Abstract
In the last few decades, the field of nanomedicine applied to cancer has revolutionized cancer treatment: several nanoformulations have already reached the market and are routinely being used in the clinical practice. In the case of genetic nanomedicines, i.e., designed to deliver gene therapies to cancer cells for therapeutic purposes, advances have been less impressive. This is because of the many barriers that limit the access of the therapeutic nucleic acids to their target site, and the lack of models that would allow for an improvement in the understanding of how nanocarriers can be tailored to overcome them. Zebrafish has important advantages as a model species for the study of anticancer therapies, and have a lot to offer regarding the rational development of efficient delivery of genetic nanomedicines, and hence increasing the chances of their successful translation. This review aims to provide an overview of the recent advances in the development of genetic anticancer nanomedicines, and of the zebrafish models that stand as promising tools to shed light on their mechanisms of action and overall potential in oncology.
Keywords: nanomedicines, cancer, gene therapies, zebrafish, translation
1. Nanotechnology Provides Innovative Approaches to Cancer Management
In recent decades, an increasing understanding of the molecular and biological basis of cancer and the discovery of novel technologies has led to improvements in cancer survival. The development of early detection tools and targeted treatments, as well as changes in patients’ lifestyle, have contributed to this higher rate of cancer survival. The development of new nanomedicines for cancer treatment is an interdisciplinary research field that includes biology, chemistry, engineering, and medicine, with a clear goal: advancing cancer detection, diagnosis, and treatment.
Different types of nanocarriers, including liposomes and other lipid-based nanosystems, polymer-based nanoparticles, micelles, polyplexes, dendrimers, polymersomes and drug/protein conjugates have been proposed during the last few decades in cancer research [1,2,3,4,5,6,7,8,9,10,11]. For cancer treatment, the goal is to enhance the efficacy and decrease the toxicity of the current therapeutics by altering their pharmacokinetic profile, increasing their solubility and stability in biological fluids, augmenting their accumulation in tumors, and reducing their toxicity. Biological drugs, such as gene therapies, peptides and proteins, can also benefit greatly from the application of nanotechnology that could protect them from premature degradation and facilitate their access to the intracellular compartment [12,13,14,15]. Liposomes are the most common type of nanostructure that have translated into marketed products [16,17,18,19,20,21]. Back in 1995, the US Food and Drug Administration (FDA) approved the first nanoparticle for cancer treatment, Doxil©, a liposomal nanoparticle loaded with the chemotherapeutic drug doxorubicin [22]. Since then, other nanotherapeutics based on liposomes have reached the market such as Pegylated liposomal doxorubicin (Doxil©/Caelyx©), liposomal cytarabine (DepoCyt©), Daunorubicin citrate Liposomes (DaunoXome©), liposomal doxorubicin (Myocet©), Vincristine Sulfate Liposomes (Marqibo©), liposomal irinotecan (Onivyde©). Paclitaxel polymeric nanoparticles (Opaxio©), pegylated L-asparaginase polymeric nanoparticles (Oncaspar©), leuprolide acetate polymeric micelles (Eligard©), oxaliplatin micelles (Eloxatin©), polymer–protein conjugate pegfilgrastim (Neulasta©), albumin-paclitaxel (Abraxane©), Denileukin diftitox (Ontak©), Brentuximab-Monomethyl auristatin E (MMAE) (Adcetris™), and Trastuzumab-Emtansine (Kadcyla©) are examples of different types of nanostructures that have led to products already in clinical use.
Apart from their use in the possible development of nanotherapeutics, nanoparticles are also useful tools in the diagnosis field, due, in the case of inorganic nanoparticles, to their intrinsic properties that allow a direct tracking, and, in the case of organic nanoparticles, to their ability to accommodate/encapsulate different molecules and contrast agents for imaging applications. Many contrast agents are currently being studied with this goal in mind, including super-paramagnetic iron oxide nanoparticles and ultra-small super-paramagnetic iron oxide nanoparticles, heavy metal (i.e., gold, lanthanide, and tantalum) nanoparticles, technetium-99m (99mTC) sulphur colloid nanoparticles, I-labeled cRGDY silica nanoparticles, surface-enhanced Raman scattering nanoparticles, and single-walled carbon nanotubes. Organic nanoparticles such as liposomes, micelles, and nanoemulsions can, for example, encapsulate super-paramagnetic iron oxide nanoparticles, or be radiolabeled with radioisotopes such as 89Zr, 111In, 18F, 64Cu or 68Ga for molecular imaging [23,24,25,26]. The imaging modalities currently available experimentally are: ultrasound, magnetic resonance imaging (MRI), optical imaging, molecular imaging, computed tomography (CT), positron emission tomography (PET), and single-photon emission computed tomography (SPECT). However, in clinics, the most used modalities for whole-body imaging are CT, MRI, PET and SPECT. For organ-specific examinations, ultrasounds are of preference since they are faster and less expensive, while, for superficial lesions, endoscopic, and intraoperative procedures, optical and photo-acoustic applications are more suitable [27,28].
Finally, nanoparticles also have a great potential as nanotheranostics, i.e., multifunctional nanoparticles that combine, into a single entity, elements for therapy and for diagnosis. Nanotheranostics have been explored for applications combining different imaging modalities and therapeutic applications, such as photodynamic therapy, photothermal, phototriggered chemotherapeutic release, ultrasound triggered, electro-thermal, magnetothermal, X-ray, and radiofrequency therapies [27,29]. Moreover, nanotheranostics are gathering great interest because they might provide a deeper understanding of key aspects that could make a nanoparticle formulation successful—such as drug release kinetics and penetration of nanocarriers within tumors—monitoring therapeutic responses, as well as allowing the implementation of novel strategies, such as imaging-guided local therapy [30,31]. To date, there is only one formulation undergoing clinical trials (Phase I) for the treatment of multiple brain metastases, AGuIX® (Activation and Guidance of Irradiation by X-ray), a gadolinium-based nanoparticle of around 5 nm diameter, developed mainly for imaging applications due to its magnetic resonance contrast properties. However, when it is combined with X-ray radiation, it increases three-fold the radiotherapy effectiveness in mice, playing a double role, as radiosensitizer and as imaging agent (NCT02820454) [32,33]. We believe that nanotheranostics have a lot of potential in cancer management, and could definitively make an impact in the clinical practice by, concurrently, diagnosing the disease, helping patients stratification, guiding focal therapy, tracking drug release and penetration within tumors, monitoring response, and, if required, switching treatments.
2. Genetic Nanomedicines and the Main Challenges for Their Translation to the Clinic
Advances in genetics and molecular biology have led to the development of new therapies that can specifically modulate the expression of relevant genes in order to correct abnormalities and restore their original biological function. Some of the strategies of gene therapy include (i) silencing oncogene expression, (ii) promoting tumor-suppressor genes, (iii) correcting mutations, (iv) suicide gene therapy, (v) suppressing tumor angiogenesis, and (vi) activating an immune response against tumor cells. For these purposes, plasmid DNA (pDNA), minicircles (supercoiled circular DNA), oligonucleotides (ASOs, decoys, aptamers), RNA interference (short-hairpin (shRNA), small interfering RNA (siRNA) and microRNA (miRNA)) are being extensively explored [34]. However, because naked nucleic acids are vulnerable to enzymatic degradation, rapid clearance, and non-specific biodistribution, only low gene expression efficiencies can be achieved. Hence, the primary challenge of gene therapy is to develop effective carriers able to protect the nucleic acids and facilitate their internalization into the targeted cells at the targeted site [35].
Traditionally, vectors for gene therapy applications are divided into viral and non-viral carriers. Most gene vectors (~69%) currently undergoing clinical trials involve viruses (i.e., retroviruses, lentiviruses, adenoviruses, and adeno-associated viruses). In August 2017, the FDA approved the first gene therapy in the United States, Tisagenlecleucel (Kymriah©) from Novartis Pharma AG (Basel, Switzerland), for certain pediatric and young adult patients with a form of acute lymphoblastic leukemia whose first-line drugs have failed [36]. This pioneer gene therapy—based on a self-inactivating lentiviral vector that contains extensively modified sequences from HIV-1 so as to deliver chimeric antigen receptor (CAR)-encoding sequences into T cells to target and kill leukemia cells with specific antigen (CD19) on the surface—achieves an overall remission rate of 83% (52/63) in this patient population [37]. Despite these advances, many concerns still remain regarding the use of viral vectors, such as their potential immunogenicity, the possibility of reversion to the virulent form or the viruses, and also their high production costs [35]. Alternative synthetic vectors, made out of natural, semi-synthetic or synthetic materials, offer a safer alternative to introduce genetic materials into the targeted cells. Numerous non-viral gene delivery systems for different types of nucleic acids (mainly pDNA, siRNA and miRNA) have been described to date [34,38]. Different applications for the development of novel anticancer genetic nanomedicines have similarly being explored, including suicide gene therapies, anti-angiogenic gene therapies, immunotherapies, restoration of oncosuppressor RNAs, or gene silencing of oncogenes, or specific non-coding RNAs (antagomirs), or proteins involved in resistance to chemo- and radio-therapies, anti-apoptotic proteins, epigenetic regulation, etc., as recently reviewed by Bottai et al. [39]. The main preclinical studies of the different applications of nanoparticles for gene therapy reported successful in mice models are summarized in Table 1 (reporter genes and experiments referring to over expression/silencing of housekeeping genes are not included).
Table 1.
Nanocarrier | Gene Vector | Target | Indication | Administration Route | Ref |
---|---|---|---|---|---|
Liposomes | miRNA | Restoration of oncossuppressor | Breast cancer | Tail vein | [40] |
siRNA | EpCAM silencing | Breast cancer | Tumor adjacent | [41] | |
siRNA | Anti-angiogenesis | Breast cancer | Intratumoral | [42] | |
miRNA | Restoration of oncosuppressor | Hepatocellular carcinoma | Intratumoral | [43] | |
shRNA | WT1 silencing | Melanoma | Tail vein | [44] | |
Polymeric nanoparticles | pDNA | Anti-angiogenesis | Colon cancer | Tail vein | [45] |
pDNA | Induce apoptosis | Ovarian cancer | Intraperitoneal | [46] | |
pDNA | Suicide gene therapy | Ovarian cancer | Intraperitoneal | [47] | |
pDNA | Immunotherapy | Colorectal cancer | Intratumoral | [48] | |
pDNA | Suicide gene therapy | Colon cancer | Intratumoral | [49] | |
Lipid nanoparticles | siRNA | Androgen receptor silencing | Prostate cancer | Tail vein | [50] |
miRNA | Restoration of microRNA-26a | Lymphocytic leukemia | Intraperitoneal | [51] | |
Dendrimers | si/shRNA | ITCH silencing | Pancreatic cancer | Tail vein | [52] |
siRNA, small interference RNA; shRNA, short-hairpin RNA; pDNA, plasmid DNA; miRNA, microRNA; EpCAM, epithelial cell adhesion molecule; WT1, Wilms Tumor 1.
Recent advances in non-viral gene vectors regarding efficiency, specificity, safety and gene expression durability have led to an increase in the number of nanoparticle-based gene delivery vectors in clinical trials while the number of viral vectors have dropped significantly [53]. Some examples in cancer are related to liposomes for siRNA, microRNA or pDNA delivery (NCT01591356, NCT01829971, NCT01489371, NCT02340156); lipid nanoparticles (NCT02314052, NCT01437007) or polymeric nanoparticles (NCT02956317) [54]. Unfortunately, non-viral vectors have not reached the market yet.
