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Relative quantification of BCL2 mRNA for diagnostic usage needs stable uncontrolled genes as reference
- Source :
- PLoS ONE, PLoS ONE, Vol 15, Iss 8, p e0236338 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science, 2020.
-
Abstract
- Dysregulation of BCL2 is a pathophysiology observed in haematological malignancies. For implementation of available treatment-options it is preferred to know the relative quantification of BCL2 mRNA with appropriate reference genes. For the choice of reference genes-(i) Reference Genes were selected by assessing variation of >60,000 genes from 4 RNA-seq datasets of haematological malignancies followed by filtering based on their GO biological process annotations and proximity of their chromosomal locations to known disease translocations. Selected genes were experimentally validated across various haematological malignancy samples followed by stability comparison using geNorm, NormFinder, BestKeeper and RefFinder. (ii) 43 commonly used Reference Genes were obtained from literature through extensive systematic review. Levels of BCL2 mRNA was assessed by qPCR normalized either by novel reference genes from this study or GAPDH, the most cited reference gene in literature and compared. The analysis showed PTCD2, PPP1R3B and FBXW9 to be the most unregulated genes across lymph-nodes, bone marrow and PBMC samples unlike the Reference Genes used in literature. BCL2 mRNA level shows a consistent higher expression in haematological malignancy patients when normalized by these novel Reference Genes as opposed to GAPDH, the most cited Reference Gene. These reference genes should also be applicable in qPCR platforms using Taqman probes and other model systems including cell lines and rodent models. Absence of sample from healthy-normal individual in diagnostic cases call for careful selection of Reference Genes for relative quantification of a biomarker by qPCR.BCL2 can be used as molecular diagnostics only if normalized with a set of reference genes with stable yet low levels of expression across different types of haematological malignancies.
- Subjects :
- 0301 basic medicine
Physiology
Gene Expression
Datasets as Topic
Hematologic Cancers and Related Disorders
0302 clinical medicine
Bone Marrow
Reference genes
Immune Physiology
Gene expression
Medicine and Health Sciences
RNA-Seq
Statistical Data
Regulation of gene expression
Multidisciplinary
Hematology
Genes, Essential
Statistics
Genomics
Research Assessment
Reference Standards
Gene Expression Regulation, Neoplastic
Oncology
Proto-Oncogene Proteins c-bcl-2
030220 oncology & carcinogenesis
Hematologic Neoplasms
Physical Sciences
Medicine
Biomarker (medicine)
Transcriptome Analysis
Research Article
medicine.medical_specialty
Systematic Reviews
Science
Immunology
Computational biology
Biology
Research and Analysis Methods
Real-Time Polymerase Chain Reaction
03 medical and health sciences
Diagnostic Medicine
Internal medicine
Cell Line, Tumor
TaqMan
medicine
Genetics
Cancer Detection and Diagnosis
Biomarkers, Tumor
Animals
Humans
RNA, Messenger
Gene
Cancers and Neoplasms
Biology and Life Sciences
Computational Biology
Molecular diagnostics
Genome Analysis
Disease Models, Animal
030104 developmental biology
Immune System
Leukocytes, Mononuclear
Feasibility Studies
Genome Expression Analysis
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....a36bf3ea9b459e8bed72bfc275824c8f