Itoshi Nikaido on Muck Rack

Itoshi Nikaido

Kobe, Tokyo
As seen in: Nature, Genome Biology, Science Magazine, Stem Cell Reports
PI in RIKEN AGIS🇯🇵 Professor, Institute of Science Tokyo #Bioinformatics #Singlecell #RNASeq #QuartzSeq2 #RamDAseq #R #Bioconductor
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Itoshi

Contact Itoshi, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Genomic characterization of sub-populations in human pluripotent stem cell-derived retinal progenitor cells driving retinal lamination

|
By Yasuaki Iwama, Tomohiro Masuda, Mika Yoshimura, Mikiya Watanabe, Martin Friedlander, Kohji Nishida, Masayo Takahashi, Itoshi Nikaido, Yoko Ohigashi
| Stem Cell Reports Verified
ArticleOnline now102831Open access Affiliations & Notes 1Laboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047, Japan 2Research Center, Kobe City Eye Hospital, Kobe, Hyogo 650-0047, Japan 3Department of Ophthalmology Graduate School of Medicine, The University of Osaka, Osaka 565-0871, Japan 4Department of Molecular and Cellular Biology, Scripps Research, La Jolla, CA 92037, USA 5Omics AI Research Team, Advanced General Intelligence in...
Open in Who Shared Issue with article?

scRepli-RamDA-seq: a multi-omics technology enabling the analysis of gene expression dynamics during S-phase - Nature Communications

|
By Rawin Poonperm, Saori Takahashi, Hisashi Miura, Tetsutaro Hayashi, Mariko Kuse, Mika Yoshimura, Koji Nagao, Itoshi Nikaido, Ichiro Hiratani
| Nature Verified
Abstract Single-cell sequencing has advanced our understanding of cell-type diversity and heterogeneity. However, existing single-cell multi-omics methods lack the ability to monitor gene expression dynamics during S-phase progression. Here, we introduce single-cell (sc)Repli-RamDA-seq (scRR-seq), a multi-omics method that enables high-resolution DNA replication profiling and full-length total RNA sequencing from the same single cell in a haplotype-specific manner.
Open in Who Shared Issue with article?

Author Correction: Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis - Nature Communications

|
By Hitomi Takada, Yohei Sasagawa, Tetsutaro Hayashi, Ayako Isomura-Matoba, Itoshi Nikaido
| Nature Verified
Correction to: Nature Communications https://doi.org/10.1038/s41467-023-39113-0, published online 29 June 2023 The original version of this Article contained an error in Fig. 5 and Supplementary Fig. 23. In the original version of Fig. 5f, the plot representing Muc5ac was given as a duplicate of that representing Gkn2. Additionally, the statement “the control data are also presented in Fig. 4b” was omitted in the legend of Fig. 5f.
Open in Who Shared View Duplicates (7) Issue with article?
See all 10 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified