Unravelling post-transcriptional regulatory networks in pathogenic S. aureus
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Biological Sciences
Abstract
Antimicrobial medicines have saved millions of lives since the introduction of penicillin in the 1940s. But their overuse has resulted in the rise of multidrug-resistant bacteria at a rate that has outpaced the discovery of new antibiotics. The emergence of multi-drug resistant Staphylococcus aureus (such as MRSA) in particular is causing major healthcare problems world-wide as S. aureus skin and respiratory infections can be life-threatening and are becoming increasingly more difficult to treat.
Like all organisms, MRSA initially makes temporary copies of its genes, called messenger RNA (mRNA) molecules, which can subsequently be read, or translated, by a molecular machine called the ribosome to generate proteins. How much of a protein is made depends on how much of its mRNA is present and how well it accesses the translation machinery. Proteins enable the organism to survive and, for bacteria like S. aureus, to infect human cells. One reason why S. aureus is such a successful human pathogen is because it can quickly remove mRNAs that are no longer required and control which mRNAs are translated. This enables the organism to swiftly adapt to challenges from the immune system by changing the proteins that it makes. This mechanism is crucial for S. aureus survival during infection, but we know remarkably little about how it works. The goal of our research is to gain detailed molecular insights into this process, using innovative techniques that we have developed over the years. The results from our studies may help uncover new ways of battling infectious diseases.
Like all organisms, MRSA initially makes temporary copies of its genes, called messenger RNA (mRNA) molecules, which can subsequently be read, or translated, by a molecular machine called the ribosome to generate proteins. How much of a protein is made depends on how much of its mRNA is present and how well it accesses the translation machinery. Proteins enable the organism to survive and, for bacteria like S. aureus, to infect human cells. One reason why S. aureus is such a successful human pathogen is because it can quickly remove mRNAs that are no longer required and control which mRNAs are translated. This enables the organism to swiftly adapt to challenges from the immune system by changing the proteins that it makes. This mechanism is crucial for S. aureus survival during infection, but we know remarkably little about how it works. The goal of our research is to gain detailed molecular insights into this process, using innovative techniques that we have developed over the years. The results from our studies may help uncover new ways of battling infectious diseases.
Technical Summary
The emergence and expansion of antibiotic-resistant Staphylococcus aureus (including methicillin-resistant S. aureus, MRSA) in hospitals and the community is a global public health concern. S. aureus is an extremely versatile pathogen, due in part to its capacity to rapidly alter its transcriptome in response to stress. While transcription factors dictate which genes are expressed during stress, substantial regulation also occurs post-transcriptionally. Regulatory RNAs (ncRNAs) and RNA-binding proteins are now recognized as key players in controlling virulence, host cell interactions and antibiotic resistance in bacterial pathogens. By directly binding to their mRNA target, they decide the fate of the molecule by control how efficiently the mRNA is translated and/or degraded. We hypothesize that riboregulators play a key role in shaping gene expression profiles during stress. However, for the majority of these factors we lack understanding of their function. To gain mechanistic insights into how MRSA rapidly alters gene expression during stress, we will map the landscape of post-transcriptional regulation in S. aureus during human infection using innovative high-throughput methods developed in my group and by our collaborators. Because immune evasion is critical for S. aureus survival in the early stages of infection, we will focus our analyses on post-transcriptional events during entry into the blood stream and in response to phagocytic cells. Our preliminary data have already uncovered many targets for 89 ncRNAs, including interactions with transcripts encoding toxins and multi-drug efflux pumps, demonstrating the feasibility of our approach. We envisage that the insights into post-transcriptional regulatory networks derived from this work may lead to the design of novel approaches for treating or preventing infectious diseases.
Planned Impact
1) Benefits to the scientific community:
As this is a basic research project, the main beneficiaries of the outputs generated by the proposed work will be both the national and the international scientific community. The data that we will generate and the technologies that we have developed will be not only be of interest to the bacterial field but also to the RNA research community in general. To maximize our impact, we will be presenting our work at conferences and seminars, publish in open-access journals and train researchers how to successfully apply the techniques developed in my group.
2) Benefits to the UK society and economy:
Our lab is a good place to learn all about the latest high-throughput techniques in RNA biology. Therefore, we believe that our staff as well as our visitors will greatly benefit from the biochemical and computational skills that they learn in our lab as it enables them to tackle complex and technically challenging biological questions. As these skills are in high-demand, I believe that these training opportunities will significantly improve their future employability.
