FGF 18 Human, His

Fibroblast Growth Factor-18 Human Recombinant, His Tag
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Description

FGF18 Human Recombinant produced in E.Coli is a single, non-glycosylated, polypeptide chain (Glu28-Ala207) containing 190 amino acids including a 10 aa His tag at N-terminus. The total calculated molecular mass is 22.3kDa.

Product Specs

Introduction

Fibroblast growth factor 18 (FGF18) belongs to the FGF family, a group of at least 23 growth factors. It possesses a central 120-amino acid FGF domain, contributing to a conserved tertiary structure. FGFs play roles during embryonic development and are found in specific adult tissues. FGF-18 is crucial for the development of long bones and the skull. Its signaling occurs through FGFR 1c, 2c, 3c, and 4.

Description
Recombinant Human FGF18, produced in E. coli, is a single, non-glycosylated polypeptide chain encompassing amino acids Glu28 to Ala207 (total 190 amino acids). It includes a 10 amino acid His-tag located at the N-terminus. The calculated molecular mass is 22.3 kDa.
Physical Appearance
White lyophilized powder, filtered for sterility.
Formulation
FGF18 undergoes filtration (0.4µm) and is subsequently lyophilized in a phosphate-buffered saline solution containing 5% w/v trehalose.
Solubility

To prepare a working stock solution, it is advised to add deionized water to achieve a concentration of approximately 0.5mg/ml. Allow the lyophilized pellet to dissolve completely. Note: FGF18 is not sterile. Ensure to filter the product using an appropriate sterile filter before using it in cell cultures.

Stability
Store the lyophilized protein at -20°C. After reconstitution, aliquot the product to prevent repeated freeze-thaw cycles. Reconstituted protein remains stable at 4°C for a limited period; no changes are observed after two weeks at 4°C.
Purity
Densitometric image analysis indicates a purity greater than 95%.
Synonyms
Fibroblast growth factor 18, FGF-18, zFGF5, FGF18.
Source
Escherichia Coli.
Amino Acid Sequence
MKHHHHHHASEENVDFRIHV ENQTRARDDV SRKQLRLYQL YSRTSGKHIQ VLGRRISARG EDGDKYAQLL VETDTFGSQV RIKGKETEFY LCMNRKGKLV GKPDGTSKEC VFIEKVLENN YTALMSAKYS GWYVGFTKKG RPRKGPKTRE NQQDVHFMKR YPKGQPELQK PFKYTTVTKR SRRIRPTHPA.

Q&A

What is the molecular structure of human FGF-18 and how does it differ from other FGF family members?

Human Fibroblast Growth Factor-18 (FGF-18) is a 24 kDa heparin-binding growth factor belonging to the FGF family. It was first discovered in 1998 and shares closest sequence homology with FGF-8, belonging to the FGF8 subfamily that includes FGF8, FGF17, and FGF18 . The protein is structurally conserved between humans and mice, showing distinctive features that determine its receptor binding specificity.

To characterize FGF-18 structurally in your research, methods should include:

  • X-ray crystallography for three-dimensional structure determination

  • Circular dichroism spectroscopy for secondary structure analysis

  • Mass spectrometry for accurate molecular weight determination

  • Sequence analysis using bioinformatics tools to compare conservation patterns with other FGF family members

The protein's structure directly affects its binding preferences for FGF receptors, with FGF-18 preferentially binding to FGFR 3c, followed by 4Δ, 2c, 1c, and finally 3b . This receptor binding selectivity differentiates FGF-18 from other members and explains its tissue-specific activities.

What are the primary signaling pathways activated by FGF-18 and how can they be experimentally validated?

