sgsm3 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
sgsm3 antibody; rutbc3 antibody; Small G protein signaling modulator 3 antibody; RUN and TBC1 domain-containing protein 3 antibody
Target Names
sgsm3
Uniprot No.

Q&A

What is SGSM3 and what cellular functions does it regulate?

SGSM3 (Small G Protein Signaling Modulator 3) is a protein that plays significant roles in cell signaling pathways. Research indicates that SGSM3 interacts with Connexin 43 (Cx43) in mesenchymal stem cells (MSCs) under varying oxygen conditions. This interaction appears to be crucial in regulating cell death and survival mechanisms that are independent of cell-to-cell communication . SGSM3 has been implicated in myocardial infarction in rat heart models and influences processes related to cardiomyocyte differentiation .

The protein functions as a modulator of small G protein signaling, and its knockdown has been shown to inhibit apoptosis and affect cardiomyocyte differentiation pathways under hypoxic stress conditions . Additionally, SGSM3 interacts with the Wnt/β-catenin signaling pathway, suggesting its involvement in stem cell biology and differentiation processes .

What types of SGSM3 antibodies are available for research applications?

Several types of SGSM3 antibodies are available for research purposes, including:

  • Target-specific antibodies: Antibodies targeting specific regions of SGSM3, such as N-Terminal, Internal Region, or particular amino acid sequences (e.g., AA 699-749, AA 30-80) .

  • Host species variations: Primarily developed in rabbit as polyclonal antibodies, though the specific host can vary depending on the manufacturer .

  • Application-optimized antibodies: Different formulations optimized for specific applications such as Western Blotting, Immunohistochemistry, ELISA, Immunofluorescence, and Immunoprecipitation .

Most commercially available SGSM3 antibodies are polyclonal and unconjugated, though specific characteristics vary between products. Some antibodies are designed to detect multiple isoforms of SGSM3, while others are engineered to avoid cross-reactivity with other SGSM family proteins .

How does SGSM3 interact with other proteins in cellular pathways?

SGSM3 demonstrates significant interaction with several important cellular proteins:

  • Connexin 43 (Cx43): Research using coimmunoprecipitation (CoIP) assays, peptide mass fingerprinting (PMF) analysis, and network analysis via GeneMANIA has confirmed direct interaction between SGSM3 and Cx43 in rat MSCs and heart tissue . This interaction appears to be oxygen-dependent, with expression patterns changing under hypoxic conditions.

  • ZO-1 (Tight Junction Protein 1): SGSM3 knockdown significantly affects ZO-1 expression, suggesting a functional relationship between these proteins .

  • HIF1α: While SGSM3 knockdown increases HIF1α expression, HIF1a knockdown does not affect SGSM3 expression, indicating a unidirectional regulatory relationship .

  • Wnt/β-catenin pathway components: SGSM3 knockdown decreases Wnt-3 and β-catenin/p-β-catenin expression while increasing p-glycogen synthase kinase 3β (GSK3β) expression under hypoxic conditions, demonstrating its involvement in this critical signaling pathway .

These interactions place SGSM3 at a crucial junction in cellular signaling networks related to stem cell differentiation and response to hypoxic stress.

What are the optimal conditions for using SGSM3 antibodies in Western blot applications?

Based on the available research data, the following protocol is recommended for Western blot applications using SGSM3 antibodies:

  • Antibody concentration: For primary antibody incubation, a concentration of 1-2 μg/mL is typically optimal for most SGSM3 antibodies, though some manufacturers recommend dilutions ranging from 1:500 to 1:2000 .

  • Buffer conditions: Phosphate-buffered saline (PBS) with 0.02% sodium azide is commonly used for antibody dilution .

  • Blocking solution: 1% bovine serum albumin (BSA) in PBS with Tween-20 (PBS-T) is recommended for blocking nonspecific binding sites .

  • Target protein detection: SGSM3 has an observed molecular weight of approximately 85 kDa, which should be considered when analyzing Western blot results .

