CSF3 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
CSF3 antibody; Granulocyte colony-stimulating factor antibody; G-CSF antibody
Target Names
Uniprot No.

Target Background

Function
Granulocyte/macrophage colony-stimulating factors (GM-CSFs) are cytokines that play a crucial role in hematopoiesis. They regulate the production, differentiation, and function of two closely related white blood cell populations: granulocytes and monocytes-macrophages. This specific CSF induces the production of granulocytes.
Database Links
Protein Families
IL-6 superfamily
Subcellular Location
Secreted.

Q&A

What is the optimal application range for different types of CSF3 antibodies?

CSF3 antibodies vary in their optimal applications based on host species, clonality, and production methods. Based on current research protocols, the following application guidelines should be considered:

Antibody TypeOptimal ApplicationsRecommended DilutionsValidated Species Reactivity
Polyclonal (Rabbit)WB, ELISA, IHC-PWB: 1:500-1:1000, IHC-P: 1:50-1:200Human, Mouse, Rat
Monoclonal [CSF3/900]Flow Cytometry, IF, IHC-PFlow: 1-2 μg/million cells, IF: 1-2 μg/ml, IHC-P: 1-2 μg/mlHuman, Macaque Monkey

For CSF3 neutralization experiments, antibody concentrations of 100 μg/ml have been validated to completely neutralize high concentrations of CSF3 without cytotoxicity, as measured by lactate dehydrogenase analysis (showing <1% cytotoxicity compared to Triton X-treated positive controls) . When designing experiments, it's critical to confirm antibody specificity through appropriate controls, including isotype controls (mouse IgG for monoclonal and rabbit IgG for polyclonal antibodies).

How should researchers validate CSF3 antibody specificity in their experimental systems?

Validation should employ multiple complementary approaches:

  • Molecular weight verification: Human CSF3 is a 207 amino acid precursor containing a 29 amino acid signal peptide that is proteolytically cleaved to form a 178 amino acid mature protein . Confirm the molecular weight matches expected size by Western blot.

  • Positive and negative control samples: Include known positive samples (HL-60 cell line, 293T cells, and mouse liver tissue have been validated) and negative controls.

  • Knockdown/overexpression validation: Compare antibody signals in wild-type versus CSF3-silenced cells. Research has validated this approach using shCSF3 lentiviral constructs in HCT 116 and RKO cell lines, where both qRT-PCR and western blot confirmed decreases in CSF3 mRNA and protein levels .

  • Cross-reactivity testing: Examine antibody performance across multiple species when conducting comparative studies. The rabbit polyclonal antibody CAB6178 has demonstrated reactivity with human, mouse, and rat samples, while also showing predicted reactivity in cow, sheep, and pig systems .

How can CSF3 neutralizing antibodies be effectively employed to investigate inflammatory pathways?

CSF3 neutralizing antibodies serve as powerful tools for dissecting the specific contribution of CSF3 in complex inflammatory processes. Methodological approach:

  • Dose optimization: Start with a titration series (10-100 μg/ml) to identify the minimum concentration needed for effective neutralization. Research has shown that 10 μg/ml of CSF3 neutralizing antibody neutralizes 50% of the bioactivity of 0.125 ng/ml of recombinant human CSF3 .

  • Efficacy verification: Measure downstream neutrophil activation markers or proliferation assays to confirm functional neutralization.

  • Control implementation: Include matched isotype controls (mouse IgG for CSF3 neutralizing antibody) at equivalent concentrations.

  • Cytotoxicity assessment: Always perform parallel cytotoxicity assays (LDH release, Trypan blue exclusion) to ensure observed effects are not due to cell death. Research has confirmed that at 100 μg/ml, CSF3 neutralizing antibody shows no signs of cell death or toxicity .

  • Combination studies: In models of neutrophilic airway inflammation, researchers have demonstrated that anti-CSF3 neutralizing antibody decreases airway neutrophilia and neutrophil-promoting gene expression, rendering dexamethasone sensitivity in treated mice . This approach can be adapted to investigate other inflammatory conditions.

What are the best methodological approaches for using CSF3 antibodies in cancer research?

CSF3 overexpression has been associated with poor prognosis in colorectal cancer. Researchers should consider these methodological approaches:

  • Tissue microarray (TMA) analysis: Utilize CSF3 antibodies for IHC on patient-derived TMAs to correlate expression with clinical outcomes. A CRC tissue microarray including 91 CRC samples and 104 para-carcinoma tissues revealed that 57.1% of tumor tissues had high CSF3 expression compared to only 10.6% of para-carcinoma tissues (p<0.001) .

