High-resolution analysis of gene copy number alterations in human prostate cancer using CGH on cDNA microarrays: impact of copy number on gene expression.
about
Identification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profilingIdentification of amplified and highly expressed genes in amplicons of the T-cell line huT78 detected by cDNA microarray CGHIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialThe consequences of chromosomal aneuploidy on the transcriptome of cancer cellsUnderstanding the role of stromal fibroblasts in cancer progressionFISH analysis of 107 prostate cancers shows that PTEN genomic deletion is associated with poor clinical outcome.A review of the past, present, and future directions of neoplasiaComing of Age in the Life ofNeoplasia: Where We Have Been and Where We Are GoingGenomic alterations indicate tumor origin and varied metastatic potential of disseminated cells from prostate cancer patientsThe use of whole genome amplification to study chromosomal changes in prostate cancer: insights into genome-wide signature of preneoplasia associated with cancer progression.Frequent occurrence of uniparental disomy in colorectal cancer.Detection of novel amplicons in prostate cancer by comprehensive genomic profiling of prostate cancer cell lines using oligonucleotide-based arrayCGH.Advanced analysis and visualization of gene copy number and expression dataGenome-wide gene copy number and expression analysis of primary gastric tumors and gastric cancer cell linesRole of multi-hnRNP nuclear complex in regulation of tumor suppressor ANXA7 in prostate cancer cells.SLC45A3-ELK4 is a novel and frequent erythroblast transformation-specific fusion transcript in prostate cancerGenomic alterations of primary tumor and blood in invasive ductal carcinoma of breastProteomic characterization of paired non-malignant and malignant African-American prostate epithelial cell lines distinguishes them by structural proteins.A model-based circular binary segmentation algorithm for the analysis of array CGH dataReprogramming transcription by distinct classes of enhancers functionally defined by eRNATAGCNA: a method to identify significant consensus events of copy number alterations in cancer.Promoter CpG hypermethylation and downregulation of DICE1 expression in prostate cancer.Chromosomal imbalances in oral squamous cell carcinoma: examination of 31 cell lines and review of the literature.Comparison of chromosomal and array-based comparative genomic hybridization for the detection of genomic imbalances in primary prostate carcinomas.Amplification of the UQCRFS1 Gene in Gastric Cancers.Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer.Advancement in characterization of genomic alterations for improved diagnosis, treatment and prognostics in cancer.Getting DNA copy numbers without control samples.The progress on genetic analysis of nasopharyngeal carcinoma.Aneuploidy-dependent massive deregulation of the cellular transcriptome and apparent divergence of the Wnt/beta-catenin signaling pathway in human rectal carcinomas.High-level amplification at 17q23 leads to coordinated overexpression of multiple adjacent genes in breast cancer.Genome scan study of prostate cancer in Arabs: identification of three genomic regions with multiple prostate cancer susceptibility loci in Tunisians.Integrative analysis reveals the direct and indirect interactions between DNA copy number aberrations and gene expression changes.A computational procedure to identify significant overlap of differentially expressed and genomic imbalanced regions in cancer datasets.Multi-layered cancer chromosomal instability phenotype.Genomic signatures of cancer: basis for individualized risk assessment, selective staging and therapy.Lessons from a decade of integrating cancer copy number alterations with gene expression profiles.Functional analysis of the Aurora Kinase A Ile31 allelic variant in human prostateIdentification of target genes in laryngeal squamous cell carcinoma by high-resolution copy number and gene expression microarray analyses.