FGF-18 primarily signals through the FGFR family receptors (FGFR 1c, 2c, 3c, and 4), with strongest affinity for FGFR 3c . Upon binding, these receptors activate several downstream signaling cascades including:

  • MAPK/ERK pathway

  • PI3K/AKT pathway

  • PLCγ/PKC pathway

  • STAT signaling

To experimentally validate these pathways in your research, consider:

  • Phosphorylation assays: Western blotting with phospho-specific antibodies to detect activation of key pathway components

  • Selective inhibitors: Use pathway-specific inhibitors (e.g., U0126 for MEK/ERK, LY294002 for PI3K) to confirm pathway involvement

  • Reporter gene assays: Transfect cells with pathway-responsive reporter constructs

  • RNA interference: Use siRNA to knock down specific pathway components

  • Proximity ligation assays: To detect protein-protein interactions in the signaling cascade

The binding of FGF-18 to its receptors is heparin/heparan sulfate-dependent, as demonstrated in studies showing that cell-associated heparan sulfate is required for FGF-18-stimulated proliferation in NIH 3T3 fibroblasts . This dependency should be considered when designing signaling experiments.

What are the optimal methods for producing and purifying recombinant human FGF-18 for research applications?

Producing high-quality recombinant human FGF-18 (rhFGF-18) requires careful consideration of expression systems and purification strategies. Based on research protocols:

Expression Systems:

  • E. coli: Most commonly used for cost-effective production, though requires optimization to address potential issues with protein folding

  • Mammalian cells: Provides proper post-translational modifications but at higher cost

  • Insect cells: Offers a balance between proper folding and cost-effectiveness

Purification Protocol:

  • Initial clarification: Centrifugation of lysed cells at 15,000g for 30 minutes

  • Affinity chromatography: Using heparin-Sepharose columns (taking advantage of FGF-18's heparin-binding properties)

  • Ion exchange chromatography: To remove contaminants based on charge differences

  • Size exclusion chromatography: Final polishing step for high purity

Quality Control Methods:

  • SDS-PAGE for purity assessment (>95% purity recommended)

  • Western blot using anti-FGF-18 antibodies for identity confirmation

  • Mass spectrometry for molecular weight verification

  • Biological activity testing using cell proliferation assays with NIH 3T3 cells

For His-tagged FGF-18, Ni-NTA affinity chromatography can be substituted for the initial purification step, followed by tag removal if necessary for the intended application.

What are the most reliable assays for measuring FGF-18 biological activity in different experimental models?

Several validated assays can be used to measure FGF-18 biological activity, depending on the tissue system and research question:

Cell Proliferation Assays:

  • NIH 3T3 fibroblast proliferation: The gold standard assay, as FGF-18 stimulates proliferation in these cells in a heparan sulfate-dependent manner

  • Hepatocyte proliferation: Measures one of FGF-18's primary target tissues

  • Intestinal epithelial cell proliferation: Another primary target for FGF-18 activity

Chondrogenesis Assays:

  • Cartilage explant cultures: Measures proteoglycan synthesis and extracellular matrix production

  • Mesenchymal stem cell differentiation: Assesses chondrogenic differentiation potential

  • Collagen type II expression: Using RT-PCR or immunohistochemistry to quantify expression levels

In Vivo Methods:

  • Organ weight measurements: Following FGF-18 administration, liver and small intestine show significant weight gains

  • BrdU or Ki67 staining: For analysis of cell proliferation in tissue sections

  • Cartilage repair scoring: Using validated scales like the ICRS Score or Modified O'Driscoll Score

Assessment MethodControl ScoreFGF-18 ScoreStatistical Significance
ICRS Score4.209.83P = 0.002
Modified O'Driscoll Score9.0016.83P = 0.039
Tissue Infill (%)26.8872.50P < 0.05

Data from cartilage repair studies shows significant improvement with FGF-18 treatment compared to controls .

How can FGF-18 be effectively incorporated into cartilage repair protocols, and what delivery systems have shown optimal results?

