Today we publish a paper in @ScienceMagazine that expands nanopore readings to the proteome:
a nanopore-based scanner to read off PROTEINS at the single-molecule level! 🤩
Awesome experiments by postdoc Henry Brinkerhoff of our #CDlab, with MD simulations of @aksimentievLab
@ScienceMagazine@aksimentievLab Principle reminds of nanopore DNA sequencing: we draw a peptide through a nanopore with a helicase walking on a lead DNA strand, and then read off ion current step signals as amino acids are blocking the pore.
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@ScienceMagazine@aksimentievLab This allows us to discriminate even single amino-acid substitutions in single reads of a peptide, with already very good fidelity (87%) in these first experiments
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MD simulations by our collaborators @aksimentievLab show the (sometimes counterintuitive) ion current signals result from size exclusion as well as pore binding by amino acids.
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@aksimentievLab Strikingly, we can RE-read one and the same molecule hundreds of times, which drives the read accuracy to 100% with an error rate for single amino-acid variant identification of < 1 in 10^6 on 1 peptide molecule – alleviating a major problem in nanopore sequencing!
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Here’s for example a raw data. The second read is the one with a peptide, and it shows ~5 re-reads!
Anyway, I’m pretty excited about all this. Much much more to do of course, to develop these first proof-of-principle data on protein identification into a full de novo nanopore single-molecule protein sequencer, but a very exciting development imho.
I’m thrilled to be able to announce that we were granted a NWO Summit grant entitled ‘Evolving Life from Nonlife’ (EVOLF) with 40 million euro for a 10-year project aimed to cross the gap between non-life and life by assembling a living synthetic cell from lifeless biomolecules!
This project aims to address some of the biggest questions: What is life? How do living systems differ from non-living ones? Can we create living cells from lifeless molecules? EVOLF will take an experimental approach and build synthetic cells from the bottom up, from molecules.
While we already created cellular modules for a minimal genome, metabolism, and cell division, EVOLF will employ AI and directed evolution of synthetic cells to integrate cellular functions into one unified synthetic cell that can autonomously replicate, communicate, and evolve.
DNA loop extrusion by SMC motor proteins is an intriguing process that is the key organizer of our chromosomes
As I explained to you before (see our NAR 2022 paper), magnetic tweezers are a powerful single-molecule method to measure single loop extrusion steps (~40nm, 200bp)
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But here's a new twist!
Today, we put a new #CDlab paper on @biorxivpreprint where we developed a new tweezer assay to directly measure how much supercoiling twist is induced into the extruded loop by an individual SMC in each loop-extrusion step!
@biorxivpreprint We show that all 3 SMC complexes induce the same large negative twist (ie, a linking number change Δ𝐿k of -0.6 at each loop-extrusion step) into the extruded loop, independent of step size.
ATP mutants show that ATP binding is the twist-inducing event during the ATPase cycle 2/
Latest #CDlab paper online now in @ScienceMagazine:
In this important hypothesis paper we sketch a possible mechanistic model for SMC motor proteins that make loops in DNA.
This is a collaborative effort of @HaeringLab, JM-Peters, B-Rowland,. and us
Background of this paper is interesting as the 4 authors met at a Titisee conference. Given that each of us had a favorite model (scrunching, swing&clamp, hold&feed), we disagreed.
But we discussed, ending up with this joint paper on a ‘reel-and-seal’ model that fits most data 2/
Here’s how it works:
SMC binds DNA nontopologically. Upon ATP binding, DNA gets clamped onto the heads, which inserts new DNA into the SMC lumen and stretches the SMC arms. Upon ATP hydrolysis, the newly captured DNA then transfers into the extruded DNA loop, enlarging it.
Yesterday we posted a #CDlab paper on @biorxivpreprint that describes careful single-molecule experiments that measure the supercoiling generated by a RNA polymerase during transcription.
Great work by @JanissenRichard @RomanBarth2 @MincoPolinder JacovdTorre
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@biorxivpreprint @JanissenRichard @RomanBarth2 @MincoPolinder Our work tests the classic twin supercoiling domain model (phrased >50 years ago by Maalφe & Kjeldgaard) that states that positive DNA supercoiling is generated ahead of the RNAP and negative supercoiling in its wake.
The data largely confirm it, but leave 1 huge puzzle!
Protein sequencing is a big deal and goes way beyond DNA sequencing. While we have ~20000 protein-coding genes, we have _millions_ of protein variants, mainly because of post-translational modifications that attach a side group to amino acids.
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Phosphorylation is the most frequent PTM, and of particular interest, as dysregulation of phosphorylation pathways is linked to many diseases including cancers, Parkinson’s, Alzheimer’s, and heart disease.
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We lack techniques to measure such PTMs on the single-molecule level! 😳
=> We need new single-molecule techniques
(Mass spectrometry requires typically more than a billion copies and often struggles to identify the correct position of a PTM between multiple candidate sites)
Today, we put 2 new #CDlab papers on the @arxiv preprint server – which both report, in different ways, on demonstrating nanoscale rotary motors that are driven by a flow through a nanopore.
@arxiv Such rotors are inspired by the awesome F0F1 ATPase motor protein in our cells. Here, a proton gradient drives rotation of F0 which induces conformational changes in F1 that catalyze production of ATP, which is the fuel for most processes in our body.
Video credit Biovisions
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We built similar rotary motors synthetically from the bottom up, using ‘DNA origami’ in great collaboration with @hendrik_dietz lab. These motor structures dock onto a nanopore and autonomously show sustained unidirectional rotations where a rod rotates at >10 rotations/sec.