Imaging Lignin-Downregulated Alfalfa Using Coherent Anti-Stokes Raman Scattering Microscopy

Targeted lignin modification in bioenergy crops could potentially improve conversion efficiency of lignocellulosic biomass to biofuels. To better assess the impact of lignin modification on overall cell wall structure, wild-type and lignin-downregulated alfalfa lines were imaged using coherent anti-Stokes Raman scattering (CARS) microscopy. The 1,600-cm^?1 Raman mode was used in CARS imaging to specifically represent the lignin signal in the plant cell walls. The intensities of the CARS signal follow the general trend of lignin contents in cell walls from both wild-type and lignin-downregulated plants. In the downregulated lines, the overall reduction of lignin content agreed with the previously reported chemical composition. However, greater reduction of lignin content in cell corners was observed by CARS imaging, which could account for the enhanced susceptibility to chemical and enzymatic hydrolysis observed previously.     

Imaging of Lipids in Microalgae with Coherent Anti-Stokes Raman Scattering Microscopy

Microalgae have great prospects as a sustainable resource of lipids for refinement into nutraceuticals and biodiesel, which increases the need for detailed insights into their intracellular lipid synthesis/storage mechanisms. As an alternative strategy to solvent- and label-based lipid quantification techniques, we introduce time-gated coherent anti-Stokes Raman scattering (CARS) microscopy for monitoring lipid contents in living algae, despite strong autofluorescence from the chloroplasts, at approximately picogram and subcellular levels by probing inherent molecular vibrations. Intracellular lipid droplet synthesis was followed in Phaeodactylum tricornutum algae grown under (1) light/nutrient-replete (control [Ctrl]), (2) light-limited (LL), and (3) nitrogen-starved (NS) conditions. Good correlation (r² = 0.924) was found between lipid volume data yielded by CARS microscopy and total fatty acid content obtained from gas chromatography-mass spectrometry analysis. In Ctrl and LL cells, micron-sized lipid droplets were found to increase in number throughout the growth phases, particularly in the stationary phase. During more excessive lipid accumulation, as observed in NS cells, promising commercial harvest as biofuels and nutritional lipids, several micron-sized droplets were present already initially during cultivation, which then fused into a single giant droplet toward stationary phase alongside with new droplets emerging. CARS microspectroscopy further indicated lower lipid fluidity in NS cells than in Ctrl and LL cells, potentially due to higher fatty acid saturation. This agreed with the fatty acid profiles gathered by gas chromatography-mass spectrometry. CARS microscopy could thus provide quantitative and semiqualitative data at the single-cell level along with important insights into lipid-accumulating mechanisms, here revealing two different modes for normal and excessive lipid accumulation.The accumulation of lipids in microalgae is currently a field of intense research: with their high photosynthetic efficiency and rapid growth rates, these organisms hold great potential both for sustainable production of biofuels (Chisti, 2007) and as a nutrition source (de Jesus Raposo et al., 2013). As in all living cells, lipids in microalgae are present in membranes, such as the plasma and organelle membranes. Some microalgae also accumulate lipids, mainly triacylglycerols, in intracellular droplets (De Martino et al., 2011; White et al., 2012). One such microalga is Phaeodactylum tricornutum, a unicellular photoautotrophic diatom and a well-studied model organism. It has a sequenced genome and is known to produce long-chain n-3 polyunsaturated fatty acids (PUFAs), eicosapentaenoic acid (EPA), and small amounts of docosahexaenoic acid (DHA; Alonso et al., 1998). The long-chain n-3 PUFA-producing properties has made it particularly interesting within the areas of functional food and nutraceuticals. Under conditions of nitrogen starvation, P. tricornutum accumulates larger amounts of fatty acids, albeit of the more saturated nature (Yongmanitchai and Ward, 1991). However, in response to low irradiance, P. tricornutum has been reported to increase its content of PUFAs, especially EPA (Thompson et al., 1990). In order to optimize strain selection and algal cultivation conditions in relation to lipid accumulation/lipid profile, accurate tools to quantify total lipids as well as the degree of unsaturation are required.Solvent extractions followed by methylation, gas chromatography coupled to flame ionization detection, and gas chromatography-mass spectrometry (GC-MS) detection belong to the standard techniques used for algal lipid analysis. However, these are cumbersome and require relatively large amounts of solvents and sample. The resulting quantitative information on lipid amounts is related to total cell mass, which may introduce artifacts, as the cell mass is also influenced by other metabolic parameters. Furthermore, these bioanalytical techniques provide rough population averages without information on the intracellular location or distribution. As an alternative, microscopy