From Genome to Proteome: Transcriptional and Proteomic Analysis of Cryptosporidium Parasites
作者： Jonathan M. Wastling , Nadine P. Randle
DOI: 10.1007/978-3-7091-1562-6_7
关键词:
摘要: The ability to generate large-scale transcriptome and proteome datasets has changed the landscape in parasite biology. These data enable an integrated, whole organism approach understanding how parasites function interact with their hosts. difficulty propagating Cryptosporidium means that work focused on oocyst sporozoite stages of parasite. Transcriptional studies using expressed sequence tags (ESTs), microarrays quantitative real-time PCR (qRT-PCR) have given a valuable insight into both host cells respond infection. In addition, global proteomics analyses characterised proteomes oocysts sporozoites C. parvum. Currently, research is lagging behind some other pathogens terms ‘omics’ analyses. However, there been significant technological bioinformatics advances recent years, which are set continue. Exploiting these technologies capitalising resulting “systems-biology” mean exciting times ahead field
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sci-hub.st 参考文章(50)
Yian A Chen, David J Mckillen, Shuyuan Wu, Matthew J Jenny, Robert Chapman, Paul S Gross, Gregory W Warr, Jonas S Almeida, Optimal cDNA microarray design using expressed sequence tags for organisms with limited genomic information BMC Bioinformatics. ,vol. 5, pp. 191- 191 ,(2004) , 10.1186/1471-2105-5-191
David A. Elliott, Daniel J. Coleman, Michael A. Lane, Robin C. May, Laura M. Machesky, Douglas P. Clark, Cryptosporidium parvum infection requires host cell actin polymerization. Infection and Immunity. ,vol. 69, pp. 5940- 5942 ,(2001) , 10.1128/IAI.69.9.5940-5942.2001
W. Current, T. Haynes, Complete development of Cryptosporidium in cell culture Science. ,vol. 224, pp. 603- 605 ,(1984) , 10.1126/SCIENCE.6710159
N.S Hijjawi, B.P Meloni, U.M Morgan, R.C.A Thompson, Complete development and long-term maintenance of Cryptosporidium parvum human and cattle genotypes in cell culture International Journal for Parasitology. ,vol. 31, pp. 1048- 1055 ,(2001) , 10.1016/S0020-7519(01)00212-0
Haili Zhang, Fengguang Guo, Huaijun Zhou, Guan Zhu, Transcriptome analysis reveals unique metabolic features in the Cryptosporidium parvum Oocysts associated with environmental survival and stresses. BMC Genomics. ,vol. 13, pp. 647- 647 ,(2012) , 10.1186/1471-2164-13-647
Zhong Wang, Mark Gerstein, Michael Snyder, RNA-Seq: a revolutionary tool for transcriptomics Nature Reviews Genetics. ,vol. 10, pp. 57- 63 ,(2009) , 10.1038/NRG2484
David N. Perkins, Darryl J. C. Pappin, David M. Creasy, John S. Cottrell, Probability-based protein identification by searching sequence databases using mass spectrometry data. Electrophoresis. ,vol. 20, pp. 3551- 3567 ,(1999) , 10.1002/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2
Elizabeth Bromley, Nicola Leeds, Julie Clark, Emma McGregor, Malcolm Ward, Michael J. Dunn, Fiona Tomley, Defining the protein repertoire of microneme secretory organelles in the apicomplexan parasite Eimeria tenella Proteomics. ,vol. 3, pp. 1553- 1561 ,(2003) , 10.1002/PMIC.200300479
N.S Hijjawi, B.P Meloni, U.M Ryan, M.E Olson, R.C.A Thompson, Successful in vitro cultivation of Cryptosporidium andersoni: evidence for the existence of novel extracellular stages in the life cycle and implications for the classification of Cryptosporidium. International Journal for Parasitology. ,vol. 32, pp. 1719- 1726 ,(2002) , 10.1016/S0020-7519(02)00199-6
Achchuthan Shanmugasundram, Faviel F. Gonzalez-Galarza, Jonathan M. Wastling, Olga Vasieva, Andrew R. Jones, Library of Apicomplexan Metabolic Pathways: a manually curated database for metabolic pathways of apicomplexan parasites Nucleic Acids Research. ,vol. 41, pp. 706- 713 ,(2013) , 10.1093/NAR/GKS1139