Methods for RNA Analysis: Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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Methods for RNA Analysis : Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment . / Olivarius, Signe.

Department of Biology, Faculty of Science, University of Copenhagen, 2014.

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

Harvard

Olivarius, S 2014, Methods for RNA Analysis: Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment . Department of Biology, Faculty of Science, University of Copenhagen. <https://soeg.kb.dk/permalink/45KBDK_KGL/1pioq0f/alma99122455315605763>

APA

Olivarius, S. (2014). Methods for RNA Analysis: Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment . Department of Biology, Faculty of Science, University of Copenhagen. https://soeg.kb.dk/permalink/45KBDK_KGL/1pioq0f/alma99122455315605763

Vancouver

Olivarius S. Methods for RNA Analysis: Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment . Department of Biology, Faculty of Science, University of Copenhagen, 2014.

Author

Olivarius, Signe. / Methods for RNA Analysis : Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment . Department of Biology, Faculty of Science, University of Copenhagen, 2014.

Bibtex

@phdthesis{d5aedf4fc019403ba1439d33a88bf81a,
title = "Methods for RNA Analysis: Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment ",
abstract = "While increasing evidence appoints diverse types of RNA as key players in the regulatory networks underlying cellular differentiation and metabolism, the potential functions of thousands of conserved RNA structures encoded in mammalian genomes remain to be determined. Since the functions of most RNAs rely on interactions with proteins, the establishment of protein-binding profiles is essential for the characterization of RNAs. Aiming to facilitate RNA analysis, this thesis introduces proteomics- as well as transcriptomics-based methods for the functional characterization of RNA. First, RNA-protein pulldown combined with mass spectrometry analysis is applied for in vivo as well as in vitro identification of RNA-binding proteins, the latter succeeding in verifying known RNA-protein interactions. Secondly, acknowledging the significance of flexible promoter usage for the diversification of the transcriptome, 5{\textquoteright} end capture of RNA is combined with next-generation sequencing for high-throughput quantitative assessment of transcription start sites by two different methods. The methods presented here allow for functional investigation of coding as well as noncoding RNA and contribute to future illumination of the diverse roles and significance of RNA.",
author = "Signe Olivarius",
year = "2014",
language = "English",
publisher = "Department of Biology, Faculty of Science, University of Copenhagen",

}

RIS

TY - BOOK

T1 - Methods for RNA Analysis

T2 - Functional Investigation of RNA by Interaction Proteomics and High-throughput Transcription Start Site Assessment

AU - Olivarius, Signe

PY - 2014

Y1 - 2014

N2 - While increasing evidence appoints diverse types of RNA as key players in the regulatory networks underlying cellular differentiation and metabolism, the potential functions of thousands of conserved RNA structures encoded in mammalian genomes remain to be determined. Since the functions of most RNAs rely on interactions with proteins, the establishment of protein-binding profiles is essential for the characterization of RNAs. Aiming to facilitate RNA analysis, this thesis introduces proteomics- as well as transcriptomics-based methods for the functional characterization of RNA. First, RNA-protein pulldown combined with mass spectrometry analysis is applied for in vivo as well as in vitro identification of RNA-binding proteins, the latter succeeding in verifying known RNA-protein interactions. Secondly, acknowledging the significance of flexible promoter usage for the diversification of the transcriptome, 5’ end capture of RNA is combined with next-generation sequencing for high-throughput quantitative assessment of transcription start sites by two different methods. The methods presented here allow for functional investigation of coding as well as noncoding RNA and contribute to future illumination of the diverse roles and significance of RNA.

AB - While increasing evidence appoints diverse types of RNA as key players in the regulatory networks underlying cellular differentiation and metabolism, the potential functions of thousands of conserved RNA structures encoded in mammalian genomes remain to be determined. Since the functions of most RNAs rely on interactions with proteins, the establishment of protein-binding profiles is essential for the characterization of RNAs. Aiming to facilitate RNA analysis, this thesis introduces proteomics- as well as transcriptomics-based methods for the functional characterization of RNA. First, RNA-protein pulldown combined with mass spectrometry analysis is applied for in vivo as well as in vitro identification of RNA-binding proteins, the latter succeeding in verifying known RNA-protein interactions. Secondly, acknowledging the significance of flexible promoter usage for the diversification of the transcriptome, 5’ end capture of RNA is combined with next-generation sequencing for high-throughput quantitative assessment of transcription start sites by two different methods. The methods presented here allow for functional investigation of coding as well as noncoding RNA and contribute to future illumination of the diverse roles and significance of RNA.

UR - https://soeg.kb.dk/permalink/45KBDK_KGL/1pioq0f/alma99122455315605763

M3 - Ph.D. thesis

BT - Methods for RNA Analysis

PB - Department of Biology, Faculty of Science, University of Copenhagen

ER -

ID: 122442467