Dae-Kyum Kim (PhD)
Assistant Professor
PhD
Currently supervising students
In going through these transitions between various fields, I gained strong expertise within both experimental and computational backgrounds, which has enabled me to design a novel functional genomics pipeline to identify new biomarkers for human disease. Now, as a new principal investigator at McGill, I would like to further pursue the translation of functional genomics tools to precision medicine. By exploring novel approaches to evaluate proteome-scale gene overexpression effects under various conditions, I would like to find novel drug combinations to combat therapeutic resistance, especially DCF and FLOT therapeutic resistance for gastro-esophageal cancer.
Gastro-Esophageal Cancer
Throughout my career, I have focused on generating and integrating functional genomics data to propose novel hypotheses for experimental validation or new clinical biomarkers. During my undergraduate training, I developed a sequence comparison method to classify proteins by structure. My PhD research involved high-throughput screening methods like mass spectrometry and RNA-seq to study extracellular vesicles, leading to the creation of the EVpedia database. In my postdoctoral work, I explored protein–protein interactions to understand human disease mechanisms, contributing to the Human Reference Interactome (HuRI) and identifying interactions between SARS-CoV-2 and host proteins. Now, as a principal investigator at McGill University Health Centre, I aim to translate functional genomics tools to precision medicine, focusing on novel drug combinations to combat therapeutic resistance in gastro-esophageal cancer. My experience in leading large teams and efficient administrative skills will support my efforts to identify new biomarkers and therapeutic targets.
1. Kim DK*, WellerB*, Lin CW*, Sheykhkarimli D*, Knapp JJ*, Dugied G*, …, Demeret C#, Vidal M#, Calderwood MA#, Roth FP#, Falter-Braun P#. A proteome-scale map of the SARS-CoV-2 human contactome. Nat Biotechnol. 2023 Jan;41(1):140-149.
2. Luck K*, Kim DK*, Lambourne L*, Spirohn K*, …, Tavernier J#, Hill DE#, Vidal M#, Roth FP#, Calderwood MA#. A reference map of the human binary protein interactome. Nature. 2020 Apr;580(7803):402–8. PMCID: PMC7169983
3. Kim DK*, Lee J*, …, Gho YS. EVpedia: A community web portal for extracellular vesicles research. Bioinformatics. 2015 Mar 15;31(6):933–9. PMCID: PMC4375401
4. Lim HJ*, Yoon H*, Kim H*, Kang YW, Kim JE, Kim OY, Lee EY, Twizere JC, Rak J#, Kim DK#. Extracellular vesicle proteomes shed light on the evolutionary, interactive, and functional divergence of their biogenesis mechanisms. Front Cell Dev Biol. 2021 Oct 1;9:734950. PMCID: PMC8517337
5. Yu J*, Sane S*, Kim JE*, Yun S*, Kim HJ, Jo KB, Wright JP, Khoshdoozmasouleh N, Lee K, Oh HT, Thiel K, Parvin A, Williams X, Hannon C, Lee H#, Kim DK#. Biogenesis and delivery of extracellular vesicles: harnessing the power of EVs for diagnostics and therapeutics. Frontiers in Molecular Biosciences. 2024 Jan 3:10:1330400.