techniques are increasingly being used, with the benefit that lipid droplets can be evaluated directly in single cells with high precision. Fluorescence microscopy is the most widespread technique, relying on lipid-specific fluorescent markers: Nile Red is commonly used, but its poor permeability through the cell walls causes difficulties, as does its nonspecific binding (Chen et al., 2009). Other fluorophores like BODIPY 505/515 also have been suggested for live-cell studies (Cooper et al., 2010; Wong and Franz, 2013). Still, invasive techniques are needed, requiring solvents to facilitate the transport of the labeling molecules into the cell, potentially inducing stress responses that may affect cell metabolism. Furthermore, there is little knowledge available on how the accumulation of lipophilic dyes in lipid droplets and the fluorescence emission are influenced by environmental conditions such as temperature, pH, and deposited light doses. It has also been shown that the fluorescence intensity emitted from the dyes cannot be related directly to the local lipid concentration, excluding quantitative measurements (De la Hoz Siegler et al., 2012). In algae/plant cell biology, the applicability of fluorescence microscopy is also limited due to the fact that algae/plant cells generate strong autofluorescence, potentially interfering with the lipid/fatty acid signals. In order to take algal lipid quantification one step further, microscopy techniques, not being dependent on exogenous fluorophores and allowing efficient separation of the lipid/fatty acid signal from the autofluorescence, are desirable.In label-free coherent anti-Stokes Raman scattering (CARS) microscopy, images are formed by probing intrinsic molecular vibrations through a nonlinear four-wave-mixing process (Cheng and Xie, 2004). Briefly, the frequency difference of two coherent near-infrared excitation beams (the pump beam at shorter wavelengths and the Stokes beam at longer wavelengths) are tuned to match the frequency of the target molecular vibration_. As a result, resonant oscillators are coherently driven in the sample focal volume and an enhanced blue-shifted CARS signal is generated. Due to the nonlinear nature of the CARS process, emission is generated only in the high-intensity region of focused laser beams, allowing optical sectioning of the specimen. By tuning the frequency difference of the excitation beams to match the resonance frequency of carbon-hydrogen (C-H) vibrations, especially abundant in lipids, three-dimensional images of lipids can be recorded without any staining (Enejder et al., 2010). As the CARS emission scales with the square of the concentration of C-H bonds, quantitative data on intracellular amounts of lipids can be extracted (Cheng and Xie, 2004). However, cells with chromophores, such as algae and plant cells, generate exceptionally strong two-photon fluorescence, the spectral tails of which tend to bleed through the most efficient optical filters typically used for separation of the CARS signal. As an alternative approach, we have incorporated a time-correlated single-photon counting system (Enejder et al., 2010), allowing us to distinguish the long-decay fluorescence component from the instant CARS signal by time gating.The capability of conventional CARS imaging for microalgae was recently demonstrated with proof-of-principle data, showing that individual, larger lipid droplets can be resolved visually, in contrast to conventional Raman microscopy (He et al., 2012). In this study, we introduce CARS microscopy with time-gated detection, also enabling the identification of subpicogram lipid-rich regions in the vicinity of strongly autofluorescent chloroplasts. This is particularly important because cellular storage lipids in algae are primarily synthesized in the chloroplasts and then budded off from the envelope membranes as nascent lipid droplets (Fan et al., 2011). Hence, time-gated CARS microscopy paves the way for high-precision quantification of the complete intracellular distribution of lipid stores, including the emerging droplets within and adjacent to chloroplasts. We show the feasibility of the approach for quantitative lipid analysis of large populations of living P. tricornutum cultivated under three different growth conditions: a control (Ctrl) group, a light-limited (LL) group to increase the EPA level, and a nitrogen-starved (NS) group to increase total lipid accumulation. We studied the lipid metabolism in approximately 100 cells per category over time and report detailed visual information on the dynamics of lipid droplet formation throughout a life cycle from budding droplets to, in some cases, giant lipid stores. We show that biologically relevant quantitative and qualitative data on intracellular lipid stores can be extracted at a precision of less than 1 pg cell⁻¹ despite adjacent chromophores. Data extracted from the CARS images are further compared with solvent extraction and quantification of fatty acids using GC-MS. We further illustrate the potential to assess whether the different growth conditions promote the synthesis of more PUFAs by detecting shifts in lipid fluidity and saturation per individual lipid droplet from CARS C-H vibration ratio images.     

