UK-US platform for the study of RNA structure in living cells
Lead Research Organisation:
John Innes Centre
Department Name: Cell and Develop Biology
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
Duncan S
(2023)
Reference genes for quantitative Arabidopsis single molecule RNA fluorescence in situ hybridization.
in Journal of experimental botany
Li Q
(2023)
Capture the in vivo intact RNA structurome by CAP-STRUCTURE-seq.
in Methods in enzymology
Manavella PA
(2023)
Beyond transcription: compelling open questions in plant RNA biology.
in The Plant cell
Norris M
(2017)
FoldAtlas: a repository for genome-wide RNA structure probing data.
in Bioinformatics (Oxford, England)
Wu H
(2024)
Unveiling RNA structure-mediated regulations of RNA stability in wheat
in Nature Communications
Yang B
(2023)
Prediction of DNA i-Motifs Via Machine Learning
Yang M
(2020)
Intact RNA structurome reveals mRNA structure-mediated regulation of miRNA cleavage in vivo.
in Nucleic acids research
Yang M
(2022)
In vivo single-molecule analysis reveals COOLAIR RNA structural diversity.
in Nature
| Description | Dr. Zoe Walle's and Dr. Yiliang Ding' groups have successfully obtained a BBSRC grant working on aging and we are working on one manuscript regarding I-motif function in plants. We were submitting a NSF/BBSRC grant in Jan. Dr. Zoe Walle's and Dr. Yiliang Ding' groups have developed the first computational prediction platform for predicting i-motif structures and built the webserver for the community (https://im-seeker.org). |
| Exploitation Route | We had our two-day collaboration workshop in UCL, London (Dr Zoe Waller's lab hosted the workshop). |
| Sectors | Agriculture Food and Drink Environment Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
| URL | http://www.uea.ac.uk/pharmacy/news-and-events/-/asset_publisher/w7O8j7rUDTtg/blog/id/31426853 |
| Description | 22BBSRC-NSF/BIO: Deciphering the RNA structure code for viroid infections |
| Amount | £515,938 (GBP) |
| Funding ID | BB/Y002849/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2024 |
| End | 05/2027 |
| Description | i-Motifs: Sequence, Structure and Function in Ageing |
| Amount | £64,268 (GBP) |
| Funding ID | BB/W000962/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2022 |
| End | 12/2025 |
| Title | Additional file 2 of RNA G-quadruplex structures exist and function in vivo in plants |
| Description | Additional file 2: Table S1. G-rich regions with folding potential identified by rG4-seq with K+. TableS2. G-rich regions with folding potential identified by rG4-seq with K++PDS. TableS3. Gini index of SHALiPE profiles in vitro in the presence of Li+ and K+. TableS4. In vivo folding scores of Arabidopsis G-rich regions. TableS5. In vivo folding scores of rice G-rich regions. TableS6. Gene pairs of orthologues with RG4s in Arabidopsis and rice. TableS7. Primers used in this study. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_RNA_G-quadruplex_structure... |
| Title | Additional file 2 of RNA G-quadruplex structures exist and function in vivo in plants |
| Description | Additional file 2: Table S1. G-rich regions with folding potential identified by rG4-seq with K+. TableS2. G-rich regions with folding potential identified by rG4-seq with K++PDS. TableS3. Gini index of SHALiPE profiles in vitro in the presence of Li+ and K+. TableS4. In vivo folding scores of Arabidopsis G-rich regions. TableS5. In vivo folding scores of rice G-rich regions. TableS6. Gene pairs of orthologues with RG4s in Arabidopsis and rice. TableS7. Primers used in this study. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_RNA_G-quadruplex_structure... |
| Title | Additional file 2 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 2: TableS1. Translation efficiency of homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 2 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 2: TableS1. Translation efficiency of homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 3 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 3: TableS2. Base-pairing probability of RNA structures of homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 3 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 3: TableS2. Base-pairing probability of RNA structures of homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 4 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 4: TableS3. The list of single nucleotide variations between homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 4 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 4: TableS3. The list of single nucleotide variations between homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 5 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 5: TableS4. The list of riboSNitch between homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 5 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 5: TableS4. The list of riboSNitch between homoeologs of A and B subgenome in tetraploid Kronos. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 6 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 6: TableS5. Primers used in this study. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_6_of_Wheat_in_vivo_RNA_structur... |
| Title | Additional file 6 of Wheat in vivo RNA structure landscape reveals a prevalent role of RNA structure in modulating translational subgenome expression asymmetry |
| Description | Additional file 6: TableS5. Primers used in this study. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | https://springernature.figshare.com/articles/dataset/Additional_file_6_of_Wheat_in_vivo_RNA_structur... |
