Evidence map›Paper›PMID 32358710›Full record

ArticleJournal of the history of biology2020

Synthetic Morphology: A Vision of Engineering Biological Form.

Gabriele Gramelsberger

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the history of biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Gabriele GramelsbergerRheinisch Westfälische Technische Hochschule Aachen, Aachen, Germany. gramelsberger@humtec.rwth-aachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological engineering is an emerging research area in synthetic biology. In 2008 "synthetic morphology" was proposed as a prospective approach to engineering self-constructing anatomies by Jamie A. Davies of the University of Edinburgh. Synthetic morphology can establish a new paradigm, according to Davies, insofar as "cells can be programmed to organize themselves into specific, designed arrangements, structures and tissues." It is obvious that this new approach will extrapolate morphology into a new realm beyond the traditional logic of morphological research. However, synthetic morphology is a highly idealized vision of morphology which derives its visionary ideas from morphological engineering and mathematical idealizations in order to understand the principles of molecular morphology. Thus, the question is, if this approach will help to understand morphogenesis better or if it will just enable biologists to engineer morphogenesis. The paper investigates the development of synthetic morphology and its relation to synthetic biology as well as its epistemic gains.

Indexed as

Alan TuringJamie A. DaviesLewis WolpertMorphogenSynthetic biologySynthetic morphology

Identifiers

What OpenQuestion holds

Textmetadata
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.