the onset of oligodendrocyte
production (Danesin et al.,
2006
). Exploring the role of HSPGs during earlier stages of DV
patterning might reveal additional functions for these proteins.
The binding of Shh to a diverse set of membrane-linked proteins has also
been shown to influence the response of neural progenitors to Shh. On the
basis of their effect on Shh signaling, these proteins can be grouped into two
classes (Fig. 4). The first
class is encoded by genes that are transcriptionally upregulated by Shh
signaling and includes Ptch1, the Shh receptor, and Hhip1,
which encodes an EGF-repeat-containing membrane-linked protein. Their
expression results in a cell-autonomous inhibition of Shh signal transduction
by sequestration of ligand and, in the case of Ptch1, by endocytosis and
degradation of Shh (Incardona et al.,
2002
). In addition, as ligand availability is decreased by
sequestration, Shh signal transduction is attenuated non-cell-autonomously at
distant positions in the target field
(Chuang et al., 2003
;
Chuang and McMahon, 1999
;
Goodrich et al., 1997
;
Jeong and McMahon, 2005
).
Thus, a Ptch1- and Hhip1-mediated negative-feedback loop, or ligand-dependent
antagonism (LDA), modulates the activity and spread of signal
(Fig. 4,
Fig. 5A)
(Jeong and McMahon, 2005
).
Indeed, when LDA is inhibited, more-ventral p3 and pMN progenitors expand at
the expense of more-intermediate (p0-p2) progenitors
(Fig. 5A)
(Jeong and McMahon, 2005
).
Thus, an individual cell makes a more ventral response than it should for its
position in the target field. Furthermore, ectopic Shh response is observed in
the dorsal region of the neural tube shortly after the initiation of Shh
patterning, highlighting the importance of negative feedback in the
progressive specification of a full complement of ventral cell identities. In
addition, the sharpness of progenitor subtype boundaries is lost
(Jeong and McMahon, 2005
).
Thus, upregulation of Ptch1 and Hhip1 contributes to both the spatio-temporal
dynamics of patterning and the reliability of that pattern. Consistent with
this, the modeling of negative-feedback mechanisms that result in enhanced
ligand degradation predicts an increased robustness in the morphogen gradient
(Eldar et al., 2003
). Thus,
LDA mediated by Ptch1- and Hhip1-dependent negative feedback might buffer
fluctuations in the production and distribution of ligand and might limit the
cellular response to Shh. The effectiveness of buffering might be productively
explored in embryos with decreased Shh production. For example, in
Disp1 hypomorphs, a reduction in Shh protein would be predicted to
reduce the dorsal expansion of ventral cell identities observed when negative
feedback is attenuated, but at the same time could exacerbate the loss of
precision that is associated with fluctuations in ligand distribution.
|
An analysis of Cdo, Boc and Gas1 mouse mutants confirms
the importance of Cdo and Gas1 in the patterning of the
ventral neural tube and points to the existence of functional compensation
amongst these proteins (Allen et al.,
2007
; Martinelli and Fan,
2007
; Tenzen et al.,
2006
). The onset of Cdo expression at the ventral midline
of the neural tube occurs at the same time as floor plate specification
(Fig. 4) and the floor plate is
reduced in Cdo-/- mouse mutants
(Tenzen et al., 2006
). This
suggests that Cdo might act to boost the response to Shh signaling and that
this increased signal is necessary for normal floor plate induction. The
deletion of Gas1 also results in a loss of cell identities in the
ventral neural tube, a defect that is enhanced in Shh+/-
embryos (Allen et al., 2007
;
Martinelli and Fan, 2007
).
Furthermore, when Gas1 and Cdo gene dosage is progressively
lowered, the neural phenotype becomes progressively more severe to the point
that Gas1-/-; Cdo-/- mouse embryos
have no floor plate, p3 or pMN domains
(Allen et al., 2007
). Thus,
these two proteins have cooperative, semi-redundant roles.
|
Route and timing of Shh spread
Many of the experiments described above rely on changes in the expression
of Shh target genes to infer an effect on the distribution of Shh protein.
