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. Author manuscript; available in PMC: 2013 Dec 16.
Published in final edited form as: Toxicology. 2012 Sep 21;302(2-3):129–139. doi: 10.1016/j.tox.2012.09.004

Early life stage trimethyltin exposure induces ADP-ribosylation factor expression and perturbs the vascular system in zebrafish

Jiangfei Chen *,1, Changjiang Huang *,1, Lisa Truong +,1, Jane La Du +, Susan C Tilton #, Katrina M Waters #, Kuanfei Lin , Robert L Tanguay *,+,2, Qiaoxiang Dong *,2
PMCID: PMC3511642  NIHMSID: NIHMS409343  PMID: 23000284

Abstract

Trimethyltin chloride (TMT) is an organotin contaminant, widely detected in aqueous environments, posing potential human and environmental risks. In this study, we utilized the zebrafish model to investigate the impact of transient TMT exposure on developmental progression, angiogenesis, and cardiovascular development. Embryos were waterborne exposed to a wide TMT concentration range from 8 to 96 hours post fertilization (hpf). The TMT concentration that led to mortality in 50% of the embryos (LC50) at 96 hpf was 8.2 μM; malformations in 50% of the embryos (EC50) was 2.8 μM. The predominant response observed in surviving embryos was pericardial edema. Additionally, using the Tg (fli1a: EGFP) y1 transgenic zebrafish line to non-invasively monitor vascular development, TMT exposure led to distinct disarrangements in the vascular system. The most susceptible developmental stage to TMT exposure was between 48–72 hpf. High density whole genome microarrays were used to identify the early transcriptional changes following TMT exposure from 48 to 60 hpf or 72 hpf. In total, 459 transcripts were differentially expressed at least 2-fold (P < 0.05) by TMT compared to control. Using Ingenuity Pathway Analysis (IPA) tools, it was revealed that the transcripts misregulated by TMT exposure were clustered in numerous categories including metabolic and cardiovascular disease, cellular function, cell death, molecular transport, and physiological development. In situ localization of highly elevated transcripts revealed intense staining of ADP-ribosylation factors arf3 and arf5 in the head, trunk, and tail regions. When arf5 expression was blocked by morpholinos, the zebrafish did not display the prototypical TMT-induced vascular deficits, indicating that the induction of arf5 was necessary for TMT-induced vascular toxicity.

Keywords: zebrafish, trimethyltin chloride, vascular, ADP-ribosylation factors (arf), gene expression

1. Introduction

As thermal- and photo-resistant stabilizers, organotin compounds have been widely used in polyvinyl chloride, pesticides, fungicides, and antifouling paints (Blunden et al. 1984 ). TMT is one of the most widely used organotins and a ubiquitous environmental contaminant (Hoch 2001). TMT is well recognized as a toxic chemical to humans, and incidences of TMT poisoning have been reported across the world. Though many e TMT poisoning cases are associated with occupational exposure, incidences occur through the ingestion of organotin polluted food or water (Hoch 2001; Tang et al. 2010; Tang et al. 2002). Furthermore, the presence of TMT in aquatic environments is well documented (Liu et al. 2003; Shawky and Emons 1998) and its potential risk to aquatic organisms was recently examined (Li et al. 2011). Upon adult TMT exposure, neurotoxicity is the major symptom of poisoning in both humans and experimental animals. Because of this, TMT has been widely used as a model toxicant for studying central nervous system toxicity (El-Fawal and O’Callaghan 2008; Zuo et al. 2009). More recently, TMT was also recognized as a cytotoxicant (Holden and Coleman 2007; Liu et al. 2004; Yoneyama et al. 2009), an immunotoxicant (Gomez et al. 2007; Holloway et al. 2008), and an apoptotic inducer in some systems (Cai et al. 2009; Mundy and Freudenrich 2006). These toxicities have led to the potential application of organotin compounds, as a class, in metal-based chemotherapy for treating human cancers (Alama et al. 2009). Therefore, a comprehensive understanding of the toxic effects of organotin compounds and their mode of action will not only help reveal the environmental health effects caused by these chemicals, but also provide the biological basis for their applications in anti-tumor activities. In particular, potential cardiovascular toxicity is a significant concern for the use of organotin compounds in human chemotherapy (Nath 2008 598-612.).

Earlier studies with mammalian model systems indicated that organotin compounds interfered with heme metabolism, decreased blood pressure resulting from a depression of the vascular smooth muscle, altered blood composition, and decreased organ-to-heart mass ratios in rats and mice (Nath 2008 598-612.). These results suggested that the cardiovascular system is a target organ of organotins. However, no studies have looked into the possible effect of TMT exposure on vascular development. In zebrafish, it is hypothesized that, during the early embryonic stage, the same molecular mechanisms specify differentiation and patterning of the nervous and vascular systems (Melani and Weinstein 2010). We hypothesized that TMT may elicit adverse effects on the developing vascular system. Our preliminary data in zebrafish showed that developmental exposure to TMT resulted in a high incidence of vascular deficits and decreased heart rate.

In this study, we used zebrafish as a model system to define the developmental toxicity of TMT, and to begin to dissect the toxicity mechanism. We report that TMT exposure induced pericardial edema and aberrant vascular development. Using the vascular effects as phenotypic anchors, global mRNA expression microarray studies were completed to identify the early gene expression changes that preceded these phenotypes. In situ localization of highly elevated transcripts in qRT-PCR and microarrays revealed intense staining of ADP-ribosylation factors arf3 and arf5 in the head, trunk, and tail regions. When arf5 expression was blocked by morpholinos, the zebrafish did not display the prototypical TMT-induced vascular deficits, indicating that the induction of arf5 was necessary for TMT-induced vascular toxicity.

2. Materials and methods

2.1. Fish husbandry and exposure protocols

The Tg (fli1a: EGFP) y1 line used for vascular patterning assessments was obtained from Dr. Brant Weinstein at the National Institute for Child Health and Human Development. The Tropical 5D and AB wild type lines were used to conduct all other experiments. All fish were raised and kept at the Sinnhuber Aquatic Research Laboratory at Oregon State University under standard laboratory conditions of temperature 28 (± 0.5°C), pH 7.2 (± 0.2) on a 14:10 dark/light photoperiod according to standard zebrafish breeding protocols (Westerfield 1995). Trimethyltin chloride (PN#146498; purity >97%) was purchased from Sigma-Aldrich. A TMT stock solution of 1mM in water was stored at 4°C until further diluted with embryo medium (van Eeden et al. 1999; Westerfield 1995).

Embryos were individually waterborne-exposed to TMT at various concentrations in plastic 96-well plates (200 μL/well). Developmental progression was monitored daily and mortality was determined by heartbeat cessation. Malformations such as yolk sac edema, pericardial edema, body axial/tail curves, swim bladder inflation, and pigmentation were tabulated. TMT concentrations from 0.01 to 100 μM were first used to estimate LC50 and to determine the most sensitive toxicological response. Once the dose-dependent response range was defined, a narrower final concentration range between 1 and 15 μM was used for three separate trials with 12 embryos in each concentration to calculate the LC50 and EC50 values.

