Author

H. Konishi

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· 1 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

S. Ito· 2 shared A. Kawabe· 1 shared A. Matsusaki· 1 shared A. Muto· 1 shared A. Nawa· 1 shared A. Ota· 1 shared D. Komura· 1 shared E. Asano-Inami· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBioengineering

S. Ito

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioengineeringbioRxivDec 19, 2022

A bispecific antibody NXT007 exerts a hemostatic activity in hemophilia A monkeys enough to keep a non-hemophiliac state

Y. Teranishi-Ikawa, T. Soeda, H. Koga…·T. Igawa

This paper reports a bispecific antibody NXT007 that shows improved hemostatic activity in hemophilia A monkeys, equivalent to FVIII levels, with lower dosing requirements and longer intervals.

DOI 10.1016/j.jtha.2023.09.034

non-human primateexperimental assay

𝕏 PostBluesky

Cell BiologybioRxivPreprintJul 4, 2022

LUZP1 regulates the constriction velocity of the contractile ring during cytokinesis

T. Hyodo, E. Asano-Inami, S. Ito…·H. Konishi

This study identifies LUZP1 as a novel regulator of cytokinesis by modulating the constriction velocity of the contractile ring through interactions with DAPK3 and MYL9.

DOI 10.1101/2022.07.04.498656

humanproteomics

𝕏 PostBluesky

Cancer BiologybioRxivJul 28, 2020

Deep Texture Representations as a Universal Encoder for Pan-cancer Histology

D. Komura, A. Kawabe, K. Fukuta…·S. Ishikawa

This paper introduces deep texture representations (DTRs) as a universal encoder for cancer histology, enabling accurate prediction of genomic features and cancer types from histological images.

DOI 10.1016/j.celrep.2022.110424

humanimaging

𝕏 PostBluesky