Miles W. Mee

ORCID: 0000-0002-9389-0430
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About
Contact & Profiles
Research Areas
  • Bioinformatics and Genomic Networks
  • Microbial Metabolic Engineering and Bioproduction
  • Veterinary Oncology Research
  • Protein Structure and Dynamics
  • Virus-based gene therapy research
  • Advanced Proteomics Techniques and Applications
  • Lymphoma Diagnosis and Treatment
  • Genomics and Phylogenetic Studies
  • Cancer-related gene regulation
  • Biotin and Related Studies
  • Computational Drug Discovery Methods
  • Ubiquitin and proteasome pathways
  • Hippo pathway signaling and YAP/TAZ
  • CRISPR and Genetic Engineering
  • RNA Research and Splicing
  • Genomics and Chromatin Dynamics

University of Guelph
2022-2024

University of Toronto
2019-2024

Ontario Institute for Cancer Research
2020-2022

10.1038/s41586-020-2188-x article EN Nature 2020-04-08
Marta Paczkowska Jonathan Barenboim Nardnisa Sintupisut Natalie S. Fox Helen Zhu and 95 more Diala Abd-Rabbo Miles W. Mee Paul C. Boutros Federico Abascal Samirkumar B. Amin Gary D. Bader Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander

Multi-omics datasets represent distinct aspects of the central dogma molecular biology. Such high-dimensional profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple using statistical fusion, rationalizes contributing evidence highlights associated genes. As part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing from...

10.1038/s41467-019-13983-9 article EN cc-by Nature Communications 2020-02-05

Abstract In recent decades, the development of new drugs has become increasingly expensive and inefficient, molecular mechanisms most pharmaceuticals remain poorly understood. response, computational systems network medicine tools have emerged to identify potential drug repurposing candidates. However, these often require complex installation lack intuitive visual mining capabilities. To tackle challenges, we introduce Drugst.One, a platform that assists specialized in becoming...

10.1093/nar/gkae388 article EN cc-by-nc Nucleic Acids Research 2024-05-23

Abstract Global insights into cellular organization and function require comprehensive understanding of interactome networks. Similar to how a reference genome sequence revolutionized human genetics, map the network is critical fully understand genotype-phenotype relationships. Here we present first “all-by-all” binary map, or “HuRI”. With ~53,000 high-quality protein-protein interactions (PPIs), HuRI approximately four times larger than information curated from small-scale studies available...

10.1101/605451 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-04-10

Deciphering the functional impact of genetic variation is required to understand phenotypic diversity and molecular mechanisms inherited disease cancer. While millions variants are now mapped in genome sequencing projects, distinguishing remains a major challenge. Protein-coding can be interpreted using post-translational modification (PTM) sites that core components cellular signaling networks controlling processes pathways. ActiveDriverDB an interactive proteo-genomics database uses more...

10.3389/fcell.2021.626821 article EN cc-by Frontiers in Cell and Developmental Biology 2021-03-23

Knowing which proteins interact with each other is essential information for understanding how most biological processes at the cellular and organismal level operate their perturbation can cause disease. Continuous technical methodological advances over last two decades have led to many genome-wide systematically-generated protein–protein interaction (PPI) maps. To help store, visualize, analyze disseminate these specialized experimental datasets via web, we developed freely-available...

10.1016/j.jmb.2022.167603 article EN cc-by Journal of Molecular Biology 2022-04-26

Summary Hundreds of different protein complexes that perform important functions across all cellular processes, collectively comprising the “complexome” an organism, have been identified 1 . However, less is known about fraction interactome exists outside complexome, in “outer-complexome”. To investigate features “inner”- versus outer-complexome organisation yeast, we generated a high-quality atlas binary protein-protein interactions (PPIs), combining three previous maps 2–4 and new...

10.1101/2021.03.16.435663 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-03-17

Canine lymphoma, the most common hematological cancer in dogs, shares many molecular and clinical characteristics with human Non-Hodgkin lymphoma (NHL). The standard treatment for canine is "CHOP" multiagent chemotherapy protocol consisting of Cyclophosphamide, Doxorubicin (Hydroxydaunorubicin), Vincristine (Oncovin™), Prednisone. Approximately 70-85% patients treated CHOP achieve remission. However, duration remission varies majority dogs eventually relapse. To identify possible biomarkers...

10.1186/s13104-022-06003-5 article EN cc-by BMC Research Notes 2022-03-22

Abstract The standard treatment for canine lymphoma is the CHOP chemotherapy regimen. Proteasome inhibitors have been employed with of human haematological malignancies but remain to be fully explored in lymphoma. We identified an association between poor response and high mRNA expression levels proteasomal subunits a cohort 15 patients, sought determine effect proteasome on viability B‐cell cell line (CLBL‐1). aim this study was investigate whether sensitize these cells agents doxorubicin,...

10.1111/vco.12957 article EN cc-by Veterinary and Comparative Oncology 2024-01-18

The majority of canine lymphoma patients treated with the standard care, CHOP chemotherapy protocol, initially achieve remission but eventually relapse a multi-drug-resistant phenotype. This study assesses gene expression profiles tumor cell populations using RNA-Seq data from 15 matched patient samples taken prior to treatment and again six weeks into CHOP. Two distinct clusters were present in t-SNE dimensionality reduction profiles. There was significant difference progression-free...

10.3390/vetsci11110540 article EN cc-by Veterinary Sciences 2024-11-05
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