Literature DB >> 34963897

Ultrasound-Controlled CRISPR/Cas9 System Augments Sonodynamic Therapy of Hepatocellular Carcinoma.

Haohao Yin1,2,3,4, Liping Sun1,2,3,4, Yinying Pu1,2,3,4, Jifeng Yu1,2,3,4, Wei Feng5, Caihong Dong6, Bangguo Zhou1,2,3,4, Dou Du1,2,3,4, Yan Zhang1,2,3,4, Yu Chen5, Huixiong Xu1,2,3,4.   

Abstract

Sonodynamic therapy (SDT), relying on the generation of reactive oxygen species (ROS), is a promising clinical therapeutic modality for the treatment of hepatocellular carcinoma (HCC) due to its noninvasiveness and high tissue-penetration depth, whereas the oxidative stress and antioxidative defense system in cancer cells significantly restrict the prevalence of SDT. Herein, we initially identified that NFE2L2 was immediately activated during SDT, which further inhibited SDT efficacy. To address this intractable issue, an ultrasound remote control of the cluster regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) release system (HMME@Lip-Cas9) was meticulously designed and constructed, which precisely knocks down NFE2L2 to alleviate the adverse effects and augment the therapeutic efficiency of SDT. The hematoporphyrin monomethyl ether (HMME) in this system yielded abundant ROS to damage cancer cells under ultrasound irradiation, and meanwhile the generated ROS could induce lysosomal rupture to release Cas9/single guide RNA ribonucleoprotein (RNP) and destroy the oxidative stress-defensing system, significantly promoting tumor cell apoptosis. This study provides a new paradigm for HCC management and lays the foundation for the widespread application of CRISPR/Cas9 with promising clinical translation, meanwhile developing a synergistic therapeutic modality in the combination of SDT with gene editing.
© 2021 The Authors. Published by American Chemical Society.

Entities:  

Year:  2021        PMID: 34963897      PMCID: PMC8704033          DOI: 10.1021/acscentsci.1c01143

Source DB:  PubMed          Journal:  ACS Cent Sci        ISSN: 2374-7943            Impact factor:   14.553


Introduction

Hepatocellular carcinoma (HCC) is one of the leading causes of morbidity and mortality, with poor prognosis, ranking as the third cause of cancer-related deaths worldwide.[1,2] Surgical management through either resection or liver transplantation is considered to be the potentially efficacious and curative treatment for HCC, but a majority of patients with more advanced diseases would not meet the criteria for surgery.[3] Given the limitations of conventional therapeutic modalities and restrictions of liver transplantation, there is an urgency to develop additional effective strategies and remedies for the treatment of HCC.[4] Sonodynamic therapy (SDT), sonosensitizer activated under low-intensity ultrasound irradiations to generate highly toxic reactive oxygen species (ROS), has been regarded as a promising preclinical noninvasive therapeutic modality in the past decade.[5−7] Compared with phototherapies (e.g., photothermal therapy or photodynamic therapy), the high tissue-penetrating depth and cost-effectiveness allow SDT to treat HCC essentially in the body.[8−12] The scientific principle underlying SDT-mediated cytotoxicity is mainly rooted in the generation of ROS, which disturbs the intracellular redox homeostasis to damage crucial components of the cancer cells.[13,14] However, there is a comprehensive antioxidant defense system to regulate the levels of ROS and prevent the accumulation of damage induced by ROS, in which nuclear factor erythroid 2-related factor 2 (NFE2L2) is an important transcription factor that targets the antioxidant response element in the upstream regulatory regions.[15] Through controlling the constitutive and inducible expression of intracellular phase II detoxification and antioxidant enzyme genes, NFE2L2 plays a beneficial role in improving the oxidative stress status, maintaining cellular redox homeostasis and promoting cell survival.[16] Therefore, NFE2L2 possibly inhibits the efficacy of ROS-based SDT and would be a potentially vulnerable target in HCC. RNA interference technology (RNAi) is so far mostly applied for targeted gene therapy by suppressing gene expression,[17−19] while the ephemeral nature of gene silencing limits its further application.[17,20] The cluster regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated endonuclease protein 9 (Cas9) technology is a prospective and powerful genome editing tool[21] to cure diseases[22] by reprogramming or activating specific genes in a precise way.[21−25] Compared to RNAi technology, the CRISPR/Cas9 system has the following features and advantages: higher targeting accuracy, complete knocking down of the target gene, and no species restriction. Cas9 nucleases under the guidance of a single guide RNA (sgRNA) can lead to double-stranded breaks (DSBs) of the target DNA sequence, which can induce code-shifting mutations in the target gene.[26] Since 2013, the successful application of the CRISPR/Cas9 system, for the first time, in mammalian cells has triggered a revolution in genome editing.[27−30] Notably, it is still elusive to efficiently translocate the CRISPR/Cas9 system into target tissues/cells for biomedical applications due to numerous extracellular and intracellular barriers, which considerably restricts the widespread utilization of CRISPR/Cas9 in vivo.[31] The ideal CRISPR/Cas9 delivery and release system should be suitable for the following criteria: (i) the sgRNA should be designed for precise gene targeting to avoid possible off-target effects; (ii) the vector material should be biocompatible possessing low toxicity and immunogenicity; (iii) exogenous stimuli could be introduced as a controllable switch to deliver without leakage and precisely release at targeted locations by external stimulations or microenvironmental triggers. Nonviral systems like Au nanoparticles[24,32,33] and lipid nanoparticles[34,35] as delivery vectors for the CRISPR/Cas9 system have attracted considerable interest because of the specific features such as high security and favorable load-carrying capacity.[36,37] Nevertheless, the low lysosomal escape rate makes most of the nonviral materials especially for synthetic nanoparticles difficult to perform safe and effective gene editing in vivo.[38] On this basis, it is hypothesized that the combination of SDT and CRISPR/Cas9-mediated gene editing technology would address the current challenges in the treatment of HCC and the delivery of the CRISPR/cas9 system. At the beginning of this study, we initially found that NFE2L2 was rapidly activated after SDT, which dissociated from Kelch-1ike ECH-associated protein l (Keap1) and rapidly translated into the nucleus, and then bonded to antioxidant response elements to maintain intracellular redox homeostasis. Subsequently, NFE2L2 overexpression and interference experiments showed that NFE2L2 promoted tumor cell growth and proliferation, which was positively correlated with tumor size. Thus, to address this issue, an ultrasound (US)-responsive CRISPR/Cas9 nanodelivery system (HMME@Lip-Cas9) was constructed to knock down NFE2L2 and enhance the efficiency of SDT. United StatesFood and Drug Administration (FDA)-approved DLin-MC3-DMA lipid nanoparticles (Lips) were used as carriers for loading the sonosensitizers hematoporphyrin monomethyl ether (HMME) and Cas9/sgRNA ribonucleoprotein (RNP). The as-obtained US-responsive CRISPR/Cas9 system (HMME@Lip-Cas9) produced ROS, which effectively disrupted the structure of the lysosomal membrane, thus achieving efficient escape of Cas9/sgRNA RNP from lysosomes, releasing into the cytoplasm and transporting to the nucleus to exert their therapeutic effect (Figure ). Unlike Lips that can only mediate the release of 1–4% of RNA into the cytoplasm,[39,40] this system can efficiently release RNP to activate Cas9 under the spatial control of US stimulation, avoiding gene mutations in nontarget regions. This research not only systematically elucidates the cellular self-protection mechanism against ROS-induced oxidative stress and addresses the challenges on the development of SDT, but also a highly biocompatible and transfection-efficient nonviral vector has been explored for the spatiotemporally controlled transmission of the CRISPSR/Cas9 system, which has a broad scope in clinical translation.
Figure 1

