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.

Download full-text PDF

Source
http://dx.doi.org/10.1002/bip.22326DOI Listing

Publication Analysis

Top Keywords

lasso peptides
16
genome mining
12
mass spectrometry
12
lasso peptide
8
peptide biosynthetic
8
biosynthetic gene
8
gene clusters
8
caulonodin caulonodin
8
lasso
6
peptides proteobacteria
4

Similar Publications

Genome mining and heterologous expression reveal streptacidin, a new lasso peptide from .

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 PDF

The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers.

J 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.

View Article and Find Full Text PDF

IL-33, a neutrophil extracellular trap-related gene involved in the progression of diabetic kidney disease.

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 PDF
Article Synopsis
  • The study investigates the role of ERBB3 expression in HER2-positive breast cancer and its potential impact on treatment resistance.
  • Through various bioinformatics techniques and machine learning algorithms, the researchers identified three key genes—PBX1, IGHM, and CXCL13—that are linked to ERBB3 expression and can serve as prognostic markers.
  • Findings suggest that these genes may influence breast cancer cell behavior and prognosis, emphasizing their significance in understanding HER2-positive breast cancer treatment outcomes.
View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!