Targeting Twist: Single-molecule insights into supercoiled DNA-topoisomerase interactions for drug discovery
Lead Research Organisation:
University College London
Department Name: London Centre for Nanotechnology
Abstract
Topoisomerases are enzymes, present in all organisms from humans to bacteria, which are essential for life due to their ability to untangle knotted and twisted DNA. The knotting and twisting of our DNA occurs as 2 metres of our DNA is folded into the cell nucleus; much narrower than the width of a human hair. This is exacerbated by the molecular machinery in our cells which travel along our DNA, pulling it apart and manipulating it, in a compact environment. Without topoisomerases, our DNA becomes irreversibly knotted and twisted, and the cell will die. For this reason, key therapeutics such as anticancer and antibiotic drugs target human and bacterial topoisomerases respectively either killing cancerous or bacterial cells.
The pharmaceutical pipeline is continually working both to improve the therapeutics that we have, and to create novel therapeutics. To improve existing therapeutics, we require better understanding of how they work. There remains much room for development in this field. Anti-cancer therapeutics that target topoisomerases currently suffer from a lack of selectivity. Further to this, there remain a number of unexplored antibacterial targets, which have significant potential, but are as yet untargeted.
I propose to use single molecule techniques such as Atomic Force Microscopy, where a needle moves up and down as it is scanned over a surface, building up a picture of what the surface looks like, line by line, (much like a record player reads out a record by feeling the contours of its surface). These will be complemented by faster single molecule techniques, such as magnetic tweezers where a piece of DNA is tethered to a magnetic ball at one end, and a glass surface at the other. The DNA is twisted into a more complex state, by rotating the magnetic ball. The length of DNA is determined by measuring the height of the ball. This gives a very fast readout of how topoisomerases are able to untwist DNA, and how this process can be disrupted by drugs such as anti-cancer therapeutics and antibiotics. The aim of the project is to improve our understanding of how topoisomerases untwist DNA, and how this is prevented by topoisomerase inhibitors, to aid in the development of new or improved anti-cancer drugs and antibiotics.
The pharmaceutical pipeline is continually working both to improve the therapeutics that we have, and to create novel therapeutics. To improve existing therapeutics, we require better understanding of how they work. There remains much room for development in this field. Anti-cancer therapeutics that target topoisomerases currently suffer from a lack of selectivity. Further to this, there remain a number of unexplored antibacterial targets, which have significant potential, but are as yet untargeted.
I propose to use single molecule techniques such as Atomic Force Microscopy, where a needle moves up and down as it is scanned over a surface, building up a picture of what the surface looks like, line by line, (much like a record player reads out a record by feeling the contours of its surface). These will be complemented by faster single molecule techniques, such as magnetic tweezers where a piece of DNA is tethered to a magnetic ball at one end, and a glass surface at the other. The DNA is twisted into a more complex state, by rotating the magnetic ball. The length of DNA is determined by measuring the height of the ball. This gives a very fast readout of how topoisomerases are able to untwist DNA, and how this process can be disrupted by drugs such as anti-cancer therapeutics and antibiotics. The aim of the project is to improve our understanding of how topoisomerases untwist DNA, and how this is prevented by topoisomerase inhibitors, to aid in the development of new or improved anti-cancer drugs and antibiotics.
Technical Summary
Topoisomerases are molecular machines that perform vital rearrangement of DNA, unknotting and decatenating it in order that transcription machinery can pass along genomic DNA unhindered. Topoisomerases are targeted by antibiotic and anti-cancer therapeutics that trap them on DNA, reducing their activity. This mechanism of action, discovered for topoisomerase inhibitors, also extends to PARP inhibitors used in anti-cancer therapies, and may be applied to target transcription factors. There remains much room for development in this field; anti-cancer therapeutics that target topoisomerases currently suffer from a lack of selectivity, and there remain a number of unexplored antibacterial targets (including topoisomerases I and III), which have significant potential, but are as yet untargeted. This is due to both a lack of structural information and fundamental gaps in our knowledge of their mechanism of action. Using single molecule techniques, I will provide valuable insight into the mechanism of action for topoisomerases and their inhibitors, with the aim of informing the rational design of novel therapeutics.