The design of successful synthetic nanovectors poses a big challenge since they need to overcome important biological barriers. Nanovectors need (i) to be safe and adequate for parenteral administration, (ii) efficiently protect nucleic acids from degradation, and (iii) promote their access to the target intracellular compartment in the target cell (depending on the selected gene therapeutic system, i.e., plasmid DNA, RNAi, non-coding RNA (ncRNAs), oligonucleotides, etc.), in enough amounts to mediate a therapeutic effect (depending on the potency of the molecule, specificity, and stability) [34,55,56,57,58]. All these aspects should be taken into consideration from early development to increase the chances of translation into early-phase clinical trials [11,59,60,61]. The development of functional assays and the selection of adequate animal models for therapeutic evaluation are also key steps that critically affect the outcome of the preclinical evaluation.
Although a number of gene-delivery nanovectors have been claimed to be efficient, most of the studies have been done in vitro, on immortalized cancer cell lines, and only a few have actually addressed the therapeutic outcome in vivo. While in vitro experiments include evaluation of toxicity (e.g., MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide), MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium) or trypan blue staining assays), transfection efficiency (e.g., internalization of fluorescent nanoparticles/nucleic acids by confocal microscopy or/and flow cytometry), gene expression (e.g., RT-PCR, western blot, or ELISA assays), and sometimes functional assays (e.g., evaluation of cell proliferation, migration and invasion, colony formation, angiogenesis, and apoptosis), in vivo reports in animal models (mainly rodents) are mostly limited to measuring a therapeutic effect in terms of tumor growth, providing only a yes or no answer. Therefore, the causes behind the therapeutic failure are not well understood. In our opinion, it is necessary to learn more about the in vivo performance of genetic nanomedicines, and to incorporate functional assays in animal models, in order to speed up the translation of genetic nanomedicines to a clinical setting. Novel tools and models that would allow fast and low-cost comparative studies for the rational optimization of genetic nanomedicines are urgently needed.
3. Zebrafish as a Model Species
Zebrafish (Danio rerio) is a freshwater fish belonging to the Cyprinidae family, common in the river Ganga basin on the Indian sub-continent. Zebrafish has some well-known characteristics that makes it really attractive as a model for human diseases [62,63,64,65]. In fact, it has achieved the status of model species, and been presented as an extraordinary complement to murine models, and a promising alternative [64]. For one, zebrafish’s maintenance is affordable in terms of feasibility and costs. Moreover, adult individuals are small in size (2.5–4 cm), which makes the space requirements not very demanding. In addition, it has high fecundity and fertilization rates (up to 200 fertilized eggs per mating pair and week), and presents external fertilization, which allows for performing directed crosses, as well as in vitro fertilization. It also presents relatively short generation times—around three months. Finally, the genome of zebrafish, whose complete DNA sequence was published in 2013 [66], shows approximately 70% of homology with the human genome, and 82% of orthologous human disease-related genes.
Zebrafish embryos are particularly interesting for biomedical applications [67,68]. As early as 48 h post fertilization (hpf), embryos raised at 28.5 °C hatch from the chorion (external and acellular protective membrane), and become free-living animals with a complete body pattern, and almost completely functional organs [69]. At this time, the innate immune system is already active [70], but the adaptive immune system will not be fully operating until 4–6 weeks post fertilization (wpf) [71], although expression of some genes of the adaptive immune system starts as early as eight days post fertilization (dpf) [72]. Therefore, the results of analyses carried out during the embryo-larval phases can be traced back to the innate immune system.
Zebrafish embryos are robust and can survive different procedures right after fertilization, including genetic manipulation, morpholino [73,74,75] or ribonucleoprotein (CRISPR/Cas) [76,77,78,79] microinjection at single cell stage, as well as cancer cell xenotransplants [80,81,82,83,84,85]. In addition, they are transparent, which gives them a definite advantage in many fields of study, because it makes possible, for example, to examine the development of internal structures, and the tracking of the movements and biodistribution of labeled particles (microorganisms, cells, nanoparticles…) in real time [85,86,87,88]. Visualization can be hampered by the early production of melanin during their embryonic development, as early as 24 hpf (prim5 developmental stage). However, melanin production can be easily blocked by treating the embryos with 1-phenyl 2-thiourea (PTU) [69]. Additionally, the small size of zebrafish embryos (assays can be performed in 96 or, less suitably, in 384 multi-well plates), and the fact that they can live in small volumes (so that low quantities of the tested compounds are required) make this a suitable model for high-throughput analyses [89,90]. An adult also transparent line (casper) was developed [91], which allows for carrying out similar analyses in adults [92,93,94].
Finally, the European Food Safety Administration [95] has stated that fish in these early developmental stages, up to 5 dpf, are less likely to experience pain, suffering, distress, or suffer lasting harm, in accordance with the 3Rs Principles (replacement, reduction, and refinement) for humane animal research [96].
Therefore, taking all these facts into consideration, zebrafish has been accepted as a suitable model for biomedical purposes, for it could provide results faster than research on non-transparent, less prolific, more time-consuming, and expensive rodents, and improve the biological interpretation of the results compared to working on invertebrate models, which are phylogenetically further from human beings, and from in vitro analyses, which lack body interactions.
4. Zebrafish Is Currently Being Used for the Development of Anticancer Therapeutics
The pathological mechanisms underlying cancer are some of the most challenging processes to understand because of their variety and complexity. Zebrafish is considered a complementary model to murine and other previous models for the study of the genetic basis of cancer and for the evaluation of carcinogenic and novel antitumoral compounds in drug discovery [97,98,99,100,101,102,103,104,105,106,107,108].
Zebrafish has proven to be a good model to predict adverse drug effects during animal preclinical and human clinical data [109]. This is because many of the cellular and molecular mechanisms involved in zebrafish’s response to toxicity or stress are similar to those of mammals [110,111]. The publication of the DNA sequence of the zebrafish genome confirmed that relevant molecular pathways, including those implicated in cancer, are similar to those of mammals [66], which made zebrafish an attractive choice for cancer research [67,106,112,113]. A parallel approach for modeling cancer has been the (xeno) transplant of human cancer cells into zebrafish embryos, which led to the development of the so-called xenografted embryos. The proliferation, spreading and metastasizing of microinjected cancer cells is possible because the zebrafish embryos lack an adaptive immune system. Since the first successful model in 2005 and further improvements in 2006 [80,114], different xenograft zebrafish models have been reported bearing either commercial human cancer cell lines or primary tumor cells, including cancers from different origins (i.e., melanoma, breast carcinoma, colorectal, pancreatic, ovarian, kidney, lung, oral, prostate, leukemia, etc.) [80,82,85,115,116,117,118,119].
As indicated above, zebrafish cancer models have been used for novel drug screening, as well as for reanalysis of known drugs [97,100,105,106,107,108,113,120]. Nevertheless, due to the nanotechnology revolution on anticancer drug delivery, as stated in Section 1, recent studies also highlight the potential of zebrafish for the evaluation of novel anticancer nanomedicines. Most studies measured the toxicity and safety of blank nanoparticles (i.e., prior to drug incorporation) using different procedures, but also covered morphological descriptions of zebrafish after administration of sub lethal doses, and experiments of gene expression [68,121,122,123]. Taking advantage of the embryo transparency, biodistribution studies have also been performed to determine the ability of the nanocarriers to reach the target site, and even surpass complex biological barriers, such as the blood–brain barrier [124,125,126]. Apart from determining these critical parameters, the zebrafish xenograft model has also been proven useful in the study of the interaction between drug-loaded nanocarriers and xenografted cells, for example when studying a possible reduction in the population of cancer cells [68,127,128,129]. Among others, it is worth mentioning Yang and collaborators’ studies [129] that describe the interaction of targeted doxorubicin-loaded liposomes with HeLa cells, and the efficiency of this strategy in a xenograft model of zebrafish, and also the work of Evensen and collaborators [127] that describes the ability of PEGylated nanocarriers to avoid uptake by macrophages, a fact that translates in improved circulation times and increased accumulation into the tumors. Figure 1 depicts a visual example of liposomes labeled in green and distributed along the fish blood vessels upon injection into the circulation (A) and their subsequent uptake by macrophages labeled in red (yellow dots).
5. The Potential of Zebrafish for Increasing the Translation of Genetic Anticancer Nanomedicines: Barriers and Models
Apart from the use of zebrafish for the development of novel cancer therapeutics, including nanotherapeutics, only a few studies have been reported using this model to test preclinical genetic nanomedicines [130,131,132]. The first study found in the literature evaluates a synergistic therapy based on the co-encapsulation of a pigment-epithelium-derived factor (PEDF) plasmid with paclitaxel, a small molecular chemotherapeutic drug, into poly(lactic-co-glycolic acid) (PLGA) nanoparticles, in a transgenic zebrafish model Flk-1:eGFP. The results showed an active targeting that translates into an effective and safe antiangiogenic therapy [130]. The second example covers the development of a retro-inverse amphipathic RICK (retro-inverse form of the CADY-K peptide) peptide as novel non-covalent siRNA carrier. The designed nanoparticles show an effective siRNA protection, based on the specific protease resistant peptide sequence. The authors investigated the effect of a polyethylene glycol (PEG) grafting to RICK nanoparticles on their in vitro and in vivo capacity to deliver siRNA. In vivo assays performed in Casper zebrafish followed the biodistribution of fluorescent-labeled nanoparticles after injection at the one-cell stage in zebrafish embryos. The authors described a modular, easy-to-handle drug delivery system that could be adapted to other types of functional moieties in order to develop safe and biocompatible delivery systems for the clinical application of RNAi-based cancer therapeutics [131]. Finally, Cordeiro et al. [132] reported the design of a gold nanobeacon able to silence enhanced green fluorescence protein (EGFP) in embryos of a fli-EGFP transgenic zebrafish line. Results in this model allowed the authors to conclude that they have developed a biocompatible and efficient nanoplatform for gene silencing purposes.
As illustrated in Figure 2, a closer evaluation of the in vivo performance of genetic nanomedicines and a detailed study of their ability to overcome the critical barriers that might hamper a successful therapy are key factors in order to speed up their translation to clinic.
Next, we describe the most relevant barriers to gene delivery, and the zebrafish models that, in our understanding, can be useful for a rational design of successful anticancer genetic nanomedicines (compiled in Table 2).
Table 2.
Model | Features | Application | Ref |
---|---|---|---|
Wild type | From nature, with pigmentation according to sex, without fluorescence | Toxicity, biodistribution, xenograft | [194] |
Flk-1:eGFP | Fluorescent vascular system | Toxicity, biodistribution, xenograft, angiogenesis, extravasation, half-life circulation, metastasis | [107,130] |
Fli-1:eGFP | [107,127,162] | ||
Gata1:DsRed | [107] | ||
Nacre/fli1:eGFP | [163] | ||
Casper fli | Without pigmentation (transparent) and fluorescent vascular system | [91] | |
Casper | Without pigmentation (transparent) | Toxicity, biodistribution, xenograft, metastasis | [91] |
ARE:eGFP | Fluorescence of reactive oxygen species (ROS) | Toxicity | [162] |
Cmlc2:eGFP | Fluorescence in the heart | Cardiotoxicity | [167] |
Mpo:GFP | Fluorescent neutrophils | Interaction, half-life circulation, immuno response | [167] |
Mpeg1:mcherry | Fluorescent macrophages | [127] | |
Hsp70:eGFP | Fluorescence of the protein HSP70 stress product | Toxicity | [195] |
5.1. Toxicity
Despite the ability of the nanoparticles to reduce the side effects of the associated drugs, adverse effects due to the nanoparticles themselves have been reported in some clinical studies, including immunotoxicity (allergy, hyper-sensitivity, and immunosuppression), acute toxicity (i.e., single-dose studies), subacute toxicity (i.e., repeated-dose studies or semi-chronic toxicity studies), carcinogenicity, reproductive toxicity, developmental toxicity, genotoxicity, hepatotoxicity or epigenotoxicity [134,135,136,137,138,139]. Nanoparticles may also activate innate immunity responses in the body and, as a consequence, they can mediate an uncontrolled delivery of pro-inflammatory mediators (anaphylatoxins) that could nullify the therapeutic effect of the nanocarrier and, even worse, promote tumor growth [140]. In the case of genetic nanomedicines, they typically contain cationic elements to improve their association with the anionic nucleic acids. These positively charged biomaterials have also been related to toxicity and off-target unspecific effects after transfection. Toxicity in preclinical studies relies mainly on simple and conventional tests (e.g., MTT assay), and, in some cases, systemic toxicity in vivo (e.g., serological and biochemical analysis of blood samples in mice). Therefore, it is clear that toxicity needs further attention before we can proceed to clinical studies.
