Each human cell is created after genetic information stored in DNA, which contains 12 billion DNA bases. These have to be maintained intact the whole life and they have to be properly copied during development. Even an adult has to replicate billions of bases every day (e.g...
Each human cell is created after genetic information stored in DNA, which contains 12 billion DNA bases. These have to be maintained intact the whole life and they have to be properly copied during development. Even an adult has to replicate billions of bases every day (e.g. for cell renewal in intestine or skin). However, replication is constantly perturbed, and errors occur. This can drive evolution, but at the same time replication errors cause genetic instability, which can lead to numerous diseases like cancer, and numerous neurological, neurodegenerative and neuromuscular disorders.
My research proposal addressed a specific mechanism of replication-dependent genetic instability. Replication forks (RFs) copy all DNA and they can get stalled by different obstacles like for example DNA-bound proteins (as in Fig.1). The RF encountering a barrier on DNA might be resolved by one of the following three strategies: (i) Stabilisation of stalled RFs allows to wait for the rescue by (ii) an adjacent converging RF. Low numbers of converging RF are present in common fragile sites, which are frequent sites of rearrangement in cancer, and are particularly sensitive. (iii) Therefore, cells have developed a mechanism to form a new RF and restart the stalled RF (Fig.1: Scheme showing how stalled replication fork can be resolved).
The restart represents a solution for these regions, but at a cost. The restarted RF is error prone, but the cell does not lose precious genetic information as we showed in Marie Curie funded project. We used a model protein barrier (called “RTS1â€), which leads to the restart of the stalled RF. The overall objective was to understand how the cell deals with such a challenging situation. How does it restart? What precedes the restart? Where is the restarted RF formed? How far can the restarted RF travel?
The data in the project contributes to our knowledge how cells cope with fragile and difficult to replicate regions. This will ultimately allow the design of a new generation of drugs which can be exploited in cancer treatment as well as in prevention to several diseases.
Within the project, we studied the restart of the replication fork (RF) at several barriers represented by a protein barrier and difficult to replicate G-quadruplex secondary DNA structures (G4s). For this purpose, we decided to use two complementary approaches: (1) Polymerase usage assay (Pu-seq) developed in our team, which allows us to follow DNA replication in vivo and (2) Chromatin Immunoprecipitation (ChIP) which detects recruitment of proteins to sites of interests.
Exploiting the techniques mentioned above, we have achieved the following results:
1) The newly formed RF travels over long region which allows us to study restarted RF. Around 50% of the restarted RF replicates 12 kb where they terminate with convergent canonical RF.
2) Restarted RF is more efficient in the removal of protein barriers than canonical RF.
3) When the RF stalls, the lagging strand is resected in order to generate a 3’-end for homologous recombination dependent restart. The resection is increased in a strain that has lost the DNA repair protein Ku70 (pKu70-). However, the leading strand is not degraded in pKu70- as well as in the wild type (pKu70+).
4) The restarted RF does not use the primase activity of Pol alpha.
5) We showed that interaction of PCNA with Cdc27 is not important for DNA polymerase (Pol) usage after the restart at RTS1, but instead may be important for its fidelity.
6) We observed substantial accumulation of DNA repair proteins Rad52 and Rpa3 close after the restart and a gradual decrease of both Rad52 and Rpa3
7) We demonstrated that accumulation of DNA polymerase Pol epsilon and the fork protection complex. Both accumulated before the restart site.
8) We explored the RTS1 model barrier and other DNA barriers as well. Initially, we wanted to use the ribosomal replication barrier to slow down the convergent replication fork. This would allow us to preserve the restarted RF for a longer period of time as the convergent canonical fork will be delayed. Nevertheless, we were surprised how inefficient rDNA barriers are in according to our Pu-seq analysis visualising DNA replication in millions of cells.
9) We studied the potential of G-quadruplex (G4) to stall DNA replication forks. Again, the effect on overall replication was negligible but in mutational assays we clearly see a tenfold increase when G4 is present.
10) In the end, I would like to stress that we established a collaboration with a French team at CRCM in Marseille, France, to study the effect of the telomeric CST complex on DNA replication genome-wide. We can clearly show that the CST complex affects Rif1 binding sites, Taz1-dependent heterochromatin islands and is involved in DNA replication of G4-containing DNA.
The above-mentioned results reached within this project were exploited and communicated during conferences and my public engagement activities. I shared them with other researchers as well as with students and colleagues/collaborators at the University of Sussex and worldwide at conferences and meetings.
Poster presentations at the following conferences conferences:
May 2017 - Replication, Recombination, Repair in Giens (France)
September 2017 - Eukaryotic DNA Replication and Genome Maintenance in Cold Spring Harbour (USA)
March 2018 – Marie Curie Alumini Association, meeting/conference in London (UK)
February 2019 – Mammalian DNA Repair in Ventura (USA)
May 2019 - Replication, Recombination, Repair in Giens (France)
Public engagement activities:
Since 2017 – Twitter account @Karel70951849
November 2017 – MEP pairing scheme organised by European Parliament
February 2018 – Brighton Science Festival
August 2018 – public outreach at Brighton Pride Festival
We have published a book chapter about Pu-seq method used in this study. (It does\'t contain data reached within this project and therefore it is not a direct output of this project)
Analysis of Replicative Polymerase Usage by Ribonucleotide Incorporation.
Keszthelyi A, Miyabe I,
The data in the project will contribute to our knowledge how cells cope with DNA barriers, frequent source of genetic instability. This will ultimately allow design of new generation of drugs which can be exploited in cancer treatment as well as in prevention to several diseases like cancer and numerous neurological, neurodegenerative and neuromuscular disorders.
More info: http://www.address.com.