Differentially expressed gene products in glioblastoma cells suppressed for tumorigenicity

Ligon, Azra H.; Pershouse, Mark A.; Jasser, Samar A.; Hong, Yong-Kil; Yung, WK Alfred; Steck, Peter A.

doi:10.3109/13550289809114521

Cited by 4 publications

(3 citation statements)

References 30 publications

(25 reference statements)

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“…By fusing the 5' truncated b-subunit of IR to a retroviral gag sequence, we have previously demonstrated the oncogenic potential of IR (Wang et al, 1987). IR is known to be overexpressed in a number of cancers including breast cancer , ovarian cancer (Amfo et al, 1995), thyroid cancer (Frittitta et al, 1999), and glioblastomas (Ligon et al, 1998) and has been suggested to be involved in their tumor development. In addition, IR has recently been shown to be activated by insulin-like growth factor II (IGF-II) to promote fetal development (Louvi et al, 1997) and breast cancer progression .…”

Section: Introductionmentioning

confidence: 99%

Differential requirements of the MAP kinase and PI3 kinase signaling pathways in Src- versus insulin and IGF-1 receptors-induced growth and transformation of rat intestinal epithelial cells

et al. 2000

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Section: Introductionmentioning

confidence: 99%

Differential requirements of the MAP kinase and PI3 kinase signaling pathways in Src- versus insulin and IGF-1 receptors-induced growth and transformation of rat intestinal epithelial cells

et al. 2000

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“…Labudova et al (1999a,b) applied this technique to postmortem brains of patients with Down's syndrome and identified an up-regulation in the mRNA for phosphoglycerate kinase and thyroid stimulating hormone receptor. In another application, Ligon et al (1998) used subtractive hybridization to identify genes regulated in human glioblastoma cell lines. In our laboratory, comparison of normal and autistic or Rett syndrome brains resulted in the identification of both viruses (see above) and brain transcripts that may related to neuropathology and were independently confirmed using microarray technologies.…”

Section: High Throughput Analysis Of Gene Expression In the Human Bramentioning

confidence: 99%

High throughput analysis of gene expression in the human brain

Colantuoni

Purcell

Bouton

et al. 2000

Journal of Neuroscience Research

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The human brain is thought to have the greatest complexity of gene expression of any region of the body, reflecting the diverse functions of neurons and glia. Studies of gene expression in the human brain may yield fundamental information about the phenotype of brain cells in different stages of development, in different brain regions, and in different physiological and pathological states. As the human genome project nears completion, several technological advances allow the analysis of thousands of expressed genes in a small brain sample. This review describes available sources of human brain material, and several high throughput techniques used to measure the expression of thousands of genes. These techniques include expressed sequence tag (EST) sequencing of cDNA libraries; differential display; subtractive hybridization; serial analysis of gene expression (SAGE); and the emerging technology of high density DNA microarrays. Measurement of gene expression with microarrays and other technologies has potential applications in the study of human brain diseases, including cognitive disorders for which animal models are typically not available. Gene expression measurements may be used to identify genes that are abnormally regulated as a secondary consequence of a disease state, or to identify the response of brain cells to pharmacological treatments.

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“…Several techniques have been developed to facilitate the identi®cation of genes that are expressed differentially at the RNA level in different cell populations [3,4]. These methods include differential display [5], representative difference analysis [6], subtractive hybridization, and serial analysis of gene expression (SAGE) [7]. Although they have yielded some success, major problems are their bias for abundantly expressed genes and the generation of large numbers of false positives.…”

Section: Introductionmentioning

confidence: 99%

Transcription of the inositol polyphosphate 1-phosphatase gene (INPP1) is upregulated in human colorectal cancer

Gyselman

Lalude

et al. 2000

Mol. Carcinog.

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We have used suppression subtractive hybridization to demonstrate significant overexpression of the inositol polyphosphate 1-phosphatase gene (INPP1) in colorectal cancer compared with matched normal colon epithelium. Its gene product catalyses the hydrolysis of inositol 1,3,4-trisphosphate and inositol 1, 4-bisphosphate, a key molecule in the phosphoinositide metabolic and signaling pathways. Following confirmation of the differential expression by reverse Northern dot blot analysis, fully quantitative Taqman reverse transcriptase-polymerase chain reaction assays showed that its transcription was upregulated in 42/49 colorectal tumors. There was no significant difference in four tumors and reduced transcription was observed in three. This is the first study to report the upregulation of the INPP1 gene in a human cancer and should facilitate further studies looking at the role of phosphatidylinositol signaling reactions in human colorectal cancer.

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Differentially expressed gene products in glioblastoma cells suppressed for tumorigenicity

Cited by 4 publications

References 30 publications

Differential requirements of the MAP kinase and PI3 kinase signaling pathways in Src- versus insulin and IGF-1 receptors-induced growth and transformation of rat intestinal epithelial cells

Differential requirements of the MAP kinase and PI3 kinase signaling pathways in Src- versus insulin and IGF-1 receptors-induced growth and transformation of rat intestinal epithelial cells

High throughput analysis of gene expression in the human brain

Transcription of the inositol polyphosphate 1-phosphatase gene (INPP1) is upregulated in human colorectal cancer

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