As mentioned in Section 4, zebrafish is widely used for the evaluation of the adverse effects of drugs, and to determine the activity of antitumor compounds [97,98,99,100,101,102,103,104,105,106,107,108]. It could also be used to determine the preclinical toxicity of nanocarriers for gene delivery purposes. The most common and simple toxicity studies in wild type zebrafish relate to acute and chronic effects. Protocols for these studies have already been approved by the Organization for Economic Co-operation and Development (OECD). To determine zebrafish embryo toxicity, post fertilization embryos are placed in a static plate and exposed to the compound. The rate of morphological changes is one of the endpoints used to generate dose response curves [141,142]. The toxicity of several types of nanoparticles, mainly inorganic nanoparticles, has already been determined in zebrafish using this test [68,104,127,143,144]. One important parameter for toxicity evaluation is the hatching efficiency because nanoparticles can interact with hatching enzymes [145]. Zebrafish is also a versatile organism for genotoxicity studies [146,147,148,149], developmental and behavioral analysis [150,151,152,153], immunotoxicity [154,155], neurotoxicity [156,157], and reproductive toxicity studies [158]. For example, in experiments with transgenic lines, such as Tg(flk1:eGFP), Tg(cmlc2:eGFP), Hsp70:eGFP, ARE:eGFP, FLI-1, and Nacre/fli1:EGFP, it was possible to observe the chemical-induced toxicity of nanocomposites and metal oxide nanoparticles in real time [159,160,161,162,163].
Zebrafish is also an excellent model to provide novel insights on the interaction between the immune system and tumor cells [164,165]. Because in zebrafish, macrophages play an important role in angiogenesis, this model could also be used to develop functional assays related to the angiogenic process (Section 5.4). A transgenic zebrafish line, mpo:GFP, which expresses GFP under the neutrophil-specific myeloperoxidase promoter, has also been described and used to study neutrophil response [166], including the evaluation of oxidative stress and inflammatory responses in neutrophils following the administration of silica nanoparticles [167]. In addition, studies regarding cardiotoxicity are also of great importance, among them is worth mentioning the evaluation of effects occurring immediately after administration and their consequences [153].
5.2. Stability and Half-Life While in Circulation
Preclinical studies sometimes ignore the fact that the electrostatic stability of nanocarriers in vitro does not guarantee their stability in vivo. Moreover, in many cases, the nanocarrier and the gene vector are associated by electrostatic interactions. Upon contact with a biological media of high ionic strength, this system may aggregate, resulting in the displacement of the nucleic acids that could be prematurely released into the circulation before reaching the target cells. The presence of serum proteins (e.g., glycosaminoglycans) could have the same effect. Therefore, a thorough study, relevant in vivo models, of the stability and interactions of the nanocarrier under study could be necessary to ensure that the associated nucleic acids are not prematurely released into the circulation [168,169,170]. On the other hand, nanosystems should also be able to avoid recognition by macrophages, and a rapid clearance by the mononuclear phagocyte system (MPS), which would lead to their fast removal from circulation [136].
As stated in Section 2, one of the main advantages of zebrafish embryos and adults from the Casper line is that they are transparent, and therefore suitable for direct and real-time tracking of fluorescent nanoparticles into the fish circulation, using high-resolution confocal microscopy [91]. Importantly, a recent study shows a good correlation among pharmacokinetic data obtained in zebrafish, rat, and mice, and highlights the potential of zebrafish for this purpose [126]. Different studies carried out with model nanoparticles, FluoSpheres® and Quantum Dots®, highlight the influence of the exposure route (waterborne, injection and oral), and surface properties of the nanoparticles on their biodistribution and tumor uptake [35,171].
One model useful for tracking the circulation of nanoparticles is the transgenic line Fli1:eGFP [127]. This line has allowed for following the distribution and tumor accumulation of PEGylated nanoparticles. In the same study, the Tg(mpeg1:mCherry) line was selected to evaluate the interaction of these nanoparticles with macrophages, which led to the conclusion that PEG coating actually decreased the interaction of the nanoparticles with macrophages. Transgenic lines of macrophages, neutrophils, and endothelial cells expressing fluorescent markers (see Table 2) have also been used to watch the interaction between lipid nanoparticles and immune cells [87].
5.3. Extravasation, Penetration into the Tumor, and Interaction with the Target Cells
Nanocarriers should be able to exit the systemic circulation at the action site. Recently, it has been reported that current animal models fail to predict the accumulation of nanocarriers inside the tumor, which is actually about 0.7% of the injected dose [172,173]. Thus, animal models that would allow us to better study the ability of nanocarriers in this step are crucial to ensuring an effective therapeutic effect [174]. The complexity of the tumor extracellular matrix (ECM) may also restrict the extravasation of the nanocarriers. Additionally, even if the nanocarriers could cross the tumor vasculature, they might not be able to penetrate deep enough inside the tumor mass due to the high interstitial fluid pressure, and might accumulate instead in the peripheral areas, or in the surrounding healthy tissue [15,175]. Finally, the nanoparticles need to interact with the target cells. Typically, therapies are directed at tumor cells, but they can also be designed to target cells of the stroma or to infiltrate immune cells, cancer stem cells (CSCs), cancer-associated fibroblasts (CAFs), tumor-associated macrophages (TAMs), pericytes, endothelial cells, etc. [15,176].
To date, an extensive list of improved zebrafish cancer models has been reported, including models to study neuroblastoma, brain cancer, eye cancer, leukemia, melanoma, uveal melanoma, and liver cancer, among others [177]. More complex models to study the mechanisms of tumor cell dissemination and metastases formation have also been reported [178,179]. For example, the model Flk1:EGFP has been used to study the metastatic spread after injection of red fluorescent protein (RFP)-labeled Hela cells in the caudal artery [180]. Other results show how metastatic cell lines have improved abilities to migrate and proliferate compared to cells isolated from primary tumors [181]. The study of CSC has also been considered in zebrafish models [182,183]. Regarding the study of the tumor microenvironment (TME), Zhao et al. [184] showed that transforming growth factor beta (TGF-β) induced a pro-tumor neutrophil cytokine expression pattern in zebrafish, and concluded that essential mechanisms in the constitution of the TME are conserved in this model.
Regarding the particular evaluation of nanomedicines, several works cover the evaluation of their ability to accumulate in tumor cells after injection in zebrafish xenografts [125,127,185,186,187]. Zebrafish can therefore be considered as a dynamic model to study the transport and accumulation of nanoparticles.
5.4. Functional Assays
We believe that, when performing functional assays, zebrafish models are very useful for determining the efficacy of the therapy. Importantly, it is feasible to use xenografts of patient-derived tumor cells in zebrafish embryos, to perform patient-specific drug screens, and analyze critical aspects of the tumor, such as growth and proliferation [80], invasion and intravasation [180,188,189], formation of metastasis [82,190], angiogenesis [190,191], and immune cell response [107]. Hundreds of embryos can be injected in a single day, and it is possible to exploit the imaging capabilities of the zebrafish. Cell injections in fish can be performed in the duct of Cuvier, vein, and yolk sac, as well as pericardially, intracardiaally, and in the brain parenchyma, in order to obtain different read-outs. For example, since the yolk sac does not communicate with the vasculature directly, it would be a good model to study metastasis by either invasion or blood borne spreading [118]. Additionally, to study specific phenomena such as angiogenesis, there are useful transgenic lines, such as Tg(Flk1:EGFP) and Tg(Fli1:EGFP) with green vasculature, and Tg(Gata1:DsRed) with red fluorescent blood cells [107]. These models allow the study of the distribution and functionalities of nanoscale drug delivery systems [180]. As an example, one study used curcumine-loaded micelles to test the potential of zebrafish for developing novel anti-angiogenic and antitumoral therapies [187]. In a different work using silica nanoparticles, it was possible to observe inhibition of angiogenesis via vascular endothelial growth factor receptor 2 (VEGFR2)-mediated mitogen-activated protein kinase (MAPK) signaling pathway [192]. Other authors have claimed a reduction in the number of tumor cells transplanted into fish, upon delivery of anti-tumor nanomedicines [127,185,186]. Additionally, it would be possible to determine whether nanoparticles carrying the proposed therapy induce apoptosis: a fluorescent probe designed to characterize patterns of apoptosis in living zebrafish larvae has recently been described [193].
6. Conclusions
We have summarized here the main advances in the field of cancer nanomedicine, and the increasing interest in the nanotechnology field for the development of safe and efficient anticancer gene therapies, and highlighted the main limitations of this approach. We have described several models of zebrafish and discussed assays that, to date, have been applied mainly for other purposes, such as in cancer biology, toxicology, and drug screening studies, but that, in our opinion, hold an enormous potential for speeding up the translation of genetic nanomedicines for cancer treatment. We are confident that, in the next few years, great advances in the fight against cancer will be made thanks to this versatile animal model.
Acknowledgments
This work was supported by the Xunta de Galicia, Spain (Competitive Reference Groups, GRC2014/010), the Carlos III Health Institute/FEDER (PI15/00828), and the Spanish Ministry of Education, Culture and Sport (FPU15/06595).