2.2. Vascular patterning in transgenic larvae after TMT exposure

Tg (fli1a: EGFP) y1 embryos were exposed to 0, 2, 5, 8, 10 and 13 μM TMT from 8 to 96 hpf in 6 well plates with 20 embryos in 5 ml of solution. At 96 hpf, live larvae were euthanized with 0.02% MS-222 for 5 min and fixed with 4% paraformaldehyde in 0.1 M phosphate buffer (PBS) over night. After fixation, they were washed three times with PBS and stored in PBS at 4°C prior to imaging with a fluorescence microscope (Nikon ECLIPSE TE2000-U). 5–7 intersegmental vessels in each field of view were imaged utilizing a 20× objective, and 3–4 segments at yolk sac and tail regions were imaged utilizing a 40× objective. We used a scoring metric where abnormal vasculature was scored if more than four abnormal vessels (including missing vessels, inappropriate crossing or hyper-proliferation) were present in the zebrafish, regardless of the position or distribution of the abnormal structures. Vasculature abnormality was thus expressed as the percent larvae with abnormal vessels. Total vascular number and distance between vessels (including the yolk and the tail region) were calculated using Image-Pro Plus7.0 (IPP, Media Cybernetics).

2.3. Sensitive exposure period screening

To determine which phase of the embryogenesis was most TMT sensitive, embryos/larvae were waterborne-exposed to TMT (5, 10, 15 and 20 μM) in 6-well plates during the following developmental windows: 8–24 hpf, 24–48 hpf, 48–72 hpf, or 72–96 hpf. At the end of each exposure period, the zebrafish were rinsed three times with embryo media (EM) and transferred to 96-well plates for continuous development until 96 hpf where the incidence of pericardial edema was scored.

2.4. Microarray Analysis

The most susceptible developmental stage to TMT exposure was between 48–72 hpf; therefore, 48 hpf embryos were exposed to 10 μM TMT or vehicle EM, and at 60 and 72 hpf, total RNA was collected from pooled embryos. There were three replicates and each replicate pool consisted of 40 individual zebrafish. Total RNA was isolated with TRIzol Reagent (cat#15596-026, Life Technologies) according to the manufacturer’s instructions. The quantity and quality of RNA was determined using the Nanodrop-1000 Spectrophotometer and the Agilent Bioanalyzer. All RNA samples passed concentration, and quality requirements (A260/A280 ≥ 1.8, and A260/A230 ≥ 1.8). For microarray processing, 10 μg of total RNA was reverse transcribed using SuperScript III and oligo (dT) primer (Invitrogen, Carlsbad, CA), and double stranded cDNA was synthesized and purified using Qiagen Minelute PCR Purification spin columns. Double strand cDNAs were labeled with Cy5 dNTP, and hybridized to 12 × 135K zebrafish gene expression arrays (Roche Nimblegen, Madison, WI) and scanned using the Axon GenePix 4200A Pro scanner (Molecular Devices, Sunnyvale, CA) with a green laser (532 nm) and a hardware setting of 450 pmt, laser power of 100, and a pixel size of 5. Histogram analysis was performed to assure that the normalized counts were between 1e-4 and 1e-5 at the signal intensity of saturation (65,000).

2.5. Gene expression data processing and pathway analysis

Raw data were extracted, background subtracted and quantile normalized (Bolstad et al. 2003) using NimbleScan v2.5 software. Gene calls were generated using the Robust Multichip Average algorithm (Irizarry et al. 2003). Statistical analysis was performed by one-way ANOVA for unequal variance with Tukey’s posthoc test (P < 0.05) in GeneSpring GX v11.0 (Agilent Technologies, Santa Clara, CA) to generate significant gene lists and a Venn diagram identifying unique and common expressions at 60, and 72 hpf. Importing the statistically significant gene list into Multi-Experiment Viewer produced a bi-hierarchical clustering heat map. Individual clusters were analyzed further with the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatic package (http://david.abcc.ncifcrf.gov/home.jsp) to determine common and unique functional pathways (Dennis et al. 2003; Huang et al. 2009). A zebrafish Nimblegen background, and individual cluster gene lists were uploaded into DAVID using entrez gene identifiers. Functional annotation of clustering using only biological process levels 3, 4, and 5 was applied to each gene list. Only biological processes that received an enrichment score greater than one were noted on the bi-hierarchical clustering heat map. Zebrafish mRNA sequences on the microarray were blasted at the NCBI website to find the human orthologs with the highest blast score, then subjected to IPA analysis (IPA, Ingenuity® Systems, www.ingenuity.com). The identified genes were mapped to corresponding gene objects in the Ingenuity Pathways Knowledge Base to generate networks, bio-functions and canonical pathways. Additionally, a comparison analysis among the three gene lists (60 hpf, 72 hpf and the common genes) was used to show the relationship of different development period gene changes involved in the certain pathway.

2.6. qRT-PCR analysis

Total RNA was isolated in triplicate from control embryos or embryos exposed to 10 μM TMT from 48 to 72 hpf (n = 40 per group). cDNA was prepared from 5 μg of total RNA per group using SuperScript III and oligo (dT) primers in a 20 μl volume. Quantitative PCR using gene specific primers (Table 1) was conducted on an Applied Biosystems Step One Real-Time PCR System. Briefly, 25 ng of cDNA was used for each qRT-PCR reaction using the Power SYBR Green PCR Master Mix (PN# 4367659, Applied Biosystems) according to the manufacturer’s instructions. β-actin was selected as the internal reference due to its steady expression in both control and TMT treated larvae. The Comparative CT (ΔΔCT) was used to measure gene expression compared to the control. Gradient annealing temperature studies were initially completed to determine the optimal annealing temperature for each primer set. Gel electrophoresis and thermal denaturation (melt curve analysis) were used to confirm product specificity. To compare the results from microarray and qRT-PCR, the fold changes of the array expression profiles relative to vehicle control group were compared to the qRT-PCR data. All oligonucleotide primers were synthesized by Eurofins MWG Operon (http://www.operon.com).

Table 1.

Primers used for qRT-PCR. The genes named were identified in NCBI.

