Evidence map›Paper›PMID 42752876›Full record

ArticleProtein engineering, design & selection : PEDS2026

Towards directed evolution of rare earth element binding peptides using genetically encoded sensitizing amino acids.

Riley M Bednar, Jason G Marmorstein, Kathleen J Stebe, E James Petersson

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Riley M BednarDepartment of Chemistry, University of Pennsylvania, 231 S. 34 Street, Philadelphia, PA 19104, United States.
Jason G MarmorsteinDepartment of Chemistry, University of Pennsylvania, 231 S. 34 Street, Philadelphia, PA 19104, United States.
Kathleen J StebeDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, 220 South 33rd Street, Philadelphia, PA 19104, United States.
E James PeterssonDepartment of Chemistry, University of Pennsylvania, 231 S. 34 Street, Philadelphia, PA 19104, United States.ORCID 0000-0003-3854-9210

Funding

The GCE4All Center: Unleashing the Potential of Genetic Code Expansion for Biomedical ResearchRM1GM144227 · NIGMS · OREGON STATE UNIVERSITY · PI RYAN A MEHL · 2022 to 2026
$6.2M
Bruker RapifleX MALDI TOF/TOF Mass SpectrometerS10OD030460 · OD · UNIVERSITY OF PENNSYLVANIA · PI PETERSSON, ERNEST JAMES · 2021 to 2021
$881k
Department of Energy DOE DE-SC0022240GCE4All biomedical Technology Development and Dissemination CenterNational Institutes of Health include MALDI MS NIH S10-OD030460National Science Foundation NSF CBET 2402669NIGMS NIH HHS RM1 GM144227NIGMS NIH HHS RM1-GM144227NIH HHS S10 OD030460Vagelos Institute for Energy Science and Technology
6 · The paper itself

Abstract

As demand for the rare earth elements (REEs) that power new and emerging technologies increases rapidly, there is a growing need for next-generation separations systems that can provide more selective isolation of these critical, but difficult-to-purify materials. Due to their evolvability and compatibility with existing separations platforms, polypeptides represent an ideal and environmentally-friendly chassis with which to meet this challenge; however, there exist no high-throughput approaches to selecting polypeptides with improved affinity and selectivity towards the various REEs, chiefly due to the difficulty of detecting a selectable phenotype. Here, we present work towards overcoming this obstacle by developing a bacterial display platform for the direct sensing of REE binding in living bacterial cells. Our approach exploits the antenna effect, which allows a sufficiently proximal fluorophore to sensitize a bound europium ion and stimulate emission through resonant energy transfer, and makes use of genetic code expansion to insert a fluorescent amino acid directly into the polypeptide backbone in cellulo. We find that targeting a model lanthanide-binding peptide to the periplasm enables the accumulation of sufficient concentrations of this binder in an easily accessible subcellular localization such that robust signal can be detected. Through optimization of encoding, sensitization, and handling, we further improve our signal up to >20-fold over control cells lacking binders and demonstrate facile differentiation and characterization of several variant peptides. Our work paves the way for high-throughput synthetic evolution of REE binding polypeptides with expanded functionality.

Indexed as

Amino AcidsDirected Molecular EvolutionEuropiumMetals, Rare EarthPeptidesEscherichia coliAmino AcidsEuropiumMetals, Rare EarthPeptidesbacterial displaydirected evolutiongenetic code expansionlanthanide binding peptideluminescent resonant energy transferrare earth elements

Identifiers

PMID42752876
PMCPMC13625638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.