Mapping the developing human immune system across organs Article Swipe
Chenqu Suo
,
Emma Dann
,
Issac Goh
,
Laura Jardine
,
Vitalii Kleshchevnikov
,
Jong-Eun Park
,
Rachel A. Botting
,
Emily Stephenson
,
Justin Engelbert
,
Zewen Kelvin Tuong
,
Krzysztof Polański
,
Nadav Yayon
,
Chuan Xu
,
Ondřej Suchánek
,
Rasa Elmentaite
,
Cecilia Domínguez Conde
,
Peng He
,
Sophie Pritchard
,
Mohi Miah
,
Corina Moldovan
,
Alexander S. Steemers
,
Pavel Mazin
,
Martin Prete
,
Dave Horsfall
,
John C. Marioni
,
Menna R. Clatworthy
,
Muzlifah Haniffa
,
Sarah A. Teichmann
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1126/science.abo0510
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1126/science.abo0510
Single-cell genomics studies have decoded the immune cell composition of several human prenatal organs but were limited in describing the developing immune system as a distributed network across tissues. We profiled nine prenatal tissues combining single-cell RNA sequencing, antigen-receptor sequencing, and spatial transcriptomics to reconstruct the developing human immune system. This revealed the late acquisition of immune-effector functions by myeloid and lymphoid cell subsets and the maturation of monocytes and T cells before peripheral tissue seeding. Moreover, we uncovered system-wide blood and immune cell development beyond primary hematopoietic organs, characterized human prenatal B1 cells, and shed light on the origin of unconventional T cells. Our atlas provides both valuable data resources and biological insights that will facilitate cell engineering, regenerative medicine, and disease understanding.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1126/science.abo0510
- OA Status
- green
- Cited By
- 277
- References
- 104
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280578638
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280578638Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1126/science.abo0510Digital Object Identifier
- Title
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Mapping the developing human immune system across organsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-12Full publication date if available
- Authors
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Chenqu Suo, Emma Dann, Issac Goh, Laura Jardine, Vitalii Kleshchevnikov, Jong-Eun Park, Rachel A. Botting, Emily Stephenson, Justin Engelbert, Zewen Kelvin Tuong, Krzysztof Polański, Nadav Yayon, Chuan Xu, Ondřej Suchánek, Rasa Elmentaite, Cecilia Domínguez Conde, Peng He, Sophie Pritchard, Mohi Miah, Corina Moldovan, Alexander S. Steemers, Pavel Mazin, Martin Prete, Dave Horsfall, John C. Marioni, Menna R. Clatworthy, Muzlifah Haniffa, Sarah A. TeichmannList of authors in order
- Landing page
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https://doi.org/10.1126/science.abo0510Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7612819Direct OA link when available
- Concepts
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Immune system, Biology, Myeloid, Cell, Haematopoiesis, Immunology, Computational biology, Cell biology, Stem cell, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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277Total citation count in OpenAlex
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2025: 56, 2024: 93, 2023: 86, 2022: 42Per-year citation counts (last 5 years)
- References (count)
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104Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 104 |
| abstract_inverted_index.T | 70, 102 |
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| corresponding_author_ids | https://openalex.org/A5084191533, https://openalex.org/A5082524136, https://openalex.org/A5028596003, https://openalex.org/A5030438923, https://openalex.org/A5066316755 |
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| institutions_distinct_count | 28 |
| corresponding_institution_ids | https://openalex.org/I241749, https://openalex.org/I2801663869, https://openalex.org/I2802466933, https://openalex.org/I2802476451, https://openalex.org/I34931013, https://openalex.org/I4210133722, https://openalex.org/I84884186 |
| citation_normalized_percentile.value | 0.99824544 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |