Emergence of division of labor in tissues through cell interactions and spatial cues Article Swipe
Miri Adler
,
Noa Moriel
,
Aleksandrina Goeva
,
Inbal Avraham‐Davidi
,
Simon Mages
,
Taylor Adams
,
Naftali Kaminski
,
Evan Z. Macosko
,
Aviv Regev
,
Ruslan Medzhitov
,
Mor Nitzan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.celrep.2023.112412
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.celrep.2023.112412
Most cell types in multicellular organisms can perform multiple functions. However, not all functions can be optimally performed simultaneously by the same cells. Functions incompatible at the level of individual cells can be performed at the cell population level, where cells divide labor and specialize in different functions. Division of labor can arise due to instruction by tissue environment or through self-organization. Here, we develop a computational framework to investigate the contribution of these mechanisms to division of labor within a cell-type population. By optimizing collective cellular task performance under trade-offs, we find that distinguishable expression patterns can emerge from cell-cell interactions versus instructive signals. We propose a method to construct ligand-receptor networks between specialist cells and use it to infer division-of-labor mechanisms from single-cell RNA sequencing (RNA-seq) and spatial transcriptomics data of stromal, epithelial, and immune cells. Our framework can be used to characterize the complexity of cell interactions within tissues.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.celrep.2023.112412
- OA Status
- gold
- Cited By
- 44
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366712706
All OpenAlex metadata
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https://openalex.org/W4366712706Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.celrep.2023.112412Digital Object Identifier
- Title
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Emergence of division of labor in tissues through cell interactions and spatial cuesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-21Full publication date if available
- Authors
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Miri Adler, Noa Moriel, Aleksandrina Goeva, Inbal Avraham‐Davidi, Simon Mages, Taylor Adams, Naftali Kaminski, Evan Z. Macosko, Aviv Regev, Ruslan Medzhitov, Mor NitzanList of authors in order
- Landing page
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https://doi.org/10.1016/j.celrep.2023.112412Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.celrep.2023.112412Direct OA link when available
- Concepts
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Division of labour, Cell division, Biology, Division (mathematics), Cell biology, Evolutionary biology, Economic geography, Cell, Genetics, Geography, Economics, Market economy, Mathematics, ArithmeticTop concepts (fields/topics) attached by OpenAlex
- Cited by
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44Total citation count in OpenAlex
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2025: 20, 2024: 19, 2023: 5Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.cell-cell | 100 |
| abstract_inverted_index.cell-type | 81 |
| abstract_inverted_index.construct | 110 |
| abstract_inverted_index.different | 46 |
| abstract_inverted_index.framework | 67, 139 |
| abstract_inverted_index.functions | 13 |
| abstract_inverted_index.optimally | 16 |
| abstract_inverted_index.organisms | 5 |
| abstract_inverted_index.performed | 17, 33 |
| abstract_inverted_index.collective | 85 |
| abstract_inverted_index.complexity | 146 |
| abstract_inverted_index.expression | 95 |
| abstract_inverted_index.functions. | 9, 47 |
| abstract_inverted_index.individual | 29 |
| abstract_inverted_index.mechanisms | 74, 122 |
| abstract_inverted_index.optimizing | 84 |
| abstract_inverted_index.population | 37 |
| abstract_inverted_index.sequencing | 126 |
| abstract_inverted_index.specialist | 114 |
| abstract_inverted_index.specialize | 44 |
| abstract_inverted_index.environment | 58 |
| abstract_inverted_index.epithelial, | 134 |
| abstract_inverted_index.instruction | 55 |
| abstract_inverted_index.instructive | 103 |
| abstract_inverted_index.investigate | 69 |
| abstract_inverted_index.performance | 88 |
| abstract_inverted_index.population. | 82 |
| abstract_inverted_index.single-cell | 124 |
| abstract_inverted_index.trade-offs, | 90 |
| abstract_inverted_index.characterize | 144 |
| abstract_inverted_index.contribution | 71 |
| abstract_inverted_index.incompatible | 24 |
| abstract_inverted_index.interactions | 101, 149 |
| abstract_inverted_index.computational | 66 |
| abstract_inverted_index.multicellular | 4 |
| abstract_inverted_index.simultaneously | 18 |
| abstract_inverted_index.distinguishable | 94 |
| abstract_inverted_index.ligand-receptor | 111 |
| abstract_inverted_index.transcriptomics | 130 |
| abstract_inverted_index.division-of-labor | 121 |
| abstract_inverted_index.self-organization. | 61 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5040597705, https://openalex.org/A5067199884, https://openalex.org/A5089298685 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I107606265, https://openalex.org/I1344073410, https://openalex.org/I197251160, https://openalex.org/I32971472, https://openalex.org/I63966007 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.97531364 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |