RMR-Tre 

RMR-Tre is a fluorescent probe targeting the mycobacterial acyltransferase Ag85. Under the catalysis of Ag85, RMR-Tre undergoes 6-position mycoloylation and anchors to the mycobacterial membrane, while achieving fluorescence activation by inhibiting the intramolecular twisted charge transfer state transition. RMR-Tre can distinguish live mycobacteria from dead ones through metabolism-driven labeling, enabling rapid, wash-free, low-background detection of viable bacteria. RMR-Tre reports the drug resistance of Mycobacterium tuberculosis via the trehalose catalytic shift activity readout associated with TreS. In addition, RMR-Tre can be combined with flow cytometry or high-content imaging techniques to visualize and quantitatively analyze the metabolic heterogeneity of Mycobacterium tuberculosis related to persistence and drug resistance. RMR-Tre is widely used in tuberculosis-related research^[1][2].

RMR-Tre (1 μM-1 mM; 5 min-16 h) 可时间和浓度依赖性地标记活耻垢分枝杆菌 (M. smegmatis)，且不会抑制细菌生长；在 100 μM 作用 4 h 的条件下，其荧光增强倍数可达 2000 倍以上^[1]。
RMR-Tre (100 μM; 4 h) 可通过代谢驱动的掺入特异性标记活的耻垢分枝杆菌，从而实现活的与死的耻垢分枝杆菌的区分^[1]。
RMR-Tre (100 μM; 30 min-4 h) 在活耻垢分枝杆菌中的掺入主要由 Ag85 分枝菌酰转移酶活性介导，这一点已被 Ebselen (HY-13750) 的抑制作用以及 Ag85 缺陷突变细胞中标记减少的实验结果证实^[1]。
RMR-Tre (100 μM; 4 h) 对含分枝菌膜的细菌种类具有高特异性，可高效标记耻垢分枝杆菌 (M. smegmatis) 和谷氨酸棒杆菌 (Corynebacterium glutamicum)，但无法标记缺乏分枝菌膜的大肠杆菌 (Escherichia coli) 或枯草芽孢杆菌 (Bacillus subtilis)^[1]。
RMR-Tre (100 μM; 10 min-60 min) 可实现活耻垢分枝杆菌的免洗涤快速荧光显微镜标记，孵育后最早 10 min 即可产生亮度高、定位明确且背景低的荧光^[1]。
RMR-Tre 可实现对与结核分枝杆菌持留性及耐药性相关的代谢异质性的可视化与定量分析，其中高标记细胞亚群与 TreS 活性升高、持留菌生理状态及抗生素存活能力增强相关，且耐药菌株的高标记细胞基线占比更高^[2]。

MCE has not independently confirmed the accuracy of these methods. They are for reference only.

686.73

C₃₂H₃₈N₄O₁₁S

Room temperature in continental US; may vary elsewhere.

Please store the product under the recommended conditions in the Certificate of Analysis.

• [1]. Banahene N, et al. A Far-Red Molecular Rotor Fluorogenic Trehalose Probe for Live Mycobacteria Detection and Drug-Susceptibility Testing. Angew Chem Int Ed Engl. 2023;62(2):e202213563.  [Content Brief]

  [2]. Lee J J, et al. Diagnostic Biomarker Candidate Discovery using Metabolomics of the Latent Mycobacterium tuberculosis[J]. Journal of Bacteriology and Virology, 2025, 55(4): 281-297.