Label-free Evaluation of Hepatic Microvesicular Steatosis with Multimodal Coherent Anti-Stokes Raman Scattering Microscopy

Hepatic microvesicular steatosis is a hallmark of drug-induced hepatotoxicity and early-stage fatty liver disease. Current histopathology techniques are inadequate for the clinical evaluation of hepatic microvesicular steatosis. In this paper, we explore the use of multimodal coherent anti-Stokes Raman scattering (CARS) microscopy for the detection and characterization of hepatic microvesicular steatosis. We show that CARS microscopy is more sensitive than Oil Red O histology for the detection of microvesicular steatosis. Computer-assisted analysis of liver lipid level based on CARS signal intensity is consistent with triglyceride measurement using a standard biochemical assay. Most importantly, in a single measurement procedure on unprocessed and unstained liver tissues, multimodal CARS imaging provides a wealth of critical information including the detection of microvesicular steatosis and quantitation of liver lipid content, number and size of lipid droplets, and lipid unsaturation and packing order of lipid droplets. Such information can only be assessed by multiple different methods on processed and stained liver tissues or tissue extracts using current standard analytical techniques. Multimodal CARS microscopy also permits label-free identification of lipid-rich non-parenchymal cells. In addition, label-free and non-perturbative CARS imaging allow rapid screening of mitochondrial toxins-induced microvesicular steatosis in primary hepatocyte cultures. With its sensitivity and versatility, multimodal CARS microscopy should be a powerful tool for the clinical evaluation of hepatic microvesicular steatosis.     

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

Glioblastoma multiforme (GBM) is the most aggressive form of brain tumors with no curative treatments available to date.Murine models of this pathology rely on the injection of a suspension of glioma cells into the brain parenchyma following incision of the dura-mater. Whereas the cells have to be injected superficially to be accessible to intravital two-photon microscopy, superficial injections fail to recapitulate the physiopathological conditions. Indeed, escaping through the injection tract most tumor cells reach the extra-dural space where they expand abnormally fast in absence of mechanical constraints from the parenchyma.Our improvements consist not only in focally implanting a glioma spheroid rather than injecting a suspension of glioma cells in the superficial layers of the cerebral cortex but also in clogging the injection site by a cross-linked dextran gel hemi-bead that is glued to the surrounding parenchyma and sealed to dura-mater with cyanoacrylate. Altogether these measures enforce the physiological expansion and infiltration of the tumor cells inside the brain parenchyma. Craniotomy was finally closed with a glass window cemented to the skull to allow chronic imaging over weeks in absence of scar tissue development.Taking advantage of fluorescent transgenic animals grafted with fluorescent tumor cells we have shown that the dynamics of interactions occurring between glioma cells, neurons (e.g. Thy1-CFP mice) and vasculature (highlighted by an intravenous injection of a fluorescent dye) can be visualized by intravital two-photon microscopy during the progression of the disease.The possibility to image a tumor at microscopic resolution in a minimally compromised cerebral environment represents an improvement of current GBM animal models which should benefit the field of neuro-oncology and drug testing.     

