Evidence map›Paper›PMID 41188068›Full record

ArticleNucleic acids research2026

CCCdb: a comprehensive manually curated database for cell-cell communication in human and mouse.

Mingcong Xu, Guorui Zhang, Xuan Wang, Yiqing Chen, Chenchen Feng, Jincheng Guo, Xuan Fan, Liyuan Liu, Yuezhu Wang, Ting Cui and 8 more

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Mingcong XuThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Guorui ZhangThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Xuan WangThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Yiqing ChenSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 1000209, China.
Chenchen FengSchool of Computer, University of South China, Hengyang, Hunan 421001, China.
Jincheng GuoSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 1000209, China.
Xuan FanSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 1000209, China.
Liyuan LiuThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Yuezhu WangThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.ORCID 0009-0009-4095-6473
Ting CuiThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Jiaqi LiuThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Libo LuoThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Qing XunThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Yiguang FanThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Xiaoyu MaThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Huifang TangThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Chunquan LiThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.ORCID 0000-0002-4700-5496
Desi ShangThe First Affiliated Hospital & Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.ORCID 0000-0002-9141-393X

Funding

Health Research Project of Hunan Provincial Health Commission W20241008Hunan Provincial Health High-Level Talent Scientific Research Project R2023131National Natural Science Foundation of China 62171166National Natural Science Foundation of China 62272211National Natural Science Foundation of China 62572223National Natural Science Foundation of China 82570463Natural Science Foundation of Hunan Province 2023JJ30535Natural Science Foundation of Hunan Province 2023JJ30536Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0528200The Innovation Platform and Talent Program 2023TP1047The Science and Technology Innovation Program of Hunan Province 2024RC1062University of South China 20214310NHYCG03University of South China 20224310NHYCG05
6 · The paper itself

Abstract

Cell-cell communication (CCC) is central to the organization, function, and plasticity of multicellular life. Advancing experimental technologies and growing insights into complex multicellular systems and disease microenvironments are driving the demand for experimentally validated CCCs that are systematically and manually curated across diverse tissues, phenotypes, and signaling modalities. Here, we present CCCdb (http://www.licpathway.net/cccdb/index.php), a comprehensive, manually curated database of experimentally validated CCCs for human and mouse. A total of 8467 entries were extracted from thousands of publications, each annotated with standardized information on cell types, tissues, and phenotypes. These entries cover 98 tissues, 1132 cell types, and 548 phenotypes, mediated through communication via direct contact, autocrine, paracrine, and endocrine signaling. CCCdb curates experiment-supported CCCs across cellular subtypes, tissue interfaces, and physiological or pathological states. To enhance accessibility and biological interpretability, CCCdb integrates a ReAct-based AI assistant that enables intelligent natural-language queries and intuitive navigation through biological information. We believe that CCCdb will serve as a foundational resource for elucidating the mechanisms by which cells maintain tissue homeostasis and drive disease progression.

Indexed as

Cell CommunicationDatabases, FactualAnimalsData CurationHumansMiceSignal TransductionSoftware

Identifiers

PMID41188068
PMCPMC12807721

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.