Discovery of human cell selective effector molecules using single cell multiplexed activity metabolomics.
Discovery of human cell selective effector molecules using single cell multiplexed activity metabolomics.
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DOI:
10.1038/s41467-017-02470-8
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发表时间:
2018-01-02
影响因子:
16.6
通讯作者:
Bachmann BO
中科院分区:
文献类型:
--
作者:
Earl DC;Ferrell PB Jr;Leelatian N;Froese JT;Reisman BJ;Irish JM;Bachmann BO
Discovering bioactive metabolites within a metabolome is challenging because there is generally little foreknowledge of metabolite molecular and cell-targeting activities. Here, single-cell response profiles and primary human tissue comprise a response platform used to discover novel microbial metabolites with cell-type-selective effector properties in untargeted metabolomic inventories. Metabolites display diverse effector mechanisms, including targeting protein synthesis, cell cycle status, DNA damage repair, necrosis, apoptosis, or phosphoprotein signaling. Arrayed metabolites are tested against acute myeloid leukemia patient bone marrow and molecules that specifically targeted blast cells or nonleukemic immune cell subsets within the same tissue biopsy are revealed. Cell-targeting polyketides are identified in extracts from biosynthetically prolific bacteria, including a previously unreported leukemia blast-targeting anthracycline and a polyene macrolactam that alternates between targeting blasts or nonmalignant cells by way of light-triggered photochemical isomerization. High-resolution cell profiling with mass cytometry confirms response mechanisms and is used to validate initial observations. Bioactive metabolites from plant and microbial extracts hold therapeutic potential. Here, the authors combine untargeted metabolomic arrays with flow cytometry-based single cell response profiling and identify metabolites with cell subset-specific activities in the bone marrow from an AML patient.
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影响因子:
2.1
作者:
Du Y;Derewacz DK;Deguire SM;Teske J;Ravel J;Sulikowski GA;Bachmann BO
通讯作者:
Bachmann BO
影响因子:
17.1
作者:
Gaudillière B;Fragiadakis GK;Bruggner RV;Nicolau M;Finck R;Tingle M;Silva J;Ganio EA;Yeh CG;Maloney WJ;Huddleston JI;Goodman SB;Davis MM;Bendall SC;Fantl WJ;Angst MS;Nolan GP
通讯作者:
Nolan GP
影响因子:
3.7
作者:
Ferrell PB Jr;Diggins KE;Polikowsky HG;Mohan SR;Seegmiller AC;Irish JM
通讯作者:
Irish JM
影响因子:
78.5
作者:
Irish, JM;Kotecha, N;Nolan, GP
通讯作者:
Nolan, GP
影响因子:
64.8
作者:
FOTSIS, T;ZHANG, YM;SCHWEIGERER, L
通讯作者:
SCHWEIGERER, L