Schematic illustration of the designed strategy of the US-mediated CRISPR/Cas9 delivery system to enhance tumor SDT performance by amplifying oxidative stress. Preparation of HMME@Lip-Cas9 nanosystem and US-controlled CRISPR/Cas9 knock down target genes (NFE2L2). The CRISPR/Cas9 nanosystem (HMME@Lip-Cas9) generates ROS to promote apoptosis under ultrasound stimulation while disrupting the membrane structure of lysosomes, thus achieving the effective escape of Cas9/sgRNA RNP from lysosomes and efficient knock down of NFE2L2 for improving the therapeutic efficacy of SDT.

Schematic illustration of the designed strategy of the US-mediated CRISPR/Cas9 delivery system to enhance tumor SDT performance by amplifying oxidative stress. Preparation of HMME@Lip-Cas9 nanosystem and US-controlled CRISPR/Cas9 knock down target genes (NFE2L2). The CRISPR/Cas9 nanosystem (HMME@Lip-Cas9) generates ROS to promote apoptosis under ultrasound stimulation while disrupting the membrane structure of lysosomes, thus achieving the effective escape of Cas9/sgRNA RNP from lysosomes and efficient knock down of NFE2L2 for improving the therapeutic efficacy of SDT.

Results and Discussion

NFE2L2 as a Poor Prognostic Marker Up-regulated in HCC Tissues after SDT Treatment

To identify the function of the NFE2L2 gene, the expressions of HCC after different treatments were measured. The NFE2L2 protein expression levels in tumors were examined by Western blotting (Figure a, Figure S1a, Supporting Information) and immunofluorescent analysis (Figure b, Figure S1b, Supporting Information), revealing that the expression of NFE2L2 in the nucleus was significantly up-regulated after SDT treatment (intravenous injection of HMME, 5 min) and highly dependent on the power density of US. Hence, to further explore the role of NFE2L2-mediated genes in HCC, the stable overexpression and knock down of NFE2L2 in hep3B2.1-7 cell lines were constructed, respectively (Figure S2–S4, Supporting Information). Cell counting kit-8 (CCK-8) assays demonstrate that cell proliferation is clearly up-regulated by NFE2L2 overexpression and is obviously down-regulated by NFE2L2 knock down in Hep3B2.1-7 cells (Figure S5, Supporting Information). In addition, two-dimensional colony formation assays indicate that NFE2L2 overexpression or knock down significantly enhances or impairs the colony formation ability of the corresponding HCC cell lines (Figure S6, S7, Supporting Information), suggesting that NFE2L2 promotes the proliferation of HCC cells. Inspired by this, we further investigated whether NFE2L2 promotes the growth of HCC in vivo. We injected HCC cells with stable overexpression or knock down of NFE2L2 into nude mice subcutaneously to construct human tumor xenograft models. Tumors from the stable knock down of NFE2L2 in hep3B2.1-7 cells-bearing mice exhibit significant growth inhibition compared to mock or negative controls (Figure c–e), which shows that NFE2L2 knock down reduced tumor burden compared with the control group. Tumors from stable NFE2L2-overexpressing hep3B2.1-7 cells grew faster (Figure f) and exhibited greater tumor mass (Figure g,h) than mock or vector controls. Moreover, immunohistochemical staining images and corresponding quantitative analysis results of tumor resection demonstrate lower proliferating cell nuclear antigen (PCNA) and Ki67 levels in hep3B2.1-7 tumors knocking down NFE2L2 (Figure i, Figure S8a, b, Supporting Information) while higher PCNA and Ki67 levels in hep3B2.1-7 tumors overexpressing NFE2L2 (Figure j, Figure S8c,d, Supporting Information). Taken together, these findings suggest that NFE2L2 could promote tumor cell proliferation in HCC.
Figure 2

NFE2L2 promotes proliferation of HCC cells. (a) NFE2L2 protein expression levels after different SDT treatments by the Western blotting. (b) Immunofluorescence images of NFE2L2 (red) and nuclei stained by DAPI (blue) in tumors after different treatments. Scale bars, 50 μm. (c) Tumor growth curves (n = 5, mean ± SD) of hep3B2.1-7 cells with stable knock down of NFE2L2 in a xenograft mouse model (*p < 0.05, **p < 0.01, and ***p < 0.001). (d) Statistical and (e) photographic results of tumor size (n = 5, mean ± SD) in hep3B2.1-7 cells with stable knock down of NFE2L2 (*p < 0.05, **p < 0.01, and ***p < 0.001). (f) Tumor growth curves (n = 5, mean ± SD) of hep3B2.1-7 cells with stable overexpression of NFE2L2 in a xenograft mouse model (*p < 0.05, **p < 0.01, and ***p < 0.001). (g) Statistical and (h) photographic results of tumor size (n = 5, mean ± SD) in hep3B2.1-7 cells with stable overexpression of NFE2L2 (*p < 0.05, **p < 0.01, and ***p < 0.001). (i–j) Representative immunohistochemical images of Ki67 and PCNA protein levels in (i) hep3B2.1-7 xenografts with stable knock down of NFE2L2, and (j) hep3B2.1-7 xenografts with stable overexpression of NFE2L2, scale bars, 100 μm.

