Cargando…

A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells

BACKGROUND: Malignant cells in tumours of B-cell origin account for 0.1% to 98% of the total cell content, depending on disease entity. Recently, gene expression profiles (GEPs) of B-cell lymphomas based on microarray technologies have contributed significantly to improved sub-classification and dia...

Descripción completa

Detalles Bibliográficos
Autores principales: Kloster, Maria Bro, Bilgrau, Anders Ellern, Rodrigo-Domingo, Maria, Bergkvist, Kim Steve, Schmitz, Alexander, Sønderkær, Mads, Bødker, Julie Støve, Falgreen, Steffen, Nyegaard, Mette, Johnsen, Hans Erik, Nielsen, Kåre Lehmann, Dybkaer, Karen, Bøgsted, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3505742/
https://www.ncbi.nlm.nih.gov/pubmed/23127183
http://dx.doi.org/10.1186/1471-2164-13-596
_version_ 1782250803114803200
author Kloster, Maria Bro
Bilgrau, Anders Ellern
Rodrigo-Domingo, Maria
Bergkvist, Kim Steve
Schmitz, Alexander
Sønderkær, Mads
Bødker, Julie Støve
Falgreen, Steffen
Nyegaard, Mette
Johnsen, Hans Erik
Nielsen, Kåre Lehmann
Dybkaer, Karen
Bøgsted, Martin
author_facet Kloster, Maria Bro
Bilgrau, Anders Ellern
Rodrigo-Domingo, Maria
Bergkvist, Kim Steve
Schmitz, Alexander
Sønderkær, Mads
Bødker, Julie Støve
Falgreen, Steffen
Nyegaard, Mette
Johnsen, Hans Erik
Nielsen, Kåre Lehmann
Dybkaer, Karen
Bøgsted, Martin
author_sort Kloster, Maria Bro
collection PubMed
description BACKGROUND: Malignant cells in tumours of B-cell origin account for 0.1% to 98% of the total cell content, depending on disease entity. Recently, gene expression profiles (GEPs) of B-cell lymphomas based on microarray technologies have contributed significantly to improved sub-classification and diagnostics. However, the varying degrees of malignant B-cell frequencies in analysed samples influence the interpretation of the GEPs. Based on emerging next-generation sequencing technologies (NGS) like tag sequencing (tag-seq) for GEP, it is expected that the detection of mRNA transcripts from malignant B-cells can be supplemented. This study provides a quantitative assessment and comparison of the ability of microarrays and tag-seq to detect mRNA transcripts from malignant B-cells. A model system was established by eight serial dilutions of the malignant B-cell lymphoma cell line, OCI-Ly8, into the embryonic kidney cell line, HEK293, prior to parallel analysis by exon microarrays and tag-seq. RESULTS: We identified 123 and 117 differentially expressed genes between pure OCI-Ly8 and HEK293 cells by exon microarray and tag-seq, respectively. There were thirty genes in common, and of those, most were B-cell specific. Hierarchical clustering from all dilutions based on the differentially expressed genes showed that neither technology could distinguish between samples with less than 1% malignant B-cells from non-B-cells. A novel statistical concept was developed to assess the ability to detect single genes for both technologies, and used to demonstrate an inverse proportional relationship with the sample purity. Of the 30 common genes, the detection capability of a representative set of three B-cell specific genes - CD74, HLA-DRA, and BCL6 - was analysed. It was noticed that at least 5%, 13% and 22% sample purity respectively was required for detection of the three genes by exon microarray whereas at least 2%, 4% and 51% percent sample purity of malignant B-cells were required for tag-seq detection. CONCLUSION: A sample purity-dependent loss of the ability to detect genes for both technologies was demonstrated. Taq-seq, in comparison to exon microarray, required slightly less malignant B-cells in the samples analysed in order to detect the two most abundantly expressed of the selected genes. The results show that malignant cell frequency is an important variable, with fundamental impact when interpreting GEPs from both technologies.
format Online
Article
Text
id pubmed-3505742
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35057422012-11-30 A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells Kloster, Maria Bro Bilgrau, Anders Ellern Rodrigo-Domingo, Maria Bergkvist, Kim Steve Schmitz, Alexander Sønderkær, Mads Bødker, Julie Støve Falgreen, Steffen Nyegaard, Mette Johnsen, Hans Erik Nielsen, Kåre Lehmann Dybkaer, Karen Bøgsted, Martin BMC Genomics Methodology Article BACKGROUND: Malignant cells in tumours of B-cell origin account for 0.1% to 98% of the total cell content, depending on disease entity. Recently, gene expression profiles (GEPs) of B-cell lymphomas based on microarray technologies have contributed significantly to improved sub-classification and diagnostics. However, the varying degrees of malignant B-cell frequencies in analysed samples influence the interpretation of the GEPs. Based on emerging next-generation sequencing technologies (NGS) like tag sequencing (tag-seq) for GEP, it is expected that the detection of mRNA transcripts