Literature DB >> 24101248

A fast and simple approach to the quantitative evaluation of fibrinogen coagulation.

Weixuan Chen1, Danzhu Wang, Nanting Ni, Minyong Li, Yidan Liu, Binghe Wang.   

Abstract

Fibrinogen is essential in the intrinsic and extrinsic blood coagulation process. Inhibition of fibrinogen aggregation could lead to anticoagulation effects. The availability of methods for easy quantitative evaluation of the coagulation process is critical to studying coagulation and its inhibition. A commonly used method is UV-Vis absorbance (405 nm) detection by a micro-plate reader. However, because of the heterogeneous nature of the resulting mixture in a coagulation process, transmission-based optical measurements give large variations. Herein, a very simple and easy method is developed for the quantitative measurements of the coagulation process. The method was validated using three known thrombin inhibitors: 4-(2-aminoethyl) benzenesulfonyl fluoride (IC50: 0.01 mM), p-amidinophenyl methanesulfonyl fluoride (IC50: 0.18 mM) and PMSF (IC50: 0.23 mM).

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Year:  2013        PMID: 24101248      PMCID: PMC3947019          DOI: 10.1007/s10529-013-1365-5

Source DB:  PubMed          Journal:  Biotechnol Lett        ISSN: 0141-5492            Impact factor:   2.461


  15 in total

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Journal:  Biophys J       Date:  2000-07       Impact factor: 4.033

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Journal:  J Pharmacol Exp Ther       Date:  1969-05       Impact factor: 4.030

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Journal:  Thromb Res       Date:  1988-12-01       Impact factor: 3.944

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Journal:  Toxicon       Date:  1994-09       Impact factor: 3.033

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Journal:  J Biol Chem       Date:  1979-10-25       Impact factor: 5.157

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Authors:  R R Hantgan; J Hermans
Journal:  J Biol Chem       Date:  1979-11-25       Impact factor: 5.157

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Journal:  Anal Biochem       Date:  1987-11-01       Impact factor: 3.365

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Journal:  Biochemistry       Date:  1980-10-14       Impact factor: 3.162

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  1 in total

1.  A Strategy for Rapid Discovery of Marker Peptides Associated with Fibrinolytic Efficacy of Pheretima aspergillum Based on Bioinformatics Combined with Parallel Reaction Monitoring.

Authors:  Ting-Ting Feng; Jing-Xian Zhang; Yong-Peng Zhang; Jian Sun; Hong Yu; Xiang Tao; Xiu-Hong Mao; Qing Hu; Shen Ji
Journal:  Molecules       Date:  2022-04-20       Impact factor: 4.927

  1 in total

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