Evidence map›Paper›PMID 40034809›Full record

ReviewBioactive materials2025

Designer mammalian living materials through genetic engineering.

Mariana Gameiro, José Almeida-Pinto, Beatriz S Moura, João F Mano, Vítor M Gaspar

Abstract readReview
In one paragraph

Review in Bioactive materials, 2025. 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.

Mariana GameiroCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.
José Almeida-PintoCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.
Beatriz S MouraCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.
João F ManoCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.
Vítor M GasparCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro Campus Universitário de Santiago, Aveiro, 3810-193, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging genome editing and synthetic biology toolboxes can accurately program mammalian cells behavior from the inside-out. Such engineered living units can be perceived as key building blocks for bioengineering mammalian cell-dense materials, with promising features to be used as living therapeutics for tissue engineering or disease modeling applications. Aiming to reach full control over the code that governs cell behavior, inside-out engineering approaches have potential to fully unlock user-defined living materials encoded with tailored cellular functionalities and spatial arrangements. Dwelling on this, herein, we discuss the most recent advances and opportunities unlocked by genetic engineering strategies, and on their use for the assembly of next-generation cell-rich or cell-based materials, with an unprecedent control over cellular arrangements and customizable therapeutic capabilities. We envision that the continuous synergy between inside-out and outside-in cell engineering approaches will potentiate the future development of increasingly sophisticated cell assemblies that may operate with augmented biofunctionalities.

Indexed as

Genetic engineeringLiving materialsMammalian cellsSynthetic biologyTissue engineering

Identifiers

PMID40034809
PMCPMC11872553

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.