Our results are not only expected to increase the level of understanding how Staphylococcus aureus is such a successful human pathogen, but it may reveal promising targets for the development of antimicrobials. Therefore, in the longer-term our work may contribute to finding new approaches to battle S. aureus infections.
3) Benefits to industry:
We have been working with a UK company (UVO3) for several years now to develop new tools for RNA biology. UVO3 has indicated that it would be interested in developing new equipment with us and we will work closely with our Edinburgh Research and Innovation department to determine whether inventions arising from future collaborative efforts could be patented.
4) Benefits to the general public:
We will disseminate our results to the general public through our press office (Press Gang) as well as through public outreach. These channels provide a great opportunity to engage with public to discuss the importance of studying pathogenic bacteria, how this may lead to improved methods to treat infections and the importance of MRC funding in driving research in this area forward.
As this is a basic research project, the main beneficiaries of the outputs generated by the proposed work will be both the national and the international scientific community. The data that we will generate and the technologies that we have developed will be not only be of interest to the bacterial field but also to the RNA research community in general. To maximize our impact, we will be presenting our work at conferences and seminars, publish in open-access journals and train researchers how to successfully apply the techniques developed in my group.
2) Benefits to the UK society and economy:
Our lab is a good place to learn all about the latest high-throughput techniques in RNA biology. Therefore, we believe that our staff as well as our visitors will greatly benefit from the biochemical and computational skills that they learn in our lab as it enables them to tackle complex and technically challenging biological questions. As these skills are in high-demand, I believe that these training opportunities will significantly improve their future employability.
Our results are not only expected to increase the level of understanding how Staphylococcus aureus is such a successful human pathogen, but it may reveal promising targets for the development of antimicrobials. Therefore, in the longer-term our work may contribute to finding new approaches to battle S. aureus infections.
3) Benefits to industry:
We have been working with a UK company (UVO3) for several years now to develop new tools for RNA biology. UVO3 has indicated that it would be interested in developing new equipment with us and we will work closely with our Edinburgh Research and Innovation department to determine whether inventions arising from future collaborative efforts could be patented.
4) Benefits to the general public:
We will disseminate our results to the general public through our press office (Press Gang) as well as through public outreach. These channels provide a great opportunity to engage with public to discuss the importance of studying pathogenic bacteria, how this may lead to improved methods to treat infections and the importance of MRC funding in driving research in this area forward.
People |
ORCID iD |
| Sander Granneman (Principal Investigator / Fellow) |
Publications
Beckmann BM
(2019)
Probing the RNA-Binding Proteome from Yeast to Man: Major Advances and Challenges.
in Methods in molecular biology (Clifton, N.J.)
Christopoulou N
(2022)
The role of RNA-binding proteins in mediating adaptive responses in Gram-positive bacteria.
in The FEBS journal
Chu LC
(2022)
The RNA-bound proteome of MRSA reveals post-transcriptional roles for helix-turn-helix DNA-binding and Rossmann-fold proteins.
in Nature communications
Chu LC
(2024)
pyRBDome: a comprehensive computational platform for enhancing RNA-binding proteome data.
in Life science alliance
Cordiner RA
(2023)
Temporal-iCLIP captures co-transcriptional RNA-protein interactions.
in Nature communications
De Miguel-Jiménez L
(2024)
The zinc-finger transcription factor Sfp1 imprints specific classes of mRNAs and links their synthesis to cytoplasmic decay
in eLife
Dimitrova-Paternoga L
(2024)
Structural basis of ribosomal 30S subunit degradation by RNase R
in Nature
Esteban-Serna S
(2024)
Defining Bacterial RNA-RNA Interactomes Using CLASH.
in Methods in molecular biology (Clifton, N.J.)
