Evidence map›Paper›PMID 22039163›Full record

ArticleDatabase : the journal of biological databases and curation2011

CELLPEDIA: a repository for human cell information for cell studies and differentiation analyses.

Akiko Hatano, Hirokazu Chiba, Harry Amri Moesa, Takeaki Taniguchi, Satoshi Nagaie, Koji Yamanegi, Takako Takai-Igarashi, Hiroshi Tanaka, Wataru Fujibuchi

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Physical models reveal indirect reader protein interactions that facilitate epigenetic crosstalk.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Physical modeling of nucleosome clustering in euchromatin resulting from interactions between epigenetic reader proteins.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Review
  5. AgingReG: a curated database of aging regulatory relationships in humans.Database : the journal of biological databases and curation · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Self-renewing endometrial epithelial organoids of the human uterus.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Toward mapping the human body at a cellular resolution.Molecular biology of the cell · 2018
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. CellFinder: a cell data repository.Nucleic acids research · 2014
    Article
  20. 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

9 authors.

Akiko HatanoComputational Biology Research Center, Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan.
Hirokazu Chiba
Harry Amri Moesa
Takeaki Taniguchi
Satoshi Nagaie
Koji Yamanegi
Takako Takai-Igarashi
Hiroshi Tanaka
Wataru Fujibuchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CELLPEDIA is a repository database for current knowledge about human cells. It contains various types of information, such as cell morphologies, gene expression and literature references. The major role of CELLPEDIA is to provide a digital dictionary of human cells for the biomedical field, including support for the characterization of artificially generated cells in regenerative medicine. CELLPEDIA features (i) its own cell classification scheme, in which whole human cells are classified by their physical locations in addition to conventional taxonomy; and (ii) cell differentiation pathways compiled from biomedical textbooks and journal papers. Currently, human differentiated cells and stem cells are classified into 2260 and 66 cell taxonomy keys, respectively, from which 934 parent-child relationships reported in cell differentiation or transdifferentiation pathways are retrievable. As far as we know, this is the first attempt to develop a digital cell bank to function as a public resource for the accumulation of current knowledge about human cells. The CELLPEDIA homepage is freely accessible except for the data submission pages that require authentication (please send a password request to cell-info@cbrc.jp). Database URL: http://cellpedia.cbrc.jp/

Indexed as

Cell Physiological PhenomenaDatabase Management SystemsDatabases, FactualCell DifferentiationCellsHumansUser-Computer Interface

Identifiers

PMID22039163
PMCPMC3204613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.