4,158 Works
Supplementary document for Plasmon-Driven Catalytic Reactions in Optoplasmonic Sandwich Hybrid Structure - 6203790.pdf
Xin Zhang, Xin Xie, Lingjun Zhang, Zhaoxian Chen & Yingzhou Huang
Supplemental Information
Plasmon-Driven Catalytic Reactions in Optoplasmonic Sandwich Hybrid Structure
Xin Zhang, Xin Xie, Lingjun Zhang, Zhaoxian Chen & Yingzhou Huang
As an interesting phenomenon in the field of surface enhanced Raman spectroscopy (SERS), the plasmon-driven catalytic reaction (PDSC) induced by plasmonic hot electrons has great value in the research of novel properties of surface plasmons and accuracy of SERS applications. In this work, a optoplasmonic sandwich hybrid structure is proposed for studying PDSC of PATP mol-ecules , which is composed of Au film, metal organic frameworks (MOFs) nanoparticles (ZIF-8) and single SiO2 microsphere (Au film@MOFs@SiO2)....
Event-based imaging polarimeter simulation with a single DoFP image
Changda Yan, Xia Wang, Xin Zhang & Conghe Wang
Event camera is a new neuromorphic vision sensor with the advantages of high dynamic range (HDR), high temporal resolution(HTR), low latency, and low power consumption. Currently, most imaging polarimeters are limited with dynamic range and frame rate for using frame-based cameras. According to the principle of event camera, we can establish an event-based imaging polarimeter to obtain HDR and HTR polarized event stream for processing polarization information. However, due to the short history and high...
Supplementary document for Event-based imaging polarimeter simulation with one single DoFP image - 6206274.pdf
Changda Yan, Xia Wang, Xin Zhang & Conghe Wang
Supplementaryexperimental details
Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer
Yanan Liu, Zhiguang Gao, Cheng Peng & Xingli Jiang
Abstract We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC =...
Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer
Yanan Liu, Zhiguang Gao, Cheng Peng & Xingli Jiang
Abstract We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC =...
m6A-immune-related lncRNA prognostic signature for predicting immune landscape and prognosis of bladder cancer
Zi-Hao Feng, Yan-Ping Liang, Jun-Jie Cen, Hao-Hua Yao, Hai-Shan Lin, Jia-Ying Li, Hui Liang, Zhu Wang, Qiong Deng, Jia-Zheng Cao, Yong Huang, Jin-Huan Wei, Jun-Hang Luo, Wei Chen & Zhen-Hua Chen
Abstract Background N6-methyladenosine (m6A) related long noncoding RNAs (lncRNAs) may have prognostic value in bladder cancer for their key role in tumorigenesis and innate immunity. Methods Bladder cancer transcriptome data and the corresponding clinical data were acquired from the Cancer Genome Atlas (TCGA) database. The m6A-immune-related lncRNAs were identified using univariate Cox regression analysis and Pearson correlation analysis. A risk model was established using least absolute shrinkage and selection operator (LASSO) Cox regression analyses, and...
Additional file 10 of Copy number variant analysis for syndromic congenital heart disease in the Chinese population
Ping Li, Weicheng Chen, Mengru Li, Zhengshan Zhao, Zhiyu Feng, Han Gao, Meijiao Suo, Ziqing Xu, Guixiang Tian, Feizhen Wu, Sheng Wei & Guoying Huang
Additional file 10. Table S7. Recurrent CNVs in previously published syndromic CHD cohorts and our study.
Additional file 2 of Copy number variant analysis for syndromic congenital heart disease in the Chinese population
Ping Li, Weicheng Chen, Mengru Li, Zhengshan Zhao, Zhiyu Feng, Han Gao, Meijiao Suo, Ziqing Xu, Guixiang Tian, Feizhen Wu, Sheng Wei & Guoying Huang
Additional file 2. Table S2. Training gene set generated from RDDC, Phenopedia, and DisGeNET.
Additional file 6 of Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
Meichen Li, Jing Chen, Baishen Zhang, Juan Yu, Na Wang, Delan Li, Yang Shao, Dongqin Zhu, Chuqiao Liang, Yutong Ma, Qiuxiang Ou, Xue Hou & Likun Chen
Additional file 6: Fig. S6 Concordance of ctDNA response and radiographic response.
Additional file 7 of Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
Meichen Li, Jing Chen, Baishen Zhang, Juan Yu, Na Wang, Delan Li, Yang Shao, Dongqin Zhu, Chuqiao Liang, Yutong Ma, Qiuxiang Ou, Xue Hou & Likun Chen
Additional file 7: Fig. S7 Mutational profiles of CSF and plasma samples at baseline.
Additional file 8 of Dynamic monitoring of cerebrospinal fluid circulating tumor DNA to identify unique genetic profiles of brain metastatic tumors and better predict intracranial tumor responses in non-small cell lung cancer patients with brain metastases: a prospective cohort study (GASTO 1028)
Meichen Li, Jing Chen, Baishen Zhang, Juan Yu, Na Wang, Delan Li, Yang Shao, Dongqin Zhu, Chuqiao Liang, Yutong Ma, Qiuxiang Ou, Xue Hou & Likun Chen
Additional file 8: Fig. S8 The proportion of clonal and subclonal mutations in CSF and plasma samples at baseline and after 8 weeks of treatment.
A potential novel inflammation biomarker for predicting the prognosis of decompensated liver cirrhosis
Yanan Xie, Chiyi He & Wei Wang
This study aimed to explore the prognostic value of the lymphocyte (LYM)-to-white blood cell (WBC) ratio (LWR) in patients with decompensated liver cirrhosis (DLC). This study was conducted by recruiting 214 patients with DLC with different aetiologies (development cohort). Receiver operating characteristic (ROC) curve analyses were used to assess the predictive accuracy of the LWR, and Youdenโs index was used to determine the optimal cut-off values of the LWR based on the ROC curve. Next,...