This has limitations, particularly when the proteins being studied influence
both the extracellular movement of Shh and the intracellular transduction of
the Shh signal. It is therefore crucial to directly visualize Shh protein in
the neural tube. Several studies have convincingly demonstrated the presence
of Shh ligand several cell diameters from the floor plate, overlapping regions
where Shh-feedback components are expressed, consistent with active,
long-range signaling (Gritli-Linde et al.,
2001
; Huang et al.,
2007
). However, these studies are limited in their cellular
resolution and depend on fixed tissue. The recent development of a
biologically active fluorescently tagged allele of Shh
(Shh-GFP), a product of the endogenous Shh locus, has
significantly extended these initial observations
(Chamberlain et al.,
2008
).
Shh-GFP protein generates a dynamic gradient along the DV axis of the
neural tube (Fig. 5C). In
Smo-/- mouse embryos, which lack a Shh response, Shh-GFP
diffuses more dorsally, demonstrating the importance of negative feedback in
restricting the range of Shh in the neural tube. Conversely, limited Shh-GFP
was detected in Skn-/- mouse embryos, in which Shh release
and/or receptor binding is diminished
(Chamberlain et al., 2008
).
The analysis also revealed temporal changes in the level of Shh-GFP protein
along the DV axis of the neural tube. Thus, cells close to the ventral midline
are exposed to progressively increasing amounts of ligand, while at the same
time the ligand spreads dorsally. Analyzing ligand levels in conjunction with
the appearance of progressively more-ventral progenitors suggest that the
duration of Shh exposure, as well as its concentration, influence the response
of neural cells (see below).
Shh accumulates at the ventricular, apical pole of neural progenitors
(Chamberlain et al., 2008
)
(Fig. 5C), an observation that
raises several questions. How does a basally derived signal reach an apical
position in the neural epithelium? In neural cells located in the midline of
the neural tube, physically adjacent to the notochord, Shh protein is observed
in small punctae closely associated with microtubules
(Fig. 5C). This suggests that
transcytosis might move Shh ligand received at the basal surface to an apical
location (Fig. 4). The
trafficking appears to be specific for Shh because a second, GFP-tagged,
palmitoylated ligand (Wnt1) accumulates in basolateral positions
(Chamberlain et al., 2008
).
Interestingly, a Disp1 homolog in C. elegans (CHE-14) is associated
with the apical release of proteins
(Michaux et al., 2000
).
Whether Disp1 plays a role in the release and movement of ShhNp in neural tube
cells remains to be addressed. Does the apical accumulation require cells to
respond to ligand? The answer appears to be no, as apical accumulation is
still evident in Smo-/- embryos in which the entire target
field is non-responsive. Where does ShhNp accumulate apically?
Immunolocalization shows that GFP-labeled ShhNp is closely associated with the
basal body, beneath the primary cilium
(Fig. 5C). The association of
Shh protein with cilia components might be significant given that the
intracellular transduction of Shh signal requires the primary cilium (see
below). Moreover, Shh basal body localization is not limited to the cells that
contact the notochord, suggesting that it might represent a general mechanism
for the spread and intracellular trafficking of Shh. Alternatively, ShhNp
might extend its range of action as dividing cells, which contain Shh protein,
are displaced dorsally with growth of the neural tube.
|
Several additional questions remain to be addressed. Does the Shh gradient reach a steady state in which a gradient is maintained by balancing the production and degradation of Shh protein? Alternatively, does the gradient continue to evolve and, if so, is this regulated by changes in the production or spread of Shh protein? Moreover, despite the importance of ligand degradation in the establishment and maintenance of a gradient, these systems have not been thoroughly investigated. Quantitative, high-resolution, dynamic imaging of ligand production, trafficking, spread and turnover should provide new insights into these questions.
The intracellular transduction of graded Shh signaling
Once Shh has reached responding cells, how do cells perceive and respond to the signal? Despite the significant gaps in our knowledge about this signaling pathway, an understanding of how the graded signal is communicated is beginning to emerge. In particular, both the amount of Shh and the duration of signaling control pattern in the neural tube, leading to a model of how cells dynamically interpret a gradient of Shh signal.
