Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 279

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

The genetics of geometry

Open access
Coen, Enrico, Rolland-Lagan, Anne-Gaëlle, Matthews, Mark, Bangham, J. Andrew, Prusinkiewicz, Przemyslaw·2004·Proceedings of the National Academy of Sciences

Abstract

Although much progress has been made in understanding how gene expression patterns are established during development, much less is known about how these patterns are related to the growth of biological shapes. Here we describe conceptual and experimental approaches to bridging this gap, with particular reference to plant development where lack of cell movement simplifies matters. Growth and shape change in plants can be fully described with four types of regional parameter: growth rate, anisotropy, direction, and rotation. A key requirement is to understand how these parameters both influence and respond to the action of genes. This can be addressed by using mechanistic models that capture interactions among three components: regional identities, regionalizing morphogens, and polarizing morphogens. By incorporating these interactions within a growing framework, it is possible to generate shape changes and associated gene expression patterns according to particular hypotheses. The results can be compared with experimental observations of growth of normal and mutant forms, allowing further hypotheses and experiments to be formulated. We illustrate these principles with a study of snapdragon petal growth.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0306308101

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 53 references

Cited by

See all 279

Metadata

Authors
Coen, E., Rolland-Lagan, A.-G., Matthews, M., Bangham, J. A., & Prusinkiewicz, P.
Venue
Proceedings of the National Academy of Sciences
Published
2004-02-11
Volume
101
Issue
14
Pages
4728-4735
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1970320083
Cited by
279
References
53
FWCI
7.87
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The genetics of geometry. https://app.cochat.ai/papers/10.1073/pnas.0306308101
The paper
Coen, E., Rolland-Lagan, A.-G., Matthews, M., Bangham, J. A., & Prusinkiewicz, P. (2004). The genetics of geometry. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0306308101

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.