Evidence map›Paper›PMID 10445855›Full record

ArticleOncogene1999

Expression scanning of an array of growth control genes in human tumor cell lines.

F Bertucci, S Van Hulst, K Bernard, B Loriod, S Granjeaud, R Tagett, M Starkey, C Nguyen, B Jordan, D Birnbaum

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Oncogene, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Genomic-Wide Analysis with Microarrays in Human Oncology.Microarrays (Basel, Switzerland) · 2015
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors.

F BertucciLaboratoire de Biologie des Tumeurs, Institut Paoli-Calmettes, IFR 57, Marseille, France.
S Van Hulst
K Bernard
B Loriod
S Granjeaud
R Tagett
M Starkey
C Nguyen
B Jordan
D Birnbaum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of gene expression on a medium- or large-scale is an increasingly recognized method for functional and clinical investigations based on the now extensive catalog of known or partially sequenced genes. The accessibility of this approach can be enhanced by using readily available technology (macroarrays on Nylon, radioactive detection) and the IMAGE resource to assemble sets of targets. We have set up such a medium-scale, flexible system and validated it by the study of quantitative expression levels for 120 genes in six cell lines, including three mammary carcinoma cell lines. A number of important parameters are identified as necessary for the assembly of a valid set and the obtention of good-quality quantitative data. The extensive data assembled in this survey identified potential targets of carcinogenesis, for example the CRABP2 and GATA3 transcription factor genes. We also demonstrate the feasibility of this procedure for relatively small tumor samples, without recourse to probe amplification methods.

Indexed as

Image Processing, Computer-AssistedNucleic Acid HybridizationBreast NeoplasmsCell DivisionDNA, ComplementaryFemaleGene Expression Regulation, NeoplasticHumansImmunityMembranes, ArtificialNeoplasmsReproducibility of ResultsSubtraction TechniqueTumor Cells, CulturedDNA, ComplementaryMembranes, Artificial

Identifiers

PMID10445855

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.