ArticleNucleic acids research2015
StemChecker: a web-based tool to discover and explore stemness signatures in gene sets.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
93 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A peripheral blood-based approach involving vimentin along with AURKA enabled efficient tracking of elusive Oct4/Sox2-expressing disseminated breast cancer stem cells.Bioscience reports · 2026Article
- Identification and validation of stemness-associated hub genes in cervical cancer: a bioinformatics and experimental study.World journal of surgical oncology · 2026Article
- Identification and characterization of lncRNA-stemness-immune regulatory patterns.Briefings in bioinformatics · 2026Article
- Development of a risk model for outcome prediction and treatment guidance in lung adenocarcinoma based on hypoxia, glycolysis, and lymph node metastasis-related genes.Discover oncology · 2026Article
- Targeting pre-existing club-like cells in prostate cancer potentiates androgen deprivation therapy.EMBO molecular medicine · 2026Article
- Article
- Stemness signature RBBP7 reprograms the immune microenvironment to inform a prognostic model in esophageal carcinoma.Frontiers in immunology · 2026Article
- Identification of differentiation markers and immune microenvironment in head and neck squamous cell carcinoma using machine learning combined with single-cell analysis.Translational cancer research · 2025Article
- Novel insights into hypoxia-driven transcriptomic and epigenetic landscapes in grade 3 meningioma.Journal of translational medicine · 2025Article
- Article
- Identification of 5mC regulatory factors mediating methylation patterns and prognosis models in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Decoding breast cancer heterogeneity: a novel three-gene signature links intratumoral heterogeneity with tumor microenvironment and patient outcomes.Discover oncology · 2025Article
- Integrative stemness- and EMT-related gene signatures associated with prognosis and the immune microenvironment in lung adenocarcinoma.Discover oncology · 2025Article
- Unraveling the interrelationship between breast cancer and endometriosis based on multi-omics analysis.Discover oncology · 2025Article
- Combined quetiapine and radiation therapy approach to treat mesothelioma-initiating cells and increase survival in a mouse model of mesothelioma.bioRxiv : the preprint server for biology · 2025Article
- Mesothelioma cell heterogeneity identified by single cell RNA sequencing.Scientific reports · 2025Article
- Transcriptomic profiling reveals mechanism, therapeutic potential, and prognostic value of cancer stemness characteristic in nasopharyngeal carcinoma.Functional & integrative genomics · 2025Article
- LOXScientific reports · 2025Article
- Identifying ADME-related gene signature for immune landscape and prognosis in KIRC by single-cell and spatial transcriptome analysis.Scientific reports · 2025Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stem cells present unique regenerative abilities, offering great potential for treatment of prevalent pathologies such as diabetes, neurodegenerative and heart diseases. Various research groups dedicated significant effort to identify sets of genes-so-called stemness signatures-considered essential to define stem cells. However, their usage has been hindered by the lack of comprehensive resources and easy-to-use tools. For this we developed StemChecker, a novel stemness analysis tool, based on the curation of nearly fifty published stemness signatures defined by gene expression, RNAi screens, Transcription Factor (TF) binding sites, literature reviews and computational approaches. StemChecker allows researchers to explore the presence of stemness signatures in user-defined gene sets, without carrying-out lengthy literature curation or data processing. To assist in exploring underlying regulatory mechanisms, we collected over 80 target gene sets of TFs associated with pluri- or multipotency. StemChecker presents an intuitive graphical display, as well as detailed statistical results in table format, which helps revealing transcriptionally regulatory programs, indicating the putative involvement of stemness-associated processes in diseases like cancer. Overall, StemChecker substantially expands the available repertoire of online tools, designed to assist the stem cell biology, developmental biology, regenerative medicine and human disease research community. StemChecker is freely accessible at http://stemchecker.sysbiolab.eu.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.