Automated Identification of Subcellular Organelles by Coherent Anti-Stokes Raman Scattering

Coherent anti-Stokes Raman scattering (CARS) is an emerging tool for label-free characterization of living cells. Here, unsupervised multivariate analysis of CARS datasets was used to visualize the subcellular compartments. In addition, a supervised learning algorithm based on the “random forest” ensemble learning method as a classifier, was trained with CARS spectra using immunofluorescence images as a reference. The supervised classifier was then used, to our knowledge for the first time, to automatically identify lipid droplets, nucleus, nucleoli, and endoplasmic reticulum in datasets that are not used for training. These four subcellular components were simultaneously and label-free monitored instead of using several fluorescent labels. These results open new avenues for label-free time-resolved investigation of subcellular components in different cells, especially cancer cells.     

Automated Identification of Subcellular Organelles by Coherent Anti-Stokes Raman Scattering

Coherent anti-Stokes Raman scattering (CARS) is an emerging tool for label-free characterization of living cells. Here, unsupervised multivariate analysis of CARS datasets was used to visualize the subcellular compartments. In addition, a supervised learning algorithm based on the “random forest” ensemble learning method as a classifier, was trained with CARS spectra using immunofluorescence images as a reference. The supervised classifier was then used, to our knowledge for the first time, to automatically identify lipid droplets, nucleus, nucleoli, and endoplasmic reticulum in datasets that are not used for training. These four subcellular components were simultaneously and label-free monitored instead of using several fluorescent labels. These results open new avenues for label-free time-resolved investigation of subcellular components in different cells, especially cancer cells.     

Surfactant Uptake Dynamics in Mammalian Cells Elucidated with Quantitative Coherent Anti-Stokes Raman Scattering Microspectroscopy

The mechanism of surfactant-induced cell lysis has been studied with quantitative coherent anti-Stokes Raman scattering (CARS) microspectroscopy. The dynamics of surfactant molecules as well as intracellular biomolecules in living Chinese Hamster Lung (CHL) cells has been examined for a low surfactant concentration (0.01 w%). By using an isotope labeled surfactant having CD bonds, surfactant uptake dynamics in living cells has been traced in detail. The simultaneous CARS imaging of the cell itself and the internalized surfactant has shown that the surfactant molecules is first accumulated inside a CHL cell followed by a sudden leak of cytosolic components such as proteins to the outside of the cell. This finding indicates that surfactant uptake occurs prior to the cell lysis, contrary to what has been believed: surface adsorption of surfactant molecules has been thought to occur first with subsequent disruption of cell membranes. Quantitative CARS microspectroscopy enables us to determine the molecular concentration of the surfactant molecules accumulated in a cell. We have also investigated the effect of a drug, nocodazole, on the surfactant uptake dynamics. As a result of the inhibition of tubulin polymerization by nocodazole, the surfactant uptake rate is significantly lowered. This fact suggests that intracellular membrane trafficking contributes to the surfactant uptake mechanism.     

Virotherapy of the Malignant U87 Human Glioblastoma in the Orthotopic Xenotransplantation Mouse SCID Model

The possibility of glioblastoma virotherapy at intravenous injection of the LIVP–GFP recombinant virus was studied in experimental model of orthotopic xenotransplantation of human glioblastoma cell line U87 to SCID laboratory mice. The LIVP–GFP recombinant virus deficient for thymidine kinase exhibited a significantly greater oncolytic capacity than the original LIVP virus, and an intravenous injection of LIVP–GFP at the early stages of tumorigenesis in mouse brain in most cases resulted in the lysis of the tumor.     

18F-FET MicroPET and MicroMRI for Anti-VEGF and Anti-PlGF Response Assessment in an Orthotopic Murine Model of Human Glioblastoma

