Differential Transcriptome Profiling for Identification of Cellulose Degrading Enzymes in Ctenolepisma longicaudata

Ratnasri Pothula; Brian R. Johnson; William E. Klingeman; Matthew Huff; Margaret E. Staton; Juan Luis Jurat-Fuentes

Differential Transcriptome Profiling for Identification of Cellulose Degrading Enzymes in Ctenolepisma longicaudata

Ratnasri Pothula, Brian R. Johnson, William E. Klingeman, Matthew Huff, Margaret E. Staton, Juan Luis Jurat-Fuentes

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Whole-transcriptome shotgun sequencing, or RNA-seq, is a next-generation sequencing technique that enables quantitative determination of total transcripts present to serve as a proxy for the level of expression of the corresponding gene in a cell, tissue, or whole organism (Wang et al., 2009). Compared with microarrays and other hybridization-based approaches, RNA-seq does not suffer from cross-hybridization bias and is not limited by availability of genomic resources for the organism studied (Ekblom and Galindo, 2011), making this technique very attractive in studying non-model organisms for which genomic data are scarce.

Original language	English (US)
Title of host publication	Transcriptomics in Entomological Research
Publisher	CABI International
Pages	136-163
Number of pages	28
ISBN (Electronic)	9781789243147
ISBN (Print)	9781789243130
State	Published - Jan 1 2019
Externally published	Yes

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AU - Pothula, Ratnasri

AU - Johnson, Brian R.

AU - Klingeman, William E.

AU - Huff, Matthew

AU - Staton, Margaret E.

AU - Jurat-Fuentes, Juan Luis

PY - 2019/1/1

Y1 - 2019/1/1

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AB - Whole-transcriptome shotgun sequencing, or RNA-seq, is a next-generation sequencing technique that enables quantitative determination of total transcripts present to serve as a proxy for the level of expression of the corresponding gene in a cell, tissue, or whole organism (Wang et al., 2009). Compared with microarrays and other hybridization-based approaches, RNA-seq does not suffer from cross-hybridization bias and is not limited by availability of genomic resources for the organism studied (Ekblom and Galindo, 2011), making this technique very attractive in studying non-model organisms for which genomic data are scarce.

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M3 - Chapter

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BT - Transcriptomics in Entomological Research

PB - CABI International

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Differential Transcriptome Profiling for Identification of Cellulose Degrading Enzymes in Ctenolepisma longicaudata

Abstract

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