Author

T. Sinkunas

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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Biophysics· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:DNA methylation· 2 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

I. Songailiene· 3 shared M. Rutkauskas· 3 shared R. Seidel· 3 shared V. Siksnys· 3 shared D. J. Kauert· 2 shared F. E. Kemmerich· 2 shared A. Wulfken· 1 shared J. Madariaga Marcos· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBiophysics

I. Songailiene

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3 papers

Recent·Most cited

The energy landscape for R-loop formation by the CRISPR-Cas Cascade complex

D. J. Kauert, J. Madariaga Marcos, M. Rutkauskas, A. Wulfken, I. Songailiene, T. Sinkunas, V. Siksnys, R. Seidel

This paper uses ultrafast DNA unwinding experiments to study the energy landscape of R-loop formation by the Cascade complex, revealing a downhill bias followed by an uphill bias and showing base flips and mismatches modulate the landscape.

bioRxiv · Mar 17, 2023Biophysics

Dynamic interplay between target search and recognition for the Cascade surveillance complex of type I-E CRISPR-Cas systems

P. Aldag, M. Rutkauskas, J. Madariaga-Marcos, I. Songailiene, T. Sinkunas, F. E. Kemmerich, D. J. Kauert, V. Siksnys, R. Seidel

This study investigates how the Type I-E CRISPR-Cas Cascade complex searches and recognizes DNA targets, showing that recognition probabilities are low and increased by DNA supercoiling and limited 1D diffusion.

bioRxiv · Dec 18, 2022Biophysics

A quantitative model for the dynamics of target recognition and off-target rejection by the CRISPR-Cas Cascade complex

M. Rutkauskas, I. Songailiene, P. Irmisch, F. E. Kemmerich, T. Sinkunas, V. Siksnys, R. Seidel

The paper develops a quantitative model to predict CRISPR-Cas Cascade off-target recognition dynamics using single-molecule experiments and shows it accurately captures target recognition with mutations.

bioRxiv · Jan 26, 2022 · PreprintBiophysics