Esteban-Serna S
(2023)
Advantages and limitations of UV cross-linking analysis of protein-RNA interactomes in microbes.
in Molecular microbiology
| Description | The roles of a universally conserved DNA-and RNA-binding domain in controlling MRSA virulence and antibiotic resistance |
| Amount | £2,237,717 (GBP) |
| Funding ID | MR/Y013131/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2024 |
| End | 03/2029 |
| Title | An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli |
| Description | GENERAL INFORMATION: This is the dataset that supports the findings of the manuscript "An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli ", currently published on eLife (Reviewed Preprint v1 May 15, 2024) The dataset contains three main data types: - Fluorescence_microscopy_data: Data obtained from single-molecule fluorescent in situ hybridisation (FISH) and Halo-labelling (HaloTag) experiments: raw images (.TIF files), examples of masks obtained from cell segmentation (.MAT files) and numerical data for quantification of foci in Escherichia coli cells (.CSV files). - Fluorescence_microscopy_SRC: source code used for image analysis and spot detection in FISH and HaloTag experiments (.MAT files) - Growth-and-viability_data: Data from cell growth and viability assays obtained from optical density measurements at 600 nm (OD600) and survival factor calculated using colony forming units per ml (.CSV files) - RT-qPCR_data: Data from reverse transcription quantitative real-time PCR (.CSV files) Within data types, the data is divided in a "folder by figure" structure, meaning the data is separated according to the order that they appear in the publication figures (the numbers in the folder or file titles correspond to the figure numbers in the publication). Specific README files for each data type containing more detailed information can be found here and within each main data type folder. See README-FM, README-GV, README-PCR and README-SRC for fluorescence microscopy data, growth and viability data, RT-qPCR data and analysis code for microscopy images, respectively. ABSTRACT: All living organisms have developed strategies to respond to chromosomal damage and preserve genome integrity. One such response is the repair of DNA double-strand breaks (DSBs), one of the most toxic forms of DNA lesions. In Escherichia coli, DSBs are repaired via RecBCD-dependent homologous recombination. RecBCD is essential for accurate chromosome maintenance, but its over-expression can lead to reduced DNA repair ability. This apparent paradox suggests that RecBCD copy numbers may need to be tightly controlled within an optimal range. Using single-molecule fluorescence microscopy, we have established that RecB is present in very low abundance at mRNA and protein levels. RecB transcription shows high fluctuations, yet cell-to-cell protein variability remains remarkably low. Here, we show that the post-transcriptional regulator Hfq binds to recB mRNA and down-regulates RecB protein translation in vivo. Furthermore, specific disruption of the Hfq-binding site leads to more efficient translation of recB mRNAs. In addition, we observe a less effective reduction of RecB protein fluctuations in the absence of Hfq. This fine-tuning Hfq-mediated mechanism might have the underlying physiological function of maintaining RecB protein levels within an optimal range. LICENSES: The data (microscopy, RT-qPCR and cell growth and viability assays) are shared under Creative Commons Attribution 4.0 International. The source code for spot detection and quantification analysis is under GNU-GPL license, and the source code for the bright-field segmentation pipeline is under MIT license. For correspondence: irykalita@gmail.com, meriem.elkaroui@ed.ac.uk |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.10209982 |
| Title | An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli |
| Description | GENERAL INFORMATION: This is the dataset that supports the findings of the manuscript "An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli ", currently published as a preprint on bioRxiv: https://doi.org/10.1101/2021.10.23.465540 The dataset contains three main data types: - Fluorescence_microscopy_data: Data obtained from single-molecule fluorescent in situ hybridisation (FISH) and Halo-labelling (HaloTag) experiments: raw images (.TIF files), examples of masks obtained from cell segmentation (.MAT files) and numerical data for quantification of foci in Escherichia coli cells (.CSV files). - Fluorescence_microscopy_SRC: source code used for image analysis and spot detection in FISH and HaloTag experiments (.MAT files) - Growth-and-viability_data: Data from cell growth and viability assays obtained from optical density measurements at 600 nm (OD600) and survival factor calculated using colony forming units per ml (.CSV files) - RT-qPCR_data: Data from reverse transcription quantitative real-time PCR (.CSV files) Within data types, the data is divided in a "folder by figure" structure, meaning the data is separated according to the order that they appear in the publication figures (the numbers in the folder or file titles correspond to the figure numbers in the publication). Specific README files for each data type containing more detailed information can be found here and within each main data type folder. See README-FM, README-GV, README-PCR and README-SRC for fluorescence microscopy data, growth and viability data, RT-qPCR data and analysis code for microscopy images, respectively. ABSTRACT: All living organisms have developed strategies to respond to chromosomal damage and preserve genome integrity. One such response is the repair of DNA double-strand breaks (DSBs), one of the most toxic forms of DNA lesions. In Escherichia coli, DSBs are repaired via RecBCD-dependent homologous recombination. RecBCD is essential for accurate chromosome maintenance, but its over-expression can lead to reduced DNA repair ability. This apparent paradox suggests that RecBCD copy numbers may need to be tightly controlled within an optimal range. Using single-molecule fluorescence microscopy, we have established that RecB is present in very low abundance at mRNA and protein levels. RecB transcription shows high fluctuations, yet cell-to-cell protein variability remains remarkably low. Here, we show that the post-transcriptional regulator Hfq binds to recB mRNA and down-regulates RecB protein translation in vivo. Furthermore, specific disruption of the Hfq-binding site leads to more efficient translation of recB mRNAs. In addition, we observe a less effective reduction of RecB protein fluctuations in the absence of Hfq. This fine-tuning Hfq-mediated mechanism might have the underlying physiological function of maintaining RecB protein levels within an optimal range. LICENSES: The data (microscopy, RT-qPCR and cell growth and viability assays) are shared under Creative Commons Attribution 4.0 International. The source code for spot detection and quantification analysis is under GNU-GPL license, and the source code for the bright-field segmentation pipeline is under MIT license. For correspondence: irykalita@gmail.com, meriem.elkaroui@ed.ac.uk |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.8431112 |
| Title | An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli |
| Description | GENERAL INFORMATION: This is the dataset that supports the findings of the manuscript "An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli ", currently published as a preprint on bioRxiv: https://doi.org/10.1101/2021.10.23.465540 The dataset contains three main data types: - Growth-and-viability_data: Data from cell growth and viability assays obtained from optical density measurements at 600 nm (OD600) and survival factor calculated using colony forming units per ml (.CSV files) - Fluorescence_microscopy_data: Data obtained from single-molecule fluorescent in situ hybridisation (FISH) and Halo-labelling (HaloTag) experiments: raw images (.TIF files), examples of masks obtained from cell segmentation (.MAT files) and numerical data for quantification of foci in Escherichia coli cells (.CSV files). Note: FLUORESCENCE MICROSCOPY DATA FILES ARE PENDING AND WILL BE UPLOADED ASAP. - RT-qPCR_data: Data from reverse transcription quantitative real-time PCR (.CSV files) - Fluorescence_microscopy_SRC: source code used for image analysis and spot detection in FISH and HaloTag experiments (.MAT files) Within data types, the data is divided in a "folder by figure" structure, meaning the data is separated according to the order that they appear in the publication figures (the numbers in the folder or file titles correspond to the figure numbers in the publication). Specific README files for each data type containing more detailed information can be found within each main data type folder. See README-FM, README-GV, README-PCR and README-SRC for fluorescence microscopy, growth and viability data, RT-qPCR and analysis code for microscopy images, respectively. ABSTRACT: All living organisms have developed strategies to respond to chromosomal damage and preserve genome integrity. One such response is the repair of DNA double-strand breaks (DSBs), one of the most toxic forms of DNA lesions. In Escherichia coli, DSBs are repaired via RecBCD-dependent homologous recombination. RecBCD is essential for accurate chromosome maintenance, but its over-expression can lead to reduced DNA repair ability. This apparent paradox suggests that RecBCD copy numbers may need to be tightly controlled within an optimal range. Using single-molecule fluorescence microscopy, we have established that RecB is present in very low abundance at mRNA and protein levels. RecB transcription shows high fluctuations, yet cell-to-cell protein variability remains remarkably low. Here, we show that the post-transcriptional regulator Hfq binds to recB mRNA and down-regulates RecB protein translation in vivo. Furthermore, specific disruption of the Hfq-binding site leads to more efficient translation of recB mRNAs. In addition, we observe a less effective reduction of RecB protein fluctuations in the absence of Hfq. This fine-tuning Hfq-mediated mechanism might have the underlying physiological function of maintaining RecB protein levels within an optimal range. LICENSES: The data (microscopy, RT-qPCR and cell growth and viability assays) are shared under Creative Commons Attribution 4.0 International. The source code for spot detection and quantification analysis is under GNU-GPL license, and the source code for the bright-field segmentation pipeline is under MIT license. For correspondence: irykalita@gmail.com, meriem.elkaroui@ed.ac.uk |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/doi/10.5281/zenodo.8431113 |
| Title | Supplementary Figures, Tables and Source data |
| Description | Supplementary Tables, including DESeq analysis of RNA-seq data, oligonucleotides used and strain list |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://figshare.com/articles/dataset/Supplementary_Figures_Tables_and_Source_data/12788963 |
| Title | Supplementary Figures, Tables and Source data |
| Description | Supplementary Tables, including DESeq analysis of RNA-seq data, oligonucleotides used and strain list |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://figshare.com/articles/dataset/Supplementary_Figures_Tables_and_Source_data/12788963/1 |
| Title | The mRNA derived MalH sRNA contributes to alternative carbon source utilization by tuning maltoporin expression in E. coli |
| Description | Previous high-throughput studies in Gram-negative bacteria identified a large number of 3'UTR fragments that potentially function as sRNAs. Here we extensively characterize the MalH sRNA. We show that MalH is a stable degradation intermediate derived from the 3' end of malG, which is part of the maltose uptake operon transcript malEFG. Unlike the majority of bacterial sRNAs, MalH is transiently expressed during the transition from the exponential to the stationary growth phase, suggesting that it contributes to adaptation to changes in nutrient availability. Over-expression of MalH reduces expression of general outer membrane porins and MicA, a repressor of the high-affinity maltose/maltodextrin transporter LamB. Disrupting MalH production and function significantly reduces lamB accumulation when maltose is the only available carbon source, presumably due to the accumulation of the MicA repressor. We propose that MalH is part of a regulatory network that, during the transition phase, directly or indirectly promotes accumulation of high-affinity maltose transporters in the outer membrane by dampening competing pathways. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://tandf.figshare.com/articles/dataset/The_mRNA_derived_MalH_sRNA_contributes_to_alternative_ca... |
| Title | The mRNA derived MalH sRNA contributes to alternative carbon source utilization by tuning maltoporin expression in E. coli |
| Description | Previous high-throughput studies in Gram-negative bacteria identified a large number of 3'UTR fragments that potentially function as sRNAs. Here we extensively characterize the MalH sRNA. We show that MalH is a stable degradation intermediate derived from the 3' end of malG, which is part of the maltose uptake operon transcript malEFG. Unlike the majority of bacterial sRNAs, MalH is transiently expressed during the transition from the exponential to the stationary growth phase, suggesting that it contributes to adaptation to changes in nutrient availability. Over-expression of MalH reduces expression of general outer membrane porins and MicA, a repressor of the high-affinity maltose/maltodextrin transporter LamB. Disrupting MalH production and function significantly reduces lamB accumulation when maltose is the only available carbon source, presumably due to the accumulation of the MicA repressor. We propose that MalH is part of a regulatory network that, during the transition phase, directly or indirectly promotes accumulation of high-affinity maltose transporters in the outer membrane by dampening competing pathways. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://tandf.figshare.com/articles/dataset/The_mRNA_derived_MalH_sRNA_contributes_to_alternative_ca... |
| Title | The mRNA derived MalH sRNA contributes to alternative carbon source utilization by tuning maltoporin expression in E. coli |
| Description | Previous high-throughput studies in Gram-negative bacteria identified a large number of 3'UTR fragments that potentially function as sRNAs. Here we extensively characterize the MalH sRNA. We show that MalH is a stable degradation intermediate derived from the 3' end of malG, which is part of the maltose uptake operon transcript malEFG. Unlike the majority of bacterial sRNAs, MalH is transiently expressed during the transition from the exponential to the stationary growth phase, suggesting that it contributes to adaptation to changes in nutrient availability. Over-expression of MalH reduces expression of general outer membrane porins and MicA, a repressor of the high-affinity maltose/maltodextrin transporter LamB. Disrupting MalH production and function significantly reduces lamB accumulation when maltose is the only available carbon source, presumably due to the accumulation of the MicA repressor. We propose that MalH is part of a regulatory network that, during the transition phase, directly or indirectly promotes accumulation of high-affinity maltose transporters in the outer membrane by dampening competing pathways. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://tandf.figshare.com/articles/dataset/The_mRNA_derived_MalH_sRNA_contributes_to_alternative_ca... |