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Swain S., Sahu P.K., Beg S., Babu S.M. Nanoparticles for Cancer Targeting: Current and Future Directions. Curr. Drug Deliv. 2016;13:1290–1302. doi: 10.2174/1567201813666160713121122. [DOI] [PubMed] [Google Scholar]
- 2.Nascimento T.L., Hillaireau H., Vergnaud J., Fattal E. Lipid-based nanosystems for CD44 targeting in cancer treatment: Recent significant advances, ongoing challenges and unmet needs. Nanomedicine. 2016;11:1865–1887. doi: 10.2217/nnm-2016-5000. [DOI] [PubMed] [Google Scholar]
- 3.Thotakura N., Dadarwal M., Kumar R., Singh B., Sharma G., Kumar P., Katare O.P., Raza K. Chitosan-palmitic acid based polymeric micelles as promising carrier for circumventing pharmacokinetic and drug delivery concerns of tamoxifen. Int. J. Biol. Macromol. 2017;102:1220–1225. doi: 10.1016/j.ijbiomac.2017.05.016. [DOI] [PubMed] [Google Scholar]
- 4.Tang M., Hu P., Zheng Q., Tirelli N., Yang X., Wang Z., Wang Y., Tang Q., He Y. Polymeric micelles with dual thermal and reactive oxygen species (ROS)-responsiveness for inflammatory cancer cell delivery. J. Nanobiotechnol. 2017;15:39. doi: 10.1186/s12951-017-0275-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Song W., Ma Z., Zhang Y., Yang C. Autophagy plays a dual role during intracellular siRNA delivery by lipoplex and polyplex nanoparticles. Acta Biomater. 2017;58:196–204. doi: 10.1016/j.actbio.2017.05.038. [DOI] [PubMed] [Google Scholar]
- 6.Sepúlveda-Crespo D., Jiménez J.L., Gómez R., De La Mata F.J., Majano P.L., Muñoz-Fernández M.Á., Gastaminza P. Polyanionic carbosilane dendrimers prevent hepatitis C virus infection in cell culture. Nanomed. Nanotechnol. Biol. Med. 2017;13:49–58. doi: 10.1016/j.nano.2016.08.018. [DOI] [PubMed] [Google Scholar]
- 7.Zhong Y., Jia T., Sun Z., Lu Y., Gao J., Zou H., Xie F., Xu H., Sun D., Yu Y., Zhang G. A dual brain-targeting curcumin-loaded polymersomes ameliorated cognitive dysfunction in intrahippocampal amyloid-β1–42-injected mice. Int. J. Nanomed. 2016;11:3765–3775. doi: 10.2147/IJN.S94622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Almhanna K., Wright D., Mercade T.M., Van Laethem J.-L., Gracian A.C., Guillen-Ponce C., Faris J., Lopez C.M., Hubner R.A., Bendell J., et al. A phase II study of antibody-drug conjugate, TAK-264 (MLN0264) in previously treated patients with advanced or metastatic pancreatic adenocarcinoma expressing guanylyl cyclase C. Investig. New Drugs. 2017;35:634–641. doi: 10.1007/s10637-017-0473-9. [DOI] [PubMed] [Google Scholar]
- 9.Yu F., Ao M., Zheng X., Li N., Xia J., Li Y., Li D., Hou Z., Qi Z., Chen X.D. PEG–lipid–PLGA hybrid nanoparticles loaded with berberine–phospholipid complex to facilitate the oral delivery efficiency. Drug Deliv. 2017;24:825–833. doi: 10.1080/10717544.2017.1321062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Raviña M., de la Fuente M., Correa J., Sousa-Herves A., Pinto J., Fernandez-Megia E., Riguera R., Sanchez A., Alonso M.J. Core−Shell Dendriplexes with Sterically Induced Stoichiometry for Gene Delivery. Macromolecules. 2010;43:6953–6961. doi: 10.1021/ma100785m. [DOI] [Google Scholar]
- 11.De la Fuente M., Seijo B., Alonso M.J. Design of novel polysaccharidic nanostructures for gene delivery. Nanotechnology. 2008;19:75105. doi: 10.1088/0957-4484/19/7/075105. [DOI] [PubMed] [Google Scholar]
- 12.De la Fuente M., Csaba N., Garcia-Fuentes M., Alonso M.J. Nanoparticles as protein and gene carriers to mucosal surfaces. Nanomedicine. 2008;3:845–857. doi: 10.2217/17435889.3.6.845. [DOI] [PubMed] [Google Scholar]
- 13.Del Pozo-Rodríguez A., Solinís M.Á., Rodríguez-Gascón A. Applications of lipid nanoparticles in gene therapy. Eur. J. Pharm. Biopharm. 2016;109:184–193. doi: 10.1016/j.ejpb.2016.10.016. [DOI] [PubMed] [Google Scholar]
- 14.Yin H., Kanasty R.L., Eltoukhy A.A., Vegas A.J., Dorkin J.R., Anderson D.G. Non-viral vectors for gene-based therapy. Nat. Rev. Genet. 2014;15:541–555. doi: 10.1038/nrg3763. [DOI] [PubMed] [Google Scholar]
- 15.Shi J., Kantoff P.W., Wooster R., Farokhzad O.C. Cancer nanomedicine: Progress, challenges and opportunities. Nat. Rev. Cancer. 2016;17:20–37. doi: 10.1038/nrc.2016.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Saif M.W.U.S. Food and Drug Administration approves paclitaxel protein-bound particles (Abraxane®) in combination with gemcitabine as first-line treatment of patients with metastatic pancreatic cancer. JOP. 2013;14:686–688. doi: 10.6092/1590-8577/2028. [DOI] [PubMed] [Google Scholar]
- 17.Wicki A., Witzigmann D., Balasubramanian V., Huwyler J. Nanomedicine in cancer therapy: Challenges, opportunities, and clinical applications. J. Control. Release. 2015;200:138–157. doi: 10.1016/j.jconrel.2014.12.030. [DOI] [PubMed] [Google Scholar]
- 18.Rodriguez M.A., Pytlik R., Kozak T., Chhanabhai M., Gascoyne R., Lu B., Deitcher S.R., Winter J.N. Vincristine sulfate liposomes injection (Marqibo) in heavily pretreated patients with refractory aggressive non-Hodgkin lymphoma: Report of the pivotal phase 2 study. Cancer. 2009;115:3475–3482. doi: 10.1002/cncr.24359. [DOI] [PubMed] [Google Scholar]
- 19.DaunoXome approved. AIDS Patient Care STDS. 1996;10:263. [PubMed] [Google Scholar]
- 20.European Medicines Agency—Science Medicines Health. [(accessed on 24 November 2017)]; Available online: http://www.ema.europa.eu/ema/
- 21.U.S. Food and Drug Administration Home Page. [(accessed on 24 November 2017)]; Available online: https://www.fda.gov/
- 22.Barenholz Y. Doxil®—The first FDA-approved nano-drug: Lessons learned. J. Control. Release. 2012;160:117–134. doi: 10.1016/j.jconrel.2012.03.020. [DOI] [PubMed] [Google Scholar]
- 23.Martínez-González R., Estelrich J., Busquets M. Liposomes Loaded with Hydrophobic Iron Oxide Nanoparticles: Suitable T2 Contrast Agents for MRI. Int. J. Mol. Sci. 2016;17:1209. doi: 10.3390/ijms17081209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Fan Y., Guo R., Shi X., Allen S., Cao Z., Baker J.R., Wang S.H. Modified Nanoemulsions with Iron Oxide for Magnetic Resonance Imaging. Nanomaterials. 2016;6:223. doi: 10.3390/nano6120223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Cui M., Dong Z., Cai H., Huang K., Liu Y., Fang Z., Li X., Luo Y. Folate-targeted polymeric micelles loaded with superparamagnetic iron oxide as a contrast agent for magnetic resonance imaging of a human tongue cancer cell line. Mol. Med. Rep. 2017 doi: 10.3892/mmr.2017.7565. [DOI] [PubMed] [Google Scholar]
- 26.Pratt E.C., Shaffer T.M., Grimm J. Nanoparticles and radiotracers: Advances toward radionanomedicine. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2016;8:872–890. doi: 10.1002/wnan.1402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Thakor A.S., Gambhir S.S. Nanooncology: The future of cancer diagnosis and therapy. CA. Cancer J. Clin. 2013;63:395–418. doi: 10.3322/caac.21199. [DOI] [PubMed] [Google Scholar]
- 28.Park S., Aalipour A., Vermesh O., Yu J.H., Gambhir S.S. Towards clinically translatable in vivo nanodiagnostics. Nat. Rev. Mater. 2017;2:17014. doi: 10.1038/natrevmats.2017.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sneider A., VanDyke D., Paliwal S., Rai P. Remotely Triggered Nano-Theranostics For Cancer Applications. Nanotheranostics. 2017;1:1–22. doi: 10.7150/ntno.17109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chen H., Zhang W., Zhu G., Xie J., Chen X. Rethinking cancer nanotheranostics. Nat. Rev. Mater. 2017;2:17024. doi: 10.1038/natrevmats.2017.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Baetke S.C., Lammers T., Kiessling F. Applications of nanoparticles for diagnosis and therapy of cancer. Br. J. Radiol. 2015;88 doi: 10.1259/bjr.20150207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Detappe A., Kunjachan S., Rottmann J., Robar J., Tsiamas P., Korideck H., Tillement O., Berbeco R. AGuIX nanoparticles as a promising platform for image-guided radiation therapy. Cancer Nanotechnol. 2015;6:4. doi: 10.1186/s12645-015-0012-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kotb S., Detappe A., Lux F., Appaix F., Barbier E.L., Tran V.L., Plissonneau M., Gehan H., Lefranc F., Rodriguez-Lafrasse C., et al. Gadolinium-based nanoparticles and radiation therapy for multiple brain melanoma metastases: Proof of concept before phase I trial. Theranostics. 2016;6:418–427. doi: 10.7150/thno.14018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Pahle J., Walther W. Vectors and strategies for nonviral cancer gene therapy. Expert Opin. Biol. Ther. 2015;16:443–461. doi: 10.1517/14712598.2016.1134480. [DOI] [PubMed] [Google Scholar]
- 35.Zhou Z., Liu X., Zhu D., Wang Y., Zhang Z., Zhou X., Qiu N., Chen X., Shen Y. Nonviral Cancer Gene Therapy: Delivery Cascade and Vector Nanoproperty Integration. Adv. Drug Deliv. Rev. 2017 doi: 10.1016/j.addr.2017.07.021. [DOI] [PubMed] [Google Scholar]
- 36.FDA Press Announcements—FDA Approval Brings First Gene Therapy to the United States. U.S. Food and Drug Administration; Silver Spring, MD, USA: 2017. [Google Scholar]
- 37.Novartis Receives First Ever FDA Approval for a CAR-T Cell Therapy, Kymriah(TM) (CTL019), for Children and Young Adults with B-cell ALL That Is Refractory or Has Relapsed at Least Twice. Novartis; Basel, Switzerland: 2017. [Google Scholar]
- 38.Slivac I., Guay D., Mangion M., Champeil J., Gaillet B. Non-viral nucleic acid delivery methods. Expert Opin. Biol. Ther. 2017;17:105–118. doi: 10.1080/14712598.2017.1248941. [DOI] [PubMed] [Google Scholar]
- 39.Bottai G., Truffi M., Corsi F., Santarpia L. Progress in nonviral gene therapy for breast cancer and what comes next? Expert Opin. Biol. Ther. 2017;17:595–611. doi: 10.1080/14712598.2017.1305351. [DOI] [PubMed] [Google Scholar]
- 40.Bayraktar R., Pichler M., Kanlikilicer P., Ivan C., Kahraman N., Aslan B., Oguztuzun S. MicroRNA 603 acts as a tumor suppressor and inhibits triple- negative breast cancer tumorigenesis by targeting elongation factor 2 kinase. Oncotarget. 2017;8:11641–11658. doi: 10.18632/oncotarget.14264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bhavsar D., Subramanian K., Sethuraman S., Krishnan U.M. “Nano–in–nano” hybrid liposomes increase target specificity and gene silencing efficiency in breast cancer induced SCID mice. Eur. J. Pharm. Biopharm. 2017;119:96–106. doi: 10.1016/j.ejpb.2017.06.006. [DOI] [PubMed] [Google Scholar]
