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Biology subjects

Xavier Michalet

Publications and source records attributed to Xavier Michalet.

3 recordsLinked to original sources

A Novel Initiation Pathway in Escherichia Coli Transcription

Initiation is a highly regulated, rate-limiting step in transcription. We employed a series of approaches to examine the kinetics of RNA polymerase (RNAP) transcription initiation in greater detail. Quenched kinetics assays, in combination with magnetic tweezer experiments and other methods, showed that, contrary to expectations, RNAP exit kinetics from later stages of initiation (e.g. from a 7-base transcript) was markedly slower than from earlier stages. Further examination implicated a previously unidentified intermediate in which RNAP adopted a long-lived backtracked state during initiation. In agreement, the RNAP-GreA endonuclease accelerated transcription kinetics from otherwise delayed initiation states and prevented RNAP backtracking. Our results indicate a previously uncharacterized RNAP initiation state that could be exploited for therapeutic purposes and may reflect a conserved intermediate among paused, initiating eukaryotic enzymes.\n\nSignificanceTranscription initiation by RNAP is rate limiting owing to many factors, including a newly discovered slow initiation pathway characterized by RNA backtracking and pausing. This backtracked and paused state occurs when all NTPs are present in equal amounts, but becomes more prevalent with NTP shortage, which mimics cellular stress conditions. Pausing and backtracking in initiation may play an important role in transcriptional regulation, and similar backtracked states may contribute to pausing among eukaryotic RNA polymerase II enzymes.

Biochemistry

FRETBursts: An Open Source Toolkit for Analysis of Freely-Diffusing Single-Molecule FRET

Single-molecule Forster Resonance Energy Transfer (smFRET) allows probing intermolecular interactions and conformational changes in biomacromolecules, and represents an invaluable tool for studying cellular processes at the molecular scale. smFRET experiments can detect the distance between two fluorescent labels (donor and acceptor) in the 3-10 nm range. In the commonly employed confocal geometry, molecules are free to diffuse in solution. When a molecule traverses the excitation volume, it emits a burst of photons, which can be detected by single-photon avalanche diode (SPAD) detectors. The intensities of donor and acceptor fluorescence can then be related to the distance between the two fluorophores.\n\nWhile recent years have seen a growing number of contributions proposing improvements or new techniques in smFRET data analysis, rarely have those publications been accompanied by so.ware implementation. In particular, despite the widespread application of smFRET, no complete so.ware package for smFRET burst analysis is freely available to date.\n\nIn this paper, we introduce FRETBursts, an open source software for analysis of freely-diffusing smFRET data. FRETBursts allows executing all the fundamental steps of smFRET bursts analysis using state-of-the-art as well as novel techniques, while providing an open, robust and welldocumented implementation. Therefore, FRETBursts represents an ideal platform for comparison and development of new methods in burst analysis.\n\nWe employ modern software engineering principles in order to minimize bugs and facilitate long-term maintainability. Furthermore, we place a strong focus on reproducibility by relying on Jupyter notebooks for FRETBursts execution. Notebooks are executable documents capturing all the steps of the analysis (including data files, input parameters, and results) and can be easily shared to replicate complete smFRET analyzes. Notebooks allow beginners to execute complex workflows and advanced users to customize the analysis for their own needs. By bundling analysis description, code and results in a single document, FRETBursts allows to seamless share analysis workflows and results, encourages reproducibility and facilitates collaboration among researchers in the single-molecule community.

Biophysics

Photon-HDF5: an open file format for single-molecule fluorescence experiments using photon-counting detectors

We introduce Photon-HDF5, an open and efficient file format to simplify exchange and long term accessibility of data from single-molecule fluorescence experiments based on photon-counting detectors such as single-photon avalanche diode (SPAD), photomultiplier tube (PMT) or arrays of such detectors. The format is based on HDF5, a widely used platform- and language-independent hierarchical file format for which user-friendly viewers are available. Photon-HDF5 can store raw photon data (timestamp, channel number, etc...) from any acquisition hardware, but also setup and sample description, information on provenance, authorship and other metadata, and is flexible enough to include any kind of custom data.\n\nThe format specifications are hosted on a public website, which is open to contributions by the biophysics community. As an initial resource, the website provides code examples to read Photon-HDF5 files in several programming languages and a reference Python library (phconvert), to create new Photon-HDF5 files and convert several existing file formats into Photon-HDF5. To encourage adoption by the academic and commercial communities, all software is released under the MIT open source license.

Biophysics