GH Human, Plant refers to recombinant human growth hormone (r-hGH) expressed in plant systems, particularly Nicotiana benthamiana and transgenic crops like soybean. This protein, a 205-amino-acid polypeptide with a 6-His tag, mimics the human pituitary-derived hormone (somatotropin) and functions in growth regulation, metabolism, and cell proliferation .
Property | Description |
---|---|
Molecular Formula | C₁₀₂₅H₁₅₇₀N₂₈₀O₃₀₆S₇ |
Molecular Mass | 22.9 kDa |
Expression System | Nicotiana benthamiana (transient) or soybean (stable transgenic) |
Tag | N-terminal 6-His for purification |
Two primary platforms are used:
Transient Expression in Nicotiana benthamiana:
Stable Transgenic Crops (e.g., Soybean):
Method: Affinity chromatography via the 6-His tag, followed by sterile filtration.
The sequence aligns with human pituitary-derived hGH:
HHHHHHFPTIPLSRPFDNAMLRAHRLHQLAFDTYQEFEEAYIPKEQKYSFLQNPQTSLCFSESIPTPSNREEETQQKSNLELLRISLLLQSWLEPVQFLRSVFANSLVYGASDSNVYDLLKDLEEGIQTLMGRLEDGSPRTGQIFKQTYSKFDTNSHNDDALLKNYGLLYCFRKDMDKVE TFLRIVQCRSVEGSCGFAG
.
Functional Assay: Measured via Nb2-11 cell proliferation, with an ED₅₀ <0.04–0.1 ng/mL .
In Vivo Efficacy:
Parameter | Nicotiana benthamiana | Soybean |
---|---|---|
Yield | Transient, rapid | Stable, scalable |
Purity | >97% | >90% |
Application | Research/laboratory | Commercial-scale production |
Factor | Plant Systems | Microbial/Animal Systems |
---|---|---|
Cost | Lower (no fermentation costs) | Higher |
Scalability | High (agricultural expansion) | Limited |
Safety | No risk of prion contamination | Potential risks |
Post-Translation Modification | Limited (no mammalian glycosylation) | Native (animal systems) |
Human growth hormone (GH) is a naturally occurring hormone secreted by the pituitary gland that plays crucial roles in numerous physiological processes. GH levels naturally decline with age, which contributes to various age-related changes in body composition and function. Physiologically, GH is essential for normal growth during childhood and continues to play important metabolic roles throughout adulthood .
The primary physiological functions of GH include regulation of body composition through decreasing visceral adipose tissue and increasing lean body mass. Additionally, GH contributes to maintaining bone mass, exercise capacity, and skin thickness. When GH is deficient, individuals may experience increased visceral fat, decreased muscle mass, reduced bone density, diminished exercise capacity, and skin thinning . These effects are particularly notable in growth hormone deficiency (GHD) conditions, where replacement therapy is medically indicated.
Research methodologies for studying GH function typically involve measuring GH levels in relation to specific physiological parameters, with hypophysectomized animal models often employed to eliminate endogenous GH production when testing exogenous GH efficacy .
This safety crisis prompted a shift to recombinant DNA technology, with biosynthetic GH becoming available for prescription use in the United States since 1985 . Traditional recombinant production has primarily relied on bacterial or mammalian cell culture systems, each with distinct advantages and limitations regarding cost, scalability, and post-translational modifications.
More recently, plant-based expression systems have emerged as promising alternative platforms for GH production. Plant virus-based expression vectors have been used to produce human growth hormone in Nicotiana benthamiana plants, demonstrating that plant-produced human growth hormone (pphGH) retains biological activity comparable to conventional recombinant GH .
Researchers evaluating different production platforms should consider factors including yield, biological activity, purification requirements, and cost-effectiveness when selecting appropriate systems for their specific research or production goals.
Nicotiana benthamiana has emerged as a leading plant species for recombinant human growth hormone production. This tobacco relative offers several advantages for recombinant protein expression, including rapid growth, high biomass production, and well-established transformation protocols. In published research, plant virus-based expression vectors have been successfully employed to produce biologically active human growth hormone in N. benthamiana plants .
The methodology typically involves:
Construction of viral vectors carrying the human growth hormone gene
Agrobacterium-mediated delivery of these constructs into plant tissues
Viral replication and spread throughout the plant, driving high-level protein expression
Harvesting and processing of plant material
Purification of the recombinant human growth hormone from plant tissue
This approach has demonstrated significant promise, with plant-produced hGH (pphGH) showing biological activity in a hypophysectomized rat model. Specifically, subcutaneous injection of pphGH at 60 microg/dose for 10 days resulted in an average weight gain of approximately 17g per animal across a group of 10 test subjects .
