Literature DB >> 23868979

Modelling of human Wiskott-Aldrich syndrome protein mutants in zebrafish larvae using in vivo live imaging.

Rebecca A Jones1, Yi Feng, Austen J Worth, Adrian J Thrasher, Siobhan O Burns, Paul Martin.   

Abstract

Wiskott-Aldrich syndrome (WAS) and X-linked neutropenia (XLN) are immunodeficiencies in which the function of several haematopoietic cell lineages is perturbed as a result of mutations in the actin regulator WASp. From in vitro cell biology experiments, and biochemical and structural approaches, we know much about the functional domains of WASp and how WASp might regulate the dynamic actin cytoskeleton downstream of activators such as Cdc42, but in vivo experiments are much more challenging. In patients, there is a correlation between clinical disease and genotype, with severe reductions in WASp expression or function associating with complex multilineage immunodeficiency, whereas specific mutations that cause constitutive activation of WASp result in congenital neutropenia. Here, we take advantage of the genetic tractability and translucency of zebrafish larvae to first characterise how a null mutant in zfWASp influences the behaviour of neutrophils and macrophages in response to tissue damage and to clearance of infections. We then use this mutant background to study how leukocyte lineage-specific transgenic replacement with human WASp variants (including normal wild type and point mutations that either fail to bind Cdc42 or cannot be phosphorylated, and a constitutively active mutant equivalent to that seen in XLN patients) alter the capacity for generation of neutrophils, their chemotactic response to wounds and the phagocytic clearance capacity of macrophages. This model provides a unique insight into WASp-related immunodeficiency at both a cellular and whole organism level.

Entities:  

Keywords:  Disease model; Immune deficiency; Live imaging; Macrophages; Neutrophils; WASp; Zebrafish

Mesh:

Year:  2013        PMID: 23868979      PMCID: PMC3772384          DOI: 10.1242/jcs.128728

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


Introduction

Cells of the innate immune system depend on a precisely regulated actin cytoskeleton to drive a coordinated response to tissue damage and infection and to clear pathogens at sites of infection. From cell surface receptor through to actin nucleator, each component step in cytoskeletal regulation plays a pivotal role in enabling normal immune cell function. Wiskott–Aldrich syndrome (WAS) protein WASp coordinates actin polymerisation via the Arp2/3 complex downstream of Cdc42 and kinase phosphorylation. Innate immune cells deficient in WASp, including neutrophils and macrophages, have been shown to display abnormal chemotaxis, motility and phagocytosis in vitro (Thrasher and Burns, 2010; Tsuboi and Meerloo, 2007). For example, tissue culture studies reveal that WASp-deficient macrophages fail to respond to chemotactic cues due to reduced persistence of directed protrusions (Ishihara et al., 2012; Zicha et al., 1998). They are also defective at phagocytosis of bacteria and apoptotic cells (Leverrier et al., 2001; Lorenzi et al., 2000). Several studies indicate a correlation between the clinical phenotype of WAS and the nature of the inherited mutation (Jin et al., 2004), with truncated or abolished WASp expression coinciding with the most severe cases (Ochs and Thrasher, 2006). In contrast, X-linked Neutropenia (XLN) in patients, results from constitutively active mutations in WASp, and presents with congenital neutropenia (Ancliff et al., 2006; Devriendt et al., 2001). In recent years zebrafish, Danio rerio, has come to the fore as a model for live imaging innate immune cell ontogeny, developmental homing and response to tissue damage, infection and cancer (Deng et al., 2012; Feng et al., 2010; Le Guyader et al., 2008; Levraud et al., 2009; Mathias et al., 2006; Niethammer et al., 2009; Prajsnar et al., 2008; Renshaw et al., 2006). We have shown that the WASp protein is conserved in zebrafish and using a morpholino knockdown approach we previously reported that WASp deficient neutrophils and macrophages exhibit defects in their capacity to migrate towards a fin wound, suggesting that WASp function is conserved in fish (Cvejic et al., 2008). In this study we characterise a null mutant of zebrafish WASp, which shows defects in both the wound-induced inflammatory response and in immune-cell-mediated resistance to bacterial infection, thus mimicking the symptoms of human WAS patients. We then use transgenic replacement with a range of human WASp mutants using the Gal4:UAS system in order to observe how various human mutations affect innate immune cell behaviour in vivo.

Results and Discussion

Because zebrafish larvae are translucent we are able to live image and characterise the behaviour of WASp deficient innate immune cells in an in vivo context. We first characterise leukocyte behaviour in a zebrafish WASp null mutant (Fig. 1A) derived by TILLing (Cvejic et al., 2008), which we then use as a background line to investigate a series of human WASp alleles.
Fig. 1.