FGF-18 has shown significant promise in cartilage repair, with several delivery systems demonstrating efficacy in experimental models. When incorporating FGF-18 into cartilage repair protocols, consider:

Delivery Systems:

  • Direct intra-articular injections: Most common method, using dosages between 10-100 μg of rhFGF-18

  • Controlled-release systems: Including:

    • Fibrin-based scaffolds with embedded FGF-18

    • Polymer-based microparticles for sustained release

    • Hydrogels with tunable degradation profiles

  • Cell-mediated delivery: Genetically modified chondrocytes or mesenchymal stem cells overexpressing FGF-18

Optimal Parameters for Cartilage Repair:

  • Dosing regimen: Multiple studies have shown efficacy with 10, 30, or 100 μg doses

  • Treatment timing: Initiating treatment immediately following surgical intervention

  • Treatment duration: Protocols typically involve weekly injections for 3-5 weeks

  • Defect characteristics: FGF-18 has shown efficacy for defects up to 15 mm in diameter

Research has demonstrated that FGF-18 augmentation significantly improves cartilage repair outcomes following surgical interventions such as microfracture. The International Cartilage Repair Society (ICRS) scores and Modified O'Driscoll scores were significantly higher in FGF-18 treated groups compared to controls (ICRS: 9.83 vs. 4.20, P=0.002; O'Driscoll: 16.83 vs. 9.00, P=0.039) . Additionally, tissue infill was dramatically improved with FGF-18 treatment (72.50% vs. 26.88%, P<0.05) .

What are the molecular mechanisms through which FGF-18 promotes chondrogenesis and what factors can enhance or inhibit this activity?

FGF-18 promotes chondrogenesis through several key molecular mechanisms that can be experimentally investigated:

Key Molecular Mechanisms:

  • FGFR3 Signaling: FGF-18 preferentially signals through FGFR3, which is highly expressed in chondrocytes . This receptor activates pathways that promote chondrocyte proliferation and matrix synthesis.

  • Extracellular Matrix Regulation: FGF-18 upregulates expression of collagen type II and aggrecan, crucial components of cartilage matrix .

  • Chondrocyte Differentiation: FGF-18 modulates the differentiation of mesenchymal progenitors into chondrocytes and influences their maturation.

  • Anabolic/Catabolic Balance: FGF-18 shifts the balance toward anabolic activity, promoting matrix synthesis while reducing degradative enzyme activity.

Enhancing Factors:

  • Heparan sulfate proteoglycans: Act as co-receptors that increase FGF-18 binding affinity to FGFRs

  • TGF-β superfamily members: Synergistic effects when combined with FGF-18

  • Hypoxic conditions: May enhance FGF-18-mediated chondrogenesis

  • Mechanical stimulation: Appropriate mechanical loading appears to enhance FGF-18 effects

Inhibitory Factors:

  • Inflammatory cytokines: IL-1β and TNF-α can antagonize FGF-18 signaling

  • FGFR inhibitors: Chemical inhibitors of FGFR signaling block FGF-18 effects

  • Hypertrophic differentiation factors: Factors promoting terminal differentiation can counteract FGF-18's chondrogenic effects

  • Advanced age: Cellular responsiveness to FGF-18 may decrease with aging

Immunohistochemistry studies have demonstrated that repair tissue treated with rhFGF-18 stains strongly for collagen type II, indicating the production of mature hyaline-like cartilage . While quantitative gene expression analysis in one study didn't reach statistical significance, collagen type II expression was increased in 5 out of 6 animals treated with 100 μg of rhFGF-18 compared to controls (4,885 vs. 3,031 %HKGs) .

How does FGF-18 activity differ between normal and osteoarthritic cartilage, and what implications does this have for therapeutic interventions?

The differential activity of FGF-18 in normal versus osteoarthritic (OA) cartilage presents important research considerations:

Altered Receptor Expression in OA:

  • FGFR expression patterns change during OA progression, with altered FGFR3/FGFR1 ratios

  • These changes affect tissue responsiveness to FGF-18 and can be measured using receptor quantification methods:

    • qRT-PCR for mRNA expression

    • Flow cytometry or immunohistochemistry for protein expression

    • Receptor binding assays with labeled FGF-18

Mechanistic Differences:

  • In normal cartilage, FGF-18 primarily promotes chondrocyte proliferation and matrix synthesis through FGFR3

  • In OA cartilage, altered signaling may result in:

    • Reduced anabolic responses

    • Altered cell survival pathways

    • Changes in inflammatory mediator production

Therapeutic Implications:

