SIPA1 (Signal-induced proliferation-associated protein 1), also known as SPA1, is a GTPase-activating protein (GAP) that regulates Rap1/2 activity, influencing cellular processes such as proliferation, adhesion, and signal transduction . Biotin-conjugated SIPA1 antibodies are specialized reagents designed for high-sensitivity detection in assays like ELISA, Western blotting, and immunofluorescence. Biotin’s strong affinity for streptavidin/avidin enables signal amplification through secondary detection systems (e.g., HRP- or fluorophore-labeled streptavidin) .
Storage: Typically stored at -20°C or -80°C in PBS/glycerol buffers. Repeated freeze-thaw cycles compromise activity .
Protocol:
Example: Proteintech’s SIPA1 antibody (Catalog #26793-1-AP) detected SIPA1 in Raji cells and HEK-293T lysates, revealing its role in triple-negative breast cancer (TNBC) metastasis .
Method: Biotinylated SIPA1 antibodies bind immobilized antigens, detected via streptavidin-enzyme conjugates.
TNBC Metastasis: SIPA1 promotes transcription of fibronectin 1, enhancing cell migration and invasion. Overexpression in TNBC correlates with poor prognosis .
Mechanism: Acts as a transcriptional factor (TF) in a DBR-dependent manner .
SIPA1 (Signal-induced proliferation-associated protein 1) is a mitogen-induced GTPase-activating protein (GAP) that exhibits specific GAP activity for Ras-related regulatory proteins Rap1 and Rap2, but not for Ran or other small GTPases . It functions primarily as a negative regulator in the Rap signaling pathway by converting active GTP-bound Rap proteins to their inactive GDP-bound state . SIPA1 is localized to the perinuclear region and plays important roles in multiple cellular processes, including cell cycle progression, signal transduction, and potentially in cancer development and metastasis .
SIPA1 has been implicated in various malignancies, including leukemia, cervical cancer, and breast cancer, suggesting its importance in cancer biology . Research has shown that it may hamper mitogen-induced cell cycle progression when abnormally or prematurely expressed, pointing to its regulatory role in proliferation control mechanisms . In colorectal cancer, studies have demonstrated increased SIPA1 expression compared to normal background tissues, with interesting variations in expression patterns correlating with tumor differentiation status and lymphatic metastasis .
SIPA1 Antibody, Biotin conjugated is typically supplied as a polyclonal antibody in liquid form, with biotin as the conjugate molecule . Key specifications include:
| Parameter | Specification |
|---|---|
| Size | 50 μg |
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Isotype | IgG |
| Immunogen | Recombinant Human Signal-induced proliferation-associated protein 1 protein (759-927AA) |
| Reactivity | Human |
| Tested Applications | ELISA |
| Purification | 95%, Protein G purified |
| Buffer Composition | 0.03% Proclin 300, 50% Glycerol, 0.01M PBS, pH 7.4 |
| Storage Conditions | -20°C or -80°C; avoid repeated freeze-thaw cycles |
| UniProt ID | Q96FS4 |
The biotin conjugation enhances detection sensitivity in assays like ELISA, immunohistochemistry, and flow cytometry by providing a strong binding site for streptavidin-coupled detection systems .
Biotin conjugation provides several methodological advantages compared to unconjugated antibodies. The biotin-streptavidin system offers one of the strongest non-covalent biological interactions known (Kd ≈ 10^-15 M), resulting in high sensitivity detection . This modification enables amplified signal detection due to the multiple biotin molecules that can be attached to each antibody molecule and the subsequent binding of multiple streptavidin-reporter conjugates.
In immunoassays, biotin-conjugated antibodies eliminate the need for species-specific secondary antibodies, reducing background signals and cross-reactivity issues that can complicate result interpretation. Additionally, biotin conjugation facilitates multiplexing capabilities, allowing researchers to simultaneously detect multiple targets in the same sample when combined with differently labeled streptavidin conjugates .
