Cited by 265Developmental Biology and Gene RegulationGenomics and Chromatin DynamicsGene Regulatory Network Analysis

One hundred years of positional information.

Wolpert, Lewis·1996·Trends in Genetics

Abstract

One mechanism by which spatial patterns of cell differentiation could be specified during embryonic development and regeneration is based on positional information. Cells acquire a positional value with respect to boundaries and then interpret this in terms of a programme determined by their genetic constitution and developmental history. The signals and the molecular basis of such a system have both been rather well conserved. Recent work has shown that cells can respond to quite small differences in the concentrations of molecules whose concentration could provide positional information.

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Crossref · 10.1016/s0168-9525(96)80019-9

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Authors
Wolpert, L.
Affiliations
University College London (GB)
Corresponding author
Wolpert, Lewis
Venue
Trends in Genetics
Publisher
Elsevier BV
Published
1996-09
Volume
12
Issue
9
Pages
359-364
ISSN
0168-9525 (ISSN-L)
OpenAlex
W2060034125
Cited by
265
References
20
Citations by year
2025: 4 · 2024: 2 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 8 · 2019: 8 · 2018: 8 · 2017: 11 · 2016: 7 · 2015: 9 · 2014: 7 · 2013: 6 · 2012: 16
FWCI
0.55
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Genetics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
positional information, cell differentiation, embryonic development, regeneration, morphogen gradients, concentration gradient, cell fate specification, developmental history, signal transduction
MeSH terms
Animals, Cell Differentiation, Drosophila, Forecasting, Models, Biological, Regeneration, Xenopus, Signal Transduction, Gene Expression Regulation, Developmental, Mice

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