Terminal C(sp3) H alkylation of internal alkenes via Ni/H-catalyzed isomerization

Wang, Zhenyu; Wan, Jia-Hao; Wang, Gao-Yin; Wang, Rui; Jin, Ruo-Xing; Lan, Quan; Wang, Xisheng

doi:10.1016/j.tetlet.2018.05.008

Cited by 33 publications

(9 citation statements)

References 75 publications

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“…Sodium ascorbate and sodium arsenite were considered as selective reducing agents for ─SNO and ─SOH, respectively. 29,30 Likewise, enzymatic reduction of ─SSG by Grxs has been employed to detect S-glutathionylation. 31 Nevertheless, extreme caution is advised when interpreting data obtained from these strategies, as incomplete blocking, reduction, or sample degradation can occur during lengthy sample processing workflows, especially for labile modifications.…”

Section: Indirect Profiling Of Cysteine Oxidationmentioning

confidence: 99%

“…In addition, clear examples of cross-reactivity with other cysteine OxiPTMs indicate that ascorbate and arsenite are far less selective than previously believed. 9,29 In early studies, cysteine OxiPTMs were typically profiled with isotope-coded affinity tag (ICAT)-based platforms; 32,33 however, many recent improvements to this workflow have been made (Figure 2b). Cysteine-reactive isobaric tags have been introduced for multiplexed redox quantitation, reducing run-to-run variance.…”

Section: Indirect Profiling Of Cysteine Oxidationmentioning

confidence: 99%

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Activity-Based Sensing for Site-Specific Proteomic Analysis of Cysteine Oxidation

2019

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Oxidative post-translational modifications (OxiPTMs) of cysteine residues are the molecular foundation of thiol-based redox regulation that modulates physiological events such as cell proliferation, differentiation, and migration and, when dysregulated, can lead to biomolecule damage and cell death. Common OxiPTMs of cysteine thiols (─SH) include reversible modifications such as S-sulfenylation (─SOH), S-glutathionylation (─SSG), disulfide formation (─SSR), S-nitrosylation (─SNO), and S-sulfhydration (─SSH) as well as more biologically stable modifications like S-sulfinylation (─SO 2 H) and S-sulfonylation (─SO 3 H). In the past decade, our laboratory has developed first-in-class chemistry-based tools and proteomic methods to advance the field of thiol-based redox biology and oxidative stress. In this Account, we take the reader through the historical aspects of probe development and application in our laboratory, highlighting key advances in our understanding of sulfur chemistry, in the test tube and in living systems.Offering superior resolution, throughput, accuracy, and reproducibility, mass spectrometry (MS)based proteomics coupled to chemoselective "activity-based" small-molecule probes is the most rigorous technique for global mapping of cysteine OxiPTMs. Herein, we describe the evolution of this field from indirect detection to state-of-the-art site-centric quantitative chemoproteomic approaches that enable mapping of physiological and pathological changes in cysteine oxidation. These methods enable protein and site-level identification, mechanistic studies, mapping foldchanges, and modification stoichiometry. In particular, this Account focuses on activity-based methods for profiling S-sulfenylation, S-sulfinylation, and S-sulfhydration with an eye toward new reactions and methodologies developed in our group as well as their applications that have shed new light on fundamental processes of redox biology. Among several classes of sulfenic acid probes, dimedone-based C-nucleophiles possess superior chemical selectivity and compatibility with tandem MS. Cell-permeable dimedone derivatives with a bioconjugation handle are capable of detecting of S-sulfenylation in living cells. In-depth screening of a C-nucleophile library has yielded several entities with significantly enhanced reactivity over dimedone while maintaining selectivity, and reversible linear C-nucleophiles that enable controlled target release. C-Nucleophiles have also been implemented in tag-switch methods to detect S-sulfhydration. Most recently, activity-based detection of protein S-sulfinylation with electrophilic nitrogen species *

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Section: Indirect Profiling Of Cysteine Oxidationmentioning

confidence: 99%

Section: Indirect Profiling Of Cysteine Oxidationmentioning

confidence: 99%

Activity-Based Sensing for Site-Specific Proteomic Analysis of Cysteine Oxidation

