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10-Deacetyl-7-xylosyl paclitaxel

$400

  • Brand : BIOFRON

  • Catalogue Number : BD-D1139

  • Specification : HPLC≥98%

  • CAS number : 90332-63-1

  • Formula : C50H57NO17

  • Molecular Weight : 943.99

  • PUBCHEM ID : 46783796

  • Volume : 20mg

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Catalogue Number

BD-D1139

Analysis Method

HPLC,NMR,MS

Specification

HPLC≥98%

Storage

-20℃

Molecular Weight

943.99

Appearance

Powder

Botanical Source

chinese yew

Structure Type

Diterpenoids

Category

Standards;Natural Pytochemical;API

SMILES

CC1=C2C(C(=O)C3(C(CC4C(C3C(C(C2(C)C)(CC1OC(=O)C(C(C5=CC=CC=C5)NC(=O)C6=CC=CC=C6)O)O)OC(=O)C7=CC=CC=C7)(CO4)OC(=O)C)OC8C(C(C(CO8)O)O)O)C)O

Synonyms

Benzenepropanoic acid, β-(benzoylamino)-α-hydroxy-, (2aR,4S,4aS,6R,9S,11S,12S,12aR,12bS)-12b-(acetyloxy)-12-(benzoyloxy)-2a,3,4,4a,5,6,9,10,11,12,12a,12b-dodecahydro-6,11-dihydroxy-4a,8,13,13-t etramethyl-5-oxo-4-(β-D-xylopyranosyloxy)-7,11-methano-1H-cyclodeca[3,4]benz[1,2-b]oxet-9-yl ester, (αR,βS)-/(2α,3β,5β,7β,10β,13α)-4-Acetoxy-13-{[(2R,3S)-3-(benzoylamino)-2-hydroxy-3-phenylpropanoyl]oxy}-1,10-dihydroxy-9-oxo-7-(β-D-xylopyranosyloxy)-5,20-epoxytax-11-en-2-yl benzoate/(2α,5β,7β,10β,13α)-4-Acetoxy-13-{[(2R,3S)-3-(benzoylamino)-2-hydroxy-3-phenylpropanoyl]oxy}-1,10-dihydroxy-9-oxo-7-(β-D-xylopyranosyloxy)-5,20-epoxytax-11-en-2-yl benzoate/Benzenepropanoic acid, β-(benzoylamino)-α-hydroxy-, (2aR,4S,4aS,6R,9S,11S,12S,12aS,12bS)-12b-(acetyloxy)-12-(benzoyloxy)-2a,3,4,4a,5,6,9,10,11,12,12a,12b-dodecahydro-6,11-dihydroxy-4a,8,13,13-t etramethyl-5-oxo-4-(β-D-xylopyranosyloxy)-7,11-methano-1H-cyclodeca[3,4]benz[1,2-b]oxet-9-yl ester, (αR,βS)-/10-Deacetyl-7-xylosyl paclitaxel

IUPAC Name

[(1S,2S,3S,4S,7R,9S,10S,12R,15S)-4-acetyloxy-15-[(2R,3S)-3-benzamido-2-hydroxy-3-phenylpropanoyl]oxy-1,12-dihydroxy-10,14,17,17-tetramethyl-11-oxo-9-[(2S,3R,4S,5R)-3,4,5-trihydroxyoxan-2-yl]oxy-6-oxatetracyclo[11.3.1.03,10.04,7]heptadec-13-en-2-yl] benzoate

Applications

10-Deacetyl-7-xylosyl paclitaxel is a Paclitaxel derivative with improved pharmacological features and higher water solubility.IC50 value:Target: Microtubule inhibitor10-Deacetyl-7-xylosyl paclitaxel induced mitotic cell cycle arrest and apoptosis as measured by flow cytometry, DNA laddering, and transmission electron microscopy. Pro-apoptotic Bax and Bad protein expression was up-regulated and anti-apoptotic Bcl-2 and Bcl-XL expression down-regulated, which lead to a disturbance of the mitochondrial membrane permeability and to the activation of caspase-9. In turn, caspase-9 activated downstream caspases-3 and -6, but not caspase-8. Bid was also activated by caspase-3. Reversely, treatment with a caspase-10-specific inhibitor could not protect PC-3 cells from 7-xylosyl-10-deacetyl-paclitaxel-triggered apoptosis. Moreover, 7-xylosyl-10-deacetylpaclitaxel had no effect on the expression of CD95 and NF-kappaB proteins, indicating that apoptosis was induced through the mitochondrial-dependent pathway in PC-3 cells.