The Zebrafish WASp mutant has a defect in leukocyte wound recruitment. (A) Schematic of WASp protein domains with the site of the STOP codon in washu3280 mutant indicated (red). (B) Schematic of 3 dpf zebrafish larva showing haematopoietic cell location (green) and wound (red arrow). (C) Time course of Sudan-Black-positive neutrophil recruitment in WT versus mutant larvae (i). Two-way ANOVA, Bonferroni post-test at each time-point 0.5 hour (NS), 1 hour (***), 1.5 hours (***), 2 hours (***), 2.5 hours (**), 3 hours (***), 4 hours (**), 5 hours (***), 6 hours (NS). Representative images of Sudan-Black-stained neutrophils recruited to the 90 minute wound site (ii) in WT (a) and mutant (b). (D) Time-course of macrophage recruitment in WT versus mutant mpx:GFP+ larvae (i). Two-way ANOVA, Bonferroni post-test at each time point 1 hour (NS), 2 hours (*), 3 hours (**), 5 hours (***), 7 hours (***), 9 hours (***), 24 hours (NS). Representative images of 3 hour wounds immunostained for L-Plastin to reveal all leukocytes (red) and mpx:GFP+ neutrophils (green) at the wound site (ii) in WT (a) and mutant (b). (E) Representative tracking analysis of mpx:GFP+ neutrophils during the first 90 minutes post wounding of a WT larva (i); each neutrophil track is in a different colour and the wound is indicated by dotted lines. Graphic representation of the velocity of migrating cells (µm/second) (ii), pause duration (seconds) with number of pauses >1 minute during wound migration (in brackets) (iii) and cell meandering index (iv), taken from tracks of WT (n = 20) and mutant (n = 20) mpx:GFP+ neutrophils. (F–H) Sample still images from confocal movies to illustrate protrusion/retraction analysis (i); neutrophils are green and new protrusive areas are indicated in magenta (F,G); and the retracting uropod in blue (H). WT cells exhibit greater persistence of polarity towards the wound (red asterisk). (F) (ii) Comparison of protrusive area (front versus back ratio analysis) in paused cells of WT vs mutant larvae. (G) (ii) As in F, but for migrating WT versus mutant cells, showing reduced protrusion in mutant cells. (H) (ii) Retraction analysis applied to migrating WT versus mutant cells, revealing mutant has defect in rate of uropod retraction. Error bars: s.e.m. (C,D); s.d. (E–H); *P<0.05; **P<0.01; ***P<0.001 by one-way ANOVA (C,D) and Student's t-test (E–H). NS, not significant. Scale bars: 10 µm (C,D); 20 µm (E); 5 µm (F–H).

The Zebrafish WASp mutant has a defect in leukocyte wound recruitment. (A) Schematic of WASp protein domains with the site of the STOP codon in washu3280 mutant indicated (red). (B) Schematic of 3 dpf zebrafish larva showing haematopoietic cell location (green) and wound (red arrow). (C) Time course of Sudan-Black-positive neutrophil recruitment in WT versus mutant larvae (i). Two-way ANOVA, Bonferroni post-test at each time-point 0.5 hour (NS), 1 hour (***), 1.5 hours (***), 2 hours (***), 2.5 hours (**), 3 hours (***), 4 hours (**), 5 hours (***), 6 hours (NS). Representative images of Sudan-Black-stained neutrophils recruited to the 90 minute wound site (ii) in WT (a) and mutant (b). (D) Time-course of macrophage recruitment in WT versus mutant mpx:GFP+ larvae (i). Two-way ANOVA, Bonferroni post-test at each time point 1 hour (NS), 2 hours (*), 3 hours (**), 5 hours (***), 7 hours (***), 9 hours (***), 24 hours (NS). Representative images of 3 hour wounds immunostained for L-Plastin to reveal all leukocytes (red) and mpx:GFP+ neutrophils (green) at the wound site (ii) in WT (a) and mutant (b). (E) Representative tracking analysis of mpx:GFP+ neutrophils during the first 90 minutes post wounding of a WT larva (i); each neutrophil track is in a different colour and the wound is indicated by dotted lines. Graphic representation of the velocity of migrating cells (µm/second) (ii), pause duration (seconds) with number of pauses >1 minute during wound migration (in brackets) (iii) and cell meandering index (iv), taken from tracks of WT (n = 20) and mutant (n = 20) mpx:GFP+ neutrophils. (F–H) Sample still images from confocal movies to illustrate protrusion/retraction analysis (i); neutrophils are green and new protrusive areas are indicated in magenta (F,G); and the retracting uropod in blue (H). WT cells exhibit greater persistence of polarity towards the wound (red asterisk). (F) (ii) Comparison of protrusive area (front versus back ratio analysis) in paused cells of WT vs mutant larvae. (G) (ii) As in F, but for migrating WT versus mutant cells, showing reduced protrusion in mutant cells. (H) (ii) Retraction analysis applied to migrating WT versus mutant cells, revealing mutant has defect in rate of uropod retraction. Error bars: s.e.m. (C,D); s.d. (E–H); *P<0.05; **P<0.01; ***P<0.001 by one-way ANOVA (C,D) and Student's t-test (E–H). NS, not significant. Scale bars: 10 µm (C,D); 20 µm (E); 5 µm (F–H).

