Evidence map›Paper›PMID 18231609›Full record

ArticlePloS one2008

A biomedically enriched collection of 7000 human ORF clones.

Andreas Rolfs, Yanhui Hu, Lars Ebert, Dietmar Hoffmann, Dongmei Zuo, Niro Ramachandran, Jacob Raphael, Fontina Kelley, Seamus McCarron, Daniel A Jepson and 8 more

Abstract read
In one paragraph

Article in PloS one, 2008. 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. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. New technologies in cancer. Protein microarrays for biomarker discovery.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2011
    Review
  9. Article
  10. Article
  11. Article
  12. Target identification using drug affinity responsive target stability (DARTS).Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  13. Biomedical text mining and its applications.PLoS computational biology · 2009
    Article
  14. Article
  15. Applications of protein microarrays for biomarker discovery.Proteomics. Clinical applications · 2008
    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

18 authors.

Andreas RolfsHarvard Institute of Proteomics, Harvard Medical School, Cambridge, Massachusetts, USA.
Yanhui Hu
Lars Ebert
Dietmar Hoffmann
Dongmei Zuo
Niro Ramachandran
Jacob Raphael
Fontina Kelley
Seamus McCarron
Daniel A Jepson
Binghua Shen
Munira M A Baqui
Joseph Pearlberg
Elena Taycher
Craig DeLoughery
Andreas Hoerlein
Bernhard Korn
Joshua LaBaer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the production and availability of over 7000 fully sequence verified plasmid ORF clones representing over 3400 unique human genes. These ORF clones were derived using the human MGC collection as template and were produced in two formats: with and without stop codons. Thus, this collection supports the production of either native protein or proteins with fusion tags added to either or both ends. The template clones used to generate this collection were enriched in three ways. First, gene redundancy was removed. Second, clones were selected to represent the best available GenBank reference sequence. Finally, a literature-based software tool was used to evaluate the list of target genes to ensure that it broadly reflected biomedical research interests. The target gene list was compared with 4000 human diseases and over 8500 biological and chemical MeSH classes in approximately 15 Million publications recorded in PubMed at the time of analysis. The outcome of this analysis revealed that relative to the genome and the MGC collection, this collection is enriched for the presence of genes with published associations with a wide range of diseases and biomedical terms without displaying a particular bias towards any single disease or concept. Thus, this collection is likely to be a powerful resource for researchers who wish to study protein function in a set of genes with documented biomedical significance.

Indexed as

Open Reading FramesCloning, MolecularGenetic Predisposition to DiseaseHumansSequence Analysis, DNA

Identifiers

PMID18231609
PMCPMC2211400

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.