Target gene Forward sequence 5′ to 3′ Reverse sequence 5′ to 3′
arf3 ACACCAAACACGGCGAACA CTGCTGCATCCAGACCAACC
arf5 AAAACATCTCGTTCACTGTGTGGG TCTTCAGCTCCTCTGCTGCC
atf3 TGCGTCAGCTTTGGTTCCCTGT AGGCTCTGTCAGTGGTCAGGGT
zgc:1105152 GATGTCTCATTGGCTGCTT TCTGTCACTCACCCGCTCC
rfp582 GCACCACAAACACGTCTACTGGC TCGGGCACATGAGGGCTGTT
stmn4l CTAAAGCACTTGGCTGAAA TTCTCCTGAAGACGCTCC
Novel TGTGGATCGACCCCATGGAGGT TGAGACCGCTGAGCCACAGTCA
fosl1 AGCCCTCAACCTCGTCACGTCT TCCCCTCACAGCAGCCAATCGA
NID12* TGCAGCCCACAGGTACCGTCA AAGCGCTGACTGCGAGCCTTG
NID 14* TGTGTGAGAGAAACAGTCGTGGT AGTTGTGTTGCATGTGAGCCGA
NID 13* ACAGCTCATCTTTCCCTGGTTCT AGTGCGTTAGTCCAGTGTTATCA
bbc3 CGTCGGCTTCTGTAGTGTCGGT CGCATCAGCGAACAGTTTGGTTG
NID 19* TGAGTGAACTGCAGTCAGCCACA TGGGGTGTTGTCGAGAACGCTT
atf5 AGACATGCCCCCTACAGCTGCA ACCAGGCGCAACAGCTGAGT
Lepr TGCCAACTGCTAAATGCTA CTGCTGCTCTACGGGTCTT
mmp9 GGCGGTCGTCTCCAATAC GGTCTCCGTCGAATGTCTT
zgc:162630 GGGCTCTTGTAAGTTTGGC GAGTGGGAGCGTGTCGTAT
fam63a GCCGACCATGCCGGCGTATTAT TCACCGAGGTGAGCCATCAGCT
gcrk7a CTGCGTGTGGGCCTGTCTGT AGTGCGTAGTCAGAAAATCCCTGC
Ndellb CGAACTGGACGAGAAGGA CACAGGTGTAGCTGGGAGA
opsin1 GGAAAGGTGGCTGGTCAT GCCTAAGAGTGGAGGGAGT
gnat2 AAAAGGCTATGGAAGGAT GTGGGAAGGTAGTCAGGT
arg2 AACGGCGGACTGACCTAC CCAGAGCGGATGCAACTA
Galca CAAGGTAGAAATAGGAGGCG AGGGAAGACCGATCAGCT
nnara6 TTTTGGAAAGGGAGACGG GAATAAACGACGAAAGAGC
fen1 AACCAACGGCACCAGCAA GTCCCAGAAATACAATCAGCAT
casp9 GTGACCAAGCCAGGCAACT AATGACAGGAGGGCGATG
β-actin AAGCAGGAGTACGATGAGTC TGGAGTCCTCAGATGCATTG
*

NID represents transcripts not identified, but differentially expressed by TMT exposure

2.7. Whole mount in situ hybridization

To localize arf3, arf5, and atf3 transcripts, in situ hybridization (Thisse and Thisse 2008) was performed using 72 hpf embryos from control and 10 μM TMT exposed groups (exposed from 48 to 72 hpf). The arf3, arf5, atf3, and a reference control sonic hedgehog (shha) probes were prepared by RT-PCR with cDNA template derived from the RNA isolated from the 72 hpf vehicle larvae. The T3 RNA polymerase site primer 5′CATTAACCCTCACTAAAGGGAA 3′ was added to the 5′ end of the antisense primer to produce templates for the in vitro transcription of antisense probes (Table 2). The embryos were exposed to phenylthiourea (Sigma) at a final concentration of 0.0045% at 24 hpf to inhibit the formation of pigmentation.

Table 2.

Oligonucleotides used to generate in situ hybridization probes.

Target gene Sequence 5′ to 3′
Shha Forward: GGGCCAGCGGCAGATACGA
Reverse: GCCAAATGCGCAAGCCCCTG
arf3 Forward: ACACCAAACACGGCGAACA
Reverse: GTGAGCCAGTCGAGTCCTTCGTA
arf5 Forward: CTATGCCTCGCACTCCAAAATGGG
Reverse: CCCAGTCTGTCTGTCAGCTCATGGA
atf3 Forward: TGCGTCAGCTTTGGTTCCCTGT
Reverse: GCTGGTTGGTATGGCGGTGTGT

2.8. Morpholino microinjection

The sequence of the arf5 morpholino was 5′-GACCAACTGTGAACATACACGTTTA -3′, and the sequence for the standard control morpholino was 5′-CTCTTACCTCAGTTACAATT-3′ (Gene Tools, Philomath, OR). Morpholinos were diluted to 1mM in UltraPure distilled water. Approximately 2 nl of 0.5 mM arf5 morpholino solution was microinjected in the embryos at the 1–2 cell stage. The Tg (fli1a: EGFP) y1 embryos of control and arf5 morphants were allowed to develop until 96 hpf to evaluate the trunk vasculature formation phenotype as described in section 2.2. Primers spanning arf5 exon 1 (forward primer: 5′-TCGCACTCCGAGCATTTCTTTCTGC-3′) and exon 4 (reverse primer: 5′-TCTGTCTGTCAGCTCATGGACCGG -3′) were used for RT-PCR analysis to confirm the effectiveness of gene knock down. The predicted size of the amplified cDNA fragment containing the arf5 intron 1 was 642 bp, whereas a product generated from cDNA without intron 1 would be 478 bp.

2.9. Statistical analysis

Nonlinear regression was used to generate the dose response curves for LC50 and EC50 calculations (GraphPad Prism5). A one-way ANOVA was performed to determine statistical significance followed by a Dunnett’s post hoc test to independently compare each exposure group to the control group (SPSS, Chicago, IL, USA). All the data were reported as means ± standard error (SEM) unless otherwise stated.

3. Results

3.1. TMT-mediated malformations

Wild type 5D tropical embryos were exposed to 10 fold TMT serial dilutions (0.01–100 μM) from 8 to 96 hpf. No mortality was observed at concentrations lower than 1 μM, and all larvae died at 100 μM TMT. At 10 μM, TMT produced mortality in 80 ± 4.5% of embryos. The surviving embryos displayed malformations including pericardial edema and yolk sac edema. Based on this preliminary trial, embryos were exposed to a narrower concentration range of TMT (1–15 μM) from 8 hpf and monitored daily until 96 hpf. The calculated LC50 at 96 hpf was 8.25 μM and the EC50 at 96 hpf was 2.78 μM (Fig. 1). Similar concentration responses were obtained with the wild type AB line and Tg (fli1a: EGFP) y1 embryos (data not shown). TMT exposure induced a variety of deformities including pericardial edema, yolk sac edema, uninflated swim bladder, and curved body axis. The most prominent TMT-dependent endpoint was pericardial edema (Fig. 2); 100% of embryos exposed to 4 μM of TMT displayed this response.

Figure 1.

Figure 1

Concentration-responses of TMT exposure in 5D line zebrafish embryos. Percent mortality (A) and malformation (B) of embryos after waterborne exposure to various concentrations of TMT from 8 to 96 hpf. This experiment was replicated three times with 12 embryos per treatment in each replicate.

Figure 2.

