ArticleNucleic acids research2012
The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed.
- Article
- Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020Review
- Web resources for stem cell research.Genomics, proteomics & bioinformatics · 2015Review
- Databases and collaboration require standards for human stem cell research.Drug discovery today · 2015Review
- Human cancer databases (review).Oncology reports · 2015Review
- From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics.PloS one · 2015Article
- Transcriptomics and proteomics in stem cell research.Frontiers of medicine · 2014Review
- Data management strategies for multinational large-scale systems biology projects.Briefings in bioinformatics · 2014Review
- linkedISA: semantic representation of ISA-Tab experimental metadata.BMC bioinformatics · 2014Article
- GigaDB: promoting data dissemination and reproducibility.Database : the journal of biological databases and curation · 2014Article
- The Risa R/Bioconductor package: integrative data analysis from experimental metadata and back again.BMC bioinformatics · 2014Article
- Semantic Web repositories for genomics data using the eXframe platform.Journal of biomedical semantics · 2014Article
- Pathprinting: An integrative approach to understand the functional basis of disease.Genome medicine · 2013Article
- Systems and Network Pharmacology Approaches to Cancer Stem Cells Research and Therapy.Journal of stem cell research & therapy · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Mounting evidence suggests that malignant tumors are initiated and maintained by a subpopulation of cancerous cells with biological properties similar to those of normal stem cells. However, descriptions of stem-like gene and pathway signatures in cancers are inconsistent across experimental systems. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), we have developed the Stem Cell Discovery Engine (SCDE)-an online database of curated CSC experiments coupled to the Galaxy analytical framework. The SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. Our initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. The SCDE is available at http://discovery.hsci.harvard.edu.
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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.