Andreas Walther

Andreas Walther

@waltherlab.bsky.social

Professor in Mainz/GER for Life-Like Systems and Materials, Max Planck Fellow, Travel and Food Enthusiast 🧳, AvHumboldt Postdoc-Scout 📧 me https://www.walther-group.com

1.3K followers656 following129 posts

Join us as a #PhD #Researcher or #Postdoc to answer bold questions on our new #ERC Advanced Grant: Protoecologies between Artificial Cells and Mammalian Cells. #ArtificialCells #SyntheticCells #SyntheticBiology #Biomaterials #DNANanotechnology #biomaterials #cellbiology #SystemsChemistry

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Please share this opportunity with researchers who may be a strong fit. #PhDPositions #PostdocJobs #ArtificialCells #SyntheticCells #SyntheticBiology #Biomaterials #DNANanotechnology #biomaterials #cellbiology #SystemsChemistry #ERC

Join us as a #PhD #Researcher or #Postdoc to answer bold questions on our new #ERC Advanced Grant: Protoecologies between Artificial Cells and Mammalian Cells. #ArtificialCells #SyntheticCells #SyntheticBiology #Biomaterials #DNANanotechnology #biomaterials #cellbiology #SystemsChemistry

We want to answer one main question: Can synthetic cells live, communicate, and cooperate with mammalian cells? Can we build ecologies? What emergent properties would they have? What new therapeutic concepts could this enable in the biomaterials world?

Andreas Walther reposted

Andreas Walther reposted

👏👏👏Congratulations to SFB 1551 group leaders Edward Lemke @lemkelab.bsky.social and Andreas Walther @waltherlab.bsky.social at Johannes Gutenberg University Mainz (JGU) @unimainz.bsky.social @imbmainz.bsky.social on being awarded prestigious European Research Council (ERC) Advanced Grants.

#ERCAdG für zwei Forschende der #UniMainz: Biophysiker Edward Lemke und Chemiker Andreas Walther erhalten Förderung in Millionenhöhe von der EU 👉 presse.uni-mainz.de/erc-advanced-… #ERCAdvancedGrant #Biophysik #Biomaterialien @imbmainz.bsky.social #ERC @erc.europa.eu @waltherlab.bsky.social

🚀 We are recruiting 2 PhD researchers to join the Walther Lab @ JGU Mainz! Help us build intelligent matter: synthetic cells and hydrogel materials that compute, adapt, move, learn, or make simple decisions. #PhDPosition #SyntheticCells #Hydrogels

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You will join an international, interdisciplinary team working at the interface of systems chemistry, DNA nanoscience, polymer materials, synthetic cells, soft matter, and life-like materials. Possible association with the Max Planck Graduate Center.

📍 Mainz, Germany 📅 Start: from July 2026 ⏳ Rolling evaluation; deadline end of May 2026 🔗 More info: www.walther-group.com Please share with excellent Master’s students who want to build adaptive, life-like, intelligent molecular systems.

🚀 We are recruiting 2 PhD researchers to join the Walther Lab @ JGU Mainz! Help us build intelligent matter: synthetic cells and hydrogel materials that compute, adapt, move, learn, or make simple decisions. #PhDPosition #SyntheticCells #Hydrogels

🧬 PhD 1: DNA-based Synthetic Cells We aim to engineer enzymatically active synthetic cells with reaction modules, emergent behaviours such as flow/propulsion, and adaptive features such as habituation and sensitisation. #DNANanoscience #ActiveMatter

🧪 PhD 2: Chemo-mechano Materials We will combine hydrogels, mechanical metamaterials, and chemical reaction networks to create materials where geometry, mechanics, and chemistry feed back on each other. #SystemsChemistry #Mechanochemistry

Because the whole system is built from nucleic acids, it is naturally compatible with DNA strand displacement and reaction networks. That allowed us to go beyond static sensing and introduce reversible switching and temporal programming of mechanosensitivity.