For optimal ELISA performance with SIPA1 Antibody, Biotin conjugated, the following methodological approach is recommended:
Sample Preparation:
Cell lysates: Extract proteins using RIPA buffer supplemented with protease inhibitors
Tissue samples: Homogenize in appropriate buffer (PBS with 1% Triton X-100) and clarify by centrifugation
Serum/plasma: Dilute 1:10 to 1:100 in blocking buffer to minimize matrix effects
ELISA Protocol:
Coat plates with target capture antibody (1-10 μg/mL in carbonate buffer, pH 9.6)
Block with 1-5% BSA or 5% non-fat dry milk in PBS-T for 1-2 hours at room temperature
Add samples and standards (2-fold serial dilutions recommended)
Apply SIPA1 Antibody, Biotin conjugated at 1:500 to 1:2000 dilution (optimal dilution should be determined empirically)
Incubate with streptavidin-HRP (typically 1:5000 to 1:20000)
Develop with TMB substrate and read absorbance at 450 nm
Critical Parameters:
Temperature: Perform all incubations at room temperature (20-25°C) unless otherwise specified
Incubation times: Primary antibody incubation typically requires 2 hours at room temperature or overnight at 4°C
pH considerations: Maintain neutral pH (7.2-7.4) during antibody incubation steps
Washing: Include at least 3-5 thorough washing steps with PBS-T between reagent additions
Thorough optimization of antibody concentration is essential, as excess antibody can increase background while insufficient antibody reduces sensitivity .
SIPA1 Antibody, Biotin conjugated provides powerful methodological approaches for investigating SIPA1's role in cancer progression through several experimental designs:
Immunohistochemistry (IHC) Analysis:
Prepare tissue microarrays containing tumor samples at different stages and matched normal controls
Perform antigen retrieval (citrate buffer, pH 6.0, or EDTA buffer, pH 9.0)
Apply SIPA1 Antibody, Biotin conjugated (1:100-1:500 dilution)
Visualize using streptavidin-HRP and DAB or AEC substrates
Quantify expression levels using digital pathology software
Studies using this approach have revealed increased SIPA1 expression in colorectal cancer tissues compared to normal background tissues, with interesting variations in poorly-differentiated samples and in patients with lymphatic metastasis .
Functional Studies:
Generate SIPA1 knockdown or overexpression cell lines using appropriate vectors
Confirm altered expression using the biotin-conjugated antibody in western blots or flow cytometry
Assess phenotypic changes in:
Cell proliferation (MTT/XTT assays)
Migration/invasion (Transwell assays)
Colony formation (soft agar assays)
Cell cycle distribution (PI staining, flow cytometry)
Research has shown that SIPA1 knockdown resulted in reduced cell growth but, interestingly, increased invasion and migration abilities in colorectal cancer cells, suggesting complex roles during disease progression .
Rigorous experimental design requires appropriate controls when working with SIPA1 Antibody, Biotin conjugated:
Essential Controls:
| Control Type | Purpose | Implementation |
|---|---|---|
| Positive Control | Confirms antibody functionality | Use cells/tissues known to express SIPA1 (e.g., specific cancer cell lines) |
| Negative Control | Assesses non-specific binding | Use cells/tissues lacking SIPA1 expression |
| Isotype Control | Evaluates background from antibody class | Apply biotin-conjugated rabbit IgG at matching concentration |
| Blocking Control | Verifies epitope specificity | Pre-incubate antibody with immunizing peptide before application |
| Endogenous Biotin Control | Addresses endogenous biotin interference | Include avidin/biotin blocking step or analyze samples without primary antibody |
| Loading Control | Normalizes for protein quantity variations | Use housekeeping proteins (e.g., GAPDH, β-actin) |
| SIPA1 Knockdown/Knockout | Confirms antibody specificity | Compare signals between wild-type and SIPA1-deficient samples |
Additionally, signal amplification controls should be included when using streptavidin-coupled detection systems to determine the optimal signal-to-noise ratio. For quantitative applications, include a standard curve using recombinant SIPA1 protein at known concentrations to accurately determine expression levels .
The investigation of SIPA1-Rap signaling interactions requires sophisticated methodological approaches where SIPA1 Antibody, Biotin conjugated serves as a valuable tool:
Rap Activation Assay:
Prepare lysates from cells with modified SIPA1 expression (knockdown/overexpression)
Perform Rap1 pull-down using RalGDS-RBD (Rap-binding domain) beads following manufacturer's protocols
Analyze active (GTP-bound) Rap1 levels via western blotting
Simultaneously assess SIPA1 expression using SIPA1 Antibody, Biotin conjugated
Quantify the inverse relationship between SIPA1 expression and active Rap1 levels
Experimental evidence shows that SIPA1 exhibits specific GAP activity for Ras-related regulatory proteins Rap1 and Rap2, converting them to their inactive GDP-bound state .