Figure 2

Typical morphology of zebrafish larvae at 96 hpf with and without TMT exposure: (A) control larva without TMT exposure showing normal appearance and inflated swim bladder (SB); embryos exposed to TMT at 2 μM (B), 5 μM (C), and 8 μM (D) from 8 to 96 hpf exhibited different degrees of pericardial edema (PE), yolk sac edema (YSE), and uninflated swim bladder (USB). Scale bars = 1.0 mm.

3.2. Vascular patterning

TMT exposure altered vascular patterning in the yolk sac and tail extension regions (Fig. 3). Vessel disarray such as crossing (arrow point) and proliferation (arrowhead) were only present in TMT exposed larvae. Quantitative analysis revealed significant increases in the percent of larvae with abnormal vessels with increasing TMT concentrations (Table 3). Though the number of vessel segments from the yolk sac extension to the caudal fin did not change, TMT exposure reduced the distance between intersegmental vessels (ISVs) in both yolk sac and tail extension regions with more pronounced reductions present in the tail region (Table 3). The TMT-induced reduction in the distance between ISVs was generally proportional to the reduction in total body length (Table 1), suggesting there was a secondary effect from delayed development or changes in body curvature in the treatment group. There was a lower incidence of vessel abnormalities in zebrafish exposed to TMT from 48 to 72 hpf than those exposed from 8 to 96 hpf (data not shown). We also found vascular defects in the brain region (Fig. S1), however, it was difficult to quantify the defects in this region due to complicated vessel networks and resultant high GFP intensity.

Figure 3.

Figure 3

TMT induced blood vessel malformation in larval Tg (fli1a: EGFP) y1 zebrafish at 96 hpf. A control larva showing normal blood vessel patterning in yolk sac region (A) and tail region (B). TMT treated larvae display moderate vessel defects at 5 μM (C, D), and severe malformation at 10 μM (E, F). Arrows point to intersegmental vessel (ISV) crossing; the arrowheads point to abnormal vessel sprouts from the ISVs. Distance shown indicates the length between ISVs.

Table 3.

Quantitative analysis of vascular structure in Tg (fli1a: EGFP) y1 zebrafish larvae at 96 hpf (n = 15). Values in parentheses are mean percentage reduction in length when compared to control larvae.

TMT (μM) % Larvae with abnormal vessel Vessel number Distance between two vessels (μm)
Body length (mm)
Yolk sac region Tail region
0 0±0 28.6±0.7 64±4 51±3 3.15±0.07
2 16±8 28.9±0.6 61±3 (5%) 49±3 (4%) 2.95±0.15 (6%)
5 41±10* 28.6±0.6 59±3* (8%) 44±4** (14%) 2.82±0.07 (10%)
8 76±14* 28.8±1.1 58±4** (9%) 41±3** (20%) 2.73±0.11* (13%)
10 70±11** 28.7±1.0 55±3** (14%) 39±3** (24%) 2.60±0.07* (17%)

Asterisks indicate a significant difference at P < 0.05(*) or P < 0.001(**). Larva with more than four trunk segments showing malformed vessels is considered as abnormal.

3.3. Developmental window of TMT sensitivity

5D strain embryos exposed to TMT from 48 to 72 hpf recapitulated the pericardial edema observed when continuously exposed from 8 to 96 hpf (Table 4). The higher 15 μM TMT exposure induced malformations in all four developmental windows and high mortalities between 24–72 hpf. But 10 μM TMT induced 100% pericardial edema and no mortality when administered between 48 to 72 hpf. Identical trials using either the wild type AB or the Tg (fli1a: EGFP) y1 lines revealed the sensitivity window was the same for each line. All malformations were registered at 96 hpf. At 72 hpf, larvae in all TMT-exposed groups appeared morphologically normal.

Table 4.

Percent normal morphology, pericardial edema, and mortality of 5D line zebrafish larvae at 96 hpf after TMT exposure at various developmental window (n = 16 embryos/larvae per group).

TMT (μM) Exposure window (hpf) % Normal larvae % Pericardial edema % Mortality
0 8 to 96 100 0 0
5 8 to 24 94 6 0
24 to 48 94 0 0
48 to 72 63 37 0
72 to 96 88 12 0
10 8 to 24 81 19 0
24 to 48 19 81 0
48 to 72 0 100 0
72 to 96 88 13 0
15 8 to 24 92 8 0
24 to 48 0 100 50
48 to 72 0 100 87
72 to 96 88 12 0

3.4. TMT induced gene expression alternation

To identify the TMT-mediated transcriptional responses that preceded the display of a visual phenotype, whole animal global microarray analysis was completed using RNA isolated from zebrafish exposed to 10 μM TMT for 12 h (from 48 to 60 hpf) or 24 h (48–72) 72 hpf. To reiterate, TMT exposure from 48 to 60 or 48 to 72 hpf did not register reliably detectable abnormalities until approximately 96 hpf. Analysis of the differentially expressed transcripts resulted in a total of 1657 transcripts that were significantly misregulated (P < 0.05) by TMT exposure at 60 and 72 hpf compared to the control group (Fig. 4A). There were fewer differentially expressed transcripts at 60 hpf compared to 72 hpf. Further pathway analysis using DAVID was applied to elucidate the statistical enrichment for functional perturbations upon TMT exposure. The elevated expression categories included disease mutation, lysosome, response to stimulus, regulation of locomotion and protein transport. The lower expressed categories included neurogenesis, learning and memory, central nervous system, cell proliferation, chemotaxis, and locomotor behavior (Fig. 4B).

Figure 4.

Figure 4

Hierarchical clustering with time-matched control and DAVID pathway. (A) The hierarchical clustering (P < 0.05, 1627 genes) with the four treatment groups each with three replicates; (B) Further analysis of data from A (controls were removed) by database for annotation, visualization and integrated discovery (DAVID). From the DAVID pathway analysis, TMT induced the statistical enrichment for functional terms including upregulation for chemotaxis, locomotor behavior, cell proliferation, central nervous system, neurogenesis learning or memory, and downregulation for protein transport, disease mutation, lysosome, response to stimulus, regulation of locomotion. Values are Log2 fold-changes; P ≤ 0.05 by one way ANOVA.

A Venn diagram was created to compare these transcript sets (Fig. 5). A total of 84 and 1,515 transcripts were changed relative to the vehicle control group at 60 and 72 hpf, respectively, while the misregulation of 58 transcripts was common to both time points. A >2 fold filter was applied, which resulted in a total of 475 transcripts (Fig. 5B), including 8 and 459 transcripts misregulated at 60 and 72 hpf, respectively, while the misregulation of 8 transcripts was common to both time points. For example, arf1 and arg2 were elevated, and bcl6 was reduced at 60 hpf. The genes at 72 hpf are involved in cellular, skeletal and muscular system development and function, tissue development, molecular transport, RNA trafficking, cardiovascular and neurological disease.

Figure 5.

Figure 5

Venn diagram depicting the transcripts that were significantly differentially regulated after TMT exposure. Total RNA from vehicle control or TMT exposed larvae were isolated at 60 and 72 hpf. One-way ANOVA analysis assuming unequal variance and employing Tukey’s post-hoc (n = 3, P < 0.05) showing genes changed versus time-matched control (A) and those with at least 2-fold changes (B).

3.5. qRT-PCR validation of gene expression profiles

Transcripts were selected for qRT-PCR expression validation. Comparison of mRNA abundance determined by microarray and qRT-PCR revealed similar trends for all transcripts validated (Table 5). Among these, thirteen transcripts were identified by DAVID pathway analysis: two elevated transcripts were involved in angiogenesis (lepr, zgc: 162630), and the rest were involved in neurological processes (nedl1b, arg2, casp9, galca, mmp9, fam63a, grck7a, opnsin1, gnat2, nnara6 and fen1). It was noteworthy that the ADP-ribosylation factor related family members, arf3 and arf5, were elevated 30 and 15 fold, respectively using microarray analysis; however when validated by qRT-PCR, the fold changes were consistently, 1,900- and 1,500-fold elevated compared to the vehicle control group, respectively. The qRT-PCR results generally displayed a higher magnitude of change (Table 5).

Table 5.

Comparisons of TMT-regulated transcripts in larvae at 72 hpf between microarray and qRT-PCR analysis

Gene Microarray
qRT-PCR
Gene targeting effect SEQ_ID
Fold SEM P-value Fold SEM P-value
arf3 30.2 4.4 0.02 1938.5 405.2 0.04 ADP-ribosylation factor related family member TC252426a
arf5 15.1 5.5 0.12 1523.4 174.6 0.01 ADP-ribosylation factor related family member ENSDART00000056047b
atf3 14.4 1.6 0.01 65.3 6.1 0.01 activating transcription factor 3 (atf3) OTTDART00000006631c
zgc:1105152 11.9 0.6 0.00 32.8 6.3 0.04 - NM_001017853d
rfp582 10.7 2.5 0.06 42.0 5.3 0.02 - ZV700S00001968e
stmn4l 9.9 1.2 0.02 14.3 1.4 0.01 stathmin-like 4: differentiation and proliferation OTTDART00000025126
Novel 9.4 3.5 0.14 43.9 6.2 0.02 - ENSDART00000058949
fosl1 9.3 1.8 0.05 81.4 8.0 0.01 protein similar to vertebrate FOS-like antigen 1 OTTDART00000023370
NID 12 8.6 1.9 0.06 14.6 2.0 0.02 - ZV700S00006532
NID 14 8.6 3.0 0.12 45.6 8.8 0.04 - ZV700S00000639
NID 13 8.1 1.4 0.04 12.4 1.9 0.03 - TC254817
bbc3 7.8 1.9 0.07 12.8 2.1 0.03 control permeable of the outer mitochondrial membrane ZV700S00004671
NID 19 7.4 1.5 0.05 16.3 2.6 0.03 - ZV700S00002527
atf5 7.3 1.1 0.03 15.2 0.9 0.00 activating transcription factor 5 OTTDART00000021442
Lepr 4.9 1.1 0.07 5.5 0.5 0.01 leptin receptor; type 2 diabetes mellitus ENSDART00000104616
mmp9 4.6 1.3 0.11 14.8 2.2 0.02 matrix metalloproteinase 9 OTTDART00000025258
zgc:162630 4.5 0.5 0.02 41.2 2.8 0.00 - NM_001082825
fam63a 3.7 0.6 0.04 11.1 0.3 0.00 - OTTDART00000017116
gcrk7a −3.4 0.6 0.06 −5.7 0.9 0.04 G-protein-coupled receptor kinase 7a OTTDART00000024144
Ndellb 3.4 0.5 0.04 4.4 0.1 0.00 NudE-like protein 1b: neurological disorders OTTDART00000024237
opsin1 −3.3 0.6 0.07 −7.1 0.8 0.02 opsin 1 (cone pigments), short-wave-sensitive 2 OTTDART00000002229
gnat2 −3.0 0.8 0.13 −6.9 1.1 0.04 G-protein alpha transducing activity polypeptide ZV700S00006718
arg2 2.8 2.1 0.49 13.8 0.3 0.00 arginase, type II; smooth muscle disorder OTTDART00000026242
Galca 2.8 0.9 0.18 2.7 0.6 0.09 galactosylceramidase: cellular surface cancers OTTDART00000004460
nnara6 −2.7 0.4 0.06 −4.9 1.2 0.09 neuronal nicotinic acetylcholine receptor alpha 6 NM_001042684
fen1 −2.6 0.3 0.03 −3.8 0.2 0.01 elongation of very long chain fatty acids (fen1) BC060897.1f
casp9 2.5 0.1 0.00 4.5 0.5 0.02 apoptosis-related cysteine peptidase OTTDART00000028081

3.6. In situ hybridization analysis

To localize arf3, arf5, atf3 and shha expression, embryos were exposed to 10 μM TMT or vehicle from 48 to 72 hpf followed byin situ hybridization (Fig. 6). Shha was used as a reference gene control and stained mainly the notochord, posterior and ventral diencephalon, and the expression was only modestly impacted by TMT exposure (Figs. 6A, B). The expression of arf3 was greatly increased by TMT exposure. Arf3 expression in control larvae was detected weakly in the eye and fore and midbrain, but intensely in the head, trunk and tail regions of TMT-exposed larvae (Figs. 6C, D). Similarly, arf5 expression in the TMT-exposed group was increased and localized to the head, trunk and tail regions compared to control larvae, but there was diminished stain intensity in the eye region (Figs. 6E, F). The expression of atf3 was present in the center of the eye of control group larvae, but in TMT treated larvae, atf3 expression extended to the eye periphery and to the midbrain and hindbrain regions (Figs. 6G, H).

Figure 6.

Figure 6

Representative images of in situ localization of shha, arf3, arf5 and atf3 expression in the control (A, C, E, G) and 10 μM TMT (B, D, F, H) exposed larvae at 72hpf. Inserted images show dorsal view of the head and tail region from the same larvae. Embryos were exposed to TMT from 48 to 72 hpf, fixed, permeabilized, and stained for imaging.

3.7. Pathway analysis

The TMT-misregulated transcripts were examined in the IPA software package to identify putative TMT targets. 24 of the 60 hpf TMT genes are involved in vasculature development and disease, with 11 transcripts elevated (e.g., fgf7, atp1a1, stat4, slc1a4, dpysl5, and ptk2) and 13 transcripts reduced (e.g., antnap1, arid4b, fhl1, bcl6, nrob2, erbb4, rnh1, and adarb1). 44 of the 72 hpf TMT genes are involved in vasculature development and disease, with 36 transcripts elevated (e.g., mapt, scd, rrad, lepr, mmp9,jun, vegfa, casp9, and bcl2l1) and 8 transcripts reduced (e.g., angptl4, ca2, slc1a2, and map2k6). These transcripts and the highly misregulated arf3, arf5, and atf3 genes were used to construct a putative TMT targeted vasculature pathway network (Fig. S2). In this network, a total of 26 transcripts were over expressed (e.g., lepr, stat3, vegfa, jun, bcl2l1, and mmp9, red labels in Fig. S2), and 2 transcripts were under expressed (e.g., gch1, and angpt1, green labels in Fig. S2).

