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The Handmade Tale "Maker" gains popularity for translating designs into objects

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Beijing Review 2024年第6期67卷 42-43页

作者： Wang Ruohan 不详

0riginally an item found only in The King's Avatar,a novel and anime TV series about a fallen esports player who becomes the manager of an Internet cafe and returns to online glory,the Myriad Manifestation Umbrella,the signature silver weapon of the evil character Lord Grim,was deemed by fans as impossible to recreate in real life.

关键词： translating silver signature

Can metabolomic signature foster precision medicine approaches in nonalcoholic fatty liver disease arena?

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Hepatobiliary Surgery and Nutrition 2022年第6期11卷 886-888页

作者： Amedeo Lonardo Azienda Ospedaliero-Universitaria ModenaItaly

Abnormal chemical reactions disrupting physiological bio-transformations in human body set the stage for the development of metabolic disorders(1).Clinically and epidemiologically,the metabolic syndrome is the most demanding among metabolic disorders in as much as it is globally common and exacts a major toll in terms of healthcare expenditures.

关键词： signature globally foster

Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma

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World Journal of Gastroenterology 2019年第2期25卷 220-232页

作者： Jing-Xian Gu Xing Zhang Run-Chen Miao Xiao-Hong Xiang Yu-Nong Fu Jing-Yao Zhang Chang Liu Kai Qu Department of Hepatobiliary Surgery The First Affiliated Hospital of Xi’an Jiaotong University

BACKGROUND Recent evidence shows that long non-coding RNAs(lncRNAs) are closely related to hepatogenesis and a few aggressive features of hepatocellular carcinoma(HCC). Increasing studies demonstrate that lncRNAs are potential prognostic factors for HCC. Moreover, several studies reported the combination of lncRNAs for predicting the overall survival(OS) of HCC, but the results varied. Thus,more effort including more accurate statistical approaches is needed for exploring the prognostic value of lncRNAs in HCC.AIM To develop a robust lncRNA signature associated with HCC recurrence to improve prognosis prediction of HCC.METHODS Univariate COX regression analysis was performed to screen the lncRNAs significantly associated with recurrence-free survival(RFS) of HCC in GSE76427 for the least absolute shrinkage and selection operator(LASSO) modelling. The established lncRNA signature was validated and developed in The Cancer Genome Atlas(TCGA) series using Kaplan-Meier curves. The expression values of the identified lncRNAs were compared between the tumor and non-tumor tissues. Pathway enrichment of these lncRNAs was conducted based on the significantly co-expressed genes. A prognostic nomogram combining the lncRNA signature and clinical characteristics was constructed.RESULTS The lncRNA signature consisted of six lncRNAs: MSC-AS1, POLR2 J4, EIF3 J-AS1,SERHL, RMST, and PVT1. This risk model was significantly associated with the RFS of HCC in the TCGA cohort with a hazard ratio(HR) being 1.807(95%CI[confidence interval]: 1.329-2.457) and log-rank P-value being less than 0.001. The best candidates of the six-lncRNA signature were younger male patients with HBV infection in relatively early tumor-stage and better physical condition but with higher preoperative alpha-fetoprotein. All the lncRNAs were significantly upregulated in tumor samples compared to non-tumor samples(P < 0.05). The most significantly enriched pathways of the lncRNAs were TGF-β signaling pathway, cellular apoptosis-associated pathways, etc. The nomogr

关键词： Long non-coding RNAs Hepatocellular carcinoma Prognostic signature Recurrence-free survival Least absolute shrinkage and selection operator

Five-CpG-based prognostic signature for predicting survival in hepatocellular carcinoma patients

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Cancer Biology & Medicine 2018年第4期15卷 425-433页

作者： Feng Fang Xiaoqing Wang Tianqiang Song Department of Hepatobiliary Cancer Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin Tianjin's Clinical Research Center for Cancer

Objective:Hepatocellular carcinoma(HCC)is a common malignancy associated with high morbidity and mortality rates worldwide.Early diagnosis plays an important role in the improvement of HCC prognosis.Methods:In this study,we conducted a comprehensive analysis of HCC DNA methylation and gene expression datasets in The Cancer Genome Atlas(TCGA),to identify a prognostic signature for HCC diagnosis and survival prediction.First,we identified differential methylation CpG(dmCpG)sites in HCC samples and compared them with those in adjacent normal liver tissues;this was followed by univariate analysis and Sure Independence Screening(SIS)in the training set.The robustness of the identified prognostic signature was evaluated using the testing set.To explore the biological processes involved in HCC progression,we also performed functional enrichment analysis for overlapping genes between genes containing dmCpG sites(DMGs)and differential expression genes(DEGs)in HCC patients,using data from the Database for Annotation,Visualization,and Integrated Discovery(DAVID).Results:As a result,we identified five CpG sites that were significantly associated with HCC survival through univariate analysis and SIS.Univariate analysis of clinical characteristics identified age and risk factors(including alcohol consumption and smoking)as independent factors that indicated HCC survival.Multivariate analysis indicated that the integrated prognostic signature(weighted combination of the five CpG sites)that took age and risk factors into consideration resulted in more accurate survival prediction.Conclusions:This study provides a novel signature for predicting HCC survival,and should be helpful for early HCC diagnosis and personalized treatment.