NFE2L2 promotes proliferation of HCC cells. (a) NFE2L2 protein expression levels after different SDT treatments by the Western blotting. (b) Immunofluorescence images of NFE2L2 (red) and nuclei stained by DAPI (blue) in tumors after different treatments. Scale bars, 50 μm. (c) Tumor growth curves (n = 5, mean ± SD) of hep3B2.1-7 cells with stable knock down of NFE2L2 in a xenograft mouse model (*p < 0.05, **p < 0.01, and ***p < 0.001). (d) Statistical and (e) photographic results of tumor size (n = 5, mean ± SD) in hep3B2.1-7 cells with stable knock down of NFE2L2 (*p < 0.05, **p < 0.01, and ***p < 0.001). (f) Tumor growth curves (n = 5, mean ± SD) of hep3B2.1-7 cells with stable overexpression of NFE2L2 in a xenograft mouse model (*p < 0.05, **p < 0.01, and ***p < 0.001). (g) Statistical and (h) photographic results of tumor size (n = 5, mean ± SD) in hep3B2.1-7 cells with stable overexpression of NFE2L2 (*p < 0.05, **p < 0.01, and ***p < 0.001). (i–j) Representative immunohistochemical images of Ki67 and PCNA protein levels in (i) hep3B2.1-7 xenografts with stable knock down of NFE2L2, and (j) hep3B2.1-7 xenografts with stable overexpression of NFE2L2, scale bars, 100 μm.

Preparation and Characterization of Lips Encapsulating CRISPR/Cas9

To overcome the limitations of the current CRISPR/Cas9 delivery system, ionizable cationic DLin-MC3-DMA liposomes, a polymer applied in US FDA-approved Onpattro, were selected to encapsulate the CRISPR/Cas9 system (Figure a). For the most efficient genome editing, we used RNP consisting of Alt-R S.p. Cas9 nuclease in complex with Alt-R CRISPR-Cas9 sgRNA (IDT).[41−43] In order to optimize the loading capacity, we prepared ionizable cationic liposomes loaded with HMME@Lip and Cas9/sgRNA at varied ratios (HMME@Lip: Cas9/sgRNA ratio) and performed agarose gel electrophoresis to determine the gene-loading capacity. The results reveal that when the HMME@Lip and Cas9/sgRNA ratio is selected at 4:1, the system exhibits an efficient and stable loading capacity for sgRNA, while a further increase of Cas9/sgRNA ratios leads to an insufficient amount of HMME@Lip, resulting in sgRNA partial degradation (Figure b). The monodispersed nanoparticles with a spherical shape and uniform size were obtained, as examined by transmission electron microscopy (TEM) imaging (Figure c,d). The diameter of HMME@Lip nanoparticles is ∼170 nm (Figure c), and the diameter increases to ∼210 nm following the combination with Cas9/sgRNA to form HMME@Lip-Cas9 (Figure d). The obtained composite nanoparticles are uniformly dispersed in aqueous solution, and the zeta potential measurements reveal a positive potential of 22.2 mV for liposomes. After coloading HMME and Cas9 RNP, the surface zeta potential is converted to 8.41 mV (Figure e). Dynamic light scattering (DLS) measurements show that the average size of HMME@Lip increases significantly following successful Cas9/sgRNA RNP loading, where the hydrodynamic diameter in HMME@Lip-Cas9 composites nanosystems was increased from the 192.6 to 243.4 nm (Figure f). These results all proved that Cas9/sgRNA RNP was uploaded onto the HMME@Lip composite nanoparticles successfully.
Figure 3

Characterizations of the HMME@Lip-Cas9 nanosystem. (a) Schematic illustration of the preparation and microstructure of HMME@Lip-Cas9 composite nanoparticles. (b) Agarose gel electrophoresis of HMME@Lip-Cas9 nanoparticles at different HMME@Lip/sgRNA ratios after incubation with serum (10% volume) for 6 h. (c) TEM image of HMME@Lip nanoparticles (scale bars: 200 nm). (d) TEM image of HMME@Lip-Cas9 composite nanoparticles (scale bars: 200 nm). (e) Zeta potential of Cas9/sgRNA, Lip, HMME@Lip, and HMME@Lip-Cas9 nanoparticles. (f) Hydrodynamic size distribution of Lip, HMME@Lip, and HMME@Lip-Cas9 nanoparticles. (g) Time-dependent UV–vis absorbance spectrum of DPBF under US irradiation. (h) Time-dependent UV–vis absorbance spectrum of DPBF treated with HMME@Lip-Cas9 nanoparticles under US irradiation. (i) UV–vis absorption values of DPBF at 410 nm after different treatments, including H2O + US and HMME@Lip-Cas9 + US. (j) ESR spectra of HMME@Lip-Cas9 + US + TEMP, and HMME@Lip-Cas9 + TEMP. (k) CLSM images of HepG2 cells stained with DCFH-DA after different treatments including control (without any treatment), US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US (1.0 W cm–2), and HMME@Lip-Cas9 + US (1.0 W cm–2) (scale bars: 20 μm).

Characterizations of the HMME@Lip-Cas9 nanosystem. (a) Schematic illustration of the preparation and microstructure of HMME@Lip-Cas9 composite nanoparticles. (b) Agarose gel electrophoresis of HMME@Lip-Cas9 nanoparticles at different HMME@Lip/sgRNA ratios after incubation with serum (10% volume) for 6 h. (c) TEM image of HMME@Lip nanoparticles (scale bars: 200 nm). (d) TEM image of HMME@Lip-Cas9 composite nanoparticles (scale bars: 200 nm). (e) Zeta potential of Cas9/sgRNA, Lip, HMME@Lip, and HMME@Lip-Cas9 nanoparticles. (f) Hydrodynamic size distribution of Lip, HMME@Lip, and HMME@Lip-Cas9 nanoparticles. (g) Time-dependent UV–vis absorbance spectrum of DPBF under US irradiation. (h) Time-dependent UV–vis absorbance spectrum of DPBF treated with HMME@Lip-Cas9 nanoparticles under US irradiation. (i) UV–vis absorption values of DPBF at 410 nm after different treatments, including H2O + US and HMME@Lip-Cas9 + US. (j) ESR spectra of HMME@Lip-Cas9 + US + TEMP, and HMME@Lip-Cas9 + TEMP. (k) CLSM images of HepG2 cells stained with DCFH-DA after different treatments including control (without any treatment), US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US (1.0 W cm–2), and HMME@Lip-Cas9 + US (1.0 W cm–2) (scale bars: 20 μm). To explore the sonodynamic performance and identify the corresponding mechanism, UV–vis spectroscopy and electron spin resonance (ESR) spectra were acquired before and after US irradiation with a HMME@Lip-Cas9 nanosystem. As shown in Figure g,h, the UV–vis spectrum shows a special peak at 410 nm due to 1,3-diphenylisobenzofuran (DPBF) as a probe to monitor the specific singlet oxygen (1O2) generation. As expected, the HMME@Lip-Cas9 nanosystem efficiently generates 1O2 upon ultrasound stimulation, as demonstrated by a significant decrease in absorbance at 410 nm with prolonging the ultrasound time and decreases less only after ultrasound radiation treatment (Figure i). In addition, when 2,2,6,6-tetramethylpiperidine (TEMP) was used to track and capture the 1O2, characteristic 1O2-induced signals can be observed in the HMME@Lip-Cas9 + US group (Figure j), while relatively weak signals could be identified in both the HMME@Lip-Cas9 group and US group. Such results confirm that the HMME@Lip-Cas9 nanosystem acts as an effective nanosonosensitizer, conferring the distinct ROS production capacity. We next explored the intracellular ROS-producing capability of the as-prepared nanosystem. The total intracellular ROS production is qualitatively and semiquantitatively evaluated by employing a 2,7-dichlorodihydrofluorescein diacetate (DCFH-DA) probe under confocal laser scanning microscopy (CLSM), where the HMME@Lip-Cas9 + US group exhibits a stronger fluorescence intensity than the HMME@Lip + US group, suggesting that the antioxidative stress of cells can be reduced, and the amount of ROS is increased by inhibiting expression of NFE2L2 (Figure k and Figure S9, Supporting Information). Meanwhile, flow cytometry (FCM) analysis is in line with the results of CLSM, indicating that the HMME@Lip-Cas9 + US group generates more ROS (Figure S10, Supporting Information).

