Evidence map›Paper›PMID 24319503›Full record

ArticleProcedia computer science2013

Modeling the evolution of gene regulatory networks for spatial patterning in embryo development.

Alexander V Spirov, David M Holloway

Open access · diamondAbstract read
In one paragraph

Article in Procedia computer science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Alexander V SpirovComputer Science and CEWIT, SUNY Stony Brook, Stony Brook, New York, USA; and The Sechenov Institute of Evolutionary Physiology & Biochemistry, St.-Petersburg, Russia.
David M Holloway
British Columbia Institute of Technology · CA

Funding

Understanding Robust Development: Experiment and TheoryR01GM072022 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SPIROV, ALEXANDER V · 2004 to 2014
$2.7M
Understanding Embryonic Robustness: Quantitative Experiments and TheoryR56GM072022 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SPIROV, ALEXANDER V · 2009 to 2009
$312k
NIGMS NIH HHS R01 GM072022NIGMS NIH HHS R56 GM072022
6 · The paper itself

Abstract

A central question in evolutionary biology concerns the transition between discrete numbers of units (e.g. vertebrate digits, arthropod segments). How do particular numbers of units, robust and characteristic for one species, evolve into another number for another species? Intermediate phases with a diversity of forms have long been theorized, but these leave little fossil or genomic data. We use evolutionary computations (EC) of a gene regulatory network (GRN) model to investigate how embryonic development is altered to create new forms. The trajectories are epochal and non-smooth, in accord with both the observed stability of species and the evolvability between forms.

Indexed as

biological evolutionevolution in silicoevolutionry modellinggene regulatory networksgenetic algorithms

Identifiers

PMID24319503
PMCPMC3849711
OpenAlexW1965505293

What OpenQuestion holds

Textmetadata
LicenceTDM
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.