Evidence map›Paper›PMID 19900968›Full record

ArticleNucleic acids research2010

dbDEPC: a database of differentially expressed proteins in human cancers.

Hong Li, Ying He, Guohui Ding, Chuan Wang, Lu Xie, Yixue Li

Abstract read
In one paragraph

Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. dbGENVOC: database of GENomic Variants of Oral Cancer, with special reference to India.Database : the journal of biological databases and curation · 2021
    Article
  2. Article
  3. Article
  4. Review
  5. DEXTER: Disease-Expression Relation Extraction from Text.Database : the journal of biological databases and curation · 2018
    Article
  6. Article
  7. Human cancer databases (review).Oncology reports · 2015
    Review
  8. Article
  9. Bioinformatics for cancer immunology and immunotherapy.Cancer immunology, immunotherapy : CII · 2012
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

6 authors.

Hong LiKey Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, PR China.
Ying He
Guohui Ding
Chuan Wang
Lu Xie
Yixue Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-related investigations have long been in the limelight of biomedical research. Years of effort from scientists and doctors worldwide have generated large amounts of data at the genome, transcriptome, proteome and even metabolome level, and DNA and RNA cancer signature databases have been established. Here we present a database of differentially expressed proteins in human cancers (dbDEPC), with the goal of collecting curated cancer proteomics data, providing a resource for information on protein-level expression changes, and exploring protein profile differences among different cancers. dbDEPC currently contains 1803 proteins differentially expressed in 15 cancers, curated from 65 mass spectrometry (MS) experiments in peer-reviewed publications. In addition to MS experiments, low-throughput experiment data from the same literatures and cancer-associated genes from external databases were also integrated to provide some validation information. Furthermore, dbDEPC associates differential proteins with important structural variations in the human genome, such as copy number variations or single nucleotide polymorphisms, which might be helpful for explaining changes in protein expression at the DNA level. Data in dbDEPC can be queried by protein identifier, description or sequence; the retrieved protein entry provides the differential expression pattern seen in cancers, along with detailed annotations. dbDEPC is expected to be a reference database for cancer signatures at the protein level. This database is provided at http://dbdepc.biosino.org/index/.

Indexed as

Databases, GeneticGene Expression Regulation, NeoplasticComputational BiologyDatabases, ProteinDNAGene Expression ProfilingGenome, HumanHumansInformation Storage and RetrievalInternetNeoplasmsProteomeRNASoftwareDNAProteomeRNA

Identifiers

PMID19900968
PMCPMC2808941

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Registered trials

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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.