Evidence map›Paper›PMID 41237770›Full record

ArticleCurrent biology : CB2025

Divergence of immune cell types in chordate blood.

Tal D Scully, C J Pickett, Nicolas A Gort-Freitas, Bradley Davidson, Allon M Klein

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Article in Current biology : CB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tal D ScullyDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
C J PickettDepartment of Biology, Swarthmore College, Swarthmore, PA 19081, USA.
Nicolas A Gort-FreitasDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Bradley DavidsonDepartment of Biology, Swarthmore College, Swarthmore, PA 19081, USA.
Allon M KleinDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: allon_klein@hms.harvard.edu.

Funding

Micro-capsule technology for high-throughput analyses of cell-cell interactionsR01GM153805 · NIGMS · HARVARD MEDICAL SCHOOL · PI Allon Moshe Klein · 2024 to 2026
$1.1M
NIGMS NIH HHS R01 GM153805
6 · The paper itself

Abstract

Evolutionary adaptations often occur at the level of cell types and cellular function. Innate immune cells are a promising system for studying cell-type evolution, as they are widespread across metazoans, have several conserved functions, and are under selective pressure from pathogens. However, molecular characterizations of invertebrate immune cells are limited, and it remains unclear whether invertebrate immune cell types are homologous to those in vertebrates. Here, we use single-cell RNA sequencing, in situ hybridization, and live reporters to define the identity of blood cell states in Ciona robusta, a member of the tunicate subphylum, the sister group to vertebrates. We find evidence that C. robusta circulating blood contains a differentiation hierarchy, with at least five major lineages, constituting more than 75% of circulating cells. The mature cell states include phagocytes, as well as cells variously expressing vanadium-binding proteins, carbonic anhydrases, pattern recognition receptors, cytokines, and complement factors. Despite the expression of homologs to vertebrate immune components, extensive divergence between tunicate and vertebrate immune cells obscures cell-state homology. Altogether, this work modernizes blood cell classifications in C. robusta and extends the known repertoire of immune cells within chordates.

Indexed as

Blood CellsCiona intestinalisImmunity, InnateAnimalsBiological Evolutioncell-type evolutionCiona robustacross-species homologyevolution of hematopoietic hierarchyinvertebrate chordatesnon-vertebrate immune cellsorigins of immunityphagocytesvanadocytes

Identifiers

PMID41237770
PMCPMC13503012

What Socratic holds

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Registered trials

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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 Socratic graph.