External Synthetic RNA Controls for Ebola
Synthetic RNA can be used to verify technical performance and interpretation of data quality resulting from various molecular diagnostic tests or methods. External spike-in controls are useful for method standardization and validation used by several laboratories and companies in recent years. In general, synthetic RNA controls are custom made. The controls are developed and optimized for their use in different diagnostic platforms and assays, such as in quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR), or microarray assays, as well as others. The use of synthetic RNA controls enable the development of diagnostic assays or testing methods allowing monitoring the spread of viral infections, such as the Ebola epidemic, the flu, SARS, the cold, infections with enteroviruses, or any other virus.
The longer a viral epidemic continues, the greater the chances are that the virus will spread to a wider community or jump over borders into other countries. The present Ebola epidemic illustrates this. As of October 2014, the Ebola outbreak is reported to have infected more than 5,000 people, and the mortality rate of this disease is reported to be close to 70%. The availability of fast and accurate diagnostic tests increases the chances for the early detection of an infection.
The ease of travel today together with the incubation time of eight to 21 days for the Ebola virus, increases the chance that an infected person can bring the virus across borders, thereby spreading the virus outside of Africa. According to Dr. Tom Frieden, MD, MPH, the director of the Center for Disease Control and Prevention, in Atlanta, it is important to rapidly test people for infection who have been traveling to countries that have been affected with the Ebola virus.
Since early recognition of an Ebola infection is critical to prevent further spread of the virus and to increase the chances of a person's survival, the need for reliable diagnostic methods is great. However, in the case of the Ebola Virus the diagnosis of a person infected with the virus is quite difficult during the early days of the infection. Reasons are initial symptoms, such as fever, which are not specific to the infection with Ebola. People infected with malaria or typhoid fever often show similar symptoms. Early signs of infection include fever, headache, sore throat, joint and muscle aches, diarrhea and weakness.
Reasons for testing if the Ebola virus is present in a person are:
- A person shows symptoms mentioned above and is known to have had contact with blood or body fluids of an infected person.
- A person shows symptoms mentioned above and is known to have had contact with infected animals.
- A person shows symptoms mentioned above and is known to have had contact with infected objects such as infected clothes or tools that belonged to an infected person.
Early diagnosis of an infection with the virus can help to avoid further infections. This will help to identify infected persons and isolate them from the community that surrounds them thereby minimizing the spread of the virus.
What is an Ebola virus?
The Ebola virus is a single-stranded, negative-sense mini-genome RNA virus. Zaire Ebola virus is responsible for the recent outbreak in West-Africa. Ebola viruses belong to the filoviridae family, and together with Paramyxoviridae, Rhabdoviridae, and Borna disease virus, Filoviridae viruses belong to the taxonomic order mononegavirales. Mononegavirales is the term used for "nonsegmented negative-strand RNA viruses" (NNSV). These are enveloped viruses that have mini-genomes consisting of a single RNA molecule of negative or anti-mRNA sense. Nucleic acids isolated from negative strand RNA viruses or virus-infected cells cannot infect or initiate an infection cycle when introduced into the host cell. This criterion was used to distinguish “positive’ from “negative”-strand RNA viruses. The viral genome needs to be first transcribed to produce mRNAs. Therefore, the purified virion RNA is not infectious. The virus needs to bring its own RNA polymerase into the cell in order to produce mRNA. To allow the virus to be infective a viral polymerase must be part of the viral particle or virion. In addition, synthetic RNA fragments derived from the viral genome are also not infectious. Therefore, the use of non-infectious synthetic viral RNA allows for the design of PCR primers or probes as well as peptides and recombinant proteins for molecular diagnostics.
What testing methods are presently available?
In general, the development or use of optimal RNA isolation methods together with real-time PCR are a good start for the development of fast and accurate testing or diagnostic methods. Optimized primers and probes for the PCR reaction are needed. The use of external synthetic RNA controls will allow evaluating, validating and standardizing classical as well as newly designed diagnostic testing methods or assays.
The following table shows a list of laboratory or diagnosis tests that are available or need to be developed.