This work will bring together an international multidisciplinary collaboration. Using Atomic Force Microscopy techniques I have pioneered, I will determine the conformation of DNA molecules, as they interact with topoisomerases, at double-helical resolution in aqueous solution. Using magnetic tweezers and single molecule fluorescence, I will interrogate topoisomerase-DNA interactions at millisecond time scales, providing dynamic insights into the binding of these enzymes, and how this is modulated by novel therapeutics such as anticancer drugs and antibiotics. These pioneering studies will allow for the determination of the supercoiling dependence of topoisomerases, and provide insight into the mechanism of topoisomerase-DNA interactions, and how these are modulated by topoisomerase inhibitors, a key class of therapeutics.
This work will bring together an international multidisciplinary collaboration. Using Atomic Force Microscopy techniques I have pioneered, I will determine the conformation of DNA molecules, as they interact with topoisomerases, at double-helical resolution in aqueous solution. Using magnetic tweezers and single molecule fluorescence, I will interrogate topoisomerase-DNA interactions at millisecond time scales, providing dynamic insights into the binding of these enzymes, and how this is modulated by novel therapeutics such as anticancer drugs and antibiotics. These pioneering studies will allow for the determination of the supercoiling dependence of topoisomerases, and provide insight into the mechanism of topoisomerase-DNA interactions, and how these are modulated by topoisomerase inhibitors, a key class of therapeutics.
Organisations
- University College London (Lead Research Organisation)
- Bruker Corporation (Collaboration)
- John Innes Centre (Collaboration)
- Birkbeck, University of London (Collaboration)
- UNIVERSITY OF YORK (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- John Innes Centre (Project Partner)
- The Francis Crick Institute (Project Partner)
- Bruker (United States) (Project Partner)
- University of Sheffield (Fellow)
Publications
Akpinar B
(2019)
PEGylated surfaces for the study of DNA-protein interactions by atomic force microscopy.
in Nanoscale
Benn G
(2019)
Imaging live bacteria at the nanoscale: comparison of immobilisation strategies.
in The Analyst
Bennett I
(2020)
Cantilever Sensors for Rapid Optical Antimicrobial Sensitivity Testing.
in ACS sensors
Beton J
(2021)
TopoStats - A program for automated tracing of biomolecules from AFM images
in Methods
Burns JR
(2018)
DNA Origami Inside-Out Viruses.
in ACS synthetic biology
Dos Santos Á
(2023)
Autophagy receptor NDP52 alters DNA conformation to modulate RNA polymerase II transcription.
in Nature communications
Description | DTP 2018-19 University College London |
Amount | £15,585,724 (GBP) |
Funding ID | EP/R513143/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2018 |
End | 09/2023 |
Description | EPSRC DTP studentship deep probabilistic models for analysing complex DNA structures in high-resolution atomic force microscopy images |
Amount | £120,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 05/2025 |
Description | EPSRC DTP studentship: Tracking and tracing complex DNA structures critical to human health |
Amount | £80,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2021 |
End | 04/2025 |
Description | Henry Royce Industry Collaboration Partnership |
Amount | £37,319 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 04/2021 |
End | 10/2021 |
Description | Near-Field Optical Spectroscopy Centre at Sheffield, NOSC |
Amount | £1,656,502 (GBP) |
Funding ID | EP/V007696/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 11/2024 |
Description | Sir Henry Royce Institute - recurrent grant |
Amount | £52,313,935 (GBP) |
Funding ID | EP/R00661X/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2016 |
End | 03/2023 |
Description | Unravelling the invisible complexities of the genome |
Amount | £1,508,571 (GBP) |
Funding ID | MR/W00738X/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 07/2022 |
End | 07/2026 |
Title | TopoStats |
Description | Atomic Force Microscopy (AFM) can image single molecules on surfaces with Ångström resolution, without the need for labelling or averaging. One of the rate-limiting steps for AFM is in the reproducibility of analysis of the increasing volumes of data produced. Even today the majority of AFM analysis has been carried out by hand, relying on a highly trained and experienced researcher. Unlike for other imaging modalities, there are few open-source analytical pipelines available and arguably none that have been adopted by the community. There is a need for automated analysis in AFM to reduce reliance on an experienced researcher, minimise selection bias and facilitate rapid quantitative analysis. We have developed an AFM image analysis platform TopoStats (https://github.com/AFM-SPM/TopoStats); a first of its kind Python toolkit for automated AFM data processing and analysis. This tool can identify individual biomolecules and provide quantitative insight into their size, and aggregation. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | This tool is bring used by researchers across the UK, via the GitHub platform, and is having impact across sectors |
