![]() |
Formats:
|
||||||||||||||||||||
Copyright © 2008 Elsevier B.V. 3D representation of Wnt and Frizzled gene expression patterns in the mouse embryo at embryonic day 11.5 (Ts19) aDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, College Green, Dublin, Ireland bMRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh EH6 2XU, Scotland, United Kingdom cICREA, EMBL-CRG Systems Biology Unit, Centre for Genomic Regulation, UPF, Dr. Aiguader, 88, 08003 Barcelona, Spain Paula Murphy: paula.murphy/at/tcd.ie Corresponding author. Tel.: +353 1 8963780; fax: +353 6778094. Email: paula.murphy/at/tcd.ieReceived November 7, 2007; Revised January 17, 2008; Accepted January 21, 2008. This document may be redistributed and reused, subject to certain conditions. This document was posted here by permission of the publisher.
At the time of the deposit, it included all changes made during peer review,
copy editing, and publishing. The U. S. National Library of Medicine is responsible
for all links within the document and for incorporating any publisher-supplied
amendments or retractions issued subsequently. The published journal article,
guaranteed
to be such by Elsevier, is available for free, on ScienceDirect, at: http://dx.doi.org/10.1016/j.gep.2008.01.007 This article has been cited by other articles in PMC.Abstract Wnt signalling is one of the fundamental cell communication systems operating in the embryo and the collection of 19 Wnt and 10 Frizzled (Fzd) receptor genes (in mouse and human) represent just part of a complex system to be unravelled. Here we present a spatially comprehensive set of data on the 3D distribution of Wnt and Fzd gene expression patterns at a carefully selected single stage of mouse development. Overviews and selected features of the patterns are presented and the full 3D data set, generated by fully described probes, is available to the research community through the Edinburgh Mouse Atlas of Gene Expression. In addition to being comprehensive, the data set has been generated and recorded in a consistent manner to facilitate comparisons between gene expression patterns with the capacity to generate matching virtual sections from the 3D representations for specific studies. Expression patterns in the left forelimb were selected for more detailed comparative description. In addition to confirming the previously published expression of these genes, our whole embryo and limb bud analyses significantly extend the data in terms of details of the patterns and the addition of previously undetected sites of expression. Our focussed analysis of expression domains in the limb, defined by just two gene families, reveals a surprisingly high degree of spatial complexity and underlines the enormous potential for local cellular interactions that exist within an emerging structure. This work also highlights the use of OPT to generate detailed high-quality, spatially complex expression data that is readily comparable between specimens and can be reviewed and reanalysed as required for specific studies. It represents a core set of data that will be extended with additional stages of development and through addition of potentially interacting genes and ultimately other cross-regulatory communication pathways operating in the embryo. Keywords: Wnt, Fzd, OPT, Mouse embryo, 3D expression patterns, Comparative analysis 1. Results and discussion 1.1. The need for a comprehensive, integrated approach to gene expression analysis Differentiation and morphogenesis are guided by a myriad of interactions of signalling molecules and signalling pathway components. One way in which signalling is controlled is through spatial and temporal restriction of the expression of genes encoding these molecules. To understand development we therefore need to follow the localisation of many gene products and this requires recording and retrieval of enormous amounts of data. A useful database to collect and display gene expression patterns has been compiled for the mouse by the Jackson Laboratories through Mouse Genome Informatics, where links to published and submitted data can be retrieved on a textual basis. However, published data from conventional gene expression analyses using whole-mount or section in situ hybridisation are limited and can often present only selected 2D images of the full 3D patterns that are not comparable across studies. For more complete knowledge it is necessary to record all sites of expression, as well as absence of expression, of developmentally important gene transcripts in time and 3D space. Such a challenging task has become feasible with the development of the 3D imaging technique Optical Projection Tomography (OPT; Sharpe, 2003; Sharpe et al., 2002). OPT has been used in a variety of developing systems including human, mouse, chick, Drosophila and the plant Arabdopsis thaliana (Borello et al., 2006; DeLaurier et al., 2006; Kerwin et al., 2004; Lee et al., 2006; Lioubinski et al., 2006; McGurk et al., 2007; Miller et al., 2007; Sharpe et al., 2002). A particular advantage over other 3D imaging methods, such as confocal microscopy and Single Plane Illumination Microscopy (Huisken et al., 2004), is its ability to image the colourometric stains widely used for gene expression analyses. OPT is thus the most suitable 3D imaging method for simultaneously recording embryo morphology and gene expression patterns in mid-gestation vertebrate embryos. To facilitate a comprehensive and integrative view of gene expression in the embryo, computing resources are required to store, retrieve and analyse large amounts of complex data. The Edinburgh Mouse Atlas of Gene Expression (EMAGE) (Baldock et al., 2003) pioneered the development of such tools and currently represents gene expression in time and space by mapping 2D expression data to reference 3D model embryos. Other initiatives generate and represent genome-wide 2D section expression data in query-able databases; EUREXPRESS (www.eurexpress.org), GENEPAINT (Visel et al., 2004) and the Allen Brain Atlas for adult mouse brain (Lein et al., 2007). By using OPT and advanced computing tools (Christiansen et al., 2006) 3D gene expression in the embryo can be represented in a database. Here we describe a focussed, comprehensive set of 3D data assembled in a consistent manner for inclusion in such a database. These data underline the enormous increase in information, of both expressing and non-expressing sites, represented when data are captured and analysed in 3D, the improved capacity for precise cross-gene comparison by being able to move through the 3D spatial representations and the added information in terms of aspects of the patterns (peaks and gradients in 3D) not readily appreciable from 2D sections. 