Evidence map›Paper›PMID 16381901›Full record

ArticleNucleic acids research2006

The LIFEdb database in 2006.

Alexander Mehrle, Heiko Rosenfelder, Ingo Schupp, Coral del Val, Dorit Arlt, Florian Hahne, Stephanie Bechtel, Jeremy Simpson, Oliver Hofmann, Winston Hide and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2006. 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
1.5field-weighted citation impact, top 19% of its field
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, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The mitochondrial proteome and human disease.Annual review of genomics and human genetics · 2010
    Review
  10. Article
  11. Human Proteinpedia as a resource for clinical proteomics.Molecular & cellular proteomics : MCP · 2008
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

15 authors at 1 institution in 1 country.

Alexander MehrleDivision Molecular Genome Analysis, German Cancer Research Center, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. a.mehrle@dkfz.de
Heiko Rosenfelder
Ingo Schupp
Coral del Val
Dorit Arlt
Florian Hahne
Stephanie Bechtel
Jeremy Simpson
Oliver Hofmann
Winston Hide
Karl-Heinz Glatting
Wolfgang Huber
Rainer Pepperkok
Annemarie Poustka
Stefan Wiemann
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LIFEdb (http://www.LIFEdb.de) integrates data from large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. New features of LIFEdb include (i) an updated user interface with enhanced query capabilities, (ii) a configurable output table and the option to download search results in XML, (iii) the integration of data from cell-based screening assays addressing the influence of protein-overexpression on cell proliferation and (iv) the display of the relative expression ('Electronic Northern') of the genes under investigation using curated gene expression ontology information. LIFEdb enables researchers to systematically select and characterize genes and proteins of interest, and presents data and information via its user-friendly web-based interface.

Indexed as

Databases, GeneticGene ExpressionGenomicsCell ProliferationComputational BiologyDNA, ComplementaryGenesInternetProteinsRecombinant Fusion ProteinsSystems IntegrationUser-Computer InterfaceDNA, ComplementaryProteinsRecombinant Fusion Proteins

Identifiers

PMID16381901
PMCPMC1347501
OpenAlexW2144435864

What OpenQuestion holds

Textmetadata
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.