Enhanced Green Fluorescent Protein (EGFP) Disruption in Vitro

Subsequently, the internalization and trafficking processes of the HMME@Lip-Cas9 nanosystem were further observed to reveal the fundamental mechanism of transfection within HepG2 cells, utilizing CLSM to visualize the location of Cas9/sgRNA RNP in organelles with or without US irradiation, thus revealing the fate of RNP. In the absence of US irradiation, more cyanine 3 (Cy3)-labeled Cas9 (red fluorescence) colocalized with lysosomes (green fluorescence). It is worth noting that the Cy3-labeled red fluorescent signal of Cas9/sgRNA RNP is dissociated with the lysosome of the green fluorescent signal under the US irradiation. Simultaneously, Cy3-labeled red fluorescence of Cas9/sgRNA RNP is detected at the nucleus, which indicates that Cas9/sgRNA RNP escapes from the endosomes and enters the nuclei (Figure a,b, Figure S11a,b, Supporting Information), revealing that US irradiation is essential for the lysosomal escape of RNP. Further quantitative analysis shows that the Pearson’s correlation coefficients of Cy3 and LysoTracker channels significantly decreased under US irradiation. In particular, the average Pearson’s correlation coefficient decreased to 0.42 at the sixth hour under US irradiation (Figure S11c, Supporting Information). Meanwhile, the quantification of Cy3 signals overlapping with LysoTracker and DAPI reveals that the Cy3 signals overlapping with LysoTracker decreased, while overlapping with DAPI significantly increased with the prolonged incubation time upon US treatments (Figure S11d, e, Supporting Information). Subsequently, nuclei were extracted and subjected to SDS-PAGE gel electrophoresis and Coomassie blue staining, and bands representing Cas9 protein appeared on the gel, especially under US treatments (Figure S12, Supporting Information). The above results further indicate that Cas9/sgRNA RNP could efficiently release from HMME@Lip nanoparticles and enter the nucleus under US irradiation. The editing capability of the HMME@Lip-Cas9 nanosystem for the target genome under US control was further evaluated. We designed and synthesizes sgRNA for targeting enhancement of the green fluorescent protein (EGFP) motif coding region in the HepG2-EGFP cell line, which contained a single copy of the EGFP reporter gene and constitutively expressed unstable EGFP. Gene-editing efficiency was quantified using Western blotting, CLSM, and FCM. The Western blotting results indicate that EGFP expression is significantly reduced in the HMME@Lip-Cas9 + US group compared with other groups (Figure c,d). An efficient delivery of Cas9/sgRNA RNP to cultured cells treated with US exposure, bypassing the stratum corneum and translocating to the nucleus by targeted genomic editing, is confirmed by the apparent fluorescence quenching of cells treated with HMME@Lip-Cas9 after US radiation (Figure e,f). FCM data show that treatment with HMME@Lip-Cas9 converts 44.2% of EGFP-positive cells into EGFP-negative cells, while treatment with HMME@Lip-Cas9 + US converts 78.2% of EGFP-positive cells into EGFP-negative cells, indicating that US radiation promotes the lysosomal escape of Cas9 RNP and improves genome-editing efficiency by enhancing nuclear entry (Figure g). In addition, HepG2-EGFP cells treated with HMME@Lip + US still show 83.2% EGFP positivity, indicating that US treatment does not affect the expression of EGFP protein.
Figure 4

US-triggered HMME@Lip-Cas9 nanosystem endo-/lysosomal escape and US remote control of target gene knock down. (a) CLSM images and (b) corresponding mean fluorescence signal intensity of HepG2 cells cultured with Cy3-labeled HMME@Lip-Cas9 nanosystem (under US irradiation) for 1, 3, and 6 h at 37 °C. The cell nuclei were stained with DAPI (blue), endo-/lysosomes were stained with LysoTracker Green (green), and Cas9/sgRNA RNP was labeled with Cy3 (red). Scale bars, 10 μm. (c, d) The expression levels of EGFP in HepG2-EGFP cells after different treatments (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; or IV, HMME@Lip-Cas9 with US) were analyzed by (c) Western blotting pictures and (d) semiquantitative analysis. (e, f) Typical CLSM images and corresponding average signal values of the fluorescence in different treated HepG2-EGFP cells (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; or IV, HMME@Lip-Cas9 with US). Green, EGFP; blue, nuclei stained with DAPI. Scale bar, 20 μm. (g) FCM results reveal the gene editing efficiency of HepG2-EGFP cells after different treatments (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; IV, HMME@Lip with US, or V, HMME@Lip-Cas9 with US). The EGFP-silencing efficiency of HMME@Lip-Cas9 and HMME@Lip-Cas9 was 44.2% and 78.2%, respectively.