Smoothened activation transmits the signal intracellularly
The transmembrane protein Smo molecularly links extracellular Shh ligand to
the activation of its intracellular signaling pathway (see
Fig. 1). Use of small-molecule
antagonists and Smo agonists in neural cells indicate that a graded activation
of Smo recapitulates the graded cellular response to a Shh concentration
gradient (Chen et al., 2002a
;
Chen et al., 2002b
;
Dessaud et al., 2007
;
Frank-Kamenetsky et al.,
2002
). These data are compatible with the idea that increasing Shh
levels progressively activate Smo. Recent studies suggest that Smo activation
causes a conformational switch, relieving an intramolecular inhibitory
interaction and resulting in the homodimerization or oligomerization of Smo
proteins (Hooper, 2003
;
Jia et al., 2004
;
Zhao et al., 2007
). In
Drosophila, a series of mutations that increasingly weaken these
inhibitory interactions progressively activate Smo
(Zhao et al., 2007
). Whether
a similar progressive activation mechanism exists for vertebrate Smo molecules
remains to be tested.
Unlike in Drosophila, cilia in vertebrates seem to play a key role
in the intracellular transduction of Shh signal (reviewed by
Eggenschwiler and Anderson,
2007
). Shh signal reception removes Ptch1 from the primary cilium
and the base of the cilium, thereby allowing Smo accumulation in the primary
cilium (Corbit et al., 2005
;
Rohatgi et al., 2007
) (see
Fig. 1). Furthermore,
suppressor of fused (Sufu) and Gli proteins are also present in cilia
(Haycraft et al., 2005
), and
Shh ligand accumulates at the base of the cilium, perhaps in association with
Ptch1 (Chamberlain et al.,
2008
; Corbit et al.,
2005
; Rohatgi et al.,
2007
). Whether an exchange of Ptch1 for Smo on cilia is essential
for signal transduction remains to be determined. It is also unclear whether
the small proportion of the total cellular pool of Smo protein present in the
cilium (Rohatgi et al., 2007
)
is sufficient to control the entire response to Shh.
How the signal is transmitted downstream of Smo is a crucial issue that
remains unresolved. In Drosophila, several components of the pathway
have been identified (Huangfu and
Anderson, 2006
; Ingham and
McMahon, 2001
). These include a kinesin-like protein, Costal 2
(Cos2; Costa - FlyBase), which directly interacts with the cytoplasmic tail of
Smo (Jia et al., 2003
;
Lum et al., 2003
;
Ruel et al., 2003
). Cos2 is
essential both for restraining the pathway in the absence of signal and for
the activation of the Gli ortholog, Cubitus interruptus (Ci), in response to
Hh. Whether the vertebrate Cos2 orthologs, Kif7 and Kif27
(Katoh and Katoh, 2004a
;
Katoh and Katoh, 2004b
),
participate in Shh signaling is contentious. In particular, there are
significant sequence differences between the region of the C-terminal tail of
Drosophila Smo that interacts with Cos2 and the equivalent region of
vertebrate Smo (Varjosalo et al.,
2006
). Moreover, a study using short hairpin RNA knockdown in
mammalian cells concluded that Cos-like function is not involved in Shh signal
transduction (Varjosalo et al.,
2006
). By contrast, the morpholino-mediated knockdown of
kif7 in zebrafish supports a role for Kif7 in the Shh response
(Tay et al., 2005
). Stronger
genetic models with Kif7-null alleles will resolve this issue. The
mechanisms by which other important components of the pathway, such as Sufu,
regulate signal transmission also require further investigation
(Svard et al., 2006
).
Graded Gli activity mediates graded Shh signaling
The signaling pathway culminates in the regulation of three members of the
Gli family of zinc-finger-containing transcription regulators (reviewed by
Matise and Joyner, 1999
). An
attractive model of Shh morphogen activity envisages graded Shh signaling
evoking a gradient of Gli activity in the neural tube by progressively
inhibiting Gli repressor (GliR) activity and potentiating Gli activator (GliA)
function (Jacob and Briscoe,
2003
). Consistent with this model, gain-of-function experiments
suggest that progressive changes in the level of Gli activity are sufficient
to recapitulate the patterning activity of graded Shh signaling
(Lei et al., 2004
;
Stamataki et al., 2005
). In
this view, each Gli protein contributes to the production of a gradient of Gli
activity that is proportional to the level of signal transduction. This
implies that the sum of the activity of individual Gli proteins in the cell
determines its gene expression response to Shh signaling. Therefore, the
specific involvement of individual Gli proteins to the gradient depends on
their intrinsic transcriptional regulatory activity, their level of expression
and their post-translation regulation by Shh signaling. The changes in DV
patterning in the neural tube of embryos that lack individual Gli proteins can
be viewed from this perspective.
