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KI Open Archive
Thesis . 2020
License: "In Copyright" Rights Statement
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Coordination of gene expression programs

Authors: Lorent, Julie;

Coordination of gene expression programs

Abstract

Most cellular processes depend on the activity and interactions of proteins. The proteome, i.e. the entire set of proteins in a specific condition, is shaped by regulation of transcription, mRNA-degradation, -processing, -storage, -translation and protein degradation. Cancer cells are known to highjack gene expression processes, including the translation machinery, for their growth and survival. This occurs as a result of converging oncogenic signaling pathways which impinge on translation factors to selectively modulate synthesis of cancer-related proteins. Our understanding of mechanisms by which oncogenic pathways dynamically control their targets' translational activity is limited and could be extended by transcriptome-wide studies of changes in translation efficiency. In Paper I, we developed anota2seq which allows for statistical analysis of such data. Using a simulation approach, we showed that anota2seq constitutes an improvement compared to other methods for identification of genes under translational regulation. The relative contribution of transcriptional and translational regulation to proteome modulation has been extensively debated. This raises the interest in studies integrating data on multiple levels of gene expression regulation. In Paper II, we study the role of estrogen receptor alpha (ERα), a transcription factor that is commonly targeted in hormone-dependent cancers, in coordinating transcriptional alterations with control at the level of translation. Upon ERα depletion in a prostate cancer model, we observed massive translational offsetting whereby the translational output remains unchanged despite changes in mRNA levels. To characterize mechanisms underlying translational offsetting, we extended the scope of the anota2seq method (Paper I) to also identify genes regulated by this underappreciated mode of gene expression regulation. Next, our detailed mechanistic study revealed that upon ERα depletion, mRNAs whose levels are reduced but translationally offset have less structured 5'UTRs and ...

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Sweden
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Keywords

570, Thesis, 500

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research