The WASp mutant has normal numbers of leukocytes but they are defective in their ability to migrate to wounds

In humans, WASp is a haematopoietic cell restricted protein. We show that at the mRNA and protein levels, zebrafish WASp1 expression coincides with the leukocyte marker Lysozyme C (supplementary material Fig. S1A,B). We also confirm that WASp1 mutant larvae have normal numbers and distribution of neutrophils and macrophages (supplementary material Fig. S1C,D), just as observed in most human WAS patients. However, our wounding studies revealed reduced recruitment of both lineages at all time points from 30 minutes to 24 hours (Fig. 1C,D). Tracking analysis of mpx:GFP+ neutrophil migration in WASp1 mutants indicated increased frequency of ‘pausing’ and decreased cell velocity during migratory periods, but no significant increase in ‘meandering’ of tracks to the wound (Fig. 1E). We show that these alterations in migration are, at least in part, due to inefficiency in forming and maintaining new leading pseudopods in both paused and migrating cells, en route to wounds (Fig. 1F,G). WASp null cells also exhibited a reduced level of uropod retraction as they migrate towards the wound (Fig. 1H). We presume that all of these defects in cell migration to a wound are due to WASp-mediated influences on the cytoskeleton, but WASp proteins can also regulate endocytosis and there is precedent for endocytosis to dramatically influence the reading of chemotactic signals and so we cannot rule out this possibility (Jékely et al., 2005). There is a second WASp orthologue in zebrafish with less sequence homology to hWASp (Cvejic et al., 2008), but we saw no further migration defect after knockdown of this orthologue on a WASp mutant background (supplementary material Fig. S2).

Dissecting the function of specific human WASp mutants in WASp null zebrafish

Having confirmed that WASp1−/− fish appear to model features of human WASp deficiency, we wondered whether hWASp might rescue these defects and whether we might use zebrafish larvae as a ‘window’ through which to observe cell behaviours in a range of hWASp lesions (Fig. 2A; supplementary material Movie 1). Immediately obvious, and mirroring the neutropenic phenotype of XLN patients, we found that expression of a constitutively active form of hWASpI294T (Ancliff et al., 2006), using the neutrophil-specific Lysozyme C (lyz) promoter in otherwise WASp mutant fish, leads to a reduced overall number of neutrophils (Fig. 2B) in unwounded fish. We found that transgenic expression of full-length hWASp, again in otherwise WASp mutant fish, rescues both the numbers of neutrophils recruited to a wound (Fig. 2C) and their velocity and pause times en route to the wound (Fig. 2D). By contrast, transgenic expression of WASpY291F, a phospho-dead mutant form of hWASp (Blundell et al., 2009), provided minimal improvement in neutrophil migration above the WASp mutant background (Fig. 2C), and this was mirrored in our movie analysis where we saw marginally slower migration of individual neutrophils (Fig. 2D) and concommitantly reduced protrusion dynamics (Fig. 2E). By contrast, when we expressed WASpH246D in neutrophils, which cannot bind Cdc42 (Kato et al., 1999), we saw improvement in cell motility and recruitment to a level close to that in WT larvae (Fig. 2C) and normal protrusive outgrowth (Fig. 2E; supplementary material Movie 1) but with marginally reduced uropod retraction (Fig. 2E). Analysis of movies of the remaining neutrophils expressing the constitutively active form of hWASpI294T (supplementary material Movie 1) showed these cells to be hyperprotrusive when responding to a wound, and with significantly increased velocity and increased protrusion and uropod retraction rates (Fig. 2D,E); we have seen a similar compensatory effect on migration in Drosophila macrophages mutant in Cdc42, which exhibited defects in cell polarisation, but with increased migratory velocity compared with WT cells (Stramer et al., 2005). We suggest that the more muted inflammatory response to wounds in these constitutively active WASp transgenic ‘rescues’ is largely due to the reduced number of responding neutrophils, rather than a retarded migratory capacity and this may reflect how the inflammatory process is also perturbed in XLN patients.
Fig. 2.