Co-immunoprecipitation with Signal Enhancement:
Prepare cell lysates under non-denaturing conditions
Immunoprecipitate Rap1/Rap2 using specific antibodies
Detect co-precipitated SIPA1 using biotin-conjugated SIPA1 antibody
Amplify signal using streptavidin-coupled fluorescent dyes or enzymes
Quantify interaction under various cellular conditions (e.g., stimulation with growth factors, stress conditions)
The biotin conjugation significantly enhances detection sensitivity in these co-IP experiments, allowing visualization of even transient or weak protein interactions that might be missed with conventional antibodies .
SIPA1 has been implicated in epigenetic regulation and nuclear signaling processes. The following methodological approaches utilize SIPA1 Antibody, Biotin conjugated to investigate these aspects:
Chromatin Immunoprecipitation (ChIP):
Cross-link protein-DNA complexes in intact cells using formaldehyde (1% for 10 minutes)
Sonicate chromatin to generate 200-500 bp fragments
Immunoprecipitate SIPA1-associated chromatin using biotin-conjugated SIPA1 antibody
Capture immune complexes using streptavidin-coupled magnetic beads
Reverse cross-links and purify DNA
Analyze by qPCR or next-generation sequencing to identify SIPA1-associated genomic regions
Nuclear-Cytoplasmic Fractionation and Analysis:
Separate nuclear and cytoplasmic fractions using commercial kits or differential centrifugation
Verify fraction purity using markers (e.g., Lamin B for nuclear, GAPDH for cytoplasmic)
Analyze SIPA1 distribution using biotin-conjugated antibody in western blotting
Quantify nuclear/cytoplasmic SIPA1 ratios under different cellular conditions
Proximity Ligation Assay (PLA):
Fix and permeabilize cells on microscope slides
Apply primary antibodies: biotin-conjugated SIPA1 antibody and antibody against putative interaction partner
Add secondary antibodies coupled with PLA probes
Perform ligation and amplification steps
Visualize interaction sites as fluorescent spots via confocal microscopy
These methodologies leverage the perinuclear localization of SIPA1 and its potential involvement in epigenetic and nuclear signaling pathways .
Research has revealed complex relationships between SIPA1 expression and cancer progression. SIPA1 Antibody, Biotin conjugated enables several methodological approaches to study these correlations:
Multiplex Immunohistochemistry (mIHC):
Prepare tissue sections from cancer samples at different stages
Perform sequential staining cycles with antibodies against:
SIPA1 (using biotin-conjugated antibody)
Proliferation markers (Ki-67, PCNA)
EMT markers (E-cadherin, Vimentin)
Metastasis markers (MMPs, CD44)
Develop each marker with a distinct chromogen or fluorophore
Analyze co-expression patterns using digital pathology
Correlation Analysis:
| Cancer Type | SIPA1 Expression Pattern | Associated Markers | Clinical Correlation |
|---|---|---|---|
| Colorectal Cancer | Increased in tumor vs. normal tissue | ↓ in poorly-differentiated tumors | ↓ in patients with lymphatic metastasis |
| Breast Cancer | Possible metastasis modifier | Associated with metastatic potential | Correlation with poor prognosis |
| Cervical Cancer | Reported involvement | Under investigation | Potential biomarker |
Studies have shown that SIPA1 appears to have contrasting effects on growth versus motility in colorectal cancer cells. Knockdown experiments resulted in reduced cell growth but increased invasion and migration capabilities, suggesting context-dependent functions during disease progression .
Functional Validation:
Generate cell lines with modulated SIPA1 expression
Assess changes in expression of cancer progression markers using RT-qPCR
Confirm protein level alterations using SIPA1 Antibody, Biotin conjugated
Correlate SIPA1 levels with cell behavior in invasion, migration, and proliferation assays
These methodologies provide comprehensive insights into SIPA1's role in cancer biology and its potential as a biomarker or therapeutic target .
Researchers may encounter several technical challenges when working with SIPA1 Antibody, Biotin conjugated. Here are methodological solutions to common issues:
High Background Signal:
Cause: Insufficient blocking, endogenous biotin, or non-specific binding
Solutions:
Increase blocking time (2-3 hours) and concentration (3-5% BSA or casein)
Implement avidin-biotin blocking step prior to primary antibody incubation
Add 0.1-0.3% Triton X-100 to reduce hydrophobic interactions
Include 0.1-0.5M NaCl in washing buffer to reduce ionic interactions
Weak or No Signal:
Cause: Protein degradation, epitope masking, insufficient antigen, or antibody denaturation
Solutions:
Add protease inhibitors to all sample preparation buffers
Optimize antigen retrieval methods (try both heat-induced and enzymatic methods)
Increase antibody concentration or incubation time
Ensure proper storage at -20°C or -80°C and avoid repeated freeze-thaw cycles
Inconsistent Results:
Cause: Batch-to-batch variation, inconsistent sample preparation, or variable incubation conditions
Solutions:
Validate each new antibody lot against a reference standard
Standardize all sample preparation protocols
Use automated systems where possible to maintain consistent timing and temperature
Include internal controls in each experiment
Non-specific Bands in Western Blotting:
Cause: Cross-reactivity, protein degradation, or secondary antibody issues
Solutions:
Increase washing stringency (more washes with higher detergent concentration)
Optimize antibody dilution through titration experiments
Use freshly prepared samples with protease inhibitors
Consider alternative streptavidin conjugates
Proper storage at -20°C or -80°C and avoiding repeated freeze-thaw cycles are critical for maintaining antibody functionality and experimental reproducibility .
Validation of antibody specificity is crucial for experimental rigor. For SIPA1 Antibody, Biotin conjugated, the following methodological validation approaches are recommended:
Expression Modulation Testing:
Generate cellular models with:
SIPA1 knockdown using siRNA or shRNA (see specific sequences in reference 2)
SIPA1 knockout using CRISPR-Cas9
SIPA1 overexpression using appropriate vectors
Compare antibody signal across these models using western blot or immunofluorescence
Confirm signal reduction in knockdown/knockout samples and enhancement in overexpression samples
Multiple Antibody Verification:
Test multiple antibodies targeting different SIPA1 epitopes
Compare staining patterns and signal intensities
Confirm concordance between different antibodies
Antibody Absorption Test:
Pre-incubate SIPA1 Antibody, Biotin conjugated with excess immunizing peptide (competitive binding)
Apply both absorbed and non-absorbed antibody to identical samples
Confirm signal reduction or elimination in the absorbed antibody condition
Mass Spectrometry Verification:
Perform immunoprecipitation using SIPA1 Antibody, Biotin conjugated
Analyze precipitated proteins by mass spectrometry
Confirm SIPA1 presence and identify any cross-reacting proteins
These validation steps ensure experimental reliability and data reproducibility when working with SIPA1 Antibody, Biotin conjugated .
Multiplexing enables simultaneous analysis of SIPA1 with other relevant markers, providing comprehensive insights into biological processes. When using SIPA1 Antibody, Biotin conjugated in multiplex assays, consider these methodological approaches:
Fluorescence Multiplexing Strategy:
Select compatible fluorophores with minimal spectral overlap
Employ tyramide signal amplification (TSA) for sequential detection:
Apply SIPA1 Antibody, Biotin conjugated first
Detect with streptavidin-HRP and appropriate tyramide-fluorophore
Perform heat-mediated antibody stripping (95°C in citrate buffer)
Repeat with additional primary antibodies
Chromogenic Multiplexing Approach:
Use distinct chromogens for each target (DAB, AEC, Vector Blue)
Perform sequential staining with intermediate antibody stripping steps
Optimize antibody concentration to achieve balanced signal intensity
Technical Considerations:
| Factor | Recommendation | Rationale |
|---|---|---|
| Antibody Dilution | Increase by 1.5-2× compared to single staining | Reduces cross-reactivity |
| Incubation Time | Extend by 25-50% | Ensures complete binding |
| Blocking | Use multi-species blocking reagent | Prevents non-specific binding |
| Washing | Add additional washing cycles | Reduces background |
| Controls | Include single-stained samples | Verifies specificity |
Biomarker Selection Strategy:
Cell type markers: CD45 (immune cells), CD31 (endothelial cells)
Functional markers: Ki-67 (proliferation), cleaved caspase-3 (apoptosis)
Pathway markers: pERK, pAKT (signaling), E-cadherin (EMT)
For analysis of SIPA1's role in cancer, consider multiplexing with markers implicated in the Rap signaling pathway, such as Rap1, RapGEF1, or downstream effectors like BRAF or MEK .
