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Biotechnology Information eqtl browser
Eqtl Browser, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Expressing:

Article Title: Transcriptome-Wide Mega-Analyses Reveal Joint Dysregulation of Immunologic Genes and Transcription Regulators in Brain and Blood in Schizophrenia
Article Snippet: .. For various gene lists of interest ( i.e ., differentially expressed or participants in a network module), we sought to assess whether those genes disproportionately represented: (1) expression quantitative trait loci (eQTLs) previously identified in brain or blood cells (National Center for Biotechnology Information [NCBI] eQTL Browser); and (2) SNPs associated with SZ based on prior association studies ( Ripke et al., 2014 ). ..

Article Title: Complex genetics of pulmonary diseases: Lessons from GWAS and next-generation sequencing
Article Snippet: .. Systems biology implications of these polymorphisms Using expression quantitative trait loci (eQTL), we identified two interesting findings about the mRNAs in cis and trans associations with SNPs reported in – (National Center for Biotechnology Information eQTL Browser; http://ncbi.nlm.nih.gov/projects/gap/eqtl/index.cgi ). ..

Article Title: Transcriptome-Wide Mega-Analyses Reveal Joint Dysregulation of Immunologic Genes and Transcription Regulators in Brain and Blood in Schizophrenia
Article Snippet: .. Expression Quantitative Trait Loci and GWAS Enrichment Analysis For various gene lists of interest ( i.e ., differentially expressed or participants in a network module), we sought to assess whether those genes disproportionately represented: (1) expression quantitative trait loci (eQTLs) previously identified in brain or blood cells (National Center for Biotechnology Information [NCBI] eQTL Browser); and (2) SNPs associated with SZ based on prior association studies ( Ripke et al., 2014 ). ..

Article Title: Complex genetics of pulmonary diseases: Lessons from GWAS and next-generation sequencing
Article Snippet: .. Using expression quantitative trait loci (eQTL), we identified two interesting findings about the mRNAs in cis and trans associations with SNPs reported in – (National Center for Biotechnology Information eQTL Browser; http://ncbi.nlm.nih.gov/projects/gap/eqtl/index.cgi ). ..

GWAS:

Article Title: Transcriptome-Wide Mega-Analyses Reveal Joint Dysregulation of Immunologic Genes and Transcription Regulators in Brain and Blood in Schizophrenia
Article Snippet: .. Expression Quantitative Trait Loci and GWAS Enrichment Analysis For various gene lists of interest ( i.e ., differentially expressed or participants in a network module), we sought to assess whether those genes disproportionately represented: (1) expression quantitative trait loci (eQTLs) previously identified in brain or blood cells (National Center for Biotechnology Information [NCBI] eQTL Browser); and (2) SNPs associated with SZ based on prior association studies ( Ripke et al., 2014 ). ..



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Location and expression of genes surrounding the identified QTL in chromosomal region 6p21.32-33. Top: Schematic of chromosomal region 6p21.32-33 from the <t>NCBI</t> Gene website depicting annotated genes surrounding the identified QTL (red arrow). Bottom: Total RNA was purified from cultured primary HCE and TM-1 cells and used for cDNA synthesis. Reverse transcription-PCR using cDNA was performed using gene-specific primers from MUC21, MUC22, and HCG22, and the products were resolved on a 1.5% agarose gel. Primers for HCG22 were designed to detect only the coding transcript. Similar results were obtained using three primary TBM cell lines (not shown). RTase, reverse transcriptase; HCE, primary corneal epithelial cells obtained from corneal rims.
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Location and expression of genes surrounding the identified QTL in chromosomal region 6p21.32-33. Top: Schematic of chromosomal region 6p21.32-33 from the NCBI Gene website depicting annotated genes surrounding the identified QTL (red arrow). Bottom: Total RNA was purified from cultured primary HCE and TM-1 cells and used for cDNA synthesis. Reverse transcription-PCR using cDNA was performed using gene-specific primers from MUC21, MUC22, and HCG22, and the products were resolved on a 1.5% agarose gel. Primers for HCG22 were designed to detect only the coding transcript. Similar results were obtained using three primary TBM cell lines (not shown). RTase, reverse transcriptase; HCE, primary corneal epithelial cells obtained from corneal rims.

Journal: Investigative Ophthalmology & Visual Science

Article Title: Identification of a Novel Mucin Gene HCG22 Associated With Steroid-Induced Ocular Hypertension

doi: 10.1167/iovs.14-14803

Figure Lengend Snippet: Location and expression of genes surrounding the identified QTL in chromosomal region 6p21.32-33. Top: Schematic of chromosomal region 6p21.32-33 from the NCBI Gene website depicting annotated genes surrounding the identified QTL (red arrow). Bottom: Total RNA was purified from cultured primary HCE and TM-1 cells and used for cDNA synthesis. Reverse transcription-PCR using cDNA was performed using gene-specific primers from MUC21, MUC22, and HCG22, and the products were resolved on a 1.5% agarose gel. Primers for HCG22 were designed to detect only the coding transcript. Similar results were obtained using three primary TBM cell lines (not shown). RTase, reverse transcriptase; HCE, primary corneal epithelial cells obtained from corneal rims.

Article Snippet: This LD block is situated upstream of HCG22 , located approximately 1.8 kb from the transcriptional start site for all transcripts. table ft1 table-wrap mode="anchored" t5 caption a7 Tag SNPs and Variants in LD ( r 2 ≥ 0.8) and Functional Associations Open in a separate window The National Center for Biotechnology Information (NCBI) GTEx eQTL browser is a central resource that archives and displays results of a national research project for determining association between genetic variation and high-throughput molecular-level expression phenotypes, and this information can provide insight into the biological relevance of data from GWA studies.

Techniques: Expressing, Purification, Cell Culture, cDNA Synthesis, Reverse Transcription, Agarose Gel Electrophoresis