Systematic variation in gene expression patterns in human cancer cell lines
about
SVD identifies transcript length distribution functions from DNA microarray data and reveals evolutionary forces globally affecting GBM metabolismWeighted change-point method for detecting differential gene expression in breast cancer microarray dataIdentification of common differentially expressed genes in urinary bladder cancerFrom bytes to bedside: data integration and computational biology for translational cancer researchIdentification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profilingComparative analysis and integrative classification of NCI60 cell lines and primary tumors using gene expression profiling dataThe interrelationship between DRIM gene expression and cytogenetic and phenotypic characteristics in human breast tumor cell linesRERG is a novel ras-related, estrogen-regulated and growth-inhibitory gene in breast cancerCD36-mediated activation of endothelial cell apoptosis by an N-terminal recombinant fragment of thrombospondin-2 inhibits breast cancer growth and metastasis in vivoA novel cervical cancer suppressor 3 (CCS-3) interacts with the BTB domain of PLZF and inhibits the cell growth by inducing apoptosisHuman PARM-1 is a novel mucin-like, androgen-regulated gene exhibiting proliferative effects in prostate cancer cellsPhosphorylation and stabilization of HURP by Aurora-A: implication of HURP as a transforming target of Aurora-AErbB2-mediated Src and signal transducer and activator of transcription 3 activation leads to transcriptional up-regulation of p21Cip1 and chemoresistance in breast cancer cellsRegulation of NDR2 protein kinase by multi-site phosphorylation and the S100B calcium-binding proteinLeupaxin is similar to paxillin in focal adhesion targeting and tyrosine phosphorylation but has distinct roles in cell adhesion and spreading.Enzyme activity profiles of the secreted and membrane proteome that depict cancer cell invasiveness.Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genesHuman NDR kinases are rapidly activated by MOB proteins through recruitment to the plasma membrane and phosphorylationDistinct RNA motifs are important for coactivation of steroid hormone receptors by steroid receptor RNA activator (SRA).Isolation of a novel human gene, MARKL1, homologous to MARK3 and its involvement in hepatocellular carcinogenesisGene expression patterns in ovarian carcinomasGene expression profiling reveals stromal genes expressed in common between Barrett's esophagus and adenocarcinomaThe miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2Integrin alpha6beta4 controls the expression of genes associated with cell motility, invasion, and metastasis, including S100A4/metastasinDOT1L/KMT4 recruitment and H3K79 methylation are ubiquitously coupled with gene transcription in mammalian cellsGATA-3 links tumor differentiation and dissemination in a luminal breast cancer modelLet-7 expression defines two differentiation stages of cancerHeat shock protein 10 and signal transduction: a "capsula eburnea" of carcinogenesis?Discovery of novel splice forms and functional analysis of cancer-specific alternative splicing in human expressed sequencesMicroarrays and molecular markers for tumor classificationSupervised harvesting of expression treesCLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles.Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression dataMelanoma-restricted genesComparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cellsMulticlass classification of microarray data with repeated measurements: application to cancerAn entropy-based gene selection method for cancer classification using microarray data.Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databasesThe influence of tumor size and environment on gene expression in commonly used human tumor linesPolarized monocyte response to cytokine stimulation
P2860
