Erwin J. G. Peterman

Prof. Dr. Erwin J. G. Peterman

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Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2005 in Nature
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Journal Article
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LKLukas C. Kapitein
Lukas C. Kapitein
EPErwin J. G. Peterman
Erwin J. G. Peterman
BKBenjamin H. Kwok
Benjamin H. Kwok
JKJeffrey H. Kim
Jeffrey H. Kim
TKTarun M. Kapoor
Tarun M. Kapoor
CSChristoph F. Schmidt
Christoph F. Schmidt

1 February 2003 in Biophysical Journal
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Journal Article
Closed access
EPErwin J. G. Peterman
Erwin J. G. Peterman
FGFrederick Gittes
Frederick Gittes
CSChristoph F. Schmidt
Christoph F. Schmidt

15 June 2016 in Molecular Biology of the Cell
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Journal Article
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PMPierre Mangeol
Pierre Mangeol
BPBram Prevo
Bram Prevo
EPErwin J. G. Peterman
Erwin J. G. Peterman
Dynamic processes are ubiquitous and essential in living cells. To properly understand these processes, it is imperative to measure them in a time-dependent way and to subsequently analyze the resulting data quantitatively, preferably with automated tools. Kymographs are single images that represent the motion of dynamic processes and are widely used in live-cell imaging. Although they contain the full range of dynamics, it is not straightforward to extract this quantitative information in a reliable way. Here we present two complementary, publicly available software tools, KymographClear and KymographDirect that have the power to reveal detailed insight in dynamic processes. KymographClear is a macro toolset for ImageJ to generate kymographs that provides automatic color-coding of the different directions of movement. KymographDirect is a stand-alone tool to extract quantitative information from kymographs obtained from a wide range of dynamic processes in an automated way, with high accuracy and reliability. We discuss the concepts behind these software tools, validate them using simulated data and test them on experimental data. We show that these tools can be used to extract motility parameters from a diverse set of cell-biological experiments in an automated and user-friendly way.

27 October 2009 in Proceedings of the National Academy of Sciences
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JMJoost van Mameren
Joost van Mameren
PGPeter Gross
Peter Gross
GFGeraldine Farge
Geraldine Farge
PHPleuni Hooijman
Pleuni Hooijman
MMMauro Modesti
Mauro Modesti
EPErwin J. G. Peterman
Erwin J. G. Peterman
Single-molecule manipulation studies have revealed that double-stranded DNA undergoes a structural transition when subjected to tension. At forces that depend on the attachment geometry of the DNA (65 pN or 110 pN), it elongates ≈1.7-fold and its elastic properties change dramatically. The nature of this overstretched DNA has been under debate. In one model, the DNA cooperatively unwinds, while base pairing remains intact. In a competing model, the hydrogen bonds between base pairs break and two single DNA strands are formed, comparable to thermal DNA melting. Here, we resolve the structural basis of DNA overstretching using a combination of fluorescence microscopy, optical tweezers, and microfluidics. In DNA molecules undergoing the transition, we visualize double- and single-stranded segments using specific fluorescent labels. Our data directly demonstrate that overstretching comprises a gradual conversion from double-stranded to single-stranded DNA, irrespective of the attachment geometry. We found that these conversions favorably initiate from nicks or free DNA ends. These discontinuities in the phosphodiester backbone serve as energetically favorable nucleation points for melting. When both DNA strands are intact and no nicks or free ends are present, the overstretching force increases from 65 to 110 pN and melting initiates throughout the molecule, comparable to thermal melting. These results provide unique insights in the thermodynamics of DNA and DNA-protein interactions.

25 March 2017 in The FEBS Journal
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BPBram Prevo
Bram Prevo
JSJonathan M. Scholey
Jonathan M. Scholey
EPErwin J. G. Peterman
Erwin J. G. Peterman
Intraflagellar transport (IFT) is a form of motor‐dependent cargo transport that is essential for the assembly, maintenance, and length control of cilia, which play critical roles in motility, sensory reception, and signal transduction in virtually all eukaryotic cells. During IFT, anterograde kinesin‐2 and retrograde IFT dynein motors drive the bidirectional transport of IFT trains that deliver cargo, for example, axoneme precursors such as tubulins as well as molecules of the signal transduction machinery, to their site of assembly within the cilium. Following its discovery in Chlamydomonas, IFT has emerged as a powerful model system for studying general principles of motor‐dependent cargo transport and we now appreciate the diversity that exists in the mechanism of IFT within cilia of different cell types. The absence of heterotrimeric kinesin‐2 function, for example, causes a complete loss of both IFT and cilia in Chlamydomonas, but following its loss in Caenorhabditis elegans, where its primary function is loading the IFT machinery into cilia, homodimeric kinesin‐2‐driven IFT persists and assembles a full‐length cilium. Generally, heterotrimeric kinesin‐2 and IFT dynein motors are thought to play widespread roles as core IFT motors, whereas homodimeric kinesin‐2 motors are accessory motors that mediate different functions in a broad range of cilia, in some cases contributing to axoneme assembly or the delivery of signaling molecules but in many other cases their ciliary functions, if any, remain unknown. In this review, we focus on mechanisms of motor action, motor cooperation, and motor‐dependent cargo delivery during IFT.

22 May 2011 in Nature Physics
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PGPeter Gross
Peter Gross
NLNiels Laurens
Niels Laurens
LOLene Broeng Oddershede
Lene Broeng Oddershede
UBUlrich Bockelmann
Ulrich Bockelmann
EPErwin J. G. Peterman
Erwin J. G. Peterman
GWGijs J. L. Wuite
Gijs J. L. Wuite