- 42.Chen J., Sun X., Shao R., Xu Y., Gao J., Wenquan L. VEGF siRNA delivered by polycation liposome- encapsulated calcium phosphate nanoparticles for tumor angiogenesis inhibition in breast cancer. Int. J. Nanomed. 2017;12:6075–6088. doi: 10.2147/IJN.S142739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Xu F., Liao J.Z., Xiang G.Y., Zhao P.X., Ye F., Zhao Q., He X.X. MiR-101 and doxorubicin codelivered by liposomes suppressing malignant properties of hepatocellular carcinoma. Cancer Med. 2017;6:651–661. doi: 10.1002/cam4.1016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Saavedra-Alonso S., Zapata-Benavides P., Chavez-Escamilla A.K., Manilla-Muñoz E., Zamora-Avila D.E., Franco-Molina M.A., Rodriguez-Padilla C. WT1 shRNA delivery using transferrin-conjugated PEG liposomes in an in vivo model of melanoma. Exp. Ther. Med. 2016;12:3778–3784. doi: 10.3892/etm.2016.3851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Yu T., Xu B., He L., Xia S., Chen Y., Zeng J., Liu Y., Li S., Tan X., Ren K., Yao S., Song X. Pigment epithelial-derived factor gene loaded novel COOH-PEG-PLGA-COOHnanoparticles promoted tumor suppression by systemic administration. Int. J. Nanomed. 2016;11:743–759. doi: 10.2147/IJN.S97223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Luo L., Du T., Zhang J., Zhao W., Cheng H., Yang Y., Wu Y., Wang C., Men K., Gou M. Efficient inhibition of ovarian cancer by degradable nanoparticle-delivered survivin T34A gene. Int. J. Nanomed. 2016;11:501–513. doi: 10.2147/IJN.S93496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Cocco E., Deng Y., Shapiro E.M., Bortolomai I., Lopez S., Lin K., Bellone S., Cui J., Menderes G., Black J.D., et al. Dual-targeting nanoparticles for in vivo delivery of suicide genes to chemotherapy-resistant ovarian cancer cells. Mol. Cancer Ther. 2017;16:323–333. doi: 10.1158/1535-7163.MCT-16-0501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Liu X., Gao X., Zheng S., Wang B., Li Y., Zhao C., Muftuoglu Y., Chen S., Li Y., Yao H., Sun H., Mao Q., You C., Guo G., Wei Y. Modified nanoparticle mediated IL-12 immunogene therapy for colon cancer. Nanomedicine. 2017 doi: 10.1016/j.nano.2017.04.006. [DOI] [PubMed] [Google Scholar]
- 49.Li L., Li X., Wu Y., Song L., Yang X., He T., Wang N., Yang S., Zeng Y., Wu Q., et al. Multifunctional Nucleus-targeting Nanoparticles with Ultra-high Gene Transfection Efficiency for In Vivo Gene Therapy. Theranostics. 2017;7:1633–1649. doi: 10.7150/thno.17588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Lee J.B., Zhang K., Tam Y.Y.C., Quick J., Tam Y.K., Lin P.J., Chen S., Liu Y., Nair J.K., Zlatev I., et al. A Glu-urea-Lys Ligand-conjugated Lipid Nanoparticle/siRNA System Inhibits Androgen Receptor Expression In Vivo. Mol. Ther. Nucleic Acids. 2016;5:e348. doi: 10.1038/mtna.2016.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.D’Abundo L., Callegari E., Bresin A., Chillemi A., Elamin B.K., Guerriero P., Huang X., Saccenti E., Hussein E.M.A.A., Casciano F., et al. Anti-leukemic activity of microRNA-26a in a chronic lymphocytic leukemia mouse model. Oncogene. 2017:1–10. doi: 10.1038/onc.2017.269. [DOI] [PubMed] [Google Scholar]
- 52.De la Fuente M., Jones M.C., Santander-Ortega M.J., Mirenska A., Marimuthu P., Uchegbu I., Schätzlein A. A nano-enabled cancer-specific ITCH RNAi chemotherapy booster for pancreatic cancer. Nanomed. Nanotechnol. Biol. Med. 2015;11:369–377. doi: 10.1016/j.nano.2014.09.010. [DOI] [PubMed] [Google Scholar]
- 53.Ramamoorth M., Narvekar A. Non viral vectors in gene therapy—An overview. J. Clin. Diagnostic Res. 2015;9:GE01–GE06. doi: 10.7860/JCDR/2015/10443.5394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Home—ClinicalTrials.gov. [(accessed on 24 November 2017)]; Available online: https://clinicaltrials.gov/
- 55.Shanker M., Jin J., Branch C.D., Miyamoto S., Grimm E.A., Roth J.A., Ramesh R. Tumor suppressor gene-based nanotherapy: From test tube to the clinic. J. Drug Deliv. 2011;2011:465845. doi: 10.1155/2011/465845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Dowdy S.F. Overcoming cellular barriers for RNA therapeutics. Nat. Biotechnol. 2017;35:222–229. doi: 10.1038/nbt.3802. [DOI] [PubMed] [Google Scholar]
- 57.McErlean E.M., McCrudden C.M., McCarthy H.O. Delivery of nucleic acids for cancer gene therapy: Overcoming extra- and intra- cellular barriers. Ther. Deliv. 2016;7:619–637. doi: 10.4155/tde-2016-0049. [DOI] [PubMed] [Google Scholar]
- 58.Wang H., Jiang Y., Peng H., Chen Y., Zhu P., Huang Y. Recent progress in microRNA delivery for cancer therapy by non-viral synthetic vectors. Adv. Drug Deliv. Rev. 2015;81:142–160. doi: 10.1016/j.addr.2014.10.031. [DOI] [PubMed] [Google Scholar]
- 59.Santander-Ortega M.J., de la Fuente M., Lozano M.V., Bekheet M.E., Progatzky F., Elouzi A., Uchegbu I.F., Schätzlein A.G. Hydration forces as a tool for the optimization of core–shell nanoparticle vectors for cancer gene therapy. Soft Matter. 2012;8:12080. doi: 10.1039/c2sm26389k. [DOI] [Google Scholar]
- 60.Santander-Ortega M.J., de la Fuente M., Lozano M.V., Tsui M.L., Bolton K., Uchegbu I.F., Schätzlein A.G. Optimisation of synthetic vector systems for cancer gene therapy—The role of the excess of cationic dendrimer under physiological conditions. Curr. Top. Med. Chem. 2014;14:1172–1181. doi: 10.2174/1568026614666140329231718. [DOI] [PubMed] [Google Scholar]
- 61.De la Fuente M., Raviña M., Sousa-Herves A., Correa J., Riguera R., Fernandez-Megia E., Sánchez A., Alonso M.J. Exploring the efficiency of gallic acid-based dendrimers and their block copolymers with PEG as gene carriers. Nanomedicine. 2012;7:1667–1681. doi: 10.2217/nnm.12.51. [DOI] [PubMed] [Google Scholar]
- 62.Lieschke G.J., Currie P.D. Animal models of human disease: Zebrafish swim into view. Nat. Rev. Genet. 2007;8:353–367. doi: 10.1038/nrg2091. [DOI] [PubMed] [Google Scholar]
- 63.Santoriello C., Zon L.I. Science in medicine Hooked! Modeling human disease in zebrafish. J. Clin. Investig. 2012;122:2337–2343. doi: 10.1172/JCI60434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Ablain J., Zon L.I. Of fish and men: Using zebrafish to fight human diseases. Trends Cell Biol. 2013;23:584–586. doi: 10.1016/j.tcb.2013.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Giannaccini M., Cuschieri A., Dente L., Raffa V. Non-mammalian vertebrate embryos as models in nanomedicine. Nanomed. Nanotechnol. Biol. Med. 2014;10:703–719. doi: 10.1016/j.nano.2013.09.010. [DOI] [PubMed] [Google Scholar]
- 66.Howe K., Clark M., Torroja C., Torrance J., Berthelot C., Muffato M., Collins J.E., Humphray S., McLaren K., Matthews L., et al. The zebrafish reference genome sequence and its relationship to the human genome. Nature. 2013;496:498–503. doi: 10.1038/nature12111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Phillips J.B., Westerfield M. Zebrafish models in translational research: Tipping the scales toward advancements in human health. Dis. Model. Mech. 2014;7:739–743. doi: 10.1242/dmm.015545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lee K.Y., Jang G.H., Byun C.H., Jeun M., Searson P.C., Lee K.H. Zebrafish models for functional and toxicological screening of nanoscale drug delivery systems: Promoting preclinical applications. Biosci. Rep. 2017;37:BSR20170199. doi: 10.1042/BSR20170199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kimmel C.B., Ballard W.W., Kimmel S.R., Ullmann B., Schilling T.F. Stages of embryonic development of the zebrafish. Dev. Dyn. 1995;203:253–310. doi: 10.1002/aja.1002030302. [DOI] [PubMed] [Google Scholar]
- 70.Cui C., Benard E.L., Kanwal Z., Stockhammer O.W., van der Vaart M., Zakrzewska A., Spaink H.P., Meijer A.H. Infectious Disease Modeling and Innate Immune Function in Zebrafish Embryos. 3rd ed. Volume 105. Elsevier Inc.; Amsterdam, The Netherlands: 2011. [DOI] [PubMed] [Google Scholar]
- 71.Lam S.H., Chua H.L., Gong Z., Lam T.J., Sin Y.M. Development and maturation of the immune system in zebrafish, Danio rerio: A gene expression profiling, in situ hybridization and immunological study. Dev. Comp. Immunol. 2004;28:9–28. doi: 10.1016/S0145-305X(03)00103-4. [DOI] [PubMed] [Google Scholar]
- 72.Li F., Zhang S., Wang Z., Li H. Genes of the adaptive immune system are expressed early in zebrafish larval development following lipopolysaccharide stimulation. Chin. J. Oceanol. Limnol. 2011;29:326–333. doi: 10.1007/s00343-011-0077-8. [DOI] [Google Scholar]
- 73.Bill B.R., Petzold A.M., Clark K.J., Schimmenti L.A., Ekker S.C. A Primer for Morpholino Use in Zebrafish. Zebrafish. 2009;6:69–77. doi: 10.1089/zeb.2008.0555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Bedell V.M., Westcot S.E., Ekker S.C. Lessons from morpholino-based screening in zebrafish. Brief. Funct. Genom. 2011;10:181–188. doi: 10.1093/bfgp/elr021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Timme-Laragy A.R., Karchner S.I., Hahn M.E. Developmental Toxicology. Methods Mol Biol. 2012;889:51–71. doi: 10.1007/978-1-61779-867-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Irion U., Krauss J., Nusslein-Volhard C. Precise and efficient genome editing in zebrafish using the CRISPR/Cas9 system. Development. 2014;141:4827–4830. doi: 10.1242/dev.115584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Shah A.N., Davey C.F., Whitebirch A.C., Miller A.C., Moens C.B. Rapid Reverse Genetic Screening Using CRISPR in Zebrafish. Nat. Methods. 2015;12:535–540. doi: 10.1038/nmeth.3360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Li M., Zhao L., Page-McCaw P.S., Chen W. Zebrafish Genome Engineering Using the CRISPR–Cas9 System. Trends Genet. 2016;32:815–827. doi: 10.1016/j.tig.2016.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Albadri S., Del Bene F., Revenu C. Genome editing using CRISPR/Cas9-based knock-in approaches in zebrafish. Methods. 2017;121–122:77–85. doi: 10.1016/j.ymeth.2017.03.005. [DOI] [PubMed] [Google Scholar]
- 80.Haldi M., Ton C., Seng W.L., McGrath P. Human melanoma cells transplanted into zebrafish proliferate, migrate, produce melanin, form masses and stimulate angiogenesis in zebrafish. Angiogenesis. 2006;9:139–151. doi: 10.1007/s10456-006-9040-2. [DOI] [PubMed] [Google Scholar]