from malignant B-cells can be supplemented. This study provides a quantitative assessment and comparison of the ability of microarrays and tag-seq to detect mRNA transcripts from malignant B-cells. A model system was established by eight serial dilutions of the malignant B-cell lymphoma cell line, OCI-Ly8, into the embryonic kidney cell line, HEK293, prior to parallel analysis by exon microarrays and tag-seq. RESULTS: We identified 123 and 117 differentially expressed genes between pure OCI-Ly8 and HEK293 cells by exon microarray and tag-seq, respectively. There were thirty genes in common, and of those, most were B-cell specific. Hierarchical clustering from all dilutions based on the differentially expressed genes showed that neither technology could distinguish between samples with less than 1% malignant B-cells from non-B-cells. A novel statistical concept was developed to assess the ability to detect single genes for both technologies, and used to demonstrate an inverse proportional relationship with the sample purity. Of the 30 common genes, the detection capability of a representative set of three B-cell specific genes - CD74, HLA-DRA, and BCL6 - was analysed. It was noticed that at least 5%, 13% and 22% sample purity respectively was required for detection of the three genes by exon microarray whereas at least 2%, 4% and 51% percent sample purity of malignant B-cells were required for tag-seq detection. CONCLUSION: A sample purity-dependent loss of the ability to detect genes for both technologies was demonstrated. Taq-seq, in comparison to exon microarray, required slightly less malignant B-cells in the samples analysed in order to detect the two most abundantly expressed of the selected genes. The results show that malignant cell frequency is an important variable, with fundamental impact when interpreting GEPs from both technologies. BioMed Central 2012-11-05 /pmc/articles/PMC3505742/ /pubmed/23127183 http://dx.doi.org/10.1186/1471-2164-13-596 Text en Copyright ©2012 Kloster et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Kloster, Maria Bro
Bilgrau, Anders Ellern
Rodrigo-Domingo, Maria
Bergkvist, Kim Steve
Schmitz, Alexander
Sønderkær, Mads
Bødker, Julie Støve
Falgreen, Steffen
Nyegaard, Mette
Johnsen, Hans Erik
Nielsen, Kåre Lehmann
Dybkaer, Karen
Bøgsted, Martin
A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title_full A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title_fullStr A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title_full_unstemmed A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title_short A model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant B-cells
title_sort model system for assessing and comparing the ability of exon microarray and tag sequencing to detect genes specific for malignant b-cells
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3505742/
https://www.ncbi.nlm.nih.gov/pubmed/23127183
http://dx.doi.org/10.1186/1471-2164-13-596
work_keys_str_mv AT klostermariabro amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bilgrauandersellern amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT rodrigodomingomaria amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bergkvistkimsteve amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT schmitzalexander amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT sønderkærmads amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bødkerjuliestøve amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT falgreensteffen amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT nyegaardmette amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT johnsenhanserik amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT nielsenkarelehmann amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT dybkaerkaren amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bøgstedmartin amodelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT klostermariabro modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bilgrauandersellern modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT rodrigodomingomaria modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bergkvistkimsteve modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT schmitzalexander modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT sønderkærmads modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bødkerjuliestøve modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT falgreensteffen modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT nyegaardmette modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT johnsenhanserik modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT nielsenkarelehmann modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT dybkaerkaren modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells
AT bøgstedmartin modelsystemforassessingandcomparingtheabilityofexonmicroarrayandtagsequencingtodetectgenesspecificformalignantbcells