This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Queen's University directory, so their courses may be missing. Find their university profile.
Latest papers
YAP and TEAD Are Transcriptional Regulators of Neuroendocrine Differentiation and Growth in Carcinoid Cells.
The American journal of pathology · 2026 · senior author
Circular RNA Profiling Identifies circ5078 as a BMPR2-Derived Regulator of Endothelial Proliferation and Stress Responses.
Arteriosclerosis, thrombosis, and vascular biology · 2025
Deep sequencing reveals distinct microRNA-mRNA signatures that differentiate pancreatic neuroendocrine tumor from non-diseased pancreas tissue.
BMC cancer · 2025
Latest funding
- $1,071,000
Elucidating the role extracellular vesicles play in leukaemogenesis
CIHR · 2020 · Co-investigator
- $249,512
Advancing knowledge of highly heterogeneous neuroendocrine neoplasms through graph neural network modeling of post-transcriptional gene regulatory networks
SSHRC · 2020 · Principal investigator
- $105,000
Exploring microRNA biomarkers and mechanisms of disease in neuroendocrine neoplasms
CIHR · 2020 · Supervisor
19 publications.
YAP and TEAD Are Transcriptional Regulators of Neuroendocrine Differentiation and Growth in Carcinoid Cells.
Nanayakkara J, Yang X, Damiani S, Imtiaz T, Wang X, Anastasakis DG, Shah GM, Tyryshkin K, Hafner M, Yang X, Renwick N
Circular RNA Profiling Identifies circ5078 as a BMPR2-Derived Regulator of Endothelial Proliferation and Stress Responses.
VandenBroek MM, Sharp MC, Thompson P, Fagbola E, Quilty D, Mewburn JD, Theilmann AL, Dunham-Snary KJ, Hemnes AR, Cogan JD, Austin ED, Hamid R, Archer SL, Renwick N, Ormiston ML
Deep sequencing reveals distinct microRNA-mRNA signatures that differentiate pancreatic neuroendocrine tumor from non-diseased pancreas tissue.
Matyasovska N, Valkova N, Gala M, Bendikova S, Abdulhamed A, Palicka V, Renwick N, Čekan P, Paul E
A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification.
Imtiaz T, Nanayakkara J, Fang A, Jomaa D, Mayotte H, Damiani S, Javed F, Jones T, Kaczmarek E, Adebayo FO, Imtiaz U, Li Y, Zhang R, Mousavi P, Renwick N, Tyryshkin K
A transcriptome analysis of basal and stimulated VWF release from endothelial cells derived from patients with type 1 VWD.
Kloosterman R, Zago-Schmitt M, Grabell J, Thibeault L, De Lima PA, Bowman M, Tyryshkin K, Hindmarch CCT, Renwick N, James P
A Computational Approach to Identification of Candidate Biomarkers in High-Dimensional Molecular Data.
Gerolami J, Wong JJM, Zhang R, Chen T, Imtiaz T, Smith M, Jamaspishvili T, Koti M, Glasgow JI, Mousavi P, Renwick N, Tyryshkin K
Emerging Evidence of Noncoding RNAs in Bleb Scarring after Glaucoma Filtration Surgery.
Yu S, Tam ALC, Campbell R, Renwick N
Discriminating Neoplastic from Nonneoplastic Tissues Using an miRNA-Based Deep Cancer Classifier.
Kaczmarek E, Pyman B, Nanayakkara J, Tuschl T, Tyryshkin K, Renwick N, Mousavi P
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures.
Kaczmarek E, Nanayakkara J, Sedghi A, Pesteie M, Tuschl T, Renwick N, Mousavi P
Multi-Omic Graph Transformers for Cancer Classification and Interpretation.
Kaczmarek E, Jamzad A, Imtiaz T, Nanayakkara J, Renwick N, Mousavi P
Elucidating the role extracellular vesicles play in leukaemogenesis
Principal investigators: Abraham, Sheela A
Keywords: Chronic Myeloid Leukaemia; Clonal Haematopoiesis; Extracellular Vesicles; Haematopoietic Stem Cells; Leukaemia
Advancing knowledge of highly heterogeneous neuroendocrine neoplasms through graph neural network modeling of post-transcriptional gene regulatory networks
Principal investigators: Renwick, Neil
Keywords: neuroendocrine neoplasms post-transcriptional gene regulation microRNAs RNA-binding proteins RNA targeting deep learning graph neural networks data representation molecular classification
Exploring microRNA biomarkers and mechanisms of disease in neuroendocrine neoplasms
Principal investigators: Nanayakkara, Jinadari
Keywords: Biomarker Development; Chip-Sequencing; Graph Theory; Microrna; Molecular Mechanisms; Network Models; Neuroendocrine Neoplasms; Post-Transcriptional Gene Regulation; Rna-Based Therapeutics; Rna-Sequencing
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Kathrin Tyryshkin and Neil Renwick: 11 shared papers
- Parvin Mousavi and Neil Renwick: 6 shared papers
- Madhuri Koti and Kathrin Tyryshkin: 6 shared papers
- Parvin Mousavi and Kathrin Tyryshkin: 5 shared papers
- Xiaolong Yang and Neil Renwick: 2 shared papers
- Robert Campbell and Neil Renwick: 1 shared paper
- Parvin Mousavi and Madhuri Koti: 1 shared paper
- Xiaolong Yang and Kathrin Tyryshkin: 1 shared paper
- Madhuri Koti and Neil Renwick: 1 shared paper
- Simron Singh and Kathrin Tyryshkin: 1 shared paper
- Simron Singh and Neil Renwick: 1 shared paper
- Paula James and Kathrin Tyryshkin: 1 shared paper
- Paula James and Neil Renwick: 1 shared paper
- School of Computing
- Cell biology
- Biomedical and Molecular Sciences
- Ophthalmology
- Other
Co-authors at Queen's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Kathrin Tyryshkin
Faculty
11 shared papers, latest 2026
Parvin Mousavi
School of Computing
6 shared papers, latest 2023
Xiaolong Yang
Cell biology
2 shared papers, latest 2026
Paula James
Faculty
1 shared papers, latest 2023
Madhuri Koti
Biomedical and Molecular Sciences
1 shared papers, latest 2022
Robert Campbell
Ophthalmology
1 shared papers, latest 2022
Simron Singh
Faculty
1 shared papers, latest 2020
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