@@ -66,10 +66,10 @@ \subsection{Regulation of \abbr{trna} gene expression}
6666Although \trna [s] have a “canonical” role — to act as adapters in the process of
6767translation — this of course does not preclude other roles. In fact, there is
6868evidence that ties \trna -derived fragments to different regulatory roles. As
69- mentioned in the introduction, about ten per cent of the bases in the \trna [s]
70- transcript are post-transcriptionally modified. Some of these modifications
71- impact the stability of the transcript. For example, it is known that
72- cytosine-\num {5} methylation in the anticodon loop of \trna [s], which is
69+ mentioned in the introduction, about ten per cent of the bases in a typical
70+ \trna [’s] transcript are post-transcriptionally modified. Some of these
71+ modifications impact the stability of the transcript. For example, it is known
72+ that cytosine-\num {5} methylation in the anticodon loop of \trna [s], which is
7373prevalent in actively transcribed \trna [s], inhibits endonucleolytic cleavage.
7474Absence of this methylation leads to cleavage and the accumulation of \threep
7575and \fivep fragments \citep {Thompson:2008 }. Furthermore, there is evidence that
@@ -78,32 +78,33 @@ \subsection{Regulation of \abbr{trna} gene expression}
7878
7979But not only the \fivep fragment of \trna [s] is catalytically active: the
8080\threep ends of specific \trna [s] have been shown to act as primers for the
81- transcription of endogenous retroviruses such as \hivi \citep {Litvak:1994 } in a
82- highly sequence-specific manner. In general, the expression of such retroviruses
83- is detrimental for the cell and, by implication, excess abundance of specific
84- \trna -derived fragments affects the cell’s fitness negatively. This exerts a
85- selective pressure to evolve a mechanism for suppressing such fragments. One way
86- of depleting their abundance is to downregulate the expression of originator\todo {ugly, better word?}
87- \trna genes in response to the detection of excess \trna fragments.
81+ transcription of endogenous retroviruses such as \hivi in a highly
82+ sequence-specific manner \citep {Litvak:1994 }. In general, the expression of such
83+ retroviruses is detrimental for the cell and, by implication, excess abundance
84+ of specific \trna -derived fragments affects the cell’s fitness negatively. This
85+ exerts a selective pressure to evolve a mechanism for suppressing the expression
86+ of such fragments. One way of depleting their abundance is to downregulate the
87+ expression of the \trna genes from which they are derived in response to the
88+ detection of excess \trna fragments.
8889
8990In sum, the regulatory role of \trna transcripts adds another dimension to the
9091need for the regulation of their abundance. In fact, the dependence on specific
9192enzymes (such as \protein {mmu}{NSUN2} in mouse) to methylate \trna [s], and thus
9293to ensure their stability hints at the fundamental importance of preventing the
9394formation of excess \trna -derived fragments \citep {Blanco:2014 }.
9495
95- The precise mechanism of the \trna gene expression regulation remains unclear.
96- Corroborating previous reports \citep {Oler:2010 }, I have found some evidence
97- that \trna gene activity correlates with specific histone marks. However, it is
98- unclear whether this is a cause or a consequence of differential regulation, and
99- it is insufficient to account for differences in the expression of \trna genes
100- in close vicinity. Furthermore, there is so far no mechanism for the dynamic
101- feedback necessary for effecting the compensatory effect between genes in an
102- isoacceptor family.
96+ The precise mechanisms that regulate the expression of \trna genes remain
97+ unclear. Corroborating previous reports \citep {Oler:2010 }, I have found some
98+ evidence that \trna gene activity correlates with specific histone marks.
99+ However, it is unclear whether this is a cause or a consequence of differential
100+ regulation, and it is insufficient to account for differences in the expression
101+ of \trna genes in close vicinity. Furthermore, there is so far no mechanism for
102+ the dynamic feedback necessary for effecting the compensatory effect between
103+ genes in an isoacceptor family.
103104
104105\subsection {Absence of evidence for codon bias-dependent translation efficiency in mammals }
105106
106- Despite the existence of larger variations in codon usage between subsets of
107+ Despite the existence of large variations in codon usage between subsets of
107108genes, some of which are cell type specific, I was unable to find evidence for a
108109regulatory effect of this codon bias on translation rates via higher adaptation
109110to a cell type specific \trna anticodon isoacceptor pool in mammals. On the
@@ -114,10 +115,10 @@ \subsection{Absence of evidence for codon bias-dependent translation efficiency
114115if present at all, plays a negligible role in mammalian systems. It will be
115116interesting to see how this controversy will unfold.
116117
117- If true, this implies that codon bias has not conserved the regulatory role it
118- plays in unicellular organisms of all domains of life \colorbox {yellow}{REF},
119- where it is well established that codon bias influences translation efficiency
120- to control gene-specific expression levels. Why would this central role of codon
118+ If true, this implies that, in mammals, codon bias has not conserved the
119+ regulatory role it plays in unicellular organisms \colorbox {yellow}{REF}, where
120+ it is well established that codon bias influences translation efficiency to
121+ control gene-specific expression levels. Why would this central role of codon
121122bias be present in unicellular organisms but not in complex multicellular
122123animals? The following is an attempt at an explanation.
123124
@@ -149,10 +150,10 @@ \subsection{Absence of evidence for codon bias-dependent translation efficiency
149150
150151I suggest that these two factors — the relatively higher complexity of
151152transcriptional regulation in mammals, and the higher impact of variation in
152- \trna gene transcription on variation in
153- \trna availability and thus on translation efficiency in unicellular organisms —
154- is sufficient to explain the results we observe here as well as established
155- results reported in the literature.
153+ \trna gene transcription on variation in \trna availability and thus on
154+ translation efficiency in unicellular organisms — are sufficient to explain the
155+ results we observe here as well as established results reported in the
156+ literature.
156157
157158At the end of the project outlined in \cref {sec:codons }, I have started
158159exploring other potential sources of the cell type-specific codon bias observed
@@ -168,7 +169,7 @@ \subsection{The extended \abbr{pol3} transcriptome}
168169The \pol 3 \chipseq data generated for the projects presented in this thesis
169170provides a wealth of information beyond just \trna gene activity.
170171\Cref {sec:pol3 } takes a brief glimpse at genome-wide \pol 3 binding and confirms
171- that \pol 3 binding can be used to assess gene activity of genes with known
172+ that \pol 3 binding can be used to assess the activity of genes with known
172173\pol 3-driven transcription.
173174
174175In particular, I was able to assess binding of \pol 3 to the promoter region of
@@ -206,7 +207,7 @@ \subsection{Codon usage adaptation}
206207subsets of the transcriptome remains wide open. \gc bias, in particular, is
207208worth exploring further. On the one hand, I observed a robust correlation
208209between \gc bias and codon usage, and we know that codon usage can sometimes be
209- predicted from intergenic \gc bias \citep {Chen:2004 }. On the other hand,
210+ predicted from intergenic \gc content \citep {Chen:2004 }. On the other hand,
210211\citet {Duret:2002 } show that, at least in \species {dmel} and \species {cel}, \gc
211212bias is uncorrelated with codon usage bias.
212213
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