Author

L.-C. Lin

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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Cell Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Assay:proteomics· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

A. Gonzalez· 1 shared C.-H. Chang· 1 shared C.-W. Wang· 1 shared C.-Y. Chiang· 1 shared D. Ramallo· 1 shared G. Castro--Olvera· 1 shared H. Nishida· 1 shared H.-F. Han· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperBioengineering

A. Gonzalez

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Dietary bacteria control C. elegans fat content through pathways converging at phosphatidylcholine

H.-F. Han, S.-F. Nien, H.-S. Jiang, J.-C. Wu, C.-Y. Chiang, M.-T. Li, L.-J. Huang, S. Chiang, L.-C. Lin, Y.-T. Chuang, Y.-H. Lin, C.-W. Wang, Y.-C. Wu

This study identifies how dietary vitamin B12 influences phosphatidylcholine metabolism in C. elegans, affecting fat content through pathways involving SAM, PC, and regulatory proteins.

bioRxiv · Feb 24, 2024 · PreprintCell Biology

Protein N-Terminomics Reveals Major Proteases in Regulating Beige Adipocyte Differentiation

H.-Y. Chang, C.-H. Chang, H. Nishida, K. Takamuro, K. Ogata, K.-C. Peng, L.-C. Lin, Y.-J. Lo, T.-C. Huang, Y. Ishihama

This study identifies proteases regulating beige adipocyte differentiation through N-terminomics and functional experiments.

bioRxiv · Jul 31, 2022 · PreprintCell Biology

Volumetric bioluminescence imaging of cellular dynamics with deep learning based light-field reconstruction

L. F. Morales-Curiel, G. Castro--Olvera, A. Gonzalez, L.-C. Lin, M. El-Quessny, M. Porta-de-la-Riva, J. Severino, L. Battle, D. Ramallo, V. Ruprecht, P. Loza-Alvarez, M. Krieg

This paper improves bioluminescence microscopy with deep learning for low-light imaging, enabling high-resolution volumetric and timelapse imaging of cellular dynamics in living organisms.

bioRxiv · May 31, 2022 · PreprintBioengineering