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Обзор
Каталожный номерMS720014
Описание
Anti-Mouse GFRAL Polyclonal Antibody (MS720014) is a rabbit polyclonal antibody detecting Gfral. Suitable for Mouse and Rat.
Highlights
  • ●Multi-Species — Cross-reactive for translational research.
Реактивность видовMouse, Rat
ПримененияELISA, IHC, WB
Хозяинский видRabbit
КлоональностьPolyclonal
ИзотипIgG
Иммуноген E. coli - derived recombinant Mouse GFRAL (Met128-Asn318).
Цель GDNF family receptor alpha-like, Gfral, Gral
Уровень эндотоксинов Please contact with the lab for this information.
Очистка Purified by antigen affinity column.
Номер доступа Q6SJE0
Форма Liquid
Буфер хранения 0.01M PBS, pH 7.4, 50% Glycerol, 0.05% Proclin 300.

Пожалуйста, обратитесь к конкретной информации о буфере в печатной версии даташита или в индивидуальном сертификате качества (COA) для партии.

Информация об использовании продукта
Применение Разбавление
ELISA 1:5000-1:20000
IHC 1:50-1:500
WB 1:500-1:2000
Фон

GDNF family receptor alpha-like (GFRAL) is a ~43 kDa protein. Brainstem-restricted receptor for GDF15 hormone, which triggers an aversive response, characterized by nausea, vomiting, and/or loss of appetite in response to various stresses. The aversive response is both required to reduce continuing exposure to those stresses at the time of exposure and to promote avoidance behavior in the future. The GDF15-GFRAL aversive response is triggered by stresses, such as anticancer drugs (camptothecin or cisplatin), cancers or drugs such as metformin. Upon interaction with its ligand, GDF15, mediates the GDF15-induced autophosphorylation and activation of the RET tyrosine kinase receptor, leading to activation of MAPK- and AKT- signaling pathways. Ligand-binding activates GFRAL-expressing neurons localized in the area postrema and nucleus tractus solitarius of the brainstem.

1. Mullican, SE. et al. (2017) Nature medicine 23, 1150-1157. PMID: 28846097
2. Emmerson, PJ. et al. (2017) Nature medicine 23, 1215-1219. PMID: 28846098
3. Yang, L. et al. (2017) Nature medicine 23, 1158-1166. PMID: 28846099
4. Hsu, JY. et al. (2017) Nature 550, 255-259. PMID: 28953886
5. Tsai, VW. et al. (2019) International journal of obesity (2005) 43, 2370-2380. PMID: 31152154
6. Borner, T. et al. (2020) Cell metabolism 31, 351-362.e5. PMID: 31928886
7. Worth, AA. et al. (2020) eLife 9. PMID: 32723474
8. Sabatini, PV. et al. (2021) Proceedings of the National Academy of Sciences of the United States of America 118. PMID: 33593916
9. Lu, JF. et al. (2022) PLoS biology 20, e3001517. PMID: 35202387
10. Benichou, O. et al. (2023) Cell metabolism 35, 274-286.e10. PMID: 36630958
Примечание For research use only
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Formula
Mass (g) = Concentration (mol/L) × Volume (L) × MW (g/mol)
Enter any 2 of Mass, Concentration, Volume + Molecular Weight to solve for the unknown.
Mass
=
Concentration
×
Volume
Molecular Weight *
g/mol
Formula
C₁ × V₁ = C₂ × V₂
Enter any 3 of the 4 values to solve for the unknown.
Stock Solution
C₁ (Stock Conc.)
×
V₁ (Stock Vol.)
=
Working Solution
C₂ (Working Conc.)
×
V₂ (Working Vol.)
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