Ontology highlight
ABSTRACT:
PROVIDER: PRJEB42181 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In order to benchmark the reproducibility of Affymetrix Genome-Wide Human SNP Array 6.0 for detecting copy-number alterations, we performed replicate hybridizations of 3 tumor cell lines and 2 paired normal cell lines obtained from the American Type Culture Collection (ATCC). We calculated copy numbers at each SNP probeset by a custom copy-number pipeline (PMID: 18772890). For each cell line, copy number data from replicate arrays are supplied in the accompanying matrix files. For each SNP probeset, we calculated the median copy number across replicate arrays. We compared the copy-number alterations detected by Circular Binary Segmentation segmentation of these arrays with statistical analyses of short sequence reads obtained from the Illumina/Solexa 1G GenomeAnalyzer. Shotgun sequencing results can be found in the NCBI Short Read Archive, accession number SRP000246 Keywords: disease state analysis
2008-11-14 | GSE13372 | GEO
Project description:In order to benchmark the reproducibility of Affymetrix 238K Sty arrays for detecting copy-number alterations. We performed replicate hybridizations of 3 tumor cell lines and 2 paired normal cell lines obtained from the American Type Culture Collection (ATCC). We calculated copy numbers at each SNP probeset by array pre-processing with the GISTIC algorithm (PMID: 18077431). For each SNP probeset, we calculated the median copy number across replicate arrays. The median copy number profile for each tumor cell line was segmented with the GLAD algorithm (PMID: 15381628) to partition the genome into regions of constant copy number. We compared the copy-number alterations detected by GLAD segmentation of these arrays with statistical analyses of short sequence reads obtained from the Illumina/Solexa 1G GenomeAnalyzer. Shotgun sequencing results can be found in the NCBI Short Read Archive, accession number SRP000246. Keywords: disease state analysis
2008-11-14 | GSE12019 | GEO
Project description:The aim of this study was to elucidate the potential use of microarray technology, developed in model species, in related, yet phenotypically distinct, species where few or no information are available. Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species we employed the first available peach oligonucleotide microarray (µPEACH 1.0) for studying the transcrptomic profile during apricot fruit development (Prunus armeniaca L., cv. 'Goldrich'). Fruit material was harvested at three distinct stages, corresponding to immature-green stage (6 weeks before fully-ripe stage), mature-firm-ripe stage (change of peel color, 1 week before fully-ripe stage) and at fully-ripe stage and designated as S1, S2 and S3 stages, respectively. Apricot targets cDNA, when applied the µPEACH1.0, were showing significant hybridization with an average of 43% of spotted targets validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit during development and ripening. Microarray analysis carried out on immature and ripe peach and apricot fruit separately pointed out that 70% of genes differentially expressed was detectable the same pattern of expression in both species. This result indicates that the transcriptome of immature and ripe fruit are quite similar in apricot and peach, but also highlighted the presence of transcript changes specie-specific. When μPEACH1.0 was used to profile apricot developing fruit were identified 400 and 74 genes differetially expressed during the transition from S1 to S2 stage and from S2 to S3 stage, respectively. Intriguingly, a considerable number of auxin action regulators (AUX/IAA) and of genes coding heat shock proteins (hsp) were highly up-regulated at the onset and late of ripening phase, respectively.The comparison between the expression profiles of these apricot genes and their peach hortologues showed a similar pattern for AUX/IAA and quite different for hsps. This result suggests a similar role for AUX/IAA in both species and a more important involvement for hsps in the apricot fruit ripening.
2011-01-12 | GSE19828 | GEO
Project description:Pioneering studies (PXD014844) have identified many interesting molecules in tick saliva by LC-MS/MS proteomics, but the protein databases used to assign mass spectra were based on short Illumina reads of the Amblyomma americanum transcriptome and may not have captured the diversity and complexity of longer transcripts. Here we apply long-read Pacific Bioscience technologies to complement the previously reported short-read Illumina transcriptome-based proteome in an effort to increase spectrum assignments. Our dataset reveals a small increase in assignable spectra to supplement the previously released short-read transcriptome-based proteome.
2022-05-31 | PXD033870 | Pride
Project description:Pioneering studies (PXD014844) have identified many interesting molecules by LC-MS/MS proteomics, but the protein databases used to assign mass spectra were based on short Illumina reads of the Amblyomma americanum transcriptome and may not have captured the diversity and complexity of longer transcripts. Here we apply long-read Pacific Bioscience technologies to complement the previously reported short-read Illumina transcriptome-based proteome in an effort to increase spectrum assignments. Our dataset reveals a small increase in assignable spectra to supplement previously released short-read transcriptome-based proteome.
2020-01-23 | PXD014844 | Pride