  • Recombinant FGF-18 (sprifermin) has shown promise in clinical trials for OA treatment

  • Recent findings demonstrate that FGF-18 can reduce progression to joint replacement surgery and delay OA-related pain (measured by WOMAC scores)

  • Timing of intervention appears critical, with early treatment showing better outcomes

Research Methodology Considerations:

  • Comparative studies should use matched samples of normal and OA cartilage

  • Age-matched controls are essential as FGF responsiveness changes with age

  • Explant cultures provide valuable ex vivo models to test differential responses

  • Patient-derived chondrocytes can be used to assess personalized response patterns

The evidence suggests FGF-18 represents a disease-modifying approach rather than just symptomatic treatment, with potential to alter the structural progression of OA when administered appropriately.

What is the role of FGF-18 in liver and intestinal proliferation, and how might this affect the safety profile of systemic FGF-18 administration?

FGF-18's potent effects on liver and intestinal proliferation raise important considerations for research and therapeutic applications:

Mechanism of Action in Liver and Intestine:

  • FGF-18 is a pleiotropic growth factor that strongly stimulates hepatocyte and intestinal epithelial cell proliferation

  • Injection of recombinant murine FGF-18 (rMuFGF-18) induces significant proliferation in liver and small intestine within 3-7 days

  • Transgenic mice overexpressing FGF-18 in the liver show increased liver weight and hepatocellular proliferation

Experimental Approaches to Assess Proliferative Effects:

  • Organ weight measurements: Both liver and small intestine show significant weight gains following FGF-18 treatment

  • Histological analysis: Using proliferation markers like Ki67, PCNA, or BrdU incorporation

  • Cell cycle analysis: Flow cytometry to assess cell cycle phases in isolated hepatocytes

  • Transcriptomic profiling: To identify FGF-18-responsive genes in liver and intestine

Safety Implications for Systemic Administration:

  • The potent mitogenic effects in liver and intestine raise potential concerns for:

    • Hyperplastic responses with prolonged exposure

    • Possible neoplastic transformation risk with chronic stimulation

    • Effects on regenerative responses after injury

Research Strategies to Address Safety:

  • Localized delivery systems: To restrict FGF-18 activity to target tissues (like joints for OA treatment)

  • Modified FGF-18 variants: Engineered to have tissue-selective activity

  • Intermittent dosing protocols: To avoid continuous proliferative stimulation

  • Biomarker monitoring: In preclinical and clinical studies to detect early proliferative responses

When designing studies involving systemic FGF-18 administration, careful monitoring of liver and intestinal parameters is essential, including serum liver enzymes, liver imaging, and potentially intestinal permeability assessments if long-term administration is planned.

How should researchers interpret contradictory findings in FGF-18 research, particularly regarding tissue-specific responses?

Contradictory findings in FGF-18 research are not uncommon, particularly regarding tissue-specific responses. A methodological approach to interpreting these contradictions includes:

Sources of Experimental Variability:

  • Species differences: Human vs. animal models show varying receptor affinities and downstream responses

  • Experimental conditions: In vitro vs. in vivo studies may yield different results due to microenvironmental factors

  • FGF-18 preparations: Variations in protein preparation, including:

    • Presence/absence of His-tag affecting bioactivity

    • Protein folding differences between preparations

    • Storage and handling affecting stability

  • Receptor expression profiles: Varying expression levels of FGFRs and co-receptors between tissue types and disease states

Methodological Approach to Resolving Contradictions:

  • Systematic literature review: Categorize studies by methodology, species, and experimental conditions

  • Meta-analysis when possible: Quantitatively analyze results across studies with similar methodologies

  • Direct experimental comparison: Reproduce contradictory findings under identical conditions

  • Mechanistic investigation: Determine if contradictions arise from different signaling pathways or receptor involvement

Case Example - Contradictory Cartilage Findings:
In cartilage repair studies, some results show variable statistical significance in ICRS scores. While most studies demonstrated significant improvement with FGF-18 treatment, one study found no significant difference in ICRS scores (Control: 4.00 vs. FGF-18: 5.00, P > 0.05), despite showing significance in the Modified O'Driscoll Score . This could be attributed to:

  • Differences in cartilage defect models

  • Timing of assessment

  • Species-specific responses

  • Scoring methodology variations

When reporting your own research, explicitly acknowledge contradictory findings, provide potential mechanistic explanations, and design experiments to directly address these contradictions.

