Evidence map›Paper›PMID 36243976›Full record

ArticleNucleic acids research2023

CellTracer: a comprehensive database to dissect the causative multilevel interplay contributing to cell development trajectories.

Qiuyan Guo, Peng Wang, Qian Liu, Yangyang Hao, Yue Gao, Yue Qi, Rongji Xu, Hongyan Chen, Mengyu Xin, Xiaoting Wu and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 7 citations in OpenAlex.

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  7. TMPO-AS1-hsa-let-7b-5p-EZH2-RNA network predicts poor survival in basal-like breast cancer patients.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
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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

15 authors at 1 institution in 1 country.

Qiuyan GuoDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Peng WangDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-5716-9937
Qian LiuDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yangyang HaoDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue GaoDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue QiDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Rongji XuDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hongyan ChenDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Mengyu XinDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xiaoting WuDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Rui SunDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Hui ZhiDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0001-9103-8642
Yunpeng ZhangDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shangwei NingDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-4079-8945
Xia LiDepartment of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-9794-2648
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the complex process of tumour development, the unique destiny of cells is driven by the fine-tuning of multilevel features such as gene expression, network regulation and pathway activation. The dynamic formation of the tumour microenvironment influences the therapeutic response and clinical outcome. Thus, characterizing the developmental landscape and identifying driver features at multiple levels will help us understand the pathological development of disease in individual cell populations and further contribute to precision medicine. Here, we describe a database, CellTracer (http://bio-bigdata.hrbmu.edu.cn/CellTracer), which aims to dissect the causative multilevel interplay contributing to cell development trajectories. CellTracer consists of the gene expression profiles of 1 941 552 cells from 222 single-cell datasets and provides the development trajectories of different cell populations exhibiting diverse behaviours. By using CellTracer, users can explore the significant alterations in molecular events and causative multilevel crosstalk among genes, biological contexts, cell characteristics and clinical treatments along distinct cell development trajectories. CellTracer also provides 12 flexible tools to retrieve and analyse gene expression, cell cluster distribution, cell development trajectories, cell-state variations and their relationship under different conditions. Collectively, CellTracer will provide comprehensive insights for investigating the causative multilevel interplay contributing to cell development trajectories and serve as a foundational resource for biomarker discovery and therapeutic exploration within the tumour microenvironment.

Indexed as

Cell LineageDatabases, FactualDatabases, GeneticHumansNeoplasmsSingle-Cell AnalysisTranscriptomeTumor Microenvironment

Identifiers

PMID36243976
PMCPMC9825461
OpenAlexW4306353452

What OpenQuestion 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 OpenQuestion graph.