| Title | G4Atlas: a comprehensive transcriptome-wide G-quadruplex database |
| Description | RNA G-quadruplex (rG4) is a vital RNA tertiary structure motif that involves the base pairs on both Hoogsteen and Watson-Crick faces of guanines. rG4 is of great importance in the post-transcriptional regulation of gene expression. Experimental technologies have advanced to identify in vitro and in vivo rG4s across diverse transcriptomes. Building on these recent advances, here we present G4Atlas, the first transcriptome-wide G-quadruplex database, in which we have collated, classified, and visualized transcriptome rG4 experimental data, generated from rG4-seq, chemical profiling and ligand-binding methods. Our comprehensive database includes transcriptome-wide rG4s generated from 82 experimental treatments and 238 samples across ten species. In addition, we have also included RNA secondary structure prediction information across both experimentally identified and unidentified rG4s to enable users to display any potential competitive folding between rG4 and RNA secondary structures. As such, G4Atlas will enable users to explore the general functions of rG4s in diverse biological processes. In addition, G4Atlas lays the foundation for further data-driven deep learning algorithms to examine rG4 structural features. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | RNA G-quadruplex (rG4) is a vital RNA tertiary structure motif that involves the base pairs on both Hoogsteen and Watson-Crick faces of guanines. rG4 is of great importance in the post-transcriptional regulation of gene expression. Experimental technologies have advanced to identify in vitro and in vivo rG4s across diverse transcriptomes. Building on these recent advances, here we present G4Atlas, the first transcriptome-wide G-quadruplex database, in which we have collated, classified, and visualized transcriptome rG4 experimental data, generated from rG4-seq, chemical profiling and ligand-binding methods. Our comprehensive database includes transcriptome-wide rG4s generated from 82 experimental treatments and 238 samples across ten species. In addition, we have also included RNA secondary structure prediction information across both experimentally identified and unidentified rG4s to enable users to display any potential competitive folding between rG4 and RNA secondary structures. As such, G4Atlas will enable users to explore the general functions of rG4s in diverse biological processes. In addition, G4Atlas lays the foundation for further data-driven deep learning algorithms to examine rG4 structural features. |
| URL | https://www.g4atlas.org |
| Title | Prediction of DNA i-motifs via machine learning |
| Description | i-Motifs (iMs), are secondary structures formed in cytosine-rich DNA sequences and are involved in multiple functions in the genome. Although putative iM forming sequences are widely distributed in the human genome, the folding status and strength of putative iMs vary dramatically. Much previous research on iM has focused on assessing the iM folding properties using biophysical experiments. However, there are no dedicated computational tools for predicting the folding status and strength of iM structures. Here, we introduce a machine learning pipeline, iM-Seeker, to predict both folding status and structural stability of DNA iMs. The programme iM-Seeker incorporates a Balanced Random Forest classifier trained on genome-wide iMab antibody-based CUT&Tag sequencing data to predict the folding status and an Extreme Gradient Boosting regressor to estimate the folding strength according to both literature biophysical data and our in-house biophysical experiments. iM-Seeker predicts DNA iM folding status with a classification accuracy of 81% and estimates the folding strength with coefficient of determination (R2) of 0.642 on the test set. Model interpretation confirms that the nucleotide composition of the C-rich sequence significantly affects iM stability, with a positive correlation with sequences containing cytosine and thymine and a negative correlation with guanine and adenine. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | The first computational model for predicting i-motifs. |
| URL | https://im-seeker.org |
| Title | Reference genes for quantitative Arabidopsis single molecule RNA fluorescence in situ hybridization |
| Description | Abstract Subcellular mRNA quantities and spatial distributions are fundamental for driving gene regulatory programmes. Single molecule RNA fluorescence in situ hybridization (smFISH) uses fluorescent probes to label individual mRNA molecules, thereby facilitating both localization and quantitative studies. Validated reference mRNAs function as positive controls and are required for calibration. Here we present selection criteria for the first set of Arabidopsis smFISH reference genes. Following sequence and transcript data assessments, four mRNA probe sets were selected for imaging. Transcript counts per cell, correlations with cell size, and corrected fluorescence intensities were all calculated for comparison. In addition to validating reference probe sets, we present sample preparation steps that can retain green fluorescent protein fluorescence, thereby providing a method for simultaneous RNA and protein detection. In summary, our reference gene analyses, modified protocol, and simplified quantification method together provide a firm foundation for future quantitative single molecule RNA studies in Arabidopsis root apical meristem cells. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt4b8gtvp |
| Description | UK-US platform collaborator |
| Organisation | Purdue University |
