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Displaying 7 of 7 results for "MUC22"
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  1. Targeted sequencing of 4.8Mb MHC haplotypes from HLA-homozygous cell lines. : Complete MHC haplotype sequences BioProject

    ID: PRJEB6763

    Keywords: Genome sequencing

    Access Type: download

    dataset.description: ected diversity in other MHC genes, an example is MUC22, which encodes a lung mucin and exhibits more coding sequence alleles than any HLA class I or II gene studied here. More than 60% of the coding sequence alleles analyzed were previously uncharacterized. We have created a substantial database of robust reference MHC haplotype sequences that will enable future population scale studies of this complicated and clinically important region of the human genome....
  2. Site-specific O-Glycosylation Analysis of Human Blood Plasma Proteins OmicsDI

    ID: MSV000079141

    Date Released:

    Description: 31 O-glycosylation sites and regions belonging to 22 proteins were identified. The majority of these proteins were acute-phase proteins. Strikingly, also 11 novel O-glycosylation sites and regions were identified. In total 23 O-glycosylation sites could be pinpointed. Interestingly, the use of Proteinase K proved to be particularly beneficial in this context. The identified O-glycan compositions most probably correspond to mono- and disialylated core-1 mucin-type O-glycans (T-antigen)....

  3. Whole genome expression array profiling highlights differences in mucosal defense genes in Barrett's esophagus and esophageal adenocarcinoma ArrayExpress

    ID: E-GEOD-28302

    Description: hole-genome expression profiling studies keratin, mucin, annexin and trefoil factor gene families are the most frequently represented gene families. Eleven genes identified here are also represented in at least 3 other profiling studies. We used these genes to discriminate squamous, BE and EAC within the two largest cohorts using a support vector machine leave one out cross validation analysis. While this method was satisfactory for discriminating squamous and BE, it demonstrates the need for more detailed investigations into profiling changes within BE leading to the progression towards EAC. A comparison of three esophageal biopsy groups from separate individuals: normal squamous (n=9), Barrett's esophagus without dysplasia (n=22) & adenocarcinoma (n=23). Adenocarcinoma samples overlap with members of DNA copy number analysis GEO series GSE10506 such that, in each case genomic DNA and total RNA were extracted from the same biopsy. The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID...

  4. Whole genome expression array profiling highlights differences in mucosal defense genes in Barrett's esophagus and esophageal adenocarcinoma. BioProject

    ID: PRJNA139491

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: hole-genome expression profiling studies keratin, mucin, annexin and trefoil factor gene families are the most frequently represented gene families. Eleven genes identified here are also represented in at least 3 other profiling studies. We used these genes to discriminate squamous, BE and EAC within the two largest cohorts using a support vector machine leave one out cross validation analysis. While this method was satisfactory for discriminating squamous and BE, it demonstrates the need for more detailed investigations into profiling changes within BE leading to the progression towards EAC. Overall design: A comparison of three esophageal biopsy groups from separate individuals: normal squamous (n=9), Barrett's esophagus without dysplasia (n=22) & adenocarcinoma (n=23). Adenocarcinoma samples overlap with members of DNA copy number analysis GEO series GSE10506 such that, in each case genomic DNA and total RNA were extracted from the same biopsy. The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID...
  5. MicroRNA transcriptional regulation in lung cancer ArrayExpress

    ID: E-GEOD-42998

    Description: d and hybridized on Agilent human whole genome V2 22 K microarray chip. qRT-PCR was conducted to validate our microarray data. MicroRNA expression was detected and quantified using the TaqMan Low Density Arrays. Predicted miRNA-mRNA interactions were taken from miRanda, miRWalk and TargetScan. After processing data, changes in 56 mRNAs as well as in 9 miRNAs were detected between SCC and adenocarcinoma. Nearly 20% of overall deregulated genes were targeted by at least one of the 9 miRNAs (miR-149, miR-205, miR-375, miR-378, miR-422a, miR-483-5p, miR-494, miR-601 and miR-708) differentially expressed between SCC and adenocarcinoma. Genes predicted (CEACAM6, CGN, CLDN3, ABCC3, MLPH, ACSL5, TMEM45B, MUC1) to be targeted by several miRNAs...

  6. Whole genome expression array profiling highlights differences in mucosal defense genes in Barrett's esophagus and esophageal adenocarcinoma. OmicsDI

    ID: E-GEOD-28302

    Date Released: 08-22-2011

    Description: hole-genome expression profiling studies keratin, mucin, annexin and trefoil factor gene families are the most frequently represented gene families. Eleven genes identified here are also represented in at least 3 other profiling studies. We used these genes to discriminate squamous, BE and EAC within the two largest cohorts using a support vector machine leave one out cross validation analysis. While this method was satisfactory for discriminating squamous and BE, it demonstrates the need for more detailed investigations into profiling changes within BE leading to the progression towards EAC. A comparison of three esophageal biopsy groups from separate individuals: normal squamous (n=9), Barrett's esophagus without dysplasia (n=22) & adenocarcinoma (n=23). Adenocarcinoma samples overlap with members of DNA copy number analysis GEO series GSE10506 such that, in each case genomic DNA and total RNA were extracted from the same biopsy. The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID...

  7. MicroRNA transcriptional regulation in lung cancer BioProject

    ID: PRJNA184033

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: d and hybridized on Agilent human whole genome V2 22 K microarray chip. qRT-PCR was conducted to validate our microarray data. MicroRNA expression was detected and quantified using the TaqMan Low Density Arrays. Predicted miRNA-mRNA interactions were taken from miRanda, miRWalk and TargetScan. After processing data, changes in 56 mRNAs as well as in 9 miRNAs were detected between SCC and adenocarcinoma. Nearly 20% of overall deregulated genes were targeted by at least one of the 9 miRNAs (miR-149, miR-205, miR-375, miR-378, miR-422a, miR-483-5p, miR-494, miR-601 and miR-708) differentially expressed between SCC and adenocarcinoma. Genes predicted (CEACAM6, CGN, CLDN3, ABCC3, MLPH, ACSL5, TMEM45B, MUC1) to be targeted by several miRNAs...

Displaying 7 of 7 results for "MUC22"