GIL1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
GIL1 antibody; At5g58960 antibody; K19M22.15 antibody; Protein GRAVITROPIC IN THE LIGHT 1 antibody
Target Names
GIL1
Uniprot No.

Target Background

Function
This antibody is essential for understanding the mechanism of red (R) and far red (FR) light-induced and phytochrome-mediated deregulation of negative gravitropism, leading to the randomization of hypocotyl growth orientation.
Gene References Into Functions
  1. GIL1 plays a crucial role in light-dependent randomization of hypocotyl growth orientation in Arabidopsis. PMID: 16640600
Database Links

KEGG: ath:AT5G58960

STRING: 3702.AT5G58960.1

UniGene: At.29251

Q&A

Here’s a structured collection of FAQs for researchers studying Galectin-1 (Gal-1) antibodies, synthesized from peer-reviewed studies and optimized for academic research contexts:

What experimental designs optimize detection of Gal-1 in immune-suppressive microenvironments?

Advanced strategies:

  • Multiparametric flow cytometry: Combine anti-Gal-1 (e.g., mAb 6F3) with markers for regulatory T cells (FoxP3+ CD25+ CD127−) and checkpoint inhibitors (PD-1/CTLA-4) .

  • Tissue multiplexing: Use CODEX or IMC platforms to map Gal-1 expression relative to stromal (α-SMA+) and immune (CD8+/CD68+) cells .

Key validation controls:

  • Include isotype-matched antibodies and Gal-1-blocking peptides to distinguish nonspecific binding .

How to address cross-reactivity in anti-Gal-1 antibodies with gangliosides or glycolipid complexes?

Risk mitigation:

  • Screen against glycan arrays containing GM1, GD1a, and GQ1b (common mimics in neurological tissues) .

  • Refer to antigen localization data:

Target AntigenPeripheral Nerve LocalizationCross-Reactivity Risk with Gal-1 Antibodies
GM1Nodes of Ranvier (motor)Moderate (shared β-galactoside motifs)
GD1aMotor neuron paranodesLow (distinct sialylation patterns)
GQ1bCranial nerve terminalsHigh in MFS/GBS subtypes

Advanced solution:
Use combinatorial glycolipid arrays to test antibody binding to Gal-1:ganglioside complexes (e.g., GM1:GalNAc-GD1a) .

What statistical approaches resolve heterogeneity in Gal-1 antibody functional data?

Factor analysis:

  • Apply exploratory factor analysis (EFA) to glycoarray datasets to cluster antibody reactivities into latent variables (e.g., microbial vs. autoimmune triggers) .

  • Example from Guillain-Barré syndrome studies:

FactorContribution RatioAntibody ClusterAssociated Pathology
116%LM1, GA1, GM2/SulfaAxonal degeneration
217%GM1, GD1b complexesPure motor GBS

Machine learning:
Train random forest classifiers on antibody titer patterns to predict clinical subtypes (e.g., AMAN vs. AIDP) .

How to engineer Gal-1 antibodies for enhanced stability and reduced immunogenicity?

Protein engineering workflow:

  • Humanization: Select FR templates with >90% identity to human germlines (e.g., Bevacizumab-derived frameworks) .

  • Affinity maturation: Use error-prone PCR on CDR-H3/L3 regions; screen via yeast display .

  • Stability testing: Conduct accelerated aggregation assays (40°C, pH 5.0–8.0) and compare Tm values by DSC .

Case study:
Murine anti-Gal-1 mAb 6F3 was humanized using VH (NEW) and VL (REI) frameworks, retaining <5% immunogenicity in primate trials .

What mechanisms underlie Gal-1 antibody-mediated immune suppression in cancer models?

Functional pathways:

  • Treg modulation: Gal-1 binding induces IL-10/TGF-β secretion via LAG-3 ligation .

  • Macrophage polarization: Antibody-blocked Gal-1 shifts M2→M1 phenotypes (confirmed by CD206↓/iNOS↑ flow cytometry) .

Experimental validation:

  • Adoptive transfer of Gal-1−/− Tregs into WT hosts abrogates antibody efficacy (p<0.01) .

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