Control of gene expression in prokaryotic systems

Gros, François

doi:10.1016/0014-5793(74)80685-x

Cited by 16 publications

(3 citation statements)

References 144 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 1975, Knijnenburg and Kreisher initiated development of a computational model to describe the intracellular development of an RNA phage. Their work was motivated by an emerging mechanistic understanding from experiments on the highly coupled roles that the synthesis of viral RNA and viral proteins play in the life cycle of single-stranded RNA bacteriophages MS2 and Q␤ (42,43). Both MS2 and Q␤ carry positive-sense RNA genomes which can serve as mRNA templates to synthesize phage proteins or to produce negative-sense RNA templates, which are essential intermediates in phage genome replication.…”

Section: A Single-stranded Positive-sense Rna Virusmentioning

confidence: 99%

“…It is also able to use a large number of phage-like shorter RNAs (typically 25 to 50 nucleotides long) as templates because they retain secondary structures essential for binding and engagement of the replicase. The Q␤ infection cycle within Escherichia coli can produce about 1,000 infectious phage progeny per cell in about 45 min at 37°C, and the intracellular steps have been well characterized (43,(46)(47)(48).…”

Section: Bacteriophage Q␤mentioning

confidence: 99%

See 1 more Smart Citation

Kinetic Modeling of Virus Growth in Cells

Yin

Redovich

2018

Microbiol Mol Biol Rev

View full text Add to dashboard Cite

When a virus infects a host cell, it hijacks the biosynthetic capacity of the cell to produce virus progeny, a process that may take less than an hour or more than a week. The overall time required for a virus to reproduce depends collectively on the rates of multiple steps in the infection process, including initial binding of the virus particle to the surface of the cell, virus internalization and release of the viral genome within the cell, decoding of the genome to make viral proteins, replication of the genome, assembly of progeny virus particles, and release of these particles into the extracellular environment. For a large number of virus types, much has been learned about the molecular mechanisms and rates of the various steps. However, in only relatively few cases during the last 50 years has an attempt been made-using mathematical modeling-to account for how the different steps contribute to the overall timing and productivity of the infection cycle in a cell. Here we review the initial case studies, which include studies of the one-step growth behavior of viruses that infect bacteria (Qβ, T7, and M13), human immunodeficiency virus, influenza A virus, poliovirus, vesicular stomatitis virus, baculovirus, hepatitis B and C viruses, and herpes simplex virus. Further, we consider how such models enable one to explore how cellular resources are utilized and how antiviral strategies might be designed to resist escape. Finally, we highlight challenges and opportunities at the frontiers of cell-level modeling of virus infections.

show abstract

Section: A Single-stranded Positive-sense Rna Virusmentioning

confidence: 99%

Section: Bacteriophage Q␤mentioning

confidence: 99%

Kinetic Modeling of Virus Growth in Cells

Yin

Redovich

2018

Microbiol Mol Biol Rev

View full text Add to dashboard Cite

show abstract

“…These classes are not identical to those detected in the NF experiments which implies that at least three classes of messenger exist. Although it has almost generally been accepted that gene expression in prokaryotes is only regulated at the level of transcription (20)(21)(22), the heterogeneity in translation as revealed by the action of the nitrofurans, suggests regulation at the level of translation.…”

Section: Nf Action In Vitromentioning

confidence: 99%

Nitrofurans, a group of synthetic antibiotics, with a new mode of action: discrimination of specific messenger RNA classes.

Herrlich¹,

Schweiger²

1976

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Nitrofurans, a class of antibacterial drugs in, extensive use, interferes with gene expression in a highly specific manner. While in the low dose range (0.5-25 ;&g/ml), 5-nitro-2-furfurylidene-l-aminohydantoin has no effect on transcription, it inhibits specifically the expression of one class of genes in translation. The specific inhibition concerns the inducible genes. The inhibition of messenger RNA expression occurs at the initiation step. The action of nitrofurans, thus, indicates heterogenei in e population of mRNA molecules and in the translational machinery, and suggests the possibility of selective translational control.

show abstract

The role of RNA structure in RNA replication

Biebricher

1994

Ber Bunsenges Phys Chem

View full text Add to dashboard Cite

RNA replication by RNA replicases has two puzzling features: (i) its selectivity, i.e. only a few RNA species can be replicated, (ii) strand separation, i.e., a single‐stranded RNA template is used to produce a complementary replica; both template and replica are liberated as single‐stranded RNA. Sequence comparison of a great number of replicating RNA species did not reveal sequence homologies except for the invariant ends. However, a structural element required for the replication has been identified: 5′ termini were found to be involved in intramolecular base‐pairing while the 3′ termini were not. Artificially designed short RNA sequences having this structural property were synthesized and found to replicate. The results suggest that the RNA structures of template and replica participate directly in catalyzing the replication, in particular in the separation of strands during RNA replication.

show abstract

Control of gene expression in prokaryotic systems

Cited by 16 publications

References 144 publications

Kinetic Modeling of Virus Growth in Cells

Kinetic Modeling of Virus Growth in Cells

Nitrofurans, a group of synthetic antibiotics, with a new mode of action: discrimination of specific messenger RNA classes.

The role of RNA structure in RNA replication

Contact Info

Product

Resources

About