Evidence map›Paper›PMID 31485382›Full record

ArticleMRS communications2019

Coupling synthetic biology and programmable materials to construct complex tissue ecosystems.

Catherine S Millar-Haskell, Allyson M Dang, Jason P Gleghorn

Abstract read
In one paragraph

Article in MRS communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Chlamydia trachomatis Infection in a Microphysiologic Cell Culture Model.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  8. Protein Language Models are Accidental Taxonomists.bioRxiv : the preprint server for biology · 2025
    Article
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  10. Article
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  18. Review
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

3 authors.

Catherine S Millar-HaskellDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716.
Allyson M DangDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716.
Jason P GleghornDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
Chemistry-Biology Interface Predoctoral Training Grant 2024-2029T32GM133395 · NIGMS · UNIVERSITY OF DELAWARE · PI Catherine Leimkuhler Grimes · 2019 to 2026
$3.7M
Pressure in lung development and congenital diaphragmatic herniaR01HL133163 · NHLBI · UNIVERSITY OF DELAWARE · PI GLEGHORN, JASON PAUL · 2017 to 2021
$1.9M
Arsenic-mediated fibrosis and developmental dysregulation in the fetal lungR21ES027962 · NIEHS · UNIVERSITY OF DELAWARE · PI GLEGHORN, JASON PAUL · 2018 to 2019
$411k
NHLBI NIH HHS R01 HL133163NIEHS NIH HHS R21 ES027962NIGMS NIH HHS T32 GM008550NIGMS NIH HHS T32 GM133395
6 · The paper itself

Abstract

Synthetic biology combines engineering and biology to produce artificial systems with programmable features. Specifically, engineered microenvironments have advanced immensely over the past few decades, owing in part to the merging of materials with biological mimetic structures. In this review, we adapt a traditional definition of community ecology to describe "cellular ecology", or the study of the distribution of cell populations and interactions within their microenvironment. We discuss two exemplar hydrogel platforms: (1) self-assembling peptide (SAP) hydrogels and (2) Poly(ethylene) glycol (PEG) hydrogels and describe future opportunities for merging smart material design and synthetic biology within the scope of multicellular platforms.

Indexed as

biomimeticcellular ecologymulticellularself-assembly

Identifiers

PMID31485382
PMCPMC6724541

What OpenQuestion holds

Textmetadata
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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.