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Parallel gene expression profiling of mantle cell lymphoma - How do we transform 'omics data into clinical practice

Ek, Sara LU and Borrebaeck, Carl LU (2007) In Current Genomics 8(3). p.171-179
Abstract
DNA microarray technology has been a valuable tool to provide a global view of the changes in gene expression that characterize different types of B cell lymphomas, both in relation to clinical parameters but also in comparison with the non-malignant counterparts. The number of transcripts that can be analyzed on an array has dramatically increased, and now most commercially available arrays cover the whole genome, enabling overall analysis of the transcriptome. The backside of collecting this massive amount of information is that even after strict data filtering, it is impossible to do follow-up studies on all findings. Down-stream analysis is time-consuming and when performing confirmatory experiments on the protein level, the... (More)
DNA microarray technology has been a valuable tool to provide a global view of the changes in gene expression that characterize different types of B cell lymphomas, both in relation to clinical parameters but also in comparison with the non-malignant counterparts. The number of transcripts that can be analyzed on an array has dramatically increased, and now most commercially available arrays cover the whole genome, enabling overall analysis of the transcriptome. The backside of collecting this massive amount of information is that even after strict data filtering, it is impossible to do follow-up studies on all findings. Down-stream analysis is time-consuming and when performing confirmatory experiments on the protein level, the experiments are in most cases restricted to proteins recognized by commercially available reagents. Furthermore, since gene expression data is a comparative method not only are the experimental set-up but also the characteristics of both the sample and reference crucial for our ability to answer the questions posed. Thus, initial care must be taken in the design of the experiment and the preparation of the samples. The aim of this review is to discuss the progress in mantle cell lymphoma research enabled by gene expression analysis and to pinpoint the difficulties in making efficient use of the generated data to provide a fast and accurate clinical diagnosis, efficient stratification of patients into disease sub-groups and improved therapy. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Current Genomics
volume
8
issue
3
pages
171 - 179
publisher
Bentham Science Publishers
external identifiers
  • wos:000247161000003
  • pmid:18645603
  • scopus:34250211145
ISSN
1389-2029
DOI
10.2174/138920207780833801
language
English
LU publication?
yes
id
54144c13-f464-4b9b-aef7-3252311ab00f (old id 648947)
date added to LUP
2007-12-11 20:01:20
date last changed
2017-01-01 04:51:14
@article{54144c13-f464-4b9b-aef7-3252311ab00f,
  abstract     = {DNA microarray technology has been a valuable tool to provide a global view of the changes in gene expression that characterize different types of B cell lymphomas, both in relation to clinical parameters but also in comparison with the non-malignant counterparts. The number of transcripts that can be analyzed on an array has dramatically increased, and now most commercially available arrays cover the whole genome, enabling overall analysis of the transcriptome. The backside of collecting this massive amount of information is that even after strict data filtering, it is impossible to do follow-up studies on all findings. Down-stream analysis is time-consuming and when performing confirmatory experiments on the protein level, the experiments are in most cases restricted to proteins recognized by commercially available reagents. Furthermore, since gene expression data is a comparative method not only are the experimental set-up but also the characteristics of both the sample and reference crucial for our ability to answer the questions posed. Thus, initial care must be taken in the design of the experiment and the preparation of the samples. The aim of this review is to discuss the progress in mantle cell lymphoma research enabled by gene expression analysis and to pinpoint the difficulties in making efficient use of the generated data to provide a fast and accurate clinical diagnosis, efficient stratification of patients into disease sub-groups and improved therapy.},
  author       = {Ek, Sara and Borrebaeck, Carl},
  issn         = {1389-2029},
  language     = {eng},
  number       = {3},
  pages        = {171--179},
  publisher    = {Bentham Science Publishers},
  series       = {Current Genomics},
  title        = {Parallel gene expression profiling of mantle cell lymphoma - How do we transform 'omics data into clinical practice},
  url          = {http://dx.doi.org/10.2174/138920207780833801},
  volume       = {8},
  year         = {2007},
}