For researchers considering plant-based expression systems, it's important to optimize parameters including plant growth conditions, infiltration techniques, harvest timing, and downstream processing methods to maximize yield and maintain protein quality.
The biological activity of plant-produced human growth hormone (pphGH) has been conclusively demonstrated through well-designed animal models that evaluate physiological responses to the recombinant protein. A particularly robust experimental approach involves the use of hypophysectomized rat models, where the pituitary gland (which naturally produces growth hormone) has been removed, creating a controlled system to assess exogenous GH activity .
In published research, pphGH produced in Nicotiana benthamiana plants using a plant virus-based expression vector was evaluated through the following methodological steps:
Production and purification of pphGH from plant tissue
Standardization of dosing (60 μg per dose)
Subcutaneous administration to hypophysectomized rats over a 10-day period
Comprehensive weight monitoring throughout the experimental period
Statistical analysis of weight gain as the primary efficacy endpoint
This experimental design demonstrated an average weight gain of approximately 17g per animal across a group of 10 animals, providing quantitative evidence for biological activity comparable to conventionally produced recombinant hGH .
For researchers conducting similar studies, it's essential to include appropriate controls, standardize protein preparations, ensure consistent dosing protocols, and employ validated biomarkers beyond weight gain, such as IGF-1 levels, to comprehensively characterize biological activity.
Plant Gene Set Annotation Database (PlantGSAD) and similar resources provide powerful tools for researchers working on recombinant human growth hormone production in plant systems. These comprehensive databases contain extensive gene annotation information across multiple plant species that can significantly enhance experimental design and data interpretation .
To effectively utilize these resources for GH research, researchers should:
Access relevant plant gene annotations across different functional categories, including Gene Ontology (GO), pathway annotations, gene family classifications, and chromatin state data
Identify gene sets associated with protein processing, secretion pathways, and post-translational modification systems that may impact recombinant GH production
Utilize transcription factor target (TFT) gene sets to identify potential regulatory elements that could enhance expression of the GH transgene
Analyze co-expression modules (CoM) to identify genes that typically function together, potentially revealing synergistic factors that could improve recombinant protein yields
PlantGSAD supports 44 plant species with 236,007 defined gene sets across nine functional categories, providing exceptional depth for research applications . Particularly valuable for GH research are the pathway (G3) and gene family-based (G4) categories, which contain information on protein processing and modification pathways critical for producing functional recombinant proteins.
For species-specific optimization, researchers can leverage the extensive Arabidopsis gene sets derived from DAP-seq and the 115 maize TFT data sets from ChIP-seq to investigate transcriptional regulatory networks that could enhance recombinant protein expression .
Multiple interrelated factors significantly influence both the expression levels and biological activity of plant-produced human growth hormone. Optimizing these factors requires systematic experimental approaches and careful consideration of plant physiology and protein biochemistry.
Expression System Selection: The choice between stable transformation and transient expression significantly impacts yield and consistency. Virus-based expression vectors in Nicotiana benthamiana have demonstrated high-level expression of biologically active hGH . Researchers must evaluate the trade-offs between expression level, time to harvest, and scalability when selecting their approach.
Subcellular Targeting: Directing the recombinant protein to specific cellular compartments (apoplast, endoplasmic reticulum, chloroplasts) through appropriate signal peptides can dramatically affect both yield and protein quality. Each compartment offers distinct advantages regarding post-translational modifications, proteolytic activity, and extraction efficiency.
Post-Translational Modifications: Human growth hormone requires proper folding and disulfide bond formation but minimal glycosylation for activity. Plant-specific modifications may affect immunogenicity but generally preserve biological function as demonstrated in animal models .
Harvest Timing and Conditions: The developmental stage of the plant and environmental conditions during growth significantly impact recombinant protein accumulation. Systematic evaluation of these parameters through time-course experiments and controlled growth conditions is essential for optimization.
Extraction and Purification Methodology: The biological activity of pphGH depends critically on maintaining protein integrity during extraction and purification. Researchers must optimize buffer systems, implement protease inhibitors, and develop gentle purification protocols that maximize recovery while preserving structure and function.
