A linear-mixed model approach to identify expressed SFPs using short oligo microarrays - Placenta vs. Fibroblast
Ontology highlight
ABSTRACT:
ORGANISM(S): Sus scrofa
SUBMITTER: Brad Freking
PROVIDER: E-GEOD-10446 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
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: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. This dataset uses different tissue types to explore the consequences of additional sample variance. Keywords: Transcriptional profiling of porcine tissues
2008-02-09 | GSE10446 | 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 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 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:Affymetrix miRNA arrays were used to generate miRNA profiles of on the endometrium of Meishan and Yorkshire pigs on days 15 (implantation stage), 26 (post-implantation stage) and 50 (mid-gestation stage) of gestation. The study allowed for the determination of the miRNAs that were differentially expressed in porcine endometrium on different gestational day and breed. The majority of the miRNAs were differentially expressed during the implantation stage. This study will provide the information to better understanding of the role miRNAs in the porcine endometrium during pregnancy. the endometrium form different gestational day and breed were collected. In order to determine the miRNA expression profile of these tissue, RNA was extracted, labeled and hybridized on an Affymetrix miRNA array.
2014-11-19 | E-GEOD-35995 | biostudies-arrayexpress
Project description:Affymetrix miRNA arrays were used to generate miRNA profiles of on the endometrium of Meishan and Yorkshire pigs on days 15 (implantation stage), 26 (post-implantation stage) and 50 (mid-gestation stage) of gestation. The study allowed for the determination of the miRNAs that were differentially expressed in porcine endometrium on different gestational day and breed. The majority of the miRNAs were differentially expressed during the implantation stage. This study will provide the information to better understanding of the role miRNAs in the porcine endometrium during pregnancy.
2014-11-19 | GSE35995 | GEO
Project description:The study allowed for the determination of the mRNAs that were differentially expressed in porcine endometrium on different gestational day and breed. The majority of the mRNAs were differentially expressed during the implantation stage. This study will provide the information to better understanding of the role of these differently expressed mRNAs in the porcine endometrium during pregnancy. Affymetrix mRNA arrays were used to generate mRNA profiles of on the endometrium of Meishan and Yorkshire pigs on days 15 (implantation stage), 26 (post-implantation stage) and 50 (mid-gestation stage) of gestation. The endometrium from different gestational day and breed were collected. In order to determine the mRNA expression profile of these tissue, RNA was extracted, labeled and hybridized on an Affymetrix mRNA array.
2015-12-31 | E-GEOD-51787 | biostudies-arrayexpress
Project description:The study allowed for the determination of the mRNAs that were differentially expressed in porcine endometrium on different gestational day and breed. The majority of the mRNAs were differentially expressed during the implantation stage. This study will provide the information to better understanding of the role of these differently expressed mRNAs in the porcine endometrium during pregnancy. Affymetrix mRNA arrays were used to generate mRNA profiles of on the endometrium of Meishan and Yorkshire pigs on days 15 (implantation stage), 26 (post-implantation stage) and 50 (mid-gestation stage) of gestation.
2015-12-31 | GSE51787 | GEO
Project description:Using two complementary approaches, analysis of imprinting of candidate genes by pyrosequencing and expression profiling of parthenogenetic fetuses, we carried a comprehensive survey of genomic imprinting in swine. In the case of imprinted genes where transcription of one of the two parental alleles is silenced, uniparental embryos like parthenotes can be used to measure transcript dosage effects. Using Affymetrix Porcine GeneChip microarrays, four tissues of day 30 fetuses were profiled: brain, fibroblast, liver, and placenta. Keywords: Transcriptional profiling of epigenetic asymmetry in porcine day 30 parthenogenetic and biparental fetal tissues 24 samples total of Day 30 occidental porcine fetuses: 2 treatments (parthenote, control); four tissues (brain, fibroblast, liver, placenta); technical replicates (3 fibroblast only)
2010-05-06 | E-GEOD-10443 | biostudies-arrayexpress