Abstract:Streptomyces sp. BRA-346 is an Actinobacteria isolated from the Brazilian endemic tunicate Euherdmania sp. We have reported that this strain produces epoxyketone peptides, as dihydroeponemycin (DHE) and structurally related analogs. This cocktail of epoxyketone peptides inhibits the proteasome chymotrypsin-like activity and shows high cytotoxicity to glioma cells. However, low yields and poor reproducibility of epoxyketone peptides production by BRA-346 under laboratory cultivation have limited the isolation o… Show more
“…Among the suggestions, the compound with the lowest m/z error was TMC-86A (MQscore 0.27, m/z error 1.87 ppm), a bioactive epoxy-β-aminoketone known as a specialized metabolite produced by Streptomyces, 47 including BRA-346. 17,36 The clean consensus spectrum of m/z ion 343.187 exhibited fragment ions of m/z 325.176, 251.103, 186.113, 168.102, 150.091, and 130.050 (Figures S18A and S19), which match the experimental spectra of isolated TMC-86A 48,49 (Figure S18C), supporting the initial structure annotated by Tremolo using the UNPD-ISDB database. Although TMC-86A was not ranked with the highest score, its lowest m/z error was a determining factor among Tremolo suggestions.…”
Section: ■ Introductionsupporting
confidence: 70%
“…The suggested compounds were ranked according to the highest Tremolo score and the lowest m / z error (Table S3). Among the suggestions, the compound with the lowest m / z error was TMC-86A (MQscore 0.27, m / z error 1.87 ppm), a bioactive epoxy-β-aminoketone known as a specialized metabolite produced by Streptomyces, including BRA-346. , …”
Section: Resultsmentioning
confidence: 99%
“…BRA-346, isolated from a Brazilian endemic tunicate, 17 was reported to produce the epoxy-β-aminoketones TMC-86A, dihydroeponemycin, and eponemycin and analogues that exhibited high cytotoxicity against glioma cell lines through proteasome inhibition. 17,36 Streptomyces sp. BRA-346 extract was fractionated, resulting in 96 fractions.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Other TMC-86A analogues were also detected in the BRA-346 extract (Figure 3A, in black), which also represent epoxy-β-aminoketone proteasome inhibitors produced by the same BGC. 36,49 These TMC-86A analogues, detected in the BRA-346 extract, are present in the second peak of activity (fractions 83−93), which were not used in this NP 3 MS Workflow analysis (more information in Supporting Information, Note S13).…”
Section: ■ Introductionmentioning
confidence: 99%
“…BRA-346. 36 In addition to TMC-86 being a known proteasome inhibitor with IC 50 value in the low micromolar range, 47 a duplicated copy of the bacterial proteasome gene was also found within the TMC-86A biosynthetic gene cluster in the Streptomyces sp. BRA-346 genome.…”
Natural products
(or specialized metabolites) are historically
the main source of new drugs. However, the current drug discovery
pipelines require miniaturization and speeds that are incompatible
with traditional natural product research methods, especially in the
early stages of the research. This article introduces the NP3 MS Workflow, a robust open-source software system for liquid chromatography–tandem
mass spectrometry (LC–MS/MS) untargeted metabolomic data processing
and analysis, designed to rank bioactive natural products directly
from complex mixtures of compounds, such as bioactive biota samples.
NP3 MS Workflow allows minimal user intervention as well
as customization of each step of LC–MS/MS data processing,
with diagnostic statistics to allow interpretation and optimization
of LC–MS/MS data processing by the user. NP3 MS
Workflow adds improved computing of the MS2 spectra in
an LC–MS/MS data set and provides tools for automatic [M +
H]+ ion deconvolution using fragmentation rules; chemical
structural annotation against MS2 databases; and relative
quantification of the precursor ions for bioactivity correlation scoring.
The software will be presented with case studies and comparisons with
equivalent tools currently available. NP3 MS Workflow shows
a robust and useful approach to select bioactive natural products
from complex mixtures, improving the set of tools available for untargeted
metabolomics. It can be easily integrated into natural product-based
drug-discovery pipelines and to other fields of research at the interface
of chemistry and biology.
“…Among the suggestions, the compound with the lowest m/z error was TMC-86A (MQscore 0.27, m/z error 1.87 ppm), a bioactive epoxy-β-aminoketone known as a specialized metabolite produced by Streptomyces, 47 including BRA-346. 17,36 The clean consensus spectrum of m/z ion 343.187 exhibited fragment ions of m/z 325.176, 251.103, 186.113, 168.102, 150.091, and 130.050 (Figures S18A and S19), which match the experimental spectra of isolated TMC-86A 48,49 (Figure S18C), supporting the initial structure annotated by Tremolo using the UNPD-ISDB database. Although TMC-86A was not ranked with the highest score, its lowest m/z error was a determining factor among Tremolo suggestions.…”
Section: ■ Introductionsupporting
confidence: 70%
“…The suggested compounds were ranked according to the highest Tremolo score and the lowest m / z error (Table S3). Among the suggestions, the compound with the lowest m / z error was TMC-86A (MQscore 0.27, m / z error 1.87 ppm), a bioactive epoxy-β-aminoketone known as a specialized metabolite produced by Streptomyces, including BRA-346. , …”
Section: Resultsmentioning
confidence: 99%
“…BRA-346, isolated from a Brazilian endemic tunicate, 17 was reported to produce the epoxy-β-aminoketones TMC-86A, dihydroeponemycin, and eponemycin and analogues that exhibited high cytotoxicity against glioma cell lines through proteasome inhibition. 17,36 Streptomyces sp. BRA-346 extract was fractionated, resulting in 96 fractions.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Other TMC-86A analogues were also detected in the BRA-346 extract (Figure 3A, in black), which also represent epoxy-β-aminoketone proteasome inhibitors produced by the same BGC. 36,49 These TMC-86A analogues, detected in the BRA-346 extract, are present in the second peak of activity (fractions 83−93), which were not used in this NP 3 MS Workflow analysis (more information in Supporting Information, Note S13).…”
Section: ■ Introductionmentioning
confidence: 99%
“…BRA-346. 36 In addition to TMC-86 being a known proteasome inhibitor with IC 50 value in the low micromolar range, 47 a duplicated copy of the bacterial proteasome gene was also found within the TMC-86A biosynthetic gene cluster in the Streptomyces sp. BRA-346 genome.…”
Natural products
(or specialized metabolites) are historically
the main source of new drugs. However, the current drug discovery
pipelines require miniaturization and speeds that are incompatible
with traditional natural product research methods, especially in the
early stages of the research. This article introduces the NP3 MS Workflow, a robust open-source software system for liquid chromatography–tandem
mass spectrometry (LC–MS/MS) untargeted metabolomic data processing
and analysis, designed to rank bioactive natural products directly
from complex mixtures of compounds, such as bioactive biota samples.
NP3 MS Workflow allows minimal user intervention as well
as customization of each step of LC–MS/MS data processing,
with diagnostic statistics to allow interpretation and optimization
of LC–MS/MS data processing by the user. NP3 MS
Workflow adds improved computing of the MS2 spectra in
an LC–MS/MS data set and provides tools for automatic [M +
H]+ ion deconvolution using fragmentation rules; chemical
structural annotation against MS2 databases; and relative
quantification of the precursor ions for bioactivity correlation scoring.
The software will be presented with case studies and comparisons with
equivalent tools currently available. NP3 MS Workflow shows
a robust and useful approach to select bioactive natural products
from complex mixtures, improving the set of tools available for untargeted
metabolomics. It can be easily integrated into natural product-based
drug-discovery pipelines and to other fields of research at the interface
of chemistry and biology.
Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased the volume of microbial genomes and their encoded biosynthetic products measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes of interest is still challenging. This results in a large portion of genes and metabolites remaining unannotated. Further exacerbating the annotation challenge, databases and tools for annotation and omics integration are scattered, requiring complex computations to annotate and integrate omics datasets. Here we performed a two-way integrative analysis combining genomics and metabolomics data to describe a new approach to characterize the marine bacterial isolate BRA006 and to explore its biosynthetic gene cluster (BGC) content as well as the bioactive compounds detected by metabolomics. We described BRA006 genomic content and structure by comparing Illumina and Oxford Nanopore MinION sequencing approaches. Digital DNA:DNA hybridization (dDDH) taxonomically assigned BRA006 as a potential new species of theMicromonosporagenus. Starting from LC-ESI(+)-HRMS/MS data, and mapping the annotated enzymes and metabolites belonging to the same pathways, our integrative analysis allowed us to correlate the compound Brevianamide F to a new BGC, previously assigned to other function.
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