| Department | Department of Chemistry |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | UK-US platform for the study of RNA structure in living cells |
| Collaborator Contribution | The main scientific objectives: • To forge opportunities for direct communications and knowledge exchange between both experimental scientists and mathematicians/bioinformaticians. • To apply Structure-seq methodologies in yeast and other organisms. • To develop new methods to integrate RNA-protein interaction data with in vivo RNA structural information. • To establish a data-sharing pipeline between UK and USA labs. • To train students and post-docs in both wet-bench experiments and bioinformatics analysis through exchange visits. • To develop and strengthen UK-US collaborations on the functional study of RNA structure in gene regulation through workshops and Skype meetings. • To discover a broad impact of the regulatory role of RNA structure in RNA biology. 1) Prof. Sharon Aviran's lab develops statistical models and statistical inference methods for analysis of RNA structure and dynamics by combining experiments with statistical and biophysical principles. She previously introduced a novel approach to modeling and to automatically processing next-generation sequencing data from a new generation of multiplexed RNA structure mapping assays. This work pioneered the use of mathematical modelling and statistically sound analysis methodology for robust and efficient quantification of chemical mapping information, an approach that is now becoming a standard in the field. She received a K99/R00 award from NIH/NHGRI to pursue work on modelling and analysis of RNA structural dynamics. Prof. Aviran's lab and Dr. Ding's lab have initiated collaborative discussions to develop a novel platform that combines innovative computational and experimental methods. 2) Prof. Elizabeth Tran has established a strong reputation in RNA biology. She has determined the functions of RNA helicases in the regulation of RNA-protein complex that are critically important since DEAD-BOX proteins and regulatory cofactors have been linked to cancer (breast, colon, lung), neurodegenerative disorders, and viral replication (HIV). She has also studied the role of long non-coding RNAs in gene regulation. Prof. Aviran and Dr. Ding recently established informal collaborations with Prof. Tran's lab with initial suggestions on deep sequencing analysis and RNA structure probing techniques. 3) Dr. Zoë Waller's lab has substantial expertise in organic synthesis, biophysics, nucleic acid chemistry and molecular biology. Her lab has been studying one of the well-known structure motifs: i-Motif. She has extensive experience in studying the biophysics and structural dynamics and conformations of non-canonical nucleic acids. She has also generated small molecules to alter the formation of DNA/RNA structure formation; these have great potential in therapeutic and nanotechnology applications. Dr. Waller currently has a BBSRC-funded PhD position (2016) open to study the change of RNA structure motifs in response to stress. Dr. Ding is involved in this PhD program as co-supervisor. Both labs are currently looking for the global structural and biophysical features of RNA from high throughput deep sequencing data. 4) Dr. Yiliang Ding's lab has developed a novel and powerful platform, Structure-seq, to study RNA structure in vivo and across diverse species at the genome-wide scale. Her lab is currently developing new in vivo genome-wide platforms to detect RNA-protein interactions and to simultaneously improve in vivo RNA structure prediction. |
| Impact | The 1st Workshop Program UK-US platform for the study of RNA structure in living cells was from 8th Aug to 10th Aug 2016. It has 21 people from four labs attending this workshop to initiate collaborations. |
| Start Year | 2016 |
| Description | UK-US platform collaborator |
| Organisation | University of California, Davis |
| Department | Genome and Biomedical Sciences Facility |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | UK-US platform for the study of RNA structure in living cells |
| Collaborator Contribution | The main scientific objectives: • To forge opportunities for direct communications and knowledge exchange between both experimental scientists and mathematicians/bioinformaticians. • To apply Structure-seq methodologies in yeast and other organisms. • To develop new methods to integrate RNA-protein interaction data with in vivo RNA structural information. • To establish a data-sharing pipeline between UK and USA labs. • To train students and post-docs in both wet-bench experiments and bioinformatics analysis through exchange visits. • To develop and strengthen UK-US collaborations on the functional study of RNA structure in gene regulation through workshops and Skype meetings. • To discover a broad impact of the regulatory role of RNA structure in RNA biology. 1) Prof. Sharon Aviran's lab develops statistical models and statistical inference methods for analysis of RNA structure and dynamics by combining experiments with statistical and biophysical principles. She previously introduced a novel approach to modeling and to automatically processing next-generation sequencing data from a new generation of multiplexed RNA structure mapping assays. This work pioneered the use of mathematical modelling and statistically sound analysis methodology for robust and efficient quantification of chemical mapping information, an approach that is now becoming a standard in the field. She received a K99/R00 award from NIH/NHGRI to pursue work on modelling and analysis of RNA structural dynamics. Prof. Aviran's lab and Dr. Ding's lab have initiated collaborative discussions to develop a novel platform that combines innovative computational and experimental methods. 