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5篇 您的检索式:作者名="Igor N F"
    题名 作者 年代 出处 被引量
1A cyber- physical experimentation environment for the security analysis of networked industrial control systems 显示文摘BILA G CHRISTOS S IGOR N F 2012Computers and Electrical Engineering2012,38,5:1
2Critical state-based filtering system for securing SCADA network protocols显示文摘Igor N F Alessio C Andrea C 2012IEEE Transactions on Industrial Eletronics2012,59,10:1
3Chrysomycin: a new antibiotic substance for bacterial viruses显示文摘Frieda S Helen F Igor N A 1954J Bacteriol1954,69,3:1
4State-of- the-art in privacy preserving data mining显示文摘Vassilions S V Elisa B Igor N F 2004ACM SIGMOD Rec2004,33,1:1
5Impact of preoperative antibiotics and other variables on integrated microbiome-host transcriptomic data generated from colorectal cancer resections显示文摘BACKGROUND Integrative multi-omic approaches have been increasingly applied to discovery and functional studies of complex human diseases.Short-term preoperative antibiotics have been adopted to reduce site infections in colorectal cancer(CRC)resections.We hypothesize that the antibiotics will impact analysis of multi-omic datasets generated from resection samples to investigate biological CRC risk factors.AIM To assess the impact of preoperative antibiotics and other variables on integrated microbiome and human transcriptomic data generated from archived CRC resection samples.METHODS Genomic DNA(gDNA)and RNA were extracted from prospectively collected 51 pairs of frozen sporadic CRC tumor and adjacent non-tumor mucosal samples from 50 CRC patients archived at a single medical center from 2010-2020.The 16S rRNA gene sequencing(V3V4 region,paired end,300 bp)and confirmatory quantitative polymerase chain reaction(qPCR)assays were conducted on gDNA.RNA sequencing(IPE,125 bp)was performed on parallel tumor and non-tumor RNA samples with RNA Integrity Numbers scores≥6.RESULTS PERMANOVA detected significant effects of tumor vs nontumor histology(P=0.002)and antibiotics(P=0.001)on microbialβ-diversity,but CRC tumor location(left vs right),diabetes mellitus vs not diabetic and Black/African Ancestry(AA)vs not Black/AA,did not reach significance.Linear mixed models detected significant tumor vs nontumor histology*antibiotics interaction terms for 14 genus level taxa.QPCR confirmed increased Fusobacterium abundance in tumor vs nontumor groups,and detected significantly reduced bacterial load in the(+)antibiotics group.Principal coordinate analysis of the transcriptomic data showed a clear separation between tumor and nontumor samples.Differentially expressed genes obtained from separate analyses of tumor and nontumor samples,are presented for the antibiotics,CRC location,diabetes and Black/AA race groups.CONCLUSION Recent adoption of additional preoperative antibiotics as standard of care,has a measurable impact on-omics analysis of resected specimens.This study still confirmed increased Fusobacterium nucleatum in tumor.Sarah A Malik Chencan Zhu Jinyu Li Joseph F LaComb Paula I Denoya Igor Kravets Joshua D Miller Jie Yang Melissa Kramer W Richard McCombie Charles E Robertson Daniel N Frank Ellen Li 2021World Journal of Gastroenterology2021,27,14:0
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