Laboratory or diagnosis tests for Ebola
Infection Timeline
|
Diagnostic Tests
|
A few days after symptoms begin
|
- Antigen-capture enzyme-linked immunosorbent assay (ELISA) testing
- IgM ELISA
- Polymerase chain reaction (PCR)
- Virus isolation
|
Later in disease course or after recovery
|
- IgM and IgG antibodies
- Immunohistochemistry testing
- PCR
- Virus isolation
|
Retrospectively in deceased patients
|
- IgM and IgG antibodies
- Immunohistochemistry testing
- PCR
- Virus isolation
|
The External RNA Controls Consortium reported in 2005 in their progress report that reference standards to facilitate platform evaluation and comparability are needed. For example, the report showed that such standards may form part of a toolkit to evaluate the key performance characteristics of different qPCR platforms. Furthermore, a panel of RNA controls was developed for use in gene expression applications by the External RNA Controls Consortium (ERCC).
According to the ERCC, certified reference materials (CRM)
- consist of a reference set of approximately 100 well-characterized clones comprising RNA transcripts from random unique sequences as determined by sequence comparison to mouse, rat, human, drosophila, bacteria, and mosquito sequence databases, as well as inclusion of other nonhuman sequences;
- access to clones of the reference set deposited at a public repository;
- publication of all sequence information and test data;
- protocols for the preparation and use of the controls;
- suitable algorithms and bioinformatics tools for quantitative assessment and evaluation.
(http://www.nist.gov/mml/bbd/cell_systems/ercc_091406.cfm).
The next figures illustrate the workflow of an expression assay process and the use of spike-in controls to allow for standardization and validation of the process.
During the assay process sources for variability can be measured at various steps as indicated by the red arrows.
The use of synthetic RNA controls allows evaluation of technical performance throughout the whole assay process as has been pointed out elegantly by the ERCC.
Links to info for the ERCC:
http://www.ncbi.nlm.nih.gov/pubmed/16179916
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166838/
Criteria for the design of new synthetic RNA controls that may need to be considered are:
- Their usefulness for the validation and standardization of testing procedures or assays.
- Controls used need to be non-infectious. Synthetic RNA fragments or mini-genomes derived from published genomic data available from public databases have been shown to be non-infective. The use of these type of controls for diagnostic assays or tests help to protect laboratory personnel and prevent infections.
- Synthetic RNA controls are very useful for qRT-PCR since exact known amounts of the control can be spike-in to allow for the sensitive detection of target sequences.
With over 30 years of experience in synthetic DNA chemistry and Molecular biology BSI offers custom designed synthetic RNA controls.
Reference
Arpan Acharya, Salil Vaniawala, Parth Shah, Harsh Parekh, Rabindra Nath Misra, Minal Wani, Pratap N Mukhopadhyaya; A robust HIV-1 viral load detection assay optimized for Indian sub type C specific strains and resource limiting setting. Biol Res. 2014; 47(1): 22. Published online 2014 May 30. doi:Â 10.1186/0717-6287-47-22. PMCID: PMC4101728.
Baker SC, Bauer SR, Beyer RP, Brenton JD, Bromley B, Burrill J, Causton H, Conley MP, Elespuru R, Fero M, Foy C, Fuscoe J, Gao X, Gerhold DL, Gilles P, Goodsaid F, Guo X, Hackett J, Hockett RD, Ikonomi P, Irizarry RA, Kawasaki ES, Kaysser-Kranich T, Kerr K, Kiser G, Koch WH, Lee KY, Liu C, Liu ZL, Lucas A. et al. The External RNA Controls Consortium: a progress report. Nat Methods. 2005;2:731–734. doi: 10.1038/nmeth1005-731.
External RNA Controls Consortium; Proposed methods for testing and selecting the ERCC external RNA controls. BMC Genomics. 2005; 6: 150. Published online Nov 2, 2005. doi: 10.1186/1471-2164-6-150.
Roberta M. Madej, Jack Davis, Marcia J. Holden, Stan Kwang, Emmanuel Labourier, George J. Schneider; International Standards and Reference Materials for Quantitative Molecular Infectious Disease Testing. J Mol Diagn. 2010 March; 12(2): 133-143. doi:Â 10.2353/jmoldx.2010.090067. PMCID: PMC2871718
Alison S Devonshire, Ramnath Elaswarapu, Carole A Foy; Applicability of RNA standards for evaluating RT-qPCR assays and platforms. BMC Genomics. 2011; 12: 118. Published online 2011 February 18. doi:Â 10.1186/1471-2164-12-118. PMCID: PMC3052187.
