University of Groningen
Advancing transcriptome analysis in models of disease and ageing
de Jong, Tristan Vincent
DOI:
10.33612/diss.99203371
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Publication date:
2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
de Jong, T. V. (2019). Advancing transcriptome analysis in models of disease and ageing. Rijksuniversiteit
Groningen. https://doi.org/10.33612/diss.99203371
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Propositions
belonging to the PhD thesis:Advancing transcriptome analysis in
models of disease and ageing
Tristan de Jong Groningen, October 28th 2019
1) Exploring inter-individual variation in gene expression next to changes in the average expression will lead to new discoveries on the processes underlying disease and ageing. – Chapter 2 2) Non-coding RNA, unannotated genes, and alternative exon usage
are very informative but are often left behind in modern transcriptome analysis. – Chapter 3
3) Several hallmarks of ageing can be measured on the DNA level through analysis of whole genome sequencing data. – Chapter 6 4) The degree of variability in the expression of a gene is to a large
extent encoded in its DNA sequence. – Chapter 7
5) Age specific changes and changes in lifestyle can change the robustness of gene expression. – Chapters 4 and 8
6) A man was looking beneath a streetlight for a penny, when asked he said: “I lost it over there in the dark, but I look for it here because I can only find it when ground is lit” – an old Russian joke
7) “Life never gets any easier, we just get better at it” – Peter de Jong
8) “You can't get to the moon by climbing successively taller trees” - Mo's law of evolutionary development