The Zebrafish WASp mutant can be rescued to varying degrees by introduction of WT hWASp and clinical WASp mutants. (A) Schematic of hWASp indicating the various mutant constructs for attempted rescue of the zebrafish mutant phenotype. (B) (i) lyz:Gal4-VP16 UAS:Kaede to reveal neutrophils (green), shows evidence of neutropenia only in the flanks of -/hWASpI294T ‘rescued larvae’ with (ii) quantification of neutrophil deficiency by measurement of total neutrophil area in the hematopoietic region. (C) Degree of ‘rescue’ of neutrophil recruitment at 2 hours post wounding, after expression of hWASp constructs in the mutant background. (D) Tracking analysis of neutrophils following expression of each of the hWASp mutant constructs: (i) Quantification of the velocity of migrating cells (µm/sec), and (ii) pause duration (seconds), and pause number (in brackets). (E) Example still images from confocal time-lapse movies to illustrate protrusion analysis (magenta) applied to migrating hWASp mutant ‘rescues’ (see supplementary material Movie 1). Direction of the wound indicated by white arrow. (F) Quantification of rate of protrusion (i) and retraction (ii) in migrating hWASp mutant ‘rescues’. Error bars (s.d); asterisks denote significance values of *P<0.05, **P<0.01 and ***P<0.001 by one-way ANOVA. Scale bars: 100 µm (B); 10 µm (E).

The Zebrafish WASp mutant can be rescued to varying degrees by introduction of WT hWASp and clinical WASp mutants. (A) Schematic of hWASp indicating the various mutant constructs for attempted rescue of the zebrafish mutant phenotype. (B) (i) lyz:Gal4-VP16 UAS:Kaede to reveal neutrophils (green), shows evidence of neutropenia only in the flanks of -/hWASpI294T ‘rescued larvae’ with (ii) quantification of neutrophil deficiency by measurement of total neutrophil area in the hematopoietic region. (C) Degree of ‘rescue’ of neutrophil recruitment at 2 hours post wounding, after expression of hWASp constructs in the mutant background. (D) Tracking analysis of neutrophils following expression of each of the hWASp mutant constructs: (i) Quantification of the velocity of migrating cells (µm/sec), and (ii) pause duration (seconds), and pause number (in brackets). (E) Example still images from confocal time-lapse movies to illustrate protrusion analysis (magenta) applied to migrating hWASp mutant ‘rescues’ (see supplementary material Movie 1). Direction of the wound indicated by white arrow. (F) Quantification of rate of protrusion (i) and retraction (ii) in migrating hWASp mutant ‘rescues’. Error bars (s.d); asterisks denote significance values of *P<0.05, **P<0.01 and ***P<0.001 by one-way ANOVA. Scale bars: 100 µm (B); 10 µm (E).

The WASp mutant also models susceptibility to bacterial infection, just as in human patients

Patients with WAS and XLN are prone to bacterial infections. We observed that WASp−/− juveniles are more prone to opportunistic bacterial infection and subsequent death (Fig. 3A). To investigate the degree of resistance of WASp mutants to bacterial infection, we challenged larvae with a systemic S. aureus infection, injected into the circulation at 52 hpf, at a dose previously shown to cause staggered larval death over 72 hours post injection (hpi) (Prajsnar et al., 2008). This revealed increased susceptibility to bacterial infection in WASp mutants (Fig. 3B) and greater bacterial burden (Fig. 3C).
Fig. 3.

WASp mutant larvae show increased susceptibility to death from bacterial infection. (A) Ratio of genotypes of the offspring from WASp heterozygous in-crossed adults at 5 dpf and 3 months. Values in brackets indicate percentage drop in survival from predicted Mendelian ratio for WASp+/− and WASp−/− larvae. (B) Survival curves for WT (n = 44) versus mutant (n = 43) zebrafish larvae injected at 52 hpf with S. aureus; control injection is with PBS, WT (n = 15) mutant (n = 18). (C) Colony-forming unit (cfu) counts of individual larvae injected with 1200 cfu of S. aureus at (i) 4 hours post injection (hpi), WT (n = 8), mutant (n = 8); (ii) 10 hpi, WT (n = 16), mutant (n = 15); (iii) 24 hpi, WT (n = 10), mutant (n = 10). Error bars (s.d); asterisks denote significance values of *P<0.05, **P<0.01 using Student's t-test.