Alison S Devonshire, Ramnath Elaswarapu, Carole A Foy; Evaluation of external RNA controls for the standardisation of gene expression biomarker measurements. BMC Genomics. 2010; 11: 662. Published online 2010 November 24. doi:Â 10.1186/1471-2164-11-662. PMCID: PMC3091780
R. T. Hayden, M. D. Shahbazian, A. Valsamakis, J. Boonyaratanakornkit, L. Cook, X. L. Pang, J. K. Preiksaitis, E. R. Schoenbrunner, A. M. Caliendo; Multicenter Evaluation of a Commercial Cytomegalovirus Quantitative Standard: Effects of Commutability on Interlaboratory Concordance. J Clin Microbiol. 2013 November; 51(11): 3811-3817. doi:Â 10.1128/JCM.02036-13. PMCID: PMC3889771.
J Holian, I D Griffiths, D N Glass, R N Maini, J T Scott; Human anti-DNA antibody: reference standards for diagnosis and management of systemic lupus erythematosus. Ann Rheum Dis. 1975 October; 34(5): 438–443. PMCID: PMC1006445.
Lichun Jiang, Felix Schlesinger, Carrie A. Davis, Yu Zhang, Renhua Li, Marc Salit, Thomas R. Gingeras, Brian Oliver; Synthetic spike-in standards for RNA-seq experiments. Genome Res. 2011 September; 21(9): 1543–1551. doi: 10.1101/gr.121095.111. PMCID: PMC3166838.
Karl Kashofer, Christian Viertler, Martin Pichler, Kurt Zatloukal; Quality Control of RNA Preservation and Extraction from Paraffin-Embedded Tissue: Implications for RT-PCR and Microarray Analysis. PLoS One. 2013; 8(7): e70714. Published online 2013 July 31. doi:Â 10.1371/journal.pone.0070714 PMCID: PMC3729557.
Shaheed V. Omar, Andreas Roth, Nazir A. Ismail, Linda Erasmus, Marthie Ehlers, Marleen Kock, Nuraan Paulse, Halima M. Said, Anwar A. Hoosen, Udo Reischl; Analytical Performance of the Roche LightCycler® Mycobacterium Detection Kit for the Diagnosis of Clinically Important Mycobacterial Species. PLoS One. 2011; 6(9): e24789. Published online 2011 September 22. doi:Â 10.1371/journal.pone.0024789. PMCID: PMC3178549.
M. Reiter, B. Kirchner, H. Müller, C. Holzhauer, W. Mann, M. W. Pfaffl; Quantification noise in single cell experiments. Nucleic Acids Res. 2011 October; 39(18): e124. Published online 2011 July 11. doi: 10.1093/nar/gkr505Correction in: Nucleic Acids Res. 2011 December; 39(22): 9834. PMCID: PMC3185419.
Inchul Yang, In Young Park, Sung-Moon Jang, Lian Hua Shi, Hyung-Keun Ku, Sang-Ryoul Park; Rapid quantification of DNA methylation through dNMP analysis following bisulfite-PCR. Nucleic Acids Res. 2006; 34(8): e61. Published online 2006 May 5. doi:Â 10.1093/nar/gkl257. PMCID: PMC1458279.
Sien Zhan, Jinming Li, Ruihuan Xu, Lunan Wang, Kuo Zhang, Rui Zhang; Armored Long RNA Controls or Standards for Branched DNA Assay for Detection of Human Immunodeficiency Virus Type 1. J Clin Microbiol. 2009 August; 47(8): 2571-2576. Published online 2009 June 3. doi:Â 10.1128/JCM.00232-09. PMCID: PMC2725685.
Justin M. Zook, Daniel Samarov, Jennifer McDaniel, Shurjo K. Sen, Marc Salit; Synthetic Spike-in Standards Improve Run-Specific Systematic Error Analysis for DNA and RNA Sequencing. PLoS One. 2012; 7(7): e41356. Published online 2012 July 31. doi:Â 10.1371/journal.pone.0041356. PMCID: PMC3409179.