Observation of a single protein by ultrafast X-ray diffraction.
Tomas EkebergDameli AssalauovaJohan BieleckiRebecca BollBenedikt J DaurerLutz A EichackerLinda E FrankenDavide Emilio GalliLuca GelisioLars GumprechtLaura H GunnJanos HajduRobert HartmannDirk HasseAlexandr IgnatenkoJayanath C P KoliyaduOlena KulykRuslan KurtaMarkus KusterWolfgang LugmayrJannik LübkeAdrian P MancusoTommaso MazzaCarl NettelbladYevheniy OvcharenkoDaniel E RivasMax RoseAmit K SamantaPhilipp SchmidtEgor SobolevNicusor TimneanuSergey UsenkoDaniel WestphalTamme WollweberLena WorbsPaul Lourdu XavierHazem YousefKartik AyyerHenry N ChapmanJonas A SellbergCarolin SeuringIvan A VartanyantsJochen KüpperMichael MeyerFilipe R N C MaiaPublished in: Light, science & applications (2024)
The idea of using ultrashort X-ray pulses to obtain images of single proteins frozen in time has fascinated and inspired many. It was one of the arguments for building X-ray free-electron lasers. According to theory, the extremely intense pulses provide sufficient signal to dispense with using crystals as an amplifier, and the ultrashort pulse duration permits capturing the diffraction data before the sample inevitably explodes. This was first demonstrated on biological samples a decade ago on the giant mimivirus. Since then, a large collaboration has been pushing the limit of the smallest sample that can be imaged. The ability to capture snapshots on the timescale of atomic vibrations, while keeping the sample at room temperature, may allow probing the entire conformational phase space of macromolecules. Here we show the first observation of an X-ray diffraction pattern from a single protein, that of Escherichia coli GroEL which at 14 nm in diameter is the smallest biological sample ever imaged by X-rays, and demonstrate that the concept of diffraction before destruction extends to single proteins. From the pattern, it is possible to determine the approximate orientation of the protein. Our experiment demonstrates the feasibility of ultrafast imaging of single proteins, opening the way to single-molecule time-resolved studies on the femtosecond timescale.
Keyphrases
- electron microscopy
- single molecule
- room temperature
- high resolution
- escherichia coli
- dual energy
- amino acid
- protein protein
- atomic force microscopy
- living cells
- ionic liquid
- deep learning
- binding protein
- molecular dynamics simulations
- blood pressure
- magnetic resonance imaging
- big data
- electronic health record
- machine learning
- mass spectrometry
- convolutional neural network
- magnetic resonance
- staphylococcus aureus