Evidence map›Paper›PMID 41171146›Full record

ArticleNucleic acids research2026

connectomeDB2025: a rigorously curated, multi-species resource of experimentally supported ligand-receptor interactions.

Peiwen Liu, Sakura Eri B Maezono, Weitao Lin, Yen Yeow, Ya-Yu Liu, Yasmin Hisham, Rui Hou, Jordan A Ramilowski, Alistair R R Forrest

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Toward mechanistic virtual immune cells.Nature biotechnology · 2026
    Article
  4. Article
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

9 authors.

Peiwen LiuHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0009-0004-3096-4465
Sakura Eri B MaezonoAdvanced Medical Research Center, Yokohama City University, Yokohama, Kanagawa 236-0004, Japan.ORCID 0000-0003-1348-9370
Weitao LinHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0000-0003-4385-9897
Yen YeowHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0000-0002-2341-6354
Ya-Yu LiuHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0009-0008-4420-5178
Yasmin HishamPalestine-Korea Biotechnology Center, Palestine Polytechnic University, Hebron, State of Palestine. Current: RIKEN Center for Sustainable Resource Science (CSRS), Yokohama, Kanagawa 230-0045, Japan.ORCID 0000-0003-1708-7205
Rui HouHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0000-0001-6571-1514
Jordan A RamilowskiAdvanced Medical Research Center, Yokohama City University, Yokohama, Kanagawa 236-0004, Japan.ORCID 0000-0002-3156-6416
Alistair R R ForrestHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA 6009, Australia.ORCID 0000-0003-4543-1675

Funding

Cancer Council of Western AustraliaCancer Research Trustgovernments of AustraliaJapan Society for the Promotion of ScienceMinistry of Education 24K02016National Health and Medical Research Council 2025225National Natural Science Foundation of China 32200540Western Australia
6 · The paper itself

Abstract

Inferring cell-cell communication networks is now a cornerstone of single-cell RNA-seq and spatial transcriptomics data analysis, relying critically on reference catalogues of experimentally supported ligand-receptor interactions. Here, we present the updated, rigorously curated connectomeDB, an open-access database of peptide-based ligand-receptor pairs comprising 3579 vertebrate interactions supported by primary experimental evidence from 2803 research articles. By critically reviewing all putative ligand-receptor pairs from connectomeDB2020, CellChatDB v2, CellPhoneDB v5, CellTalkDB, ICELLNET v2, and LIANA+, we first removed over 2900 misclassified or unsupported interactions lacking primary-literature evidence. We then expanded the resulting verified dataset through AI-assisted literature mining and manual curation, adding 827 pairs and 718 supporting articles absent from other databases, including 264 pairs first described since 2020. connectomeDB2025 contains 5429 evidence links ("triplets"), each connecting a ligand-receptor pair to a specific publication, collectively providing at least one source of primary experimental evidence for each interaction. Notably, 2359 of these triplets are exclusive to connectomeDB2025, making it the most robustly supported ligand-receptor database with primary experimental evidence. The online resource (https://connectomedb.org) provides searchable, downloadable ligand-receptor lists and detailed pair summaries, enabling accurate cell-cell communication analysis across human, mouse, and 12 other vertebrate species.

Indexed as

Databases, GeneticAnimalsCell CommunicationData CurationHumansLigandsMiceLigands

Identifiers

PMID41171146
PMCPMC12807709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.