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PXD014255

PXD014255 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleCyclipostins and Cyclophostin analogs impair growth of Mycobacterium abscessus by inhibiting enzymes involved in many physiological processes
DescriptionMycobacterium abscessus is nowadays under the spotlight of the scientific community. This pathogenic mycobacteria is indeed responsible for a wide spectrum of infections involving mostly pulmonary infections in patients with cystic fibrosis. M. abscessus is intrinsically resistant to a broad range of antibiotics, including most antitubercular drugs, and is considered the most pathogenic and chemotherapy-resistant rapidly growing mycobacterium. Consequently, with very limited treatment options, the development of new therapeutic approaches to fight this pathogen are urgently needed. 38 new analogs of Cyclipostins & Cyclophostin (CyC), compounds naturally produced by Streptomyces species, have been synthesized. Their antibacterial activities against clinical isolates belonging to the M. chelonae-abscessus clade, as well as Gram-negative and Gram-positive bacteria have been evaluated by the REMA method. The intracellular activities of the CyC against intramacrophagic M. abscessus have also been investigated and compared to those of imipenem. The CyCs displayed very low toxicity towards host cells and their inhibitory activity was exclusively restricted to mycobacteria. The best candidate, CyC17, showed a high selectivity for mycobacteria with MIC values (<2 up to 40 µg/mL) comparable to those of most classical antibiotics used to treat M. abscessus infections. Of importance, several CyCs were active against extracellular M. abscessus growth (i.e., CyC17 / CyC18β / CyC25 / CyC26) or against intracellular mycobacteria inside macrophages (i.e., CyC7α,β / CyC8α,β) with MIC values similar to or better than those of standard antibiotics. Based on these results, we intended to identify the potential target enzymes of CyC17/CyC26 in M. abscessus by activity-based protein profiling (ABPP) approach coupled with mass spectrometry differential analysis.
HostingRepositoryPRIDE
AnnounceDate2019-09-30
AnnouncementXMLSubmission_2019-09-30_03:18:29.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterLuc Camoin
SpeciesList scientific name: Mycobacterium tuberculosis H37Rv; NCBI TaxID: 83332;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion Lumos; LTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-06-14 01:29:49ID requested
12019-09-30 03:18:31announced
Publication List
Madani A, Ridenour JN, Martin BP, Paudel RR, Abdul Basir A, Le Moigne V, Herrmann JL, Audebert S, Camoin L, Kremer L, Spilling CD, Canaan S, Cavalier JF, . ACS Infect Dis, 5(9):1597-1608(2019) [pubmed]
Keyword List
submitter keyword: Total synthesis
drug susceptibility
activity based-protein profiling
proteomics analysis, anti-mycobacterial agents
Contact List
Luc Camoin
contact affiliationAix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Marseille Protéomique
contact emailluc.camoin@inserm.fr
lab head
Luc Camoin
contact affiliationLife Sciences
contact emailluc.camoin@inserm.fr
dataset submitter
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Dataset FTP location
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