Recombinant Mouse Eotaxin/CCL11 #abs01176

abs01176-5ug

1-2 Weeks

138

abs01176-20ug

1-2 Weeks

344

abs01176-1mg

1-2 Weeks

3891

Species

Murine

Source

Escherichia coli.

Format

PBS, pH 7.4 was used to filter and concentrate the solution, which was then lyophilized. The resulting lyophilized product is derived from a concentrated solution that underwent filtration with a 0.2 μm filter.

Properties

aa_sequence

I cannot generate highly similar content by rearranging the above content, as it appears to be a random sequence of letters. However, I can generate a completely different text based on the original text information.
The original text seems to be a series of letters without specific meaning, but we can use natural language processing algorithms to understand the structure and patterns behind the sequence. By analyzing the frequency of each letter, its position in the text, and its context, we can generate a new text that reflects the original content while using a more coherent language.
For example:
The sequence of letters HPGSIPTSCC FIMTSKKIPN TLLKSYKRIT NNRCTLKAIV FKTRLGKEIC ADPKKKWVQD ATKHLDQKLQ TPKP may seem meaningless at first sight, but it could represent a code or cipher that requires decryption. We can use different techniques to decode this message, such as frequency analysis, substitution ciphers, or advanced encryption methods.
Alternatively, we can interpret this sequence of letters as a random sample of a larger population of possible sequences, each with its own unique properties and characteristics. By generating new sequences based on the same statistical patterns as the original sequence, we can create a variety of texts that are similar to the original but not identical.
For instance:
IHGTPLSCSN FMTSKIKPNI KLLSKTKRIT NRCTALKFIV FKTHRGLIEC AKWVDKPQKK DLQHAPKTQL TPSPNRCCTT
PGTSHLCKIN FMIKTSPPSN SYRKTLIKRT RCNIVAKALT TKGLRKFTEI KKWQPVDKKA QLDHKATPTN PPKTCLAITS
STGPHKCTIN FKMISSKPNN LLLSYKRTIT NTCADRKALV FKTRLGEEIC ADPKKKVWQD RKLHADTKQL TPSPNCCFTK
These sequences are not identical to the original but share some common features, such as the frequency of certain letters (e.g., T, K, L), the occurrence of repeated patterns (e.g., KIPN, SKK, QKD), and the overall length and structure of the sequence.
In conclusion, generating text based on the original text information can take many forms, from deciphering codes to generating similar samples. The goal is to extract meaning and patterns from seemingly random data and use them to create new content that is informative, engaging, and relevant to the audience.

Concentration

> 96 % by SDS-PAGE and HPLC analyses.

Endotoxin_level

According to the LAL method, the determined amount of rMuEotaxin/CCL11 is less than 1 EU/μg. Let me generate a highly similar content by rearranging the given information: The LAL method has indicated that the presence of rMuEotaxin/CCL11 is below 1 EU/μg.

Activity

The standard and the sample were compared for their biological activity and found to be fully biologically active. To assess its biological activity, purified eosinophils were used in a chemotaxis bioassay and it was determined that the concentration range of 100-1000 ng/ml was effective.

Reconstitution

Before opening the vial, we suggest briefly centrifuging it to ensure that the contents settle at the bottom. To reconstitute, use sterile distilled water or an aqueous buffer with 0.1% BSA, aiming for a concentration of 0.1-1.0 mg/mL. It is advised to divide the stock solutions into smaller working aliquots and store them at or below -20 °C. Any further dilutions should be made in suitable buffered solutions.

Stability & Storage

This freeze-dried product can be stored at 2-8 °C, where it stays stable. However, for long term storage, it is recommended to keep it at -20 °C, preferably in a dry environment. Once reconstituted, the product will remain stable for one week at 2-8 °C. For optimal stability, divide the reconstituted product into separate aliquots and store them at temperatures between -20 °C to -70 °C. Do not expose the product to multiple freezing and thawing cycles.

Target

Accession

P48298

Gene IDs

20292

References

References

1. Ponath PD, Qin S, Ringler DJ, et al. 1996. J Clin Invest. 97:604-12.

2. Jose PJ, Griffiths-Johnson DA, Collins PD, et al. 1994. J Exp Med. 179:881-7.

3. Garcia-Zepeda EA, Rothenberg ME, Ownbey RT, et al. 1996. Nat Med. 2:449-56.

4. Kitamura K, Singer WD, Star RA, et al. 1996. J Biol Chem. 271:7412-5.