SIPA1 Antibody, Biotin conjugated

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Description

Introduction to SIPA1 and Biotin-Conjugated Antibodies

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) .

Key Features of Biotin-Conjugated SIPA1 Antibodies

ParameterDetailsReferences
Host SpeciesRabbit polyclonal antibodies are most common.
ImmunogenRecombinant human SIPA1 protein (AA 759–927) or synthetic peptides (middle region) .
ConjugateBiotin with a 6-atom spacer (Biotin-SP) for enhanced streptavidin binding.
Purity>95% (Protein G or affinity-purified).
ReactivityHuman (primary), with cross-reactivity noted in monkeys .
ApplicationsWestern blot (WB), ELISA, immunofluorescence (IF), immunoprecipitation (IP).

Storage: Typically stored at -20°C or -80°C in PBS/glycerol buffers. Repeated freeze-thaw cycles compromise activity .

Western Blotting (WB)

  • Protocol:

    1. Sample Preparation: Lysate proteins separated via SDS-PAGE.

    2. Detection: Biotinylated SIPA1 antibody (1:1000–1:6000 dilution) followed by streptavidin-HRP and chemiluminescent substrate .

    3. Observed Bands: ~112–130 kDa (SIPA1’s molecular weight) .

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 .

ELISA

  • Method: Biotinylated SIPA1 antibodies bind immobilized antigens, detected via streptavidin-enzyme conjugates.

  • Advantage: High sensitivity due to signal amplification .

Immunofluorescence (IF)

  • Use Case: Localization of SIPA1 in MCF-7 cells (1:200–1:800 dilution) .

Role in Cancer Progression

  • 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 .

Signal Amplification in Diagnostics

  • Lateral Flow Tests (LFTs): Biotinylated antibodies paired with streptavidin-gold nanoparticles improve sensitivity (e.g., SARS-CoV-2 S1 antigen detection) .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method and location. Please consult your local distributors for specific delivery times.
Synonyms
GTPase activating protein Spa 1 antibody; GTPase-activating protein Spa-1 antibody; MGC102688 antibody; MGC17037 antibody; p130 SPA-1 antibody; p130 SPA1 antibody; Signal induced proliferation associated 1 antibody; Signal induced proliferation associated gene 1 antibody; Signal induced proliferation associated protein 1 antibody; Signal-induced proliferation-associated protein 1 antibody; SIPA 1 antibody; Sipa-1 antibody; Sipa1 antibody; SIPA1_HUMAN antibody; Spa1 antibody
Target Names
Uniprot No.

Target Background

Function
SIPA1 is a GTPase activator that acts on the nuclear Ras-related regulatory proteins Rap1 and Rap2 in vitro. This activation converts Rap1 and Rap2 to their putatively inactive GDP-bound state. SIPA1 also influences cell cycle progression.
Gene References Into Functions
  1. SIPA1 promotes oral squamous cell carcinoma metastasis by regulating the ITGB1 and MMP7. PMID: 28237246
  2. Studies show that SIPA1 mRNA and protein expression are down-regulated in gastric cancer cells and correlate with tumor grading, invasion, and lymph node metastasis. This down-regulation is associated with higher expression of VEGFA. Low SIPA1 levels in gastric cancer might accelerate tumor development and progression by promoting VEGFA expression, leading to increased vascular density. PMID: 28362978
  3. Research suggests that germline polymorphisms in SIPA1 and RRP1B are crucial for breast cancer prognosis. PMID: 26901824
  4. Our findings indicate, for the first time, that the SIPA1 -313A>G polymorphism may have a prognostic role in unresected NSCLC. This polymorphism potentially predicts poor survival due to earlier progression. PMID: 25352027
  5. Nuclear SIPA1 contributes to breast cancer cell invasion through the regulation of integrin beta1 signaling. PMID: 24704834
  6. The BRD4 short isoform interacts with RRP1B, SIPA1, and components of the LINC complex at the inner face of the nuclear membrane. PMID: 24260471
  7. This meta-analysis suggests that rs746429 is associated with the risk of breast cancer. PMID: 24006220
  8. SIPA1 SNPs, rs746429 and rs2306364, were associated with a decreased risk of triple-negative breast tumors. PMID: 23771732
  9. Polymorphism in the Sipa1 promoter gene is associated with lung cancer. PMID: 23661532
  10. Patients with metastatic breast cancer with the SIPA1 545 T/T genotype had a significantly worse overall survival than those with the C/T or C/C genotype (50.0% vs. 62.9%, P = 0.042). PMID: 23358895
  11. SIPA1 expression is increased in human colorectal cancer. PMID: 22990111
  12. In this case-control study, SNPs in SIPA1 varied statistically in cervical cancer patients with and without nodal metastases and in MMP9 after controlling for stage and lymphvascular space invasion. PMID: 19906411
  13. Data identifies a Rap GTPase-activating protein, signal-induced proliferation-associated protein 1 (SPA-1), as a factor that interacts with Brd4. PMID: 15456879
  14. SIPA1 germline polymorphisms are associated with aggressive disease behavior in breast cancer. PMID: 16563182
  15. SPA1 regulates the maintenance and differentiation of embryonic stem cells. PMID: 18033671
  16. It is unlikely that SIPA1 plays a pathogenetic role in the development of juvenile myelomonocytic leukemia. PMID: 18492118
  17. Our results do not support a relationship between SIPA1 polymorphisms and breast cancer risk or subsequent survival. PMID: 19089925
  18. SIPA1 SNP rs3741378 was associated with increased breast cancer incidence. PMID: 19765277