2019

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“…Recently, extensive work has been done on the uncertainty quantification in kinetic analysis and combustion modeling [28][29][30]. Following the idea of uncertainty propagation, the value of α in this study is rate dependent and will be affected by the uncertainty in the rate coefficients, however, such uncertainty will not affect the scaling characteristics and the controlling mechanism identified for the turnover states.…”

Section: Low-temperature Chain Branching Ratio At the Turnover Statementioning

confidence: 99%

On the controlling mechanism of the upper turnover states in the NTC regime

Zhao

et al. 2016

Combustion and Flame

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Using n-butane, n-heptane and iso-octane as representative fuels exhibiting NTC (negative temperature coefficient) behavior, comprehensive computational studies with detailed mechanisms and theoretical analysis were performed to investigate the upper stationary point, denoted as turnover states, on the NTC curve near the higher temperature regime, where the ignition delay τ exhibits a local maximum. It is found that the global behavior of the turnover states exhibits distinctive thermodynamic and kinetic characteristics under different pressures, in that the ignition delay at the turnover states shows an Arrhenius dependence on the temperature T and an approximate inverse quadratic power law dependence on the pressure P. These global behaviors imply that the temperature and pressure of the turnover states are not independent and can be correlated by an Arrhenius dependence, as ln P ∝ 1/T. Further theoretical analyses demonstrate that such turnover states result from the competition between the low-temperature chain branching reactions and the decomposition of the intermediate species, and therefore correspond to a critical value, α, of the ratio of OH production from low-temperature chemistry. In addition, the ignition delay at the turnover state can be well correlated by the analytical expression derived by Peters et al., with the further demonstration that the pressure dependence of the turnover ignition delay mainly result from the H 2 O 2 decomposition reaction. Comparison of the present results with the literature experimental data of n-heptane ignition delay time shows very good agreement.

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“…Different from the traditional wavelet transform, TQWT is based on the oscillatory behavior of the measured signal rather than frequency behavior of the signal, and can adaptively adjust the Q value of the wavelet basis function according to the signal characteristics. Therefore, the degrees of oscillation in the wavelet basis function and in the extracted components of the measured signal can be better matched by using TQWT [23][24][25][26].…”

Section: Tqwt Principlementioning

confidence: 99%

“…Compared with the wavelet transform and Fourier transform, the TQWT is more suitable for analyzing nonstationary signals [23]. Although, there have been several successful applications of bearing fault diagnosis by using TQWT [24], bearing fault diagnosis by combining TQWT and CNN is a relatively unexplored area.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Rolling Bearing Based on Tunable Q-Factor Wavelet Transform and Convolutional Neural Network

Huang

2020

Int. J. Onl. Eng.

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Rolling bearing plays an important role in rotary machines and industrial processes. Effective fault diagnosis technology for rolling bearing directly affects the life and operator safety of the devices. In this paper, a fault diagnosis method based on tunable-Q wavelet transform (TQWT) and convolutional neural network (CNN) is proposed to reduce the influence of noise on bearing vibration signal and the dependence on the experience of traditional diagnosis methods. TQWT is used to decompose and denoise the vibration signal, while the CNN is adopted to extract fault features and carry out fault classification. Seven motor operating conditions—normal, drive end rolling ball failure (DE-B), drive end inner raceway failure (DE-IR), drive end outer raceway failure (DE-OR), fan end rolling ball failure (FE-B), fan end inner raceway fault (FE-IR) and fan end outer raceway fault (FE-OR)—are used to evaluate the proposed approach. The experimental results indicate that the fault diagnosis accuracy of the proposed method reaches 99.8%.

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Terminal C(sp3) H alkylation of internal alkenes via Ni/H-catalyzed isomerization

Cited by 33 publications

References 75 publications

Activity-Based Sensing for Site-Specific Proteomic Analysis of Cysteine Oxidation

Activity-Based Sensing for Site-Specific Proteomic Analysis of Cysteine Oxidation

On the controlling mechanism of the upper turnover states in the NTC regime

Fault Diagnosis of Rolling Bearing Based on Tunable Q-Factor Wavelet Transform and Convolutional Neural Network

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