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Sarcosine
Sarcosine
ChemFaces products have been cited in many studies from excellent and top scientific journals
Product Name Sarcosine
Price: $30 / 20mg
CAS No.: 107-97-1
Catalog No.: CFN90603
Molecular Formula: C3H7NO2
Molecular Weight: 89.09 g/mol
Purity: >=98%
Type of Compound: Alkaloids
Physical Desc.: Powder
Source: The barks of Quillaia saponaria.
Solvent: Chloroform, Dichloromethane, Ethyl Acetate, DMSO, Acetone, etc.
Download: COA    MSDS    SDF
Similar structural: Comparison
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According to end customer requirements, ChemFaces provide solvent format. This solvent format of product intended use: Signaling Inhibitors, Biological activities or Pharmacological activities.
Size /Price /Stock 10 mM * 1 mL in DMSO / $5.1 / In-stock
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Related Screening Libraries
Size /Price /Stock 10 mM * 100 uL in DMSO / Inquiry / In-stock
10 mM * 1 mL in DMSO / Inquiry / In-stock
Related Libraries
Biological Activity
Description: Sarcosine is a competitive inhibitor of the type I glycine transporter (GlyT1) and an N-methyl-D-aspartate receptor (NMDAR) co-agonist, it preconditioning induces ischemic tolerance against global cerebral ischemia and this neuroprotective state is associated with changes in glycine transport and reduction of NR2B-containing NMDAR expression.Sarcosine modulates endothelial cell function relevant to angiogenesis through modulation of PI3K/Akt/mTOR pathway.
Targets: PI3K | mTOR | Akt | NMDAR | GlyT
In vitro:
J Cancer Res Ther. 2014 Jul-Sep;10(3):603-10.
Effect of sarcosine on endothelial function relevant to angiogenesis.[Pubmed: 25313747]
Endothelial cells (ECs) respond to changes in metabolic status and switch over to angiogenic phenotype. There are several metabolites known to mediate this transition; however, the effect of Sarcosine that accumulates in invasive prostate cancer is not known. The objective of the study was to examine whether Sarcosine influences EC function and affects angiogenesis.
METHODS AND RESULTS:
The effect of Sarcosine was studied using different model systems including chick chorioallantoic membrane (CAM), rat aortic rings in culture, and human umbilical vein ECs (HUVECs) in culture. The statistical significance of difference was analyzed by one-way analysis of variance (ANOVA) and Student's t-test using GraphPad 5 software. Increased vascularization in CAM, increased endothelial sprouting in rat aortic rings in culture, and increased expression of CD31 and E-selectin suggested a possible angiogenic effect of Sarcosine. Sarcosine modulated expression of angiogenic growth factors such as vascular endothelial growth factor (VEGF) and fibroblast growth factor (FGF). In ECs in culture LY294002, an inhibitor of phosphatidylinositol-3-kinase (PI3K)/Akt pathway and rapamycin, an inhibitor of mammalian target of rapamycin (mTOR) reversed the effect of Sarcosine. Further, Sarcosine induced upregulation and activation of Akt in HUVECs.
CONCLUSIONS:
These results suggest that Sarcosine modulates EC function relevant to angiogenesis through modulation of PI3K/Akt/mTOR pathway.
In vivo:
Anticancer Res. 2015 Feb;35(2):1017-23.
Improving the prediction of pathologic outcomes in patients undergoing radical prostatectomy: the value of prostate cancer antigen 3 (PCA3), prostate health index (phi) and sarcosine.[Pubmed: 25667489]
Several efforts have been made to find biomarkers that could help clinicians to preoperatively determine prostate cancer (PCa) pathological characteristics and choose the best therapeutic approach, avoiding over-treatment. On this effort, prostate cancer antigen 3 (PCA3), prostate health index (phi) and Sarcosine have been presented as promising tools. We evaluated the ability of these biomarkers to predict the pathologic PCa characteristics within a prospectively collected contemporary cohort of patients who underwent radical prostatectomy (RP) for clinically localized PCa at a single high-volume Institution.
METHODS AND RESULTS:
The prognostic performance of PCA3, phi and Sarcosine were evaluated in 78 patients undergoing RP for biopsy-proven PCa. Receiver operating characteristic (ROC) curve analyses tested the accuracy (area under the curve (AUC)) in predicting PCa pathological characteristics. Decision curve analyses (DCA) were used to assess the clinical benefit of the three biomarkers. We found that PCA3, phi and Sarcosine levels were significantly higher in patients with tumor volume (TV)≥0.5 ml, pathologic Gleason sum (GS)≥7 and pT3 disease (all p-values≤0.01). ROC curve analysis showed that phi is an accurate predictor of high-stage (AUC 0.85 [0.77-0.93]), high-grade (AUC 0.83 [0.73-0.93]) and high-volume disease (AUC 0.94 [0.88-0.99]). Sarcosine showed a comparable AUC (0.85 [0.76-0.94]) only for T3 stage prediction, whereas PCA3 score showed lower AUCs, ranging from 0.74 (for GS) to 0.86 (for TV).
CONCLUSIONS:
PCA3, phi and Sarcosine are predictors of PCa characteristics at final pathology. Successful clinical translation of these findings would reduce the frequency of surveillance biopsies and may enhance acceptance of active surveillance (AS).
Neuroscience. 2014 Jun 20;271:160-9.