1.2. Wnt and Frizzled gene expression patterns: generating and analysing the 3D data Wnt signalling is one of the basic mechanisms of cell communication in all multicellular animals (Prud’homme et al., 2002; Schubert et al., 2000). It is important during development and homeostasis (reviewed in Cadigan and Nusse, 1997; Nusse, 2005), required for the availability of stem cells in adult tissues (Lowry et al., 2005) and implicated in the pathology of cancers (Major et al., 2007; Reya and Clevers, 2005). During development Wnt signalling is required for the establishment of most structures and systems, for example in the Central Nervous System (CNS) (e.g. Hall et al., 2000; Lee et al., 2000), somites (e.g. Galceran et al., 2001; Tajbakhsh et al., 1998), kidney (e.g. Kispert et al., 1998; Park et al., 2007) and many more. Elucidation of the diverse roles played by Wnt signalling during development is challenged by the complexity of the system with 19 known Wnt genes in the human and mouse, the products of which may interact with 10 Frizzled (Fzd) receptor gene products (reviewed in Huang and Klein, 2004), and/or an increasing number of additional/alternative receptors to stimulate at least three different types of pathway (reviewed in Gordon and Nusse, 2006). Furthermore the signal-receptor interaction can be modulated by a variety of extracellular proteins that can bind either to the ligands or receptors (reviewed in Kawano and Kypta, 2003). To reveal principles about Wnt pathway action in the developing embryo we need to consider groups of molecules working together in modules of activity (Hartwell et al., 1999) and here we begin to explore how data on distribution of a subset of the relevant molecules, Wnt and Frizzled gene transcripts, can be assembled in a manner that facilitates an integrated approach. This study represents the starting point for a systematic collection of detailed 3D expression patterns across key stages of mouse embryonic development where data can be readily cross-compared and compiled in a searchable database. We present the first description of the data illustrating the quality and resolution achieved, the capacity for cross comparison and the limitations. To present a manageable amount of data we show only the expression of the genes encoding the Wnt signalling molecules (19 genes) and the Fzd receptors (10 genes) at a single stage of development; embryonic day (E) 11.5, Theiler stage (Ts) 19. For cross-comparison of the expression patterns we focus on the developing forelimb bud, an important site of Wnt regulated morphogenesis, to document and illustrate the potential of a comprehensive set of 3D data for these signalling molecule and receptor genes. The stage was chosen as a point just prior to overt cellular differentiation when the bud is composed of multiple territories that need to be defined in context of their gene expression patterns. Probes representing each of the 19 Wnt genes and 10 Fzd receptor genes were hybridised to a minimum of 10 Ts19 embryos in at least two independent experiments, however some more difficult patterns were generated in up to six experiments. A minimum of two specimens for each gene were scanned using OPT and the pattern reconstructed in 3D, and many were reconstructed up to 10 times to optimise parameters and check for variability. Movies showing 3D volume representations of the whole embryo pattern for each of the 29 genes can be viewed on a dedicated website; http://www.tcd.i/Zoology/research/WntPathway/. Fig. 1
We conclude that using carefully stage-matched specimens and selecting appropriate staining intensities, comparable 3D representations of expression patterns can be generated quickly. In light of our experience in this study, we recommend at least two independent hybridisations using 4–5 stage-matched embryos for each probe/stage, selecting a minimum of two structurally sound and appropriately stained embryos for scanning. The images shown in Fig. 1
Fig. 2 3D data at a similar level of detail and in database-ready form have been captured for the other 28 genes in the study (summarised in Table 1, available to view in 3D on http://www.tcd.i/Zoology/research/WntPathway/ and through EMAGE database entries). Tables 1 and 2 in Supplementary data list all of the noted sites of expression for each gene as well as previously published descriptions. The only gene for which no detectable expression above background levels was recorded was Fzd2. In all other cases our data extend previously published observations in terms of details of the pattern and newly recorded sites of expression.
1.3. Verification of the expression patterns Our ability to fully represent a gene expression pattern using OPT depends on our ability to fully capture that pattern using whole-mount in situ hybridisation. To ensure that we are seeing the full pattern we compared in situ hybridisation to embryo sections with virtual sections from 3D OPT generated data (Fig. 3
One limitation of the OPT data is that the resolution is not cellular so in some cases, particularly if the staining is strong, it is difficult to determine if expression in subectodermal mesenchyme extends into the ectoderm. In such cases, where the question is of importance to the system under study, it may be necessary to supplement OPT data with physical sections. For this reason we examined physical sections of whole-mount preparations to view expression of Wnt5a and Fzd10 in the distal limb. Physical sections showed that both genes are expressed in the AER at this stage (not shown); the literature reports a decline in the expression of Wnt5a in the AER from E11.5 (Gavin et al., 1990). 1.4. Overview of the patterns and selected observations Table 1 summarises the data dividing the embryo into anatomical territories which are scored as expressing or not expressing (blank) each of the Wnt and Fzd genes. Despite the obvious limitation of such a textually based table to represent spatial patterns, it is clear that the majority of genes are expressed in multiple territories and each territory expresses a subset of the genes. The 3D data representations produced in this study and described here could be analysed to reveal and compare spatial distributions in each of these territories in detail. For example 21 of the 29 genes are expressed in the developing brain, 15 within the telencephalon. It is also interesting to note that a relatively large number of genes are expressed in the otic vesicle and the eye, each in specific and complementary territories within these developing sensory structures. One way to analyse the full complement of genes in a territory would be to select matching sections from the 3D representations for each expressed gene noted here (Miller et al., 2007). An example of such an analysis is performed below for the limb (Section 1.5). However in addition to simply comparing sections across specimens, in the longer-term the datasets could also be used for a full 3D comparison of gene expression patterns – a goal which relies on the spatially-complete datasets made feasible by OPT and presented here. Tables 1 and 2 in Supplementary data list sites of expression for each gene indicating newly described sites and added detail. The amount of pre-existing data varies but even for the most thoroughly described patterns additional aspects have emerged. For example the well documented domain of Wnt1 at the midbrain/hindbrain boundary (Bally-Cuif et al., 1992; Dymecki and Tomasiewicz, 1998; Wilkinson et al., 1987) is no longer throughout the dorsoventral extent of the neural tube at Ts19 but, while strong in the dorsal midline, is absent from the ventral floor and is restricted to the marginal zone in basal and alar territories (Fig. 4
