Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.790734
Title: Bioinformatics approaches to identify pain mediators, novel LncRNAs and distinct modalities of neuropathic pain
Author: Baskozos, G.
ISNI:       0000 0004 8499 024X
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2017
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Abstract:
This thesis presents a number of studies in the general subject of bioinformatics and functional genomics. The studies were made in collaboration with experimental scientists of the London Pain Consortium (LPC), an initiative that has promoted collaborations between experimental and computational scientists to further understanding of pain. The studies are mainly concerned with the molecular biology of pain and deal with data gathered from high throughput technologies aiming to assess the transcriptional changes involved in well induced pain states, both from animal models of pain and human patients. We have analysed next generation sequencing data (NGS data) in order to assess the transcriptional changes in rodent's dorsal root ganglions under well induced pain states. We have also developed a customised computational pipeline to analyse RNA- sequencing data in order to identify novel Long non-coding RNAs (LncRNAs), which may function as mediators of neuropathic pain. Our analyses detected hundreds of novel LncRNAs significantly dysregulated between sham-operated animals and animal models of pain. In addition, in order to gain valuable insights into neuropathic pain, including both its molecular signature, somatosensory profiles and clusters of individuals related to pain severity, we analysed clinical data together with data obtained from quality of life pain-questionnaires. Based on this study, we were able to identify distinct pain modalities associated with the intensity of neuropathic pain. Our results will be useful for the understanding of neuropathic pain and its future treatment.
Supervisor: Orengo, C. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.790734  DOI: Not available
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