URL | http://www.github.com/AFM-SPM/TopoStats |
Title | Atomic force microscopy and atomistic molecular dynamics simulation data to resolve structures of negatively-supercoiled DNA minicircles at base-pair resolution. |
Description | This data record consists 2 zipped folders: Full AFM raw data set.zip, and Source data .zip.The zipped folder Full AFM raw data set.zip contains all raw AFM data including repeats and experiments carried out in alternative conditionsThe primary subfolder names correspond to the method of DNA immobilisation:Nickel - use of 3 mM NiCl2 in Ph7.4 20 mM HEPES bufferPLLNaOAc - use of PLL and pH 5.4 50 mM NaOAc bufferHR images - high resolution images, obtained also using the nickel conditions.The secondary subfolder names correspond to the superhelical density as shown in figure 3 in the article, and these contain the raw AFM images as .spm isles, the sub folders within those are created by the program TopoStats, and are processed data from the raw AFM images. File formats included in the zipped folder: .spm, .tiff, .json, .txt and .pdf.The zipped folder Source data .zip comprises all relevant data, pdbs of all the structures depicted in the paper obtained from simulations and AFM. See below for details on each sub folder within Source data 2.zip. Each folder contains the data used to generate each figure ad supplementary figure in the article. Figure 1: AFM data: the AFM raw files for the high-resolution images shown in figure 1, and calculations of their aspect ratios as aspectratiomanual.xlsxAFM movie: the AFM raw files for the time-lapse images shown in figure 1.MD data: the MD images used for the high-resolution images shown in figure 1 and .tar files - the MD files used to generate the snapshots MD movie: the MD snapshots files for the time-lapse images shown in figure 1 and .tar files - the MD files used to generate the snapshotsFile formats included in the Figure 1 sub folder: 0## files where ## represent numbers, .gwy, .txt, .eps, .mpg and .xlsx.Figure 2: Kink and defect measurements - the measured bend angles shown in Fig 2 and an AFM image showing how the FAM bends were measuredMD Radgyr Writhe - measurements of radius of gyrations and writhe for each topoisomer.tar files - the MD files used to generate the snapshots in 2a.txt file - the profile shown in fig 2bFile formats included in the Figure 2 sub folder: .tiff, .txt and .datFigure 3: The subfolder names correspond to the superhelical density as shown in figure 3, and these contain the raw AFM images as '.spm' isles, the sub folders within those are created by the program TopoStats, and are processed data from the raw AFM images. The '.json' file contains the data used to make the plots shown in Figure 3File formats included in the Figure 3 sub folder: .spm, .tiff, .txt, .json and .pdfFigure 4: '.dat' files contain information from MD simulations used to create the subfigure they are labelled with.The '.spm' and '.037' files are the raw AFM images used in this figure.The .tar files are MD simulations data used to generate the snapshots shown in figure 4.File formats included in the Figure 4 sub folder: .spm, .txt, .pdf and .datFigure S1: Simulations data generated using the SerraLine program, showing the average and maximum deviations from planarity in relative and absolute numbers.Data were plotted suing the distributions_plot.py script.File formats included in the Figure S1 sub folder: .csv, .pdf, and .txtFigure S2a: MD measurement of the writhe over time as a '.dat file' and snapshots as '.pdb' files. File formats included in the Figure S2a sub folder: .pdb and .dat.Figure S2b: MD measurement of the writhe over time as a '.dat file' and snapshots as '.pdb' files.File formats included in the Figure S2b sub folder: .pdb and .dat.Figure S3: The AFM and MD measurements of bending angles including all profiles for MD simulations, generated using Serraline A, FM images and measurements in the form '251angles' '339 angles'.File formats included in the Figure S3 sub folder: .tiff, .txt and .pdb.Figure S4: AFM length analysis of the position of the triplex on linearised minicircles. 