Density

1.5±0.1 g/cm3

Solubility

Soluble in DMSO

Flash Point

599.9±34.3 °C

Boiling Point

1068.4±65.0 °C at 760 mmHg

Melting Point

InChl

InChI=1S/C50H57NO17/c1-25-31(65-45(61)38(56)35(27-15-9-6-10-16-27)51-43(59)28-17-11-7-12-18-28)22-50(62)42(67-44(60)29-19-13-8-14-20-29)40-48(5,41(58)37(55)34(25)47(50,3)4)32(21-33-49(40,24-64-33)68-26(2)52)66-46-39(57)36(54)30(53)23-63-46/h6-20,30-33,35-40,42,46,53-57,62H,21-24H2,1-5H3,(H,51,59)/t30-,31+,32+,33-,35+,36+,37-,38-,39-,40-,42+,46+,48-,49+,50-/m1/s1

InChl Key

ORKLEZFXASNLFJ-ODBGVJAMSA-N

WGK Germany

RID/ADR

HS Code Reference

2932990000

Personal Projective Equipment

Correct Usage

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

Meta Tag

provides coniferyl ferulate(CAS#:90332-63-1) 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

30478411

Abstract

Revealing the relationship between dysfunctional genes in blood and brain tissues from patients with Alzheimer’s Disease (AD) will help us to understand the pathology of this disease. In this study, we conducted the first such large systematic analysis to identify differentially expressed genes (DEGs) in blood samples from 245 AD cases, 143 mild cognitive impairment (MCI) cases, and 182 healthy control subjects, and then compare these with DEGs in brain samples. We evaluated our findings using two independent AD blood datasets and performed a gene-based genome-wide association study to identify potential novel risk genes. We identified 789 and 998 DEGs common to both blood and brain of AD and MCI subjects respectively, over 77% of which had the same regulation directions across tissues and disease status, including the known ABCA7, and the novel TYK2 and TCIRG1. A machine learning classification model containing NDUFA1, MRPL51, and RPL36AL, implicating mitochondrial and ribosomal function, was discovered which discriminated between AD patients and controls with 85.9% of area under the curve and 78.1% accuracy (sensitivity = 77.6%, specificity = 78.9%). Moreover, our findings strongly suggest that mitochondrial dysfunction, NF-κB signalling and iNOS signalling are important dysregulated pathways in AD pathogenesis.

Title

Systematic Analysis and Biomarker Study for Alzheimer’s Disease

Author

Xinzhong Li,corresponding author1 Haiyan Wang,2 Jintao Long,1 Genhua Pan,3 Taigang He,4 Oleg Anichtchik,1 Robert Belshaw,1 Diego Albani,5 Paul Edison,6 Elaine K Green,1 and James Scott6

Publish date

2018 Nov 26

PMID

31198643

Abstract

Background
Microbial analyses performed in connection with the post-slaughter environment of farmed Atlantic salmon (Salmo salar L.) have mostly focused on specific bacteria that may have negative effects on the health of consumers. However, bacteria may also affect other quality variables. The objective of this study was to provide general knowledge about composition and dynamics of the bacterial communities present at slaughter and cold storage of farmed Atlantic salmon, as well as reveal any possible correlations to gelatinase activity, which may affect fillet quality. Thus, these data may provide a basis for optimization opportunities in the aquaculture industry.

Methods
Samples were taken from the digestive system harvested from 15 salmon immediately after slaughter. Another 17 salmon were taken from the processing line just before the final cleaning stage; of these eight were distributed in three iced storage boxes while the other nine were rinsed an extra time with industrial water before being distributed into another three storage boxes. In the following 6 days, samples were taken of skin mucus, liquids in the abdominal cavity and the storage ice. The compositions of the bacterial communities were analyzed by next-generation sequencing and gelatinase activity was measured in all samples except the storage ice.