- 81.Taylor A.M., Zon L.I. Zebrafish tumor assays: The state of transplantation. Zebrafish. 2009;6:339–346. doi: 10.1089/zeb.2009.0607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Drabsch Y., Snaar-Jagalska B.E., Ten Dijke P. Fish tales: The use of zebrafish xenograft human cancer cell models. Histol. Histopathol. 2017;32:673–686. doi: 10.14670/HH-11-853. [DOI] [PubMed] [Google Scholar]
- 83.Idilli A., Precazzini F., Mione M., Anelli V. Zebrafish in Translational Cancer Research: Insight into Leukemia, Melanoma, Glioma and Endocrine Tumor Biology. Genes. 2017;8:236. doi: 10.3390/genes8090236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wyatt R.A., Trieu N.P.V., Crawford B.D. Zebrafish Xenograft: An Evolutionary Experiment in Tumour Biology. Genes. 2017;8:220. doi: 10.3390/genes8090220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Roel M., Rubiolo J.A., Botana L.M., Guerra-Varela J., Cabezas-Sainz P., Sanchez L., Silva S.B.L., Thomas O.P., Silva S.B.L., et al. Marine guanidine alkaloids crambescidins inhibit tumor growth and activate intrinsic apoptotic signaling inducing tumor regression in a colorectal carcinoma zebrafish xenograft model. Oncotarget. 2016;7:83071–83087. doi: 10.18632/oncotarget.13068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Tobin D.M., May R.C., Wheeler R.T. Zebrafish: A see-through host and a fluorescent toolbox to probe host-pathogen interaction. PLoS Pathog. 2012;8 doi: 10.1371/journal.ppat.1002349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Fenaroli F., Westmoreland D., Benjaminsen J., Kolstad T., Skjeldal F.M., Meijer A.H., Van Der Vaart M., Ulanova L., Roos N. Nanoparticles as Drug Delivery System against Tuberculosis in Zebrafish Embryos: Direct Visualization and treatment. ACS Nano. 2014;8:7014–7026. doi: 10.1021/nn5019126. [DOI] [PubMed] [Google Scholar]
- 88.Teijeiro-Valiño C., Yebra-Pimentel E., Guerra-Varela J., Csaba N., Alonso M.J., Sánchez L. Assessment of the permeability and toxicity of polymeric nanocapsules using the zebrafish model. Nanomedicine. 2017;12:2069–2082. doi: 10.2217/nnm-2017-0078. [DOI] [PubMed] [Google Scholar]
- 89.Liu R., Lin S., Rallo R., Zhao Y., Damoiseaux R., Xia T., Lin S., Nel A., Cohen Y. Automated phenotype recognition for zebrafish embryo based in vivo high throughput toxicity screening of engineered nano-materials. PLoS ONE. 2012;7 doi: 10.1371/journal.pone.0035014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lin S., Lin S., Zhao Y., Nel A.E. Zebrafish: An in vivo model for nano EHS studies. Small. 2013;9:1608–1618. doi: 10.1002/smll.201202115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.White R.M., Sessa A., Burke C., Bowman T., LeBlanc J., Ceol C., Bourque C., Dovey M., Goessling W., Burns C.E., et al. Transparent Adult Zebrafish as a Tool for In Vivo Transplantation Analysis. Cell Stem Cell. 2008;2:183–189. doi: 10.1016/j.stem.2007.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.White R., Rose K., Zon L. Zebrafish cancer: The state of the art and the path forward. Nat. Rev. Cancer. 2013;13:624–636. doi: 10.1038/nrc3589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Dang M., Henderson R.E., Garraway L.A., Zon L.I. Long-term drug administration in the adult zebrafish using oral gavage for cancer preclinical studies. Dis. Model. Mech. 2016;9:811–820. doi: 10.1242/dmm.024166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Tang Q., Moore J.C., Ignatius M.S., Tenente I.M., Hayes M.N., Garcia E.G., Torres Yordán N., Bourque C., He S., Blackburn J.S., et al. Imaging tumour cell heterogeneity following cell transplantation into optically clear immune-deficient zebrafish. Nat. Commun. 2016;7:10358. doi: 10.1038/ncomms10358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.EFSA Opinion of the Scientific Panel on Animal Health and Welfare on a request from the Commission related to the aspects of the biology and welfare of animals used for experimental and other scientific purposes (EFSA-Q-2004-105) EFSA J. 2005;292:1–46. [Google Scholar]
- 96.Russell W.M., Burch R.L. The Principles of Humane Experimental Technique. Methuen Publishing; London, UK: 1959. [Google Scholar]
- 97.Stern H.M., Zon L.I. Cancer genetics and drug discovery in the zebrafish. Nat. Rev. Cancer. 2003;3:533–539. doi: 10.1038/nrc1126. [DOI] [PubMed] [Google Scholar]
- 98.Goessling W., North T.E., Zon L.I. New waves of discovery: Modeling cancer in zebrafish. J. Clin. Oncol. 2007;25:2473–2479. doi: 10.1200/JCO.2006.08.9821. [DOI] [PubMed] [Google Scholar]
- 99.MacRae C.A., Peterson R.T. Zebrafish as tools for drug discovery. Nat. Rev. Drug Discov. 2015;14:721–731. doi: 10.1038/nrd4627. [DOI] [PubMed] [Google Scholar]
- 100.Deveau A.P., Bentley V.L., Berman J.N. Using zebrafish models of leukemia to streamline drug screening and discovery. Exp. Hematol. 2017;45:1–9. doi: 10.1016/j.exphem.2016.09.012. [DOI] [PubMed] [Google Scholar]
- 101.Van Rooijen E., Fazio M., Zon L.I. From fish bowl to bedside: The power of zebrafish to unravel melanoma pathogenesis and discover new therapeutics. Pigment Cell Melanoma Res. 2017;30:402–412. doi: 10.1111/pcmr.12592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Zhao S., Huang J., Ye J. A fresh look at zebrafish from the perspective of cancer research. J. Exp. Clin. Cancer Res. 2015;34:80. doi: 10.1186/s13046-015-0196-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Lenis-Rojas O.A., Fernandes A.R., Roma-Rodrigues C., Baptista P.V., Marques F., Pérez-Fernández D., Guerra-Varela J., Sánchez L., Vázquez-García D., Torres M.L., et al. Heteroleptic mononuclear compounds of ruthenium(ii): synthesis, structural analyses, in vitro antitumor activity and in vivo toxicity on zebrafish embryos. Dalton Trans. 2016;45:19127–19140. doi: 10.1039/C6DT03591D. [DOI] [PubMed] [Google Scholar]
- 104.Lenis-Rojas O.A., Roma-Rodrigues C., Fernandes A.R., Marques F., Pérez-Fernández D., Guerra-Varela J., Sánchez L., Vázquez-García D., López-Torres M., Fernández A., et al. Dinuclear RuII(bipy)2 Derivatives: Structural, Biological, and in Vivo Zebrafish Toxicity Evaluation. Inorg. Chem. 2017;56:7127–7144. doi: 10.1021/acs.inorgchem.7b00790. [DOI] [PubMed] [Google Scholar]
- 105.Penas C., Sánchez M.I., Guerra-Varela J., Sanchez L., Vázquez M.E., Mascareñas J.L. Light-Controlled Cellular Internalization and Cytotoxicity of Nucleic Acid-Binding Agents: Studies in Vitro and in Zebrafish Embryos. ChemBioChem. 2016;17:37–41. doi: 10.1002/cbic.201500455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Blackburn J.S., Langenau D.M. Zebrafish as a model to assess cancer heterogeneity, progression and relapse. Dis. Model. Mech. 2014;7:755–762. doi: 10.1242/dmm.015842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Tat J., Liu M., Wen X.Y. Zebrafish cancer and metastasis models for in vivo drug discovery. Drug Discov. Today Technol. 2013;10:e83–e89. doi: 10.1016/j.ddtec.2012.04.006. [DOI] [PubMed] [Google Scholar]
- 108.Veinotte C.J., Dellaire G., Berman J.N. Hooking the big one: The potential of zebrafish xenotransplantation to reform cancer drug screening in the genomic era. Dis. Model Mech. 2014;7:745–754. doi: 10.1242/dmm.015784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Berghmans S., Butler P., Goldsmith P., Waldron G., Gardner I., Golder Z., Richards F.M., Kimber G., Roach A., Alderton W., et al. Zebrafish based assays for the assessment of cardiac, visual and gut function—potential safety screens for early drug discovery. J. Pharmacol. Toxicol. Methods. 2008;58:59–68. doi: 10.1016/j.vascn.2008.05.130. [DOI] [PubMed] [Google Scholar]
- 110.Yang L., Kemadjou J.R., Zinsmeister C., Bauer M., Legradi J., Müller F., Pankratz M., Jäkel J., Strähle U. Transcriptional profiling reveals barcode-like toxicogenomic responses in the zebrafish embryo. Genome Biol. 2007;8:R227. doi: 10.1186/gb-2007-8-10-r227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Simmons S.O., Fan C.Y., Ramabhadran R. Cellular stress response pathway system as a sentinel ensemble in toxicological screening. Toxicol. Sci. 2009;111:202–225. doi: 10.1093/toxsci/kfp140. [DOI] [PubMed] [Google Scholar]
- 112.Barbazuk W.B., Korf I., Kadavi C., Heyen J., Tate S., Wun E., Bedell J.A., McPherson J.D., Johnson S.L. The synthenic relationship of the zebrafish and human genomes. Genome Res. 2000;10:1351–1358. doi: 10.1101/gr.144700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Huiting L.N., Laroche F., Feng H. The Zebrafish as a Tool to Cancer Drug Discovery. Austin J. Pharmacol. Ther. 2015;3:1069. [PMC free article] [PubMed] [Google Scholar]
- 114.Lee L.M.J., Seftor E.A., Bonde G., Cornell R.A., Hendrix M.J.C. The fate of human malignant melanoma cells transplanted into zebrafish embryos: Assessment of migration and cell division in the absence of tumor formation. Dev. Dyn. 2005;233:1560–1570. doi: 10.1002/dvdy.20471. [DOI] [PubMed] [Google Scholar]
- 115.Marques I.J., Weiss F.U., Vlecken D.H., Nitsche C., Bakkers J., Lagendijk A.K., Partecke L.I., Heidecke C.-D., Lerch M.M., Bagowski C.P. Metastatic behaviour of primary human tumours in a zebrafish xenotransplantation model. BMC Cancer. 2009;9:128. doi: 10.1186/1471-2407-9-128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Bansal N., Davis S., Tereshchenko I., Budak-alpdogan T., Zhong H., Stein M.N., Kim I.Y., Dipaola R.S., Bertino J.R., Sabaawy H.E. Enrichment of human prostate cancer cells with tumor initiating properties in mouse and zebrafish xenografts by differential adhesion. Prostate. 2014;74:187–200. doi: 10.1002/pros.22740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Zhang B., Shimada Y., Kuroyanagi J., Umemoto N., Nishimura Y., Tanaka T. Quantitative phenotyping-based in vivo chemical screening in a zebrafish model of leukemia stem cell xenotransplantation. PLoS ONE. 2014;9:1–9. doi: 10.1371/journal.pone.0085439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Brown H.K., Schiavone K., Tazzyman S., Heymann D., Chico T.J.A. Zebrafish xenograft models of cancer and metastasis for drug discovery. Expert Opin. Drug Discov. 2017;12:379–389. doi: 10.1080/17460441.2017.1297416. [DOI] [PubMed] [Google Scholar]
- 119.Mort R.L., Jackson I.J., Patton E.E. The melanocyte lineage in development and disease. Development. 2015;142:1387. doi: 10.1242/dev.123729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Xie X., Ross J.L., Cowell J.K., Teng Y. Future Medicinal Chemistry. Future Med. Chem. 2015;7:1395–1405. doi: 10.4155/fmc.15.73. [DOI] [PubMed] [Google Scholar]