US-triggered HMME@Lip-Cas9 nanosystem endo-/lysosomal escape and US remote control of target gene knock down. (a) CLSM images and (b) corresponding mean fluorescence signal intensity of HepG2 cells cultured with Cy3-labeled HMME@Lip-Cas9 nanosystem (under US irradiation) for 1, 3, and 6 h at 37 °C. The cell nuclei were stained with DAPI (blue), endo-/lysosomes were stained with LysoTracker Green (green), and Cas9/sgRNA RNP was labeled with Cy3 (red). Scale bars, 10 μm. (c, d) The expression levels of EGFP in HepG2-EGFP cells after different treatments (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; or IV, HMME@Lip-Cas9 with US) were analyzed by (c) Western blotting pictures and (d) semiquantitative analysis. (e, f) Typical CLSM images and corresponding average signal values of the fluorescence in different treated HepG2-EGFP cells (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; or IV, HMME@Lip-Cas9 with US). Green, EGFP; blue, nuclei stained with DAPI. Scale bar, 20 μm. (g) FCM results reveal the gene editing efficiency of HepG2-EGFP cells after different treatments (I, control; II, Cas9/sgRNA; III, HMME@Lip-Cas9 without US; IV, HMME@Lip with US, or V, HMME@Lip-Cas9 with US). The EGFP-silencing efficiency of HMME@Lip-Cas9 and HMME@Lip-Cas9 was 44.2% and 78.2%, respectively.

HMME@Lip-Cas9 Nanosystem Induces Efficient Therapeutic Gene Editing in Vitro

Subsequently, the potential therapeutic genome editing was explored, as a proof of concept, in which we evaluated HMME@Lip-Cas9 containing NFE2L2 sgRNA in vitro. It has been demonstrated that inhibition of NFE2L2 gene expression enhances the sensitivity of tumor cells to ROS and inhibits tumor growth. Therefore, NFE2L2 in HepG2 cells was elected for targeting, and efficient sequences targeting NFE2L2 sgRNA were designed and synthesized (Figure a). The biosafety of the HMME@Lip-Cas9 nanosystem was initially investigated by the standard CCK-8 assay. HMME@Lip-Cas9 nanosystem with different concentrations exhibits negligible toxicity after incubation with HepG2 cells and 293T cells for 24 h, even at a high concentration of 400 μg mL–1, indicating the low cytotoxicity of the HMME@Lip-Cas9 nanosystem (Figure b and Figure S13, Supporting Information). Subsequently, the synergistic therapeutic potential of the HMME@Lip-Cas9 nanosystem for HepG2 cells was explored by investigating the cell viability, proliferation, and live–dead status after different treatments. After varied treatments for 14 days, NFE2L2 gene editing significantly decreased the clone formation rate because the HMME@Lip-Cas9 + US group has a lower clone formation rate than the HMME@Lip + US group, while almost no effect on cell proliferation is induced in other groups (Figure c,d). Furthermore, the cell viability assays reveal significant cell killing in the HMME@Lip-Cas9 + US group compared to the other groups (Figure e). CLSM images and semiquantitative analysis exhibit the weakest green intensity of calcein-AM (staining of live cells) and the highest red intensity of propidium iodide (PI)-stained dead cells in the HMME@Lip-Cas9 + US group (Figure f and Figure S14, Supporting Information). Accordingly, FCM results indicate that an 81.5% apoptosis rate was observed in the HMME@Lip-Cas9 + US group (Figure S15, Supporting Information).
Figure 5

Synergistic therapeutic effects of gene editing and sonodynamic therapy. (a) Schematic illustration of the gene locus of the target gene NFE2L2. (b) CCK8 results showing the viability of HepG2 cells after coculture with different concentrations of the HMME@Lip-Cas9 nanosystem (0, 25, 50, 100, 200, and 400 μg mL–1) for 24 h (n = 6, *p < 0.05, **p < 0.01 and ***p < 0.001). (c) Images of clone formation and (d) the corresponding clone formation rate of HepG2 cells after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US (n = 3, *p < 0.05, **p < 0.01 and ***p < 0.001). (e) CCK-8 assay of HepG2 cells after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, and HMME@Lip-Cas9 + US (n = 4, *p < 0.05, **p < 0.01, and ***p < 0.001). (f) CLSM images of HepG2 cells stained by calcein-AM (green) and PI (red) after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US. Scale bar: 50 μm. (g) DNA sequencing results of NFE2L2 reveal the knock down capability of HepG2 cells after different treatments (control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US). (h, i) NGS results showing indel percentage of NFE2L2 in HepG2 cells treated with (h) HMME@Lip-Cas9 and (i) HMME@Lip-Cas9 + US.

Synergistic therapeutic effects of gene editing and sonodynamic therapy. (a) Schematic illustration of the gene locus of the target gene NFE2L2. (b) CCK8 results showing the viability of HepG2 cells after coculture with different concentrations of the HMME@Lip-Cas9 nanosystem (0, 25, 50, 100, 200, and 400 μg mL–1) for 24 h (n = 6, *p < 0.05, **p < 0.01 and ***p < 0.001). (c) Images of clone formation and (d) the corresponding clone formation rate of HepG2 cells after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US (n = 3, *p < 0.05, **p < 0.01 and ***p < 0.001). (e) CCK-8 assay of HepG2 cells after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, and HMME@Lip-Cas9 + US (n = 4, *p < 0.05, **p < 0.01, and ***p < 0.001). (f) CLSM images of HepG2 cells stained by calcein-AM (green) and PI (red) after different treatments, including control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US. Scale bar: 50 μm. (g) DNA sequencing results of NFE2L2 reveal the knock down capability of HepG2 cells after different treatments (control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, or HMME@Lip-Cas9 + US). (h, i) NGS results showing indel percentage of NFE2L2 in HepG2 cells treated with (h) HMME@Lip-Cas9 and (i) HMME@Lip-Cas9 + US. The mechanism of synergistic treatment was further investigated, and Sanger sequencing known as the “chain termination method” was applied to analyze the gene-editing effect of HMME@Lip-Cas9 composite nanoparticles under US irradiation in vitro. It was observed that the mutation peak of the HMME@Lip-Cas9-transfected cell genome (NFE2L2) under US irradiation was higher than other treatments (Figure g, Figure S16, Supporting Information). Subsequently, the genomic DNA of the cells after different treatments was extracted, and the fragment of the target gene NFE2L2 was amplified. After T7 endonuclease I (T7EI) digestion, the HMME@Lip-Cas9 + US group displays more cleavage products than other groups, while the cleavage bands are darker or absent (Figure S17, Supporting Information). Next-generation sequencing (NGS) was applied to quantify the indel efficiency of the NFE2L2 motif, showing the results of HMME@Lip-Cas9 group achieves genomic disruption efficiency of 17.28% (Figure h), whereas the HMME@Lip-Cas9 + US group results in the genomic disruption efficiency of 58.77% in HepG2 cells (Figure i), which is significantly higher than the other groups, indicating that the genomic editing efficiency can be significantly improved by sonodynamic disruption of the lysosomal membrane (Figures S18–S23, Supporting Information). NGS also reveals that the rates of deletion and insertion mutations in the NFE2L2 locus are 44.35% and 14.42%, respectively (Figure S24, Supporting Information). Taken together, the above results further prove that the highly efficient delivery of the CRISPR/Cas9 system and knock down of the target gene locus (NFE2L2) under US irradiation are possible with the HMME@Lip-Cas9 nanosystem to reduce the resistance of cells to ROS.