  • Prognostic correlation: Link CSF3 expression levels with clinical parameters through comprehensive statistical analysis. Research has shown significant correlations between high CSF3 expression and advanced tumor stage (p=0.003), lymph node invasion (p=0.014), and patient age above 60 years (p=0.014) .

  • Functional validation in cancer models: Implement CSF3 knockdown studies through shRNA approaches:

    • Transfect cancer cells (e.g., HCT 116, RKO) with validated shCSF3 constructs

    • Confirm knockdown efficacy via qRT-PCR and Western blot

    • Assess functional consequences through proliferation assays (CCK-8), colony formation assays, apoptosis measurement (flow cytometry), and migration analysis (wound-healing assay)

  • In vivo validation: Establish xenograft models using CSF3-silenced cancer cells to evaluate tumor growth dynamics, followed by IHC analysis of harvested tumors for CSF3 and proliferation markers like Ki67 .

How can researchers investigate the interaction between CSF3 and the NF-κB signaling pathway?

CSF3 has been implicated in activating the NF-κB pathway in colorectal cancer. A comprehensive methodological approach includes:

  • Pathway component analysis: Assess phosphorylation status of key NF-κB pathway components (particularly p65) in CSF3-manipulated cells using phospho-specific antibodies.

  • Ubiquitination assays: Implement immunoprecipitation techniques to examine CSF3's effect on IκBα ubiquitination:

    • Lyse cells in RIPA buffer containing proteasome inhibitor MG132

    • Perform immunoprecipitation using anti-IκBα antibody

    • Resolve by SDS-PAGE and blot with anti-ubiquitin antibody

    • Strip and reprobe with anti-CSF3 antibody to confirm expression levels

  • Functional rescue experiments: Combine CSF3 silencing with constitutively active NF-κB components to assess pathway dependencies.

  • Co-expression analysis: Utilize bioinformatics tools like Coexpedia to identify co-expressed genes and perform KEGG enrichment analyses to map related pathways .

How can CSF3 antibodies contribute to COVID-19 research methodologies?

Recent studies have identified CSF3 as a potential drug target for COVID-19 treatment. Researchers can implement these approaches:

  • Differential expression analysis: Compare CSF3 expression in infected versus uninfected respiratory cells. Analysis of datasets GSE150819 and GSE147507 identified CSF3 as a consistently upregulated gene across human bronchial organoids, A549, Calu3, and NHBE cell lines infected with SARS-CoV-2 .

  • Gene set enrichment analysis (GSEA): Identify pathways associated with CSF3 expression in infection models. GSEA analysis revealed that the top four positive regulatory pathways of CSF3 were proteasome, Parkinson's disease, oxidative phosphorylation, and Graft vs. host disease; while the top four negative regulatory pathways were mismatch repair, DNA replication, homologous recombination, and inositol phosphate metabolism .

  • Drug screening methodologies:

    • Use CSF3 neutralizing antibodies to validate CSF3 as a therapeutic target

    • Employ in silico approaches to screen FDA-approved drugs targeting CSF3

    • Implement structural biology approaches (X-ray crystallography) to understand binding interactions between drugs and CSF3

  • Antibody-based target validation: Use CSF3 antibodies to confirm drug-target engagement through competitive binding assays.

What are the technical considerations for using CSF3 antibodies in studying the IL-17A/glucocorticoid synergy?

Research has demonstrated synergistic induction of CSF3 expression by IL-17A and glucocorticoids in neutrophilic airway diseases. Key methodological considerations include:

  • Experimental design for synergy studies:

    • Culture relevant cell types with IL-17A alone, glucocorticoid (e.g., dexamethasone) alone, and combination treatment

    • Measure CSF3 expression at both mRNA and protein levels

    • Include appropriate inhibitors (anti-IL-17A mAb or small-molecule blockers like cyanidin-3-glucoside)

  • In vivo validation models:

    • Implement murine models of neutrophilic airway inflammation (e.g., HDM-CFA)

    • Administer treatments (anti-IL-17A, anti-CSF3, or C3G) with and without dexamethasone

    • Evaluate neutrophil counts and neutrophil-promoting gene expression

  • Analysis of steroid sensitivity:

    • Confirm anti-CSF3 antibody efficacy in rendering steroid sensitivity in normally resistant models

    • Monitor expression of steroid-sensitive cytokines (Csf3, Cxcl1, Cxcl2, Il6, Il8, and Tnf) in treated tissues

How can researchers optimize immunohistochemical staining protocols for CSF3 antibodies?