One generalisation that could be made from our survey is that Fzd genes tend to show more extensive and less tightly defined expression domains than Wnt genes (Fig. 1 Most of the Wnt and Fzd genes have multiple sites of expression in different systems, but there are notable exceptions. Wnt8b is specific to the forebrain where the pattern has been well described previously at Ts17 (Richardson et al., 1999; Theil et al., 2002). Here we show extra details of the pattern in 3D at Ts19 in the cortical hem and choroid invagination (http://www.tcd.i/Zoology/research/WntPathway/), and an additional domain in symmetrical stripes in the diencephalon (Fig. 3 There are notable similarities between other paralogous pairs of genes. Although distinctive, there are a number of similarities in the expression patterns of Wnt7a and Wnt7b in the CNS, limb ectoderm and otic vesicle. In cross section of the neural tube for example, Wnt7a is expressed in a broad domain at the midpoint tapering to ventricular toward the ventral (Fig. 4 1.5. Focus on the developing forelimb The vertebrate limb is an excellent model of morphogenesis, beginning with the appearance of limb buds on the flank of the embryo from E9. Patterning is co-ordinated by the activities of at least three well described signalling centres, the Apical Ectodermal Ridge (AER), the polarising region and the dorsal ectoderm (reviewed in Johnson and Tabin, 1997). Such activity contributes to generating a cellular pattern for the later production of elements such as the digits, with species specific characteristic position, size and shape. Details of late morphogenesis, for example the positioning of joints in skeletal elements and the mechanisms that pattern the arrangement of muscles, tendons and ligaments remain largely unknown. Wnt signalling has been implicated in a number of aspects of limb development; in the initial positioning and outgrowth of the chick limb bud and later in patterning of the structure. In particular mouse mutations in two Wnt genes have shown their importance; Wnt5a in proximo-distal outgrowth (Yamaguchi et al., 1999) and Wnt7a in dorso/ventral patterning (Parr et al., 1998; Parr and McMahon, 1995; Yang and Niswander, 1995). However this is only part of the story: different Wnt gene transcripts and components of Wnt signalling pathways are dynamically localised within the developing limb, suggesting distinct roles for different Wnt genes or different regulatory scenarios for Wnt expression in different territories in the limb. Here we show how data on distribution of Wnt and Frizzled gene transcripts can be assembled in a manner that facilitates an integrated approach to considering groups of molecules working together to pattern territories in the developing limb at a time just prior to overt cellular differentiation. Eighteen of the twenty-nine Wnt and Fzd genes are expressed in localised domains within the developing forelimb bud at Ts19; 11 Wnts and 7 Fzds (Tables 1 and 2). In addition Wnt16 is expressed in limb mesenchyme around the future skeletal elements in the positions of the future elbow and digit joints by Ts20 (not shown) and Fzd3 is expressed throughout the limb mesenchyme, slightly elevated in the proximal anterior region. 3D movies of the limb patterns are available at http://www.tcd.i/Zoology/research/WntPathway/, Table 2 summarises the expression in named limb subdomains and Fig. 5
Aspects of the expression of several Wnt genes in the limb were previously undescribed. For example analysis of the complete set of serial virtual sections through the specimens revealed expression of Wnt2 and Wnt4 in localised patches of proximal limb mesenchyme (Fig. 5 Wnt6 is clearly expressed in the AER (Fig. 5 Most of the AER expressing Wnts are either expressed throughout the distal most limb (5a) or are ectoderm specific (10a, 10b and 6), except Wnt11 which is expressed in complex territories within the mesenchyme along its proximo-distal extent, not adjacent to the AER. From whole-mount views the expression appears to be at the “core” of the limb bud (Christiansen et al., 1995) but on section analysis it is clear that the expression is excluded from the very centre of the limb and is more subectodermal. A comparison with Alcian blue staining shows that the domains do not overlap with forming cartilage. Comparison with other Wnt and Fzd expression patterns shows that it overlaps partially with expression of Fzd1 and Fzd8. In addition to the AER, Wnt10a and Wnt10b are also expressed in localised patches of ectoderm in the proximal limb. Both are expressed in ventral ectoderm at the base of the limb where Wnt10a extends more distally along the limb shaft. Wnt10b is most strongly expressed in an anterior patch on the ventral limb bud base, with a lower level patch just posterior to the midline (see 3D movie of the cropped limb http://www.tcd.i/Zoology/research/WntPathway/). The ectoderm at the base of the limb bud is in fact a site of expression of multiple Wnt and Fzd genes although the exact distribution and the foci of most intense patches of expression are different for each (Fig. 5 One of the best-studied Wnt genes in the context of limb development is Wnt7a which has been shown to be important in signalling from the dorsal ectoderm and D/V patterning of the limb (Parr et al., 1998; Parr and McMahon, 1995; Yang and Niswander, 1995). Here we see that at Ts19 the dorsal ectoderm expression of Wnt7a is only found in the distal bud; in proximal regions expression is localised in ventral ectoderm. The paralogous gene Wnt7b is also expressed in the ventral ectoderm, extending more distally than 7A and is not expressed in the distal dorsal ectoderm so that transverse sections mid way along the handplate show Wnt7a in the dorsal and Wnt7b in the ventral ectoderm (Fig. 5 Wnt9a has been reported in the region of future skeletal joints in the mesenchyme of E11.5 mouse limbs (Guo et al., 2004) but we record no such expression at Ts19. This may be a staging issue since Guo et al. also report expression of Wnt16 in the territory of future joints at E11.5 which we record only very lightly stained in one specimen at Ts19 but clearly visible by Ts21. Nevertheless, we did not record any Wnt9a expression in the limbs of Ts20 embryos. It is important to note the dynamism of many of these patterns where we see differences in the expression of some genes among embryos that could be classified as Ts19. For example in very late Ts19 and Ts20 limbs Wnt10b and Wnt11 are no longer expressed in the AER. This underlines the importance of careful stage matching in comparative studies. Two of the Fzd genes (2 and 5) did not show expression in the limb buds, while Fzd3 expression was not localised and Fzd7 and 9 showed widespread expression in the mesenchyme. Only Fzd9 and Fzd10 expression was previously reported at Ts19 in the mouse limb bud (Nunnally and Parr, 2004; Wang et al., 1999) while expression of Fzd1, Fzd3, Fzd6, Fzd7 and Fzd9 was briefly noted in the limb buds of earlier embryos (Borello et al., 1999). As reported by Wang et al. (1999), we observed Fzd9 expression in the mesenchyme of the future digits in the distal limb bud and additionally in dorsal mesenchyme of the limb shaft. We observed very similar expression of Fzd10 in the progress zone as was observed by Nunnally and Parr (2004), with expression distributed uniformly in a broad band of distal mesenchyme and ectoderm. In contrast expression analysis in the chick embryo has shown localised expression in the polarising region (Kawakami et al., 2000). It is possible that localised Wnt activity within the polarising region might be controlled at a level other than localisation of a specific receptor in the mouse. Alternatively, Wnt activity may be conveyed by a different Fzd. In this context we note elevated Fzd4 expression in the posterior region