Consensus Preprocessing of GEO and ArrayExpress Normal and Diseased Lung Tissue Microarray Data
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE60486 | GEO | 2014/09/18
SECONDARY ACCESSION(S): PRJNA258392
REPOSITORIES: GEO
Similar Datasets
Project description:Microbial community analysis with DNA oligonucleotide microarrays targeting ribosomal RNA (rRNA) provides a highly parallel interrogation of nucleic acids isolated from environmental samples. High fidelity readout is essential for accurate interpretation of hybridisations. We describe the hybridisation of in vitro transcribed 16S rRNA from an uncontaminated and 2,4,6-trinitrotoluene contaminated soil to an oligonucleotide microarray containing group- and species-specific perfect match (PM) probes and their 2 corresponding mismatch (MM) probes. Thermal dissociation analysis was used to determine the specificity of each PM-MM probe set. Functional ANOVA often discriminated PM-MM probe sets when Td values (temperature at 50% probe-target dissociation) could not. Maximum discrimination for many PM and MM probes often occurred at temperatures greater than the Td. Comparison of signal intensities measured prior to dissociation analysis from hybridisations of the two soil samples revealed significant differences in domain-, group- and species-specific probes. Functional ANOVA showed significantly different dissociation curves for 11 PM probes when hybridisations from the two soil samples were compared, even though initial signal intensities for 3 of the 11 did not vary. This approach provides a highly parallel, multi-level analysis that incorporates MM probes and dissociation curves into high fidelity microarray analysis of complex environmental nucleic acid profiles. Keywords: Microbial diversity, thermal dissociation analysis
2005-10-26 | GSE3499 | GEO
Project description:Background: Genome-wide detection of single feature polymorphisms (SFP) in swine using transcriptome profiling of day 25 placental RNA by contrasting probe intensities from either Meishan or an occidental composite breed with Affymetrix porcine microarrays is presented. A linear mixed model analysis was used to identify significant breed-by-probe interactions. Results: Gene specific linear mixed models were fit to each of the log2 transformed probe intensities on these arrays, using fixed effects for breed, probe, breed-by-probe interaction, and a random effect for array. After surveying the day 25 placental transcriptome, 789 probes with a q-value ≤ 0.05 and |fold change| ≥ 2 for the breed-by-probe interaction were identified as candidates containing SFP. To address the quality of the bioinformatics approach, universal pyrosequencing assays were designed from Affymetrix exemplar sequences to independently assess polymorphisms within a subset of probes. Of those probes sampled from high-, medium-, and low-ranking categories, 20 of 27 were confirmed by pyrosequencing to contain SFPs. In most cases, the 25-mer probe sequence printed on the microarray diverged from Meishan, not occidental crosses. This analysis was used to define a set of highly reliable predicted SFPs according to their probability scores. Conclusions: By this method we detected transition and transversion single nucleotide polymorphisms, as well as insertions/deletions. These results demonstrate that this approach can identify polymorphisms between two breeds and/or lines of any species for which a short oligonucleotide array is available, and can be used to rapidly develop markers for genetic mapping and association analysis in species where high density genotyping platforms are otherwise unavailable. SNPs and INDELS discovered by this approach have been publicly deposited in NCBI’s SNP repository dbSNP. This method is an attractive bioinformatics tool for uncovering breed-by-probe interactions, for rapidly identifying expressed SNPs, for investigating potential functional correlations between gene expression and breed polymorphisms, and is robust enough to be used on any Affymetrix gene expression platform. Keywords: Transcriptional profiling of Day 25 porcine placentas
2008-02-09 | GSE10447 | GEO
Project description:Background: Genome-wide detection of single feature polymorphisms (SFP) in swine using transcriptome profiling of day 25 placental RNA by contrasting probe intensities from either Meishan or an occidental composite breed with Affymetrix porcine microarrays is presented. A linear mixed model analysis was used to identify significant breed-by-probe interactions. Results: Gene specific linear mixed models were fit to each of the log2 transformed probe intensities on these arrays, using fixed effects for breed, probe, breed-by-probe interaction, and a random effect for array. After surveying the day 25 placental transcriptome, 789 probes with a q-value ≤ 0.05 and |fold change| ≥ 2 for the breed-by-probe interaction were identified as candidates containing SFP. To address the quality of the bioinformatics approach, universal pyrosequencing assays were designed from Affymetrix exemplar sequences to independently assess polymorphisms within a subset of probes. Of those probes sampled from high-, medium-, and low-ranking categories, 20 of 27 were confirmed by pyrosequencing to contain SFPs. In most cases, the 25-mer probe sequence printed on the microarray diverged from Meishan, not occidental crosses. This analysis was used to define a set of highly reliable predicted SFPs according to their probability scores. Conclusions: By this method we detected transition and transversion single nucleotide polymorphisms, as well as insertions/deletions. These results demonstrate that this approach can identify polymorphisms between two breeds and/or lines of any species for which a short oligonucleotide array is available, and can be used to rapidly develop markers for genetic mapping and association analysis in species where high density genotyping platforms are otherwise unavailable. SNPs and INDELS discovered by this approach have been publicly deposited in NCBI’s SNP repository dbSNP. This method is an attractive bioinformatics tool for uncovering breed-by-probe interactions, for rapidly identifying expressed SNPs, for investigating potential functional correlations between gene expression and breed polymorphisms, and is robust enough to be used on any Affymetrix gene expression platform. Keywords: Transcriptional profiling of Day 25 porcine placentas
2009-02-06 | GSE10441 | GEO
Project description:Genome wide expression profiling of white blood cells in obese patients under two different diets (The American Heart Association's Diet and RESMENA diet (Zulet MA et al., Nutr Hosp. 2011 Jan-Feb;26(1):16-26. )) in order to reduce weight. The Illumina HumanHT-12 v4 Expression BeadChip Kit was used, which assayed 47,000 probes.A total of 24 RNA was purified from white blood cells using a TRIZOL RNA Isolation Protocol (Life technologies) and 500 ng of starting material were used as input for the Illumina TotalPrep Amplification Kit. Next, The Illumina GenomeStudio Gene Expression Software Module (v 1.9.0, Illumina, USA) was used to extract the signal intensities of each gene expression probe, which were then further preprocessed using the lumi package of Bioconductor in R. The preprocessing included background correction of the gene expression data, followed by log2-transformation and quantile normalization. It also automatically removes the control probes, leaving only the regular probes. We keep probes that are expressed in at least one individual according to a detection p-values of 5%. Assays containg SNPs within the probe were removed.
2019-10-30 | E-MTAB-2604 | biostudies-arrayexpress
Project description:This study aimed to model formamide-based melting for the optimization of the sensitivity and specifcity of oligonucleotide probes in dignostic high-density microarrays. Formamide melting profiles of DNA oligonucleotides were obtained with a high-density microarray targeting 16S rRNA genes of Escherichia coli and Rhodobacter sphaeroides. One or two mismatched versions of perfect match probes were included on the array to systematically analyze the effect of formamide on mismatch stability and mismatch discrimination. A thermodynamics-based mathematical model of formamide denaturation was developed to predict the formamide melting profiles with sufficient accuracy to help with oligonucleotide design in microbial ecology applications. 16S rRNA sequences with GenBank accession codes U00006 ( E. coli ) and X53853 (R. sphaeroides) were used for probe design. The following oligonucleotide probe sets were used for the systematic analysis of the effect of formamide on probe-target hybrids (parenthetic information gives set name followed by the number of probes): 22-mer perfect match probes tiling the 16S rRNA gene of E. coli (TileE, n=1521), perfect match E.coli probes of variable length between 18 and 26 mers (Length, n=1045), E. coli probes with central single mismatches (OneM, n=1563), E. coli probes with single positional mismatches (PosM, n=4092), E. coli probes with single deletion mismatches (Gap, n=248), E. coli probes with single insertion mismatches (Insertion, n=248), E. coli probes with two separate mismatches (TwoM, n=1674), E. coli probes with central tandem mismatches (Tandem, n=558), and 22-mer perfect match probes tiling the 16S rRNA gene of R. sphaeroides. Also, a probe with no match to 16S rRNA genes was used as a background control. On the array, regular probes were replicated three times and the Nonsense probe ten times. See the manuscript of Yilmaz et al. for details.
