Powder dusting method is the most practically useful approach for latent fingerprint development in the crime scene. Herein, a general powder dusting method has been explored for latent fingerprint development based o...Powder dusting method is the most practically useful approach for latent fingerprint development in the crime scene. Herein, a general powder dusting method has been explored for latent fingerprint development based on aggregation-induced emission luminogens(AIEgens). A series of tetraphenylethene(TPE) derivatives with multiple diphenylamine(DPA), namely, TPE-DPA,TPE-2 DPA and TPE-4 DPA, were selected as candidates to dope with magnetic powders and applied for latent fingerprint development. After screening, the magnetic powder 3 doped with TPE-4 DPA proves to be the best, in terms of fluorescent intensity, resolution and adhesiveness. Afterwards, the magnetic powder 3 was applied for visualization of latent fingerprint on various smooth and porous substrates, including glass, stainless steel, leaf, ceram, plastic bag, lime wall, wood and paper money.Specific details, such as island, core, termination and bifurcation, can be clearly observed for the fluorescent fingerprint images.展开更多
The complex pattern of cancer evolution poses a huge challenge to precision oncology.Longitudinal sequencing of tumor samples allows us to monitor the dynamics of mutations that occurred during this clonal evolution p...The complex pattern of cancer evolution poses a huge challenge to precision oncology.Longitudinal sequencing of tumor samples allows us to monitor the dynamics of mutations that occurred during this clonal evolution process.Here,we present a versatile toolbox,namely CELLO(Cancer EvoLution for Longitudinal data),accompanied with a step-by-step tutorial,to exemplify how to profile,analyze and visualize the dynamic change of somatic mutational landscape using longitudinal genomic sequencing data.Moreover,we customize the hypermutation detection module in CELLO to adapt targeted-DNA and whole-transcriptome sequencing data,and verify the extensive applicability of CELLO in published longitudinal datasets from brain,bladder and breast cancers.The entire tutorial and reusable programs in MATLAB,R and docker versions are open access at https://github.com/WaiigLabHKUST/CELLO.展开更多
基金supported by the Opening Project Fund of Shanghai Key Laboratory of Criminal Scene Evidence (201123417049)the Academician Foundation of the Ministry of Public Security of China (2011-23214203, 23215243, 23317015)+4 种基金Program for Young Innovative Research Team in China University of Political Science and Law (18CXTD09, 16CXTD05)the National Natural Science Foundation of China (21788102)the Research Grants Council of Hong Kong (16308116, C2014-15G, A-HKUST605/16, C6009-17G)the Nissan Chemical Industries Ltd., the AIEgen Biotech Co. Ltd., the Innovation and Technology Commission (ITC-CNERC14SC01)the Science and Technology Plan of Shenzhen (JCY20160229205601482)
文摘Powder dusting method is the most practically useful approach for latent fingerprint development in the crime scene. Herein, a general powder dusting method has been explored for latent fingerprint development based on aggregation-induced emission luminogens(AIEgens). A series of tetraphenylethene(TPE) derivatives with multiple diphenylamine(DPA), namely, TPE-DPA,TPE-2 DPA and TPE-4 DPA, were selected as candidates to dope with magnetic powders and applied for latent fingerprint development. After screening, the magnetic powder 3 doped with TPE-4 DPA proves to be the best, in terms of fluorescent intensity, resolution and adhesiveness. Afterwards, the magnetic powder 3 was applied for visualization of latent fingerprint on various smooth and porous substrates, including glass, stainless steel, leaf, ceram, plastic bag, lime wall, wood and paper money.Specific details, such as island, core, termination and bifurcation, can be clearly observed for the fluorescent fingerprint images.
基金This work is supported by the grants from the National Natural Science Foundation of China(31922088)Research Grant Council(N HKUST606/17,26102719,C7065-18GF,C4039-19GF)+1 种基金Innovation and Technology Commission(ITCPD/17-9,ITS/480/18FP)Hong Kong Branch of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(SMSEGL20SC01).
文摘The complex pattern of cancer evolution poses a huge challenge to precision oncology.Longitudinal sequencing of tumor samples allows us to monitor the dynamics of mutations that occurred during this clonal evolution process.Here,we present a versatile toolbox,namely CELLO(Cancer EvoLution for Longitudinal data),accompanied with a step-by-step tutorial,to exemplify how to profile,analyze and visualize the dynamic change of somatic mutational landscape using longitudinal genomic sequencing data.Moreover,we customize the hypermutation detection module in CELLO to adapt targeted-DNA and whole-transcriptome sequencing data,and verify the extensive applicability of CELLO in published longitudinal datasets from brain,bladder and breast cancers.The entire tutorial and reusable programs in MATLAB,R and docker versions are open access at https://github.com/WaiigLabHKUST/CELLO.