of distal limb mesenchyme. Fzd3 and Fzd7 transcripts are also present in this region although again not localised to the polarising region. The selected descriptions compiled here reveal a number of new characteristics of Wnt and Fzd gene expression patterns. For example in the limb there are areas where multiple genes are expressed; hotspots of Wnt and Fzd gene transcription. These include very specific individual patterns within the surface ectoderm at the base of the limb, some highest in the anterior and complex patterns in the mesenchyme (Table 2). It is clear that the patterns do not relate simply to the known signalling centres in the limb supporting the concept of local interactions operating throughout the limb field. In some cases these interactions contribute to the demonstrated activities of signalling centres, for example Wnt7a in dorsal ectoderm (Parr and McMahon, 1995) and from the data here perhaps Fzd4 (or other more widely expressed Fzd genes) in the polarising region. Others may be involved in local interactions superimposed on or integrated with signals from previously defined signalling centres. This study produced a volume of expression data that cannot be described entirely in a research paper. The full data set however can be viewed superficially at http://www.tcd.i/Zoology/research/WntPathway/ and is available through the EMAGE database. 1.6. Scope of the study A number of large scale gene expression surveys have been undertaken to address our need to record the localisation of transcripts of developmental regulatory genes in the mouse, surveys of all transcription factor genes (Gray et al., 2004), genes expressed in the developing and mature retina (Blackshaw et al., 2004), the brain (Lein et al., 2007), the developing genitourinary tract (GUDMAP; Little et al., 2007), and data generated by the EUREXPRESS project (www.eurexpress.org). In contrast to such studies that examine a much larger set of genes in high-throughput screens, the focus of the effort here is to capture the data as completely as possible; complete in the sense of full spatial distribution and examination of all genes of a particular type. It is therefore possible to list from this work all sites of Wnt or Fzd gene expression in the Ts19 mouse embryo detectable by whole-mount in situ hybridisation and to identify any site where a gene or group of these genes is not expressed at a detectable level. This represents a core set of data that can be built upon through the addition of other interacting gene transcripts such as those encoding other Wnt pathway components (currently under assembly), components of pathways that cross regulate Wnt signalling and ultimately linking into wider networks. Compiled with a much larger set of data in this way, this work will contribute to finding patterns that identify networks and modules of activity so that such modules can be examined functionally in the mouse and compared across species to gain an understanding of the evolution of molecular modules. The present study also allows cross gene comparison and has generated a resource which is suitable for a 3D data base that can be searched spatially. 3D recording allows aspects of the pattern, such as a very localised spot or the peak of a complex gradient, to be revealed. Such features cannot be fully represented in 2D, for example the concentration of Fzd1 transcripts in the anterior limb mesenchyme and the shape and distribution of patches of Wnt2, Wnt4 and Fzd4 in the limb (Fig. 5 Two limitations of in situ hybridisation however are important to note. Firstly the sensitivity of the technique may vary for different genes depending on the nature of the probes. The method cannot represent in absolute terms the respective levels of a particular transcript in different tissues or different transcripts in co-localised domains. Secondly, the dynamic range of the in situ visualisation methods currently used is such that it is not always possible to detect the lowest level of abundance of transcript without saturating detection at the highest level thus loosing, for example, an indication of expression gradients. The inevitable limits of sensitivity of the technique mean that the full domain of expression may actually extend beyond that recorded. However it should be noted that we do not know the functional relevance of a particular expression level so, while bearing this issue in mind the emphasis is on reliable recording (consistency across multiple specimens) of spatially-controlled patterns. In this study, we have made an effort to demonstrate the lowest levels of expression above background with selection of staining intensities that maximise capture of data across a range of levels. Certain features of the patterns, like the proximal limit of the Wnt5a graded expression in the limb, may vary slightly from specimen to specimen and it is therefore important to select the best specimens showing the clearest staining for 3D capture and entry into the database. 1.7. Mapping domains on to reference embryos for comparison and the potential for spatial searching of the data As illustrated in Section 1.5, the 3D data can be compared across specimens by viewing stage and position matched virtual sections (Fig. 5 Mapping signal domains in 3D is a complex problem not yet fully resolved. A simple alternative is to map signal from a section of the original 3D image to the corresponding section plane through the reference model. Examples of such ‘2D-mapped’ data are shown in Fig. 6
The aim of producing a 3D dataset that can be spatially mapped and thus searched is important in order to maximise the benefits of capturing the full 3D data in a database. Only in this way can the spatial relationships within this complex data be explored. An impression of the limitation of a textual record is given in Table 1 which summarises the spatial distribution of the full gene set; this table can convey that a certain number of genes are expressed in a particular developing structure of the embryo but does not reveal their spatial relationship. In the presentation of the limb expression patterns here and the attempted descriptions, it is clear that many of the domains challenge textual representation. For example the expression of several genes in the limb mesenchyme, described as “complex mesenchyme” (Table 2), cannot be defined in terms of known anatomical domains. Therefore spatial recording of 3D domains within a common reference (through 3D mapping) is needed to permit sophisticated comparisons across potentially interacting genes. Here we present the original data for inclusion in such a 3D database which in addition to allowing direct analysis and detailed comparisons provides a frame for mapping, searching and retrieving the data based on spatial distribution. 2. Experimental procedures 2.1. Probes Details of the probes used to generate the data presented for each of the genes is shown in Table 3 Supplementary data. Multiple probes were assayed for some of the genes showing variable sensitivity but no significant differences in the patterns. 