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51k human unigene iii cdna microarrays  (Unigene)
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Unigene 51k human unigene iii cdna microarrays
Figure 1. Characterization of the experimental model. A, left, schematic presentation of the experimental model. Pairs of fast-growing or dormant tumor cell lines were generated from various tumor types. Whereas fast-growing tumor cells (red) generate tumors that expand rapidly, injection of dormant tumor cells (gray) resulted in occult lesions that were difficult to be detected by gross examination. Bar, 1 mm. The pictures are of tumors injected s.c. on the right flank of SCID mice. The top picture is of dormant glioblastoma, 111 d after the injection of the tumor cells. The bottom picture is of an angiogenic, fast-growing osteosarcoma, 48 d after the injection of the tumor cells. Right, schematic presentation of the in vivo tumor growth patterns of the human tumor models used. Red lines, growth of tumors generated from the fast-growing tumor cell lines; gray lines, tumors generated from the dormant tumor cell lines. These lines represent the earliest time point at which a tumor is detected after a s.c. tumor cells injection into the right flank of SCID mice. B, tumor sizes at experimental end points. There is a significant difference in the size of dormant tumors (gray columns) compared with fast-growing tumor cell lines (red columns). Dormant tumors at these time points were undetectable by gross examination (size values are zero). Each column represents one tumor. C, experimental strategy for the identification of the consensus gene expression signature of dormant tumors. Total RNA from each cell line was extracted and hybridized to genome-wide <t>microarrays.</t> Gene expression in every dormant tumor cell line (gray; D) was compared with that from the angiogenic fast-growing cell line (red; A) of the same tumor type. Each assay was done in duplicate and therefore is represented as two columns in the heat map. The heat map includes only genes that have the same pattern of expression in all tumor types analyzed. D, the top 10 functional processes differentially regulated between dormant versus fast-growing tumors. Data analysis of differentially regulated genes, in dormant versus fast-growing tumor cells, indicates the most significant enrichment for genes related to the regulation of angiogenesis process. Bars represent log P values for the probability of enrichment for a gene ontology process arising by chance. Bars are colored based on the direction of gene regulation: red, up-regulated in dormant tumors; blue, up-regulated in fast-growing tumors.
51k Human Unigene Iii Cdna Microarrays, supplied by Unigene, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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51k human unigene iii cdna microarrays - by Bioz Stars, 2026-09
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Figure 1. Characterization of the experimental model. A, left, schematic presentation of the experimental model. Pairs of fast-growing or dormant tumor cell lines were generated from various tumor types. Whereas fast-growing tumor cells (red) generate tumors that expand rapidly, injection of dormant tumor cells (gray) resulted in occult lesions that were difficult to be detected by gross examination. Bar, 1 mm. The pictures are of tumors injected s.c. on the right flank of SCID mice. The top picture is of dormant glioblastoma, 111 d after the injection of the tumor cells. The bottom picture is of an angiogenic, fast-growing osteosarcoma, 48 d after the injection of the tumor cells. Right, schematic presentation of the in vivo tumor growth patterns of the human tumor models used. Red lines, growth of tumors generated from the fast-growing tumor cell lines; gray lines, tumors generated from the dormant tumor cell lines. These lines represent the earliest time point at which a tumor is detected after a s.c. tumor cells injection into the right flank of SCID mice. B, tumor sizes at experimental end points. There is a significant difference in the size of dormant tumors (gray columns) compared with fast-growing tumor cell lines (red columns). Dormant tumors at these time points were undetectable by gross examination (size values are zero). Each column represents one tumor. C, experimental strategy for the identification of the consensus gene expression signature of dormant tumors. Total RNA from each cell line was extracted and hybridized to genome-wide microarrays. Gene expression in every dormant tumor cell line (gray; D) was compared with that from the angiogenic fast-growing cell line (red; A) of the same tumor type. Each assay was done in duplicate and therefore is represented as two columns in the heat map. The heat map includes only genes that have the same pattern of expression in all tumor types analyzed. D, the top 10 functional processes differentially regulated between dormant versus fast-growing tumors. Data analysis of differentially regulated genes, in dormant versus fast-growing tumor cells, indicates the most significant enrichment for genes related to the regulation of angiogenesis process. Bars represent log P values for the probability of enrichment for a gene ontology process arising by chance. Bars are colored based on the direction of gene regulation: red, up-regulated in dormant tumors; blue, up-regulated in fast-growing tumors.

Journal: Cancer Research

Article Title: Transcriptional Switch of Dormant Tumors to Fast-Growing Angiogenic Phenotype

doi: 10.1158/0008-5472.can-08-2590

Figure Lengend Snippet: Figure 1. Characterization of the experimental model. A, left, schematic presentation of the experimental model. Pairs of fast-growing or dormant tumor cell lines were generated from various tumor types. Whereas fast-growing tumor cells (red) generate tumors that expand rapidly, injection of dormant tumor cells (gray) resulted in occult lesions that were difficult to be detected by gross examination. Bar, 1 mm. The pictures are of tumors injected s.c. on the right flank of SCID mice. The top picture is of dormant glioblastoma, 111 d after the injection of the tumor cells. The bottom picture is of an angiogenic, fast-growing osteosarcoma, 48 d after the injection of the tumor cells. Right, schematic presentation of the in vivo tumor growth patterns of the human tumor models used. Red lines, growth of tumors generated from the fast-growing tumor cell lines; gray lines, tumors generated from the dormant tumor cell lines. These lines represent the earliest time point at which a tumor is detected after a s.c. tumor cells injection into the right flank of SCID mice. B, tumor sizes at experimental end points. There is a significant difference in the size of dormant tumors (gray columns) compared with fast-growing tumor cell lines (red columns). Dormant tumors at these time points were undetectable by gross examination (size values are zero). Each column represents one tumor. C, experimental strategy for the identification of the consensus gene expression signature of dormant tumors. Total RNA from each cell line was extracted and hybridized to genome-wide microarrays. Gene expression in every dormant tumor cell line (gray; D) was compared with that from the angiogenic fast-growing cell line (red; A) of the same tumor type. Each assay was done in duplicate and therefore is represented as two columns in the heat map. The heat map includes only genes that have the same pattern of expression in all tumor types analyzed. D, the top 10 functional processes differentially regulated between dormant versus fast-growing tumors. Data analysis of differentially regulated genes, in dormant versus fast-growing tumor cells, indicates the most significant enrichment for genes related to the regulation of angiogenesis process. Bars represent log P values for the probability of enrichment for a gene ontology process arising by chance. Bars are colored based on the direction of gene regulation: red, up-regulated in dormant tumors; blue, up-regulated in fast-growing tumors.

Article Snippet: Genome-wide expression profiling was done using 51K Human Unigene III cDNA microarrays.

Techniques: Generated, Injection, In Vivo, Gene Expression, Genome Wide, Expressing, Functional Assay