BackgroundConflicting data exist for anti-cancer effects of anti-placental growth factor (anti-PlGF) in combination with anti-VEGF. Still, this treatment combination has not been evaluated in intracranial glioblastoma (GBM) xenografts. In clinical studies, position emission tomography (PET) using the radiolabeled amino acid O-(2-¹⁸F-fluoroethyl)-L-tyrosine (¹⁸F-FET) and magnetic resonance imaging (MRI) add complementary but distinct information about glioma growth; however, the value of ¹⁸F-FET MicroPET combined with MicroMRI has not been investigated preclinically. Here we examined the use of ¹⁸F-FET MicroPET and MicroMRI for evaluation of anti-VEGF and anti-PlGF treatment response in GBM xenografts.MethodsMice with intracranial GBM were treated with anti-VEGF, anti-PlGF + anti-VEGF or saline. Bioluminescence imaging (BLI), ¹⁸F-FET MicroPET and T2-weighted (T2w)-MRI were used to follow tumour development. Primary end-point was survival, and tumours were subsequently analysed for Ki67 proliferation index and micro-vessel density (MVD). Further, PlGF and VEGFR-1 expression were examined in a subset of the xenograft tumours and in 13 GBM patient tumours.ResultsAnti-VEGF monotherapy increased survival and decreased ¹⁸F-FET uptake, BLI and MVD, while no additive effect of anti-PlGF was observed. ¹⁸F-FET SUV_max tumour-to-brain (T/B) ratio was significantly lower after one week (114±6%, n = 11 vs. 143±8%, n = 13; p = 0.02) and two weeks of treatment (116±12%, n = 8 vs. 190±24%, n = 5; p = 0.02) in the anti-VEGF group as compared with the control group. In contrast, T2w-MRI volume was unaffected by anti-VEGF. Gene expression of PlGF and VEGFR-1 in xenografts was significantly lower than in patient tumours.Conclusion¹⁸F-FET PET was feasible for anti-angiogenic response evaluation and superior to T2w-MRI; however, no additive anti-cancer effect of anti-PlGF and anti-VEGF was observed. Thus, this study supports use of ¹⁸F-FET PET for response evaluation in future studies.     

Inhibition of Pediatric Glioblastoma Tumor Growth by the Anti-Cancer Agent OKN-007 in Orthotopic Mouse Xenografts

Pediatric glioblastomas (pGBM), although rare, are one of the leading causes of cancer-related deaths in children, with tumors essentially refractory to existing treatments. Here, we describe the use of conventional and advanced in vivo magnetic resonance imaging (MRI) techniques to assess a novel orthotopic xenograft pGBM mouse (IC-3752GBM patient-derived culture) model, and to monitor the effects of the anti-cancer agent OKN-007 as an inhibitor of pGBM tumor growth. Immunohistochemistry support data is also presented for cell proliferation and tumor growth signaling. OKN-007 was found to significantly decrease tumor volumes (p<0.05) and increase animal survival (p<0.05) in all OKN-007-treated mice compared to untreated animals. In a responsive cohort of treated animals, OKN-007 was able to significantly decrease tumor volumes (p<0.0001), increase survival (p<0.001), and increase diffusion (p<0.01) and perfusion rates (p<0.05). OKN-007 also significantly reduced lipid tumor metabolism in responsive animals [(Lip1.3 and Lip0.9)-to-creatine ratio (p<0.05)], as well as significantly decrease tumor cell proliferation (p<0.05) and microvessel density (p<0.05). Furthermore, in relationship to the PDGFRα pathway, OKN-007 was able to significantly decrease SULF2 (p<0.05) and PDGFR-α (platelet-derived growth factor receptor-α) (p<0.05) immunoexpression, and significantly increase decorin expression (p<0.05) in responsive mice. This study indicates that OKN-007 may be an effective anti-cancer agent for some patients with pGBMs by inhibiting cell proliferation and angiogenesis, possibly via the PDGFRα pathway, and could be considered as an additional therapy for pediatric brain tumor patients.     

Combined RNAi-Mediated Suppression of Rictor and EGFR Resulted in Complete Tumor Regression in an Orthotopic Glioblastoma Tumor Model

