Identifying Dormant Growth State of Mycobacteria by Orthogonal Analytical Approaches on a Single Cell and Ensemble Basis.
Identifying Dormant Growth State of Mycobacteria by Orthogonal Analytical Approaches on a Single Cell and Ensemble Basis.
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基于单细胞和整体的正交分析方法识别分枝杆菌的休眠生长状态
DOI:
10.1021/acs.analchem.8b03646
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发表时间:
2019
影响因子:
7.4
通讯作者:
Wieser
中科院分区:
文献类型:
--
作者:
Neumann;Hoelscher;Haisch;Wieser
Tuberculosis is currently the single most deadly infectious disease in the world and a public health priority as defined by WHO. Although the disease is in general curable, treatment success is hampered by the necessity of a long and side effect prone treatment. Low treatment efficiency may be partly due to the special growth states that mycobacteria enter to avoid being killed by antibiotics and to persist longer within the host. Such growth states have been recently defined as dormant or persistent. We produced dormant model-organism cultures using an acidification model and characterized those by a multilayered approach using mass spectrometry (MALDI-TOF), microscopy (SEM, Raman), and microbiological techniques (CFU, OD600, ATP-levels). With a fast and 96-well-adapted extraction protocol, mycobacteria could be inactivated and extracted for MALDI-TOF analysis. For the first time, we demonstrate growth-state-dependent changes in the mass signatures of the culture, allowing for a reliable differentiation of dormant state and exponential growth. We also demonstrate resuscitation from dormant state back to exponential growth. Viable mycobacteria were immobilized, and single organisms were analyzed individually by Raman microscopy. For single-cell Raman microscopy,Mycobacterium smegmatiscultures were fixed using a new fast and gentle single-step immobilization technique on a hydrophobic glass slide. We were able to distinguish single viable bacteria in the dormant state from their rapidly growing, genetically identical counterparts, identifying the growth state of the culture based on single-organism spectra. This allows for the separation of heterogeneous cultures depending on their growth state using the destruction-free optical method of Raman microscopy.
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影响因子:
5.4
作者:
Shiloh, Michael U.;Champion, Patricia A. DiGiuseppe
通讯作者:
Champion, Patricia A. DiGiuseppe
影响因子:
3.7
作者:
El Khéchine A;Couderc C;Flaudrops C;Raoult D;Drancourt M
通讯作者:
Drancourt M
影响因子:
3.4
作者:
A. Silge;E. Abdou;Kilian R. A. Schneider;S. Meisel;T. Bocklitz;Hui;R. Heintzmann;P. Rösch;J. Popp
通讯作者:
J. Popp
影响因子:
48
作者:
Schindelin, Johannes;Arganda-Carreras, Ignacio;Frise, Erwin;Kaynig, Verena;Longair, Mark;Pietzsch, Tobias;Preibisch, Stephan;Rueden, Curtis;Saalfeld, Stephan;Schmid, Benjamin;Tinevez, Jean-Yves;White, Daniel James;Hartenstein, Volker;Eliceiri, Kevin;Tomancak, Pavel;Cardona, Albert
通讯作者:
Cardona, Albert
影响因子:
2.2
作者:
Rabodoarivelo, Marie Sylvianne;Aerts, Maarten;Martin, Anandi
通讯作者:
Martin, Anandi