2.2. Embryo collection Embryos were collected from time-mated CD1 females on the morning of the 12th day following detection of a vaginal plug (E11.5). The embryos were precisely staged using Theiler criteria (Theiler, 1972), typically ranged between Ts18 and 20. Stage-matched embryos at mid-late Ts19 with a circular foot plate on the hindlimb and a characteristic oval shape in frontal view of the telencephalic vesicles were selected for the expression analysis presented here. The CD1 outbred strain was chosen for the establishment of a Wnt expression database in order to represent the normal expression pattern of these genes. No obvious variability in expression pattern was noted between specimens. It may be useful in the future to compare the expression of particular genes in inbred strains used in genetic manipulation studies to the CD1 pattern in the database, presently described. 2.3. In situ hybridisation (ISH) The protocol used was largely as per Xu and Wilkinson (1998), optimised for OPT visualisation with the following changes: probe concentration of 1 μg/ml; post-hybridisation washes at 65 °C were 1× 5min in 50% formamide/5× SSC/0.5% CHAPS, then three serial 30 min washes in decreasing concentrations of formamide, SSC and CHAPS, culminating in 2× 30 min wash in 2× SSC/0.1% CHAPS and 2× 30 min in 0.2× SSC/0.1% CHAPS; preantibody blocking was in 3% blocking powder (Roche) in Maleic acid buffer; staining was carried out in the absence of Triton X-100. A minimum of two independent hybridisations with five embryos per probe were carried out for each gene where the expression patterns were very clear; for more difficult patterns up to six hybridisations were carried out often altering the probe being used. Each hybridisation included a sense control probe and Fgf8 (Crossley and Martin, 1995) as a standard by which to judge consistency across experiments. Since Fgf8 is expressed at different levels in different tissues, noting the time taken for staining to appear in the AER, the somites and the midbrian–hindbrain junction for example gave a good indication of the sensitivity of the experiment. For the best OPT reconstruction data the intensity of colourometric stain should be moderate (as described in results). Also a low level of background staining of the tissue (so the tissue appears vaguely pink, Fig. 1 Embryos were physically sectioned (20–30 μm) using a Bright Model OTF Cryostat either prior to or following ISH. Embryos were fixed in 4% Paraformaldehyde overnight and embedded in 1.5% agarose, 5% sucrose. Trimmed blocks were equilibrated in 30% sucrose solution until they sank (usually overnight) and slowly frozen over a dry ice bath. About 20–30 μm sections were collected on BDH superfrost + slides and stored at −20 °C until hybridisation. In situ hybridisation to sections was carried out largely as described in Moorman et al. (2001) except proteinase K treatment was 10 μg/ml in 50 mM Tris, 5 mM EDTA for 5 min, the post-proteinase K fixation was in 4% paraformaldehyde, sections were dehydrated through an ethanol series prior to addition of probe, there was no pre-hybridisation and coverslips were used over the hybridisation solution, hybridisation was at 55 °C overnight, post-hybridisation washes were 2× 20–30 min in 50% formamide, 2× SSC, 65 °C; 3× 10 min in 2× SSC, 65 °C; 3× 10 min in 0.2× SSC, RT; 2× 10 min in TNT (100 mM Tris, pH 7.5, 150 mM NaCl, 1% Tween-20) at RT. The blocking solution for immunological detection of probe was Maleic acid buffer with 3% blocking powder (Roche). Alcian blue staining was carried out as per Hogan et al. (1994). 2.4. OPT scanning and 3D reconstruction After photographing the whole-mount data, at least two perfectly intact specimens from each hybridisation, representative of the externally visible pattern, were selected for OPT scanning. They were embedded in 1% low melting point agarose, dehydrated in MeOH overnight and cleared in benzyl benzoate/benzyl alcohol (1:2) (BABB) for at least 5 h (as previously described, Sharpe et al., 2002). Projection images of the specimens were captured in a prototype OPT scanner constructed at the MRC Human Genetics Unit, Edinburgh (Sharpe et al., 2002) and installed in the Zoology Department Trinity College Dublin. A Q imaging Retiga Exi camera was used to record images through a 360° rotation of the specimen viewed through a Leica MZ FLIII microscope with a plan 0.5× objective. Visible illumination was from a 20 W halogen lamp. At least two scans were performed for each specimen using visible light either with or without a 700 nm longpass filter, depending on staining intensity, to capture the expression pattern and under UV light using either a TXR filter (560/40 nm excitation, 610LP nm emission) or a GFP1 filter (425/60 nm excitation, 480 nm emission) to capture autofluorescence from the tissue to reconstruct embryo morphology. autofluorescence was found to be stronger using the GFP filter, however autofluorescence from blood was particularly strong under these conditions sometimes distorting the resulting 3D reconstruction. The raw data (400 projected images) from each of the scans were loaded onto a Linux workstation, reconstructed using a set of programmes provided by the Edinburgh Mouse Atlas Project (EMAP) and analysed using custom made software (MA3DView and MAPaint), again provided by EMAP. The isotropic voxel dimension of the objects is ~10 μm. To focus on expression in the limb, limbs were either dissected physically prior to scanning (not shown) or digitally cropped from full specimens for detailed comparison (Fig. 5 Movies of whole embryos representing each of the gene expression patterns and movies of cropped limbs showing limb specific expression are available on a dedicated web site http://www.tcd.ie/Zoology/research/WntPathway/. Tables describing all expression patterns, including novel sites and previously described data (Supplementary data Table 1 (Wnt genes) and Supplementary data Table 2 (Fzd genes). Table 3: details of all expression probes used. Data is entered in the EMAGE database and full3D representations are available at http://genex.hgu.mrc.ac.uk/das/jsp/submission.jsp?id=EMAGE:####, by using the following entry IDs (in the terminal position of the web link): Fzd1; EMAGE:3939, Fzd2; EMAGE:3940, Fzd3; EMAGE:3941, Fzd4; EMAGE:3942, Fzd5; EMAGE:3943, Fzd6; EMAGE:3944, Fzd7; EMAGE:3945, Fzd8; EMAGE:3946, Fzd9; EMAGE:3947, Fzd10; EMAGE:3948, Wnt1; EMAGE:3949, Wnt2; EMAGE:3950, Wnt2b; EMAGE:3951, Wnt3; EMAGE:3952, Wnt3a; EMAGE:3953, Wnt4; EMAGE:3954, Wnt5a; EMAGE:3955, Wnt5b; EMAGE:3956, Wnt6; EMAGE:3957, Wnt7a; EMAGE:3958, Wnt7b; EMAGE:3959, Wnt8a; EMAGE:3960, Wnt8b; EMAGE:3961, Wnt9a; EMAGE:3962, Wnt9b; EMAGE:3963. Wnt10a; EMAGE:3964, Wnt10b; EMAGE:3965, Wnt11; EMAGE:3966, Wnt16; EMAGE:3967. Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.gep.2008.01.007. Appendix A. Supplementary data Supplementary Table 1 Wnt gene expression sites at Theiler stage (Ts) 19. List of previously published sites and extended and novel descriptions in the present study. n = the number of specimens fully reconstructed in 3D (number of embryos hybridised from which the reconstructed specimens were selected as representative). Click here to view.(238K, doc) Supplementary Table 2 Fzd gene expression sites at Theiler stage (Ts) 19. List of previously published sites and extended and novel descriptions in the present study. n = the number of specimens fully reconstructed in 3D (number of embryos hybridised from which the reconstructed specimens were selected as representative). Click here to view.(147K, doc) Supplementary Table 3 Supplementary data: details of gene expression probes. Click here to view.