Recombinant Rat IL1A Protein Pre-coupled Magnetic Beads

• Cat.No.: IL1A-2687R-B
• Product Overview: The Recombnant protein was conjugated to magnetic beads. This ready-to-use, pre-coupled magnetic beads are in uniform particle size and narrow size distribution with large surface area, which is conducive to convenient and fast capture target molecules with high specificity and achieve magnetic separation. This product can be equipped with automation equipment for high-throughput operations.

Specification

• Source: HEK293
• Species: Rat
• Form: Solution
• Particle size: ~2 μm
• Beads Surface: Hydrophilic
• Capacity: > 200 pmol rabbit IgG/ mg beads
• Applications: Immunoassay, In vitro diagnostics, cell sorting, Immunoprecipitation/Co-precipitation, Protein/antibody separation and purification.
• Stability: Stable for at least 6 months from the date of receipt of the product under proper storage and handling conditions.
• Storage: 2-8℃. Do not to freeze thaw the Beads
• Concentration: 10mg beads/mL
• Storage Buffer: PBS buffer

Gene Information

• Gene Name: Il1a interleukin 1 alpha [ Rattus norvegicus ]
• Official Symbol: IL1A
• Gene ID: 24493
• mRNA Refseq: NM_017019.1
• Protein Refseq: NP_058715.1
• UniProt ID: P16598

Reviews

04/08/2021

High solubility.

07/02/2020

Good for intracellular staining.

03/13/2019

Effective in apoptosis assays.

Q&As

What methods are employed to dissect the intricate cross-talk between IL-1α and other cytokines, shedding light on its role in immune modulation?

Cross-talk between IL-1α's and other cytokines is dissected through methods such as co-immunoprecipitation, ELISA, and cytokine profiling arrays.

What experimental approaches allow researchers to dissect the paradoxical roles of IL-1α as both a pro-inflammatory and tissue repair mediator in distinct contexts?

IL-1α's paradoxical roles are dissected using conditional knockout mice, 3D culture systems, and molecular analyses to delineate context-specific effects.

How are cutting-edge techniques like single-cell RNA sequencing utilized to unravel the heterogeneity in IL-1α-responsive cell populations and their functional implications?

Single-cell RNA sequencing uncovers heterogeneity in IL-1α-responsive cell populations and their roles, revealing distinct molecular profiles and functions.

How is the intricate web of IL-1α's pro-inflammatory signaling pathways decoded using advanced experimental techniques?

IL-1α's intricate pro-inflammatory signaling pathways are decoded using advanced techniques like mass spectrometry, phosphoproteomics, and bioinformatics.

How are state-of-the-art genetic editing tools such as CRISPR-Cas9 applied to unravel IL-1α's precise contributions to inflammatory diseases?

Genetic editing tools like CRISPR-Cas9 unveil IL-1α's contributions to diseases by generating knockout models and studying resulting phenotypic changes.

How do researchers manipulate in vitro co-culture systems to dissect the dynamic interplay between immune cells and stromal cells in IL-1α-mediated responses?

In vitro co-culture systems are manipulated to study IL-1α-mediated responses, elucidating immune-stromal cell interactions via cytokine-specific neutralization.

What experimental strategies enable the identification of specific cellular receptors and downstream effectors responsible for IL-1α's diverse physiological effects?

Specific cellular receptors and effectors influenced by IL-1α are identified through techniques like co-immunoprecipitation, ChIP-seq, and siRNA knockdown.

How are sophisticated imaging techniques like live-cell microscopy harnessed to capture the real-time dynamics of IL-1α release and its impact on neighboring cells?

Live-cell microscopy captures real-time IL-1α release dynamics and its impact on neighboring cells, facilitated by fluorescent tagging and high-resolution imaging.

How is the quantitative relationship between IL-1α levels and disease progression established through longitudinal studies and statistical modeling?

Longitudinal studies and statistical modeling establish the quantitative relationship between IL-1α levels and disease progression, offering predictive insights.

How do multi-omics analyses, including transcriptomics and proteomics, provide a holistic view of the network of molecules influenced by IL-1α signaling?

Multi-omics analyses provide a holistic view of IL-1α signaling's impact, integrating transcriptomics, proteomics, and metabolomics data for comprehensive insights.