  • Special considerations: When investigating SGSM3 in hypoxic conditions, it's important to note that expression patterns change significantly based on exposure time. The optimal harvesting time for cells after hypoxic stress is approximately 12 hours, when the differential expression between normoxic and hypoxic conditions is most distinct .

How can SGSM3 antibodies be effectively used in immunofluorescence studies?

For immunofluorescence applications using SGSM3 antibodies, researchers should follow these methodological guidelines:

  • Cell preparation:

    • Grow cells on cell culture slides

    • Fix with 4% formaldehyde

    • Wash with PBS

    • Permeabilize with 0.25% Triton X-100

  • Blocking and antibody incubation:

    • Block with 1% BSA in PBS-T for 1 hour

    • Incubate with SGSM3 antibody (recommended dilution: 1:100 - 1:200)

    • Wash thoroughly with PBS (three times)

    • Incubate with fluorochrome-conjugated secondary antibody (typically 1:1000 dilution)

    • Counterstain nuclei with DAPI

  • Visualization:

    • Observe using confocal laser scanning microscopy

    • Acquire images using appropriate software (e.g., Zen black or blue)

  • Co-localization studies: To investigate SGSM3 interaction with other proteins (such as Cx43), a dual immunofluorescence approach can be used with different fluorochrome-conjugated secondary antibodies .

  • Controls: Include appropriate negative controls (omitting primary antibody) and positive controls (tissues/cells known to express SGSM3) to validate specificity of staining.

What are the reconstitution and storage requirements for lyophilized SGSM3 antibodies?

Proper handling of lyophilized SGSM3 antibodies is essential for maintaining antibody integrity and experimental reproducibility:

  • Reconstitution protocol:

    • Reconstitute in 100 μl of sterile distilled H₂O with 50% glycerol

    • After reconstitution, the concentration is typically 1 mg/ml

    • Allow the lyophilized protein to dissolve completely during reconstitution

  • Storage conditions:

    • Store reconstituted antibody at -20°C

    • Avoid repeated freeze/thaw cycles, as this can lead to denaturation and loss of antibody activity

    • For short-term storage (less than one week), antibodies can be kept at 4°C

  • Aliquoting recommendation:

    • Divide reconstituted antibody into single-use aliquots

    • This prevents repeated freeze/thaw cycles and potential contamination

  • Buffer composition:

    • Prior to lyophilization, antibodies are typically in a buffer containing 0.02% NaN₃ (sodium azide) as a preservative

    • This should be taken into consideration when designing experiments, as sodium azide can inhibit certain enzymatic reactions

How can SGSM3 knockdown experiments be designed to study its role in cellular pathways?

Designing effective SGSM3 knockdown experiments requires careful consideration of several methodological aspects:

  • siRNA transfection protocol:

    • Use TransIT-X2 Dynamic Delivery System or similar transfection reagent

    • Transfect cells with SGSM3 siRNA at 100 nM per dish with appropriate transfection agent (45 μl per dish)

    • Allow 24 hours for effective knockdown before proceeding with experimental treatments

  • Experimental groups design:

    • Control (non-targeting siRNA)

    • SGSM3 knockdown

    • Additional relevant gene knockdowns (e.g., HIF1α) for pathway analysis

    • Each group under both normoxic and hypoxic conditions

  • Validation of knockdown efficiency:

    • Confirm knockdown at both mRNA level (using RT-qPCR) and protein level (using Western blot)

    • Monitor expression at multiple time points to determine optimal experimental window

  • Functional assays:

    • Cell viability: Use Ez-Cytox Colorimetric Cell Viability Assay or similar water-soluble tetrazolium salt-based assays

    • Apoptosis markers: Measure cytochrome C, caspase-3, and caspase-9 levels by immunoblotting

    • Differentiation markers: Assess cardiomyogenic factors (cardiac troponin T, GATA4) using immunofluorescence and Western blot

    • Signaling pathway components: Analyze Wnt-3, β-catenin/p-β-catenin, and p-GSK3β expression

  • Hypoxic conditions:

    • Expose cells to hypoxic stress for 12 hours after 24 hours of siRNA transfection

    • This timepoint shows distinct differential expression patterns between normoxic and hypoxic conditions

What experimental approaches can be used to investigate SGSM3-Cx43 interactions?

