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肝片吸虫感染期间基因表达谱的时间进程研究:一项基于微阵列的研究。

Time-course investigation of the gene expression profile during Fasciola hepatica infection: A microarray-based study.

作者信息

Rojas-Caraballo Jose, López-Abán Julio, Fernández-Soto Pedro, Vicente Belén, Collía Francisco, Muro Antonio

机构信息

Centro de Investigación en Salud para el Trópico (CIST), Carretera Troncal del Caribe, Sector Mamatoco, Santa Marta, Magdalena, Colombia ; Facultad de Medicina, Universidad Cooperativa de Colombia, Carretera Troncal del Caribe, Sector Mamatoco, Santa Marta, Magdalena, Colombia.

Instituto de Investigación Biomédica de Salamanca - Centro de Investigación de Enfermedades Tropicales de la Universidad de Salamanca (IBSAL-CIETUS), Facultad de Farmacia, Universidad de Salamanca, Salamanca, Castilla y León, Spain.

出版信息

Genom Data. 2015 Aug 22;6:89-91. doi: 10.1016/j.gdata.2015.08.020. eCollection 2015 Dec.

DOI:10.1016/j.gdata.2015.08.020
PMID:26697343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4664735/
Abstract

Fasciolosis is listed as one of the most important neglected tropical diseases according with the World Health Organization and is also considered as a reemerging disease in the human beings. Despite there are several studies describing the immune response induced by Fasciola hepatica in the mammalian host, investigations aimed at identifying the expression profile of genes involved in inducing hepatic injury are currently scarce. Data presented here belong to a time-course investigation of the gene expression profile in the liver of BALB/c mice infected with F. hepatica metacercariae at 7 and 21 days after experimental infection. The data published here have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE69588, previously published by Rojas-Caraballo et al. (2015) in PLoS One [1].

摘要

根据世界卫生组织的定义,片形吸虫病被列为最重要的被忽视热带病之一,并且也被认为是一种在人类中重新出现的疾病。尽管有多项研究描述了肝片吸虫在哺乳动物宿主中诱导的免疫反应,但目前旨在鉴定参与诱导肝损伤的基因表达谱的研究仍然很少。此处呈现的数据属于对感染肝片吸虫囊蚴的BALB/c小鼠肝脏在实验感染后7天和21天的基因表达谱进行的时间进程研究。此处发表的数据已存入NCBI的基因表达综合数据库,可通过GEO系列登录号GSE69588获取,该登录号先前由Rojas-Caraballo等人于2015年发表在《公共科学图书馆·综合》[1]上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60bb/4664735/199766fb57e5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60bb/4664735/199766fb57e5/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60bb/4664735/199766fb57e5/gr1.jpg

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本文引用的文献

1
Gene Expression Profile in the Liver of BALB/c Mice Infected with Fasciola hepatica.感染肝片吸虫的BALB/c小鼠肝脏中的基因表达谱
PLoS One. 2015 Aug 6;10(8):e0134910. doi: 10.1371/journal.pone.0134910. eCollection 2015.
2
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling.巴别塔组学:一个整合的平台,用于分析转录组学、蛋白质组学和基因组数据,并具有先进的功能分析。
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W210-3. doi: 10.1093/nar/gkq388. Epub 2010 May 16.
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Multidimensional gene set analysis of genomic data.
基因组数据的多维基因集分析。
PLoS One. 2010 Apr 27;5(4):e10348. doi: 10.1371/journal.pone.0010348.
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LRpath: a logistic regression approach for identifying enriched biological groups in gene expression data.LRpath:一种用于识别基因表达数据中富集生物组的逻辑回归方法。
Bioinformatics. 2009 Jan 15;25(2):211-7. doi: 10.1093/bioinformatics/btn592. Epub 2008 Nov 27.
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Exploration, normalization, and summaries of high density oligonucleotide array probe level data.高密度寡核苷酸阵列探针水平数据的探索、标准化及汇总
Biostatistics. 2003 Apr;4(2):249-64. doi: 10.1093/biostatistics/4.2.249.
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A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.基于方差和偏差的高密度寡核苷酸阵列数据标准化方法比较
Bioinformatics. 2003 Jan 22;19(2):185-93. doi: 10.1093/bioinformatics/19.2.185.
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Controlling the false discovery rate in behavior genetics research.控制行为遗传学研究中的错误发现率
Behav Brain Res. 2001 Nov 1;125(1-2):279-84. doi: 10.1016/s0166-4328(01)00297-2.