Enabling neighbour-labelling: using synthetic biology to explore how cells influence their neighbours

Mattias Malaguti; Tamina Lebek; Guillaume Blin; Sally Lowell

doi:10.1242/dev.201955

Enabling neighbour-labelling: using synthetic biology to explore how cells influence their neighbours

Mattias Malaguti^*, Tamina Lebek, Guillaume Blin, Sally Lowell^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Cell-cell interactions are central to development, but exploring how a change in any given cell relates to changes in the neighbour of that cell can be technically challenging. Here, we review recent developments in synthetic biology and image analysis that are helping overcome this problem. We highlight the opportunities presented by these advances and discuss opportunities and limitations in applying them to developmental model systems.

Original language	English
Article number	dev201955
Number of pages	13
Journal	Development
Volume	151
Issue number	1
DOIs	https://doi.org/10.1242/dev.201955
Publication status	Published - 2 Jan 2024

Keywords / Materials (for Non-textual outputs)

Cell-cell interactions
Image analysis
Neighbour labelling
SynNotch
Synthetic signalling

Access to Document

10.1242/dev.201955

dev201955Final published version, 1.07 MBLicence: Creative Commons: Attribution (CC-BY)

1 Finished
2 Active

Quantitative analysis of human notochord development
Blin, G.
BBSRC
1/02/22 → 31/01/25
Project: Research
Mechanistic links between morphogenesis and differentiation
Lowell, S.
UK-based charities
20/11/21 → 19/11/26
Project: Research
21EBTA Engineering Biology for Cell and Gene Therapy Applications
Rosser, S., Calvert, J., Cobb, S., Davies, J., Menolascina, F., Pollard, S. & Stracquadanio, G.
BBSRC
31/01/22 → 30/01/24
Project: Research

Cite this

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title = "Enabling neighbour-labelling: using synthetic biology to explore how cells influence their neighbours",

abstract = "Cell-cell interactions are central to development, but exploring how a change in any given cell relates to changes in the neighbour of that cell can be technically challenging. Here, we review recent developments in synthetic biology and image analysis that are helping overcome this problem. We highlight the opportunities presented by these advances and discuss opportunities and limitations in applying them to developmental model systems. ",

keywords = "Cell-cell interactions, Image analysis, Neighbour labelling, SynNotch, Synthetic signalling",

author = "Mattias Malaguti and Tamina Lebek and Guillaume Blin and Sally Lowell",

year = "2024",

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AU - Malaguti, Mattias

AU - Lebek, Tamina

AU - Blin, Guillaume

AU - Lowell, Sally

PY - 2024/1/2

Y1 - 2024/1/2

N2 - Cell-cell interactions are central to development, but exploring how a change in any given cell relates to changes in the neighbour of that cell can be technically challenging. Here, we review recent developments in synthetic biology and image analysis that are helping overcome this problem. We highlight the opportunities presented by these advances and discuss opportunities and limitations in applying them to developmental model systems.

AB - Cell-cell interactions are central to development, but exploring how a change in any given cell relates to changes in the neighbour of that cell can be technically challenging. Here, we review recent developments in synthetic biology and image analysis that are helping overcome this problem. We highlight the opportunities presented by these advances and discuss opportunities and limitations in applying them to developmental model systems.

KW - Cell-cell interactions

KW - Image analysis

KW - Neighbour labelling

KW - SynNotch

KW - Synthetic signalling

U2 - 10.1242/dev.201955

DO - 10.1242/dev.201955

M3 - Article

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VL - 151

JO - Development

JF - Development

IS - 1

M1 - dev201955

ER -

Enabling neighbour-labelling: using synthetic biology to explore how cells influence their neighbours

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

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Projects

Quantitative analysis of human notochord development

Mechanistic links between morphogenesis and differentiation

21EBTA Engineering Biology for Cell and Gene Therapy Applications

Cite this