|Datasheet||Specific References||Reviews||Related Products||Protocols|
|Vector Type||Mammalian Expression Vector|
|Expression Method||Constiutive, Stable / Transient|
|Selection In Mammalian Cells||Hygromycin|
Human influenza hemagglutinin (HA) is a surface glycoprotein required for the infectivity of the human virus. The HA tag is derived from the HA-molecule corresponding to amino acids 98-106 has been extensively used as a general epitope tag in expression vectors. Many recombinant proteins have been engineered to express the HA tag, which does not appear to interfere with the bioactivity or the biodistribution of the recombinant protein. This tag facilitates the detection, isolation, and purification of the proteins.
The actual HA tag is as follows: 5' TAC CCA TAC GAT GTT CCA GAT TAC GCT 3' or 5' TAT CCA TAT GAT GTT CCA GAT TAT GCT 3' The amino acid sequence is: YPYDVPDYA.
|Mouse ACPL2 ORF mammalian expression plasmid, C-GFPSpark tag||MG50931-ACG|
|Mouse ACPL2 ORF mammalian expression plasmid, C-OFPSpark / RFP tag||MG50931-ACR|
|Mouse ACPL2 ORF mammalian expression plasmid, C-Flag tag||MG50931-CF|
|Mouse ACPL2 ORF mammalian expression plasmid, C-His tag||MG50931-CH|
|Mouse ACPL2 ORF mammalian expression plasmid, C-Myc tag||MG50931-CM|
|Mouse ACPL2 ORF mammalian expression plasmid, C-HA tag||MG50931-CY|
|Mouse ACPL2 Gene cDNA clone plasmid||MG50931-G|
|Mouse ACPL2 ORF mammalian expression plasmid, N-Flag tag||MG50931-NF|
|Mouse ACPL2 ORF mammalian expression plasmid, N-His tag||MG50931-NH|
|Mouse ACPL2 ORF mammalian expression plasmid, N-Myc tag||MG50931-NM|
|Mouse ACPL2 ORF mammalian expression plasmid, N-HA tag||MG50931-NY|
|Mouse ACPL2 natural ORF mammalian expression plasmid||MG50931-UT|
|Learn more about expression Vectors|
acid phosphatase-like protein 2, also known as ACPL2, is a secreted protein which belongs to the histidine acid phosphatase family. A large-scale effort, termed the Secreted Protein Discovery Initiative (SPDI), was undertaken to identify novel secreted and transmembrane proteins. In the first of several approaches, a biological signal sequence trap in yeast cells was utilized to identify cDNA clones encoding putative secreted proteins. A second strategy utilized various algorithms that recognize features such as the hydrophobic properties of signal sequences to identify putative proteins encoded by expressed sequence tags (ESTs) from human cDNA libraries. A third approach surveyed ESTs for protein sequence similarity to a set of known receptors and their ligands with the BLAST algorithm. Finally, both signal-sequence prediction algorithms and BLAST were used to identify single exons of potential genes from within human genomic sequence.