Sarcosine preconditioning induces ischemic tolerance against global cerebral ischemia.[Pubmed: 24797328]
Brain ischemic tolerance is an endogenous protective mechanism activated by a preconditioning stimulus that is closely related to N-methyl-d-aspartate receptor (NMDAR). Glycine transporter type 1 (GlyT-1) inhibitors potentiate NMDAR and suggest an alternative strategy for brain preconditioning.
METHODS AND RESULTS:
The aim of this work was to evaluate the effects of brain preconditioning induced by Sarcosine, a GlyT-1 inhibitor, against global cerebral ischemia and its relation to NMDAR. Sarcosine was administered over 7 days (300 or 500 mg/kg/day, ip) before the induction of a global cerebral ischemia model in Wistar rats (male, 8-week-old). It was observed that Sarcosine preconditioning reduced cell death in rat hippocampi submitted to cerebral ischemia. Hippocampal levels of glycine were decreased in Sarcosine-treated animals, which was associated with a reduction of [(3)H] glycine uptake and a decrease in glycine transporter expression (GlyT-1 and GlyT-2). The expression of glycine receptors and the NR1 and NR2A subunits of NMDAR were not affected by Sarcosine preconditioning. However, Sarcosine preconditioning reduced the expression of the NR2B subunits of NMDAR.
CONCLUSIONS:
In conclusion, these data demonstrate that Sarcosine preconditioning induces ischemic tolerance against global cerebral ischemia and this neuroprotective state is associated with changes in glycine transport and reduction of NR2B-containing NMDAR expression.
Sarcosine Description
Source: The barks of Quillaia saponaria.
Solvent: Chloroform, Dichloromethane, Ethyl Acetate, DMSO, Acetone, etc.
Storage: Providing storage is as stated on the product vial and the vial is kept tightly sealed, the product can be stored for up to 24 months(2-8C).

Wherever possible, you should prepare and use solutions on the same day. However, if you need to make up stock solutions in advance, we recommend that you store the solution as aliquots in tightly sealed vials at -20C. Generally, these will be useable for up to two weeks. Before use, and prior to opening the vial we recommend that you allow your product to equilibrate to room temperature for at least 1 hour.

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After receiving: The packaging of the product may have turned upside down during transportation, resulting in the natural compounds adhering to the neck or cap of the vial. take the vial out of its packaging and gently shake to let the compounds fall to the bottom of the vial. for liquid products, centrifuge at 200-500 RPM to gather the liquid at the bottom of the vial. try to avoid loss or contamination during handling.
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Calculate Dilution Ratios(Only for Reference)
1 mg 5 mg 10 mg 20 mg 25 mg
1 mM 11.2246 mL 56.123 mL 112.246 mL 224.4921 mL 280.6151 mL
5 mM 2.2449 mL 11.2246 mL 22.4492 mL 44.8984 mL 56.123 mL
10 mM 1.1225 mL 5.6123 mL 11.2246 mL 22.4492 mL 28.0615 mL
50 mM 0.2245 mL 1.1225 mL 2.2449 mL 4.4898 mL 5.6123 mL
100 mM 0.1122 mL 0.5612 mL 1.1225 mL 2.2449 mL 2.8062 mL
* Note: If you are in the process of experiment, it's need to make the dilution ratios of the samples. The dilution data of the sheet for your reference. Normally, it's can get a better solubility within lower of Concentrations.
Protocol
Structure Identification:
J Transl Med. 2014 May 28;12:149.
Implications of differences in expression of sarcosine metabolism-related proteins according to the molecular subtype of breast cancer.[Pubmed: 24884785]
The goal of this study was to investigate the expression of Sarcosine metabolism-related proteins, namely glycine N-methyltransferase (GNMT), Sarcosine dehydrogenase (SARDH), and l-pipecolic acid oxidase (PIPOX), in the different breast cancer subtypes and to assess the implications of differences in expression pattern according to subtype.
METHODS AND RESULTS:
Sarcosine metabolism phenotype was stratified according to IHC results for GNMT, SARDH, and PIPOX: GNMT(+), SARDH and PIPOX(-) was classified as high Sarcosine type; GNMT(-), SARDH or PIPOX(-) as low Sarcosine type; GNMT(+), SARDH or PIPOX(+) as intermediate Sarcosine type, and GNMT(-), SARDH and PIPOX(-) as null type. Expression of Sarcosine metabolism-related proteins differed significantly according to breast cancer subtype (GNMT, p=0.005; SARDH, p=0.012; tumoral PIPOX, p=0.008; stromal PIPOX, p<0.001). These proteins were the most frequently expressed in HER-2 type tumors and the least in TNBC. Sarcosine metabolism phenotype also varied according to breast cancer subtype, with high Sarcosine type the most common in HER-2, and null type the most common in TNBC (p=0.003). Univariate analysis revealed that GNMT expression (p=0.042), tumoral PIPOX negativity (p=0.039), and high Sarcosine type (p=0.021) were associated with shorter disease-free survival (DFS). Multivariate analysis also revealed GNMT expression was an independent factor for shorter DFS (hazard ratio: 2.408, 95% CI: 1.154-5.024, p=0.019).
CONCLUSIONS:
Expressions of Sarcosine metabolism-related proteins varied according to subtype of breast cancer, with HER-2 type tumors showing elevated expression of these proteins, and TNBC subtype showing decreased expression of these proteins. Expression of Sarcosine metabolism-related proteins was also associated with breast cancer prognosis.
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