To investigate the interaction between SGSM3 and Connexin 43 (Cx43), researchers can employ several complementary techniques:

  • Coimmunoprecipitation (CoIP) assay:

    • Use SGSM3 antibody to pull down the protein complex

    • Analyze the precipitate for the presence of Cx43 by Western blot

    • Perform reciprocal CoIP using Cx43 antibody to confirm interaction

  • Peptide mass fingerprinting (PMF) analysis:

    • Perform mass spectrometry on immunoprecipitated protein complexes

    • Identify proteins interacting with SGSM3 or Cx43

  • Network analysis using bioinformatics tools:

    • Use tools like GeneMANIA to validate correlation between SGSM3 and Cx43

    • Identify additional partner proteins in the interaction network

  • Proximity ligation assay (PLA):

    • Detect protein-protein interactions in situ with high specificity and sensitivity

    • Allows visualization of interactions within intact cells

  • Combined knockdown experiments:

    • Perform individual and simultaneous knockdown of SGSM3 and Cx43

    • Analyze effects on downstream pathways to determine functional relationship

    • Compare protein expression profiles under normoxic and hypoxic conditions

  • Dual immunofluorescence microscopy:

    • Visualize co-localization of SGSM3 and Cx43 in cells

    • Analyze changes in co-localization patterns under different oxygen conditions

How does SGSM3 influence the Wnt/β-catenin signaling pathway under hypoxic conditions?

Research has revealed important insights into how SGSM3 affects the Wnt/β-catenin pathway under hypoxic conditions:

  • Effects of SGSM3 knockdown on pathway components:

    • Decreases Wnt-3 expression

    • Reduces both β-catenin and phosphorylated β-catenin levels

    • Increases phosphorylated glycogen synthase kinase 3β (GSK3β) expression

  • Functional implications:

    • The Wnt/β-catenin signaling pathway is critical in stem cell biology

    • It plays a crucial role in cardiomyogenesis via both canonical and noncanonical signaling

    • β-catenin, related to the canonical Wnt pathway, is a feature of Wnt signaling activation

    • GSK3β functions as an intracellular inhibitor of the Wnt/β-catenin pathway and may block differentiation in stem cells

  • Relationship to cardiogenic differentiation:

    • SGSM3 knockdown attenuates cardiogenic differentiation in rat MSCs

    • This effect appears to be mediated through a Wnt/β-catenin-dependent pathway

    • SGSM3 knockdown significantly decreases the expression of cardiomyocyte differentiation-related proteins under hypoxia

  • Research methodology:

    Experimental ApproachKey FindingsImplications
    SGSM3 siRNA knockdown followed by hypoxic exposureDecreased Wnt-3 and β-catenin; Increased p-GSK3βSGSM3 is required for Wnt signaling activation under hypoxia
    Analysis of cardiomyogenic markers after SGSM3 KDReduced expression of cardiac differentiation markersSGSM3 promotes cardiomyocyte differentiation via Wnt pathway
    Immunofluorescent staining for cardiac troponin T and GATA4Decreased expression after SGSM3 knockdownVisual confirmation of reduced differentiation potential

What are common challenges in SGSM3 antibody applications and how can they be addressed?

Researchers frequently encounter several challenges when working with SGSM3 antibodies. Here are solutions for common issues:

  • High background in Western blot:

    • Increase blocking time (1-2 hours) with 5% non-fat dry milk or BSA

    • Reduce primary antibody concentration (try 1:1000 - 1:2000 dilutions)

    • Add 0.1-0.5% Tween-20 to washing buffer

    • Increase washing duration and number of washes

  • Weak or no signal in Western blot:

    • Optimize protein loading (30-50 μg total protein)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Use enhanced chemiluminescence (ECL) detection with longer exposure times

    • Confirm SGSM3 expression in your sample type (observed MW: 85 kDa)

  • Non-specific bands:

    • Use highly purified antibodies (immunoaffinity purified)

    • Include appropriate positive and negative controls

    • Remember that multiple isoforms of SGSM3 are known to exist

    • Verify that the antibody is specific and not predicted to cross-react with other SGSM family proteins

  • Poor immunostaining results:

    • Optimize fixation method (4% paraformaldehyde for 15-20 minutes)

    • Ensure adequate permeabilization (0.25% Triton X-100)

    • Test different antibody dilutions (1:100 - 1:200 range for IHC applications)

    • Extend primary antibody incubation time (overnight at 4°C)

  • Variable results between experiments:

    • Standardize lysate preparation methods

    • Prepare master mixes of antibody dilutions

    • Use consistent incubation times and temperatures

    • Avoid repeated freeze/thaw cycles of antibodies

How should SGSM3 antibody dilutions be optimized for different experimental techniques?

Optimizing antibody dilutions is critical for obtaining reliable results across different techniques:

ApplicationRecommended Dilution RangeOptimization Strategy
Western Blot1:500 - 1:2000Start with 1:1000, adjust based on signal intensity and background
IHC1:100 - 1:200Begin with 1:100, increase dilution if background is high
ELISA1:20000 - 1:80000Use serial dilutions to determine optimal concentration
Immunofluorescence1:100 - 1:500Start with 1:200, adjust based on signal-to-noise ratio

For systematic optimization:

  • Gradient dilution test:

    • Prepare a series of dilutions covering the recommended range

    • Run parallel experiments with identical samples

    • Select the dilution that provides optimal signal-to-noise ratio

  • Sample-specific considerations:

    • Cell lines may require different dilutions than tissue sections

    • Fresh tissues often require higher dilutions than fixed samples

    • Expression levels vary between cell types and experimental conditions

  • Blocking optimization:

    • Test different blocking agents (BSA, normal serum, commercial blockers)

    • Vary blocking time (30 minutes to 2 hours)

    • Determine if adding blocking agent to antibody diluent improves results

  • Validation across lots:

    • Different antibody lots may require adjustment of optimal dilutions

    • Always validate new lots against previously optimized protocols

What controls should be included when using SGSM3 antibodies in experimental protocols?

Robust experimental design requires appropriate controls to ensure reliable interpretation of results:

  • Positive controls:

    • Samples known to express SGSM3 (human cell lines)

    • Recombinant SGSM3 protein

    • These validate that the antibody detection system is working properly

  • Negative controls:

    • Samples known not to express SGSM3

    • Antibody diluent only (no primary antibody)

    • These help identify non-specific binding and background signals

  • Specificity controls:

    • Pre-absorption with immunizing peptide (if available)

    • Comparative testing with alternative SGSM3 antibodies targeting different epitopes

    • These confirm that the observed signal is truly SGSM3

  • Loading controls (for Western blot):

    • Housekeeping proteins (β-actin, GAPDH, tubulin)

    • Total protein stains (Ponceau S, SYPRO Ruby)

    • These normalize for variations in protein loading

  • Knockdown validation:

    • SGSM3 siRNA treatment reduces or eliminates the signal

    • Non-targeting siRNA maintains normal signal levels

    • These confirm antibody specificity for the target protein

  • Treatment controls:

    • For hypoxia experiments, include both normoxic and hypoxic samples

    • Harvest cells at multiple time points to identify optimal experimental windows

    • These enable proper interpretation of treatment effects

How should researchers interpret conflicting SGSM3 expression results between mRNA and protein levels?