| Title | diffBUM-HMM: a robust statistical modeling approach for detecting RNA flexibility changes in high-throughput structure probing data |
| Description | Advancing RNA structural probing techniques with next-generation sequencing has generated demands for complementary computational tools to robustly extract RNA structural information amidst sampling noise and variability. We present diffBUM-HMM, a noise-aware model that enables accurate detection of RNA flexibility and conformational changes from high-throughput RNA structure-probing data. diffBUM-HMM is widely compatible, accounting for sampling variation and sequence coverage biases, and displays higher sensitivity than existing methods while robust against false positives. Our analyses of datasets generated with a variety of RNA probing chemistries demonstrate the value of diffBUM-HMM for quantitatively detecting RNA structural changes and RNA-binding protein binding sites. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | The manuscript was initially published on BioRXiv, which has already been cited twice and used to generate the results for a paper published in Plant Cell before our work was published in Genome Biology: 1. Reis, R. S., Deforges, J., Schmidt, R. R., Schippers, J. H. M. & Poirier, Y. An antisense noncoding RNA enhances translation via localised structural rearrangements of its cognate mRNA. Plant Cell 1381-1397 (2021) doi:10.1093/plcell/koab010. |
| URL | https://git.ecdf.ed.ac.uk/sgrannem/diffbum-hmm |
| Description | Collaboration with Benedikt Beckmann's group |
| Organisation | Humboldt University of Berlin |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | My group contributed to the development of a new method for globally identifying RNA-binding proteins in cells (PTex). I helped with the data analyses. We were also awarded an EMBO short-term fellowship that allowed a PhD student from the Beckmann lab to visit our group for training purposes. This knowledge exchange helped to strengthen the collaboration between our groups. |
| Collaborator Contribution | The Beckmann lab trained my post-doc on how to perform PTex on Staphylococcus aureus. In return, we trained a PhD student from his lab how to perform some of the techniques we developed over the years. As a result of this, we have developed improved approaches for the identification of RNA-binding proteins, and we have recently submitted a manuscript describing the first results generated by this collaboration. Unfortunately, at the beginning of 2023, Benedikt closed his lab and accepted a job in industry. |
| Impact | Urdaneta et al Nature Communications 2019; PMID: 30824702 Beckmann and Granneman 2019; PMID: 31602614 Chu et al Nature Communications 2022; PMID: PMC9130240 |
| Start Year | 2018 |
| Description | Collaboration with David Dockrell |
| Organisation | University of Edinburgh |
| Department | MRC Centre for Inflammation Research |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We are studying how specific S. aureus virulence factors interact with DNA and RNA. We are generating mutants that will subsequently be analyzed by the Dockrell group using in vitro and in vivo infection models |
| Collaborator Contribution | Prof. Dockrell is providing access to bespoke models for studying host-pathogen interactions. He is also training staff from my lab. |
| Impact | We submitted an MRC programme grant application in 2023 |
| Start Year | 2021 |
| Description | Collaboration with Emma Denham's group, Bath, UK |
| Organisation | University of Bath |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I helped train her Bioinformatics MSc student in performing analysis of next-generation sequencing data in Bacillus subtilis. We also performed high-throughput sequencing experiments for Emma's group and analysed the data. This generated essential preliminary data for future grant applications. |
| Collaborator Contribution | Emma's group has |
| Impact | This collaboration generated critical preliminary data for grant applications. |
| Start Year | 2018 |
| Description | Collaboration with Isabele Caldelari and Pascale Romby |
| Organisation | University of Strasbourg |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Their groups helped us with the in vitro validation of the sRNA-RNA interactions that we uncovered in our CLASH data |
| Collaborator Contribution | These collaborators used their expertise in RNA cleavage analysis and in vitro binding studies to corroborate some of our in vivo work. The aim is to extend our collaboration to other projects as well as there is quite a lot of synergy between the groups. |
| Impact | McKellar et al Nature Communications 2022; PMID: 35732654 |
| Start Year | 2020 |
| Description | Collaboration with Ronan Carroll's lab, Ohio University |
| Organisation | Ohio University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Ronan's lab has been helping us with performing assays to measure the levels of S. aureus toxin expression. |
| Collaborator Contribution | As above. Our collaborative work is now under revision in Nature Communications and we are aiming to submit a collaborative grant together in October 2022. |
| Impact | We currently have a manuscript describing our work under revision at Nature Communications. |
| Start Year | 2019 |