3.8. Arf5 morphants protect TMT-induced vascular defects

To identify functional TMT target genes, we focused on arf3 and arf5 because of their strong induction by (Figs. 6D, F). arf3 and arf5 share 99% sequence similarity thus, we focused on morpholino knock down of arf5. The arf5 morpholino significantly reduced the parent arf5 transcript, and produced the predicted splice variant in 24 hpf embryos (Fig. 7A). Injection of arf5 morpholino at higher concentrations (e.g., ≥ 0.5 mM) was lethal. In the absence of TMT, vascular development was not affected by partial arf5 knock down indicating arf5 is not essential for vascular development. On the other hand, when arf5 morphants were exposed to 5 μM or 10 μM TMT, the TMT-elicited vascular phenotype was rescued in a significant number of larvae (Fig. 7B), suggesting that arf5 is a functional TMT target gene. Representative images of control morpholinos injected and arf-5 morphants is illustrated in figure 7C.

Figure 7.

Figure 7

Arf5 morpholino (arf5-MO) rescues TMT-induced blood vessel malformation in Tg (fli1a: EGFP) y1 zebrafish larva. (A) arf5 mRNA showing increased PCR band with the intron 1 addition (1-1*-2-3-4) from arf5 morpholino injected group compared to the control morpholino (control-MO) injected group (exon 1-2-3-4) at 24 hpf. (B) The percent larvae with abnormal vessels are significantly reduced with arf5 morphants exposed to TMT from 8 to 96 hpf compared to control larvae (n = 10 × 3). (C) Representative images of at 96 hpf Tg (fli1a: EGFP) y1 zebrafish injected with control or arf5 morpholinos exposed to vehicle or TMT. TMT exposed larvae display vessel defects. Arrows point to the intersegmental vessel (ISV) crossing part; the arrowheads point to abnormal vessel sprouts from the ISVs. The arf5 morphants have normal vascular patterns.

4. Discussion

In this study, we reported that TMT exposure produced pronounced developmental toxicity, including pericardial edema and aberrant blood vessel formation in larval zebrafish. The critical developmental window for TMT toxicity causing pericardial edema is between 48–72 hpf. Blood vessel deformities were vascular endothelial cell expansion and aberrant intersegmental vessel patterning. Whole genomic microarray analysis revealed that TMT misregulated numerous transcripts in pathways critical for normal vascular system development. In particular, arf3 and arf5 were significantly upregulated by TMT exposure and arf5 morphants were vascularly unaffected by TMT, suggesting that arf5 and its associated signaling pathway are TMT targets.

In the present study, the total vessel number was not altered under TMT exposure implying that TMT did not affect extension of the intersegmental arteries and veins. The ISVs are fully formed by 48 hpf at the trunk region under normal conditions, while sprouts for the vertebral artery (associated with the spinal cord) and the parachordal vessel (adjacent to the notochord, at the level of the horizontal myoseptum) do not begin to appear until 84 – 96 hpf (Isogai et al. 2001). Our studies pinpoint that these vessels are the ones affected most by TMT exposure during the 48–72hpf exposure window. It is well established that angiogenesis of small blood vessels occurs via sprouting of endothelial cells from the major axial artery and vein (Zhong et al. 2006). TMT exposure appears to lead to uncontrolled angiogenesis of small blood vessels. Mutations of angiogenic genes such as ephrinB2 and its receptors EphB4, obd, and plxnD1 affect blood vessel pathfinding in the zebrafish (Childs et al. 2002; Helbling et al. 2000; Torres-Vázquez et al. 2004). The knockdown of caldesmon (cal) leads to serious defects in vasculogenesis and angiogenesis in zebrafish morphants (Zheng et al. 2009). Vascular endothelial growth factor (vegf) is a key regulator of physiological angiogenesis during embryogenesis and signaled through receptor tyrosine kinases flk1 and flt1, and neuropilin (NP)1 and NP2 (Ng et al. 2006; Swift and Weinstein 2009). In the present unbiased microarray study, early life stage zebrafish exposed to TMT exhibited misexpression of many of these and additional angiogenic transcripts. These include vegfa, angiopoietin 1 (angpt1), angptl4, angiogenin inhibitor 1(rnh1), calcium and calmodulin dependent protein kinase II delta (camk2d), Ras-related genes associated with diabetes (rhoa and rrad). Previous studies with cell lines indicated that TMT induced toxicity was mediated through oxidative species which stimulated induction of iNOS followed by increased Bax expression and caspase-executed cell death (Zhang et al. 2006). However, these gene regulations along with others such as stannin, nuclear factor-kappa B (NF-kB), presenilin-1, apolipoprotein E, and pituitary adenylylcyclase-activating polypeptide (Florea and Busselberg 2009; Reese et al. 2005; Toggas et al. 1992) were likely related to TMT induced neuronal degeneration. Their roles in TMT induced vascular deformity are unknown.

At the 60 hpf time point, stat4 was elevated and it is an upstream regulator for stat3, atf4, vegfa, and bcl2l1 that were also elevated at 72 hpf in our study. At the 72 hpf time point 459 transcripts were altered >2 fold, with the majority elevated ≥80% relative to controls. Only four transcripts were reduced suggesting that TMT functioned as signal stimulator rather than inhibitor. Among the 339 transcripts at 72 hpf with greater than 2-fold increase expression in response to TMT, 38 genes were transcription regulators and 74 genes were nuclear. Many of these transcription regulators are activated by phosphorylation, and involved in cascade signaling transduction. We hypothesize that TMT-mediated misexpression of these transcriptional regulators lead to secondary changes in gene expression.

In situ hybridization revealed TMT-induced arf3 and arf5 expression in the head, trunk, and tail regions. Expression of arf3 and arf5 in the trunk region co-aligned with the ISV region, suggesting that arf3 and arf5 may play a significant role in TMT induced vascular hyperproliferation. The strong staining of arf3 and arf5 in the heavily vascularized head region might be expected to affect development of the zebrafish brain. However, we cannot preclude the potential effects of arf3 and arf5 on the heavily innervated brain region. It is known that the nervous and vascular systems often overlap with each other in anatomy and share similar molecular machinery (Melani and Weinstein 2010). Thus, arf3 and arf5 may target the developmental nervous system. Future studies are needed to identify the function of arf3 and arf5 in TMT induced neurotoxicity. It is noteworthy that developmental TMT exposure also results in behavioral deficits in larval zebrafish (Chen et al. 2011). The expression of atf3 was mainly restricted to the eye region, consistent with other studies where atf3 expression was elevated in the ganglion cell layer of the retina, the nerve fiber layer, and the optic nerve of the injured eye (Saul et al. 2010). The function of atf3 in TMT induced zebrafish developmental toxicity is unknown.