Results
The bacterial communities in the digestive tract samples were dominated by the family Mycoplasmataceae. The genus Aliivibrio was also relatively abundant. Bacterial communities in the abdominal cavity were generally more diverse than the intestinal samples. However, all of the abdominal samples from storage box no. 3 had a high relative abundance of Mycoplasmataceae, and could not be distinguished from the intestinal samples (Q = 1.27, p = 0.633) while being significantly different from the other abdominal samples (Q = 9.02, p = 0.01). In addition, the abdominal samples from storage box no. 3 had a significantly higher gelatin degrading activity (Q = 9.43, p = 0.001) than those from the other storage boxes and similar to the high gelatinase activity in the intestinal samples. This indicated that in storage box no. 3 there was a transfer of intestinal fluids to the abdominal cavities, which was not removed by the cleaning procedure. There was a significant difference of the major phyla detected in the skin mucus of salmon rinsed an additional time, as these salmon had a higher relative amount of Firmicutes (F = 4.76, p = 0.04) and lower amount of Proteobacteria (F = 4.41, p = 0.047).

Conclusions
The study showed a correlation between intestinal fluids and bacteria left in the abdominal cavity and gelatinase activity. This suggested that intestinal fluids and/or bacteria could enhance the degradation of connective tissue in the abdominal cavity and hence negatively affect the fillet quality. In addition, the study provided general knowledge of the composition and dynamics of bacterial communities present.

KEYWORDS

Aquaculture, Atlantic salmon, Bacterial communities, Gelatinase activity, Post-slaughter

Title

Composition and dynamics of the bacterial communities present in the post-slaughter environment of farmed Atlantic salmon (Salmo salar L.) and correlations to gelatin degrading activity

Author

asa Jacobsen,corresponding author1 Svein-Ole Mikalsen,2 Horaldur Joensen,2 and Jonhard Eysturskarð1

Publish date

2019 Jun 4

PMID

26640944

Abstract

Oryza meyeriana (O. meyeriana), with a GG genome type (2n = 24), accumulated plentiful excellent characteristics with respect to resistance to many diseases such as rice shade and blast, even immunity to bacterial blight. It is very important to know if the diseases-resistant genes exist and express in this wild rice under native conditions. However, limited genomic or transcriptomic data of O. meyeriana are currently available. In this study, we present the first comprehensive characterization of the O. meyeriana transcriptome using RNA-seq and obtained 185,323 contigs with an average length of 1,692 bp and an N50 of 2,391 bp. Through differential expression analysis, it was found that there were most tissue-specifically expressed genes in roots, and next to stems and leaves. By similarity search against protein databases, 146,450 had at least a significant alignment to existed gene models. Comparison with the Oryza sativa (japonica-type Nipponbare and indica-type 93-11) genomes revealed that 13% of the O. meyeriana contigs had not been detected in O. sativa. Many diseases-resistant genes, such as bacterial blight resistant, blast resistant, rust resistant, fusarium resistant, cyst nematode resistant and downy mildew gene, were mined from the transcriptomic database. There are two kinds of rice bacterial blight-resistant genes (Xa1 and Xa26) differentially or specifically expressed in O. meyeriana. The 4 Xa1 contigs were all only expressed in root, while three of Xa26 contigs have the highest expression level in leaves, two of Xa26 contigs have the highest expression profile in stems and one of Xa26 contigs was expressed dominantly in roots. The transcriptomic database of O. meyeriana has been constructed and many diseases-resistant genes were found to express under native condition, which provides a foundation for future discovery of a number of novel genes and provides a basis for studying the molecular mechanisms associated with disease resistance in O. meyeriana.

Title

Transcriptomic Analysis and the Expression of Disease-Resistant Genes in Oryza meyeriana under Native Condition

Author

Bin He, 1 Xiang Tao, 1 Yinghong Gu, 1 Changhe Wei, 1 Xiaojie Cheng, 1 Suqin Xiao, 2 Zaiquan Cheng, 2 ,* and Yizheng Zhang 1 ,*

Publish date

2015 Dec 7