Evidence map›Paper›PMID 39165662›Full record

ArticleMatter2024

Biophysical characterization of synthetic adhesins for predicting and tuning engineered living material properties.

Stefana A Costan, Paul M Ryan, Honesty Kim, Charles W Wolgemuth, Ingmar H Riedel-Kruse

Abstract read
In one paragraph

Article in Matter, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. De Novo Autogenic Engineered Living Functional Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Article
  3. Review
  4. Programming cellular condensates for living materials using an intrinsically disordered protein display platform.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. 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.

Stefana A CostanDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Paul M RyanDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Honesty KimDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Charles W WolgemuthDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.
Ingmar H Riedel-KruseDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.

Funding

From synthetic bacterial adhesions to synthetic bacterial materialsR01GM145893 · NIGMS · UNIVERSITY OF ARIZONA · PI RIEDEL-KRUSE, HANS INGMAR · 2022 to 2025
$1.2M
NIGMS NIH HHS R01 GM145893
6 · The paper itself

Abstract

Bacterial synthetic multicellular systems are promising platforms for engineered living materials (ELMs) for medical, biosynthesis, environmental, and smart materials applications. Recent advancements in genetically encoded adhesion toolkits have enabled precise manipulation of cell-cell adhesion and the design and patterning of self-assembled multicellular materials. However, in contrast to gene regulation in synthetic biology, the characterization and control of synthetic adhesins remains limited. Here, we demonstrate the quantitative characterization of a bacterial synthetic adhesion toolbox through various biophysical methods. We determine key parameters, including number of adhesins per cell, in-membrane diffusion constant, production and decay rates, and bond-breaking force between adhesins. With these parameters, we demonstrate the bottom-up prediction and quantitative tuning of macroscopic ELM properties (tensile strength) and, furthermore, that cells inside ELMs are connected only by a small fraction of available adhesins. These results enable the rational engineering, characterization, and modeling of other synthetic and natural adhesins and multicellular consortia.

Identifiers

PMID39165662
PMCPMC11335339

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.