Author

C. L. Hisey

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 4 Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 3 Approach:experimental assay· 3 Organism:human· 3 Research Focus:clustering· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

L. W. Chamley· 5 shared C. Blenkiron· 3 shared A. Artuyants· 2 shared E. Reategui· 2 shared M. Kazemzadeh· 2 shared M. Lowe· 2 shared M. Martinez-Calderon· 2 shared N. G. R. Broderick· 2 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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5 shared papersBioengineering

L. W. Chamley

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Author profile →

6 papers

Recent·Most cited

Limiting Brownian Motion to Enhance Immunogold Phenotyping and Superimpose Optical and Non-Optical Single-EP Analyses

K. T. Nguyen, X. Y. Rima, C. L. Hisey, J. Doon-Ralls, C. K. Nagaraj, E. Reategui

The paper introduces a technique to combine optical and non-optical single-EP analyses by limiting Brownian motion, enhancing immunogold phenotyping and enabling orthogonal measurements.

bioRxiv · Feb 22, 2024 · PreprintBioengineering

Manifold Learning Enables Interpretable Analysis of Raman Spectra from Extracellular Vesicle and Other Mixtures

M. Kazemzadeh, M. Martinez-Calderon, R. Otupiri, A. Artuyants, M. Lowe, X. Ning, E. Reategui, Z. D. Schultz, W. Xu, C. Blenkiron, L. W. Chamley, N. G. R. Broderick, C. L. Hisey

This paper uses manifold learning on Raman spectra to quantify EV mixtures and demonstrate its applicability to other Raman spectroscopy applications.

bioRxiv · Mar 20, 2023 · PreprintBioengineering

Investigating the Consistency of Extracellular Vesicle Production from Breast Cancer Subtypes Using CELLine Adherent Bioreactors

C. L. Hisey, A. Artuyants, G. Guo, V. Chang, G. Reshef, M. Middleditch, B. Jacob, L. W. Chamley, C. Blenkiron

This study shows that CELLine AD 1000 bioreactors can consistently produce EVs from multiple breast cancer subtypes, with stable core protein content over time.

Journal of Extracellular Biology · Sep 22, 2022Peer-reviewedCancer Biology

Classification of Preeclamptic Placental Extracellular Vesicles Using Femtosecond Laser-fabricated Nanoplasmonic Sensors and Machine Learning

M. Kazemzadeh, M. Martinez-Calderon, S. Y. Paek, M. Lowe, C. Aguergaray, W. Xu, L. W. Chamley, N. G. R. Broderick, C. L. Hisey

The paper develops a method to classify preeclamptic and normotensive placental extracellular vesicles using nanoplasmonic sensors and machine learning.

bioRxiv · Dec 28, 2021 · PreprintBioengineering

Automated Parallel Pattern Search Optimisation of Microfluidic Geometry for Extracellular Vesicle Liquid Biopsies

C. L. Hisey, A. Tyler, A. Lim, L. W. Chamley, C. Blenkiron, R. J. Clarke

The paper optimizes microfluidic geometry for extracellular vesicle capture using automated parallel pattern search, finding that larger pillars with spacing improve capture efficiency.

bioRxiv · Nov 13, 2021 · PreprintBioengineering

Towards establishing Extracellular Vesicle-associated RNAs as biomarkers for HER2+ breast cancer

C. L. Hisey, P. Tomek, Y. N. Nursalim, L. W. Chamley, E. Leung

The paper develops a method to increase EV yield from breast cancer cells and identifies potential RNA biomarkers for HER2+ breast cancer.

bioRxiv · Sep 27, 2020Cancer Biology