Author

H. Nam

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:cell type annotation· 4 Approach:experimental assay· 3 Assay:imaging· 2 Organism:mouse· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

J. S. Jeon· 3 shared A. Hamidzadeh· 1 shared A. Kundu· 1 shared A. Levchenko· 1 shared C. Liang· 1 shared C. Pfarrer· 1 shared D. Antczak· 1 shared D. Lee· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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3 shared papersBioengineering

J. S. Jeon

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Rapid and label-free exosome analysis by surface-enhanced Raman spectroscopy using silver nanoparticle substrate based on selective laser ablation and melting of silver nanowire

H. Nam, J.-e. Park, J. S. Hwang, S. Kim, S. J. Kim, S. Kim, M. Yang, J. S. Jeon

This paper presents a rapid, label-free method for detecting breast cancer-derived exosomes using SERS with a silver nanoparticle substrate fabricated via laser ablation and melting.

bioRxiv · Jan 13, 2024 · PreprintBioengineering

TESOGENASE, An Engineered Nuclease Editor for Enhanced Targeted Genome Integration

H. Nam, K. Xie, I. Majumdar, S. Yang, J. Starzyk, D. Lee, R. Shan, J. Li, H. Wu

The paper introduces enGager, a system that enhances ssDNA-mediated genome integration by fusing Cas9 with ssDNA-binding proteins, achieving up to 6-fold efficiency improvements for large transgene knock-in.

bioRxiv · Aug 28, 2023 · PreprintBioengineering

IMPASTO: Multiplexed cyclic imaging without signal removal via self-supervised neural unmixing

H. Kim, S. Bae, J. Cho, H. Nam, J. Seo, S. Han, E. Yi, E. Kim, Y.-G. Yoon, J.-B. Chang

IMPASTO enables erasureless cyclic imaging for multiplexed spatial proteomics through self-supervised neural unmixing, achieving 30-plex imaging with reduced tissue distortion.

bioRxiv · Nov 22, 2022 · PreprintBioengineering

Reagent- and actuator-free analysis of individual erythrocytes using three-dimensional quantitative phase imaging and capillary microfluidics

D. Ryu, H. Nam, J. S. Jeon, Y. Park

This paper presents a method to analyze individual erythrocytes without reagents or actuators using microfluidics and quantitative phase imaging to measure morphological and biochemical properties.

bioRxiv · May 15, 2021Bioengineering

TGF-B signaling suppresses TCA cycle metabolism in renal cancer.

H. Nam, A. Kundu, S. Karki, G. Brinkley, D. S. Chandrashekar, R. L. Kirkman, J. Liu, M. V. Liberti, J. W. Locasale, T. Mitchell, S. Varambally, S. Sudarshan

This study shows that TGF-β signaling suppresses TCA cycle enzyme expression in renal cancer, leading to reduced mitochondrial metabolism and tumor growth.

bioRxiv · Feb 19, 2021 · PreprintCancer Biology

The Evolution of Placental Invasion and Cancer Metastasis are Causally Linked

K. Gupta, J. Afzal, J. D. Maziarz, A. Hamidzadeh, C. Liang, E. M. Erkenbrack, H. Nam, J.-D. Haeger, C. Pfarrer, T. Hoang, T. Ott, T. Spencer, M. Pavlicev, D. Antczak, A. Levchenko, G. P. Wagner

The paper links placental invasion and cancer metastasis by showing that human stromal cells are more permissive to invasion than bovine cells, supporting the Evolved Levels of Invasibility hypothesis.

bioRxiv · Jan 23, 2019Cancer Biology

Chemotaxis model for human breast cancer cells based on signal-to-noise ratio

S. Lim, H. Nam, J. S. Jeon

This study develops a chemotaxis model based on signal-to-noise ratio to analyze breast cancer cell migration under EGF gradients and shows that receptor antibodies can enhance chemotaxis at low EGF levels.

bioRxiv · Mar 30, 2018Biophysics