The PI3K/AKT/mTOR pathway is commonly over activated in glioblastoma (GBM), and Rictor was shown to be an important regulator downstream of this pathway. EGFR overexpression is also frequently found in GBM tumors, and both EGFR and Rictor are associated with increased proliferation, invasion, metastasis and poor prognosis. This research evaluated in vitro and in vivo whether the combined silencing of EGFR and Rictor would result in therapeutic benefits. The therapeutic potential of targeting these proteins in combination with conventional agents with proven activity in GBM patients was also assessed. In vitro validation studies were carried out using siRNA-based gene silencing methods in a panel of three commercially available human GBM cell lines, including two PTEN mutant lines (U251MG and U118MG) and one PTEN-wild type line (LN229). The impact of EGFR and/or Rictor silencing on cell migration and sensitivity to chemotherapeutic drugs in vitro was determined. In vivo validation of these studies was focused on EGFR and/or Rictor silencing achieved using doxycycline-inducible shRNA-expressing U251MG cells implanted orthotopically in Rag2M mice brains. Target silencing, tumor size and tumor cell proliferation were assessed by quantification of immunohistofluorescence-stained markers. siRNA-mediated silencing of EGFR and Rictor reduced U251MG cell migration and increased sensitivity of the cells to irinotecan, temozolomide and vincristine. In LN229, co-silencing of EGFR and Rictor resulted in reduced cell migration, and increased sensitivity to vincristine and temozolomide. In U118MG, silencing of Rictor alone was sufficient to increase this line’s sensitivity to vincristine and temozolomide. In vivo, while the silencing of EGFR or Rictor alone had no significant effect on U251MG tumor growth, silencing of EGFR and Rictor together resulted in a complete eradication of tumors. These data suggest that the combined silencing of EGFR and Rictor should be an effective means of treating GBM.     

Expression of N-myristoyltransferase in Human Brain Tumors

N-myristoylation is a process of covalent irreversible protein modification that promotes association of proteins with membranes. Based on our previous findings of elevated N-myristoyltransferase (NMT) activity in colonic epithelial neoplasms that appears at an early stage in colonic carcinogenesis, together with elevated NMT expression in human colorectal and gallbladder carcinomas, we investigated NMT activity and protein expression of NMT1 and NMT2 in human brain tumors and documented elevated NMT activity and higher protein expressions. For the first time, we have demonstrated that NMT has the potential to be used as a marker of human brain tumors. However, further studies with larger number of patients are required to establish its role as a complementary diagnostic tool. This finding has significant implications for further understanding of biological mechanisms involved in tumorigenesis, as well as for diagnosis and therapy of human brain tumors.     

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) has been limitedly used for orthotopic pancreatic tumor xenografts due to severe respiratory motion artifact in the abdominal area. Orthotopic tumor models offer advantages over subcutaneous ones, because those can reflect the primary tumor microenvironment affecting blood supply, neovascularization, and tumor cell invasion. We have recently established a protocol of DCE-MRI of orthotopic pancreatic tumor xenografts in mouse models by securing tumors with an orthogonally bent plastic board to prevent motion transfer from the chest region during imaging. The pressure by this board was localized on the abdominal area, and has not resulted in respiratory difficulty of the animals. This article demonstrates the detailed procedure of orthotopic pancreatic tumor modeling using small animals and DCE-MRI of the tumor xenografts. Quantification method of pharmacokinetic parameters in DCE-MRI is also introduced. The procedure described in this article will assist investigators to apply DCE-MRI for orthotopic gastrointestinal cancer mouse models.     

Monitoring Prostate Tumor Growth in an Orthotopic Mouse Model Using Three-Dimensional Ultrasound Imaging Technique

Prostate cancer (CaP) is the most commonly diagnosed and the second leading cause of death from cancer in males in USA. Prostate orthotopic mouse model has been widely used to study human CaP in preclinical settings. Measurement of changes in tumor size obtained from noninvasive diagnostic images is a standard method for monitoring responses to anticancer modalities. This article reports for the first time the usage of a three-dimensional (3D) ultrasound system equipped with photoacoustic (PA) imaging in monitoring longitudinal prostate tumor growth in a PC-3 orthotopic NODSCID mouse model (n = 8). Two-dimensional and 3D modes of ultrasound show great ability in accurately depicting the size and shape of prostate tumors. PA function on two-dimensional and 3D images showed average oxygen saturation and average hemoglobin concentration of the tumor. Results showed a good fit in representative exponential tumor growth curves (n = 3; r² = 0.948, 0.955, and 0.953, respectively) and a good correlation of tumor volume measurements performed in vivo with autopsy (n = 8, r = 0.95, P < .001). The application of 3D ultrasound imaging proved to be a useful imaging modality in monitoring tumor growth in an orthotopic mouse model, with advantages such as high contrast, uncomplicated protocols, economical equipment, and nonharmfulness to animals. PA mode also enabled display of blood oxygenation surrounding the tumor and tumor vasculature and angiogenesis, making 3D ultrasound imaging an ideal tool for preclinical cancer research.     

