Author

K. Ishigaki

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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Immunology· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

A. Nathan· 2 shared A. Suzuki· 2 shared K. Fujio· 2 shared K. Yamamoto· 2 shared M. Ota· 2 shared S. Raychaudhuri· 2 shared S. Sumitomo· 2 shared Y. Kochi· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersImmunology

A. Nathan

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4 papers

Recent·Most cited

Immune cell multi-omics analysis reveals contribution of oxidative phosphorylation to B cell functions and organ damage of lupus

Y. Takeshima, Y. Iwasaki, M. Nakano, Y. Narushima, M. Ota, Y. Nagafuchi, S. Sumitomo, T. Okamura, K. B. Elkon, K. Ishigaki, A. Suzuki, Y. Kochi, K. Yamamoto, K. Fujio

The paper identifies oxidative phosphorylation (OXPHOS) as a key driver in SLE B cells, linking mitochondrial dysfunction to immune signaling and organ damage.

bioRxiv · Oct 8, 2021 · PreprintImmunology

Repertoire analyses reveal TCR sequence features that influence T cell fate

K. A. Lagattuta, J. B. Kang, A. Nathan, K. E. Pauken, A. H. Jonsson, D. A. Rao, K. Ishigaki, S. Raychaudhuri

The paper identifies TCR sequence features that influence T cell fate by analyzing TCR sequences from human cells and developing a scoring system for regulatory potential.

bioRxiv · Jun 23, 2021Immunology

Parsing multiomics landscape of activated synovial fibroblasts highlights drug targets linked to genetic risk of rheumatoid arthritis

H. Tsuchiya, M. Ota, S. Sumitomo, K. Ishigaki, A. Suzuki, T. Sakata, Y. Tsuchida, H. Inui, J. Hirose, Y. Kochi, Y. Kadono, K. Shirahige, S. Tanaka, K. Yamamoto, K. Fujio

This study analyzes multi-omics data from activated synovial fibroblasts to identify genetic risk factors and potential drug targets for rheumatoid arthritis.

bioRxiv · Jun 3, 2020Immunology

Multimodal memory T cell profiling identifies a reduction in a polyfunctional Th17 state associated with tuberculosis progression

A. Nathan, J. I. Beynor, Y. Baglaenko, S. Suliman, K. Ishigaki, S. Asgari, C.-C. Huang, Y. Luo, Z. Zhang, K. Lopez Tamara, J. Jimenez, R. I. Calderon, L. Lecca, I. van Rhijn, B. Moody, , S. Raychaudhuri

The paper uses multimodal single-cell profiling to identify a reduction in a polyfunctional Th17-like memory T cell state associated with tuberculosis progression.

bioRxiv · Apr 23, 2020 · PreprintImmunology