Purifying functional human growth hormone from plant tissues requires specialized methodologies that balance recovery efficiency with maintenance of biological activity. Based on current research approaches, the following strategy has demonstrated effectiveness:
Initial Extraction Optimization:
Tissue homogenization in buffered solutions (typically pH 7.2-7.8) containing mild detergents
Addition of protease inhibitor cocktails to prevent degradation
Inclusion of reducing agents to maintain disulfide bond integrity
Rapid processing at controlled temperatures (typically 4°C) to minimize proteolytic damage
Clarification and Primary Separation:
Centrifugation at 10,000-15,000g to remove plant debris
Filtration through appropriate molecular weight cut-off membranes
Ammonium sulfate precipitation to concentrate the target protein while removing contaminants
Chromatographic Purification Sequence:
Ion exchange chromatography as an initial capture step
Hydrophobic interaction chromatography for intermediate purification
Size exclusion chromatography as a final polishing step
Quality Assessment:
SDS-PAGE and Western blotting for identity confirmation
ELISA for quantitative determination
Circular dichroism spectroscopy for structural analysis
Biological activity testing in cell-based assays prior to animal studies
This methodology has been shown to yield plant-produced human growth hormone with sufficient purity and biological activity to induce weight gain in hypophysectomized rat models . The average weight gain of approximately 17g per animal following administration of purified pphGH at 60 μg/dose demonstrates that the purification process successfully preserves biological functionality .
For researchers implementing these methods, it's essential to optimize each step for the specific plant expression system being used, as different host species and subcellular targeting approaches may require adjustments to extraction and purification parameters.
Genetic engineering strategies offer powerful approaches to optimize both expression levels and functionality of human growth hormone in plant production systems. Current research supports several effective methodological approaches:
Codon Optimization: Adjusting the hGH coding sequence to match the codon usage preferences of the host plant species significantly enhances translation efficiency. This methodology involves:
Analyzing the codon usage bias of the target plant
Redesigning the hGH sequence while maintaining the amino acid sequence
Synthesizing the optimized gene for subsequent cloning
Promoter Selection and Enhancement: The choice of promoters dramatically impacts expression levels:
Constitutive promoters (e.g., CaMV 35S) for consistent expression
Inducible promoters for controlled expression timing
Tissue-specific promoters for targeted accumulation
Synthetic promoters with enhanced activity for maximizing yield
Subcellular Targeting Optimization:
ER-retention signals (KDEL, HDEL) for accumulation in the endoplasmic reticulum
Signal peptides directing to protein storage vacuoles
Chloroplast targeting for organelle-based expression
Suppression of Plant Proteases: Implementing RNA interference or CRISPR-based approaches to downregulate specific plant proteases that may degrade recombinant hGH
Co-Expression of Chaperones and Foldases: Engineering plants to simultaneously express molecular chaperones that facilitate proper folding of hGH
These approaches can be evaluated using transient expression systems before moving to stable transformation, allowing rapid assessment of different strategies. The biological activity of the resulting plant-produced hGH should be validated using established animal models, such as the hypophysectomized rat model that has previously demonstrated weight gain responses to plant-produced hGH .
For researchers implementing these strategies, it's important to consider potential synergistic effects when combining multiple approaches, as well as the regulatory and biosafety implications of the specific genetic modifications employed.