Elemental inheritance evaluation for geochemical elements in soil of the Daliangshan, China
Zhen-Jie Zhang, Hong Liu & Yuan Ouyang
Table S1
Additional file 2 of Metabolomic profiling of bovine leucocytes transformed by Theileria annulata under BW720c treatment
Hong-xi Zhao, Xia Li, Jun-long Liu, Gui-quan Guan & Xin-gang Dan
Additional file 2: Table S2. All differential metabolites at 48 h and 72 h in both modes (neg and pos).
Additional file 1 of Both indirect maternal and direct fetal genetic effects reflect the observational relationship between higher birth weight and lower adult bone mass
Jiang-Wei Xia, Lin Zhang, Jin Li, Cheng-Da Yuan, Xiao-Wei Zhu, Yu Qian, Saber Khederzadeh, Jia-Xuan Gu, Lin Xu, Jian-Hua Gao, Ke-Qi Liu, David Karasik, Shu-Yang Xie, Guo-Bo Chen & Hou-Feng Zheng
Additional file 1: Fig. S1. Restricted cubic spline analysis to show the relationship between birth weight and Lumbar spine bone parameters. Fig. S2. Restricted cubic spline analysis to show the relationship between birth weight and Lateral spine bone parameters. Fig. S3. Restricted cubic spline analysis to show the relationship between birth weight and heel BMD. Table S1. Characteristics of the single nucleotide polymorphisms associated with the birth weight. Table S2. Detailed information on the GWAS...
Additional file 1 of Both indirect maternal and direct fetal genetic effects reflect the observational relationship between higher birth weight and lower adult bone mass
Jiang-Wei Xia, Lin Zhang, Jin Li, Cheng-Da Yuan, Xiao-Wei Zhu, Yu Qian, Saber Khederzadeh, Jia-Xuan Gu, Lin Xu, Jian-Hua Gao, Ke-Qi Liu, David Karasik, Shu-Yang Xie, Guo-Bo Chen & Hou-Feng Zheng
Additional file 1: Fig. S1. Restricted cubic spline analysis to show the relationship between birth weight and Lumbar spine bone parameters. Fig. S2. Restricted cubic spline analysis to show the relationship between birth weight and Lateral spine bone parameters. Fig. S3. Restricted cubic spline analysis to show the relationship between birth weight and heel BMD. Table S1. Characteristics of the single nucleotide polymorphisms associated with the birth weight. Table S2. Detailed information on the GWAS...
Metabolomic profiling of bovine leucocytes transformed by Theileria annulata under BW720c treatment
Hong-xi Zhao, Xia Li, Jun-long Liu, Gui-quan Guan & Xin-gang Dan
Abstract Background When Theileria annulata infects host cells, it undertakes unlimited proliferation as tumor cells. Although the transformed cells will recover their limited reproductive characteristics and enter the apoptosis process after treatment with buparvaquone (BW720c), the metabolites and metabolic pathways involved are not clear. Methods The transformed cells of T. annulata were used as experimental materials, and the buparvaquone treatment group and DMSO control group were used. Qualitative and quantitative analysis was undertaken of 36...
Design of a VIS-NIR superachromatic triplet with five-color correction for a broadband interferometer
Qi Lu, Yifan Ding, Wei Wang, Shijie Liu & Min Xu
In general, ๐ lenses with different materials can achieve at most (๐+1)-color correction (๐โฅ2). In this paper, a superachromat containing three lenses is designed to achieve five-color correction in the 600 - 1600 nm waveband, where the maximum chromatic focal shift is controlled within 1/100,000 of the focal length, achieving an almost unprecedented result. Conditions for lens power combination of three thin lenses in contact are firstly derived based on the Buchdahl dispersion equation, then...
Additional file 13 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 13: Table S10: Two-way ANOVA test F-value of genes expression levels related to salicylic acid biosynthesis and signaling transduction for three C. sinensis cultivars (BY1, HJY and SCZ) affected by development stage (S) and cultivar (C).
Additional file 1 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 1: Fig. S1: The ABCDE model and the quartet model of floral organ development in Arabidopsis thaliana.
Additional file 4 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 4: Table S1: The primers used for qRT-PCR verification.
Additional file 5 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 5: Table S2: ESI-MS/MS parameters for determination of eight phytohormones.
Additional file 7 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 7: Table S4: Summary of RNA-Seq data and mapping metrics.
Additional file 8 of Transcriptome analysis reveals the roles of phytohormone signaling in tea plant (Camellia sinensis L.) flower development
Xiaohan Xu, Jing Tao, Anqi Xing, Zichen Wu, Yuqin Xu, Yi Sun, Jiangyuan Zhu, Xiang Dai & Yuhua Wang
Additional file 8: Table S5: Two-way ANOVA test F-value of expression levels of the genes related to flowering time and flower development for three C. sinensis cultivars (BY1, HJY and SCZ) affected by development stage (S) and cultivar (C).
Affiliations
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Ministry of Education of the People's Republic of China4,158
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Shanghai Jiao Tong University2,859
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Chinese Academy of Medical Sciences & Peking Union Medical College2,834
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Zhejiang University2,752
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Capital Medical University2,407
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Fudan University2,401
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Huazhong University of Science and Technology2,272
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Sichuan University2,245
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Chinese Academy of Sciences2,187
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Sun Yat-sen University2,109