ArticleNucleic acids research2014
CellFinder: a cell data repository.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Neural Network-Based System for Rapid Diagnostic Decision Support Using FLIM Data: Segmentation and Classification in Liver, Skin, and Pancreatic Tissues.International journal of molecular sciences · 2026Article
- PreDigs: A Database of Context-specific Cell Type Markers and Precise Cell Subtypes for Digestive Cell Annotation.Genomics, proteomics & bioinformatics · 2025Article
- Cell Taxonomy: a curated repository of cell types with multifaceted characterization.Nucleic acids research · 2023Article
- Cellular Aquaculture: Prospects and Challenges.Micromachines · 2022Review
- Single-cell transcriptomics: a novel precision medicine technique in nephrology.The Korean journal of internal medicine · 2021Review
- Using Cell Type-Specific Genes to Identify Cell-Type Transitions Between DifferentFrontiers in cell and developmental biology · 2021Article
- Processing and Analysis of RNA-seq Data from Public Resources.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Human Cell Atlas and cell-type authentication for regenerative medicine.Experimental & molecular medicine · 2020Review
- Article
- Toward mapping the human body at a cellular resolution.Molecular biology of the cell · 2018Review
- The Cellosaurus, a Cell-Line Knowledge Resource.Journal of biomolecular techniques : JBT · 2018Article
- Unifying cancer and normal RNA sequencing data from different sources.Scientific data · 2018Article
- Usage of cell nomenclature in biomedical literature.BMC bioinformatics · 2017Article
- Genomic and molecular control of cell type and cell type conversions.Cell regeneration (London, England) · 2017Review
- hPSCreg--the human pluripotent stem cell registry.Nucleic acids research · 2016Article
- MGFM: a novel tool for detection of tissue and cell specific marker genes from microarray gene expression data.BMC genomics · 2015Article
- Regulatory insight into the European human pluripotent stem cell registry.Stem cells and development · 2014Article
- Therapeutic Complement Targeting in ANCA-Associated Vasculitides and Thrombotic Microangiopathy.Biomedicine hubReview
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
CellFinder (http://www.cellfinder.org) is a comprehensive one-stop resource for molecular data characterizing mammalian cells in different tissues and in different development stages. It is built from carefully selected data sets stemming from other curated databases and the biomedical literature. To date, CellFinder describes 3394 cell types and 50 951 cell lines. The database currently contains 3055 microscopic and anatomical images, 205 whole-genome expression profiles of 194 cell/tissue types from RNA-seq and microarrays and 553 905 protein expressions for 535 cells/tissues. Text mining of a corpus of >2000 publications followed by manual curation confirmed expression information on ∼900 proteins and genes. CellFinder's data model is capable to seamlessly represent entities from single cells to the organ level, to incorporate mappings between homologous entities in different species and to describe processes of cell development and differentiation. Its ontological backbone currently consists of 204 741 ontology terms incorporated from 10 different ontologies unified under the novel CELDA ontology. CellFinder's web portal allows searching, browsing and comparing the stored data, interactive construction of developmental trees and navigating the partonomic hierarchy of cells and tissues through a unique body browser designed for life scientists and clinicians.
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.