Author

K.-W. Tang

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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Microbiology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Assay:metagenomics· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Abrahamsson· 3 shared Y. Tian· 3 shared D. Vracar· 2 shared A. Bäckerholm· 1 shared A. Green· 1 shared C. Guibentif· 1 shared G. Xie· 1 shared H. Engstrom Jakobsson· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersMicrobiology

S. Abrahamsson

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3 papers

Recent·Most cited

Detection of latent Epstein-Barr virus gene expression in single-cell sequencing of peripheral blood mononuclear cells

A. Bäckerholm, Y. Tian, I. Holmqvist, G. Xie, D. Vracar, S. Abrahamsson, C. Guibentif, K.-W. Tang

The paper detects latent EBV gene expression in single-cell RNA sequencing of peripheral blood mononuclear cells and identifies EBV-associated gene upregulation in infected B-lymphocytes.

bioRxiv · May 24, 2022 · PreprintMicrobiology

A three-dimensional Air-Liquid Interface Culture Model for the Study of Epstein-Barr virus Infection in the Nasopharynx

P. Ziegler, Y. Bai, Y. Tian, S. Abrahamsson, A. Green, J. Moore, S. E. Lee, M. M. Myerburg, H. J. Park, K.-W. Tang, K. H. Y. Shair

This study uses a 3D air-liquid interface culture model to show that nasopharyngeal epithelial cells can be infected by EBV, with single-cell RNA-sequencing identifying distinct EBV transcription profiles.

bioRxiv · Aug 31, 2020Microbiology

Optimization of cerebrospinal fluid microbial metagenomic sequencing diagnostics

J. Olausson, S. Brunet, D. Vracar, Y. Tian, S. Abrahamsson, S. H. Meghadri, P. Sikora, M. Lind Karlberg, H. Engstrom Jakobsson, K.-W. Tang

This study optimizes metagenomic sequencing for diagnosing central nervous system infections by establishing detection thresholds and reducing false positives through computational filters and controls.

bioRxiv · Jun 25, 2020 · PreprintMicrobiology