US-Activated Gene Therapy in Vivo

Prior to in vivo efficacy testing, the biosafety was initially evaluated. The biosafety of the HMME@Lip-Cas9 nanosystem was evaluated by assaying liver function and kidney function with mice. The results of alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB), alkaline phosphatase, blood urea nitrogen, and uric acid urea assays indicate that neither HMME@Lip nor targeted gene disruption causes any significant hepatorenal toxicity, revealing that the HMME@Lip-Cas9 nanosystem is biocompatible (Figure S25, Supporting Information). Hematoxylin and eosin (H&E)-stained sections of major organs (including heart, liver, spleen, lung, and kidney) further confirmed that there is almost no significant difference between the PBS and HMME@Lip-Cas9 nanosystem treatment groups (Figure S26, Supporting Information), manifesting that the HMME@Lip-Cas9 nanosystem causes neglectable acute and chronic damage to major organs. We also investigated the in vivo distribution of the HMME@Lip-Cas9 nanosystem in a xenograft nude mouse model bearing HepG2 cells. As shown by in vivo fluorescence imaging (Figure a and S27, Supporting Information), the fluorescence signal in the tumors was obviously enhanced gradually with time and peaked at 8 h. Besides, the fluorescence signal in the tumors is apparently stronger than other organs. Subsequently, the HMME@Lip-Cas9 nanosystem is progressively cleared from the body and metabolized through the kidneys and liver.
Figure 6

NFE2L2 gene editing therapy/SDT-based synergistic therapy in vivo. (a) In vivo fluorescence imaging of mice with HepG2 tumors at various time points after tail vein injection of the HMME@Lip-Cas9 nanosystem (0, 0.5, 1, 2, 3, 4, 6, 8, 12, 24, 36, and 48 h). (b) Tumor growth curves of HepG2 tumor-bearing mice after different treatments (control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, and HMME@Lip-Cas9 + US). (c) Time-dependent tumor growth curves (n = 5, mean ± SD) after various treatments (*p < 0.05, **p < 0.01, and ***p < 0.001). (d) Tumor weight after different treatments. (e) Sanger sequencing of NFE2L2 in HepG2 tumor-bearing mice after 24 h of exposure to varying treatments. (f) HepG2 tumor-bearing mice underwent HE staining and immunofluorescence staining (TUNEL, Ki67, NFE2L2, DCFH-DA) after 24 h of different treatments. Nuclei were stained by DAPI (blue).

NFE2L2 gene editing therapy/SDT-based synergistic therapy in vivo. (a) In vivo fluorescence imaging of mice with HepG2 tumors at various time points after tail vein injection of the HMME@Lip-Cas9 nanosystem (0, 0.5, 1, 2, 3, 4, 6, 8, 12, 24, 36, and 48 h). (b) Tumor growth curves of HepG2 tumor-bearing mice after different treatments (control, US only, Cas9/sgRNA, HMME@Lip-Cas9, HMME@Lip + US, and HMME@Lip-Cas9 + US). (c) Time-dependent tumor growth curves (n = 5, mean ± SD) after various treatments (*p < 0.05, **p < 0.01, and ***p < 0.001). (d) Tumor weight after different treatments. (e) Sanger sequencing of NFE2L2 in HepG2 tumor-bearing mice after 24 h of exposure to varying treatments. (f) HepG2 tumor-bearing mice underwent HE staining and immunofluorescence staining (TUNEL, Ki67, NFE2L2, DCFH-DA) after 24 h of different treatments. Nuclei were stained by DAPI (blue). A combination of SDT and NFE2L2 gene editing of HMME@Lip-Cas9 was tested for antitumor activity in a HepG2 cancer model. The constructed xenograft nude mouse models carrying HepG2 cells were randomly divided into six groups (n = 5) and treated differently according to predetermined time points. The results show that almost no significant difference in weight was observed among groups, indicating that neither the HMME@Lip-Cas9 nanosystem nor US treatment causes obvious damage to the organs (Figure S28, Supporting Information). The control, US, Cas9/sgRNA, and HMME@Lip-Cas9-treated groups show no apparent inhibitory effect on tumor growth (Figure b,c). Nevertheless, after 15 days of treatment, the HMME@Lip + US and HMME@Lip-Cas9 + US groups exhibit significant tumor growth retardation, and the tumors in the HMME@Lip-Cas9 + US group disappear completely without recurrence (Figure c, Figure S29, Supporting Information). Tumor weights are significantly reduced in the HMME@Lip + US group and HMME@Lip-Cas9 + US group (Figure d), which verifies the high efficacy of NFE2L2 gene editing combined with SDT. In addition, we collected tumor tissues and major organs at 24 h after the different treatments and extracted genomic DNA to explore the underlying mechanism of treatment by Sanger sequencing. The mutation peaks (NFE2L2) in the HMME@Lip-Cas9 + US group were significantly higher than that in other groups (Figure e, Figure 30, Supporting Information), and the mutation peaks were not detected in other organs (Figure S31, Supporting Information). Furthermore, according to the analysis of H&E-stained and terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick end labeling (TUNEL)-stained tumor tissue sections, HMME@Lip-Cas9 + US treatment results in maximal tumor cell apoptosis and necrosis (Figure f, Figure S32a, Supporting Information). In addition, Ki67 antigen-labeled cell proliferation exhibits similar results, accompanied by significantly decreased positive cell proliferation after treatment with HMME@Lip-Cas9 + US (Figure f, Figure S32b, Supporting Information), validating the stronger antitumor effect of synergistic treatment with SDT and NFE2L2 gene editing. NFE2L2 is significantly elevated in tumor tissues of mice treated with HMME@Lip + US (Figure f, Figure S32c). In contrast, NFE2L2 is reduced in tumor tissues of mice treated with HMME@Lip-Cas9 + US, while ROS fluorescence is significantly higher than that of HMME@Lip + US. These results suggest that NFE2L2 is effectively genetically silenced, thereby reducing cellular tolerance to ROS and amplifying the effect of ROS treatment (Figure f, Figure S32d, Supporting Information).

