Evidence mapPaperPMID 38467625Full record

ArticleNature communications2024

An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome.

Shixuan Liu, Camille Ezran, Michael F Z Wang, Zhengda Li, Kyle Awayan, Tabula Microcebus Consortium, Jonathan Z Long, Iwijn De Vlaminck, Sheng Wang, Jacques Epelbaum and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Geometrical compartmentalization of trigger waves.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Mouse lemurs.Nature methods · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 20 institutions in 9 countries.

Shixuan LiuDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4972-415X
Camille EzranDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5706-4847
Michael F Z WangMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Zhengda LiDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA.
Kyle AwayanChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-4442-3270
Tabula Microcebus Consortium
Jonathan Z LongDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2631-7463
Iwijn De VlaminckMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Sheng WangPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0439-5199
Jacques EpelbaumAdaptive Mechanisms and Evolution (MECADEV), UMR 7179, National Center for Scientific Research, National Museum of Natural History, Brunoy, France.
Christin S KuoDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Jérémy TerrienAdaptive Mechanisms and Evolution (MECADEV), UMR 7179, National Center for Scientific Research, National Museum of Natural History, Brunoy, France.
Mark A KrasnowDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA. krasnow@stanford.edu.ORCID http://orcid.org/0000-0002-1976-5471
James E FerrellDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA. james.ferrell@stanford.edu.ORCID http://orcid.org/0000-0003-4767-3926
Stanford University · USChan Zuckerberg Initiative (United States) · USHoward Hughes Medical Institute · USUniversity of California, San Francisco · USHong Kong University of Science and Technology · HKAllen Institute for Brain Science · USMuséum national d'Histoire naturelle · FRCalifornia Institute for Regenerative Medicine · USDuke University · USThe University of Texas at Austin · USAarhus University · DKCardiovascular Institute of the South · USCornell University · USInserm · FRNeurosciences Institute · USStanford Medicine · USUniversity of Antananarivo · MGAgency for Science, Technology and Research · SGJohns Hopkins University · USKyushu University · JP

Funding

Regulation of proliferation and differentiation in the male germ line adult stem cell lineageR35GM136433 · NIGMS · STANFORD UNIVERSITY · PI MARGARET T FULLER · 2020 to 2026
$5.9M
Cytoplasmic organization and systems-level function in Xenopus extractsR35GM131792 · NIGMS · STANFORD UNIVERSITY · PI JAMES E. FERRELL · 2019 to 2026
$5.6M
Organ system cross talk in ischemic heart diseaseR01AG086072 · NIA · STANFORD UNIVERSITY · PI Patricia Kim Phuong Nguyen · 2024 to 2026
$1.5M
NIA NIH HHS R01 AG086072NIGMS NIH HHS R35 GM131792NIGMS NIH HHS R35 GM136433
6 · The paper itself

Abstract

Hormones mediate long-range cell communication and play vital roles in physiology, metabolism, and health. Traditionally, endocrinologists have focused on one hormone or organ system at a time. Yet, hormone signaling by its very nature connects cells of different organs and involves crosstalk of different hormones. Here, we leverage the organism-wide single cell transcriptional atlas of a non-human primate, the mouse lemur (Microcebus murinus), to systematically map source and target cells for 84 classes of hormones. This work uncovers previously-uncharacterized sites of hormone regulation, and shows that the hormonal signaling network is densely connected, decentralized, and rich in feedback loops. Evolutionary comparisons of hormonal genes and their expression patterns show that mouse lemur better models human hormonal signaling than mouse, at both the genomic and transcriptomic levels, and reveal primate-specific rewiring of hormone-producing/target cells. This work complements the scale and resolution of classical endocrine studies and sheds light on primate hormone regulation.

Indexed as

CheirogaleidaeAnimalsBiological EvolutionHormonesTranscriptomeHormones

Identifiers

PMID38467625
PMCPMC10928088
OpenAlexW4392662730

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.