2012-06-29 | E-GEOD-33021 | biostudies-arrayexpress
Project description:microRNA expression microarray data for analysis of BAALC- and ERG-related miR-expression signatures in older patients with cytogenetically normal AML. The signal intensity was calculated for each spot making an adjustment for local background (i.e., mean foreground minus the median background). Signal intensities less than one were set equal to one and then log-transformed. Log-intensities from replicate spots were averaged. Quantile normalization was performed on arrays using all human and mouse microRNA probes represented on the array. For each microRNA probe, an adjustment was made for batch effects (ie, differences in expression related to the batch in which arrays were hybridized). The normalized data has not been submitted to ArrayExpress.
2011-09-08 | E-TABM-1071 | biostudies-arrayexpress
Project description:Background: Genome-wide detection of single feature polymorphisms (SFP) in swine using transcriptome profiling of day 25 placental RNA by contrasting probe intensities from either Meishan or an occidental composite breed with Affymetrix porcine microarrays is presented. A linear mixed model analysis was used to identify significant breed-by-probe interactions. Results: Gene specific linear mixed models were fit to each of the log2 transformed probe intensities on these arrays, using fixed effects for breed, probe, breed-by-probe interaction, and a random effect for array. After surveying the day 25 placental transcriptome, 789 probes with a q-value ≤ 0.05 and |fold change| ≥ 2 for the breed-by-probe interaction were identified as candidates containing SFP. To address the quality of the bioinformatics approach, universal pyrosequencing assays were designed from Affymetrix exemplar sequences to independently assess polymorphisms within a subset of probes. Of those probes sampled from high-, medium-, and low-ranking categories, 20 of 27 were confirmed by pyrosequencing to contain SFPs. In most cases, the 25-mer probe sequence printed on the microarray diverged from Meishan, not occidental crosses. This analysis was used to define a set of highly reliable predicted SFPs according to their probability scores. Conclusions: By this method we detected transition and transversion single nucleotide polymorphisms, as well as insertions/deletions. These results demonstrate that this approach can identify polymorphisms between two breeds and/or lines of any species for which a short oligonucleotide array is available, and can be used to rapidly develop markers for genetic mapping and association analysis in species where high density genotyping platforms are otherwise unavailable. SNPs and INDELS discovered by this approach have been publicly deposited in NCBI’s SNP repository dbSNP. This method is an attractive bioinformatics tool for uncovering breed-by-probe interactions, for rapidly identifying expressed SNPs, for investigating potential functional correlations between gene expression and breed polymorphisms, and is robust enough to be used on any Affymetrix gene expression platform. Keywords: Transcriptional profiling of Day 25 porcine placentas 30 samples: Breed (Meishan, Occidental) Placental Tissue, Days (25, 45, 65, 85, 105)
2009-02-05 | E-GEOD-10441 | biostudies-arrayexpress
Project description:Background: Genome-wide detection of single feature polymorphisms (SFP) in swine using transcriptome profiling of day 25 placental RNA by contrasting probe intensities from either Meishan or an occidental composite breed with Affymetrix porcine microarrays is presented. A linear mixed model analysis was used to identify significant breed-by-probe interactions. Results: Gene specific linear mixed models were fit to each of the log2 transformed probe intensities on these arrays, using fixed effects for breed, probe, breed-by-probe interaction, and a random effect for array. After surveying the day 25 placental transcriptome, 789 probes with a q-value ⤠0.05 and |fold change| ⥠2 for the breed-by-probe interaction were identified as candidates containing SFP. To address the quality of the bioinformatics approach, universal pyrosequencing assays were designed from Affymetrix exemplar