A Tri-Modality Image Fusion Method for Target Delineation of Brain Tumors in Radiotherapy

Purpose

To develop a tri-modality image fusion method for better target delineation in image-guided radiotherapy for patients with brain tumors.

Methods

A new method of tri-modality image fusion was developed, which can fuse and display all image sets in one panel and one operation. And a feasibility study in gross tumor volume (GTV) delineation using data from three patients with brain tumors was conducted, which included images of simulation CT, MRI, and ¹⁸F-fluorodeoxyglucose positron emission tomography (¹⁸F-FDG PET) examinations before radiotherapy. Tri-modality image fusion was implemented after image registrations of CT+PET and CT+MRI, and the transparency weight of each modality could be adjusted and set by users. Three radiation oncologists delineated GTVs for all patients using dual-modality (MRI/CT) and tri-modality (MRI/CT/PET) image fusion respectively. Inter-observer variation was assessed by the coefficient of variation (COV), the average distance between surface and centroid (ADSC), and the local standard deviation (SD_local). Analysis of COV was also performed to evaluate intra-observer volume variation.

Results

The inter-observer variation analysis showed that, the mean COV was 0.14(±0.09) and 0.07(±0.01) for dual-modality and tri-modality respectively; the standard deviation of ADSC was significantly reduced (p<0.05) with tri-modality; SD_local averaged over median GTV surface was reduced in patient 2 (from 0.57 cm to 0.39 cm) and patient 3 (from 0.42 cm to 0.36 cm) with the new method. The intra-observer volume variation was also significantly reduced (p = 0.00) with the tri-modality method as compared with using the dual-modality method.

Conclusion

With the new tri-modality image fusion method smaller inter- and intra-observer variation in GTV definition for the brain tumors can be achieved, which improves the consistency and accuracy for target delineation in individualized radiotherapy.     

Label-free imaging of lipid dynamics using Coherent Anti-stokes Raman Scattering (CARS) and Stimulated Raman Scattering (SRS) microscopy

The recently developed Coherent Anti-stokes Raman Scattering (CARS) microscopy and Stimulated Raman Scattering (SRS) microscopy have provided new methods to visualize the localization and regulation of biological molecules without the use of invasive and potentially perturbative labels. They allow rapid imaging of specific molecules with high resolution and sensitivity. These tools have been effectively applied to the study of lipid metabolism using Caenorhabditis elegans as a genetic model, unraveling new lipid storage phenotypes and their regulatory mechanisms. Here we review the underlying principle of CARS and SRS microscopy, as well as their recent applications in lipid biology research in C. elegans.     

Label-Free Detection of Insulin and Glucagon within Human Islets of Langerhans Using Raman Spectroscopy

Intrahepatic transplantation of donor islets of Langerhans is a promising therapy for patients with type 1 diabetes. It is of critical importance to accurately monitor islet quality before transplantation, which is currently done by standard histological methods that are performed off-line and require extensive sample preparation. As an alternative, we propose Raman spectroscopy which is a non-destructive and label-free technique that allows continuous real-time monitoring of the tissue to study biological changes as they occur. By performing Raman spectroscopic measurements on purified insulin and glucagon, we showed that the 520 cm^-1 band assigned to disulfide bridges in insulin, and the 1552 cm^-1 band assigned to tryptophan in glucagon are mutually exclusive and could therefore be used as indirect markers for the label-free distinction between both hormones. High-resolution hyperspectral Raman imaging for these bands showed the distribution of disulfide bridges and tryptophan at sub-micrometer scale, which correlated with the location of insulin and glucagon as revealed by conventional immunohistochemistry. As a measure for this correlation, quantitative analysis was performed comparing the Raman images with the fluorescence images, resulting in Dice coefficients (ranging between 0 and 1) of 0.36 for insulin and 0.19 for glucagon. Although the use of separate microscope systems with different spatial resolution and the use of indirect Raman markers cause some image mismatch, our findings indicate that Raman bands for disulfide bridges and tryptophan can be used as distinctive markers for the label-free detection of insulin and glucagon in human islets of Langerhans.     