P2860
Q21245740-682D46D9-0D21-48A3-B0C8-7AF76B2FEF46Q24796224-E0DEEF59-34E3-419C-A993-F39D960F4783Q26782613-A7650BD0-7373-48D3-AB7F-DBFA34938EE0Q26995532-12FE355B-3696-4E14-B2F7-6F71068392C9Q27024041-F561819D-70C9-45AA-A62F-772424547A86Q27851411-D33F54F1-EEF8-4D1C-B0E9-261C169546B8Q28389391-D009217D-03BE-41A0-B64D-E5F6AFA754B6Q28389985-E03A04BE-262D-4562-8D3E-72E9CB004A92Q28395095-9CF7027F-6EA1-4D13-A21A-7607F759478FQ30485251-A1372355-4560-4562-95DD-C972464E9642Q33238054-984180EC-6D61-428E-AC43-A64E8239CEB6Q33246807-DCDB3949-4D7B-472D-A4B5-19F66682A93CQ33294835-4D3D88A7-4CA4-475D-A6BE-1D2120BDF767Q33407941-97C17DDA-4F99-4B57-9A43-08C80FDC90EDQ33534919-CC407236-1362-49F5-B88C-9B82CC243E4FQ33535225-9A06C0FE-C620-48D1-923F-A20CEF1AAB11Q33777675-F5E6AD40-2D40-42DA-B538-AE7EB5008008Q33833204-DDE62061-E386-4B6E-A43D-8A027D2D0DD9Q33892680-16E71169-75BB-4047-A32A-5E36DEFB3ADAQ34045211-F0C54828-982D-4E55-828C-EAC9B42F875DQ34185076-157A3211-6466-4DB2-90FA-F973121D31DCQ34345632-8D5276AD-75AB-4670-96C3-64D13541BA6AQ34432780-E00E23FE-2C53-4639-ACF1-F0D0D1473731Q34581690-54DBDC5F-0C24-49AF-B5A3-4DE21866D7FFQ35039874-23FCB8A6-EDE5-4242-B815-FC6A33CAD168Q36083597-FE7533D2-D621-4BE8-BD08-16E45C667400Q36152246-EDF9F0F4-8B8B-4CE9-86ED-07508C696F53Q36344108-95E587E3-2907-479D-AE47-09637DA89956Q36440719-3522BCB7-383D-4DCE-9B67-74F5091672F4Q36445020-EFEE52F6-52F9-4E7F-A1D1-EEC90DEC94ABQ36533581-F74BD865-D256-47F6-9C15-7CBB53A03479Q36610257-2450A742-BF79-4C90-8078-1A4EEDBFA5F4Q36859140-D93D5AE0-352C-4C72-B00B-FC19C6978A0DQ37010330-A4496323-7835-4AA5-9CBA-061A4BAD848BQ37318482-91C74140-5689-45C7-9AA6-B025BE58F2F0Q37382209-AA806D9D-C48F-4E8D-84D8-51A7BA405CCAQ37863628-7720164B-3C18-42F5-AA85-AA066C216C60Q37939073-30B72F5E-70F9-4691-AB7B-7512A3A8A1BAQ38515431-F54295DA-E395-4DDA-9ADC-89C1CCDB8063Q38518433-AF90BC5C-7BDD-467B-9E7D-72B44E2BF273
P2860
High-resolution analysis of gene copy number alterations in human prostate cancer using CGH on cDNA microarrays: impact of copy number on gene expression.
description
2004 nî lūn-bûn
@nan
2004 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
High-resolution analysis of ge ...... opy number on gene expression.
@ast
High-resolution analysis of ge ...... opy number on gene expression.
@en
High-resolution analysis of ge ...... opy number on gene expression.
@nl
type
label
High-resolution analysis of ge ...... opy number on gene expression.
@ast
High-resolution analysis of ge ...... opy number on gene expression.
@en
High-resolution analysis of ge ...... opy number on gene expression.
@nl
prefLabel
High-resolution analysis of ge ...... opy number on gene expression.
@ast
High-resolution analysis of ge ...... opy number on gene expression.
@en
High-resolution analysis of ge ...... opy number on gene expression.
@nl
P2093
P2860
P356
P1433
P1476
High-resolution analysis of ge ...... opy number on gene expression.
@en
P2093
Abdel Elkahloun
Anne Kallioniemi
Maija Wolf
Minna Allinen
Olli-P Kallioniemi
Outi Monni
Pia Huusko
Ritva Karhu
Spyro Mousses
Yidong Chen
P2860
P304
P356
10.1593/NEO.03439
P577
2004-05-01T00:00:00Z