Evidence map›Paper›PMID 38414826›Full record

ArticleSynthetic biology (Oxford, England)2024

Screening putative polyester polyurethane degrading enzymes with semi-automated cell-free expression and nitrophenyl probes.

Afrin Ahsan, Dominique Wagner, Vanessa A Varaljay, Victor Roman, Nancy Kelley-Loughnane, Nigel F Reuel

Open access · goldAbstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Afrin AhsanDepartment of Chemical and Biological Engineering, Iowa State University, Ames, IA, USA.
Dominique WagnerMaterials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH, USA.ORCID https://orcid.org/0000-0002-5963-2948
Vanessa A VaraljayMaterials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH, USA.
Victor RomanMaterials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH, USA.
Nancy Kelley-LoughnaneMaterials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH, USA.
Nigel F ReuelDepartment of Chemical and Biological Engineering, Iowa State University, Ames, IA, USA.ORCID https://orcid.org/0000-0003-3438-2919
United States Air Force Research Laboratory · USIowa State University · US

Funding

Unsupervised optimization of protein therapeutics using closed-loop in vitro synthesis, nanosensing,and deep-learningR35GM138265 · NIGMS · IOWA STATE UNIVERSITY · PI Nigel F Reuel · 2020 to 2026
$2.3M
NIGMS NIH HHS R35 GM138265
6 · The paper itself

Abstract

Cell-free expression (CFE) has shown recent utility in prototyping enzymes for discovery efforts. In this work, CFE is demonstrated as an effective tool to screen putative polyester polyurethane degrading enzyme sequences sourced from metagenomic analysis of biofilms prospected on aircraft and vehicles. An automated fluid handler with a controlled temperature block is used to assemble the numerous 30 µL CFE reactions to provide more consistent results over human assembly. In sum, 13 putative hydrolase enzymes from the biofilm organisms as well as a previously verified, polyester-degrading cutinase were expressed using in-house

Indexed as

cell freeenzymeshigh throughput screeningplastic degradation

Identifiers

PMID38414826
PMCPMC10898825
OpenAlexW4392208005

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.