In Gli2-/- mouse embryos, the most ventral cells (the
floor plate) are not specified. This suggests that Gli2 is required to
generate the highest Shh signaling response, consistent with the notion that
Gli2 acts predominately as an activator
(Ding et al., 1998
;
Matise et al., 1999
;
Park et al., 2000
). Gli3,
conversely, appears to function mainly as a transcriptional repressor as mouse
embryos mutant for Gli3 exhibit a dorsal expansion of intermediate
neural tube progenitors, indicating that a dorsal extension of Shh signaling
has occurred (Persson et al.,
2002
). Moreover, all but the most ventral cell identities (p3 and
floor plate) are recovered when Gli3R function is abrogated in Shh-
and Smo-null embryos (Litingtung
and Chiang, 2000
; Wijgerde et
al., 2002
). Thus, derepression via the removal of Gli3 is
crucial for the specification of MN and more-dorsal Shh-dependent progenitor
domains. Interestingly, an abnormal intermixing of different progenitors is
observed in both these embryos (Litingtung
and Chiang, 2000
; Wijgerde et
al., 2002
) and those lacking all Gli activity
(Bai et al., 2004
).
A temporal adaptation mechanism integrates the duration of Shh signaling
In addition to concentration, the duration of Shh signaling also influences
DV patterning (Dessaud et al.,
2007
; Jeong and McMahon,
2005
; Stamataki et al.,
2005
). A model for how both the ligand concentration and the
duration of Shh signaling can control differential gene expression has been
proposed (Fig. 6)
(Dessaud et al., 2007
). This
`temporal adaptation' model relies on a progressive decrease in the
sensitivity of receiving cells to ongoing Shh signaling. Cells first appear to
be highly sensitive to Shh signal. Consequently, low concentrations of Shh are
sufficient to evoke high levels of Gli activity. With increasing time, cells
become desensitized to ongoing Shh signaling; thus, the concentration of Shh
necessary to achieve the highest levels of Gli activity increases. As a
result, different concentrations of Shh generate an intracellular signal for
different periods of time, such that the duration of signaling is proportional
to Shh concentration. Accordingly, increasing concentrations of Shh sustain
intracellular signal transduction for increasing periods of time.
The response and function of Ptch1, and perhaps other negative-feedback
inhibitors, can explain the gradual desensitization of cells to ongoing Shh
signaling. In response to Shh signaling, cells steadily upregulate inhibitors
such as Ptch1 (Goodrich et al.,
1996
; Marigo and Tabin,
1996
). This suggests that increasing concentrations of Shh are
necessary to block the inhibitory activity of accumulating Ptch1
(Dessaud et al., 2007
). As
discussed earlier, negative feedback is likely to have both cell-autonomous
and non-autonomous roles in regulating the spread and response of cells to Shh
(Figs 4,
5 and
6). Distinguishing the relative
contribution that cell-autonomous and non-autonomous processes make to normal
patterning is difficult and highlights the importance of understanding the
dynamics of signal transmission through the pathway. Methods that provide an
ongoing measure of the activity of key components of the pathway will be
essential, as will approaches for manipulating the duration of the activity of
these components. Understanding how the levels and kinetics of Gli activity
are altered in mutants deficient in individual Gli proteins will also be
important. A key issue is to assess how the duration of signaling influences
the establishment of normal DV patterning. As discussed earlier, analyses
using Shh-GFP protein suggest a close correlation exists between gene
induction in neural cells and the duration of their exposure to Shh
(Chamberlain et al.,
2008
).
Dissecting the genetic network regulated by graded Shh signaling
The positional information supplied by Shh signaling regulates the spatial expression of a set of transcription factors in ventral progenitor cells (Fig. 2). These comprise a genetic network, which we will term the neural tube gene regulatory network (GRN). In common with other GRNs, there are three key issues to address. First, the members of the GRN must be identified and the molecular mechanism of their regulation uncovered. Second, we must understand how the structure and topology of the regulatory network generates the profile of gene expression observed in the neural tube. Third, the downstream targets of the network that ultimately control cell behavior and the identity of neural subtypes need to be determined. Initial progress towards these goals has been made by conventional developmental biological approaches. These have revealed specific details of the network and have suggested certain general features of its operation. The recent deployment of newer genomic and bioinformatic techniques is expanding our detailed knowledge of the neural tube GRN and is providing a broader picture of how the network functions.
