ArticleOncogene1999
Identification and temporal expression pattern of genes modulated during irreversible growth arrest and terminal differentiation in human melanoma cells.
Article in Oncogene, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 56 citations in OpenAlex.
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- Mechanistic contribution of ubiquitous 15-lipoxygenase-1 expression loss in cancer cells to terminal cell differentiation evasion.Cancer prevention research (Philadelphia, Pa.) · 2011Article
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- Identification of gene products suppressed by human immunodeficiency virus type 1 infection or gp120 exposure of primary human astrocytes by rapid subtraction hybridization.Journal of neurovirology · 2003Article
- Identification and cloning of human polynucleotide phosphorylase, hPNPase old-35, in the context of terminal differentiation and cellular senescence.Proceedings of the National Academy of Sciences of the United States of America · 2002Article
- The cancer growth suppressing gene mda-7 induces apoptosis selectively in human melanoma cells.Oncogene · 2002Article
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- RaSH, a rapid subtraction hybridization approach for identifying and cloning differentially expressed genes.Proceedings of the National Academy of Sciences of the United States of America · 2000Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Abnormalities in differentiation are common occurrences in human cancers. Treatment of human melanoma cells with the combination of recombinant human fibroblast interferon (IFN-beta) and the antileukemic compound mezerein (MEZ) results in a loss of tumorigenic potential that correlates with an irreversible suppression in proliferative ability and induction of terminal differentiation. It is hypothesized that this is associated with the differential expression of genes that may directly regulate cancer cell growth and differentiation. To define the relevant gene expression changes that correlate with and potentially control these important cellular processes a differentiation induction subtraction hybridization (DISH) scheme is being used. A temporally spaced subtracted differentiation inducer treated (TSS) cDNA library was constructed and differentially expressed DISH clones were isolated and evaluated using a high throughput microchip cDNA (Synteni) array screening approach. Verification of differential gene expression for specific cDNAs was confirmed by Northern blotting. The temporal kinetics of regulation and the expression pattern of DISH genes were also evaluated by microchip cDNA array screening. Using this approach with 1000 DISH cDNA clones (approximately 10% of the DISH library) has resulted in the identification and cloning of both 26 known and 11 novel cDNAs of potential relevance to growth control and terminal differentiation in human melanoma cells.
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What OpenQuestion holds
Registered trials
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.