WASp mutant larvae show increased susceptibility to death from bacterial infection. (A) Ratio of genotypes of the offspring from WASp heterozygous in-crossed adults at 5 dpf and 3 months. Values in brackets indicate percentage drop in survival from predicted Mendelian ratio for WASp+/− and WASp−/− larvae. (B) Survival curves for WT (n = 44) versus mutant (n = 43) zebrafish larvae injected at 52 hpf with S. aureus; control injection is with PBS, WT (n = 15) mutant (n = 18). (C) Colony-forming unit (cfu) counts of individual larvae injected with 1200 cfu of S. aureus at (i) 4 hours post injection (hpi), WT (n = 8), mutant (n = 8); (ii) 10 hpi, WT (n = 16), mutant (n = 15); (iii) 24 hpi, WT (n = 10), mutant (n = 10). Error bars (s.d); asterisks denote significance values of *P<0.05, **P<0.01 using Student's t-test. In control WT fish, live imaging showed that most of the phagocytosis of circulating microbes, is accomplished by macrophages (Fig. 4A) (Colucci-Guyon et al., 2011) and commences almost immediately upon loading the circulation with S. aureus (supplementary material Movie 2). Using a ‘punctae analysis’ image quantification technique, we observed a clear delay in phagocytosis after 30 minutes in WASp mutant larvae, leading to a significant defect in clearance by 24 hpi (Fig. 4B–E) which explains their increased larval death rate. We saw no additional defect when we used morpholino knockdown WASp2 (data not shown). We found that transgenic expression of full-length hWASp in macrophages, using a csf1a promoter, in otherwise WASp mutant fish, rescues phagocytic uptake of microbes at both these timepoints to levels approaching WT (Fig. 4C,E). We next developed a more direct assay of phagocytosis without infection, utilising bioparticles that fluoresce only on acidification post phagocytic uptake (Fig. 4F; supplementary material Movie 3) (Brubaker et al., 2013). We used this assay to test the capacity of two of the hWASp mutant alleles investigated in our neutrophil motility ‘rescue’, but this time using the PU.1 promoter to drive them in macrophages. Our data here suggest a significantly increased ‘rescue’ of phagocytosis in cells expressing WASpY291F, the phospho-dead mutant form of hWASp, above the WASp null background (Fig. 4G), whereas Cdc42 signalling seems absolutely essential because when we expressed WASpH246D, which cannot bind Cdc42, in otherwise WASp null macrophages, we saw no improvement in particle uptake (Fig. 4G).
Fig. 4.

WASp mutant larvae show a delay in phagocytosis and defective clearance of (A) (i) Representative image of an infected larva. Arrowhead indicates injection site. (ii) GFP+ clumps of phagocytosed S. aureus visible in flank region (corresponding to white rectangle in i). (iii) Further magnification (corresponding to white square in ii) reveals a cluster of macrophages (blue) and neutrophils (magenta) with phagocytosed S. aureus (green) visible only within the macrophage population; (iv) application of punctae analysis using Volocity enables quantification of phagocytosed (as opposed to individual, not yet engulfed) S. aureus. (B) Representative images of bacterial punctae analysis in flanks of WT (+/+) versus mutant (−/−) larvae, revealing a delay in initial engulfment at 0.5 hpi, catch up by 2 hpi, but eventual failure to clear the phagocytosed bacteria at 24 hpi, in the mutant. (C–E) Scatter plots of (i) numbers of S. aureus punctae and (ii) total volume of S. aureus punctae (µm3) in flanks of WT versus mutant larvae at. Successful rescue of mutant defect at (C) 0.5 hpi and (E) 24 hpi following macrophage-specific re-expression of hWASpWT under csf1a:Gal4. (F) (i) Confocal image of PU1:GFP-positive macrophages (green) in the haematopoietic region of 2 dpf larva 30 minutes post injection of pHrodo S. aureus Bioparticles (red). (ii) Stills from a time-lapse movie, illustrating increasing fluorescence of a single pHrodo bioparticle following acidification in the macrophage phagosome (see supplementary material Movie 3). Arrows in single channel series indicate phagosome as it becomes acidified. (G) Scatter plots of numbers of pHrodo S. aureus bioparticle punctae (i), and total volume of punctae (µm3) (ii), in flanks of WT, mutant and hWASp mutant ‘rescued’ larvae at 0.5 hpi. Error bars indicate s.d.; *P<0.05, **P<0.01 and ***P<0.001 via Student's t-test (D) and one-way ANOVA (C,E,G). Scale bars: 200 µm (Ai); 100 µm (Aii,B); 10 µm (Aiii); 50 µm (Fi); 5 µm (Fii).

