ARL6IP6 antibodies are polyclonal reagents primarily derived from rabbit hosts. Key attributes include:
Immunogen: Synthetic peptides corresponding to specific sequences in human ARL6IP6 (e.g., middle region for Boster Bio’s A14815 , fusion protein for Proteintech’s 16956-1-AP ).
Reactivity: Validated for human, mouse, and rat samples in applications such as Western blot (WB), immunohistochemistry (IHC), and flow cytometry .
Functional Impact: Silencing ARL6IP6 in HCC cell lines reduces proliferation, invasion, and apoptosis resistance, implicating its role in tumor progression .
Therapeutic Potential: ARL6IP6 is proposed as a biomarker for immunotherapy due to its interplay with immune checkpoint proteins (e.g., PD-1/PD-L1) .
ARL6IP6 (ADP-ribosylation factor-like protein 6-interacting protein 6) is a member of the ADP ribosylation factor (like) protein family that has attracted significant research interest in recent years. It functions as a potential therapeutic target and prognostic biomarker in various malignancies, with particular significance in hepatocellular carcinoma (HCC) . ARL6IP6 has been shown to be differentially expressed across multiple cancer types, with notably elevated expression in liver cancer tissue compared to healthy liver tissue . The protein has a molecular weight of approximately 22 kDa and has been detected in various human tissues and cell lines . Understanding ARL6IP6 expression patterns and functions may provide valuable insights into cancer pathogenesis and potential therapeutic interventions.
ARL6IP6 can be detected using multiple methodological approaches, each with specific advantages depending on your research questions:
Immunohistochemistry (IHC): Effective for visualizing ARL6IP6 expression in paraffin-embedded tissue sections. Validated protocols typically use heat-mediated antigen retrieval in EDTA buffer (pH 8.0) with antibody concentrations of 1-2 μg/ml or dilutions of 1:200-1:500 .
Western Blotting: Detects ARL6IP6 protein at approximately 22 kDa, with recommended antibody concentrations of 0.04-0.4 μg/mL or 0.5 μg/mL depending on the specific antibody .
Immunofluorescence (IF): Enables subcellular localization studies with recommended antibody concentrations of 0.25-2 μg/mL or 5 μg/mL depending on the antibody source .
Flow Cytometry: Allows quantitative analysis of ARL6IP6 expression at the single-cell level, typically using 1 μg antibody per million cells after appropriate fixation and permeabilization .
ELISA: Quantitative detection in solution with sensitivity down to 1.0 pg/mL and detection range of 50-1000 pg/mL for commercially available kits .
ARL6IP6 can be successfully detected in multiple sample types, allowing for diverse experimental approaches:
Cell lines: Validated in human 293T, Caco-2, and HEPA1-6 cells .
Tissue samples: Successfully detected in human cancer tissues (bladder, gastric, lung, and ovarian), as well as rodent tissues including rat lung and mouse testis and lung .
Liquid biopsies: Detection possible in cell culture supernatant, plasma, serum, and tissue homogenates using ELISA methodology .
Paraffin-embedded sections: Effective for immunohistochemical analysis with appropriate antigen retrieval techniques .
For optimal results with any sample type, fresh samples without long-term storage are recommended to prevent protein degradation and denaturation .
For Western blotting:
Protein loading: 30 μg of sample under reducing conditions
Antibody concentration: 0.5 μg/mL incubated overnight at 4°C
Secondary antibody: Anti-rabbit IgG-HRP at 1:5000 dilution
Signal development: Enhanced chemiluminescent detection system
For immunohistochemistry:
Antigen retrieval: Heat-mediated in EDTA buffer (pH 8.0)
Blocking: 10% goat serum
Primary antibody: 2 μg/ml incubated overnight at 4°C
Secondary detection: Biotinylated goat anti-rabbit IgG with Streptavidin-Biotin-Complex and DAB chromogen
For immunofluorescence:
Cell preparation: Enzyme antigen retrieval
Blocking: 10% goat serum
Primary antibody: 5 μg/mL incubated overnight at 4°C
Secondary detection: Fluorescent-conjugated anti-rabbit IgG at 1:100 dilution
Research has revealed significant correlations between ARL6IP6 expression and cancer progression, particularly in hepatocellular carcinoma:
These findings suggest ARL6IP6 may serve as a valuable prognostic biomarker in HCC and potentially other malignancies, with higher expression levels generally associated with more aggressive disease and poorer outcomes.
Recent research has demonstrated a significant relationship between ARL6IP6 expression and the tumor immune microenvironment:
Positive correlations: ARL6IP6 expression levels positively correlate with the activities of multiple tumor-infiltrating immune cells, including:
This association suggests ARL6IP6 may play a role in modulating the tumor immune microenvironment, potentially influencing immune surveillance and response to immunotherapy. Researchers investigating cancer immunology should consider ARL6IP6 as a potential factor influencing immune cell recruitment or activity within the tumor microenvironment.
