Enes K. Ergin

University of British Columbia — Canada

Chemistry · Physical Sciences

5h-index163citations29works0.82yr avg
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Research Topics

Advanced Proteomics Techniques and Applications(22), Acute Lymphoblastic Leukemia research(21), Glycosylation and Glycoproteins Research(16), Lung Cancer Research Studies(6), Bioinformatics and Genomic Networks(2)

Publications29 total

ProteoForge: An Imputation-Aware Framework for Differential Proteoform Discovery in Bottom-Up Proteomics
2025
Proteomics and personalized PDX models identify treatment for a progressive malignancy within an actionable timeframe
EMBO Molecular Medicine·2025Open Access
Proteomics and personalized patient-derived xenograft models identify treatment opportunities for a progressive malignancy within a clinically actionable timeframe and change care
2024Open Access
Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems
Journal of Proteome Research·2024· 3 citedOpen Access
Targetable lesions and proteomes predict therapy sensitivity through disease evolution in pediatric acute lymphoblastic leukemia
Nature Communications·2023· 10 citedOpen Access
SQuAPP—simple quantitative analysis of proteins and PTMs
Bioinformatics·2022· 5 cited
Persistence of targetable lesions, predicted therapy sensitivity and proteomes through disease evolution in pediatric acute lymphoblastic leukemia
2022· 1 citedOpen Access
PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Journal of Experimental & Clinical Cancer Research·2021· 24 citedOpen Access
Additional file 4 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 14 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 7 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 3 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 9 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 13 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 12 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 10 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 15 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 18 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 8 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
Additional file 16 of PDX models reflect the proteome landscape of pediatric acute lymphoblastic leukemia but divert in select pathways
Figshare·2021Open Access
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Frequent Co-authors

Philipp F. Lange(29), Chinten James Lim(24), Gregor S. D. Reid(24), Anuli C. Uzozie(23), Samuel S. H. Weng(22), Lorenz Nierves(22), Janice Tsui(22), Nina Rolf(22), Amanda Lorentzian(22), Theodore G. Smith(20), Christopher A. Maxwell(19), Christopher A. Maxwell(5), Fatih Demir(2), Sabrina Dirnberger(2), Domenic Tuscher(2), Pitter F. Huesgen(2), Jenna Rever(2), Meiyun Guo(2), Neha M. Akella(2), Agustina Conrrero(2)