When arf5 expression was reduced by morpholino knockdown, the TMT-induced vascular deficits were significantly less pronounced than control morphants exposed to the same concentrations of TMT. These findings suggested that arf5 plays a significant role in TMT-mediated vascular toxicity. Arfs are a family of highly conserved Ras-related GTP binding proteins that function in the regulation of vesicular traffic and actin remodeling (McGonnell and Fowkes 2006; Schrick et al. 2006). More recently, membrane or vesicular trafficking has been suspected to be involved in multiple steps of angiogenic processes such as vessel sprouting (Wu et al. 2011) and lumenal expansion (Herbert and Stainier 2011; Zovein et al. 2010). Further exploration is necessary to fully unravel the underlying mechanism for arf mediated TMT-induced vascular toxicity.

Supplementary Material

01

Acknowledgments

This work was supported in part by funding from the project of National Natural Science Foundation of China (20977068), the major project of Science and Technology Department of Zhejiang Province (NO.2008C03001-2), the National Environmental Protection Public Welfare Science and Technology Research Program of China (200909089), the key project of Natural Science Foundation of Zhejiang Province (Z2080266), the International Collaboration Project from Wenzhou City Government (H20070037), the Natural Science Foundation of Zhejiang Province (NO.Y2080434) and the National Institute of Environmental Health Sciences grants P30 ES 00210 and P42 ES 016465. Microarray data has been submitted to the NIH GEO repository under project # GSE28131.