We think this could open exciting future opportunities in tissue engineering, morphogenesis, dynamic cell programming, and multi-layered mechanical-biochemical control. Very happy that this work was supported by our ERC funding. #ERCfunded @erc.europa.eu

Tao Xu developed an all-DNA mechanosensing platform in which aptamers act as synthetic receptor ligands embedded into force-responsive DNA mechanoprobes. This enables cell-type-selective force sensing rather than relying only on broadly expressed classical receptors such as integrins.

A key idea is that aptamers let us access noncanonical surface receptors for mechanotransduction. Using this, we could probe distinct mechanical inputs, including actomyosin-driven contractility and membrane ruffling during macropinocytosis

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🧱 Key message: We add a new computational dimension - hardware-level programmability - to chemical computing. Function is reassigned by physical reconfiguration, not molecular redesign.

🔮 Why this matters: Reconfigurable soft microfluidics point toward adaptive chemical matter, embodied computation, and future closed-loop chemical learning systems. #physicalintelligence #softmatter #adaptivematerials

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🌊 Then things get fun: With a pH oscillator, reconfigurable geometry gives rise to standing chemical waves. Emergent spatiotemporal patterns from the interplay of reaction dynamics × flow × structure. #complexity #oscillator #noneqsys

🧠 These patterns become computation: The material system itself acts as a physical reservoir, enabling analogue & reservoir computing. Nonlinear functions are recovered with a simple linear readout: The complexity lives in the material. #reservoircomputing

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🔁 This enables something powerful: The same molecular system can perform different computations simply by changing physical structure. No new DNA strands. No new chemistry. Just new geometry. #chemicalcomputation #systemschemistry

🧬 We show this first with switchable DNA logic: AND ↔ OR gates realized using the same DNA network — logic reassigned purely by reconfiguring microfluidic flow paths. #DNAnanoscience

💡 The core idea: Instead of encoding computation only in chemistry, we make the reaction vessel itself programmable. Soft hydrogel structures can be written & erased in situ, reshaping flow, mixing, and reaction environments on demand. #3Dprinting #microfluidics

I will soon be in Singapore (22-31.Jan) for the Dean's Distinguished Speaker Series #NTU #Singapore hosted by Ali Miserez. Very excited to go and thank you to Ali! @Singaporean researchers, if you want to meet me, I am happy to do so. PLease send me a direct message.

Andreas Walther reposted

🖥️ New Publication Alert Congratulations to Eric Schumbera, @dormannlab.bsky.social, @waltherlab.bsky.social & @miguelandrade66.bsky.social on their recent publication in BMC Genomics #RGmotifs #IDRs #LLPS #HumanProteome #ComputationalMotifAnalysis bmcgenomics.biomedcentral.com/articles/10....

bmcgenomics.biomedcentral.comComputational investigation of the sequence context of arginine/glycine-rich motifs in the human proteome - BMC GenomicsArginine-glycine (RG)-rich motifs are among the most prevalent RNA-binding elements within intrinsically disordered regions (IDRs) of proteins and play crucial roles in RNA metabolism, gene regulation, and the formation of membraneless organelles via liquid phase separation (LLPS). Despite their biological relevance and implication in neurological disorders and cancer, the sequence features and context dependencies that define functional RG motifs remain poorly characterized owing to their disordered nature and sequence variability. In this study, we present a computational framework to dissect the sequence and structural context of RG motifs across the human proteome. By contrasting a functionally defined positive dataset—enriched for RNA-binding and phase-separating proteins—with a negative dataset of RG motif proteins lacking these annotations, we identified distinct compositional and contextual signatures. RG motifs in the functionally defined positive dataset show increased enrichment of phenylalanine, tyrosine, aspartic acid, and asparagine, both within and around the motif, as well as nonrandom spatial relationships with structured RNA-binding domains. Notably, phenylalanine and tyrosine exhibit divergent positional and functional profiles, suggesting distinct mechanistic roles. Our analysis highlights the potential of sequence-based approaches to uncover functional determinants in disordered protein regions and further advances our understanding of the properties of RG motifs, offering a transferable framework for the study of other low-complexity motifs.