(→Promoters and DNA topology, towards novel epigenetic engineering) |
(→Promoters and DNA topology, towards novel epigenetic engineering) |
||
Line 1: | Line 1: | ||
{{Team:Paris_Saclay/project_header}} | {{Team:Paris_Saclay/project_header}} | ||
− | ==Promoters and DNA topology, towards novel epigenetic engineering== | + | ===Promoters and DNA topology, towards novel epigenetic engineering=== |
− | '''Introduction.
''' | + | ='''Introduction.
'''= |
Line 21: | Line 21: | ||
− | '''DNA binding proteins.''' | + | ='''DNA binding proteins.'''= |
These DNA binding proteins are able to bind to DNA with different strengths also called affinities. Some proteins bind DNA with the same affinity regardless of the DNA sequence, others can only be recruited by specific sequences. Four mechanisms by which a DNA binding protein finds its target sequence are known: sliding, when the protein slides along DNA [Fig. 3a]; hopping, when the protein unbinds a DNA segment and binds to another one [Fig. 3b]; intersegment transfer, when the protein binds two different segments of DNA before releasing one; and looping, which consists on the binding of two DNA segments leading to a loop (Bustamante 1999, Bondos 2015) [Fig. 3Cd]. Among these, only the one-dimensional sliding is independent of spatial organization in the chromosome, that’s why the structural organization of genomes is very important for transcriptional regulation. | These DNA binding proteins are able to bind to DNA with different strengths also called affinities. Some proteins bind DNA with the same affinity regardless of the DNA sequence, others can only be recruited by specific sequences. Four mechanisms by which a DNA binding protein finds its target sequence are known: sliding, when the protein slides along DNA [Fig. 3a]; hopping, when the protein unbinds a DNA segment and binds to another one [Fig. 3b]; intersegment transfer, when the protein binds two different segments of DNA before releasing one; and looping, which consists on the binding of two DNA segments leading to a loop (Bustamante 1999, Bondos 2015) [Fig. 3Cd]. Among these, only the one-dimensional sliding is independent of spatial organization in the chromosome, that’s why the structural organization of genomes is very important for transcriptional regulation. | ||
Line 27: | Line 27: | ||
[[File:fig3_overview.png|650px|center|]] | [[File:fig3_overview.png|650px|center|]] | ||
− | '''Competition for binding within a cell.''' | + | ='''Competition for binding within a cell.'''= |
These four mechanisms allow for dynamic binding of proteins to their target sequences, despite the fact that these proteins are not present in large concentrations. For example, the number of genes in Escherichia coli is about 5 000 and the number of active RNA polymerases is about 200 per cell, of which only 140 transcribe 2% of the genes leaving 60 polymerases for the other 4995 genes. | These four mechanisms allow for dynamic binding of proteins to their target sequences, despite the fact that these proteins are not present in large concentrations. For example, the number of genes in Escherichia coli is about 5 000 and the number of active RNA polymerases is about 200 per cell, of which only 140 transcribe 2% of the genes leaving 60 polymerases for the other 4995 genes. | ||
Line 35: | Line 35: | ||
That’s why, the link between genome topology and gene regulation is a major research topic in the subject of transcription. Although the mechanism of global gene regulation by changes in DNA organization are well established, the fine tuning of transcription is particularly hard to study and not very well understood. Considering this gap in knowledge, new studies have to be without a priori in order to determine if fine tuning of the DNA topology takes place during transcriptional regulation and if so, how does such regulation work. | That’s why, the link between genome topology and gene regulation is a major research topic in the subject of transcription. Although the mechanism of global gene regulation by changes in DNA organization are well established, the fine tuning of transcription is particularly hard to study and not very well understood. Considering this gap in knowledge, new studies have to be without a priori in order to determine if fine tuning of the DNA topology takes place during transcriptional regulation and if so, how does such regulation work. | ||
− | '''Transcription initiation.''' | + | ='''Transcription initiation.'''= |
Regulation can occur at every step on the pathway to gene expression, but transcription initiation is probably the most frequently regulated step (Haugen 2008). It is the result of 1) the recognition of a promoter by a σ-factor, 2) the recruitment of the other parts of the RNA polymerase, 3) the formation of an open complex, thus the unwinding of DNA from either side of the promoter 4) the beginning of RNA synthesis and finally 5) the release of the σ-factor (Browning 2002) [Fig. 6]. | Regulation can occur at every step on the pathway to gene expression, but transcription initiation is probably the most frequently regulated step (Haugen 2008). It is the result of 1) the recognition of a promoter by a σ-factor, 2) the recruitment of the other parts of the RNA polymerase, 3) the formation of an open complex, thus the unwinding of DNA from either side of the promoter 4) the beginning of RNA synthesis and finally 5) the release of the σ-factor (Browning 2002) [Fig. 6]. | ||
The first step, in which the σ-factor binds to the promoter, can limit the transcription rate. Moreover one σ-factor can lead to the beginning of transcription of a gene, be released and lead to the beginning of the transcription of an other one. That’s why we think that spatially close promoters can act on each others, for example by doubling the number of sequences which can recruit a σ-factor in a certain area. A strong promoter could recruit a σ-factor and after its release, this σ-factor would have a better probability of being recruited to a weaker promoter. Conversely, a strong promoter could have a better chance of recruiting a σ-factor leading to “starving” of the weaker promoters within the same area. | The first step, in which the σ-factor binds to the promoter, can limit the transcription rate. Moreover one σ-factor can lead to the beginning of transcription of a gene, be released and lead to the beginning of the transcription of an other one. That’s why we think that spatially close promoters can act on each others, for example by doubling the number of sequences which can recruit a σ-factor in a certain area. A strong promoter could recruit a σ-factor and after its release, this σ-factor would have a better probability of being recruited to a weaker promoter. Conversely, a strong promoter could have a better chance of recruiting a σ-factor leading to “starving” of the weaker promoters within the same area. | ||
− | '''Question''' | + | ='''Question'''= |
To understand transcriptional regulation, we have to study chromosome topology in 4-dimensions (3D + time) and its effect on the recruitment of DNA binding proteins. In this project, we try to answer to a fundamental question: Are proximal promoters influencing each other’s transcriptional rates? [Fig. 5]. |
To understand transcriptional regulation, we have to study chromosome topology in 4-dimensions (3D + time) and its effect on the recruitment of DNA binding proteins. In this project, we try to answer to a fundamental question: Are proximal promoters influencing each other’s transcriptional rates? [Fig. 5]. | ||
{{Team:Paris_Saclay/project_footer}} | {{Team:Paris_Saclay/project_footer}} |
Revision as of 17:44, 12 September 2016