关键词： Hepatocellular carcinoma methylation prognosis prognostic signature TCGA

Functional Striatal Abnormalities:A Distinct Brain signature of Schizophrenia

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Neuroscience Bulletin 2021年第2期37卷 284-286页

作者： Sugai Liang Tao Li Mental Health Center and Psychiatric Laboratory State Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengdu 610041China West China Brain Research Centre West China HospitalSichuan UniversityChengdu 610041China

Schizophrenia is a severe and complex mental disorder 111.Neuroimaging offers a powerful window for identifying the brain biomarkers and investigating the neuropathological mechanisms of psychiatric disorders.A study led by Professors Jiang and Liu,published recently in Nature Medicine,developed a new neuroimaging biomarker to characterize striatal dysfunction based on a multi-site functional MRI dataset with>1000 individuals.They show that this biomarker can distinguish individuals with schizophrenia and predict the short-term effects of antipsychotic treatmem[2].

关键词： individual signature Schizophrenia

Correction:COVID-19 and flu:conserved or specific immune signature?

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Cellular & Molecular Immunology 2022年第12期19卷 1439-1439页

作者： Christophe Paget François Trottein Centre d’Etude des Pathologies Respiratoires INSERM U1100 Université de Tours Faculté de Médecine de Tours 37000 Tours France Centre d’Infection et d’Immunité de Lille INSERM U1019 CNRS UMR 9017 Université de Lille CHU Lille UMS 2014 - PLBS U1019 Institut Pasteur de Lille 59000 Lille France

Correction to:Cellular&Molecular Immunology https://***/10.1038/s41423-020-00595-3,published online 11 January 2021 The licence information was missing from this article and should havebeenCC-BY.The original article h... 详细信息

关键词： signature conserved corrected

Enrichment of AT-TA transversion at 5′-CAG-3′ motif is not a unique mutational signature of aristolochic acid

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Science China(Life Sciences) 2019年第7期62卷 974-977页

作者： Xin Wang Xinming Qi Jin Ren Center for Drug Safety Evaluation and Research State Key Laboratory of Drug ResearchShanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China University of Chinese Academy of Sciences Beijing 100049China

Aristolochic acids (AA) are the etiologic agents of aristolochic acid nephropathy (AAN) and contribute to the global prevalence of chronic kidney disease and urothelial cancer (Grollman et al.,2007).DNA adducts formed by AA generate a unique A>T transversions mutation spectrum at adenine exclusively on the non-transcribed strand (strand bias).

关键词： Aristolochic acids mutational signature and hepatocellular carcinoma

The sequence signature of an Ig-fold

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Protein & Cell 2013年第8期4卷 569-572页

作者： Jia-Huai Wang Dana-Farber Cancer Institute and Department of Pediatrics Harvard Medical SchoolBostonMA 02215USA College of Life SciencesPeking UniversityBeijing 100871China

Ig superfamily(IgSF)constitutes the largest superfamily in human genome.In particular,Ig-like domains are the most abundant structural module within cell surface receptors,functioning in nervous as well as immune system.Here I describe some key sequence signature of an I-set Ig-like domain from known structures of IgSF members.These signature residues defi ne the I-set Ig-like domain,which should aid structural and functional studies of cell surface receptors.

关键词： signature system. residues

Identification of an immune-related gene-based signature to predict prognosis of patients with gastric cancer

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World Journal of Gastrointestinal Oncology 2020年第8期12卷 857-876页

作者： Xiang-Ting Qiu Yu-Cui Song Jian Liu Zhen-Min Wang Xing Niu Jing He Department of Clinical Laboratory Linyi Central HospitalLinyi 276400Shandong ProvinceChina Department of Operating Room Linyi Central HospitalLinyi 276400Shandong ProvinceChina Second Clinical College Shengjing Hospital Affiliated to China Medical UniversityShenyang 110004Liaoning ProvinceChina Department of Pediatric Surgery Guangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623Guangdong ProvinceChina

BACKGROUND Gastric cancer(GC)is the most commonly diagnosed malignancy worldwide.Increasing evidence suggests that it is necessary to further explore genetic and immunological characteristics of GC.AIM To construct an immune-related gene(IRG)signature for accurately predicting the prognosis of patients with GC.METHODS Differentially expressed genes(DEGs)between 375 gastric cancer tissues and 32 normal adjacent tissues were obtained from The Cancer Genome Atlas(TCGA)GDC data portal.Then,differentially expressed IRGs from the ImmPort database were identified for GC.Cox univariate survival analysis was used to screen survival-related IRGs.Differentially expressed survival-related IRGs were considered as hub IRGs.Genetic mutations of hub IRGs were analyzed.Then,hub IRGs were selected to conduct a prognostic signature.Receiver operating characteristic(ROC)curve analysis was used to evaluate the prognostic performance of the signature.The correlation of the signature with clinical features and tumor-infiltrating immune cells was analyzed.RESULTS Among all DEGs,70 hub IRGs were obtained for GC.The deletions and amplifications were the two most common types of genetic mutations of hub IRGs.A prognostic signature was identified,consisting of ten hub IRGs(including S100A12,DEFB126,KAL1,APOH,CGB5,GRP,GLP2R,LGR6,PTGER3,and CTLA4).This prognostic signature could accurately distinguish patients into highand low-risk groups,and overall survival analysis showed that high risk patients had shortened survival time than low risk patients(Psignature was 0.761,suggesting that the prognostic signature had a high sensitivity and accuracy.Multivariate regression analysis demonstrated that the prognostic signature could become an independent prognostic predictor for GC after adjustment for other clinical features.Furthermore,we found that the prognostic signature was significantly correlated with macrophage infiltration.CONCLUSION Our study proposed an immune-related prognostic signature fo

关键词： Gastric cancer Immune-related genes Tumor microenvironment Immune infiltration Prognosis signature