Microarray transcriptomics analysis of Hutchinson-Gilford progeria genetic disease and the exploitation of dual RNA-seq technology to unveil host-pathogen interaction

Salem Oduro Beffi Sueto

doi:10.18453/rosdok_id00004514

Salem Oduro Beffi Sueto

Microarray transcriptomics analysis of Hutchinson-Gilford progeria genetic disease and the exploitation of dual RNA-seq technology to unveil host-pathogen interaction

Universität Rostock, 2023

https://doi.org/10.18453/rosdok_id00004514

Abstract: The present work uses transcriptomics data from the microarray platform to study the biological imprint of Hutchinson-Gilford progeria syndrome and other senescence processes such as telomere elongation. Literature review of drug repurposing analysis was conducted to find tools that use transcriptomics data as input. RNA-seq technology was used to simultaneously study the gene expression of both the host (human) and the pathogen (S. pyogenes and Influenza A virus). The host expression was used as input for drug repurposing analysis to identify potential drugs for anti-infective treatment.

Dissertation Freier Zugang

Titel:

Microarray transcriptomics analysis of Hutchinson-Gilford progeria genetic disease and the exploitation of dual RNA-seq technology to unveil host-pathogen interaction

Beteiligte Personen:

Salem Oduro Beffi Sueto[VerfasserIn]
	0000-0002-2829-8254
	1315138387
Georg Füllen[AkademischeR BetreuerIn]
	140626085
Micheal Walter[AkademischeR BetreuerIn]
	Institut für Klinische Chemie und Laboratoriumsmedizin, Universität Rostock
Dirk Repsilber[AkademischeR BetreuerIn]
	1065633742
	Functional Bioinformatics, Örebro University, Örebro, Sweden

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universitätsmedizin Rostock[Grad-verleihende Institution]
	1029510660

Zusammenfassung:

The present work uses transcriptomics data from the microarray platform to study the biological imprint of Hutchinson-Gilford progeria syndrome and other senescence processes such as telomere elongation. Literature review of drug repurposing analysis was conducted to find tools that use transcriptomics data as input. RNA-seq technology was used to simultaneously study the gene expression of both the host (human) and the pathogen (S. pyogenes and Influenza A virus). The host expression was used as input for drug repurposing analysis to identify potential drugs for anti-infective treatment. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Universitätsmedizin

Sprache:

Englisch

Sachgruppe der DNB:

000 Allgemeines, Wissenschaft

004 Informatik

610 Medizin, Gesundheit

Veröffentlichung /
Entstehung:

Rostock: Universität Rostock