Skip to Content
Merck
All Photos(1)

Key Documents

SML1599

Sigma-Aldrich

VR23

≥98% (HPLC)

Synonym(s):

7-Chloro-4-(4-(2,4-dinitrophenylsulfonyl)piperazin-1-yl)quinoline, 7-Chloro-4-[4-[(2,4-dinitrophenyl)sulfonyl]-1-piperazinyl]-quinoline, VR-23

Sign Into View Organizational & Contract Pricing


About This Item

Empirical Formula (Hill Notation):
C19H16ClN5O6S
CAS Number:
Molecular Weight:
477.88
UNSPSC Code:
12352200
NACRES:
NA.77

Quality Level

Assay

≥98% (HPLC)

form

powder

color

white to beige

solubility

DMSO: 20 mg/mL, clear

storage temp.

2-8°C

Biochem/physiol Actions

Proteasomes are responsible for the cleavage of peptides in an ATP/ubiquitin-dependent manner.
VR23 is a potent inhibitor of proteasome that primary targets β2 of the 20S proteasome catalytic subunit. VR23 selectively induces apoptosis to cancer cells via cyclin E–mediated centrosome amplification. VR23 exhibit little effect on noncancerous cells.

Pictograms

Exclamation mark

Signal Word

Warning

Hazard Statements

Precautionary Statements

Hazard Classifications

Acute Tox. 4 Oral

Storage Class Code

11 - Combustible Solids

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable


Certificates of Analysis (COA)

Search for Certificates of Analysis (COA) by entering the products Lot/Batch Number. Lot and Batch Numbers can be found on a product’s label following the words ‘Lot’ or ‘Batch’.

Already Own This Product?

Find documentation for the products that you have recently purchased in the Document Library.

Visit the Document Library

Sheetal Pundir et al.
Cancer research, 75(19), 4164-4175 (2015-08-05)
The proteasome is clinically validated as a target for cancer therapeutics. However, proteasome-inhibitory agents that are cancer selective have yet to be developed. In this study, we report the identification of a safe and effective proteasome inhibitor with selective anticancer
G Munkácsy et al.
British journal of cancer, 102(2), 361-368 (2009-12-17)
To date individual markers have failed to correctly predict resistance against anticancer agents in breast cancer. We used gene expression patterns attributable to chemotherapy-resistant cells to detect potential new biomarkers related to anthracycline resistance. One of the genes, PSMB7, was

Our team of scientists has experience in all areas of research including Life Science, Material Science, Chemical Synthesis, Chromatography, Analytical and many others.

Contact Technical Service