News and Scientific Highlights

10 January 2022
SLS 3D

Millions in funding for brain and quantum research

Research Using Synchrotron Light Materials Research Biology Human Health Matter and Material Quantum Research

The European Research Council approves PSI projects for the development of a quantum computer and brain research worth about 5 million euros.

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16 December 2021
Ligand induced dimerization of GPCR

Biased signalling for better drugs

A dream drug would provide a targeted therapeutic effect without side effects. Biased signalling could make this a reality. Publishing in PNAS, PSI researchers present a platform for biased signalling-based drug discovery.

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15 December 2021
amb_cu_teaser

Fingerprint of Copper in Peptides Linked to Alzheimer's Disease

In an interdisciplinary project, researchers from the Laboratory of Nanoscale Biology in BIO  and the Laboratory for Condensed Matter in PSD have revealed the reaction between the nitrogen atoms of the amyloid-beta peptide and copper/zinc ions by using soft X-ray absorption spectroscopy.

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28 September 2021
Roger Benoit

Protein distancing

Media Releases Biology Human Health

PSI researchers have developed a new method to attach proteins to the surface of virus-like particles.

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9 July 2021
Pooja Thakkar

SGS award for Pooja Thakkar

Pooja Thakkar received the Shoulders-Gray-Spindt award at the 34th Vacuum Nanoelectronics Conference for her paper "Voltage-controlled three-electron-beam interference by a three-element Boersch phase shifter with top and bottom shielding electrodes"

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7 June 2021
cryo-EM

Catching Alzheimer's Toxin

Single-particle cryo-electron microscopy of  a functional Aβ42 pore equivalent, created by fusing Aβ42 to the oligomerizing, soluble domain of the α-hemolysin  toxin, offers new insights into structure and function of proteins forming amyloid aggregates in Alzheimer’s disease.

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4 February 2021
teaser

"Ultimately, we aim to understand how diseases start in single cells"

Biology Human Health Medical Science Proton Therapy

Imaging and sequencing techniques combined with machine learning offer researchers countless opportunities to look inside cells with greater precision than ever before. G.V. Shivashankar, lab head at PSI, describes how such information can be used to find answers to pressing questions.

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