人肝癌原位移植转移模型特性实验研究

目的　建立人肝癌细胞系HCC-9724(简称H)淋巴结转移模型,研究肿瘤转移机理。方法　采用裸鼠肝脏原位移植法,接种肿瘤细胞,取其淋巴结转移灶反复肝内接种,连续传三代后,观察其转移特性,采用SABC法测定淋巴结中nm23和Ⅳ型胶原酶表达。结果　裸鼠原位接种50d,肝内长出约1.7cm×6.0cm大小的肿瘤,呈分叶状,质地较软,周围血供丰富,瘤组织与邻近脏器粘连,有明显的浸润和转移,经裸鼠三次筛选后肿瘤潜伏期短(15d),瘤体大,形成广泛的肠系膜淋巴结转移,淋巴结中Ⅳ型胶原酶表达呈强阳性;而nm23呈弱阳性。结论　采用裸鼠肝原位移植法,反复筛选,获得了人肝癌淋巴结高转移模型。     

Multi-photon Imaging of Tumor Cell Invasion in an Orthotopic Mouse Model of Oral Squamous Cell Carcinoma

Loco-regional invasion of head and neck cancer is linked to metastatic risk and presents a difficult challenge in designing and implementing patient management strategies. Orthotopic mouse models of oral cancer have been developed to facilitate the study of factors that impact invasion and serve as model system for evaluating anti-tumor therapeutics. In these systems, visualization of disseminated tumor cells within oral cavity tissues has typically been conducted by either conventional histology or with in vivo bioluminescent methods. A primary drawback of these techniques is the inherent inability to accurately visualize and quantify early tumor cell invasion arising from the primary site in three dimensions. Here we describe a protocol that combines an established model for squamous cell carcinoma of the tongue (SCOT) with two-photon imaging to allow multi-vectorial visualization of lingual tumor spread. The OSC-19 head and neck tumor cell line was stably engineered to express the F-actin binding peptide LifeAct fused to the mCherry fluorescent protein (LifeAct-mCherry). Fox1^nu/nu mice injected with these cells reliably form tumors that allow the tongue to be visualized by ex-vivo application of two-photon microscopy. This technique allows for the orthotopic visualization of the tumor mass and locally invading cells in excised tongues without disruption of the regional tumor microenvironment. In addition, this system allows for the quantification of tumor cell invasion by calculating distances that invaded cells move from the primary tumor site. Overall this procedure provides an enhanced model system for analyzing factors that contribute to SCOT invasion and therapeutic treatments tailored to prevent local invasion and distant metastatic spread. This method also has the potential to be ultimately combined with other imaging modalities in an in vivo setting.     

In vivo Imaging and Therapeutic Treatments in an Orthotopic Mouse Model of Ovarian Cancer

Human cancer and response to therapy is better represented in orthotopic animal models. This paper describes the development of an orthotopic mouse model of ovarian cancer, treatment of cancer via oral delivery of drugs, and monitoring of tumor cell behavior in response to drug treatment in real time using in vivo imaging system. In this orthotopic model, ovarian tumor cells expressing luciferase are applied topically by injecting them directly into the mouse bursa where each ovary is enclosed. Upon injection of D-luciferin, a substrate of firefly luciferase, luciferase-expressing cells generate bioluminescence signals. This signal is detected by the in vivo imaging system and allows for a non-invasive means of monitoring tumor growth, distribution, and regression in individual animals. Drug administration via oral gavage allows for a maximum dosing volume of 10 mL/kg body weight to be delivered directly to the stomach and closely resembles delivery of drugs in clinical treatments. Therefore, techniques described here, development of an orthotopic mouse model of ovarian cancer, oral delivery of drugs, and in vivo imaging, are useful for better understanding of human ovarian cancer and treatment and will improve targeting this disease.Download video file.^{(89M, mp4)}