$219.00

FREE
SHIPPING

100% MONEY
BACK GUARANTEE

ONLINE
SUPPORT 24/7

Sku: P291652-50 μl

Specification

Full name VPS4A rabbit monoclonal antibody
Alternative names 50 μl/100 μl
Reactivity rabbit monoclonal
Applications WB, IHC, IF
Host Rabbit
Clone type rabbit monoclonal
Target Background The protein encoded by this gene is a member of the AAA protein family (ATPases associated with diverse cellular activities), and is the homolog of the yeast Vps4 protein. In humans, two paralogs of the yeast protein have been identified. The former share a high degree of aa sequence similarity with each other, and also with yeast Vps4 and mouse Skd1 proteins. The mouse Skd1 (suppressor of K+ transport defect 1) has been shown to be really an yeast Vps4 ortholog. Functional studies indicate that both human paralogs associate with the endosomal compartments, and are involved in intracellular protein trafficking, similar to Vps4 protein in yeast. The gene encoding this paralog has been mapped to chromosome 16; the gene for the other resides on chromosome 18. [provided by RefSeq, Jul 2008]
Swissprot No Q9UN37
Gene Accession 27183
WB Predicted band size
WB Positive control P291652-WB-1-P
WB Recommended dilution 49 kDa
IHC predicted cell location Predicted cell location: Cytoplasm
IHC positive control Positive control: Human breast cancer
IHC Recommed dilution Recommended dilution: 50-100

Storage

-20°C, 50mM Tris-Glycine (pH 7.4), 0.15M NaCl, 40% Glycerol, 0.01% Sodium azide and 0.05% BSA. Avoid repeated freeze-thaw cycles.

WB PIC Description

P291652-WB-1-P

IHC PIC Description

Immunohistochemical analysis of paraffin-embedded Human breast cancer tissue using P291652(VPS4A Antibody) at dilution 1/50

When can I expect my order to ship?

Most orders are filled and shipped within 2-3 business days from the time they are received.

Our standard shipping usually take 2-5 days.

We also provide express shippping for time-sensitive deliveries. 

Email contact@biofargo.com if you have any requirements.

 

Terms and Conditions

No data