Abstract:Thionitrous acid (HSNO), the smallest S‐nitrosothiol, is emerging as a potential key intermediate in cellular redox regulation linking two signaling molecules H2S and NO. However, the chemical biology of HSNO remains poorly understood. A major hurdle is the lack of methods for selective detection of HSNO in biological systems. Herein, we report the rational design, synthesis, and evaluation of the first fluorescent probe TAP‐1 for HSNO detection. TAP‐1 showed high selectivity and sensitivity to HSNO in aqueous… Show more
“…The equilibrium between these two forms allows fluorescence to be switched on and off by analytes with high sensitivity. [10][11][12] In particular, the free À OH group in the 'ring-closed' form is often used as the analyte-specific triggering handle in the design of reactionbased fluorescent sensors. The emission wavelengths of most reported xanthene dyes are in the range of 500-600 nm (green to red fluorescence) and their Stokes shifts are usually less than 30 nm.…”
Section: Target Selection and Database Constructionmentioning
A large number of xanthene-based fluorescent dyes have been reported with unique photophysical properties. Further development of this group of useful chemicals processes challenges due to the massive amount of discrete data and unavoidable human errors in analyzing the data. Given recent advances in data analysis techniques, we integrated machine learning methods with a chemical database to assist identification of useful xanthene dyes in this study. Based on the xanthene dye database a machine learning model (named ATTRNN) was developed and applied in predicting excitation and emission wavelengths of six new dyes. The comparison of machine learning prediction with time-dependent density functional theory (TD-DFT) calculation, as well as experimental validation demonstrated the usefulness of ATTRNN. Moreover, the new dyes were used to develop fluorescent sensors for hydrogen sulfide and cysteine, which further proved the value of datadriven dye discovery.
“…The equilibrium between these two forms allows fluorescence to be switched on and off by analytes with high sensitivity. [10][11][12] In particular, the free À OH group in the 'ring-closed' form is often used as the analyte-specific triggering handle in the design of reactionbased fluorescent sensors. The emission wavelengths of most reported xanthene dyes are in the range of 500-600 nm (green to red fluorescence) and their Stokes shifts are usually less than 30 nm.…”
Section: Target Selection and Database Constructionmentioning
A large number of xanthene-based fluorescent dyes have been reported with unique photophysical properties. Further development of this group of useful chemicals processes challenges due to the massive amount of discrete data and unavoidable human errors in analyzing the data. Given recent advances in data analysis techniques, we integrated machine learning methods with a chemical database to assist identification of useful xanthene dyes in this study. Based on the xanthene dye database a machine learning model (named ATTRNN) was developed and applied in predicting excitation and emission wavelengths of six new dyes. The comparison of machine learning prediction with time-dependent density functional theory (TD-DFT) calculation, as well as experimental validation demonstrated the usefulness of ATTRNN. Moreover, the new dyes were used to develop fluorescent sensors for hydrogen sulfide and cysteine, which further proved the value of datadriven dye discovery.
“…Results of the dyes' characterization are provided below. 4.55(4H, t, J = 6.8 Hz), 4.87(4H, q, J = 6.9 Hz), 6.55(2H, b s), 7.37(1H, t, J = 7.7 Hz), 7.56(1H, t, J = 7.9 Hz), 7…”
Section: Synthesis Of the Dyesmentioning
confidence: 99%
“…There are many fluorescent dyes with different structures, which can be successfully used for the detection and visualization of various biomolecules. Recent studies include, for example, a fluorescent probe with a fluorescein-based fluorophore for detection of thionitrous acid in aqueous medium and cells [4], and a sulfilimine-based fluorescent probe for the specific detection and quantifying of hypobromous acid [5]. It is also worth mentioning the design of a two-photon styryl fluorescent probe for real-time monitoring the changes in the activity of acetylcholinesterase in the brain in vivo [6].…”
Benzothiazole based cyanine dyes with bridged groups in the pentamethine chain were studied as potential far-red fluorescent probes for protein detection. Spectral-luminescent properties were characterized for unbound dyes and in the presence of serum albumins (bovine (BSA), human (HSA), equine (ESA)), and globular proteins (β-lactoglobulin, ovalbumin). We have observed that the addition of albumins leads to a significant increase in dyes fluorescence intensity. However, the fluorescent response of dyes in the presence of other globular proteins was notably lower. The value of fluorescence quantum yield for dye bearing a sulfonate group complexed with HSA amounted to 42% compared with 0.2% for the free dye. The detection limit of HSA by this dye was greater than 0.004 mg ml
−1
which indicates the high sensitivity of dye to low HSA concentrations. Modelling of structure of the dyes complexes with albumin molecules was performed by molecular docking. According to these data, dyes could bind to up to five sites on the HSA molecule; the most preferable are the haemin-binding site in subdomain IB and the dye-binding site in the pocket between subdomains IA, IIA and IIIA. This work confirms that pentamethine cyanine dyes could be proposed as powerful far-red fluorescent probes applicable for highly sensitive detection of albumins.
“…Thionitrous acid (HSNO), the smallest RSNOs, has received particular attention as a potential key intermediate in cellular redox regulation, linking two signaling molecules, hydrogen sulfide (H2S) and NO. 4,5 Hypobromous acid (HOBr) is regarded as a reactive bromine species (RBS) with effective antibacterial properties among the endogenous reactive oxygen species. It is thought to be a key component of the neutrophil defense system.…”
Section: Introductionmentioning
confidence: 99%
“…Fig 5. Compounds of importance when predicting TACDMPD of P. atlantica extracts, shown on (a) an overlay chromatogram, as evaluated using (b) regression coefficients of PLS after column centering, (c) regression coefficients of PLS after normalization and column centering, and (d) regression coefficients of PLS after standard normal variate and column centering.…”
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