ArticleJournal of biomolecular NMR2003
Efficient expression of isotopically labeled peptides for high resolution NMR studies: application to the Cdc42/Rac binding domains of virulent kinases in Candida albicans.
Article in Journal of biomolecular NMR, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- Localization of the binding interface between leiomodin-2 and α-tropomyosin.Biochimica et biophysica acta · 2016Article
- An expression and purification system for the biosynthesis of adenosine receptor peptides for biophysical and structural characterization.Protein expression and purification · 2012Article
- Novel, versatile, and tightly regulated expression system for Escherichia coli strains.Applied and environmental microbiology · 2010Article
- Preparation of recombinant peptides with site- and degree-specific lysine (13)C-methylation.Biochemistry · 2009Article
- Rapid preparation of stable isotope labeled peptides that bind to target proteins by a phage library system.Journal of biomolecular NMR · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of bioactive peptides and small protein fragments is commonly achieved via solid-phase chemical synthesis. However, such techniques become unviable and prohibitively expensive when the peptides are large (e.g., >30 amino acids) or when isotope labeling is required for NMR studies. Expression and purification of large quantities of unfolded peptides in E. coli have also proved to be difficult even when the desired peptides are carried by fusion proteins such as GST. We have developed a peptide expression system that utilizes a novel fusion protein (SFC120) which is highly expressed and directs the peptides to inclusion bodies, thereby minimizing in-cell proteolysis whilst maintaining high yields of peptide expression. The expressed peptides can be liberated from the carrier protein by CNBr cleavage at engineered methionine sites or through proteolysis by specific proteases for peptides containing methionine residues. In the present systems, we use CNBr, due to the absence of methionine residues in the target peptides, although other cleavage sites can be easily inserted. We report the production of six unfolded protein fragments of different composition and lengths (19 to 48 residues) derived from the virulent effector kinases, Cla4 and Ste20 of Candida albicans. All six peptides were produced with high yields of purified material (30-40 mg/l in LB, 15-20 mg/l in M9 medium), pointing to the general applicability of this expression system for peptide production. The enrichment of these peptides with (15)N, (15)N/(13)C and even (15)N/(13)C/(2)H isotopes is presented allowing speedy assignment of poorly-resolved resonances of flexible peptides.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.