Author

S. Ramanayake

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Assay:bulk RNA-seq· 2 Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

C. R. M. Bangham· 3 shared A. Melamed· 2 shared A. Singh· 2 shared H. Kiik· 2 shared M. Miura· 2 shared Y. Tanaka· 2 shared A. Witkover· 1 shared C. Bangham· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersMicrobiology

C. R. M. Bangham

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4 papers

Recent·Most cited

The impact of HTLV-1 expression on the 3D structure and expression of host chromatin

H. Yaguchi, A. Melamed, S. Ramanayake, H. Kiik, A. Witkover, C. R. M. Bangham

The paper investigates how HTLV-1 proviral transcription affects host chromatin structure and finds that it induces aberrant transcription but suppresses chromatin loop formation.

bioRxiv · Sep 28, 2023Microbiology

Dynamics and consequences of the HTLV-1 proviral plus-strand burst

S. Ramanayake, D. Moulding, Y. Tanaka, A. Singh, C. R. M. Bangham

This study uses live-cell imaging and mathematical modeling to analyze Tax expression dynamics in HTLV-1 infected T-cells, revealing heterogeneous patterns and impacts on cell behavior.

PLOS Pathogens · Nov 28, 2022Peer-reviewedMicrobiology

Time-course of host cell transcription during the HTLV-1 transcriptional burst

H. Kiik, S. Ramanayake, M. Miura, Y. Tanaka, A. Melamed, C. R. M. Bangham

This study examines how HTLV-1 transcriptional bursts affect host transcription over time in infected T-cells, finding transient activation of pathways like NF-κB and clone-specific differences in cell cycle regulation.

bioRxiv · Feb 24, 2022Microbiology

Kinetics of HTLV-1 reactivation from latency quantified by single-molecule RNA FISH and stochastic modelling

M. Miura, S. Dey, S. Ramanayake, A. Singh, D. Rueda, C. Bangham

This study quantifies HTLV-1 reactivation kinetics using single-molecule RNA FISH and stochastic modeling, revealing rapid sense-strand transcription bursts and stable antisense transcription.

bioRxiv · Oct 28, 2019Microbiology