(28K, doc) Acknowledgements This work was supported entirely by Science Foundation Ireland (Programme Award 02/IN1/B267). We would like to thank several members of the Edinburgh Mouse Atlas Project for helpful discussion, advice, software and assistance with its use, particularly Richard Baldock, Bill Hill and Peter Stevenson. We thank S. Venkataraman and Jeff Christiansen for help in entering the data in EMAGE. We thank Gareth Brady for technical assistance and Harris Morrison for help and advice in running OPT. We thank several researchers who provided plasmid DNA for the production of expression probes (Table 3). References Baldock et al., 2003. Baldock R.A., Bard J.B., Burger A., Burton N., Christiansen J., Feng G., Hill B., Houghton D., Kaufman M., Rao J., Sharpe J., Ross A., Stevenson P., Venkataraman S., Waterhouse A., Yang Y., Davidson D.R. EMAP and EMAGE: a framework for understanding spatially organized data. Neuroinformatics. 2003;1:309–325. [PubMed] Bally-Cuif et al., 1992. Bally-Cuif L., Alvarado-Mallart R.M., Darnell D.K., Wassef M. Relationship between Wnt-1 and En-2 expression domains during early development of normal and ectopic met-mesencephalon. Development. 1992;115:999–1009. [PubMed] Blackshaw et al., 2004. Blackshaw S., Harpavat S., Trimarchi J., Cai L., Huang H., Kuo W.P., Weber G., Lee K., Fraioli R.E., Cho S.H., Yung R., Asch E., Ohno-Machado L., Wong W.H., Cepko C.L. Genomic analysis of mouse retinal development. PLoS Biol. 2004;2:E247. [PubMed] Bleul and Boehm, 2001. Bleul C.C., Boehm T. Laser capture microdissection-based expression profiling identifies PD1-ligand as a target of the nude locus gene product. Eur. J. Immunol. 2001;31:2497–2503. [PubMed] Borello et al., 2006. Borello U., Berarducci B., Murphy P., Bajard L., Buffa V., Piccolo S., Buckingham M., Cossu G. The Wnt/beta-catenin pathway regulates Gli-mediated Myf5 expression during somitogenesis. Development. 2006;133:3723–3732. [PubMed] Borello et al., 1999. Borello U., Buffa V., Sonnino C., Melchionna R., Vivarelli E., Cossu G. Differential expression of the Wnt putative receptors Frizzled during mouse somitogenesis. Mech. Dev. 1999;89:173–177. [PubMed] Cadigan and Nusse, 1997. Cadigan K.M., Nusse R. Wnt signaling: a common theme in animal development. Genes Dev. 1997;11:3286–3305. [PubMed] Christiansen et al., 1995. Christiansen J.H., Dennis C.L., Wicking C.A., Monkley S.J., Wilkinson D.G., Wainwright B.J. Murine Wnt-11 and Wnt-12 have temporally and spatially restricted expression patterns during embryonic development. Mech. Dev. 1995;51:341–350. [PubMed] Christiansen et al., 2006. Christiansen J.H., Yang Y., Venkataraman S., Richardson L., Stevenson P., Burton N., Baldock R.A., Davidson D.R. EMAGE: a spatial database of gene expression patterns during mouse embryo development. Nucleic Acids Res. 2006;34:D637–D641. [PubMed] Crossley and Martin, 1995. Crossley P.H., Martin G.R. The mouse Fgf8 gene encodes a family of polypeptides and is expressed in regions that direct outgrowth and patterning in the developing embryo. Development. 1995;121:439–451. [PubMed] DeLaurier et al., 2006. DeLaurier A., Schweitzer R., Logan M. Pitx1 determines the morphology of muscle, tendon, and bones of the hindlimb. Dev. Biol. 2006;299:22–34. [PubMed] Dymecki and Tomasiewicz, 1998. Dymecki S.M., Tomasiewicz H. Using Flp-recombinase to characterize expansion of Wnt1-expressing neural progenitors in the mouse. Dev. Biol. 1998;201:57–65. [PubMed] Galceran et al., 2001. Galceran J., Hsu S.C., Grosschedl R. Rescue of a Wnt mutation by an activated form of LEF-1: regulation of maintenance but not initiation of Brachyury expression. Proc. Natl. Acad. Sci. USA. 2001;98:8668–8673. [PubMed] Gavin et al., 1990. Gavin B.J., McMahon J.A., McMahon A.P. Expression of multiple novel Wnt-1/int-1-related genes during fetal and adult mouse development. Genes Dev. 1990;4:2319–2332. [PubMed] Gordon and Nusse, 2006. Gordon M.D., Nusse R. Wnt signaling: multiple pathways, multiple receptors, and multiple transcription factors. J. Biol. Chem. 2006;281:22429–22433. [PubMed] Gray et al., 2004. Gray P.A., Fu H., Luo P., Zhao Q., Yu J., Ferrari A., Tenzen T., Yuk D.I., Tsung E.F., Cai Z., Alberta J.A., Cheng L.P., Liu Y., Stenman J.M., Valerius M.T., Billings N., Kim H.A., Greenberg M.E., McMahon A.P., Rowitch D.H., Stiles C.D., Ma Q. Mouse brain organization revealed through direct genome-scale TF expression analysis. Science. 2004;306:2255–2257. [PubMed] Grove et al., 1998. Grove E.A., Tole S., Limon J., Yip L., Ragsdale C.W. The hem of the embryonic cerebral cortex is defined by the expression of multiple Wnt genes and is compromised in Gli3-deficient mice. Development. 1998;125:2315–2325. [PubMed] Guo et al., 2004. Guo X., Day T.F., Jiang X., Garrett-Beal L., Topol L., Yang Y. Wnt/beta-catenin signaling is sufficient and necessary for synovial joint formation. Genes Dev. 2004;18:2404–2417. [PubMed] Hall et al., 2000. Hall A.C., Lucas F.R., Salinas P.C. Axonal remodeling and synaptic differentiation in the cerebellum is regulated by WNT-7a signaling. Cell. 2000;100:525–535. [PubMed] Hartwell et al., 1999. Hartwell L.H., Hopfield J.J., Leibler S., Murray A.W. From molecular to modular cell biology. Nature. 1999;402:C47–C52. [PubMed] Hogan et al., 1994. Hogan B.L., Beddington R., Costantini F., Lacy E. Cold Spring Harbour Press; 1994. Manipulating the Mouse Embryo. Huang and Klein, 2004. Huang H.C., Klein P.S. The Frizzled family: receptors for multiple signal transduction pathways. Genome Biol. 2004;5:234. [PubMed] Huisken et al., 2004. Huisken J., Swoger J., Del Bene F., Wittbrodt J., Stelzer E.H. Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science. 2004;305:1007–1009. [PubMed] Johnson and Tabin, 1997. Johnson R.L., Tabin C.J. Molecular models for vertebrate limb development. Cell. 1997;90:979–990. [PubMed] Kawakami et al., 2000. Kawakami Y., Wada N., Nishimatsu S., Nohno T. Involvement of frizzled-10 in Wnt-7a signaling during chick limb development. Dev. Growth Differ. 2000;42:561–569. [PubMed] Kawano and Kypta, 2003. Kawano Y., Kypta R. Secreted antagonists of the Wnt signalling pathway. J. Cell Sci. 2003;116:2627–2634. [PubMed] Kerwin et al., 2004. Kerwin J., Scott M., Sharpe J., Puelles L., Robson S.C., Martinez-de-la-Torre M., Ferran J.L., Feng G., Baldock R., Strachan T., Davidson D., Lindsay S. 3 dimensional modelling of early human brain development using optical projection tomography. BMC Neurosci. 2004;5:27. [PubMed] Kispert et al., 1998. Kispert A., Vainio S., McMahon A.P. Wnt-4 is a mesenchymal signal for epithelial transformation of metanephric mesenchyme in the developing kidney. Development. 1998;125:4225–4234. [PubMed] Lako et al., 1998. Lako M., Lindsay S., Bullen P., Wilson D.I., Robson S.C., Strachan T. A novel mammalian wnt gene, WNT8B, shows brain-restricted expression in early development, with sharply delimited expression boundaries in the developing forebrain. Hum. Mol. Genet. 1998;7:813–822. [PubMed] Lan et al., 2006. Lan Y., Ryan R.C., Zhang Z., Bullard S.A., Bush J.O., Maltby K.M., Lidral A.C., Jiang R. Expression of Wnt9b and activation of canonical Wnt signaling during midfacial morphogenesis in mice. Dev. Dyn. 2006;235:1448–1454. [PubMed] Lee et al., 2006. Lee K., Avondo J., Morrison H., Blot L., Stark M., Sharpe J., Bangham A., Coen E. Visualizing plant development and gene expression in three dimensions using optical projection tomography. Plant Cell. 2006;18:2145–2156. [PubMed] Lee et al., 2000. Lee S.M., Tole S., Grove E., McMahon A.P. A local Wnt-3a signal is required for development of the mammalian hippocampus. Development. 2000;127:457–467. [PubMed] Lein et al., 2007. Lein E.S., Hawrylycz M.J., Ao N., Ayres M., Bensinger A., Bernard A., Boe A.F., Boguski M.S., Brockway K.S., Byrnes E.J., Chen L., Chen L., Chen T.M., Chin M.C., Chong J., Crook B.E., Czaplinska A., Dang C.N., Datta S., Dee N.R., Desaki A.L., Desta T., Diep E., Dolbeare T.A., Donelan M.J., Dong H.W., Dougherty J.G., Duncan B.J., Ebbert A.J., Eichele G., Estin L.K., Faber C., Facer B.A., Fields R., Fischer S.R., Fliss T.P., Frensley C., Gates S.N., Glattfelder K.J., Halverson K.R., Hart M.R., Hohmann J.G., Howell M.P., Jeung D.P., Johnson R.A., Karr P.T., Kawal R., Kidney J.M., Knapik R.H., Kuan C.L., Lake J.H., Laramee A.R., Larsen K.D., Lau C., Lemon T.A., Liang A.J., Liu Y., Luong L.T., Michaels J., Morgan J.J., Morgan R.J., Mortrud M.T., Mosqueda N.F., Ng L.L., Ng R., Orta G.J., Overly C.C., Pak T.H., Parry S.E., Pathak S.D., Pearson O.C., Puchalski R.B., Riley Z.L., Rockett H.R., Rowland S.A., Royall J.J., Ruiz M.J., Sarno N.R., Schaffnit K., Shapovalova N.V., Sivisay T., Slaughterbeck C.R., Smith S.C., Smith K.A., Smith B.I., Sodt A.J., Stewart N.N., Stumpf K.R., Sunkin S.M., Sutram M., Tam A., Teemer C.D., Thaller C., Thompson C.L., Varnam L.R., Visel A., Whitlock R.M., Wohnoutka P.E., Wolkey C.K., Wong V.Y. Genome-wide atlas of gene expression in the adult mouse brain. Nature. 2007;445:168–176. [PubMed] Lioubinski et al., 2006. Lioubinski O., Alonso M.T., Alvarez Y., Vendrell V., Garrosa M., Murphy P., Schimmang T. FGF signalling controls expression of vomeronasal receptors during embryogenesis. Mech. Dev. 2006;123:17–23. [PubMed] Little et al., 2007. Little M.H., Brennan J., Georgas K., Davies J.A., Davidson D.R., Baldock R.A., Beverdam A., Bertram J.F., Capel B., Chiu H.S., Clements D., Cullen-McEwen L., Fleming J., Gilbert T., Herzlinger D., Houghton D., Kaufman M.H., Kleymenova E., Koopman P.A., Lewis A.G., McMahon A.P., Mendelsohn C.L., Mitchell E.K., Rumballe B.A., Sweeney D.E., Valerius M.T., Yamada G., Yang Y., Yu J. A high-resolution anatomical ontology of the developing murine genitourinary tract. Gene Expr. Patterns. 2007;7:680–699. [PubMed] Lowry et al., 2005. Lowry W.E., Blanpain C., Nowak J.A., Guasch G., Lewis L., Fuchs E. Defining the impact of beta-catenin/Tcf transactivation on epithelial stem cells. Genes Dev. 2005;19:1596–1611. [PubMed] Major et al., 2007. Major M.B., Camp N.D., Berndt J.D., Yi X., Goldenberg S.J., Hubbert C., Biechele T.L., Gingras A.C., Zheng N., Maccoss M.J., Angers S., Moon R.T. Wilms tumor suppressor WTX negatively regulates WNT/beta-catenin signaling. Science. 2007;316:1043–1046. [PubMed] McGurk et al., 2007. McGurk L., Morrison H., Keegan L.P., Sharpe J., O’Connell M.A. Three-dimensional imaging of Drosophila melanogaster. PLoS ONE. 2007;2:e834. [PubMed] Miller et al., 2007. Miller S.F., Summerhurst K., Runker A.E., Kerjan G., Friedel R.H., Chedotal A., Murphy P., Mitchell K.J. Expression of Plxdc2/TEM7R in the developing nervous system of the mouse. Gene Expr. Patterns. 2007;7:635–644. [PubMed] Moorman et al., 2001. Moorman A.F., Houweling A.C., de Boer P.A., Christoffels V.M. Sensitive nonradioactive detection of mRNA in tissue sections: novel application of the whole-mount in situ hybridization protocol. J. Histochem. Cytochem. 2001;49:1–8. [PubMed] Nunnally and Parr, 2004. Nunnally A.P., Parr B.A. Analysis of Fz10 expression in mouse embryos. Dev. Genes Evol. 2004;214:144–148. [PubMed] Nusse, 2005. Nusse R. Wnt signaling in disease and in development. Cell Res. 2005;15:28–32. [PubMed] Park et al., 2007. Park J.S., Valerius M.T., McMahon A.P. Wnt/{beta}-catenin signaling regulates nephron induction during mouse kidney development. Development. 2007;134:2533–2539. [PubMed] Parr et al., 1998. Parr B.A., Avery E.J., Cygan J.A., McMahon A.P. The classical mouse mutant postaxial hemimelia results from a mutation in the Wnt 7a gene. Dev. Biol. 1998;202:228–234. [PubMed] Parr and McMahon, 1995. Parr B.A., McMahon A.P. Dorsalizing signal Wnt-7a required for normal polarity of D–V and A–P axes of mouse limb. Nature. 1995;374:350–353. [PubMed] Prud’homme et al., 2002. Prud’homme B., Lartillot N., Balavoine G., Adoutte A., Vervoort M. Phylogenetic analysis of the Wnt gene family. Insights from lophotrochozoan members. Curr. Biol. 2002;12:1395. [PubMed] Reya and Clevers, 2005. Reya T., Clevers H. Wnt signalling in stem cells and cancer. Nature. 2005;434:843–850. [PubMed] Richardson et al., 1999. Richardson M., Redmond D., Watson C.J., Mason J.O. Mouse Wnt8B is expressed in the developing forebrain and maps to chromosome 19. Mamm. Genome. 1999;10:923–925. [PubMed] Schubert et al., 2000. Schubert M., Holland L.Z., Holland N.D., Jacobs D.K. A phylogenetic tree of the Wnt genes based on all available full-length sequences, including five from the cephalochordate amphioxus. Mol. Biol. Evol. 2000;17:1896–1903. [PubMed] Sharpe, 2003. Sharpe J. Optical projection tomography as a new tool for studying embryo anatomy. J. Anat. 2003;202:175–181. [PubMed] Sharpe et al., 2002. Sharpe J., Ahlgren U., Perry P., Hill B., Ross A., Hecksher-Sorensen J., Baldock R., Davidson D. Optical projection tomography as a tool for 3D microscopy and gene expression studies. Science. 2002;296:541–545. [PubMed] Stark et al., 1994. Stark K., Vainio S., Vassileva G., McMahon A.P. Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4. Nature. 1994;372:679–683. [PubMed] Tajbakhsh et al., 1998. Tajbakhsh S., Borello U., Vivarelli E., Kelly R., Papkoff J., Duprez D., Buckingham M., Cossu G. Differential activation of Myf5 and MyoD by different Wnts in explants of mouse paraxial mesoderm and the later activation of myogenesis in the absence of Myf5. Development. 1998;125:4155–4162. [PubMed] Theil et al., 2002. Theil T., Aydin S., Koch S., Grotewold L., Ruther U. Wnt and Bmp signalling cooperatively regulate graded Emx2 expression in the dorsal telencephalon. Development. 2002;129:3045–3054. [PubMed] Theiler, 1972. Theiler K. Springer; Berlin, Heidelberg, New York: 1972. The House Mouse. Visel et al., 2004. Visel A., Thaller C., Eichele G. GenePaint.org: an atlas of gene expression patterns in the mouse embryo. Nucleic Acids Res. 2004;32:D552–D556. [PubMed] Wang et al., 1999. Wang Y.K., Sporle R., Paperna T., Schughart K., Francke U. Characterization and expression pattern of the frizzled gene Fzd9, the mouse homolog of FZD9 which is deleted in Williams-Beuren syndrome. Genomics. 1999;57:235–248. [PubMed] Wilkinson et al., 1987. Wilkinson D.G., Bailes J.A., McMahon A.P. Expression of the proto-oncogene int-1 is restricted to specific neural cells in the developing mouse embryo. Cell. 1987;50:79–88. [PubMed] Xu and Wilkinson, 1998. Xu Q., Wilkinson D. In situ hybridisation of mRNA with hapten labelled probes. In: Wilkinson D.G., editor. In Situ Hybridisation: A Practical Approach. second ed. Oxford University Press; Oxford: 1998. pp. 87–106. Yamaguchi et al., 1999. Yamaguchi T.P., Bradley A., McMahon A.P., Jones S. A Wnt5a pathway underlies outgrowth of multiple structures in the vertebrate embryo. Development. 1999;126:1211–1223. [PubMed] Yang and Niswander, 1995. Yang Y., Niswander L. Interaction between the signaling molecules WNT7a and SHH during vertebrate limb development: dorsal signals regulate anteroposterior patterning. Cell. 1995;80:939–947. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||||
J Anat. 2003 Feb; 202(2):175-81.
