Evidence map›Paper›PMID 20959292›Full record

ArticleNucleic acids research2011

The Pancreatic Expression database: 2011 update.

Rosalind J Cutts, Emanuela Gadaleta, Stephan A Hahn, Tatjana Crnogorac-Jurcevic, Nicholas R Lemoine, Claude Chelala

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
  4. Article
  5. Article
  6. Review
  7. MicroRNA Targeted Therapeutic Approach for Pancreatic Cancer.International journal of biological sciences · 2016
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Using BioMart as a framework to manage and query pancreatic cancer data.Database : the journal of biological databases and curation · 2011
    Article
  18. Integration of proteomics into systems biology of cancer.Wiley interdisciplinary reviews. Systems biology and medicine
    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.

Rosalind J CuttsCentre for Molecular Oncology and Imaging, Institute of Cancer and CR-UK Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Emanuela Gadaleta
Stephan A Hahn
Tatjana Crnogorac-Jurcevic
Nicholas R Lemoine
Claude Chelala

Funding

Cancer Research UK 12008Cancer Research UK C355/A6253
6 · The paper itself

Abstract

The Pancreatic Expression database (PED, http://www.pancreasexpression.org) has established itself as the main repository for pancreatic-derived -omics data. For the past 3 years, its data content and access have increased substantially. Here we describe several of its new and improved features, such as data content, which now includes over 60,000 measurements derived from transcriptomics, proteomics, genomics and miRNA profiles from various pancreas-centred reports on a broad range of specimen and experimental types. We also illustrate the capabilities of its interface, which allows integrative queries that can combine PED data with a growing number of biological resources such as NCBI, Ensembl, UniProt and Reactome. Thus, PED is capable of retrieving and integrating different types of -omics, annotations and clinical data. We also focus on the importance of data sharing and interoperability in the cancer field, and the integration of PED into the International Cancer Genome Consortium (ICGC) data portal.

Indexed as

Databases, GeneticGene ExpressionAnimalsGene Expression ProfilingGenomicsHumansMicroRNAsPancreasPancreatic NeoplasmsProteomicsUser-Computer InterfaceMicroRNAs

Identifiers

PMID20959292
PMCPMC3013788

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.