Author

S. J. Jang

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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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

C. Hwa· 1 shared C. Hyeon· 1 shared D. H. Kim· 1 shared E. Paek· 1 shared H. S. Hwang· 1 shared J.-W. Oh· 1 shared J.-Y. An· 1 shared K. J. Song· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

C. Hwa

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2 papers

Recent·Most cited

Kinetic model for the desensitization of G protein-coupled receptor

W. K. Kim, Y. Lee, S. J. Jang, C. Hyeon

The paper develops a kinetic model to understand GPCR desensitization by integrating biochemical steps from ligand binding to receptor internalization, identifying three downregulation regimes based on phosphorylation, dephosphorylation, and beta-arrestin levels.

bioRxiv · Apr 1, 2024Biophysics

Assessing Long-Term Stored Tissues for Multi-Omics Data Quality and Proteogenomics Suitability

K. J. Song, M. Kim, Y. J. Heo, K.-C. Cho, J.-W. Oh, D. H. Kim, C. Hwa, Y. Do, S. Choi, H. S. Hwang, K. Kim, K. Kim, S. Na, E. Paek, J.-Y. An, , K. P. Kim

This study evaluates the quality and suitability of long-term stored tissues for multi-omics analyses, showing that while transcriptomic data show some changes, core gene expression and proteomic measurements remain reliable.

bioRxiv · Mar 13, 2024Cancer Biology