What statistical approaches are most appropriate for analyzing dose-response relationships and temporal dynamics in FGF-18 research?

Analyzing dose-response relationships and temporal dynamics in FGF-18 research requires sophisticated statistical approaches to capture complex biological responses:

Dose-Response Analysis Methods:

  • Nonlinear regression models: Most appropriate for FGF-18 dose-response data, as they can fit:

    • Sigmoidal curves (e.g., 4-parameter logistic model)

    • Bell-shaped responses (common with growth factors that show inhibition at high doses)

    • Threshold models (when responses occur only above certain concentrations)

  • ANOVA with post-hoc tests: For comparing discrete dose groups

    • Tukey's or Dunnett's tests for multiple comparisons

    • Trend analysis to detect dose-dependent patterns

  • Model selection approaches:

    • Akaike Information Criterion (AIC) to determine best-fitting dose-response model

    • Bayesian methods for complex response patterns

Temporal Dynamics Analysis:

  • Repeated measures ANOVA: For analyzing time-course data with parametric assumptions

  • Mixed-effects models: Superior for handling missing data points and accounting for both fixed and random effects

  • Time-series analysis: For capturing cyclical or complex temporal patterns

  • Area Under the Curve (AUC) analysis: To quantify cumulative responses over time

Practical Example from FGF-18 Research:
In a study examining cartilage repair, researchers used rhFGF-18 at different doses (10, 30, or 100 μg) and assessed outcomes after 5.5 months . The appropriate analysis included:

  • ANOVA comparing control to each dose group

  • Assessment of dose-dependency using trend analysis

  • Multiple time-point assessments analyzed with repeated measures approaches

Recommendations for Robust Analysis:

  • Sample size determination: Conduct power analysis specifically for dose-response studies

  • Multiple endpoints: Analyze correlations between different outcome measures

  • Transformations: Consider log-transformation of dose values for nonlinear responses

  • Visualization: Use response surface methodology to visualize interactions between dose, time, and response

  • Biological replicates: Ensure sufficient biological (not just technical) replication

When reporting results, include both graphical representations of dose-response curves and detailed statistical outputs, including confidence intervals rather than just p-values, to provide a complete picture of the data.

What are the current translational applications of FGF-18 in regenerative medicine beyond cartilage repair?

While FGF-18 has been predominantly studied for cartilage regeneration, its pleiotropic nature offers potential in several other regenerative medicine applications:

Intervertebral Disc Degeneration:

  • FGF-18 has shown promise in inhibiting intervertebral disc degeneration in rabbit models

  • Experimental approaches include:

    • Direct injection into degenerating discs

    • Sustained-release formulations for the avascular disc environment

    • Combination with scaffold materials for structural support

Liver Regeneration:

  • Given FGF-18's potent proliferative effects on hepatocytes , applications include:

    • Supporting liver regeneration after partial hepatectomy

    • Treatment of acute liver failure

    • Enhancing hepatocyte proliferation in cell-based therapies

Intestinal Epithelial Regeneration:

  • FGF-18 stimulates intestinal epithelial proliferation , suggesting applications in:

    • Inflammatory bowel disease tissue repair

    • Intestinal mucositis following chemotherapy

    • Short bowel syndrome rehabilitation

Neural Tissue Applications:

  • FGF-18 induces neurite outgrowth in PC12 cells in vitro , suggesting potential in:

    • Peripheral nerve injury repair

    • Neurodegenerative disease approaches

    • Neural tissue engineering

Methodological Considerations for Translational Research:

  • Delivery system optimization: Each tissue environment requires specific delivery strategies

  • Dosing regimens: Tissue-specific optimal dosing must be established

  • Combination approaches: Synergistic effects with other growth factors should be investigated

  • Safety monitoring: Tissue-specific safety concerns must be addressed, particularly regarding proliferative effects

When designing translational studies, careful consideration of tissue-specific biomarkers for efficacy and safety is essential, along with appropriate animal models that recapitulate human disease conditions.