- 121.Kim K.-T., Tanguay R.L. Integrating zebrafish toxicology and nanoscience for safer product development. Green Chem. 2013;15:872. doi: 10.1039/c3gc36806h. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Harper B., Thomas D., Chikkagoudar S., Baker N., Tang K., Heredia-Langner A., Lins R., Harper S. Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity. J. Nanoparticle Res. 2015;17:1–12. doi: 10.1007/s11051-015-3051-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Jeong J., Cho H.J., Choi M., Lee W.S., Chung B.H., Lee J.S. In vivo toxicity assessment of angiogenesis and the live distribution of nano-graphene oxide and its PEGylated derivatives using the developing zebrafish embryo. Carbon N. Y. 2015;93:431–440. doi: 10.1016/j.carbon.2015.05.024. [DOI] [Google Scholar]
- 124.Yang T., Martin P., Fogarty B., Brown A., Schurman K., Phipps R., Yin V.P., Lockman P., Bai S. Exosome Delivered Anticancer Drugs Across the Blood-Brain Barrier for Brain Cancer Therapy in Danio Rerio. Pharm. Res. 2015;32:2003–2014. doi: 10.1007/s11095-014-1593-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Li Y., Miao X., Chen T., Yi X., Wang R., Zhao H., Lee S.M.Y., Wang X., Zheng Y. Zebrafish as a visual and dynamic model to study the transport of nanosized drug delivery systems across the biological barriers. Coll. Surf. B Biointerfaces. 2017;156:227–235. doi: 10.1016/j.colsurfb.2017.05.022. [DOI] [PubMed] [Google Scholar]
- 126.Sieber S., Grossen P., Detampel P., Siegfried S., Witzigmann D., Huwyler J. Zebrafish as an early stage screening tool to study the systemic circulation of nanoparticulate drug delivery systems in vivo. J. Control. Release. 2017;264:180–191. doi: 10.1016/j.jconrel.2017.08.023. [DOI] [PubMed] [Google Scholar]
- 127.Evensen L., Johansen P.L., Koster G., Zhu K., Herfindal L., Speth M., Fenaroli F., Hildahl J., Bagherifam S., Tulotta C., Prasmickaite L., Mælandsmo G.M., Snaar-Jagalska E., Griffiths G. Zebrafish as a model system for characterization of nanoparticles against cancer. Nanoscale. 2016;8:862–877. doi: 10.1039/C5NR07289A. [DOI] [PubMed] [Google Scholar]
- 128.Wehmas L.C., Tanguay R.L., Punnoose A., Greenwood J.A. Developing a Novel Embryo–Larval Zebrafish Xenograft Assay to Prioritize Human Glioblastoma Therapeutics. Zebrafish. 2016;13:317–329. doi: 10.1089/zeb.2015.1170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Yang J., Shimada Y., Olsthoorn R.C.L., Snaar-Jagalska B.E., Spaink H.P., Kros A. Application of Coiled Coil Peptides in Liposomal Anticancer Drug Delivery Using a Zebrafish Xenograft Model. ACS Nano. 2016;10:7428–7435. doi: 10.1021/acsnano.6b01410. [DOI] [PubMed] [Google Scholar]
- 130.Xu B., Jin Q., Zeng J., Yu T., Chen Y., Li S., Gong D., He L., Tan X., Yang L., He G., Wu J., Song X. Combined Tumor- and Neovascular-“Dual Targeting” Gene/Chemo-Therapy Suppresses Tumor Growth and Angiogenesis. ACS Appl. Mater. Interfaces. 2016;8:25753–25769. doi: 10.1021/acsami.6b08603. [DOI] [PubMed] [Google Scholar]
- 131.Aldrian G., Vaissière A., Konate K., Seisel Q., Vivès E., Fernandez F., Viguier V., Genevois C., Couillaud F., Démèné H., et al. PEGylation rate influences peptide-based nanoparticles mediated siRNA delivery in vitro and in vivo. J. Control. Release. 2017;256:79–91. doi: 10.1016/j.jconrel.2017.04.012. [DOI] [PubMed] [Google Scholar]
- 132.Cordeiro M., Carvalho L., Silva J., Saúde L., Fernandes A., Baptista P. Gold Nanobeacons for Tracking Gene Silencing in Zebrafish. Nanomaterials. 2017;7:10. doi: 10.3390/nano7010010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Zou D., Wang W., Lei D., Yin Y., Ren P., Chen J., Yin T., Wang B., Wang G., Wang Y. Penetration of blood-brain barrier and antitumor activity and nerve repair in glioma by doxorubicin-loaded monosialoganglioside micelles system. Int. J. Nanomed. 2017;12:4879–4889. doi: 10.2147/IJN.S138257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Collins A.R., Annangi B., Rubio L., Marcos R., Dorn M., Merker C., Estrela-Lopis I., Cimpan M.R., Ibrahim M., Cimpan E., et al. High throughput toxicity screening and intracellular detection of nanomaterials. Wiley Interdiscip. Rev. Nanomed. Nanobiotechnol. 2017;9 doi: 10.1002/wnan.1413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Brand W., Noorlander C.W., Giannakou C., Park M.V.D.Z., Vandebriel R.J., Bosselaers I.E.M. Nanomedicinal products: A survey on specific toxicity and side effects. Int. J. Nanomed. 2017;12:6107–6129. doi: 10.2147/IJN.S139687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Giannakou C., Park M.V.D.Z., De Jong W.H., Van Loveren H., Vandebriel R.J., Geertsma R.E. A comparison of immunotoxic effects of nanomedicinal products with regulatory immunotoxicity testing requirements. Int. J. Nanomed. 2016;11:2935–2952. doi: 10.2147/IJN.S102385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Omidi Y., Hollins A.J., Drayton R.M., Akhtar S. Polypropylenimine dendrimer-induced gene expression changes: The effect of complexation with DNA, dendrimer generation and cell type. J. Drug Target. 2005;13:431–443. doi: 10.1080/10611860500418881. [DOI] [PubMed] [Google Scholar]
- 138.Poma A., Di Giorgio M.L. Toxicogenomics to improve comprehension of the mechanisms underlying responses of in vitro and in vivo systems to nanomaterials: A review. Curr. Genom. 2008;9:571–585. doi: 10.2174/138920208786847962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Shah V., Taratula O., Garbuzenko O.B., Patil M.L., Savla R., Zhang M., Minko T. Genotoxicity of different nanocarriers: Possible modifications for the delivery of nucleic acids. Curr. Drug Discov. Technol. 2013;10:8–15. doi: 10.2174/157016313804998870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Anchordoquy T.J., Barenholz Y., Boraschi D., Chorny M., Decuzzi P., Dobrovolskaia M.A., Farhangrazi Z.S., Farrell D., Gabizon A., Ghandehari H., et al. Mechanisms and Barriers in Cancer Nanomedicine: Addressing Challenges, Looking for Solutions. ACS Nano. 2017;11:12–18. doi: 10.1021/acsnano.6b08244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Guideline T.T., Guideline O. OECD Guidelines for the Testing of Chemicals. Organisation for Economic Co-operation and Development; Paris, France: 2004. pp. 1–22. Oecd/Ocde 220. [DOI] [Google Scholar]
- 142.Organisation for Economic Co-operation and Development (OECD) Test No. 236: Fish Embryo Acute Toxicity (FET) Test. OECD; Paris, France: 2013. pp. 1–22. OECD Guidelines for the Testing of Chemicals, Section 2. [DOI] [Google Scholar]
- 143.Fent K., Weisbrod C.J., Wirth-Heller A., Pieles U. Assessment of uptake and toxicity of fluorescent silica nanoparticles in zebrafish (Danio rerio) early life stages. Aquat. Toxicol. 2010;100:218–228. doi: 10.1016/j.aquatox.2010.02.019. [DOI] [PubMed] [Google Scholar]
- 144.Garcia G.R., Noyes P.D., Tanguay R.L. Advancements in zebrafish applications for 21st century toxicology. Pharmacol. Ther. 2016;161:11–21. doi: 10.1016/j.pharmthera.2016.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Ong K.J., Zhao X., Thistle M.E., Maccormack T.J., Clark R.J., Ma G., Martinez-Rubi Y., Simard B., Loo J.S.C., Veinot J.G.C., Goss G.G. Mechanistic insights into the effect of nanoparticles on zebrafish hatch. Nanotoxicology. 2014;8:295–304. doi: 10.3109/17435390.2013.778345. [DOI] [PubMed] [Google Scholar]
- 146.Sukardi H., Ung C.Y., Gong Z., Lam S.H. Incorporating zebrafish omics into chemical biology and toxicology. Zebrafish. 2010;7:41–52. doi: 10.1089/zeb.2009.0636. [DOI] [PubMed] [Google Scholar]
- 147.Hussainzada N., Lewis J.A., Baer C.E., Ippolito D.L., Jackson D.A., Stallings J.D. Whole adult organism transcriptional profiling of acute metal exposures in male zebrafish. BMC Pharmacol. Toxicol. 2014;15:15. doi: 10.1186/2050-6511-15-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Geffroy B., Ladhar C., Cambier S., Treguer-Delapierre M., Brèthes D., Bourdineaud J.-P. Impact of dietary gold nanoparticles in zebrafish at very low contamination pressure: The role of size, concentration and exposure time. Nanotoxicology. 2012;6:144–160. doi: 10.3109/17435390.2011.562328. [DOI] [PubMed] [Google Scholar]
- 149.Segura-Aguilar J., Kostrzewa R.M. Neurotoxins and neurotoxicity mechanisms. An overview. Neurotox. Res. 2006;10:263–287. doi: 10.1007/BF03033362. [DOI] [PubMed] [Google Scholar]
- 150.MacPhail R.C., Hunter D.L., Irons T.D., Padilla S. Zebrafish. John Wiley & Sons, Inc.; Hoboken, NJ, USA: 2011. Locomotion and Behavioral Toxicity in Larval Zebrafish: Background, Methods, and Data; pp. 151–164. [Google Scholar]
- 151.Truong L., Saili K.S., Miller J.M., Hutchison J.E., Tanguay R.L. Persistent adult zebrafish behavioral deficits results from acute embryonic exposure to gold nanoparticles. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2012;155:269–274. doi: 10.1016/j.cbpc.2011.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Usenko C.Y., Harper S.L., Tanguay R.L. In vivo evaluation of carbon fullerene toxicity using embryonic zebrafish. Carbon N. Y. 2007;45:1891–1898. doi: 10.1016/j.carbon.2007.04.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Vibe C.B., Fenaroli F., Pires D., Wilson S.R., Bogoeva V., Kalluru R., Speth M., Anes E., Griffiths G., Hildahl J. Thioridazine in PLGA nanoparticles reduces toxicity and improves rifampicin therapy against mycobacterial infection in zebrafish. Nanotoxicology. 2016;10:680–688. doi: 10.3109/17435390.2015.1107146. [DOI] [PubMed] [Google Scholar]
- 154.Zhuang S., Zhang Z., Zhang W., Bao L., Xu C., Zhang H. Enantioselective developmental toxicity and immunotoxicity of pyraclofos toward zebrafish (Danio rerio) Aquat. Toxicol. 2015;159:119–126. doi: 10.1016/j.aquatox.2014.12.006. [DOI] [PubMed] [Google Scholar]
- 155.Xu H., Dong X., Zhang Z., Yang M., Wu X., Liu H., Lao Q., Li C. Assessment of immunotoxicity of dibutyl phthalate using live zebrafish embryos. Fish Shellfish Immunol. 2015;45:286–292. doi: 10.1016/j.fsi.2015.04.033. [DOI] [PubMed] [Google Scholar]
- 156.Daroczi B., Kari G., McAleer M.F., Wolf J.C., Rodeck U., Dicker A.P. In vivo Radioprotection by the Fullerene Nanoparticle DF-1 as Assessed in a Zebrafish Model. Clin. Cancer Res. 2006;12:7086–7091. doi: 10.1158/1078-0432.CCR-06-0514. [DOI] [PubMed] [Google Scholar]