Q17577870-01A3694B-ABBD-42C4-8C2A-E4B9DD17E308Q1881253-F79CCB59-9103-45B8-8E37-DEF718489861Q28334584-F01D09D1-8331-4E3C-8462-573DFC894897Q28334700-1B145FB0-85A1-407F-AB49-CA1721199847Q28519412-783BF1F7-F8E0-4F49-B53B-579B0EC28A13Q4649475-377F23EA-F55D-4858-8AB7-8A1D7E11CA6DQ50432263-ADAC2BFD-72B8-4ECD-AAEA-2EB833776182Q50952937-0C6EB022-6906-42F7-9C9B-BC81F0970E6FQ51838638-EF26D400-409D-4FD4-BED7-B2B8F9B8FD49Q5206280-387194CD-6427-434E-935F-809987523386Q54604950-48F03BEC-7114-4FC3-A5CA-9A170E740CF4Q54606041-32209C16-C0EA-4D00-A8C1-636E78DEC55AQ54608371-2939939A-D2DB-4412-B145-10F8D16D3E94Q54798471-5E46C220-5EDA-432C-AE5E-2EBBFB3DC3B7Q54808374-0484A846-E377-4381-B4FD-6AC4B971E0A3Q54809015-9E855229-E796-4AFF-BC28-6C4A10352EAFQ54814074-4FF23350-6CAD-4653-91B1-673B16166B5CQ54832197-F3442EBE-1EE8-4C40-A9AD-68ADA620BF89Q54881683-A28B4EA8-99D8-4FC4-8A1A-D55D6E27C71DQ54882006-ACB5FCD3-F07C-4B43-896C-F20C9095A5DFQ54889812-FCC15588-CCE2-4E50-8E3A-225BF6A3A314Q54890155-94F4FAEB-83F2-4441-AD3D-AF1E62DC19B8Q54890156-9D3CB6C3-767B-44EA-B2A4-806A8E6523BBQ54895774-E4A72D1F-12ED-4FD2-9C6A-B761D125648FQ54897382-1C89FDF5-5740-4043-BC34-FB01D914AC36Q54900052-89C85D89-2E5F-4A45-864B-033CEE09E9E2Q54902908-5284AA3C-D82A-4E01-8644-304CFDE855D2Q54903981-5707E7A9-4CF4-4127-BF13-8025A34263C2Q54904649-D0D987CE-6656-4770-A3B4-3F2CA39A4BE3Q54906365-A68C1200-8443-468A-B953-ABBD49F7805FQ54907717-E111BC4F-B8A2-4A2C-8977-5F9CCD508C65Q54907948-A5041122-B7EC-4A53-AC09-B3068774C8DCQ54907958-448EC4FC-E5F6-4645-AB98-EDAB63169BEBQ54908034-12109BF0-C0D9-4B7D-B4D3-7ED7FAD1B620Q54908057-A0E3D50A-CF85-4B6A-A3DB-03B07ADFDD69Q54908074-D5E7248E-CED3-48DB-8830-2C32FCF8C287Q54937005-FD577E7C-707A-4B8C-8209-DE6BFF11EAFFQ54937010-38FA56DE-F319-46E4-A05D-0C402041F8CFQ54937011-F51FB666-EFFA-4B31-9D17-3363148A6994Q54937014-109536C6-6B85-4863-AEAD-C3D2C7610AA3
P1343
Q21132447-A2AB966E-73FC-4B6A-92C5-0077BF4F7C9EQ21134908-DF3DB225-A8F0-40E3-B1F7-23F555BF695BQ21135503-352A82A8-6ABE-4600-B736-FB9757A6D959Q21145672-128C4C5B-EF18-4FCB-98CF-5600CA487837Q21245740-A9BB7C89-BC64-4EA8-B443-903D2FC7194EQ21266587-FE360367-50E9-488F-A0C1-27843EFC587BQ21266622-7D15F2AF-08A0-4580-9D9B-F903A5DC9CF3Q24291637-6A5BC0FC-3075-4C8C-85BE-A4E180263774Q24296427-EAACBCE9-37B4-4056-A4EC-2A5FEBCD4F35Q24296602-EB2B21CC-A3BD-4F25-9140-6AABA9D99813Q24301053-9B21EA3F-B22B-4F6E-BA26-C05542314FEFQ24306319-FD86D722-BB28-445A-8189-6785485D6DEDQ24316918-7E0D7812-DF7B-4E6D-9F88-0D8DD76D6253Q24318869-3CE633D5-2839-4C94-9289-35CECB9C5D99Q24319896-DF620C94-7E08-44BC-A5E4-01FA8795B089Q24533487-CEA7A6FB-62E7-4E66-91CF-F41F41BA8035Q24534395-AF6E708D-E09B-4D68-AC3D-A9FCAD36E854Q24535404-55F64757-2A2C-42BA-A336-F36C060F6DB4Q24541490-81E91E93-D55B-47C0-AC73-7590DBB9DE3AQ24551019-57BC7AC9-3E22-4AAE-BF98-47E8B98C1622Q24644996-5667D335-4C77-45D6-BF48-2C5C8263117BQ24646856-E33D05FE-8B54-4B6D-87CC-1443E5328824Q24646996-11DA1347-BCE6-477E-A4C7-6B193614F45CQ24652731-5FE6E8B9-2DEB-40B6-9CE9-25D895BFA8BBQ24655388-D4BA1785-9349-47D3-B035-DA87633BAA2BQ24657350-83F7A5CD-356F-4EC8-B8ED-EEE2939F97D5Q24675225-112A7FB2-07B2-4C15-9606-B9972C0A2868Q24679824-9E5F90CC-D919-4217-ADB9-0D18E301C86EQ24682430-A05D0DF8-4460-4DD6-BC0D-56B064FA4A9EQ24791738-18BF60FE-E280-4416-85DB-B5DB0CA945DBQ24791946-24B678E8-04D6-4168-AF91-59A5A787FC0BQ24792425-61E86AB1-0D9F-4B5D-B927-5250F756C7C9Q24793372-668EA7CA-FE66-4783-A5BE-7ACE6116E3BDQ24793788-8A654D33-359F-48EA-84A8-03E948A0B049Q24793807-1EAA6FA7-791A-464B-858D-375769995AE3Q24793866-0D2378F9-AD0C-4C9B-8681-0988C32C197FQ24794204-288094D1-B91C-4CD3-AB71-C96664F55E32Q24794759-3D6C4327-D10C-448D-8970-3E2A7434436AQ24795105-7CE844FB-1576-4A6B-80FF-F71C957768DFQ24796331-318522AB-EF6A-4583-B5E3-474CDE31C2F1
P2860
Systematic variation in gene expression patterns in human cancer cell lines
description
2000 nî lūn-bûn
@nan
2000 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի մարտին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Systematic variation in gene expression patterns in human cancer cell lines
@ast
Systematic variation in gene expression patterns in human cancer cell lines
@en
Systematic variation in gene expression patterns in human cancer cell lines
@nl
type
label
Systematic variation in gene expression patterns in human cancer cell lines
@ast
Systematic variation in gene expression patterns in human cancer cell lines
@en
Systematic variation in gene expression patterns in human cancer cell lines
@nl
prefLabel
Systematic variation in gene expression patterns in human cancer cell lines
@ast
Systematic variation in gene expression patterns in human cancer cell lines
@en
Systematic variation in gene expression patterns in human cancer cell lines
@nl
P2093
P2860
P4510
P50
P3181
P356
P1433
P1476
Systematic variation in gene expression patterns in human cancer cell lines
@en
P2093
D Lashkari
J N Weinstein
M Van de Rijn
P Spellman
P2860
P2888
P304
P3181
P356
10.1038/73432
P407
P50
P577
2000-03-01T00:00:00Z
P5875
P6179
1024393583