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Biology subjects

Eggert, U.

Publications and source records attributed to Eggert, U..

2 recordsLinked to original sources

Molecular machines measure the nanomechanics of biological membranes

Mechanical properties such as elastic resistance to distortion define many materials and can routinely be measured with an indenting tip as simple as a finger. We have miniaturized the indentation principle by 8 orders of magnitude to analyze lipid bilayer nanomechanics, which are of relevance in biology and disease progression. Our nanoscale indenting tip is designed with DNA nanotechnology to be an integral part of a molecular machine which autonomously binds to membranes, actively indents localized membrane patches, measures the membranes elastic response to indentation, and converts the indentation degree into an optical readout signal. Compared to serially operated macro-to-microscale indentation probes, our miniaturization strategy enables deploying millions of the indenting machines for parallel analysis of membrane elasticity. The nanoscale molecular machines are also taken up by biological cells to reveal softer inner membrane compartments compared to stiffer cytoplasmic membranes, using indentation depths of solely up to 1 nm. We envision the DNA-based nanotools to contribute to the analysis of membrane mechanics of cells as well as soft polymeric interphases.

biophysics↗

A palmitoyl transferase chemical genetic system to map ZDHHC-specific S-acylation

The 23 human ZDHHC S-acyltransferases catalyze long-chain S-acylation at cysteine residues across an extensive network of hundreds of proteins important for normal physiology or dysregulated in disease. Here we present a technology platform to directly map the protein substrates of a specific ZDHHC for the first time at the whole proteome level, in intact cells. Structure-guided engineering of paired ZDHHC hole mutants and bumped chemically tagged fatty acid probes enabled probe transfer to specific protein substrates with excellent selectivity over wild type ZDHHCs. Chemical genetic systems were exemplified for five ZDHHCs (3, 7, 11, 15 and 20), and applied to generate the first de novo ZDHHC substrate profiles, identifying >300 unique and shared substrates across multiple cell lines and S-acylation sites for novel functionally diverse substrates. We expect that this powerful and versatile platform will open a new window on S-acylation biology for a wide range of models and organisms.

molecular biology↗