Mechanism of Synergistic Treatment of HMME@Lip-Cas9

Finally, the mRNA profiles in control and HMME@Lip-Cas9 + US treated HepG2 tumor models were analyzed by RNA sequencing to investigate the potential therapeutic mechanism of HMME@Lip-Cas9 under US irradiation. More than 1572 genes are extensively regulated in the HMME@Lip-Cas9 + US group compared to the control group (US irradiation at a power density of 1.0 W cm–2 for 5 min), including 330 up-regulated genes and 1242 down-regulated genes (p < 0.05, log2FoldChange| > 1) (Figure a,b). In accordance with the gene ontology (GO) database, differential gene expression due to HMME@Lip-Cas9 under US irradiation is closely associated with the nucleic acid metabolic process, microtubule cytoskeleton, mitotic cell cycle, and cell cycle (Figure S33, Supporting Information). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway results show that HMME@Lip-Cas9 under US irradiation induces alterations in gene expression profiles associated with endocytosis, cell cycle, proteoglycans in cancer, the MAPK signaling pathway, the p53 signaling pathway and apoptosis (Figure c). Among the 20 most significant cellular pathways, MAPK, cell cycle, p53, and apoptotic signaling pathways are significantly enriched, which are significantly associated with the proliferation, migration, and apoptosis of tumors. According to these differentially expressed genes (DEGs), variations of p53-related genes and apoptotic-related genes after treatment with HMME@Lip-Cas9 under US irradiation are enumerated in the heat map (Figure d,e). Among these 12 p53-related DEGs, 7 and 5 genes are down- and up-regulated, respectively. In addition, a significantly altered gene assignment of cell cycle, MAPK, p53, and apoptotic signaling pathways after being treated with HMME@Lip-Cas9 under US irradiation is employed for Venn diagram analysis (Figure f). Notably, key proteins in this network including growth arrest and DNA damage inducible alpha (GADD45A), and growth arrest and DNA damage inducible beta (GADD45B) perform critical regulatory roles in multiple pathways, which are significantly up-regulated after treatment with HMME@Lip-Cas9 under US irradiation. In particular, GADD45A is a family of GADD45 genes which is an essential gene for cell growth arrest and DNA damage repair, and is an important oncogene. GADD45A, a cell growth arrest and DNA damage regulatory gene, serves in a cell damage response through different pathways, like p53 and JNK signaling pathways, to inhibit tumor cell proliferation and promote apoptosis. These results suggest that treatment with HMME@Lip-Cas9 under US irradiation may contribute to the activation of multiple signaling pathways such as cell cycle, p53, and MAPK, resulting in cell cycle arrest, inhibition of cell proliferation, and promotion of apoptosis.
Figure 7

Mechanism of synergistic treatment of HMME@Lip-Cas9 under US irradiation. (a) Volcano map of genetic alterations after HMME@Lip-Cas9 treatment compared to control (p < 0.05, |fold change| ≥ 2). (b) Heat map of genetic alterations after HMME@Lip-Cas9 treatment compared to control (p < 0.05, |fold change| ≥ 2). (c) KEGG analysis of differential gene expression profiles based on the results of transcriptome sequencing after synergistic gene-editing therapy/SDT of tumors. (d) Heatmap of genes altering in protein processing in the p53 signaling pathway. (e) Heatmap of genes altering in protein processing in the apoptosis signaling pathway. (f) Venn diagram of the differentially expressed genes (DEGs) involved in cell cycle, MAPK, p53, and apoptotic signaling pathways.

Mechanism of synergistic treatment of HMME@Lip-Cas9 under US irradiation. (a) Volcano map of genetic alterations after HMME@Lip-Cas9 treatment compared to control (p < 0.05, |fold change| ≥ 2). (b) Heat map of genetic alterations after HMME@Lip-Cas9 treatment compared to control (p < 0.05, |fold change| ≥ 2). (c) KEGG analysis of differential gene expression profiles based on the results of transcriptome sequencing after synergistic gene-editing therapy/SDT of tumors. (d) Heatmap of genes altering in protein processing in the p53 signaling pathway. (e) Heatmap of genes altering in protein processing in the apoptosis signaling pathway. (f) Venn diagram of the differentially expressed genes (DEGs) involved in cell cycle, MAPK, p53, and apoptotic signaling pathways.

Conclusions

SDT is principally based on the ROS generation for inducing cancer cell death; however, the presence of an antioxidative stress defense system to maintain oxidation–reduction homeostasis is regarded as an obstacle to enhance the efficacy of SDT. As a crucial redox-sensitive transcription factor, NFE2L2 is beneficial for alleviating oxidative stress, promoting cell survival, and maintaining cellular redox homeostasis. Therefore, NFE2L2 could be a potential target for tumor therapy. The precise knockout of target genes utilizing CRISPR/Cas9-based gene-editing technology is an efficient strategy to overcome the limitations of SDT. However, there is an urgency to address the critical questions for achieving safe and efficacious delivery of Cas9/sgRNA with controlled activation in a specific spatial region to enable tumor-specific gene editing and thus prevent undesired gene mutations in normal tissues. Herein, we discovered that NFE2L2 was effectively activated after SDT and positively correlated with US power intensity, which promoted tumor cell proliferation and further inhibited the efficacy of SDT. Therefore, an US remote control CRISPR/Cas9 release system was constructed to address the efficacy challenge of SDT. The cationic liposomal MC3 with FDA-approved composition as carriers for codelivery of HMME and Cas9/sgRNA RNP were meticulously designed and fabricated to realize the synergistic therapeutic effects of SDT and gene editing, which achieved superior effectiveness in the management of HCC. First, the large amount of singlet oxygen produced by HMME after US irradiation induced apoptosis of cancer cells and disrupted the endosomal/lysosomal membrane structure, resulting in the lysosomal escape and release of Cas9/sgRNA RNP into the cytoplasm. Second, the released Cas9/sgRNA RNP entered the cell nucleus, recognized the target gene NFE2L2, and then efficiently knocked it down to eliminate the adverse effects of SDT and amplify the cellular oxidative stress level. Last but not least, this system was activated for gene editing only in tumor tissues under US irradiation, thus preventing the occurrence of gene editing in normal tissues leading to gene mutations. In summary, US remote control of CRISPR/Cas9 release precisely knocked down NFE2L2 to implement tumor-specific gene editing. NFE2L2 gene-editing knock down reversed the limitations of SDT and amplified cellular oxidative stress levels, thus enabling synergistic SDT and gene-editing therapy. Compared with light-controlled gene-editing techniques, SDT is more suitable for the management of deep tumors such as HCC due to the higher tissue-penetration depth of US. In this study, we address the intractable problems of ROS-based SDT and provide a new vehicle for the engineering of CRISPR/Ca9 delivery systems with promising clinical translation. Also, this technology has the potential to be integrated with immunotherapy to eliminate tumor metastasis and recurrence, and could be broadened to other diseases, such as degenerative brain diseases, genetic diseases, and inflammatory diseases.
  42 in total

1.  siRNA nanoparticles targeting CaMKIIγ in lesional macrophages improve atherosclerotic plaque stability in mice.