2) Prof. Elizabeth Tran has established a strong reputation in RNA biology. She has determined the functions of RNA helicases in the regulation of RNA-protein complex that are critically important since DEAD-BOX proteins and regulatory cofactors have been linked to cancer (breast, colon, lung), neurodegenerative disorders, and viral replication (HIV). She has also studied the role of long non-coding RNAs in gene regulation. Prof. Aviran and Dr. Ding recently established informal collaborations with Prof. Tran's lab with initial suggestions on deep sequencing analysis and RNA structure probing techniques. 3) Dr. Zoë Waller's lab has substantial expertise in organic synthesis, biophysics, nucleic acid chemistry and molecular biology. Her lab has been studying one of the well-known structure motifs: i-Motif. She has extensive experience in studying the biophysics and structural dynamics and conformations of non-canonical nucleic acids. She has also generated small molecules to alter the formation of DNA/RNA structure formation; these have great potential in therapeutic and nanotechnology applications. Dr. Waller currently has a BBSRC-funded PhD position (2016) open to study the change of RNA structure motifs in response to stress. Dr. Ding is involved in this PhD program as co-supervisor. Both labs are currently looking for the global structural and biophysical features of RNA from high throughput deep sequencing data. 4) Dr. Yiliang Ding's lab has developed a novel and powerful platform, Structure-seq, to study RNA structure in vivo and across diverse species at the genome-wide scale. Her lab is currently developing new in vivo genome-wide platforms to detect RNA-protein interactions and to simultaneously improve in vivo RNA structure prediction. |
| Impact | The 1st Workshop Program UK-US platform for the study of RNA structure in living cells was from 8th Aug to 10th Aug 2016. It has 21 people from four labs attending this workshop to initiate collaborations. |
| Start Year | 2016 |
| Description | UK-US platform collaborator |
| Organisation | University of East Anglia |
| Department | School of Environmental Sciences UEA |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UK-US platform for the study of RNA structure in living cells |
| Collaborator Contribution | The main scientific objectives: • To forge opportunities for direct communications and knowledge exchange between both experimental scientists and mathematicians/bioinformaticians. • To apply Structure-seq methodologies in yeast and other organisms. • To develop new methods to integrate RNA-protein interaction data with in vivo RNA structural information. • To establish a data-sharing pipeline between UK and USA labs. • To train students and post-docs in both wet-bench experiments and bioinformatics analysis through exchange visits. • To develop and strengthen UK-US collaborations on the functional study of RNA structure in gene regulation through workshops and Skype meetings. • To discover a broad impact of the regulatory role of RNA structure in RNA biology. 1) Prof. Sharon Aviran's lab develops statistical models and statistical inference methods for analysis of RNA structure and dynamics by combining experiments with statistical and biophysical principles. She previously introduced a novel approach to modeling and to automatically processing next-generation sequencing data from a new generation of multiplexed RNA structure mapping assays. This work pioneered the use of mathematical modelling and statistically sound analysis methodology for robust and efficient quantification of chemical mapping information, an approach that is now becoming a standard in the field. She received a K99/R00 award from NIH/NHGRI to pursue work on modelling and analysis of RNA structural dynamics. Prof. Aviran's lab and Dr. Ding's lab have initiated collaborative discussions to develop a novel platform that combines innovative computational and experimental methods. 2) Prof. Elizabeth Tran has established a strong reputation in RNA biology. She has determined the functions of RNA helicases in the regulation of RNA-protein complex that are critically important since DEAD-BOX proteins and regulatory cofactors have been linked to cancer (breast, colon, lung), neurodegenerative disorders, and viral replication (HIV). She has also studied the role of long non-coding RNAs in gene regulation. Prof. Aviran and Dr. Ding recently established informal collaborations with Prof. Tran's lab with initial suggestions on deep sequencing analysis and RNA structure probing techniques. 3) Dr. Zoë Waller's lab has substantial expertise in organic synthesis, biophysics, nucleic acid chemistry and molecular biology. Her lab has been studying one of the well-known structure motifs: i-Motif. She has extensive experience in studying the biophysics and structural dynamics and conformations of non-canonical nucleic acids. She has also generated small molecules to alter the formation of DNA/RNA structure formation; these have great potential in therapeutic and nanotechnology applications. Dr. Waller currently has a BBSRC-funded PhD position (2016) open to study the change of RNA structure motifs in response to stress. Dr. Ding is involved in this PhD program as co-supervisor. Both labs are currently looking for the global structural and biophysical features of RNA from high throughput deep sequencing data. 4) Dr. Yiliang Ding's lab has developed a novel and powerful platform, Structure-seq, to study RNA structure in vivo and across diverse species at the genome-wide scale. Her lab is currently developing new in vivo genome-wide platforms to detect RNA-protein interactions and to simultaneously improve in vivo RNA structure prediction. |