- 157.Sheng L., Wang L., Su M., Zhao X., Hu R., Yu X., Hong J., Liu D., Xu B., Zhu Y., Wang H., Hong F. Mechanism of TiO2 nanoparticle-induced neurotoxicity in zebrafish (D anio rerio) Environ. Toxicol. 2016;31:163–175. doi: 10.1002/tox.22031. [DOI] [PubMed] [Google Scholar]
- 158.Wang J., Zhu X., Zhang X., Zhao Z., Liu H., George R., Wilson-Rawls J., Chang Y., Chen Y. Disruption of zebrafish (Danio rerio) reproduction upon chronic exposure to TiO2 nanoparticles. Chemosphere. 2011;83:461–467. doi: 10.1016/j.chemosphere.2010.12.069. [DOI] [PubMed] [Google Scholar]
- 159.Jang G.H., Lee K.Y., Choi J., Kim S.H., Lee K.H. Multifaceted toxicity assessment of catalyst composites in transgenic zebrafish embryos. Environ. Pollut. 2016;216:755–763. doi: 10.1016/j.envpol.2016.06.045. [DOI] [PubMed] [Google Scholar]
- 160.Lin S., Zhao Y., Xia T., Meng H., Ji Z., Liu R., George S., Xiong S., Wang X., Zhang H., et al. High content screening in zebrafish speeds up hazard ranking of transition metal oxide nanoparticles. ACS Nano. 2011;5:7284–7295. doi: 10.1021/nn202116p. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Chang J., Ichihara G., Shimada Y., Tada-Oikawa S., Kuroyanagi J., Zhang B., Suzuki Y., Sehsah R., Kato M., Tanaka T., et al. Copper Oxide Nanoparticles Reduce Vasculogenesis in Transgenic Zebrafish Through Down-Regulation of Vascular Endothelial Growth Factor Expression and Induction of Apoptosis. J. Nanosci. Nanotechnol. 2015;15:2140–2147. doi: 10.1166/jnn.2015.9762. [DOI] [PubMed] [Google Scholar]
- 162.Bar-Ilan O., Louis K.M., Yang S.P., Pedersen J.A., Hamers R.J., Peterson R.E., Heideman W. Titanium dioxide nanoparticles produce phototoxicity in the developing zebrafish. Nanotoxicology. 2012;6:670–679. doi: 10.3109/17435390.2011.604438. [DOI] [PubMed] [Google Scholar]
- 163.Zhang W., Lin K., Sun X., Dong Q., Huang C., Wang H., Guo M., Cui X. Toxicological effect of MPA–CdSe QDs exposure on zebrafish embryo and larvae. Chemosphere. 2012;89:52–59. doi: 10.1016/j.chemosphere.2012.04.012. [DOI] [PubMed] [Google Scholar]
- 164.Powell D.R., Huttenlocher A. Neutrophils in the Tumor Microenvironment. Trends Immunol. 2016;37:41–52. doi: 10.1016/j.it.2015.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Chambers S.E.J., O’Neill C.L., O’Doherty T.M., Medina R.J., Stitt A.W. The role of immune-related myeloid cells in angiogenesis. Immunobiology. 2013;218:1370–1375. doi: 10.1016/j.imbio.2013.06.010. [DOI] [PubMed] [Google Scholar]
- 166.Renshaw S.A., Loynes C.A., Trushell D.M.I., Elworthy S., Ingham P.W., Whyte M.K.B. A transgenic zebrafish model of neutrophilic inflammation. Blood. 2006;108:3976–3978. doi: 10.1182/blood-2006-05-024075. [DOI] [PubMed] [Google Scholar]
- 167.Duan J., Hu H., Li Q., Jiang L., Zou Y., Wang Y., Sun Z. Combined toxicity of silica nanoparticles and methylmercury on cardiovascular system in zebrafish (Danio rerio) embryos. Environ. Toxicol. Pharmacol. 2016;44:120–127. doi: 10.1016/j.etap.2016.05.004. [DOI] [PubMed] [Google Scholar]
- 168.Boushehri M.A.S., Lamprecht A. Nanoparticles as drug carriers: Current issues with in vitro testing. Nanomedicine. 2015;10:3213–3230. doi: 10.2217/nnm.15.154. [DOI] [PubMed] [Google Scholar]
- 169.Nguyen V.H., Lee B.J. Protein corona: A new approach for nanomedicine design. Int. J. Nanomed. 2017;12:3137–3151. doi: 10.2147/IJN.S129300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Jain P., Pawar R.S., Pandey R.S., Madan J., Pawar S., Lakshmi P.K., Sudheesh M.S. In-vitro in-vivo correlation (IVIVC) in nanomedicine: Is protein corona the missing link? Biotechnol. Adv. 2017;35:889–904. doi: 10.1016/j.biotechadv.2017.08.003. [DOI] [PubMed] [Google Scholar]
- 171.Harper S., Maddux B.L.S., Hutchison J.E., Usenko C., Tanguay R. Biodistribution and Toxicity of Nanomaterials In Vivo: Effects of Composition, Size, Surface Functionalization and Route of Exposure. Nanotech. 2007;2:666–669. [Google Scholar]
- 172.Wilhelm S., Tavares A.J., Dai Q., Ohta S., Audet J., Dvorak H.F., Chan W.C.W. Analysis of nanoparticle delivery to tumours. Nat. Rev. Mater. 2016;1 doi: 10.1038/natrevmats.2016.14. [DOI] [Google Scholar]
- 173.Torrice M. Does Nanomedicine Have a Delivery Problem? ACS Publ. 2016 doi: 10.1021/acscentsci.6b00190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Muntimadugu E., Kommineni N., Khan W. Exploring the Potential of Nanotherapeutics in Targeting Tumor Microenvironment for Cancer Therapy. Pharmacol. Res. 2017:1–14. doi: 10.1016/j.phrs.2017.05.010. [DOI] [PubMed] [Google Scholar]
- 175.Stylianopoulos T., Jain R.K. Design considerations for nanotherapeutics in oncology. Nanomedicine. 2015;11:1893–1907. doi: 10.1016/j.nano.2015.07.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Kuninty P.R., Schnittert J., Storm G., Prakash J. MicroRNA Targeting to Modulate Tumor Microenvironment. Front. Oncol. 2016;6:1–8. doi: 10.3389/fonc.2016.00003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Kirchberger S., Sturtzel C., Pascoal S., Distel M. Quo natas, Danio?—Recent Progress in Modeling Cancer in Zebrafish. Front. Oncol. 2017;7 doi: 10.3389/fonc.2017.00186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Wang J., Cao Z., Zhang X.M., Nakamura M., Sun M., Hartman J., Harris R.A., Sun Y., Cao Y. Novel mechanism of macrophage-mediated metastasis revealed in a zebrafish model of tumor development. Cancer Res. 2015;75:306–315. doi: 10.1158/0008-5472.CAN-14-2819. [DOI] [PubMed] [Google Scholar]
- 179.Rouhi P., Jensen L.D., Cao Z., Hosaka K., Länne T., Wahlberg E., Steffensen J.F., Cao Y. Hypoxia-induced metastasis model in embryonic zebrafish. Nat. Protoc. 2010;5:1911–1918. doi: 10.1038/nprot.2010.150. [DOI] [PubMed] [Google Scholar]
- 180.Stoletov K., Montel V., Lester R.D., Gonias S.L., Klemke R. High-resolution imaging of the dynamic tumor cell vascular interface in transparent zebrafish. Proc. Natl. Acad. Sci. USA. 2007;104:17406–17411. doi: 10.1073/pnas.0703446104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Van der Ent W., Burrello C., de Lange M.J., van der Velden P.A., Jochemsen A.G., Jager M.J., Snaar-Jagalska B.E. Embryonic Zebrafish: Different Phenotypes after Injection of Human Uveal Melanoma Cells. Ocul. Oncol. Pathol. 2015;1:170–181. doi: 10.1159/000370159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Zhang B., Shimada Y., Kuroyanagi J., Nishimura Y., Umemoto N., Nomoto T., Shintou T., Miyazaki T., Tanaka T. Zebrafish xenotransplantation model for cancer stem-like cell study and high-throughput screening of inhibitors. Tumor Biol. 2014;35:11861–11869. doi: 10.1007/s13277-014-2417-8. [DOI] [PubMed] [Google Scholar]
- 183.Eguiara A., Holgado O., Beloqui I., Abalde L., Sanchez Y., Callol C., Martin A.G. Xenografts in zebrafish embryos as a rapid functional assay for breast cancer stem-like cell identification. Cell Cycle. 2011;10:3751–3757. doi: 10.4161/cc.10.21.17921. [DOI] [PubMed] [Google Scholar]
- 184.Zhao Y., Huang X., Ding T.W., Gong Z. Enhanced angiogenesis, hypoxia and neutrophil recruitment during Myc-induced liver tumorigenesis in zebrafish. Sci. Rep. 2016;6:31952. doi: 10.1038/srep31952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Wagner D.S., Delk N.A., Lukianova-hleb E.Y., Hafner J.H., Lapotko D.O. The in vivo performance of plasmonic nanobubbles as cell theranostic agents in zebrafish hosting prostate cancer xenografts. Biomaterials. 2010;31:7567–7574. doi: 10.1016/j.biomaterials.2010.06.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Jain A.S., Makhija D.T., Goel P.N., Shah S.M., Nikam Y., Gude R.P., Jagtap A.G., Nagarsenker M.S. Docetaxel in cationic lipid nanocapsules for enhanced in vivo activity. Pharm. Dev. Technol. 2016;21:76–85. doi: 10.3109/10837450.2014.971374. [DOI] [PubMed] [Google Scholar]
- 187.Gong C., Deng S., Wu Q., Xiang M., Wei X., Li L., Gao X., Wang B., Sun L., Chen Y., et al. Improving antiangiogenesis and anti-tumor activity of curcumin by biodegradable polymeric micelles. Biomaterials. 2013;34:1413–1432. doi: 10.1016/j.biomaterials.2012.10.068. [DOI] [PubMed] [Google Scholar]
- 188.Naber H.P.H., Drabsch Y., Snaar-Jagalska B.E., ten Dijke P., van Laar T. Snail and Slug, key regulators of TGF-β-induced EMT, are sufficient for the induction of single-cell invasion. Biochem. Biophys. Res. Commun. 2013;435:58–63. doi: 10.1016/j.bbrc.2013.04.037. [DOI] [PubMed] [Google Scholar]
- 189.Yang X.J., Cui W., Gu A., Xu C., Yu S.C., Li T.T., Cui Y.H., Zhang X., Bian X.W. A Novel Zebrafish Xenotransplantation Model for Study of Glioma Stem Cell Invasion. PLoS ONE. 2013;8:1–9. doi: 10.1371/journal.pone.0061801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.He S., Lamers G.E.M., Beenakker J.W.M., Cui C., Ghotra V.P.S., Danen E.H.J., Meijer A.H., Spaink H.P., Snaar-Jagalska B.E. Neutrophil-mediated experimental metastasis is enhanced by VEGFR inhibition in a zebrafish xenograft model. J. Pathol. 2012;227:431–445. doi: 10.1002/path.4013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Tobia C., Gariano G., De Sena G., Presta M. Zebrafish embryo as a tool to study tumor/endothelial cell cross-talk. Biochim. Biophys. Acta. 2013;1832:1371–1377. doi: 10.1016/j.bbadis.2013.01.016. [DOI] [PubMed] [Google Scholar]
- 192.Duan J., Hu H., Feng L., Yang X., Sun Z. Silica nanoparticles inhibit macrophage activity and angiogenesis via VEGFR2-mediated MAPK signaling pathway in zebrafish embryos. Chemosphere. 2017;183:483–490. doi: 10.1016/j.chemosphere.2017.05.138. [DOI] [PubMed] [Google Scholar]
- 193.Van Ham T.J., Mapes J., Kokel D., Peterson R.T. Live imaging of apoptotic cells in zebrafish. FASEB J. 2010;24:4336–4342. doi: 10.1096/fj.10-161018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Chakraborty C., Sharma A.R., Sharma G., Lee S.-S. Zebrafish: A complete animal model to enumerate the nanoparticle toxicity. J. Nanobiotechnol. 2016;14:65. doi: 10.1186/s12951-016-0217-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Blechinger S.R., Evans T.G., Tang P.T., Kuwada J.Y., Warren J.T., Jr., Krone P.H. The heat-inducible zebrafish hsp70 gene is expressed during normal lens development under non-stress conditions. Mech. Dev. 2002;112:213–215. doi: 10.1016/S0925-4773(01)00652-9. [DOI] [PubMed] [Google Scholar]