Regulation of neural tube GRN genes
The initial studies that identified the HD and bHLH transcription factors
that are expressed in restricted DV domains of progenitors, subdivided these
regulatory factors into two classes based on their mode of regulation by Shh:
class I genes are repressed by Shh, whereas class II genes require Shh
exposure for their expression (Briscoe and
Ericson, 2001
). Many, although not all, of these factors function
as transcriptional repressors (Muhr et
al., 2001
), and selective repressive interactions between pairs of
class I and class II proteins have been defined (Figs
2,
7). As a consequence, pairs of
neural tube GRN proteins delineate boundaries of progenitor domains
(Fig. 7A). For example, Pax6
and Nkx2.2 comprise a cross-repressive pair that delineates the p3-pMN
boundary. In mouse embryos mutant for Pax6, Nkx2.2 expands dorsally
(Ericson et al., 1997
).
Conversely, Nkx2.2 expression is sufficient to inhibit Pax6
expression, although Nkx2.2 might share this role in vivo with Nkx2.9
(Briscoe et al., 1999
;
Ericson et al., 1997
). Similar
relationships are observed between other pairs of class I and class II
proteins in the neural tube. Moreover, regulatory interactions between pairs
of class II proteins (Fig. 7A)
have also been identified (Novitch et al.,
2001
; Vallstedt et al.,
2001
). Together, these findings reveal that an elaborate network
of cross-regulation exists between members of the neural tube GRN, although
how the specificity of these interactions is determined remains to be
defined.
More recently, an in silico approach by Bailey et al.
(Bailey et al., 2006
) has
extended these ideas (Fig. 7B).
An analysis of evolutionarily conserved regions (ECRs) of non-coding DNA from
vertebrate genomes, presumed to encode regulatory elements, found several
hundred ECRs that were enriched in binding sites for HD, Sox and POU
transcription factors (Bailey et al.,
2006
). Remarkably, many of these ECRs are close to genes that are
expressed in the developing CNS, with several adjacent to established members
of the neural tube GRN. This led the authors to propose that the HD
transcription factor members of the neural tube GRN provide specific, direct
inhibitory activity through the ECRs (Fig.
7B). Concomitantly, Sox and POU factors, which are broadly
expressed in neural progenitors, provide a positive transcriptional input to
confer neural expression on the genes associated with the ECRs. The distinct
spatial patterns of neural tube GRN gene expression would therefore be
achieved by a spatially uniform, positive transcriptional input combined with
temporally and spatially restricted specific negative inputs. This mechanism
is in agreement with a genetic analysis of mice mutant for certain HD
transcription factors (Fig.
7C). What remains to be determined is how the DV positional
information that regulates the spatial pattern of gene expression in the
neural tube is incorporated into this model. The presence of other binding
sites within these ECRs will doubtless be one determinant. The existence of
Gli binding sites (GBSs) would presumably be important for explaining the
action of graded Shh signaling (see below).
The repressive activities of neural tube GRN proteins might partly explain
the temporal profiles of neural tube GRN genes. Members of the network display
dynamic changes in their patterns of expression during neural tube development
(Fig. 2C,
Fig. 6). For individual genes,
this parallels their dependence on different levels and durations of Shh
signaling - that is, class I proteins are initially expressed more ventrally
in the neural tube but are progressively repressed in a ventral-to-dorsal
manner. The order in which class I genes are repressed is inversely related to
their sensitivity to Shh signaling
(Dessaud et al., 2007
;
Ericson et al., 1997
). Thus,
Shh signaling progressively defines the ventral expression boundaries of class
I proteins. Class II proteins, conversely, are sequentially induced in the
ventral neural tube in an order that corresponds to their increasing
requirement for Shh signaling (Dessaud et
al., 2007
; Jeong and McMahon,
2005
; Stamataki et al.,
2005
). These temporal features of the neural tube GRN are
consistent with the importance of the duration of Shh signaling in ventral
neural tube patterning. Together, the data suggest that the spatio-temporal
pattern of expression for an individual neural tube GRN gene is determined by
a combination of uniform positive inputs (e.g. Sox and/or POU proteins) and
spatio-temporally restricted inputs from Shh signaling, as well as positive or
negative input from members of the neural tube GRN
(Fig. 7).
|
|
Although graded Shh signaling and Gli activity are essential for DV neural
tube patterning, the direct targets of Gli regulation in this network are
poorly defined. Binding sites for Gli proteins have been investigated in only
two Shh-dependent neural tube GRN genes, Nkx2.2 and Foxa2.
