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7,22,25-Stigmastatrienol

$852

  • Brand : BIOFRON

  • Catalogue Number : BD-P0277

  • Specification : 98.0%(HPLC)

  • CAS number : 14485-48-4

  • Formula : C29H46O

  • Molecular Weight : 410.7

  • PUBCHEM ID : 5283656

  • Volume : 5mg

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Catalogue Number

BD-P0277

Analysis Method

Specification

98.0%(HPLC)

Storage

2-8°C

Molecular Weight

410.7

Appearance

Botanical Source

Structure Type

Category

SMILES

CCC(C=CC(C)C1CCC2C1(CCC3C2=CCC4C3(CCC(C4)O)C)C)C(=C)C

Synonyms

(3S,5S,9R,10S,13R,14R,17R)-17-[(2R,3E,5R)-5-ethyl-6-methylhepta-3,6-dien-2-yl]-10,13-dimethyl-2,3,4,5,6,9,11,12,14,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-3-ol

IUPAC Name

(3S,5S,9R,10S,13R,14R,17R)-17-[(2R,3E,5R)-5-ethyl-6-methylhepta-3,6-dien-2-yl]-10,13-dimethyl-2,3,4,5,6,9,11,12,14,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-3-ol

Applications

Density

0.99g/cm3

Solubility

Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.

Flash Point

219.6ºC

Boiling Point

504.3ºC at 760mmHg

Melting Point

InChl

InChl Key

IMWBKGMKWXIXEQ-FXIAWGAOSA-N

WGK Germany

RID/ADR

HS Code Reference

Personal Projective Equipment

Correct Usage

For Reference Standard and R&D, Not for Human Use Directly.

Meta Tag

provides coniferyl ferulate(CAS#:14485-48-4) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

No Technical Documents Available For This Product.

PMID

28198466

Abstract

Quantum information processors promise fast algorithms for problems inaccessible to classical computers. But since qubits are noisy and error-prone, they will depend on fault-tolerant quantum error correction (FTQEC) to compute reliably. Quantum error correction can protect against general noise if—and only if—the error in each physical qubit operation is smaller than a certain threshold. The threshold for general errors is quantified by their diamond norm. Until now, qubits have been assessed primarily by randomized benchmarking, which reports a different error rate that is not sensitive to all errors, and cannot be compared directly to diamond norm thresholds. Here we use gate set tomography to completely characterize operations on a trapped-Yb+-ion qubit and demonstrate with greater than 95% confidence that they satisfy a rigorous threshold for FTQEC (diamond norm ≤6.7 × 10−4).

Title

Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography

Author

Robin Blume-Kohout,1 John King Gamble,a,1 Erik Nielsen,2 Kenneth Rudinger,1 Jonathan Mizrahi,2,* Kevin Fortier,2 and Peter Maunz2

Publish date

2017;

PMID

31597940

Abstract

The endoplasmic reticulum (ER) is a multi functional organelle and plays a crucial role in protein folding and lipid biosynthesis. The SEC59 gene encodes dolichol kinase, required for protein glycosylation in the ER. The mutation of sec59-1 caused a protein N-glycosylation defect mediated ER stress resulting in increased levels of phospholipid, neutral lipid and sterol, whereas growth was reduced. In the sec59-1∆ cell, the N-glycosylation of vacuolar carboxy peptidase-Y (CPY) was significantly reduced; whereas the ER stress marker Kar2p and unfolded protein response (UPR) were significantly increased. Increased levels of Triacylglycerol (TAG), sterol ester (SE), and lipid droplets (LD) could be attributed to up-regulation of DPP1, LRO1, and ARE2 in the sec 59-1∆ cell. Also, the diacylglycerol (DAG), sterol (STE), and free fatty acids (FFA) levels were significantly increased, whereas the genes involved in peroxisome biogenesis and Pex3-EGFP levels were reduced when compared to the wild-type. The microarray data also revealed increased expression of genes involved in phospholipid, TAG, fatty acid, sterol synthesis, and phospholipid transport resulting in dysregulation of lipid homeostasis in the sec59-1∆ cell. We conclude that SEC59 dependent N-glycosylation is required for lipid homeostasis, peroxisome biogenesis, and ER protein quality control.

Subject terms: Biochemistry, Glycobiology

Title

Crosstalk between protein N-glycosylation and lipid metabolism in Saccharomyces cerevisiae

Author

Antonisamy William James,1 Chidambaram Ravi,1 Malathi Srinivasan,2 and Vasanthi Nachiappancorresponding author1

Publish date

2019;

PMID

29101348

Abstract

Fatty liver disease (FLD) increases the risk of diabetes, cardiovascular disease, and steatohepatitis, which leads to fibrosis, cirrhosis, and hepatocellular carcinoma. Thus, the early detection of FLD is necessary. We aimed to find a quantitative and feasible model for discriminating the FLD, based on plasma free amino acid (PFAA) profiles. We constructed models of the relationship between PFAA levels in 2,000 generally healthy Japanese subjects and the diagnosis of FLD by abdominal ultrasound scan by multiple logistic regression analysis with variable selection. The performance of these models for FLD discrimination was validated using an independent data set of 2,160 subjects. The generated PFAA-based model was able to identify FLD patients. The area under the receiver operating characteristic curve for the model was 0.83, which was higher than those of other existing liver function-associated markers ranging from 0.53 to 0.80. The value of the linear discriminant in the model yielded the adjusted odds ratio (with 95% confidence intervals) for a 1 standard deviation increase of 2.63 (2.14-3.25) in the multiple logistic regression analysis with known liver function-associated covariates. Interestingly, the linear discriminant values were significantly associated with the progression of FLD, and patients with nonalcoholic steatohepatitis also exhibited higher values.

Title

Plasma amino acid profile associated with fatty liver disease and co-occurrence of metabolic risk factors

Author

Minoru Yamakado,1 Takayuki Tanaka,2 Kenji Nagao,corresponding author2 Akira Imaizumi,2 Michiharu Komatsu,3 Takashi Daimon,4 Hiroshi Miyano,2 Mizuki Tani,1 Akiko Toda,1 Hiroshi Yamamoto,2 Katsuhisa Horimoto,5 and Yuko Ishizaka1

Publish date

2017;