Author

J. Hettich

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:chromatin & epigenetic regulation· 2 Approach:deep learning· 2 Assay:fluorescence / live-cell microscopy· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

J. C. M. Gebhardt· 4 shared T. Kuhn· 3 shared A. Grosse-Berkenbusch· 1 shared A. P. Popp· 1 shared A. Palmer· 1 shared A. W. Cook· 1 shared C. Toseland· 1 shared L. Streit· 1 shared

Activity by Year

2019-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersBiophysics

J. C. M. Gebhardt

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Author profile →

4 papers

Recent·Most cited

Transcription factor residence time dominates over concentration in transcription activation

A. P. Popp, J. Hettich, J. C. M. Gebhardt

The paper investigates how transcription factor residence time affects transcriptional burst frequency and develops a model of gene transcription based on quantitative measurements.

bioRxiv · Nov 26, 2020 · PreprintBiophysics

Single molecule tracking and analysis framework including theory-predicted parameter settings

T. Kuhn, J. Hettich, J. C. M. Gebhardt

The paper introduces TrackIt, a framework for single molecule tracking and analysis that addresses tracking errors and provides optimized parameters for reliable quantification of molecular dynamics.

bioRxiv · Nov 25, 2020Biophysics

Myosin VI moves on nuclear actin filaments and supports long-range chromatin rearrangements

A. Grosse-Berkenbusch, J. Hettich, T. Kuhn, N. Fili, A. W. Cook, Y. Hari-Gupta, A. Palmer, L. Streit, P. J. I. Ellis, C. Toseland, J. C. M. Gebhardt

This study shows nuclear myosin VI moves along actin filaments and facilitates transcription-dependent chromatin rearrangements.

bioRxiv · Apr 3, 2020 · PreprintCell Biology

Inferring quantity and qualities of superimposed reaction rates in single molecule survival time distributions

M. Reisser, J. Hettich, T. Kuhn, J. C. M. Gebhardt

This paper introduces GRID, a method to infer dissociation rates and frequencies from single molecule survival time distributions, and applies it to study CDX2 dissociation from chromatin.

bioRxiv · Jun 21, 2019Biophysics