In both cases, there is evidence that GBSs are required for the expression of
these genes in the neural tube (Lei et
al., 2006
; Sasaki et al.,
1997
; Vokes et al.,
2007
). A recent ChIP-on-chip screen has begun to expand the number
and location of GBSs (Vokes et al.,
2007
). A custom array of genomic regions surrounding 122 genes
that appear to be regulated by Shh signaling, in neural and non-neural
contexts, was screened using Gli1 chromatin immunoprecipitation products from
ventralized neural cells, recovering a small number of GBSs, including some
close to Nkx2.2/Nkx2.9 (V3 progenitors) and Foxa2 (floor
plate progenitors). These findings are indicative of, and consistent with, a
direct Shh input into localized expression of these determinants
(Lei et al., 2006
;
Sasaki and Hogan, 1996
). A
whole-genome interrogation is likely to reveal a more complete Gli neural tube
GRN. Furthermore, identifying sites where Gli3 binding is lost upon Shh
signaling might reveal a different set of targets to those bound by Gli1
activator. The low number of GBSs in the Shh-regulated gene set raises the
possibility that only a limited number of genes within the neural tube GRN
require a direct Gli input. If so, a direct Shh input might create a `pioneer'
patterning response, while cross-regulatory interactions within the neural
tube GRN refine DV pattern through additional transcriptional inputs.
|
The basic question of how graded Shh signaling is interpreted at the
genomic level to control differential gene expression remains to be answered.
In other systems, differential gene expression is regulated in response to the
positioning, affinity or number of binding sites for a morphogen-regulated
transcription factor (Driever et al.,
1989
; Gaudet and Mango,
2002
; Stathopoulos et al.,
2002
). Genes that contain higher affinity, superior-positioned or
increased numbers of binding sites for the relevant factor respond at lower
concentration thresholds than do genes with less optimal regulatory inputs
(Fig. 8).
A detailed experimental assessment of GBSs in the neural tube GRN genes can
address this model in the ventral neural tube. Interestingly, the vertebrate
Ptch1 gene is flanked by several GBSs, suggesting that the presence
of multiple sites might contribute to the sensitivity of Ptch1
expression to Shh signaling (Agren et al.,
2004
; Vokes et al.,
2007
). By contrast, Foxa2 and Nkx2.2 contain
only one clear GBS in a cis-regulatory element that controls ventral neural
expression (Lei et al., 2006
;
Sasaki and Hogan, 1996
;
Sasaki et al., 1997
;
Vokes et al., 2007
). Whether
the difference in the sequence of the two GBSs explains the difference in
Foxa2 and Nkx2.2 expression has not been tested, but seems
unlikely. Interestingly, both genes are initially activated by Shh signaling
with similar temporal and spatial kinetics
(Jeong and McMahon, 2005
).
Thus, some secondary event generates cells that exclusively express each
determinant. More generally, it seems likely that the integration of a direct
Gli transcriptional input with other inputs (positive and negative)
establishes the threshold response for genes in the neural tube GRN
(Fig. 8). Thus, the response
threshold of a gene is determined by the sum of regulatory inputs on the gene,
not solely by the affinity or number of GBSs. This combinatorial mechanism for
setting response thresholds is consistent with the identification in neural
tube GRN genes of ECRs that contain binding sites for a suite of
transcriptional regulators. In this view, the differential integration of
positive and negative transcriptional inputs on an individual target gene
determines its threshold response to Shh signaling. A similar mechanism has
also been suggested for gene regulation by the Drosophila Bicoid
morphogen (Ochoa-Espinosa and Small,
2006
). This regulatory strategy permits mechanisms, such as
feed-forward loops (Mangan and Alon,
2003
), that would provide an explanation for the dynamic nature of
gene expression in the neural tube, as well as the requirement for prolonged
duration of signaling for the induction of some neural tube GRN genes.
The regulation of the neural tube GRN
Combined experimental and bioinformatic approaches are beginning to piece
together the neural tube GRN, although the details are still fragmentary. Two
key ideas emerge. First, specific regulatory interactions between genes in the
neural tube GRNs are important for defining the spatio-temporal profiles of
gene expression. This aspect of the network is yet to be addressed in detail
at the molecular level. Second, the role of graded Shh signaling within the
neural tube GRN provides a positional basis to the network by regulating the
extent and timing of expression of certain transcription factors within the
neural tube GRN. In this view, graded Shh signaling imparts positional
information by providing one of a number of inputs into the regulation of
members of the neural tube GRN (Fig.
8). The predetermined regulatory interactions within the neural
tube GRN transpose this positional information to the tightly regulated
patterns of gene expression characteristic of the neural tube. This regulatory
strategy might also shed light on the intermixing of cells that express
markers of different progenitor domains that is observed in mouse embryos
mutant for both Shh and Gli3 or lacking all Gli activity
(Bai et al., 2004
;
Litingtung and Chiang, 2000
;
Wijgerde et al., 2002
). In
these embryos, the absence of transcriptional input from Gli proteins removes
positional information from the GRN. However, the cross-regulatory connections
within the network would be unaffected. Therefore, within individual
progenitors, stochastic biases and/or other extrinsic signals present in the
neural tube might affect the neural tube GRN. The absence of consistent
positional information from Shh-Gli activity would mean that these biases
would be dominant. Accordingly, neighboring cells could adopt different
positional identities and the neural tube would consist of intermixed cell
identities.
A clear priority is to systematically identify new members of the neural
tube GRN, to dissect the regulatory mechanisms determining their expression
and to elucidate their own regulatory properties. In particular, it will be
important to identify the target genes that ultimately determine the subtype
identity of neurons generated from each of the progenitor domains. Moreover,
an array of cell behaviors, including cell proliferation and cell affinity, is
likely to contribute to the precise organization of DV pattern. Regulators of
these processes might be uncovered in the neural tube GRN. Finally, although
there is a clear divergence in the initiating events, an apparent conservation
is evident in neural patterning within vertebrate and invertebrate systems
(Chu et al., 1998
;
Denes et al., 2007
;
McDonald et al., 1998
;
Weiss et al., 1998
). Thus, it
is reasonable to speculate that the neural tube GRN is an evolutionarily
conserved, ancestral network that arose in the common ancestor of bilaterally
symmetrical animals.
Conclusions
The progress towards understanding DV patterning of the neural tube
provides insight into some of the underlying principles that determine the
exquisite pattern of vertebrate neurogenesis. What has been revealed is a
complex, integrated network of molecular and genetic interactions that
receives and interprets the positional information supplied by graded Shh
signaling. Importantly, neural target cells are not passive recipients of a
graded Shh signal; instead, the cells dynamically influence the spread of the
signal through the tissue and alter their response to the signal. This
suggests that in place of the conventional view of a morphogen
(Kerszberg and Wolpert, 2007
),
a definition needs to be considered in which the concentration and duration of
signaling, together with the response of the tissue, are critical for the
formation and interpretation of the morphogen gradient
(Box 1). Thus, signal and
tissue collaborate to produce a specific pattern. Our understanding will be
enhanced if these events can be dynamically imaged and quantified and the
complete neural tube GRN defined. A diversity of experimental approaches -
genetic, molecular, imaging and modeling - are required to provide a clearer
picture of this dynamic, multi-dimensional system.
In this review, we have focused on one crucial component, Shh. However, a
similar patterning strategy is thought to underlie neural specification in the
dorsal neural tube (Chizhikov and Millen,
2005
; Liu and Niswander,
2005
). Here, transforming growth factor (TGF) β and Wnt
family members are the dominant positional cues, but regulatory interactions
between transcription factors controlled by extrinsic and intrinsic signals
remain central to the control of positional identity. Furthermore, in addition
to their role in the dorsal neural tube, bone morphogenetic protein (BMP) and
Wnt signaling also appear to influence patterning in the ventral neural tube
(Alvarez-Medina et al., 2008
;
Lei et al., 2006
). How cells
integrate the effects of multiple co-incident signals in order to generate an
appropriate response will be a crucial question for future studies.
ACKNOWLEDGMENTS
We thank Eva Kutejova for helpful comments. E.D. is supported by EMBO and Marie Curie Fellowships. J.B. is supported by the MRC (UK). Work in A.P.M's laboratory is supported by grants from the NIH.
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