| Impact | The 1st Workshop Program UK-US platform for the study of RNA structure in living cells was from 8th Aug to 10th Aug 2016. It has 21 people from four labs attending this workshop to initiate collaborations. |
| Start Year | 2016 |
| Description | 2nd virtual workshops |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | 18 people attended for the virtual workshop in discussing the collaborative projects. |
| Year(s) Of Engagement Activity | 2021 |
| Description | 3rd virtual workshops |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | 12 people attended for the workshop |
| Year(s) Of Engagement Activity | 2021 |
| Description | 4th workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | 18 people attended for the UCL workshop in discussing the collaborative projects. |
| Year(s) Of Engagement Activity | 2017,2018,2019,2020,2021,2022,2023 |
| Description | Biophysics and Biology workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Dr Zoe Waller and Dr Yiliang Ding organized a two-day workshop on biophysics and biology that promote the scientific communications between Norwich Research Park, UCL and Imperial College. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Biophysics workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Study participants or study members |
| Results and Impact | Biophysics in person workshop in Norwich with 16 people attended. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Institute and university visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Two PhD students, Mirko Ledda and Krishna Choudhary from Prof. Sharon Aviran's lab visited John Innes Centre in 2016-2017 to work together on the data processing issues. The meetings were hold at John Innes Centre with 10 lab members from both Dr. Zoe Waller's lab and Dr. Yiliang Ding's lab. |
| Year(s) Of Engagement Activity | 2016,2017 |
| Description | School Visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Study participants or study members |
| Results and Impact | Several local discussion meetings were hold between Dr. Zoe Waller's lab and Dr. Yiliang Ding's lab. The discussion on the preliminary data analysis for a BBSRC grant application were hold between the lab members in both labs. Two labs will submit another grant application in 2018. |
| Year(s) Of Engagement Activity | 2017,2018 |
| Description | The 1st Workshop Program UK-US platform for the study of RNA structure in living cells |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | The 1st Workshop Program UK-US platform for the study of RNA structure in living cells was from 8th Aug to 10th Aug 2016. It has 21 people from four labs attending this workshop to initiate collaborations. We have three-day workshop with 15 excellent talks from the PIs, postdocs and students from the four labs involved in this partnering award. |
| Year(s) Of Engagement Activity | 2016 |
| Description | The Plant RNA Structure Symposium 2021 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Over 250 people attended for the Plant RNA Structure Symposium 2021. The 2021 Plant RNA Structure Symposium, will take place from Tuesday 7 September - Thursday 9 September. It will be hosted online and is being run by the John Innes Centre, in collaboration with the University of Cambridge RNA structure plays a central role in the post-transcriptional regulation of gene expression, such as RNA maturation, RNA stability, and translation. With the advance of newly developed RNA structure probing methods, the study of RNA structure has been revolutionarily transformed. Recent studies have revealed new insights into regulatory mechanisms of RNA biological processes in plants. Furthermore, the identifications of cis-regulatory RNA structure elements in response to temperature and salt stress improved our understanding of how plants adapt to a changing environment. Apart from these studies in mRNAs, new studies have determined the RNA structure features of different types of non-coding RNAs and discovered how non-coding RNAs function in plants. Additionally, some latest studies in crops have provided novel perceptions in RNA structure evolution and RNA structure-guided crop breeding. Our plant RNA structure symposium will gather these recent advances in understanding the functional role of RNA structure in plants. This symposium is sponsored by Frontiers in Plant Science and associated with a special research topic 'Plant RNA Structure' in Frontiers in Plant Science. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.jic.ac.uk/event/plant-rna-structure-symposium/ |
| Description | The RNA Structure Conference 2021 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Over 500 participates attended for the RNA Structure Conference 2021. The organizers envision that this conference will be unique in many aspects, but in particular will be sharply focused on the state-of-the-art methods being developed to measure RNA structure in living systems and how the merge of chemical probing with transcriptomics has ushered in a new era of characterizing RNA function. In addition, we are aiming to highlight how RNA structure, and our understanding of RNA structure, is informing the design of small molecules that are poised to be next-generation medicines to treat disease. |
| Year(s) Of Engagement Activity | 2021 |