Recombinant Rickettsia japonica 17 kDa surface antigen(omp)

Verified reactivity

Rickettsia japonica (strain ATCC VR-1363 / YH)
Protein number

Q52764
Gene number

omp
Other name

no alternative name
Protein origin

E.coli
Protein region

20-159aa
Protein sequence

CNGPGGMNKQGTGTLLGGAGGALLGSQFGKGTGQLVGVGVGALLGAVLGGQIGAGMDEQDRRLAELTSQRALETAPSGSNVEWRNPDNGNYGYVTPNKTYRNSTGQYCREYTQTVVIGGKQQKAYGNACRQPDGQWQVVN
Information about sequence

Full Length
Expected molecular weight

31.4kDa
Protein purity

≥ 90%
Storage recommendation

Aliquot and store at -20°C. Minimize freezing and thawing.
Use before

1 year
Shipping requirements

Blue ice
Estimated production time

7-11 business days
Notes

For research use only. Not for diagnostic procedures.
Hyperlink
Description

Antigens are peptides or recombinant or native dependent on the production method. The kilo Daltons subunit weight of Recombinant Rickettsia japonica 17 surface antigen(omp) compared to your protein ladder can be shifted a little due to electrophoresis effects. 1 kDa = 1000 g/mol protein
Source

Recombinants or rec. proteins
Group

recombinants

Gene target

Rickettsia japonica surface omp
Short name

Recombinant Rickettsia japonica 17 surface antigen(omp)
Technique

Recombinant, antigen, antigenes, E. coli recombinant proteins are genetic recombinations in Escherichia coli, supplied as white sterile powder lyopillized. bioma advises they will be reconstituted in a buffer soluion or culture medium for cell culture.
Label

N-terminal 6xHis-SUMO-tagged
Alternative name

Rec. Rickettsia japonica 17 kiloDalton surface protein(omp)
Alternative technique

rec, antigenes

Name

Blotting, Western
Concept

Scope note: Identification of proteins or peptides that have been electrophoretically separated by blot transferring from the electrophoresis gel to strips of nitrocellulose paper, followed by labeling with antibody probes.
Tree numbers
- E05.196.401.143
- E05.301.300.096
- E05.478.566.320.200
- E05.601.262
- E05.601.470.320.200
Qualifiers

ethics, trends, veterinary, history, classification, economics, instrumentation, methods, standards, statistics & numerical data