Footnotes

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References

  1. Blunden SJ, Hobbs LA, Smith PJ. The environmental chemistry of organotin compounds. In: Bowen HJM, editor. Environmental Chemistry. The Royal Society of Chemistry; 1984. pp. 49–77. [Google Scholar]
  2. Hoch M. Organotin compounds in the environment -- an overview. Applied Geochemistry. 2001;16:719–743. [Google Scholar]
  3. Tang X, Yang X, Lai G, Guo J, Xia L, Wu B, Xie Y, Huang M, Chen J, Ruan X, Sui G, Ge Y, Zuo W, Zhao N, Zhu G, Zhang J, Li L, Zhou W. Mechanism underlying hypokalemia induced by trimethyltin chloride: Inhibition of H+/K+-ATPase in renal intercalated cells. Toxicology. 2010;271:45–50. doi: 10.1016/j.tox.2010.02.013. [DOI] [PubMed] [Google Scholar]
  4. Tang XJ, Lai GC, Huang JX, Li LY, Deng YY, Yue F, Zhang Q. Studies on hypokalemia induced by trimethyltin chloride. Biomed Environ Sci. 2002;15:16–24. [PubMed] [Google Scholar]
  5. Liu J, Jiang G, Liu J, Zhou Q, Yao Z. Evaluation of Methyltin and Butyltin Pollution in Beijing Guanting Reservoir and Its Downriver Yongding River. Bulletin of Environmental Contamination and Toxicology. 2003;70:0219–0225. doi: 10.1007/s00128-002-0180-9. [DOI] [PubMed] [Google Scholar]
  6. Shawky S, Emons H. Distribution pattern of organotin compounds at different trophic levels of aquatic ecosystems. Chemosphere. 1998;36:523–535. doi: 10.1016/s0045-6535(97)10011-x. [DOI] [PubMed] [Google Scholar]
  7. Li, Jun X, Wangbao G, Deguang Y, Guangjun W, Xiaojiang T. China environmental science. 2011. Toxicity effect of trimethyltin chloride on aquatic organisms. [Google Scholar]
  8. El-Fawal HAN, O’Callaghan JP. Autoantibodies to neurotypic and gliotypic proteins as biomarkers of neurotoxicity: Assessment of trimethyltin (TMT) NeuroToxicology. 2008;29:109–115. doi: 10.1016/j.neuro.2007.09.009. [DOI] [PubMed] [Google Scholar]
  9. Zuo Z, Cai J, Wang X, Li B, Wang C, Chen Y. Acute administration of tributyltin and trimethyltin modulate glutamate and N-methyl-d-aspartate receptor signaling pathway in Sebastiscus marmoratus. Aquatic Toxicology. 2009;92:44–49. doi: 10.1016/j.aquatox.2009.01.008. [DOI] [PubMed] [Google Scholar]
  10. Holden LJ, Coleman MD. Assessment of the astrogliotic responses of three human astrocytoma cell lines to ethanol, trimethyltin chloride and acrylamide. Toxicology. 2007;241:75–83. doi: 10.1016/j.tox.2007.08.083. [DOI] [PubMed] [Google Scholar]
  11. Liu Y, Imai H, Sadamatsu M, Tsunashima K, Kato N. Cytokines participate in neuronal death induced by trimethyltin in the rat hippocampus via type II glucocorticoid receptors. Neuroscience Research. 2004;50:209–217. doi: 10.1016/j.neures.2004.06.019. [DOI] [PubMed] [Google Scholar]
  12. Yoneyama M, Seko K, Kawada K, Sugiyama C, Ogita K. High susceptibility of cortical neural progenitor cells to trimethyltin toxicity: involvement of both caspases and calpain in cell death. Neurochem Int. 2009;55:257–264. doi: 10.1016/j.neuint.2009.03.008. [DOI] [PubMed] [Google Scholar]
  13. Gomez FD, Apodaca P, Holloway LN, Pannell KH, Whalen MM. Effect of a series of triorganotins on the immune function of human natural killer cells. Environmental Toxicology and Pharmacology. 2007;23:18–24. doi: 10.1016/j.etap.2006.06.001. [DOI] [PubMed] [Google Scholar]
  14. Holloway LN, Pannell KH, Whalen MM. Effects of a series of triorganotins on ATP levels in human natural killer cells. Environmental Toxicology and Pharmacology. 2008;25:43–50. doi: 10.1016/j.etap.2007.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Cai J, Wang M, Li B, Wang C, Chen Y, Zuo Z. Apoptotic and necrotic action mechanisms of trimethyltin in human hepatoma G2 (HepG2) cells. Chem Res Toxicol. 2009;22:1582–1587. doi: 10.1021/tx900120z. [DOI] [PubMed] [Google Scholar]
  16. Mundy WR, Freudenrich TM. Apoptosis of cerebellar granule cells induced by organotin compounds found in drinking water: involvement of MAP kinases. Neurotoxicology. 2006;27:71–81. doi: 10.1016/j.neuro.2005.07.007. [DOI] [PubMed] [Google Scholar]
  17. Alama A, Tasso B, Novelli F, Sparatore F. Organometallic compounds in oncology: implications of novel organotins as antitumor agents. Drug Discovery Today. 2009;14:500–508. doi: 10.1016/j.drudis.2009.02.002. [DOI] [PubMed] [Google Scholar]
  18. Nath M. Toxicity and the cardiovascular activity of organotin compounds: a review. Applied Organometallic Chemistry. 2008;22:598–612. [Google Scholar]
  19. Melani M, Weinstein BM. Common Factors Regulating Patterning of the Nervous and Vascular Systems*. Annual Review of Cell and Developmental Biology. 2010;26:639–665. doi: 10.1146/annurev.cellbio.093008.093324. [DOI] [PubMed] [Google Scholar]
  20. Westerfield M. A Guide for the Laboratory Use of Zebrafish (Danio rerio) University of Oregon Press; Eugene, OR: 1995. The Zebrafish Book. [Google Scholar]
  21. van Eeden FJM, Granato M, Odenthal J, Haffter P. Methods in cell biology. 1999. Developmental mutant screens in the zebrafish; pp. 21–41. [DOI] [PubMed] [Google Scholar]
  22. Bolstad BM, Irizarry RA, Åstrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003;19:185–193. doi: 10.1093/bioinformatics/19.2.185. [DOI] [PubMed] [Google Scholar]
  23. Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Research. 2003;31:e15. doi: 10.1093/nar/gng015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, Lane HC, Lempicki RA. DAVID: Database for annotation, visualization, and integrated discovery. Genome Biology. 2003:4. [PubMed] [Google Scholar]
  25. Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols. 2009;4:44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
  26. Thisse C, Thisse B. High-resolution in situ hybridization to whole-mount zebrafish embryos. Nat Protocols. 2008;3:59–69. doi: 10.1038/nprot.2007.514. [DOI] [PubMed] [Google Scholar]
  27. Isogai S, Horiguchi M, Weinstein BM. The Vascular Anatomy of the Developing Zebrafish: An Atlas of Embryonic and Early Larval Development. Developmental Biology. 2001:230. doi: 10.1006/dbio.2000.9995. [DOI] [PubMed] [Google Scholar]
  28. Zhong H, Wu X, Huang H, Fan Q, Zhu Z, Lin S. Vertebrate MAX-1 is required for vascular patterning in zebrafish. Proceedings of the National Academy of Sciences. 2006;103:16800–16805. doi: 10.1073/pnas.0603959103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Childs S, Chen JN, Garrity DM, Fishman MC. Patterning of angiogenesis in the zebrafish embryo. Development. 2002;129:973–982. doi: 10.1242/dev.129.4.973. [DOI] [PubMed] [Google Scholar]
  30. Helbling PM, Saulnier DM, Brandli AW. The receptor tyrosine kinase EphB4 and ephrin-B ligands restrict angiogenic growth of embryonic veins in Xenopus laevis. Development. 2000;127:269–278. doi: 10.1242/dev.127.2.269. [DOI] [PubMed] [Google Scholar]
  31. Torres-Vázquez J, Gitler AD, Fraser SD, Berk JD, Van NP, Fishman MC, Childs S, Epstein JA, Weinstein BM. Semaphorin-Plexin Signaling Guides Patterning of the Developing Vasculature. Developmental Cell. 2004;7:117–123. doi: 10.1016/j.devcel.2004.06.008. [DOI] [PubMed] [Google Scholar]
  32. Zheng PP, Severijnen LA, van der Weiden M, Willemsen R, Kros JM. A crucial role of caldesmon in vascular development. Cardiovascular Research. 2009;81:362–369. doi: 10.1093/cvr/cvn294. [DOI] [PubMed] [Google Scholar]
  33. Ng YS, Krilleke D, Shima DT. VEGF function in vascular pathogenesis. Experimental Cell Research. 2006;312:527–537. doi: 10.1016/j.yexcr.2005.11.008. [DOI] [PubMed] [Google Scholar]
  34. Swift MR, Weinstein BM. Arterial-Venous Specification During Development. Circ Res. 2009;104:576–588. doi: 10.1161/CIRCRESAHA.108.188805. [DOI] [PubMed] [Google Scholar]
  35. Zhang L, Li L, Prabhakaran K, Borowitz JL, Isom GE. Trimethyltin-induced apoptosis is associated with upregulation of inducible nitric oxide synthase and Bax in a hippocampal cell line. Toxicology and Applied Pharmacology. 2006;216:34–43. doi: 10.1016/j.taap.2006.05.004. [DOI] [PubMed] [Google Scholar]
  36. Florea AM, Busselberg D. Anti-cancer drugs interfere with intracellular calcium signaling. Neurotoxicology. 2009;30:803–810. doi: 10.1016/j.neuro.2009.04.014. [DOI] [PubMed] [Google Scholar]
  37. Reese BE, Davidson C, Billingsley ML, Yun J. Protein Kinase C_ Regulates Tumor Necrosis Factor-α-Induced Stannin Gene Expression. Journal of Pharmacology and Experimental Therapeutics. 2005;314:61–69. doi: 10.1124/jpet.105.084236. [DOI] [PubMed] [Google Scholar]
  38. Toggas SM, Krady JK, Billingsley ML. Molecular neurotoxicology of trimethyltin: identification of stannin, a novel protein expressed in trimethyltin-sensitive cells. Molecular Pharmacology. 1992;42:44–56. [PubMed] [Google Scholar]
  39. Chen J, Huang C, Zheng L, Simonich M, Bai C, Tanguay R, Dong Q. Trimethyltin chloride (TMT) neurobehavioral toxicity in embryonic zebrafish. Neurotoxicol Teratol. 2011;33:721–726. doi: 10.1016/j.ntt.2011.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Saul KE, Koke JR, García DM. Activating transcription factor 3 (ATF3) expression in the neural retina and optic nerve of zebrafish during optic nerve regeneration. Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology. 2010;155:172–182. doi: 10.1016/j.cbpa.2009.10.042. [DOI] [PubMed] [Google Scholar]
  41. McGonnell IM, Fowkes RC. Fishing for gene function - endocrine modelling in the zebrafish. J Endocrinol. 2006;189:425–439. doi: 10.1677/joe.1.06683. [DOI] [PubMed] [Google Scholar]
  42. Schrick JJ, Vogel P, Abuin A, Hampton B, Rice DS. ADP-Ribosylation Factor-Like 3 Is Involved in Kidney and Photoreceptor Development. Am J Pathol. 2006;168:1288–1298. doi: 10.2353/ajpath.2006.050941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Wu C, Agrawal S, Vasanji A, Drazba J, Sarkaria S, Xie J, Welch CM, Liu M, Anand-Apte B, Horowitz A. Rab13-dependent Trafficking of RhoA Is Required for Directional Migration and Angiogenesis. Journal of Biological Chemistry. 2011;286:23511–23520. doi: 10.1074/jbc.M111.245209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Herbert SP, Stainier DYR. Molecular control of endothelial cell behaviour during blood vessel morphogenesis. Nat Rev Mol Cell Biol. 2011;12:551–564. doi: 10.1038/nrm3176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Zovein AC, Luque A, Turlo KA, Hofmann JJ, Yee KM, Becker MS, Fassler R, Mellman I, Lane TF, Iruela-Arispe ML. Integrin Establishes Endothelial Cell Polarity and Arteriolar Lumen Formation via a Par3-Dependent Mechanism. Developmental Cell. 2010;18:39–51. doi: 10.1016/j.devcel.2009.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]

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