[J Anat. 2003]Science. 2002 Apr 19; 296(5567):541-5.
[Science. 2002]Development. 2006 Sep; 133(18):3723-32.
[Development. 2006]Dev Biol. 2006 Nov 1; 299(1):22-34.
[Dev Biol. 2006]BMC Neurosci. 2004 Aug 6; 5():27.
[BMC Neurosci. 2004]Neuroinformatics. 2003; 1(4):309-25.
[Neuroinformatics. 2003]Nucleic Acids Res. 2004 Jan 1; 32(Database issue):D552-6.
[Nucleic Acids Res. 2004]Nature. 2007 Jan 11; 445(7124):168-76.
[Nature. 2007]Nucleic Acids Res. 2006 Jan 1; 34(Database issue):D637-41.
[Nucleic Acids Res. 2006]Curr Biol. 2002 Aug 20; 12(16):1395.
[Curr Biol. 2002]Mol Biol Evol. 2000 Dec; 17(12):1896-903.
[Mol Biol Evol. 2000]Genes Dev. 1997 Dec 15; 11(24):3286-305.
[Genes Dev. 1997]Cell Res. 2005 Jan; 15(1):28-32.
[Cell Res. 2005]Genes Dev. 2005 Jul 1; 19(13):1596-611.
[Genes Dev. 2005]Eur J Immunol. 2001 Aug; 31(8):2497-503.
[Eur J Immunol. 2001]Mech Dev. 1999 Dec; 89(1-2):173-7.
[Mech Dev. 1999]Genes Dev. 1990 Dec; 4(12B):2319-32.
[Genes Dev. 1990]Development. 1999 Mar; 126(6):1211-23.
[Development. 1999]Genes Dev. 1990 Dec; 4(12B):2319-32.
[Genes Dev. 1990]Gene Expr Patterns. 2007 Apr; 7(5):635-44.
[Gene Expr Patterns. 2007]Development. 1992 Aug; 115(4):999-1009.
[Development. 1992]Dev Biol. 1998 Sep 1; 201(1):57-65.
[Dev Biol. 1998]Cell. 1987 Jul 3; 50(1):79-88.
[Cell. 1987]Nature. 1994 Dec 15; 372(6507):679-83.
[Nature. 1994]Genes Dev. 1990 Dec; 4(12B):2319-32.
[Genes Dev. 1990]Mamm Genome. 1999 Sep; 10(9):923-5.
[Mamm Genome. 1999]Development. 2002 Jul; 129(13):3045-54.
[Development. 2002]Hum Mol Genet. 1998 May; 7(5):813-22.
[Hum Mol Genet. 1998]Genes Dev. 2004 Oct 1; 18(19):2404-17.
[Genes Dev. 2004]Dev Dyn. 2006 May; 235(5):1448-54.
[Dev Dyn. 2006]Cell. 1997 Sep 19; 90(6):979-90.
[Cell. 1997]Development. 1999 Mar; 126(6):1211-23.
[Development. 1999]Dev Biol. 1998 Oct 15; 202(2):228-34.
[Dev Biol. 1998]Nature. 1995 Mar 23; 374(6520):350-3.
[Nature. 1995]Cell. 1995 Mar 24; 80(6):939-47.
[Cell. 1995]Mech Dev. 1995 Jun; 51(2-3):341-50.
[Mech Dev. 1995]Dev Biol. 1998 Oct 15; 202(2):228-34.
[Dev Biol. 1998]Nature. 1995 Mar 23; 374(6520):350-3.
[Nature. 1995]Cell. 1995 Mar 24; 80(6):939-47.
[Cell. 1995]Genes Dev. 2004 Oct 1; 18(19):2404-17.
[Genes Dev. 2004]Dev Genes Evol. 2004 Mar; 214(3):144-8.
[Dev Genes Evol. 2004]Genomics. 1999 Apr 15; 57(2):235-48.
[Genomics. 1999]Mech Dev. 1999 Dec; 89(1-2):173-7.
[Mech Dev. 1999]Genomics. 1999 Apr 15; 57(2):235-48.
[Genomics. 1999]Dev Genes Evol. 2004 Mar; 214(3):144-8.
[Dev Genes Evol. 2004]Nature. 1995 Mar 23; 374(6520):350-3.
[Nature. 1995]Science. 2004 Dec 24; 306(5705):2255-7.
[Science. 2004]PLoS Biol. 2004 Sep; 2(9):E247.
[PLoS Biol. 2004]Nature. 2007 Jan 11; 445(7124):168-76.
[Nature. 2007]Gene Expr Patterns. 2007 Jun; 7(6):680-99.
[Gene Expr Patterns. 2007]Neuroinformatics. 2003; 1(4):309-25.
[Neuroinformatics. 2003]Development. 1995 Feb; 121(2):439-51.
[Development. 1995]J Histochem Cytochem. 2001 Jan; 49(1):1-8.
[J Histochem Cytochem. 2001]Science. 2002 Apr 19; 296(5567):541-5.
[Science. 2002]Genes Dev. 1990 Dec; 4(12B):2319-32.
[Genes Dev. 1990]