Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Increased sensitivity of next generation sequencing-based expression profiling after globin reduction in human blood RNA


ABSTRACT: Transcriptome analysis is of great interest in clinical research, where significant differences between individuals can be translated into biomarkers of disease. Although next generation sequencing provides robust, comparable and highly informative expression profiling data, with several million of tags per blood sample, reticulocyte globin transcripts can constitute up to 76% of total mRNA compromising the detection of low abundant transcripts. We have removed globin transcripts from 6 human whole blood RNA samples with a human globin reduction kit and compared them with the same non-reduced samples using deep Serial Analysis of Gene Expression. Comparison of 6 whole blood RNA samples versus their globin reduced counterparts

ORGANISM(S): Homo sapiens

SUBMITTER: Anastasios Mastrokolias 

PROVIDER: E-GEOD-33701 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Increased sensitivity of next generation sequencing-based expression profiling after globin reduction in human blood RNA.

Mastrokolias Anastasios A   den Dunnen Johan T JT   van Ommen Gertjan B GB   't Hoen Peter A C PA   van Roon-Mom Willeke M C WM  

BMC genomics 20120118


<h4>Background</h4>Transcriptome analysis is of great interest in clinical research, where significant differences between individuals can be translated into biomarkers of disease. Although next generation sequencing provides robust, comparable and highly informative expression profiling data, with several million of tags per blood sample, reticulocyte globin transcripts can constitute up to 76% of total mRNA compromising the detection of low abundant transcripts. We have removed globin transcri  ...[more]

Similar Datasets

2007-07-04 | E-GEOD-8369 | biostudies-arrayexpress
2007-07-07 | E-GEOD-8376 | biostudies-arrayexpress
2007-07-04 | E-GEOD-8366 | biostudies-arrayexpress
2009-03-09 | E-GEOD-9722 | biostudies-arrayexpress
2013-09-30 | E-GEOD-14384 | biostudies-arrayexpress
2010-11-05 | E-GEOD-21465 | biostudies-arrayexpress
2009-01-13 | E-GEOD-11676 | biostudies-arrayexpress
2007-02-02 | E-GEOD-6940 | biostudies-arrayexpress
2006-11-08 | E-GEOD-5211 | biostudies-arrayexpress
2012-01-20 | E-GEOD-35223 | biostudies-arrayexpress