Validating antibody specificity is crucial for obtaining reliable research results. For ARL6IP6 antibodies, consider these validation approaches:
Protein knockdown/knockout controls: Compare staining between wild-type samples and those with ARL6IP6 knockdown/knockout to confirm signal specificity.
Multiple antibody validation: Use antibodies from different sources or those targeting different epitopes of ARL6IP6 to confirm consistent staining patterns.
Enhanced validation methods: Look for antibodies validated through orthogonal RNAseq or recombinant expression techniques, which provide higher confidence in specificity .
Multi-tissue Western blotting: Analyze expression across multiple tissues with known differential expression patterns of ARL6IP6, such as comparing liver cancer tissue (high expression) with other cancer types showing lower expression .
Immunogen competition assay: Pre-incubate the antibody with its immunogen peptide (such as the sequence MSFAESGWRSALRRRGPGTPGPVARPSYSSFTQGDSWGEGEVDEEEGCDQVARDLRAEFSAGAWSEPRKRSVLPPDGNGSPVLPDKRNGIFP) to demonstrate signal reduction .
When designing multiplexed staining protocols including ARL6IP6, consider these methodological approaches:
Sequential immunofluorescence:
Begin with the most sensitive antigen (typically ARL6IP6)
Use primary antibodies from different host species to avoid cross-reactivity
Employ spectrally distinct fluorophores for each marker
Include appropriate blocking steps between antibody applications
Consider tyramide signal amplification for weaker signals
Panel design considerations:
When studying immune cell interactions, combine ARL6IP6 with markers for B cells, myeloid dendritic cells, macrophages, neutrophils, CD8+T cells, or CD4+T cells based on the positive correlations observed in research
For cancer progression studies, consider combining with TP53 markers given the relationship between ARL6IP6 expression and TP53 mutation status
Chromogenic multiplexing:
Use different chromogens (DAB, red chromogen, etc.)
Perform sequential staining with complete stripping or blocking between rounds
Include single-stained controls for each marker to validate specificity
When encountering variable or inconsistent staining results with ARL6IP6 antibodies, consider these troubleshooting approaches:
Tissue-specific optimization:
Fixation considerations:
Signal amplification strategies:
Blocking optimization:
Increase blocking concentration (test 10-15% serum)
Include protein blockers like BSA or casein
Add detergents to reduce background (0.1-0.3% Triton X-100 or Tween-20)
Control inclusion:
Western blotting for ARL6IP6 requires attention to several critical factors to ensure reliable detection of this approximately 22 kDa protein:
Sample preparation optimization:
Transfer parameters:
Antibody conditions:
Expected results interpretation:
Successful immunohistochemical detection of ARL6IP6 across diverse cancer tissues requires thoughtful optimization:
Tissue-specific antigen retrieval:
Blocking and antibody parameters:
Cancer-specific considerations:
Validated protocols exist for bladder epithelial carcinoma, gastric cancer, lung cancer, ovarian cancer, and metaplasia of squamous cells of the renal pelvis
Expression patterns vary by cancer type, with particularly strong expression in hepatocellular carcinoma
Consider double-staining with cancer-specific markers when analyzing novel tissue types
Controls and interpretation:
For rigorous quantitative analysis of ARL6IP6 expression data across different experimental platforms:
IHC quantification methods:
Western blot quantification:
Normalize ARL6IP6 signal to loading controls (β-actin, GAPDH)
Use densitometry software with local background subtraction
Generate standard curves with recombinant protein for absolute quantification
ELISA-based quantification:
Transcriptomic data analysis:
Optimizing flow cytometry protocols for ARL6IP6 detection requires specific technical considerations:
Cell preparation protocol:
Antibody titration and application:
Gating strategy:
Multiparameter analysis:
Consider co-staining with markers of interest based on research into ARL6IP6's relationship with immune cells
Apply compensation controls when using multiple fluorophores
Analyze correlations between ARL6IP6 expression and other cellular parameters
ARL6IP6 shows promising characteristics as a potential therapeutic target based on current research findings:
Future research should focus on mechanistic studies to better understand how ARL6IP6 contributes to cancer pathogenesis and validate its potential as a therapeutic target through preclinical models.
To elucidate the functional significance of ARL6IP6 in cancer biology, researchers should consider these methodological approaches:
Gene modulation techniques:
CRISPR/Cas9 knockout to assess loss-of-function effects
shRNA or siRNA for transient knockdown studies
Overexpression systems to evaluate gain-of-function effects
Inducible expression systems for temporal control
Functional assays:
Pathway analysis:
In vivo models:
Xenograft studies with ARL6IP6-modulated cell lines
Patient-derived xenografts to preserve tumor heterogeneity
Analysis of immune cell infiltration in immunocompetent models
Correlation of treatment response with ARL6IP6 expression levels