'Csv' file contains the length data measured by hand using the IMOD software.Plots: plots of the data raw AFM data: AFM data files used in the analysisFile formats included in the Figure S4 sub folder: .csv, .xlsx, .pdf and 0## files where ## represent numbers.Figure S5: Surface plasmon resonance (SPR) data show the effect of ions on the affinity of the triplex for varying superhelical densities of DNA minicircles, plotted using the script 'sprplot'. '.pdf' files are the plots of the various excel files.File formats included in the Figure S5 sub folder: .json, .pdf and .xlsx.Figure S6: SPR data in showing the affinity of the triplex for varying superhelical densities of DNA minicircles, plotted using the script 'sprplot'. '.pdf' files are the plots of the various excel files.File formats included in the Figure S6 sub folder: .json, .pdf, .xlsx and .pdf.Figure S7: An MS '.tar' file containing the snapshots shown in figure S7File formats included in the Figure S7 sub folder: .pdbFigure S8: AFM data used in figure s8, the '.gwy' files are AFM images of the wide view, and each of the time-lapse images. The '.txt' files are the profiles taken in those images and plotted in the figure.File formats included in the Figure S8 sub folder: .gwy and .txt.Figure S9: Simulations data showing the difference between the OL$ and BSC1 forcefields.File formats included in the Figure S9 sub folder: .datSimulations: The simulations data File formats included in the Simulations sub folder: .gro and .xtcSupp videos: The supplementary videosFile formats included in the SuppVideods sub folder: .pdb and .mpgSoftware needed to access data: 20151103_251_NAT_17ng_Ni_20mm_052DX.058 or AFM_339_TFO_HR_cs.037, spm files & all files included in the "Raw AFM data" sub folder - Gwyddion, Nanoscope Analysiseps files - illustrator/ pdf software.mpg - any movie player.gro - gromacs files- GRO files may be viewed on a computer using a supporting HP calculator emulator, such as Emu48.xtc files - gromacs files- a suitable software like XTrkCADsee http://manual.gromacs.org/documentation/2018/user-guide/file-formats.html for more information on gromacs files.Study aims and methodology: In the cell, DNA is arranged into highly-organised and topologically-constrained (supercoiled) structures. It remains unclear how this supercoiling affects the detailed double-helical structure of DNA, largely because of limitations in spatial resolution of the available biophysical tools. In this study, the authors combined high-resolution atomic force microscopy (AFM) with molecular dynamics (MD) simulations to reveal how supercoiling affects global and local DNA conformation, structure and dynamics in DNA minicircles of length 250-340 bp. The following procedures are described in more detail in the related article: generation and purification of small DNA circles, preparation and analysis of different topological species of minicircles, S1 nuclease digestions, atomic force microscopy, atomistic simulations and surface plasmon resonance. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Dataset of full data published in Nature Communications |
URL | https://springernature.figshare.com/articles/dataset/Atomic_force_microscopy_and_atomistic_molecular... |
Title | TopoStats |
Description | We present TopoStats, a Python toolkit for automated editing and analysis of Atomic Force Microscopy images. The program includes identification and tracing of individual molecules in both circular and linear conformations without user input. The program is freely available via GitHub (https://github.com/afmstats/TopoStats), and is intended to be modified and adapted for use if required. TopoStats can identify individual molecules and molecular assemblies within a wide field of view, without the need for prior processing. We demonstrate its power by identifying and tracing individual biomolecules, including DNA origami, pore-forming proteins, and DNA molecules in both closed circular and linear form. |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Software published in Elsevier Methods, and used as a community resource for the data analysis in AFM field |
URL | http://www.github.com/AFM-SPM/TopoStats |
Description | Bruker collaboration |
Organisation | Bruker Corporation |
Department | Bruker Nano-surfaces Division |
Country | United States |
Sector | Private |
PI Contribution | Bruker nano surfaces develop Atomic Force Microscopes and accessories for biological imaging, among other applications. I have worked in partnership with Bruker to develop novel probes for high resolution imaging, and to optimise their software and imaging modes to obtain the highest resolution imaging. We work together to bring these together in the form of protocols for high resolution imaging of biomolecules. |
Collaborator Contribution | Bruker provide me with pre-release probes for testing as part of their development process. In addition they provide me with unrestricted access to their state of the art facilities in Santa Barbara, allowing me to use optimised machines for my research. |
Impact | Bruker have developed new probes and protocols for high resolution imaging of DNA as part of this collaboration which is now commercially available |
Start Year | 2015 |
Description | DNA minicircle collaboration |
Organisation | University of Leeds |
Department | School of Physics and Astronomy |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Experimental/simulation partnership to determine the effect of supercoiling on DNA structure |
Collaborator Contribution | The John Innes centre made up DNA mini circle constructs and provided expertise in DNA supercoiling and recognition. They carried out SPR and other biochemical experiments and training for the PI in biochemical analysis. The University of York and Leeds carried out simulations to correlate to our experimental work, and developed analysis tools to allow us to compare our experiments explicitly to their simulations. The University of Liverpool provided expertise in DNA supercoiling |
Impact | Multidisciplinary Biophysics collaboration - the effect of DNA supercoiling on molecular recognition. Preprint Published paper - Nature Communications Seminars x4 Conference presentation x6 Software |
Start Year | 2017 |
Description | DNA minicircle collaboration |
Organisation | University of Liverpool |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Experimental/simulation partnership to determine the effect of supercoiling on DNA structure |
Collaborator Contribution | The John Innes centre made up DNA mini circle constructs and provided expertise in DNA supercoiling and recognition. They carried out SPR and other biochemical experiments and training for the PI in biochemical analysis. The University of York and Leeds carried out simulations to correlate to our experimental work, and developed analysis tools to allow us to compare our experiments explicitly to their simulations. The University of Liverpool provided expertise in DNA supercoiling |
Impact | Multidisciplinary Biophysics collaboration - the effect of DNA supercoiling on molecular recognition. Preprint Published paper - Nature Communications Seminars x4 Conference presentation x6 Software |
Start Year | 2017 |
Description | DNA minicircle collaboration |
Organisation | University of York |
Department | Department of Physics |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Experimental/simulation partnership to determine the effect of supercoiling on DNA structure |
Collaborator Contribution | The John Innes centre made up DNA mini circle constructs and provided expertise in DNA supercoiling and recognition. They carried out SPR and other biochemical experiments and training for the PI in biochemical analysis. The University of York and Leeds carried out simulations to correlate to our experimental work, and developed analysis tools to allow us to compare our experiments explicitly to their simulations. The University of Liverpool provided expertise in DNA supercoiling |
Impact | Multidisciplinary Biophysics collaboration - the effect of DNA supercoiling on molecular recognition. Preprint Published paper - Nature Communications Seminars x4 Conference presentation x6 Software |
Start Year | 2017 |
Description | John Innes Collaboration |
Organisation | John Innes Centre |
Department | The Sainsbury Laboratory |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | As part of this partnership, we perform high resolution imaging of DNA -protein interaction, which are of interest to the group of Prof Tony Maxwell at the JIC |
Collaborator Contribution | Prof Maxwell's group provide us with protein and access to their wet lab facilities to run standard biochemical assays to complement our novel AFM analysis techniques. |
Impact | Maanuscript in preparation |
Start Year | 2015 |
Description | TopoStats software development collaboration |
Organisation | Birkbeck, University of London |
Department | School of Crystallography |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We carried out experimental work and designed software to allow for quantitative analysis of atomic force microscope images |
Collaborator Contribution | Partners at Birkbeck developed more sophisticated algorithms for DNA tracing and tracking in Python which were included within our software. |
Impact | New software - TopoStats Published paper Preprint |
Start Year | 2019 |
Description | TopoStats software development collaboration |
Organisation | Birkbeck, University of London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We carried out experimental work and designed software to allow for quantitative analysis of atomic force microscope images |
Collaborator Contribution | Partners at Birkbeck developed more sophisticated algorithms for DNA tracing and tracking in Python which were included within our software. |
Impact | New software - TopoStats Published paper Preprint |
Start Year | 2019 |
Title | ANTI-MICROBIAL COMPOSITIONS COMPRISING NUCLEIC ACID NANOSTRUCTURES AND METHODS OF MAKING AND USING SUCH COMPOSITIONS |