WASp mutant larvae show a delay in phagocytosis and defective clearance of (A) (i) Representative image of an infected larva. Arrowhead indicates injection site. (ii) GFP+ clumps of phagocytosed S. aureus visible in flank region (corresponding to white rectangle in i). (iii) Further magnification (corresponding to white square in ii) reveals a cluster of macrophages (blue) and neutrophils (magenta) with phagocytosed S. aureus (green) visible only within the macrophage population; (iv) application of punctae analysis using Volocity enables quantification of phagocytosed (as opposed to individual, not yet engulfed) S. aureus. (B) Representative images of bacterial punctae analysis in flanks of WT (+/+) versus mutant (−/−) larvae, revealing a delay in initial engulfment at 0.5 hpi, catch up by 2 hpi, but eventual failure to clear the phagocytosed bacteria at 24 hpi, in the mutant. (C–E) Scatter plots of (i) numbers of S. aureus punctae and (ii) total volume of S. aureus punctae (µm3) in flanks of WT versus mutant larvae at. Successful rescue of mutant defect at (C) 0.5 hpi and (E) 24 hpi following macrophage-specific re-expression of hWASpWT under csf1a:Gal4. (F) (i) Confocal image of PU1:GFP-positive macrophages (green) in the haematopoietic region of 2 dpf larva 30 minutes post injection of pHrodo S. aureus Bioparticles (red). (ii) Stills from a time-lapse movie, illustrating increasing fluorescence of a single pHrodo bioparticle following acidification in the macrophage phagosome (see supplementary material Movie 3). Arrows in single channel series indicate phagosome as it becomes acidified. (G) Scatter plots of numbers of pHrodo S. aureus bioparticle punctae (i), and total volume of punctae (µm3) (ii), in flanks of WT, mutant and hWASp mutant ‘rescued’ larvae at 0.5 hpi. Error bars indicate s.d.; *P<0.05, **P<0.01 and ***P<0.001 via Student's t-test (D) and one-way ANOVA (C,E,G). Scale bars: 200 µm (Ai); 100 µm (Aii,B); 10 µm (Aiii); 50 µm (Fi); 5 µm (Fii). This disassociation of Cdc42 activation and phosphorylation status of WASp has been reported previously and there is precedent from in vitro studies that WASp phosphorylation can occur independently of Cdc42 binding in cell migration and other WASp-dependent functions, whereas Cdc42 is essential for WASp-regulated phagocytosis (Badour et al., 2004; Cory et al., 2002; Park and Cox, 2009). Overall, our data establish a model for investigating WASp function in vivo and reveal the potential for live imaging the effects of various human WAS disease-related mutations using zebrafish larvae as host ‘windows’ for observing immune cell behaviours. To our knowledge, this is the first occasion where a range of human disease alleles have been transgenically expressed and comparatively live imaged using zebrafish larvae in this way.

Materials and Methods

Zebrafish lines and maintenance

Adult zebrafish were maintained in standard conditions; breeding and genotyping were carried out according to standard protocols (Westerfield, 2000). Embryos were maintained at 28°C in 0.3× Danieu's solution. For strains generated and used in this study, see supplementary material Table S1.

Leukocyte staining

Sudan Black staining was used to reveal neutrophils (Cvejic et al., 2008), and a pan-leukocytic antibody, L-Plastin was used to stain for all leukocytes as previously described (Redd et al., 2006).

Tail-fin wounding

Mechanical wounding was performed as previously described (Cvejic et al., 2008); in brief, 3 dpf larvae were anaesthetised and their ventral tail fin wounded using a tungsten needle (Fig. 1B).

Infection protocol

1 nl of 1.2×109 cfu ml−1 GFP-expressing S. aureus or 2 mg/ml pHrodo-S. aureus BioPaticles (Invitrogen), resuspended in PBS, were microinjected into the Duct of Cuvier of anaesthetised 52 dpf larvae. For live S. aureus injections, WT and mutant larvae were monitored over the course of 3 days until 5 dpf. Dead larvae were counted and removed at 24 hour post injection (hpi), 48 hpi and 72 hpi. To measure bacterial burden, individual 4 hpi, 10 hpi and 24 hpi larvae were processed for cfu analysis using an adaption of a previous protocol (Prajsnar et al., 2008), whereby each larva was first lysed in 400 ul 0.5% Triton X-100 and plated on a 90 mm LB agar plate.

In vivo live imaging

Live imaging was performed according to our previously published protocol. (Cvejic et al., 2008). A widefield Leica DMIRB inverted microscope was used to take movies for tracking studies and an Ultraview Spinning Disk Confocal imaging system with a 63× glycerol lens was used for protrusion/retraction analysis.

Image acquisition and quantification

Quantification of phagocytosed bacterial/BioParticle burden was performed on images of fixed, infected larval flanks, captured on a confocal microscope using 20× lens. Images were processed using Volocity (Improvision) software with GFP+/RFP+ bacterial clumps identified using s.d. intensity (125 µm. The manual tracking function of Volocity 5.0 (Improvision) was used to track neutrophil migration. Quantification of new protrusive areas and uropod retraction was performed using NIH ImageJ 1.42q software. On conversion of the movie to 8-bit greyscale, the movie was duplicated. In the duplicate copy the first frame was removed and a blank frame added at the end. Using the ‘Image calculator’ function the duplicate movie was subtracted from the original to reveal the new protrusive area; the reverse process was applied for retraction analysis. Following inversion of the image, the protrusive/retracted areas (µm2) could be calculated using the function ‘Analyse particles’. For paused cell movie analysis, the cell was divided in half, front and back, using the location of wound as a reference point, before calculation of areas were performed.

Construction of vectors for generating transgenic fish for each hWASp mutant

cDNAs for each eGFP-WASp mutant were cloned in frame between (NheI, ClaI) sites of the transgenic parental vector pBH-UASmsc, which contains the Tol2 sequence and a mlc promoter driven mCherry as transgene screen marker (kindly provided by Michael Nonet, Washington University). All the constructs were sequenced to verify their coding sequences.