Successful IHC staining for CSF3 requires careful optimization:

  • Antigen retrieval optimization: Test both heat-induced epitope retrieval (HIER) methods with citrate buffer (pH 6.0) and EDTA buffer (pH 9.0) to determine optimal conditions for your specific tissue type.

  • Antibody concentration titration: For polyclonal antibodies, test a range from 1:50 to 1:200; for monoclonal antibodies, optimize between 1-2 μg/ml .

  • Signal amplification considerations: For tissues with low CSF3 expression, implement tyramide signal amplification systems to enhance detection sensitivity.

  • Background reduction strategies:

    • Implement proper blocking with 1-5% BSA or 5-10% normal serum from the same species as the secondary antibody

    • Include 0.1-0.3% Triton X-100 for adequate permeabilization

    • For highly vascularized tissues, pre-treat sections with hydrogen peroxide to block endogenous peroxidases

  • Validation through multiple detection methods: Confirm IHC findings with complementary techniques such as RNAscope or in situ hybridization, particularly when studying tissues with expected low expression levels.

What are the critical factors for successful Western blot detection of CSF3?

Western blot detection of CSF3 presents several technical challenges that require specific optimization:

  • Sample preparation considerations:

    • For secreted CSF3, concentrate cell culture supernatants using centrifugal filter units (10 kDa cut-off)

    • For cellular CSF3, use RIPA buffer with protease inhibitor cocktails

    • Optimize protein loading (typically 20-50 μg of total protein)

  • Antibody selection and dilution:

    • For polyclonal antibodies, use 1:500-1:1000 dilution

    • For monoclonal antibodies, optimize between 1:300-1:5000

  • Membrane blocking optimization:

    • Test both 5% non-fat dry milk and 5% BSA in TBST to determine which provides optimal signal-to-noise ratio

    • Incubate primary antibody at 4°C overnight for maximum sensitivity

  • Detection system selection:

    • For low abundance CSF3, implement high-sensitivity ECL substrates or fluorescent secondary antibodies

    • Consider using HRP-polymer detection systems for enhanced signal

  • Controls implementation:

    • Include positive control lysates (HL-60, 293T cells, mouse liver)

    • Run recombinant CSF3 protein as a migration reference

    • Include CSF3-silenced cell lysates as negative controls

By addressing these technical considerations, researchers can optimize Western blot protocols for consistent and specific detection of CSF3 protein.

How might CSF3 antibodies be employed in developing targeted therapies for cancer and inflammatory diseases?

Current research suggests several promising directions:

  • Therapeutic antibody development:

    • Engineer CSF3-targeting antibodies with optimized affinity and specificity

    • Develop antibody-drug conjugates targeting CSF3-expressing tumor cells

    • Investigate combination therapies with existing immune checkpoint inhibitors

  • Biomarker implementation:

    • Establish standardized IHC protocols for CSF3 detection in tumor biopsies

    • Develop companion diagnostics to identify patients likely to respond to CSF3-targeted therapies

    • Create multiplex assays combining CSF3 with other cancer-associated markers

  • Patient stratification strategies:

    • Correlate CSF3 expression with treatment response in clinical trials

    • Implement CSF3 detection in liquid biopsies for monitoring treatment efficacy

    • Develop predictive algorithms incorporating CSF3 expression for personalized medicine approaches

The development of these applications requires rigorous validation of antibody specificity, reproducibility of detection methods, and correlation with clinical outcomes.

What new methodologies are emerging for studying CSF3 in the single-cell analysis era?

As single-cell technologies advance, new applications for CSF3 antibodies are emerging:

  • Single-cell protein analysis:

    • Implement CSF3 antibodies in mass cytometry (CyTOF) panels

    • Develop optimized protocols for single-cell Western blotting

    • Incorporate CSF3 detection in spatial transcriptomics workflows

  • Multi-omics integration:

    • Correlate single-cell CSF3 protein expression with transcriptomic profiles

    • Implement computational approaches to integrate proteomic and genomic data

    • Develop new analytical pipelines specific for cytokine-producing cells

  • Spatial analysis methodologies:

    • Optimize CSF3 antibodies for multiplexed immunofluorescence imaging

    • Implement clearing techniques for whole-tissue CSF3 visualization

    • Develop quantitative spatial analysis algorithms for CSF3-expressing cells

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