Evidence map›Paper›PMID 23888037›Full record

ArticleScience (New York, N.Y.)2013

Identification of a colonial chordate histocompatibility gene.

Ayelet Voskoboynik, Aaron M Newman, Daniel M Corey, Debashis Sahoo, Dmitry Pushkarev, Norma F Neff, Benedetto Passarelli, Winston Koh, Katherine J Ishizuka, Karla J Palmeri and 8 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

54 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Article
  3. Electrical stimulation promotes longevity and regeneration in a colonial chordate.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Survival Benefits Outweigh Germline Competition Costs in Kin Chimeras.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Genotype-specific expression ofbioRxiv : the preprint server for biology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. A family of unusual immunoglobulin superfamily genes in an invertebrate histocompatibility complex.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Review
  19. Review
  20. Marine drugs · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Ayelet VoskoboynikInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA. ayeletv@stanford.edu
Aaron M Newman
Daniel M Corey
Debashis Sahoo
Dmitry Pushkarev
Norma F Neff
Benedetto Passarelli
Winston Koh
Katherine J Ishizuka
Karla J Palmeri
Ivan K Dimov
Chen Keasar
H Christina Fan
Gary L Mantalas
Rahul Sinha
Lolita Penland
Stephen R Quake
Irving L Weissman
Stanford University · USBen-Gurion University of the Negev · ILPacific University · US

Funding

Leveraging innovative technologies in basic and clinical cancer researchT32CA009302 · NCI · STANFORD UNIVERSITY · PI LAURA D ATTARDI, Aaron M Newman · 1985 to 2026
$19.1M
Stanford Career Development in Vascular MedicineK12HL087746 · NHLBI · STANFORD UNIVERSITY · PI DALMAN, RONALD L · 2007 to 2012
$3.5M
Genes, cells, and pathways that regulate urochordate allogeneic stem cell competition and their mammalian homologuesR01GM100315 · NIGMS · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2012 to 2019
$2.8M
Cellular and molecular mechanisms of aging and regeneration in colonial chordateR01AG037968 · NIA · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2010 to 2014
$1.5M
Application of Boolean Networks to discover stem and progenitor cellsR00CA151673 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAHOO, DEBASHIS · 2014 to 2016
$717k
Molecular Characterization of Predatory Stem Cells in a Chimeric ProtochordateR56AI089968 · NIAID · STANFORD UNIVERSITY · PI WEISSMAN, IRVING L. · 2010 to 2010
$400k
Application of Boolean Networks to discover stem and progenitor cellsK99CA151673 · NCI · STANFORD UNIVERSITY · PI SAHOO, DEBASHIS · 2011 to 2012
$304k
Howard Hughes Medical InstituteNCI NIH HHS K99 CA151673NCI NIH HHS K99CA151673-01A1NCI NIH HHS R00 CA151673NCI NIH HHS T32 CA009302NHLBI NIH HHS K12 HL087746NIAID NIH HHS 1R56AI089968NIAID NIH HHS R56 AI089968NIA NIH HHS 1R01AG037968NIA NIH HHS R01 AG037968NIGMS NIH HHS R01 GM100315NIGMS NIH HHS R01GM100315
6 · The paper itself

Abstract

Histocompatibility is the basis by which multicellular organisms of the same species distinguish self from nonself. Relatively little is known about the mechanisms underlying histocompatibility reactions in lower organisms. Botryllus schlosseri is a colonial urochordate, a sister group of vertebrates, that exhibits a genetically determined natural transplantation reaction, whereby self-recognition between colonies leads to formation of parabionts with a common vasculature, whereas rejection occurs between incompatible colonies. Using genetically defined lines, whole-transcriptome sequencing, and genomics, we identified a single gene that encodes self-nonself and determines "graft" outcomes in this organism. This gene is significantly up-regulated in colonies poised to undergo fusion and/or rejection, is highly expressed in the vasculature, and is functionally linked to histocompatibility outcomes. These findings establish a platform for advancing the science of allorecognition.

Indexed as

GenesAllelesAnimalsGenomeGenotypeHistocompatibilityImmune ToleranceMolecular Sequence DataSequence Analysis, DNATranscriptomeUp-RegulationUrochordata

Identifiers

PMID23888037
PMCPMC3810301
OpenAlexW2075132251

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.