Establishing zebafish transgenic strains containing UAS-WASp mutants

A Tol2 transposase mediated transgenic strategy (Kawakami et al., 2000) was used to generate UAS-WASp mutant strains following the established protocol (Balciunas et al., 2006). F0 embryos were grown to adulthood and then either in crossed or crossed to WASp−/−; their offspring were screened using fluorescent red heart as transgenic marker. F1 embryos with red hearts were grown up to establish Tg(BH-UAS-mcs-hWASp-eGFP); Tg(BH-UAS-mcs-hWASpA134T-eGFP); Tg(BH-UAS-mcs-hWASpH246D-eGFP); Tg(BH-UAS-mcs-hWASpY291F-eGFP); Tg(BH-UAS-mcs-hWASpI294T-eGFP), that were used in this study and crossed as appropriate. For each of our rescue experiments we have tested, as far as is possible, whether physiologically relevant levels of transgenic hWASp mRNAs/proteins are being expressed, by semi-quantitive RT-PCR (bands of similar intensity in WT and rescued larvae, supplementary material Fig. S1E), and immunostaining (data not shown), although absolute comparisons are not possible because we use different antibodies to image the zebrafish and human WASp proteins.

Production of WASp1 antibody

Zebrafish WASp1 cDNA fragment (1–699) was cloned into pGEX in frame. pGEX-zfWASp (1–699) was used to express a zfWASp–GST fusion protein in E. coli BL21 following the standard manufacturer's protocol. zfWASp was affinity purified using a Gluthathione Sepharose 4B column, and the final protein was sent to David's Biotechnologie (Germany) for production of rabbit polyclonal antibody. The specificity of the received zfWASp1 anti-serum was confirmed by ELISA.

WASp2 morpholino

Splice blocking (CAGAGACTGCAGACAAAAACACAAA) and translation blocking (CTTTCCCCTTCCGGCTCGCCTCAT) morpholinos were designed against WASp2 (Cvejic et al., 2008) and injected at concentration of 2 µg/µl and 2.5 µg/µl, respectively.

In situ probes

zfWASp1 cDNA was cloned into pTOPOCRII (Invitrogen). NotI enzyme was used to linearise the vector and SP6 was used to transcribe DIG labeled RNA probe for zfWASp1 using a Clontech DIG RNA labelling mix and following the manufacturer's guidelines.

RT-PCR and qPCR

Ten larvae from each genotype were lysed in 1 ml TRIzol (Invitrogen) and RNA were purified following the manufacturer's user guide. First strand cDNA were synthesised using SuperScript III Reverse Transcriptase system (Invitrogen), following the user manual and resulting cDNAs were used for subsequent PCR assays. qPCR was performed using an Opticon2 machine and SYBR green reagents, according to the manufacturer's instructions. Primer sequences used were as follows (5′–3′): zfWASp1 forward (CAGTTATACATGGCCCTTCCTC), reverse (CACTTTCGCTTCCATAATGTCA); L-Plastin forward (CCTGACGGATGAAAAGAAGC), reverse (ATCACCATCTTGGGCTTCAC); hWASp forward (TACTTCATCCGCCTTTACGG), reverse (GTCATCTCCAGCGAAGGTGT); Efα (CTGGTTCAAGGGATGGAAGA), reverse (GAGACTCGTGGTGCATCTCA). For all the reactions, annealing temperature was 60°C, with elongation for 30 seconds, for 40 cycles.
  36 in total

Review 1.  The Wiskott-Aldrich syndrome.

Authors:  Hans D Ochs; Adrian J Thrasher
Journal:  J Allergy Clin Immunol       Date:  2006-04       Impact factor: 10.793

2.  Imaging macrophage chemotaxis in vivo: studies of microtubule function in zebrafish wound inflammation.

Authors:  Michael J Redd; Gavin Kelly; Graham Dunn; Michael Way; Paul Martin
Journal:  Cell Motil Cytoskeleton       Date:  2006-07

3.  Resolution of inflammation by retrograde chemotaxis of neutrophils in transgenic zebrafish.

Authors:  Jonathan R Mathias; Benjamin J Perrin; Ting-Xi Liu; John Kanki; A Thomas Look; Anna Huttenlocher
Journal:  J Leukoc Biol       Date:  2006-09-08       Impact factor: 4.962

4.  Cell tracking using a photoconvertible fluorescent protein.

Authors:  Kohei Hatta; Hitomi Tsujii; Tomomi Omura
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

5.  Two novel activating mutations in the Wiskott-Aldrich syndrome protein result in congenital neutropenia.

Authors:  Phil J Ancliff; Michael P Blundell; Giles O Cory; Yolanda Calle; Austen Worth; Helena Kempski; Siobhan Burns; Gareth E Jones; Jo Sinclair; Christine Kinnon; Ian M Hann; Rosemary E Gale; David C Linch; Adrian J Thrasher
Journal:  Blood       Date:  2006-06-27       Impact factor: 22.113

6.  Mutations of the Wiskott-Aldrich Syndrome Protein (WASP): hotspots, effect on transcription, and translation and phenotype/genotype correlation.

Authors:  Yinzhu Jin; Cinzia Mazza; Jacinda R Christie; Silvia Giliani; Maurilia Fiorini; Patrizia Mella; Francesca Gandellini; Donn M Stewart; Qili Zhu; David L Nelson; Luigi D Notarangelo; Hans D Ochs
Journal:  Blood       Date:  2004-07-29       Impact factor: 22.113

7.  A transgenic zebrafish model of neutrophilic inflammation.

Authors:  Stephen A Renshaw; Catherine A Loynes; Daniel M I Trushell; Stone Elworthy; Philip W Ingham; Moira K B Whyte
Journal:  Blood       Date:  2006-08-22       Impact factor: 22.113

8.  Harnessing a high cargo-capacity transposon for genetic applications in vertebrates.

Authors:  Darius Balciunas; Kirk J Wangensteen; Andrew Wilber; Jason Bell; Aron Geurts; Sridhar Sivasubbu; Xin Wang; Perry B Hackett; David A Largaespada; R Scott McIvor; Stephen C Ekker
Journal:  PLoS Genet       Date:  2006-08-28       Impact factor: 5.917

9.  Live imaging of wound inflammation in Drosophila embryos reveals key roles for small GTPases during in vivo cell migration.

Authors:  Brian Stramer; Will Wood; Michael J Galko; Michael J Redd; Antonio Jacinto; Susan M Parkhurst; Paul Martin
Journal:  J Cell Biol       Date:  2005-02-07       Impact factor: 10.539

10.  The zebrafish lysozyme C promoter drives myeloid-specific expression in transgenic fish.

Authors:  Chris Hall; Maria Vega Flores; Thilo Storm; Kathy Crosier; Phil Crosier
Journal:  BMC Dev Biol       Date:  2007-05-04       Impact factor: 1.978

View more
  12 in total

Review 1.  Neutrophils in host defense: new insights from zebrafish.

Authors:  Elizabeth A Harvie; Anna Huttenlocher
Journal:  J Leukoc Biol       Date:  2015-02-25       Impact factor: 4.962

2.  An improved zebrafish transcriptome annotation for sensitive and comprehensive detection of cell type-specific genes.

Authors:  Nathan D Lawson; Rui Li; Masahiro Shin; Ann Grosse; Onur Yukselen; Oliver A Stone; Alper Kucukural; Lihua Zhu
Journal:  Elife       Date:  2020-08-24       Impact factor: 8.140

3.  The wound inflammatory response exacerbates growth of pre-neoplastic cells and progression to cancer.

Authors:  Nicole Antonio; Marie Louise Bønnelykke-Behrndtz; Laura Chloe Ward; John Collin; Ib Jarle Christensen; Torben Steiniche; Henrik Schmidt; Yi Feng; Paul Martin
Journal:  EMBO J       Date:  2015-07-01       Impact factor: 11.598

4.  Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis.

Authors:  Emmanouil I Athanasiadis; Jan G Botthof; Helena Andres; Lauren Ferreira; Pietro Lio; Ana Cvejic
Journal:  Nat Commun       Date:  2017-12-11       Impact factor: 14.919

5.  WASP and SCAR are evolutionarily conserved in actin-filled pseudopod-based motility.

Authors:  Lillian K Fritz-Laylin; Samuel J Lord; R Dyche Mullins
Journal:  J Cell Biol       Date:  2017-05-04       Impact factor: 10.539

Review 6.  Rare Genetic Blood Disease Modeling in Zebrafish.

Authors:  Alberto Rissone; Shawn M Burgess
Journal:  Front Genet       Date:  2018-08-31       Impact factor: 4.599

Review 7.  Modeling hematopoietic disorders in zebrafish.

Authors:  Martina Konantz; Christoph Schürch; Pauline Hanns; Joëlle S Müller; Loïc Sauteur; Claudia Lengerke
Journal:  Dis Model Mech       Date:  2019-09-06       Impact factor: 5.758

Review 8.  Rho GTPases Signaling in Zebrafish Development and Disease.

Authors:  Marie-José Boueid; Aya Mikdache; Emilie Lesport; Cindy Degerny; Marcel Tawk
Journal:  Cells       Date:  2020-12-08       Impact factor: 6.600

Review 9.  Zebrafish Cancer Predisposition Models.

Authors:  Kim Kobar; Keon Collett; Sergey V Prykhozhij; Jason N Berman
Journal:  Front Cell Dev Biol       Date:  2021-04-27

Review 10.  The cell biology of inflammation: From common traits to remarkable immunological adaptations.

Authors:  Helen Weavers; Paul Martin
Journal:  J Cell Biol       Date:  2020-07-06       Impact factor: 10.539

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.