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| 1 | Nanobody-based chimeric antigen receptor T cells designed by CRISPR/Cas9 technology for solid tumor immunotherapy显示文摘Chimeric antigen receptor-based T-cell immunotherapy is a promising strategy for treatment of hematological malignant tumors;however,its efficacy towards solid cancer remains challenging.We therefore focused on developing nanobody-based CAR-T cells that treat the solid tumor.CD105 expression is upregulated on neoangiogenic endothelial and cancer cells.CD105 has been developed as a drug target.Here we show the generation of a CD105-specific nanobody,an anti-human CD105 CAR-T cells,by inserting the sequences for anti-CD105 nanobody-linked standard cassette genes into AAVS1 site using CRISPR/Cas9 technology.Co-culture with CD105+target cells led to the activation of anti-CD105 CAR-T cells that displayed the typically activated cytotoxic T-cell characters,ability to proliferate,the production of pro-inflammatory cytokines,and the specific killing efficacy against CD105+target cells in vitro.The in vivo treatment with anti-CD105 CAR-T cells significantly inhibited the growth of implanted CD105+tumors,reduced tumor weight,and prolonged the survival time of tumor-bearing NOD/SCID mice.Nanobody-based CAR-T cells can therefore function as an antitumor agent in human tumor xenograft models.Our findings determined that the strategy of nanobody-based CAR-T cells engineered by CRISPR/Cas9 system has a certain potential to treat solid tumor through targeting CD105 antigen. | Fengzhen Mo Siliang Duan Xiaobing Jiang Xiaomei Yang Xiaoqiong Hou Wei Shi Cueva Jumbo Juan Carlos Aiqun Liu Shihua Yin Wu Wang Hua Yao Zihang Yu Zhuoran Tang Shenxia Xie Ziqiang Ding Xinyue Zhao Bruce D.Hammock Xiaoling Lu | 2021 | Signal Transduction and Targeted Therapy2021，6，3： | 2 |
| 2 | Love stories in 50,000 photos显示文摘Photos taken to remember olden days Yu Jinwen,a young teacher born in the late 1980s,is the founder of the'Dream Fulfllment Program.'Unable to find a decent photo of his grandfather after the elder's death,the family had to process the photo from his ID card into a portrait,utilizing an app,which haunted Yu for many years. | Zhang Zihang Lei Yu | 2023 | Changjiang Weekly2023，，3： | 0 |
| 3 | Data augmentation for bias correction in mapping PM_(2.5) based on satellite retrievals and ground observations显示文摘As most air quality monitoring sites are in urban areas worldwide,machine learning models may produce substantial estimation bias in rural areas when deriving spatiotemporal distributions of air pollutants.The bias stems from the issue of dataset shift,as the density distributions of predictor variables differ greatly between urban and rural areas.We propose a data-augmentation approach based on the multiple imputation by chained equations(MICE-DA)to remedy the dataset shift problem.Compared with the benchmark models,MICE-DA exhibits superior predictive performance in deriving the spatiotemporal distributions of hourly PM2.5 in the megacity(Chengdu)at the foot of the Tibetan Plateau,especially for correcting the estimation bias,with the mean bias decreasing from-3.4µg/m3 to-1.6µg/m3.As a complement to the holdout validation,the semi-variance results show that MICE-DA decently preserves the spatial autocorrelation pattern of PM2.5 over the study area.The essence of MICE-DA is strengthening the correlation between PM2.5 and aerosol optical depth(AOD)during the data augmentation.Consequently,the importance of AOD is largely enhanced for predicting PM2.5,and the summed relative importance value of the two satellite-retrieved AOD variables increases from 5.5%to 18.4%.This study resolved the puzzle that AOD exhibited relatively lower importance in local or regional studies.The results of this study can advance the utilization of satellite remote sensing in modeling air quality while drawing more attention to the common dataset shift problem in data-driven environmental research. | Tan Mi Die Tang Jianbo Fu Wen Zeng Michael L.Grieneisen Zihang Zhou Fengju Jia Fumo Yang Yu Zhan | 2024 | Geoscience Frontiers2024，15，1： | 0 |
| 4 | Slow-light-enhanced on-chip 1D and 2D photonic crystal waveguide gas sensing in near-IR with an ultrahigh interaction factor显示文摘Nanophotonic waveguides hold great promise to achieve chip-scale gas sensors. However, their performance is limited by a short light path and small light–analyte overlap. To address this challenge, silicon-based, slow-lightenhanced gas-sensing techniques offer a promising approach. In this study, we experimentally investigated the slow light characteristics and gas-sensing performance of 1D and 2D photonic crystal waveguides(PCWs) in the near-IR(NIR) region. The proposed 2D PCW exhibited a high group index of up to 114, albeit with a high propagation loss. The limit of detection(LoD) for acetylene(C_(2)H_(2)) was 277 parts per million(ppm) for a1 mm waveguide length and an averaging time of 0.4 s. The 1D PCW shows greater application potential compared to the 2D PCW waveguide, with an interaction factor reaching up to 288%, a comparably low propagation loss of 10 dB/cm, and an LoD of 706 ppm at 0.4 s. The measured group indices of the 2D and 1D waveguides are104 and 16, respectively, which agree well with the simulation results. | ZIHANG PENG YIJUN HUANG KAIYUAN ZHENG CHUANTAO ZHENG MINGQUAN PI HUAN ZHAO JIALIN JI YUTING MIN LEI LIANG FANG SONG YU ZHANG YIDING WANG FRANK K.TITTEL | 2023 | Photonics Research2023，11，10： | 0 |
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