Xenopus laevis Research Antibodies & Reagents

Browse Xenopus laevis (African clawed frog) antibodies and recombinant proteins — species-validated reagents for developmental biology, cell cycle research, and signal transduction studies. Xenopus laevis is an allotetraploid amphibian (~3.1 Gb genome) that has served as a cornerstone vertebrate model for over 60 years, contributing Nobel Prize-winning discoveries in nuclear reprogramming (Gurdon, 2012) and foundational insights into cell cycle regulation, oocyte maturation, and embryonic induction. The large, easily manipulated oocytes (~1.2 mm diameter, abundant maternal mRNA stores) and externally developing embryos enable powerful experimental approaches including cell-free extract biochemistry (mitotic spindle assembly, DNA replication, checkpoint signaling), microinjection-based gain/loss-of-function (mRNA, morpholinos, CRISPR), explant assays (animal cap, Keller sandwiches for mesoderm induction and convergent extension), and whole-mount in situ hybridization and immunofluorescence. Our reagents support research across Wnt, BMP, Nodal, and FGF signaling pathway dissection, chromatin remodeling and epigenetics, neural crest and neural tube development, organogenesis (kidney, heart, eye), and regenerative biology (tail and limb regeneration). RUO

Species-Specific Validation Antibodies validated with confirmed reactivity to Xenopus targets using species-appropriate positive controls from oocyte extracts, embryonic lysates, and adult tissue samples.

Broad Target Coverage Developmental signaling molecules (Wnt, BMP, Nodal, FGF pathway components), cell cycle regulators (cyclins, CDKs, checkpoint kinases), histones and chromatin modifiers, transcription factors, and structural proteins.

Cross-Reactivity Data Detailed species cross-reactivity information provided on every product datasheet, enabling comparative studies between X. laevis, X. tropicalis, and mammalian systems.

Multiple Applications Validated for WB, IHC (whole-mount and section), IF, ELISA, and immunoprecipitation across developmental biology, cell-free extract, and embryological research workflows.

Original Manufacturer In-house production under ISO 9001 & ISO 13485 quality systems — reliable supply, consistent lot-to-lot performance, and lot-specific CoA and validation data on every product page.

FAQs

How are your antibodies validated?

Every antibody is validated in its listed applications (WB, IHC, IF, ELISA, FC) with supporting images and data on the product page. We use positive and negative controls plus knockout/knockdown verification where available.

Do you offer conjugated antibodies?

Yes — HRP, AP, biotin, FITC, PE, APC, Alexa Fluor, and other fluorochrome conjugates are available. Custom conjugation services are also offered for bulk orders.

What species do your antibodies react with?

Most antibodies target human, mouse, and rat. Many show validated cross-reactivity with additional species including Xenopus. Check the product datasheet for confirmed reactivity data.

What is your replacement policy?

If a product does not perform as described under recommended conditions, contact us within 30 days for replacement or credit. Our technical team will help troubleshoot first.

Can I get custom antibodies?

Yes — our parent company AtaGenix offers full custom antibody development from immunogen design through hybridoma screening and scale-up production.

All products manufactured by AtaGenix Laboratories under ISO 9001 & ISO 13485 quality systems.

References

1. Session AM, Uno Y, Kwon T, et al. Genome evolution in the allotetraploid frog Xenopus laevis. Nature. 2016;538(7625):336-343. DOI

2. Harland RM, Grainger RM. Xenopus research: metamorphosed by genetics and genomics. Trends Genet. 2011;27(12):507-515. DOI

3. Gurdon JB. The developmental capacity of nuclei taken from intestinal epithelium cells of feeding tadpoles. J Embryol Exp Morphol. 1962;10:622-640. DOI

4. Tandon P, Conlon F, Bhatt S, et al. Expanding the genetic toolkit in Xenopus: approaches and opportunities for human disease modeling. Dev Biol. 2017;426(2):325-335. DOI