How can research findings on FGF-18 signaling be integrated with advances in biomaterials science to develop next-generation therapeutic approaches?

The integration of FGF-18 biology with biomaterials science represents a frontier in regenerative medicine research:

Advanced Delivery Systems:

  • Stimuli-responsive biomaterials:

    • pH-sensitive hydrogels that release FGF-18 in response to inflammatory environments

    • Thermo-responsive polymers for minimally invasive delivery

    • Enzymatically-degradable carriers that respond to tissue-specific proteases

  • Spatiotemporal control systems:

    • Gradient-generating scaffolds to mimic developmental patterning

    • Sequential release systems for FGF-18 and complementary factors

    • Light-activated biomaterials for on-demand growth factor release

Methodological Approaches for Biomaterial-FGF-18 Integration:

  • Bioactivity preservation strategies:

    • Heparin-functionalized biomaterials to stabilize FGF-18

    • Microencapsulation techniques to protect against degradation

    • Protein engineering for enhanced stability

  • Surface modification techniques:

    • Covalent immobilization of FGF-18 to maintain local concentration

    • Affinity-based binding systems for controlled release

    • Cell-responsive presentation of growth factors

Experimental Design Considerations:

  • In vitro testing pipeline:

    • Initial screening in relevant cell lines

    • 3D culture systems to mimic tissue architecture

    • Ex vivo tissue explant models

  • In vivo evaluation strategies:

    • Small animal models for initial efficacy

    • Large animal models that better approximate human scale and physiology

    • Non-invasive imaging to track biomaterial degradation and tissue response

Future Research Directions:

  • Cell-instructive materials: Combining FGF-18 with materials that direct cell fate

  • Multi-modal systems: Integrating FGF-18 delivery with mechanical or electrical stimulation

  • Personalized approaches: Patient-specific FGF-18 dosing based on receptor expression profiling

Product Science Overview

Introduction

Fibroblast Growth Factor-18 (FGF18) is a member of the fibroblast growth factor (FGF) family, which is known for its broad mitogenic and cell survival activities. These factors are involved in a variety of biological processes, including embryonic development, cell growth, morphogenesis, tissue repair, tumor growth, and invasion .

Discovery and Gene Information

FGF18 was first identified in 1998 when two newly-identified murine genes, Fgf17 and Fgf18, were described and confirmed as being closely related by sequence homology to Fgf8 . The FGF18 gene is located on chromosome 5 in humans and chromosome 11 in mice . The protein encoded by this gene is involved in several critical biological processes.

Structure and Function

FGF18 consists of 207 amino acids and contains two potential N-linked glycosylation domains . It is structurally most homologous to FGF8 and FGF17 among the FGF family . The core 120 amino acid FGF domain allows for a common tertiary structure, which is crucial for its function .

FGF18 is a binding growth factor that signals via FGFR 1c, 2c, 3c, and 4 . It plays an indispensable role in the development of long bones and the calvaria (the upper part of the skull) . Additionally, FGF18 is expressed predominantly in the adult lungs and kidneys, as well as in several discrete regions during embryonic development .

Recombinant Human FGF18 (His Tag)

Recombinant human FGF18 (rhFGF18) is produced using various expression systems, including mammalian cells and Escherichia coli . The His tag is a polyhistidine tag that is added to the protein to facilitate purification. This tag allows for the protein to be purified using metal affinity chromatography, which is a common technique in protein purification.

Applications

The recombinant form of FGF18 has been extensively used for fundamental research and clinical applications. Some of the key applications include:

  • Chondrogenesis and Osteogenesis: FGF18 is crucial for the development and repair of cartilage and bone .
  • Hair Growth: Studies have shown that rhFGF18 can effectively regulate hair growth .
  • Neuroprotection: FGF18 has potential neuroprotective effects, making it a candidate for research in neurodegenerative diseases .

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