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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |