Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System
Using the MICROMAX™ cDNA microarray system, we were able to identify genes that are differentially overexpressed in ovarian cancer. A total of 30 putative genes, which are differentially overexpressed in ovarian cancer cell lines, were identified. The differential expression of some of these genes w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2001-03-01
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| Series: | BioTechniques |
| Online Access: | https://www.future-science.com/doi/10.2144/01303dd05 |
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| _version_ | 1850152900873945088 |
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| author | Kwong-Kwok Wong Rita S. Cheng Samuel C. Mok |
| author_facet | Kwong-Kwok Wong Rita S. Cheng Samuel C. Mok |
| author_sort | Kwong-Kwok Wong |
| collection | DOAJ |
| description | Using the MICROMAX™ cDNA microarray system, we were able to identify genes that are differentially overexpressed in ovarian cancer. A total of 30 putative genes, which are differentially overexpressed in ovarian cancer cell lines, were identified. The differential expression of some of these genes was further confirmed by real-time RT-PCR. Using this strategy, we have identified genes that either overexpress in all cancer cell lines or in only some cancer cell lines. Further characterization of these genes will allow them to be exploited in diagnosis, prognosis, anticancer therapy, and molecular classification of ovarian cancer. |
| format | Article |
| id | doaj-art-5ea5d5dafb334678bc2d7fd03ecbb705 |
| institution | OA Journals |
| issn | 0736-6205 1940-9818 |
| language | English |
| publishDate | 2001-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | BioTechniques |
| spelling | doaj-art-5ea5d5dafb334678bc2d7fd03ecbb7052025-08-20T02:25:51ZengTaylor & Francis GroupBioTechniques0736-62051940-98182001-03-0130367067510.2144/01303dd05Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray SystemKwong-Kwok Wong0Rita S. Cheng1Samuel C. Mok21Pacific Northwest National Laboratory, Molecular Biosciences, Richland, WA, USA1Pacific Northwest National Laboratory, Molecular Biosciences, Richland, WA, USA1Pacific Northwest National Laboratory, Molecular Biosciences, Richland, WA, USAUsing the MICROMAX™ cDNA microarray system, we were able to identify genes that are differentially overexpressed in ovarian cancer. A total of 30 putative genes, which are differentially overexpressed in ovarian cancer cell lines, were identified. The differential expression of some of these genes was further confirmed by real-time RT-PCR. Using this strategy, we have identified genes that either overexpress in all cancer cell lines or in only some cancer cell lines. Further characterization of these genes will allow them to be exploited in diagnosis, prognosis, anticancer therapy, and molecular classification of ovarian cancer.https://www.future-science.com/doi/10.2144/01303dd05 |
| spellingShingle | Kwong-Kwok Wong Rita S. Cheng Samuel C. Mok Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System BioTechniques |
| title | Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System |
| title_full | Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System |
| title_fullStr | Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System |
| title_full_unstemmed | Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System |
| title_short | Identification of Differentially Expressed Genes from Ovarian Cancer Cells by MICROMAX™ cDNA Microarray System |
| title_sort | identification of differentially expressed genes from ovarian cancer cells by micromax™ cdna microarray system |
| url | https://www.future-science.com/doi/10.2144/01303dd05 |
| work_keys_str_mv | AT kwongkwokwong identificationofdifferentiallyexpressedgenesfromovariancancercellsbymicromaxcdnamicroarraysystem AT ritascheng identificationofdifferentiallyexpressedgenesfromovariancancercellsbymicromaxcdnamicroarraysystem AT samuelcmok identificationofdifferentiallyexpressedgenesfromovariancancercellsbymicromaxcdnamicroarraysystem |