sequences to independently assess polymorphisms within a subset of probes. Of those probes sampled from high-, medium-, and low-ranking categories, 20 of 27 were confirmed by pyrosequencing to contain SFPs. In most cases, the 25-mer probe sequence printed on the microarray diverged from Meishan, not occidental crosses. This analysis was used to define a set of highly reliable predicted SFPs according to their probability scores. Conclusions: By this method we detected transition and transversion single nucleotide polymorphisms, as well as insertions/deletions. These results demonstrate that this approach can identify polymorphisms between two breeds and/or lines of any species for which a short oligonucleotide array is available, and can be used to rapidly develop markers for genetic mapping and association analysis in species where high density genotyping platforms are otherwise unavailable. SNPs and INDELS discovered by this approach have been publicly deposited in NCBIâs SNP repository dbSNP. This method is an attractive bioinformatics tool for uncovering breed-by-probe interactions, for rapidly identifying expressed SNPs, for investigating potential functional correlations between gene expression and breed polymorphisms, and is robust enough to be used on any Affymetrix gene expression platform. Keywords: Transcriptional profiling of Day 25 porcine placentas 6 samples: Breed (Meishan, Occidental) Placental Tissue, Day 25
2010-05-26 | E-GEOD-10447 | biostudies-arrayexpress
Project description:The objective of this work was to determine the effectiveness of cross-hybridization of gDNA from five native soil nematodes to an Affymetrix Caenorhabditis elegans tiling array. Cross-hybridization experiments using C. briggsae, for which genome information is available, allowed hybridisation intensities to be correlated with known sequence differences. Initial analysis of data by conventional array-based Comparative Genomic Hybridization (aCGH) techniques at the chip level lead to misleading results due to an artefact from the combination of scaling, bandwidth smoothing, and differential GC content in exon and intron regions. To circumvent this artefact, individual probes were instead normalized and centered by adjusting for probe-specific thermodynamic binding affinity. However, cross-hybridization of C. briggsae DNA revealed that the resultant probe intensities alone were still uncorrelated to sequence similarity below 90% identity. Below 90% similarity, all probes hybridize uniformly poorly, and above 90% similarity the hybridization differences are not large enough to detect over background, therefore, no 'threshold' ratio of hybridization intensity was successful at identifying probes with similarity to the heterologous genome. In light of the observations described here, we suggest that the criteria for replication and verification of gene expression profiles generated from cross-species microarray hybridizations be more stringent than typically adopted for con-specific hybridizations.
2010-08-18 | GSE23667 | GEO
Project description:This study aim to understand the role of retrotransposable elements in myelination Raw data with accession number GSE11218 and GSE5940 (using Affymetrix expresion GeneChIP Rat Genome 230 2.0 and 230A, respectively) were extracted fromm GEO. Probe level information was extracted using R library rat2302probe (for Rat genome 230 2.0) and rae230aprobe (for rat genome 230A). Unique probe sequence in 230 2.0 and 230A platform were retained and the intersect probes (90507 in number) between two platforms were used for analysis. Background subtracted raw data were quantile normalized. Probes for which intensity were greater than. sample median level in at least half the arrays for one experimental condition in. a dataset were considered present; absent probes were removed. Further differentially expressed probbes between OL and OPC were identified by using R Bioconductor package 'limma'. P-values were adjusted to correct for multiple testing using FDR (Benjamini-Hochberg). Probes for which the difference between groups were > or = 2 fold and the adjusted P-value<0.05 were considered differentially expressed.
2024-02-14 | GSE245032 | GEO