TY - CHAP
T1 - Surveying entamoeba histolytica transcriptome using massively parallel cDNA sequencing
AU - Hon, Chung Chau
AU - Weber, Christian
AU - Koutero, Mikael
AU - Deloger, Marc
AU - Coppee, Jean Yves
AU - Guillen, Nancy
N1 - Publisher Copyright:
© Springer Japan 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Massively parallel cDNA sequencing, known as RNA-Seq, is a recently developed approach to interrogate transcriptomes. Its rapid and ongoing development promises to revolutionize transcriptomics over the next decade. In this chapter, we first review the transcriptome research of Entamoeba histolytica during the past 25 years in retrospect: From cDNA library screening in the 1980s to the latest RNA- Seq analyses. Then, we share our experiences on applying RNA-Seq to the Entamoeba transcriptome, aiming to provide useful caveats and tips. Next, we summarize the results of our latest RNA-Seq analyses of E. histolytica, including identification of unannotated transcripts, revision of existing gene models, reconstruction of alternative isoforms, and quantification of stochastic noise in splicing and polyadenylation. Finally, we outline a number of advanced applications of RNA-Seq that could potentially be applied to E. histolytica, hoping to shed light on the future directions of Entamoeba transcriptomics.
AB - Massively parallel cDNA sequencing, known as RNA-Seq, is a recently developed approach to interrogate transcriptomes. Its rapid and ongoing development promises to revolutionize transcriptomics over the next decade. In this chapter, we first review the transcriptome research of Entamoeba histolytica during the past 25 years in retrospect: From cDNA library screening in the 1980s to the latest RNA- Seq analyses. Then, we share our experiences on applying RNA-Seq to the Entamoeba transcriptome, aiming to provide useful caveats and tips. Next, we summarize the results of our latest RNA-Seq analyses of E. histolytica, including identification of unannotated transcripts, revision of existing gene models, reconstruction of alternative isoforms, and quantification of stochastic noise in splicing and polyadenylation. Finally, we outline a number of advanced applications of RNA-Seq that could potentially be applied to E. histolytica, hoping to shed light on the future directions of Entamoeba transcriptomics.
UR - http://www.scopus.com/inward/record.url?scp=84943639988&partnerID=8YFLogxK
U2 - 10.1007/978-4-431-55200-0_7
DO - 10.1007/978-4-431-55200-0_7
M3 - Chapter
AN - SCOPUS:84943639988
SN - 9784431551997
SP - 99
EP - 117
BT - Amebiasis
PB - Springer Japan
ER -