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Displaying 14 of 14 results for "ZMYM6"
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  1. ZMYM2_PONAB UniProt:Swiss-Prot

    ID: Q5RDJ2

    Description: Zinc finger MYM-type protein 2 MYM-type

  2. MYM medium Figshare

    ID: doi:10.6084/M9.FIGSHARE.1250928

    Release Date: 11-25-2014

    Description:

  3. MYM medium Figshare

    ID: doi:10.6084/M9.FIGSHARE.1250928.V2

    Release Date: 01-19-2016

    Description:

  4. MYM medium Figshare

    ID: doi:10.6084/M9.FIGSHARE.1250928.V1

    Release Date: 01-19-2016

    Description:

  5. Solution structure of TRASH domain of zinc finger MYM-type protein 5 PDB

    ID: PDB:2DAS

    Description: Zinc finger MYM-type protein 5

  6. Concurrent Gene Signatures for Han Chinese Breast Cancers [Affymetrix] ArrayExpress

    ID: E-GEOD-48390

    Description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....

  7. Concurrent Gene Signatures for Han Chinese Breast Cancers [Agilent] ArrayExpress

    ID: E-GEOD-48297

    Description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....

  8. Concurrent Gene Signatures for Han Chinese Breast Cancers [Agilent] BioProject

    ID: PRJNA209984

    Keywords: Variation

    Access Type: download

    dataset.description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. Overall design: We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....
  9. Concurrent Gene Signatures for Han Chinese Breast Cancers [Affymetrix] BioProject

    ID: PRJNA209981

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. Overall design: We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....
  10. Concurrent Gene Signatures for Han Chinese Breast Cancers [Affymetrix] OmicsDI

    ID: E-GEOD-48390

    Date Released: 05-13-2014

    Description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....

  11. Concurrent Gene Signatures for Han Chinese Breast Cancers [Agilent] OmicsDI

    ID: E-GEOD-48297

    Date Released: 06-03-2014

    Description: ent from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer. We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival....

  12. Transcription profiling of Streptomyces coelicolor M570 ppGpp-deficient mutant and the parental strain M600 ArrayExpress

    ID: E-MEXP-1098

    Description: Comparison of the Streptomyces coelicolor relA mutant strain M570 with the parental strain M600 during growth on MYM agar.

  13. Transcription profiling of Streptomyces coelicolor M570 ppGpp-deficient mutant and the parental strain M600 OmicsDI

    ID: E-MEXP-1098

    Date Released: 06-03-2014

    Description: Comparison of the Streptomyces coelicolor relA mutant strain M570 with the parental strain M600 during growth on MYM agar.

  14. Solution structure of the FCS zinc finger domain of human LMBL2 PDB

    ID: PDB:2W0T

    Description: LETHAL(3)MALIGNANT BRAIN TUMOR-LIKE 2 PROTEIN


Displaying 14 of 14 results for "ZMYM6"