Galactostatin
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| Category | Enzyme inhibitors |
| Catalog number | BBF-01863 |
| CAS | 107537-94-0 |
| Molecular Weight | 179.17 |
| Molecular Formula | C6H13NO5 |
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Description
It is an α and β-galactosidase inhibitor.
Specification
| Synonyms | 5-Galactosamine; 5-Amino-5-deoxygalactopyranose; 5-Amino-5-deoxy-D-galactopyranose; 5-O-Aza-D-galactopyranose |
| IUPAC Name | (3R,4S,5S,6R)-6-(hydroxymethyl)piperidine-2,3,4,5-tetrol |
| Canonical SMILES | C(C1C(C(C(C(N1)O)O)O)O)O |
| InChI | InChI=1S/C6H13NO5/c8-1-2-3(9)4(10)5(11)6(12)7-2/h2-12H,1H2/t2-,3+,4+,5-,6?/m1/s1 |
| InChI Key | BGMYHTUCJVZIRP-SVZMEOIVSA-N |
Properties
| Appearance | Amorphous Powder |
| Boiling Point | 394.3°C at 760 mmHg |
| Melting Point | 94-98°C |
| Density | 1.643 g/cm3 |
| Solubility | Soluble in Methanol, Acetic acid, Pyridine, DMSO |
Reference Reading
1. Multiplex Fluorescent, Activity-Based Protein Profiling Identifies Active α-Glycosidases and Other Hydrolases in Plants
Amjad M Husaini, Kyoko Morimoto, Balakumaran Chandrasekar, Steven Kelly, Farnusch Kaschani, Daniel Palmero, Jianbing Jiang, Markus Kaiser, Oussama Ahrazem, Hermen S Overkleeft, Renier A L van der Hoorn Plant Physiol. 2018 May;177(1):24-37. doi: 10.1104/pp.18.00250. Epub 2018 Mar 19.
With nearly 140 α-glycosidases in 14 different families, plants are well equipped with enzymes that can break the α-glucosidic bonds in a large diversity of molecules. Here, we introduce activity-based protein profiling (ABPP) of α-glycosidases in plants using α-configured cyclophellitol aziridine probes carrying various fluorophores or biotin. In Arabidopsis (Arabidopsis thaliana), these probes label members of the GH31 family of glycosyl hydrolases, including endoplasmic reticulum-resident α-glucosidase-II Radial Swelling3/Priority for Sweet Life5 (RSW3/PSL5) and Golgi-resident α-mannosidase-II Hybrid Glycosylation1 (HGL1), both of which trim N-glycans on glycoproteins. We detected the active state of extracellular α-glycosidases such as α-xylosidase XYL1, which acts on xyloglucans in the cell wall to promote cell expansion, and α-glucosidase AGLU1, which acts in starch hydrolysis and can suppress fungal invasion. Labeling of α-glycosidases generates pH-dependent signals that can be suppressed by α-glycosidase inhibitors in a broad range of plant species. To demonstrate its use on a nonmodel plant species, we applied ABPP on saffron crocus (Crocus sativus), a cash crop for the production of saffron spice. Using a combination of biotinylated glycosidase probes, we identified and quantified 67 active glycosidases in saffron crocus stigma, of which 10 are differentially active. We also uncovered massive changes in hydrolase activities in the corms upon infection with Fusarium oxysporum using multiplex fluorescence labeling in combination with probes for serine hydrolases and cysteine proteases. These experiments demonstrate the ease with which active α-glycosidases and other hydrolases can be analyzed through ABPP in model and nonmodel plants.
2. Inhibitor Discovery by Convolution ABPP
Balakumaran Chandrasekar, Tram Ngoc Hong, Renier A L van der Hoorn Methods Mol Biol. 2017;1491:47-56. doi: 10.1007/978-1-4939-6439-0_4.
Activity-based protein profiling (ABPP) has emerged as a powerful proteomic approach to study the active proteins in their native environment by using chemical probes that label active site residues in proteins. Traditionally, ABPP is classified as either comparative or competitive ABPP. In this protocol, we describe a simple method called convolution ABPP, which takes benefit from both the competitive and comparative ABPP. Convolution ABPP allows one to detect if a reduced signal observed during comparative ABPP could be due to the presence of inhibitors. In convolution ABPP, the proteomes are analyzed by comparing labeling intensities in two mixed proteomes that were labeled either before or after mixing. A reduction of labeling in the mix-and-label sample when compared to the label-and-mix sample indicates the presence of an inhibitor excess in one of the proteomes. This method is broadly applicable to detect inhibitors in proteomes against any proteome containing protein activities of interest. As a proof of concept, we applied convolution ABPP to analyze secreted proteomes from Pseudomonas syringae-infected Nicotiana benthamiana leaves to display the presence of a beta-galactosidase inhibitor.
3. Characterization of two β-galactosidases LacZ and WspA1 from Nostoc flagelliforme with focus on the latter's central active region
Xiang Gao, Litao Liu, Lijuan Cui, Tao Zheng, Boyang Ji, Ke Liu Sci Rep. 2021 Sep 16;11(1):18448. doi: 10.1038/s41598-021-97929-6.
The identification and characterization of new β-galactosidases will provide diverse candidate enzymes for use in food processing industry. In this study, two β-galactosidases, Nf-LacZ and WspA1, from the terrestrial cyanobacterium Nostoc flagelliforme were heterologously expressed in Escherichia coli, followed by purification and biochemical characterization. Nf-LacZ was characterized to have an optimum activity at 40 °C and pH 6.5, different from that (45 °C and pH 8.0) of WspA1. Two enzymes had a similar Michaelis constant (Km = 0.5 mmol/liter) against the substrate o-nitrophenyl-β-D-galactopyranoside. Their activities could be inhibited by galactostatin bisulfite, with IC50 values of 0.59 µM for Nf-LacZ and 1.18 µM for WspA1, respectively. Gel filtration analysis suggested that the active form of WspA1 was a dimer, while Nf-LacZ was functional as a larger multimer. WspA1 was further characterized by the truncation test, and its minimum central region was found to be from residues 188 to 301, having both the glycosyl hydrolytic and transgalactosylation activities. Finally, transgenic analysis with the GFP reporter protein found that the N-terminus of WspA1 (35 aa) might play a special role in the export of WspA1 from cells. In summary, this study characterized two cyanobacterial β-galactosidases for potential applications in food industry.
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Bio Calculators
* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳
