Nikaido, Itoshi

Benchmarking single-cell RNA-sequencing protocols for cell atlas projects

Mereu, E., Lafzi, A., Moutinho, C., Ziegenhain, C., McCarthy, D. J., Álvarez-Varela, A., Batlle, E., Sagar, Grün, D., Lau, J. K., et al. (2020) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 499

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Sasagawa, Y., Nikaido, I., Hayashi, T., Danno, H., Uno, K. D., Imai, T., & Ueda, H. R. (2013) · Genome Biology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 455

SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

Matsumoto, H., Kiryu, H., Furusawa, C., Ko, M. S. H., Ko, S. B. H., Gouda, N., Hayashi, T., & Nikaido, I. (2017) · Bioinformatics

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomics

Cited by 439

Identification of novel PPARγ target genes by integrated analysis of ChIP-on-chip and microarray expression data during adipocyte differentiation

Nakachi, Y., Yagi, K., Nikaido, I., Bono, H., Tonouchi, M., Schönbach, C., & Okazaki, Y. (2008) · Biochemical and Biophysical Research Communications

Peroxisome Proliferator-Activated ReceptorsAdipose Tissue and Metabolism

Cited by 60