Author

Sirui Song

Shanghai Jiao Tong UniversityORCID 0009-0003-0122-0937Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Guang Li· 1 shared Le CheniD· 1 shared Lianni Mei· 1 shared Libing Shen· 1 shared Lijian XieiD· 1 shared Liqin CheniD· 1 shared Liqin CheniD· 1 shared Min Huang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Guang Li

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 23, 2026

Single-cell Landscape of T Cell Heterogeneity in Kawasaki Disease: STAT3/JAK Axis Regulates the Lineage Differentiation Bias of Th17 Cells

Sirui Song, Yanfang Zong, Yanbing Xu…·Min Huang

The paper uses scRNA-seq to analyze T-cell subtypes in Kawasaki disease, identifying a Th17 differentiation bias regulated by the STAT3/JAK axis during acute inflammation.

DOI 10.64898/2026.03.18.712795

mousescRNA-seq

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ImmunologyFrontiers in PediatricsPeer-reviewedJun 25, 2025

Delineation of Single-cell Altas Provides New Insights for Development of Coronary Artery Lesions in Kawasaki Disease: Bad and Good Signaling Molecules

Qiuping Lin, Xin Lv, Qingzhu Qiu…·Lijian Xie

This study uses single-cell RNA sequencing to identify dysregulated signaling molecules in Kawasaki Disease patients with and without coronary artery lesions.

1 citation

humanscRNA-seq

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