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Database Links

HGNC: 10885

OMIM: 602180

KEGG: hsa:6494

STRING: 9606.ENSP00000377771

UniGene: Hs.530477

Subcellular Location
Nucleus. Cytoplasm, perinuclear region. Endomembrane system; Peripheral membrane protein.
Tissue Specificity
Expressed in fetal as well as in adult tissues. Expressed abundantly in the lymphoid tissues such as thymus, spleen and peripheral blood lymphocytes and also shows a significant expression in the spinal cord.

Q&A

What is SIPA1 and what are its primary functions in cellular processes?

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 .

What are the technical specifications and characteristics of SIPA1 Antibody, Biotin conjugated?

SIPA1 Antibody, Biotin conjugated is typically supplied as a polyclonal antibody in liquid form, with biotin as the conjugate molecule . Key specifications include:

ParameterSpecification
Size50 μg
Host SpeciesRabbit
ClonalityPolyclonal
IsotypeIgG
ImmunogenRecombinant Human Signal-induced proliferation-associated protein 1 protein (759-927AA)
ReactivityHuman
Tested ApplicationsELISA
Purification95%, Protein G purified
Buffer Composition0.03% Proclin 300, 50% Glycerol, 0.01M PBS, pH 7.4
Storage Conditions-20°C or -80°C; avoid repeated freeze-thaw cycles
UniProt IDQ96FS4

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 .

How does biotin conjugation affect antibody performance compared to unconjugated alternatives?

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 .

What are the optimal experimental conditions for using SIPA1 Antibody, Biotin conjugated in ELISA applications?

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 .

How can SIPA1 Antibody, Biotin conjugated be utilized for studying SIPA1's role in cancer progression?

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 .

What controls should be included when using SIPA1 Antibody, Biotin conjugated to ensure experimental validity?

Rigorous experimental design requires appropriate controls when working with SIPA1 Antibody, Biotin conjugated:

Essential Controls:

Control TypePurposeImplementation
Positive ControlConfirms antibody functionalityUse cells/tissues known to express SIPA1 (e.g., specific cancer cell lines)
Negative ControlAssesses non-specific bindingUse cells/tissues lacking SIPA1 expression
Isotype ControlEvaluates background from antibody classApply biotin-conjugated rabbit IgG at matching concentration
Blocking ControlVerifies epitope specificityPre-incubate antibody with immunizing peptide before application
Endogenous Biotin ControlAddresses endogenous biotin interferenceInclude avidin/biotin blocking step or analyze samples without primary antibody
Loading ControlNormalizes for protein quantity variationsUse housekeeping proteins (e.g., GAPDH, β-actin)
SIPA1 Knockdown/KnockoutConfirms antibody specificityCompare 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 .

How can SIPA1 Antibody, Biotin conjugated be employed to investigate SIPA1-Rap signaling interactions?

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 .

What methodological approaches enable studying SIPA1's role in epigenetic regulation and nuclear signaling?

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 .

How does SIPA1 expression correlate with cancer progression markers, and how can this be studied using SIPA1 Antibody, Biotin conjugated?

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 TypeSIPA1 Expression PatternAssociated MarkersClinical Correlation
Colorectal CancerIncreased in tumor vs. normal tissue↓ in poorly-differentiated tumors↓ in patients with lymphatic metastasis
Breast CancerPossible metastasis modifierAssociated with metastatic potentialCorrelation with poor prognosis
Cervical CancerReported involvementUnder investigationPotential 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 .

What are common challenges when using SIPA1 Antibody, Biotin conjugated and how can they be addressed?

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 .

How can researchers validate SIPA1 Antibody, Biotin conjugated specificity for their particular experimental system?

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 .

What are the considerations for multiplexing SIPA1 detection with other biomarkers?

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:

FactorRecommendationRationale
Antibody DilutionIncrease by 1.5-2× compared to single stainingReduces cross-reactivity
Incubation TimeExtend by 25-50%Ensures complete binding
BlockingUse multi-species blocking reagentPrevents non-specific binding
WashingAdd additional washing cyclesReduces background
ControlsInclude single-stained samplesVerifies 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 .

How might SIPA1 Antibody, Biotin conjugated contribute to understanding SIPA1's role in metastasis?

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 .

What are emerging applications for SIPA1 Antibody, Biotin conjugated in developmental biology and stem cell research?

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 .

How can SIPA1 Antibody, Biotin conjugated facilitate investigation of SIPA1's role in signal transduction networks?

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:

PathwaySIPA1 RoleInvestigation Method
Rap1/Rap2GTPase activatorRap activation assays with SIPA1 modulation
MAPKPotential regulatorPhospho-ERK analysis following SIPA1 knockdown
Cell CycleRegulator of progressionFlow cytometry with SIPA1/cell cycle marker co-staining
Integrin SignalingPossible involvementAdhesion 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 .

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