When faced with discrepancies between SGSM3 mRNA and protein expression data, consider these interpretative approaches:

  • Temporal dynamics:

    • Under hypoxic conditions, gene and protein expression patterns of SGSM3 show different timing

    • The hypoxia time point with maximum or minimum expression differs between mRNA and protein levels

    • Time-course experiments with matched mRNA and protein sampling are essential

  • Post-transcriptional regulation:

    • SGSM3 may be subject to microRNA regulation, affecting translation efficiency

    • Protein stability and degradation rates influence steady-state levels

    • Investigate potential regulatory mechanisms using pathway inhibitors

  • Technical considerations:

    • Different sensitivities of detection methods (qPCR vs. Western blot)

    • Antibody specificity issues (ensure the antibody detects all relevant isoforms)

    • Standardization discrepancies (reference genes vs. loading controls)

  • Methodological approach to resolve discrepancies:

    • Use multiple antibodies targeting different epitopes

    • Employ absolute quantification methods where possible

    • Include appropriate controls for both mRNA and protein analysis

    • Consider polysome profiling to assess translation efficiency

  • Biological significance:

    • Discrepancies often reflect important regulatory mechanisms

    • Focus on functional outcomes in addition to expression levels

    • Correlate with phenotypic effects (e.g., apoptosis, differentiation)

What are the implications of SGSM3's role in mesenchymal stem cells for regenerative medicine?

Research on SGSM3 in mesenchymal stem cells reveals important implications for regenerative medicine applications:

  • Cell survival and therapeutic efficacy:

    • SGSM3 knockdown significantly prevents cell death under hypoxic conditions

    • SGSM3 KD remarkably inhibits increases in apoptosis markers (cytochrome C, caspase-3, caspase-9)

    • This suggests that controlling SGSM3 expression could enhance MSC survival in therapeutic applications

  • Cardiomyocyte differentiation:

    • SGSM3 knockdown significantly decreases the expression of cardiomyocyte differentiation-related proteins under hypoxia

    • This indicates that SGSM3 may be required for proper differentiation of MSCs into cardiac lineages

  • Therapeutic potential in cardiovascular disease:

    • SGSM3 may have dual effects: promoting cell survival but potentially hindering differentiation

    • Researchers should consider this balance when developing MSC-based therapies

    • As stated in the research: "SGSM3/Sgsm3 probably has an effect on MSC survival and thus therapeutic potential in diseased hearts, but SGSM3 may worsen the development of MSC-based therapeutic approaches in regenerative medicine"

  • Future therapeutic strategies:

    • Temporal modulation of SGSM3 expression might optimize both survival and differentiation

    • Combined approaches targeting SGSM3 and its partner proteins could provide more precise control

    • Tissue-specific or context-dependent regulation of SGSM3 may be necessary

How can researchers integrate SGSM3 antibody data with other -omics approaches for comprehensive pathway analysis?

Modern research benefits from integrating antibody-based protein data with other -omics approaches:

  • Multi-omics integration strategies:

    • Combine SGSM3 protein expression data (Western blot, IHC) with transcriptomics (RNA-seq)

    • Integrate with proteomics data from mass spectrometry

    • Include metabolomics to assess downstream functional effects

    • Incorporate phosphoproteomics to analyze signaling pathway activation

  • Network analysis approaches:

    • Use tools like GeneMANIA to validate correlations between SGSM3 and partner proteins

    • Construct protein-protein interaction networks from CoIP and PMF data

    • Apply pathway enrichment analysis to identify biological processes affected by SGSM3

  • Temporal dynamics analysis:

    • Generate time-course data across multiple -omics platforms

    • Identify sequential events in SGSM3-related signaling cascades

    • Map expression changes to functional outcomes (e.g., apoptosis, differentiation)

  • Advanced computational methods:

    • Apply machine learning algorithms to identify patterns across datasets

    • Use differential network analysis to compare normoxic vs. hypoxic conditions

    • Implement Bayesian network inference to establish causal relationships

  • Validation strategies:

    • Confirm key findings with orthogonal methods

    • Use gene editing (CRISPR/Cas9) to validate critical nodes in the network

    • Apply small molecule inhibitors to test functional relationships

By integrating antibody-based data with other -omics approaches, researchers can achieve a more comprehensive understanding of SGSM3's role in cellular signaling networks and its implications for regenerative medicine.

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