Author

K. Okano

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· 2 Cell Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:development & morphogenesis· 3 Approach:experimental assay· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 2 Assay:ATAC-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Y. Hosokawa· 3 shared N. Inagaki· 2 shared Y. Tanaka· 2 shared A. Koyanagi· 1 shared D. Anggraini· 1 shared D. Nakamura· 1 shared H. Fuji· 1 shared H. Katsuno-Kambe· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBioengineering

Y. Hosokawa

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Spontaneous cell morphogenesis via self-propelled actin filaments

K. Yagami, K. Baba, T. Minegishi, S. Misu, H. Katsuno-Kambe, K. Okano, Y. Sakumura, Y. Hosokawa, N. Inagaki

The paper shows actin filaments move directionally via treadmilling, driving membrane protrusions and cell migration through physical mechanisms.

bioRxiv · Feb 28, 2024Cell Biology

Cell viability assessment associated with a contact of gas bubbles produced by femtosecond laser breakdown in cell culture media

r. yasukuni, A. Koyanagi, Y. Tanaka, K. Okano, Y. Hosokawa

This study examines the effects of gas bubbles from femtosecond laser processing on cell viability, finding that stable bubbles do not harm cells but bubble bursts can cause mechanical damage.

bioRxiv · Jan 16, 2022Bioengineering

Guided Axon Outgrowth of Neurons by Real-Time Femtosecond Laser Penetration on a 4 μm Thick Thin-Glass Sheet

D. Anggraini, X. Liu, K. Okano, Y. Tanaka, N. Inagaki, M. Li, Y. Hosokawa, S. Yamada, Y. Yalikun

This study uses a real-time femtosecond laser and microfluidic device to guide axon outgrowth by creating netrin-1 gradients, achieving 92% guided axon growth.

bioRxiv · Aug 17, 2021 · PreprintBioengineering

Principal Component Analysis applied directly to Sequence Matrix

T. Konishi, S. Matsukuma, H. Fuji, D. Nakamura, N. Satou, K. Okano

The paper applies PCA directly to sequence matrices to better analyze sequence data by converting it to boolean vectors, improving resolution and revealing directional differences and causative nucleotides.

bioRxiv · May 31, 2018Evolutionary Biology