Lasso peptides are natural products with a unique three dimensional structure resembling a lariat knot. They are from ribosomal origin and are post-translationally modified by two enzymes (B and C), one of which shares little similarity to enzymes outside of lasso peptide biosynthetic gene clusters and as such is a useful target for genome mining. In this study, we demonstrate a B protein-centric genome mining approach through which we were able to identify 102 putative lasso peptide biosynthetic gene clusters from a total of 87 different proteobacterial strains. Ten of these clusters were cloned into the pET41a expression vector, optimized through incorporation of a ribosomal binding site and heterologously expressed in Escherichia coli BL21(DE3). All 12 predicted lasso peptides (namely burhizin, caulonodin I, caulonodin II, caulonodin III, rhodanodin, rubrivinodin, sphingonodin I, sphingonodin II, syanodin I, sphingopyxin I, sphingopyxin II, and zucinodin) were detected by high-resolution Fourier transform mass spectrometry and their proposed primary structure was confirmed through tandem mass spectrometry. High yields (ranging from 0.4 to 5.2 mg/L) were observable for eight of these compounds, while thermostability assays revealed five new representatives of heat labile lasso peptides.
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http://dx.doi.org/10.1002/bip.22326 | DOI Listing |
Org Biomol Chem
January 2025
State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
A lasso peptide biosynthetic gene cluster (BGC) was identified through genome mining in the species CGMCC 4.1857, which was isolated from acidic rhizosphere soil. The BGC was reconstructed in , leading to the heterologous production of a lasso peptide named streptacidin.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Inflamm Res
January 2025
Department of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China.
Background: Chronic inflammation is well recognized as a key factor related to renal function deterioration in patients with diabetic kidney disease (DKD). Neutrophil extracellular traps (NETs) play an important role in amplifying inflammation. With respect to NET-related genes, the aim of this study was to explore the mechanism of DKD progression and therefore identify potential intervention targets.
View Article and Find Full Text PDFBMC Genom Data
January 2025
Medical Oncology, Central Hospital of Guangdong Provincial Nongken, Zhanjiang, Guangdong, China.
Nat Chem
January 2025
Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
In nature, peptides are enzymatically modified to constrain their structure and introduce functional moieties. De novo peptide structures could be built by combining enzymes from different pathways, but determining the rules of their use is difficult. We present a biophysical model to combine enzymes sourced from bacterial ribosomally synthesized and post-translationally modified peptide (RiPP) gene clusters.
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