Description | Antimicrobial compounds are provided comprising: (i) a nucleic acid nanostructure; and (ii) a plurality of lipid molecules; wherein the plurality of lipid molecules are linked to the nucleic acid nanostructure. Compositions are provided with antimicrobial and antibiotic activity that comprise the described compounds. The compositions and compounds are selectively biocidal to microbes, especially bacteria, and not to eukaryotic cells. |
IP Reference | WO2017118862 |
Protection | Patent application published |
Year Protection Granted | 2017 |
Licensed | No |
Impact | Paper in preparation to show proof of principle work for DNA Nano-ores as antimicrobials |
Title | TopoStats - Atomic Force Microscopy image processing and analysis |
Description | TopoStats is a Python package for batch processing images produced by Atomic Force Microscopy |
Type Of Technology | Software |
Year Produced | 2023 |
URL | https://figshare.shef.ac.uk/articles/software/TopoStats_-_Atomic_Force_Microscopy_image_processing_a... |
Title | TopoStats - an automated tracing program for AFM images |
Description | We present TopoStats, a Python toolkit for automated editing and analysis of Atomic Force Microscopy images. The program includes identification and tracing of individual molecules in both circular and linear conformations without user input. The program is freely available via GitHub (https://github.com/afmstats/TopoStats), and is intended to be modified and adapted for use if required. TopoStats can identify individual molecules and molecular assemblies within a wide field of view, without the need for prior processing. We demonstrate its power by identifying and tracing individual biomolecules, including DNA origami, pore-forming proteins, and DNA molecules in both closed circular and linear form. |
Type Of Technology | Software |
Year Produced | 2020 |
Open Source License? | Yes |
URL | https://figshare.shef.ac.uk/articles/software/TopoStats_-_an_automated_tracing_program_for_AFM_image... |
Title | TopoStats software used for NDP52 analysis |
Description | A modified version of TopoStats used for the analysis of interaction between NDP52 and DNA |
Type Of Technology | Software |
Year Produced | 2023 |
URL | https://figshare.shef.ac.uk/articles/software/TopoStats_software_used_for_NDP52_analysis/21444687 |
Description | DNA topology talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Third sector organisations |
Results and Impact | Talk and the DNA topology online series organised by Caroline Austin. |
Year(s) Of Engagement Activity | 2021 |
Description | ITV interview |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Interviewed on ITV news about our Nature Communications paper https://www.nature.com/articles/s41467-021-21243-y |
Year(s) Of Engagement Activity | 2021 |
Description | Interview for Henry Royce @ Sheffield |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Third sector organisations |
Results and Impact | This was a press release to document my joining Sheffield University as a lecturer in materials science and engineering and as head of the Royce nanocharacterisation laboratory |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.sheffield.ac.uk/materials/news/surface-characterisation-most-fundamental-level-atomic-fo... |
Description | MRC festival online |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Public/other audiences |
Results and Impact | MRC online festical - attended online by hundreds of the general public. The research team made videos and other online activities for the public to engage with DNA supercoiling. |
Year(s) Of Engagement Activity | 2020 |
Description | NuNano interview and blog |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | NuNano interview about open, interdisciplinary science |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.nunano.com/blog/2020/10/22/afm-community-interview-with-dr-alice-pyne |
Description | Seminar (St Andrews) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Third sector organisations |
Results and Impact | Seminar at St Andrews University to disseminate our recent work on DNA supercoiling https://www.biorxiv.org/content/10.1101/863423v1 - this sparked lively discussion and more traffic to website/papers |
Year(s) Of Engagement Activity | 2020 |
Description | Seminar (Kent) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Third sector organisations |
Results and Impact | Seminar at Kent University to disseminate our recent work on DNA supercoiling https://www.biorxiv.org/content/10.1101/863423v1 - this sparked lively discussion and resulted in meetings with multiple academic groups in Kent |
Year(s) Of Engagement Activity | 2020 |
Description | Seminar (Leeds) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Third sector organisations |
Results and Impact | Seminar at Leeds University in the biomaterials group to disseminate our recent work on DNA supercoiling https://www.biorxiv.org/content/10.1101/863423v1 - this sparked lively discussion and twitter contacts. |
Year(s) Of Engagement Activity | 2020 |