Evidence map›Paper›PMID 42603823›Full record

ArticleNature communications2026

Automated synthetic cell-based screening for designed proteins with emergent functions.

Kareem Al Nahas, Béla P Frohn, Aleksandra Šakanović, Frank Siedler, Petra Schwille

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kareem Al NahasDept. Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Martinsried, Germany. alnahas@biochem.mpg.de.ORCID http://orcid.org/0000-0003-4568-5894
Béla P FrohnDept. Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0003-3067-9184
Aleksandra ŠakanovićDept. Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0001-5789-4779
Frank SiedlerDept. Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Martinsried, Germany.
Petra SchwilleDept. Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Martinsried, Germany. schwille@biochem.mpg.de.ORCID http://orcid.org/0000-0002-6106-4847

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) ERC Synergy Grant MetaDivide, no. 101167181
6 · The paper itself

Abstract

Designing minimal biological systems with emergent functions such as spatiotemporal self-organization is a central goal of bottom-up synthetic biology. While computational optimization and design show promise in accelerating functional protein engineering through Design-Build-Test-Learn cycles, screening libraries for complex functions remains a major challenge. Conventional screens typically lack the spatiotemporal resolution and cell-like confinement required in bottom-up synthetic biology. Here, we present PUREdrop, an automated microfluidic platform that encapsulates and expresses protein libraries in thousands of picoliter-sized synthetic cells per construct. PUREdrop distributes these across predefined wells of a 96-well plate for time-lapse imaging, enabling parallel quantification of expression kinetics and emergent functions. To demonstrate the platform's potential, we first screen computationally re-designed variants of the bacterial cell division protein FtsZ, and identify variants with altered bundling phenotypes and distinct kinetics. We then extend our screening procedure to general protein modulators of FtsZ and identify a combination that anchors filaments to the interface, producing a ring-like phenotype. PUREdrop bridges computational protein engineering and synthetic cell research, elevating the rational engineering of complex biological function to the next level.

Indexed as

Artificial CellsBacterial ProteinsCytoskeletal ProteinsProtein EngineeringSynthetic BiologyAutomationEscherichia coliKineticsMicrofluidicsTime-Lapse ImagingBacterial ProteinsCytoskeletal ProteinsFtsZ protein, Bacteria

Identifiers

PMID42603823
PMCPMC13477476

What OpenQuestion holds

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Registered trials

None linked

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.