Evidence map›Paper›PMID 39416453›Full record

ArticleBiotechnology notes (Amsterdam, Netherlands)2022

Following the organism to map synthetic genomics.

Maya Hey, Erika A Szymanski

Abstract read
In one paragraph

Article in Biotechnology notes (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Maya HeyColorado State University, Department of English, USA.
Erika A SzymanskiColorado State University, Department of English, USA.

Funding

Wellcome Trust 222863
6 · The paper itself

Abstract

Synthetic genomics, or engineering biology at the level of whole genomes and whole organisms, is an emerging outgrowth of parts-based synthetic biology. This nascent subfield is also diverse and difficult to characterize. As social scientists investigating responsible research and innovation in synthetic genomics, we suggest that focusing on the organism is a fruitful approach to making sense of the diversity it encompasses. Here, we offer a heuristic in the form of a tagging system to organize projects by the roles the engineered organism is asked to perform. We suggest several reasons why this system is useful for understanding the current shape and future directions of the field, especially in light of the need to ask: how does engineering biology contribute to building a future of sustainable relationships with other creatures?

Indexed as

Model organismsOrganismsParts-to-whole assemblyResponsible research and innovationSynthetic genomics

Identifiers

PMID39416453
PMCPMC11446350

What OpenQuestion holds

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LicenceCC BY
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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.