PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 11434966

Coronavirus derived expression systems.

L Enjuanes·I Sola·F Almazan·J Ortego·A Izeta·J M Gonzalez·S Alonso·J M Sanchez·D Escors·E Calvo·C Riquelme·C Sanchez
View original source ↗Export metadata ↓

Abstract

Both helper dependent expression systems, based on two components, and single genomes constructed by targeted recombination, or by using infectious cDNA clones, have been developed. The sequences that regulate transcription have been characterized mainly using helper dependent expression systems and it will now be possible to validate them using single genomes. The genome of coronaviruses has been engineered by modification of the infectious cDNA leading to an efficient (>20 microg ml(-1)) and stable (>20 passages) expression of the foreign gene. The possibility of engineering the tissue and species tropism to target expression to different organs and animal species, including humans, increases the potential of coronaviruses as vectors. Thus, coronaviruses are promising virus vectors for vaccine development and, possibly, for gene therapy.

Explore related subjects

CoronavirusGene Expression Regulation, ViralGenetic TherapyGenetic VectorsGenome, ViralHumansTranscription, GeneticTropismVaccinesJournal ArticleResearch Support, Non-U.S. Gov'tReview

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

L Enjuanes, I Sola, F Almazan, J Ortego, A Izeta, J M Gonzalez, S Alonso, J M Sanchez, D Escors, E Calvo, C Riquelme, C Sanchez. 2001-07-12. Coronavirus derived expression systems.. https://doi.org/10.1016/s0168-1656(01)00281-4

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2004

Moderate mutation rate in the SARS coronavirus genome and its implications.

BACKGROUND: The outbreak of severe acute respiratory syndrome (SARS) caused a severe global epidemic in 2003 which led to hundreds of deaths and many thousands of hospitalizations. The virus causing SARS was identified as a novel coronavirus (SARS-CoV) and multiple genomic sequences have been revealed since mid-April, 2003. After a quiet summer and fall in 2003, the newly emerged SARS cases in Asia, particularly the latest cases in China, are reinforcing a wide-spread belief that the SARS epidemic would strike back. With the understanding that SARS-CoV might be with humans for years to come, knowledge of the evolutionary mechanism of the SARS-CoV, including its mutation rate and emergence time, is fundamental to battle this deadly pathogen. To date, the speed at which the deadly virus evolved in nature and the elapsed time before it was transmitted to humans remains poorly understood. RESULTS: Sixteen complete genomic sequences with available clinical histories during the SARS outbreak were analyzed. After careful examination of multiple-sequence alignment, 114 single nucleotide variations were identified. To minimize the effects of sequencing errors and additional mutations during the cell culture, three strategies were applied to estimate the mutation rate by 1) using the closely related sequences as background controls; 2) adjusting the divergence time for cell culture; or 3) using the common variants only. The mutation rate in the SARS-CoV genome was estimated to be 0.80 - 2.38 x 10-3 nucleotide substitution per site per year which is in the same order of magnitude as other RNA viruses. The non-synonymous and synonymous substitution rates were estimated to be 1.16 - 3.30 x 10-3 and 1.67 - 4.67 x 10-3 per site per year, respectively. The most recent common ancestor of the 16 sequences was inferred to be present as early as the spring of 2002. CONCLUSIONS: The estimated mutation rates in the SARS-CoV using multiple strategies were not unusual among coronaviruses and moderate compared to those in other RNA viruses. All estimates of mutation rates led to the inference that the SARS-CoV could have been with humans in the spring of 2002 without causing a severe epidemic.

Coronavirus↗
PubMed2004

Simultaneous detection of fourteen respiratory viruses in clinical specimens by two multiplex reverse transcription nested-PCR assays.

There is a need for rapid, sensitive, and accurate diagnosis of lower respiratory tract infections in children, elderly, and immunocompromised patients, who are susceptible to serious complications. The multiplex RT-nested PCR assay has been used widely for simultaneous detection of non-related viruses involved in infectious diseases because of its high specificity and sensitivity. A new multiplex RT-PCR assay is described in this report. This approach includes nested primer sets targeted to conserve regions of human parainfluenza virus haemagglutinin, human coronavirus spike protein, and human enterovirus and rhinovirus polyprotein genes. It permits rapid, sensitive, and simultaneous detection and typing of the four types of parainfluenza viruses (1, 2, 3, 4AB), human coronavirus 229E and OC43, and the generic detection of enteroviruses and rhinoviruses. The testing of 201 clinical specimens with this multiplex assay along with other one formerly described by our group to simultaneously detect and type the influenza viruses, respiratory syncytial viruses, and a generic detection of all serotypes of adenovirus, covers the detection of most viruses causing respiratory infectious disease in humans. The results obtained were compared with conventional viral culture, immunofluorescence assay, and a third multiplex RT-PCR assay for all human parainfluenza viruses types described previously. In conclusion, both multiplex RT-PCR assays provide a system capable of detecting and identifying simultaneously 14 different respiratory viruses in clinical specimens with high sensitivity and specificity, being useful for routine diagnosis and survey of these viruses within the population.

Coronavirus↗
PubMed2004

Mutational patterns correlate with genome organization in SARS and other coronaviruses.

Focused efforts by several international laboratories have resulted in the sequencing of the genome of the causative agent of severe acute respiratory syndrome (SARS), novel coronavirus SARS-CoV, in record time. Using cumulative skew diagrams, I found tht mutational patterns in the SARS-CoV genome were strikingly different from other coronaviruses in terms of mutation rates, although they were in general agreement with the model of the coronavirus lifecycle. These findings might be relevant for the development of sequence-based diagnostics and the design of agents to treat SARS.

Coronavirus↗