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Stomatocyte structural color-barcode micromotors for multiplex assays

National Science Review 2020年第3期7卷 644-651页

作者： Lijun Cai Huan Wang Yunru Yu Feika Bian Yu Wang Keqing Shi Fangfu Ye Yuanjin Zhao Precision Medicine Center Laboratory The First Affiliated Hospital of Wenzhou Medical University Wenzhou Institute University of Chinese Academy of Sciences State Key Laboratory of Bioelectronics School of Biological Science and Medical EngineeringSoutheast University Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences

Artificial micromotors have a demonstrated value in the biomedical area. Attempts to develop this technology tend to impart micromotors with novel functions to improve the values. Herein, we present novel structural color-barcode micromotors for the multiplex assays. We found that, by rapidly extracting solvent and assembling monodispersed nanoparticles in droplets, it could form stomatocyte colloidal crystal clusters, which not only showed striking structural colors and characteristic reflection peaks due to their ordered nanoparticles arrangement, but also provided effective cavities for the integration of functional elements. Thus, the micromotors with catalysts or magnetic elements in their cavities, as well as with the corresponding structural color coding, could be achieved by using the platinum and ferric oxide dispersed pre-gel to fill and duplicate the stomatocyte colloidal crystal clusters. We have demonstrated that the self-movement of these structural color-barcode micromotors could efficiently accelerate the mixing speed of the detection sample and greatly increase the probe–target interactions towards faster and more sensitive single or multiplex detection, and the magnetism of these barcode micromotors enables the flexible collection of the micromotors, which could facilitate the detection processes. These features make the stomatocyte structural color-barcode micromotors ideal for biomedical applications.

关键词： structural color micromotor sensor photonic crystal multiplex assay

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Identification of Mixtures of Two Types of Body Fluids Using the multiplex Methylation System and Random Forest Models

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Current Medical Science 2023年第5期43卷 908-918页

作者： Han-xiao WANG Xiao-zhao LIU Xi-miao HE Chao XIAO Dai-xin HUANG Shao-hua YI Department of Forensic Medicine Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Physiology School of Basic MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Objective Body fluid mixtures are complex biological samples that frequently occur in crime scenes,and can provide important clues for criminal case *** methylation assay has been applied in the identification of human body fluids,and has exhibited excellent performance in predicting single-source body *** present study aims to develop a methylation SNaPshot multiplex system for body fluid identification,and accurately predict the mixture *** addition,the value of DNA methylation in the prediction of body fluid mixtures was further *** In the present study,420 samples of body fluid mixtures and 250 samples of single body fluids were tested using an optimized multiplex methylation *** kind of body fluid sample presented the specific methylation profiles of the 10 *** Significant differences in methylation levels were observed between the mixtures and single body *** all kinds of mixtures,the Spearman’s correlation analysis revealed a significantly strong correlation between the methylation levels and component proportions(1:20,1:10,1:5,1:1,5:1,10:1 and 20:1).Two random forest classification models were trained for the prediction of mixture types and the prediction of the mixture proportion of 2 components,based on the methylation levels of 10 *** the mixture prediction,Model-1 presented outstanding prediction accuracy,which reached up to 99.3%in 427 training samples,and had a remarkable accuracy of 100%in 243 independent test *** the mixture proportion prediction,Model-2 demonstrated an excellent accuracy of 98.8%in 252 training samples,and 98.2%in 168 independent test *** total prediction accuracy reached 99.3%for body fluid mixtures and 98.6%for the mixture *** These results indicate the excellent capability and powerful value of the multiplex methylation system in the identification of forensic body fluid mixtures.

关键词： body fluid identification mixture mixing ratio DNA methylation multiplex assay random forest model

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Twenty-seven continental ancestry-informative SNP analysis of bone remains to resolve a forensic case

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Forensic Sciences Research 2019年第4期4卷 364-366页

作者： Qifan Sun Li Jiang Guangfeng Zhang Jing Liu Lei Zhao Wenting Zhao Caixia Li Key Laboratory of Forensic Genetics Beijing Engineering Research Center of Crime Scene Evidence ExaminationInstitute of Forensic ScienceMinistry of Public SecurityBeijingChina

We employed our previously developed 27-plex ancestry-informative single nucleotide polymorphism(SNP)panel to infer the ancestral components of bone remains of a possible foreign pilot found in south-western *** ancestry assignment of this unknown individual,we first obtained the 27-SNP genotype of the ***,based on a reference database of 3081 individuals from 33 populations,we calculated the match probability and likelihood ratio using the self-developed software program Forensic *** ancestral components of this individual were calculated by structure at K=3.A complete profile was obtained for the individual using our multiplexed SNP *** European population was within one order of magnitude of the highest *** major ancestral component of this individual was 97.6%European.

关键词： Forensic science skeletal remains ancestry inference SNPs multiplex assay capillary electrophoresis

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