SIPA1 has been identified as a candidate for the metastasis efficiency modifier locus Mtes1, suggesting a potential role in cancer metastasis . SIPA1 Antibody, Biotin conjugated offers several methodological approaches to advance understanding in this area:
Patient-Derived Xenograft (PDX) Studies:
Establish PDX models from primary tumors and matched metastatic lesions
Analyze SIPA1 expression patterns using biotin-conjugated antibody
Correlate expression with metastatic potential and clinical outcomes
Identify patient subgroups with distinct SIPA1 expression patterns
Circulating Tumor Cell (CTC) Analysis:
Isolate CTCs from patient blood samples
Characterize SIPA1 expression in CTCs versus primary tumor cells
Correlate SIPA1 levels with metastatic progression
Develop potential prognostic indicators based on SIPA1 expression
Metastatic Niche Investigation:
Analyze SIPA1 expression in pre-metastatic niches using organ-specific models
Investigate SIPA1-dependent modifications to the metastatic microenvironment
Identify potential therapeutic targets within the SIPA1-regulated pathways
These approaches could reveal mechanisms by which SIPA1 influences metastatic potential and identify novel therapeutic opportunities for preventing metastasis in various cancer types .
SIPA1 has been implicated in developmental biology and stem cell research, with SIPA1 Antibody, Biotin conjugated offering methodological approaches to explore these emerging areas:
Developmental Expression Profiling:
Analyze SIPA1 expression patterns during embryonic development using whole-mount immunostaining
Create developmental timelines of SIPA1 expression across different tissues
Correlate expression patterns with key developmental events and lineage specification
Stem Cell Differentiation Studies:
Track SIPA1 expression during stem cell differentiation into various lineages
Correlate expression changes with differentiation markers
Manipulate SIPA1 levels to assess effects on differentiation potential
Investigate SIPA1's interaction with stem cell regulatory networks
Organoid Models:
Generate organoids from tissues of interest
Analyze SIPA1 expression patterns using confocal microscopy
Modulate SIPA1 expression to assess effects on organoid development
Correlate findings with in vivo developmental processes
These applications could reveal novel insights into SIPA1's role in development and stem cell biology, potentially identifying new therapeutic targets for developmental disorders or regenerative medicine applications .
SIPA1's function as a GTPase-activating protein positions it as an important regulator within signal transduction networks. SIPA1 Antibody, Biotin conjugated enables several methodological approaches to dissect these complex signaling relationships:
Phosphoproteomic Analysis:
Immunoprecipitate SIPA1 using biotin-conjugated antibody
Analyze phosphorylation status of SIPA1 and associated proteins
Map SIPA1-dependent phosphorylation events following cellular stimulation
Identify kinases and phosphatases regulating SIPA1 activity
Interactome Mapping:
Perform proximity-dependent biotin identification (BioID) by fusing SIPA1 with a biotin ligase
Identify proximal proteins using streptavidin pull-down
Confirm interactions using co-immunoprecipitation with SIPA1 Antibody, Biotin conjugated
Construct interaction networks to identify novel SIPA1 partners
Signaling Pathway Analysis:
| Pathway | SIPA1 Role | Investigation Method |
|---|---|---|
| Rap1/Rap2 | GTPase activator | Rap activation assays with SIPA1 modulation |
| MAPK | Potential regulator | Phospho-ERK analysis following SIPA1 knockdown |
| Cell Cycle | Regulator of progression | Flow cytometry with SIPA1/cell cycle marker co-staining |
| Integrin Signaling | Possible involvement | Adhesion assays with SIPA1 expression modulation |
Real-time Signaling Dynamics:
Generate SIPA1-fluorescent protein fusion constructs
Monitor protein localization and dynamics using live-cell imaging
Correlate with signaling events using appropriate biosensors
Validate observations using fixed-cell analysis with SIPA1 Antibody, Biotin conjugated
These approaches can provide comprehensive insights into SIPA1's position within cellular signaling networks and identify potential therapeutic intervention points for diseases involving dysregulated SIPA1 function .