cDNA Library Generation for the Analysis of Small RNAs by High-Throughput Sequencing

Gebetsberger, Jennifer Viktoria; Fricker, Roger; Polacek, Norbert (2015). cDNA Library Generation for the Analysis of Small RNAs by High-Throughput Sequencing. Methods in molecular biology, 1296, pp. 139-149. Humana Press 10.1007/978-1-4939-2547-6_13

[img] Text
Gebetsberger et al_Meth Mol Biol_2015.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (381kB)
[img]
Preview
Text
Gebetsberger et al_2015_accepted version.pdf - Accepted Version
Available under License Publisher holds Copyright.

Download (391kB) | Preview

The RNome of a cell is highly diverse and consists besides messenger RNAs (mRNAs), transfer RNAs (tRNAs), and ribosomal RNAs (rRNAs) also of other small and long transcript entities without apparent coding potential. This class of molecules, commonly referred to as non-protein-coding RNAs (ncRNAs), is involved in regulating numerous biological processes and thought to contribute to cellular complexity. Therefore, much effort is put into their identification and further functional characterization. Here we provide a cost-effective and reliable method for cDNA library construction of small RNAs in the size range of 20-500 residues. The effectiveness of the described method is demonstrated by the analysis of ribosome-associated small RNAs in the eukaryotic model organism Trypanosoma brucei.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP)

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Gebetsberger, Jennifer Viktoria, Fricker, Roger, Polacek, Norbert

Subjects:

500 Science > 570 Life sciences; biology
500 Science > 540 Chemistry

ISSN:

1064-3745

Publisher:

Humana Press

Language:

English

Submitter:

Christina Schüpbach

Date Deposited:

01 May 2015 10:59

Last Modified:

05 Dec 2022 14:46

Publisher DOI:

10.1007/978-1-4939-2547-6_13

PubMed ID:

25791597

BORIS DOI:

10.7892/boris.67762

URI:

https://boris.unibe.ch/id/eprint/67762

Actions (login required)

Edit item Edit item
Provide Feedback