Unknown,Transcriptomics,Genomics,Proteomics

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Genome-wide Expression Assay Comparison Across Frozen and Fixed Postmortem Brain Tissue Samples


ABSTRACT: Comparison between in vitro transcription- and cDNA-mediated annealing, selection and ligation (DASL)-based assays on brain-specific reference RNA, and postmortem frozen and formalin fixed brain tissue from autistic and control cases. Investigation of data preprocessing techniques for DASL-assayed RNA samples from frozen brain tissue. IVT- and DASL-based expression assays were performed on 10 reference RNA samples (brain and pooled artificially degraded at 0, 10, 30, and 60 min), 4 formalin-fixed tissue-extracted RNA samples with replicates, and 57 frozen tissue-extracted RNA samples with replicates. A subset of the 57 (N=33 samples) from frozen brain tissue assayed using the DASL-based platform were then used to test different dataset preprocessing strategies implemented in the lumi package in R/Bioconductor. The data from frozen-tissue extracted DASL-processed RNA samples passing exclusion criteria were log2 transformed and normalized using quantile normalisation with lumi in R (quantile-normalized data available as a supplementary file linked to the Series record).

ORGANISM(S): Homo sapiens

SUBMITTER: Maggie Chow 

PROVIDER: E-GEOD-28475 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Preprocessing and Quality Control Strategies for Illumina DASL Assay-Based Brain Gene Expression Studies with Semi-Degraded Samples.

Chow Maggie L ML   Winn Mary E ME   Li Hai-Ri HR   April Craig C   Wynshaw-Boris Anthony A   Fan Jian-Bing JB   Fu Xiang-Dong XD   Courchesne Eric E   Schork Nicholas J NJ  

Frontiers in genetics 20120224


Available statistical preprocessing or quality control analysis tools for gene expression microarray datasets are known to greatly affect downstream data analysis, especially when degraded samples, unique tissue samples, or novel expression assays are used. It is therefore important to assess the validity and impact of the assumptions built in to preprocessing schemes for a dataset. We developed and assessed a data preprocessing strategy for use with the Illumina DASL-based gene expression assay  ...[more]

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