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dc.contributor.advisorMelissa J. Moore
dc.contributor.authorLimoncelli, Kelly A.
dc.date2022-08-11T08:08:46.000
dc.date.accessioned2022-08-23T16:07:51Z
dc.date.available2022-08-23T16:07:51Z
dc.date.issued2017-12-18
dc.date.submitted2018-01-13
dc.identifier.doi10.13028/M2MM5T
dc.identifier.urihttp://hdl.handle.net/20.500.14038/32329
dc.description.abstractThe translation of mRNA into functional proteins is essential for all life. In eukaryotes, aberrant RNAs containing sequence features that stall or severely slow down ribosomes are subject to translation-dependent quality control. Targets include mRNAs encoding a strong secondary structure (No-Go Decay; NGD) or stretches of positively-charged amino acids (Peptide-dependent Translation Arrest/Ribosome Quality Control; PDTA/RQC), mRNAs lacking an in-frame stop codon (Non-Stop Decay; NSD), or defective 18S rRNAs (18S Nonfunctional rRNA Decay; 18S NRD). Previous work from our lab showed that the S. cerevisiae NGD factors DOM34 and HBS1, and PDTA/RQC factor ASC1, all participate in the kinetics of 18S NRD. Upon further investigation of 18S NRD, our research revealed the critical role of ribosomal protein S3 (RPS3), thus adding to the emerging evidence that the ribosome senses its own translational status. While aberrant mRNAs mentioned above can occur endogenously, damaging agents, such as oxidative stress or UV irradiation, can negatively affect the chemical integrity of RNA. Such lesions could lead to translation errors and ribosome stalling. However, current tools to monitor the fate of damaged RNA are quite limited and only provide a low-resolution picture. Therefore, we sought to develop a deep-sequencing method to detect damaged RNA, taking advantage of reverse transcriptase's ability to insert a mutation across a damaged site. Using oxidized RNA as a model damaged RNA, our preliminary data showed increased G>T mutations in oxidized RNA. This method provides the foundation for future work aimed at understanding how cells deal with damaged RNA.
dc.language.isoen_US
dc.rightsLicensed under a Creative Commons license
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbiochemistry
dc.subjectdeep-sequencing
dc.subjectneurodegenerative disease
dc.subjectquality control
dc.subjectribosome
dc.subjectRNA biology
dc.subjectRNA damage
dc.subjectRNA-Seq
dc.subjectstructural biology
dc.subjecttranslation
dc.subjectyeast
dc.subjectBiochemistry
dc.subjectBioinformatics
dc.subjectGenetics
dc.subjectMolecular Biology
dc.subjectNucleic Acids, Nucleotides, and Nucleosides
dc.subjectStructural Biology
dc.titleIdentification of Factors Involved in 18S Nonfunctional Ribosomal RNA Decay and a Method for Detecting 8-oxoguanosine by RNA-Seq
dc.typeDoctoral Dissertation
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1951&context=gsbs_diss&unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/gsbs_diss/945
dc.legacy.embargo2018-01-13T00:00:00-08:00
dc.identifier.contextkey11361525
refterms.dateFOA2022-08-24T04:01:42Z
html.description.abstract<p>The translation of mRNA into functional proteins is essential for all life. In eukaryotes, aberrant RNAs containing sequence features that stall or severely slow down ribosomes are subject to translation-dependent quality control. Targets include mRNAs encoding a strong secondary structure (No-Go Decay; NGD) or stretches of positively-charged amino acids (Peptide-dependent Translation Arrest/Ribosome Quality Control; PDTA/RQC), mRNAs lacking an in-frame stop codon (Non-Stop Decay; NSD), or defective 18S rRNAs (18S Nonfunctional rRNA Decay; 18S NRD). Previous work from our lab showed that the <em>S. cerevisiae</em> NGD factors <em>DOM34</em> and <em>HBS1</em>, and PDTA/RQC factor <em>ASC1</em>, all participate in the kinetics of 18S NRD. Upon further investigation of 18S NRD, our research revealed the critical role of ribosomal protein S3 (<em>RPS3</em>), thus adding to the emerging evidence that the ribosome senses its own translational status.</p> <p>While aberrant mRNAs mentioned above can occur endogenously, damaging agents, such as oxidative stress or UV irradiation, can negatively affect the chemical integrity of RNA. Such lesions could lead to translation errors and ribosome stalling. However, current tools to monitor the fate of damaged RNA are quite limited and only provide a low-resolution picture. Therefore, we sought to develop a deep-sequencing method to detect damaged RNA, taking advantage of reverse transcriptase's ability to insert a mutation across a damaged site. Using oxidized RNA as a model damaged RNA, our preliminary data showed increased G>T mutations in oxidized RNA. This method provides the foundation for future work aimed at understanding how cells deal with damaged RNA.</p>
dc.identifier.submissionpathgsbs_diss/945
dc.contributor.departmentRNA Therapeutics Institute
dc.description.thesisprogramNeuroscience
dc.identifier.orcid0000-0002-7288-1527


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