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Displaying 11 of 11 results for "CCDC14"
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  1. SAM14_RAT UniProt:Swiss-Prot

    ID: Q5BJU3

    Description: Sterile alpha motif domain-containing protein 14 SAM Ser-rich Phosphoserine Phosphoserine Phosphoserine Phosphose...

  2. C3H14_ARATH UniProt:Swiss-Prot

    ID: Q9C9N3

    Description: Zinc finger CCCH domain-containing protein 14 C3H1-type 1 C3H1-type 2 Poly-Ser Poly-Ser Poly-Met...

  3. CAR14_MOUSE UniProt:Swiss-Prot

    ID: Q99KF0

    Description: Caspase recruitment domain-containing protein 14 CARD PDZ Guanylate kinase-like Phosphoserine (in Ref. 2; AAH0469...

  4. THS7B_HUMAN UniProt:Swiss-Prot

    ID: Q9C0I4

    Description: Thrombospondin type-1 domain-containing protein 7B Extracellular Helical Cytoplasmic TSP type-1 1 TSP type-1 2 TSP type-1 3 TSP type-1...

  5. THS7A_HUMAN UniProt:Swiss-Prot

    ID: Q9UPZ6

    Description: Thrombospondin type-1 domain-containing protein 7A Extracellular Helical Cytoplasmic TSP type-1 1 TSP type-1 2 TSP type-1 3 TSP type-1...

  6. Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content ArrayExpress

    ID: E-GEOD-58551

    Description: uding SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken. In total, 475 birds (203 and 272 individuals from the lean and fat lines, respectively) from the 11th generation population of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used. These 475 birds were genotyped by the chicken 60k SNP chip and PennCNV method were used to perform genome-wide CNV detection....

  7. Integrated genomic and transcriptional profiling yields putative marker genes for cervical cancer ArrayExpress

    ID: E-GEOD-6473

    Description: inomas highlighted 7 genes (i.e. FLJ21291, DTX3L, CCDC14, MCM2, PIK3R4, ATP2C1 and SLC25A36), which were identified by differential gene expression analysis and were located within the chromosomal regions identified by DIGMAP and/or ACE-it as well. Further investigations of these promising marker genes in warranted. Keywords: microarray analysis, array CGH, cervical cancer For microarray mRNA expression analysis 10 SCCs, 5 AdCAs and 6 normal epithelial controls were used. Normal cervical controls consisted of 1 pool of 3 normal cervices distant from tumour, 1 pool of 4 normal ectocervical smears and 1 pool of 5 normal endocervical smears. To expand our number of normal squamous epithelial controls, we included expression profiles of 3 uvulas of non-cancer patients who underwent uvulopalatopharyngoplasty. In addition, we hybridised RNA isolated from 2 different biopsies of the same SCC (SCC12 and SCC13) as a biological replicate. The pool of 4 normal ectocervical smears was hybridised twice as a technical replicate to determine technical variation. Genomic profiling of the same 10 SCCs and 5 AdCAs was done using array CGH (Wilting et al, J Pathol 2006, volume 209, p 220-30)....

  8. Integrated genomic and transcriptional profiling yields putative marker genes for cervical cancer BioProject

    ID: PRJNA98709

    Keywords: Other

    Access Type: download

    dataset.description: inomas highlighted 7 genes (i.e. FLJ21291, DTX3L, CCDC14, MCM2, PIK3R4, ATP2C1 and SLC25A36), which were identified by differential gene expression analysis and were located within the chromosomal regions identified by DIGMAP and/or ACE-it as well. Further investigations of these promising marker genes in warranted. Keywords: microarray analysis, array CGH, cervical cancer Overall design: For microarray mRNA expression analysis 10 SCCs, 5 AdCAs and 6 normal epithelial controls were used. Normal cervical controls consisted of 1 pool of 3 normal cervices distant from tumour, 1 pool of 4 normal ectocervical smears and 1 pool of 5 normal endocervical smears. To expand our number of normal squamous epithelial controls, we included expression profiles of 3 uvulas of non-cancer patients who underwent uvulopalatopharyngoplasty. In addition, we hybridised RNA isolated from 2 different biopsies of the same SCC (SCC12 and SCC13) as a biological replicate. The pool of 4 normal ectocervical smears was hybridised twice as a technical replicate to determine technical variation. Genomic profiling of the same 10 SCCs and 5 AdCAs was done using array CGH (Wilting et al, J Pathol 2006, volume 209, p 220-30)....
  9. Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content BioProject

    ID: PRJNA252858

    Keywords: Variation

    Access Type: download

    dataset.description: uding SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken. Overall design: In total, 475 birds (203 and 272 individuals from the lean and fat lines, respectively) from the 11th generation population of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used. These 475 birds were genotyped by the chicken 60k SNP chip and PennCNV method were used to perform genome-wide CNV detection....
  10. Integrated genomic and transcriptional profiling yields putative marker genes for cervical cancer OmicsDI

    ID: E-GEOD-6473

    Date Released: 05-02-2014

    Description: inomas highlighted 7 genes (i.e. FLJ21291, DTX3L, CCDC14, MCM2, PIK3R4, ATP2C1 and SLC25A36), which were identified by differential gene expression analysis and were located within the chromosomal regions identified by DIGMAP and/or ACE-it as well. Further investigations of these promising marker genes in warranted. Keywords: microarray analysis, array CGH, cervical cancer For microarray mRNA expression analysis 10 SCCs, 5 AdCAs and 6 normal epithelial controls were used. Normal cervical controls consisted of 1 pool of 3 normal cervices distant from tumour, 1 pool of 4 normal ectocervical smears and 1 pool of 5 normal endocervical smears. To expand our number of normal squamous epithelial controls, we included expression profiles of 3 uvulas of non-cancer patients who underwent uvulopalatopharyngoplasty. In addition, we hybridised RNA isolated from 2 different biopsies of the same SCC (SCC12 and SCC13) as a biological replicate. The pool of 4 normal ectocervical smears was hybridised twice as a technical replicate to determine technical variation. Genomic profiling of the same 10 SCCs and 5 AdCAs was done using array CGH (Wilting et al, J Pathol 2006, volume 209, p 220-30)....

  11. Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content OmicsDI

    ID: E-GEOD-58551

    Date Released: 05-23-2015

    Description: uding SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken. In total, 475 birds (203 and 272 individuals from the lean and fat lines, respectively) from the 11th generation population of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used. These 475 birds were genotyped by the chicken 60k SNP chip and PennCNV method were used to perform genome-wide CNV detection....


Displaying 11 of 11 results for "CCDC14"