Authors:  Wei Tao; Arif Yurdagul; Na Kong; Wenliang Li; Xiaobo Wang; Amanda C Doran; Chan Feng; Junqing Wang; Mohammad Ariful Islam; Omid C Farokhzad; Ira Tabas; Jinjun Shi
Journal:  Sci Transl Med       Date:  2020-07-22       Impact factor: 17.956

Review 2.  Oxidative Stress in Cancer.

Authors:  John D Hayes; Albena T Dinkova-Kostova; Kenneth D Tew
Journal:  Cancer Cell       Date:  2020-07-09       Impact factor: 31.743

3.  Structure-guided chemical modification of guide RNA enables potent non-viral in vivo genome editing.

Authors:  Hao Yin; Chun-Qing Song; Sneha Suresh; Qiongqiong Wu; Stephen Walsh; Luke Hyunsik Rhym; Esther Mintzer; Mehmet Fatih Bolukbasi; Lihua Julie Zhu; Kevin Kauffman; Haiwei Mou; Alicia Oberholzer; Junmei Ding; Suet-Yan Kwan; Roman L Bogorad; Timofei Zatsepin; Victor Koteliansky; Scot A Wolfe; Wen Xue; Robert Langer; Daniel G Anderson
Journal:  Nat Biotechnol       Date:  2017-11-13       Impact factor: 54.908

4.  Stanene-Based Nanosheets for β-Elemene Delivery and Ultrasound-Mediated Combination Cancer Therapy.

Authors:  Wei Chen; Chuang Liu; Xiaoyuan Ji; John Joseph; Zhongmin Tang; Jiang Ouyang; Yufen Xiao; Na Kong; Nitin Joshi; Omid C Farokhzad; Wei Tao; Tian Xie
Journal:  Angew Chem Int Ed Engl       Date:  2021-02-18       Impact factor: 15.336

Review 5.  Molecular and nanoengineering approaches towards activatable cancer immunotherapy.

Authors:  Chi Zhang; Kanyi Pu
Journal:  Chem Soc Rev       Date:  2020-07-06       Impact factor: 54.564

6.  Reprogramming the Tumor Microenvironment through Second-Near-Infrared-Window Photothermal Genome Editing of PD-L1 Mediated by Supramolecular Gold Nanorods for Enhanced Cancer Immunotherapy.

Authors:  Honglin Tang; Xiaojie Xu; Yuxuan Chen; Huhu Xin; Tao Wan; Bowen Li; Hongming Pan; Da Li; Yuan Ping
Journal:  Adv Mater       Date:  2021-02-04       Impact factor: 30.849

Review 7.  Epidemiology of hepatocellular carcinoma: target population for surveillance and diagnosis.

Authors:  An Tang; Oussama Hallouch; Victoria Chernyak; Aya Kamaya; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2018-01

8.  Semiconducting polymer nano-PROTACs for activatable photo-immunometabolic cancer therapy.

Authors:  Chi Zhang; Ziling Zeng; Dong Cui; Shasha He; Yuyan Jiang; Jingchao Li; Jiaguo Huang; Kanyi Pu
Journal:  Nat Commun       Date:  2021-05-18       Impact factor: 14.919

9.  Oncogene-induced Nrf2 transcription promotes ROS detoxification and tumorigenesis.

Authors:  Gina M DeNicola; Florian A Karreth; Timothy J Humpton; Aarthi Gopinathan; Cong Wei; Kristopher Frese; Dipti Mangal; Kenneth H Yu; Charles J Yeo; Eric S Calhoun; Francesca Scrimieri; Jordan M Winter; Ralph H Hruban; Christine Iacobuzio-Donahue; Scott E Kern; Ian A Blair; David A Tuveson
Journal:  Nature       Date:  2011-07-06       Impact factor: 49.962

10.  Using siRNA in prophylactic and therapeutic regimens against SARS coronavirus in Rhesus macaque.

Authors:  Bao-jian Li; Qingquan Tang; Du Cheng; Chuan Qin; Frank Y Xie; Qiang Wei; Jun Xu; Yijia Liu; Bo-jian Zheng; Martin C Woodle; Nanshan Zhong; Patrick Y Lu
Journal:  Nat Med       Date:  2005-08-21       Impact factor: 53.440

View more
  5 in total

Review 1.  Contrast Agents for Hepatocellular Carcinoma Imaging: Value and Progression.

Authors:  Ying Zhang; Kazushi Numata; Yuewu Du; Shin Maeda
Journal:  Front Oncol       Date:  2022-06-02       Impact factor: 5.738

Review 2.  Emerging Therapies for Hepatocellular Carcinoma (HCC).

Authors:  Eesha Chakraborty; Devanand Sarkar
Journal:  Cancers (Basel)       Date:  2022-06-04       Impact factor: 6.575

Review 3.  Recent Progress Toward Imaging Application of Multifunction Sonosensitizers in Sonodynamic Therapy.

Authors:  Chunyue Wang; Yuhang Tian; Bolin Wu; Wen Cheng
Journal:  Int J Nanomedicine       Date:  2022-08-06

4.  A Fast-Response AIE-Active Ratiometric Fluorescent Probe for the Detection of Carboxylesterase.

Authors:  Mengting Xia; Chunbin Li; Lingxiu Liu; Yumao He; Yongdong Li; Guoyu Jiang; Jianguo Wang
Journal:  Biosensors (Basel)       Date:  2022-07-03

Review 5.  Research Progress on Nanoparticles-Based CRISPR/Cas9 System for Targeted Therapy of Tumors.

Authors:  Dengyun Nie; Ting Guo; Miao Yue; Wenya Li; Xinyu Zong; Yinxing Zhu; Junxing Huang; Mei Lin
Journal:  Biomolecules       Date:  2022-09-05
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.