Establishing bioequivalence between plant-produced human growth hormone (pphGH) and traditional recombinant versions requires rigorous experimental designs that address multiple dimensions of product similarity. Effective methodological approaches include:
Physicochemical Characterization:
Primary structure analysis using mass spectrometry to confirm amino acid sequence
Secondary and tertiary structure comparison using circular dichroism and fluorescence spectroscopy
Aggregation profile assessment using size exclusion chromatography
Charge variant analysis through isoelectric focusing
Comparative stability studies under various storage conditions
In Vitro Bioactivity Assessment:
Cell proliferation assays using GH-responsive cell lines
Receptor binding assays measuring affinity to GH receptors
Signal transduction analysis examining JAK-STAT pathway activation
Dose-response curves comparing relative potencies
Pharmacokinetic Studies:
Comparative absorption, distribution, and elimination studies in relevant animal models
Analysis of half-life and clearance rates
Determination of area under the curve (AUC) parameters
In Vivo Efficacy Models:
Weight gain studies in hypophysectomized rats at multiple dose levels
IGF-1 induction measurements as a biomarker of GH activity
Growth plate width assessments in juvenile models
Body composition analysis using DEXA or other imaging techniques
Statistical Design Considerations:
Power analysis to determine appropriate sample sizes
Crossover designs where appropriate to minimize inter-subject variability
Equivalence margin definition based on clinically relevant differences
Statistical approaches specific to bioequivalence (e.g., 90% confidence intervals)
Integrating transcriptomics and proteomics data provides powerful insights for optimizing recombinant human growth hormone production in plant systems. A systematic methodological approach leveraging these omics technologies includes:
Transcriptomic Profiling:
RNA-Seq analysis of plant tissues at different time points after transgene introduction
Identification of differentially expressed genes correlating with high GH expression
Mapping of transcriptional networks that may regulate transgene expression
Characterization of stress responses that may impact productivity
Proteomic Analysis:
Quantitative proteomics to identify endogenous proteins co-regulated with recombinant GH
Characterization of post-translational modifications on the plant-produced GH
Investigation of protein-protein interactions affecting folding and stability
Analysis of proteolytic activities that may degrade the target protein
Data Integration Strategies:
Correlation analysis between transcript and protein abundance
Pathway enrichment analysis to identify key biological processes
Network analysis to identify regulatory hubs
Machine learning approaches to predict optimal expression conditions
Application of Plant Gene Set Annotation Database Resources:
Leveraging PlantGSAD's 236,007 gene sets across nine functional categories
Utilizing transcription factor target (TFT) datasets to identify potential regulatory elements
Employing co-expression modules (CoM) to identify genes that function together
Using chromatin state-based gene sets to understand epigenetic regulation
Validation and Implementation:
Testing of genetic modifications suggested by integrated analysis
Optimization of environmental conditions based on stress response insights
Modification of promoters or regulatory elements identified through transcription factor binding site analysis
This integrated approach allows researchers to comprehensively understand the molecular landscape affecting recombinant protein production, enabling rational design of improved expression systems rather than empirical optimization. For example, PlantGSAD resources could identify transcription factors that potentially regulate pathways involved in protein folding and secretion, suggesting specific genetic modifications to enhance GH production .
Several cutting-edge technologies are poised to transform plant-based production of human growth hormone, offering researchers new methodological approaches with significant advantages over current systems:
CRISPR/Cas9 Genome Editing:
Precise modification of plant genomes to create optimized chassis organisms
Knockout of proteases or proteins competing for cellular resources
Engineering of specialized compartments for recombinant protein accumulation
Multiplexed editing to simultaneously modify multiple targets affecting protein production
Synthetic Biology and Genetic Circuit Design:
Construction of synthetic genetic circuits for fine-tuned expression control
Implementation of feedback loops responding to cellular stress or product accumulation
Design of orthogonal transcription/translation systems dedicated to recombinant protein production
Development of genetic switches for temporal control of expression
Advanced Plant Transformation Technologies:
Nanomaterial-mediated delivery of DNA for enhanced transformation efficiency
Cell-penetrating peptides for improved nuclear targeting of transgenes
Site-specific integration systems for predictable expression levels
Chloroplast transformation for polycistronic expression of complete pathways
Single-Cell Omics for Production Optimization:
Advanced Bioprocessing and Purification:
Continuous bioprocessing systems for plant tissue culture
Affinity-based in vivo capture systems expressing antibody fragments
Self-cleaving protein tags for simplified purification
Membrane-based separation technologies specifically designed for plant matrices
Researchers can leverage these technologies by adopting integrated experimental designs that combine multiple approaches. For example, CRISPR-edited plant lines with optimized metabolism could be transformed with synthetic circuits controlling GH expression, then analyzed through single-cell omics to identify high-producing cell types for targeted enhancement.
The Plant Gene Set Annotation Database (PlantGSAD) provides valuable resources to support these emerging approaches, particularly through its comprehensive gene set annotations that can inform genome editing targets and synthetic biology designs .
Based on current evidence, several research directions show exceptional promise for advancing plant-based human growth hormone production systems. Researchers should consider prioritizing the following methodological approaches:
Optimization of Expression Systems:
Development of specialized plant lines with enhanced secretory capacity
Creation of dedicated expression vectors combining optimal regulatory elements
Exploration of alternative plant species beyond Nicotiana benthamiana
Engineering of specialized subcellular compartments for protein accumulation
Multi-omics Integration for System-level Understanding:
Scalable Bioprocessing Development:
Design of continuous production systems using plant cell cultures
Optimization of extraction and purification for industrial-scale implementation
Development of in-line monitoring technologies for process control
Creation of seed banks and master cell banks for consistent starting material
Advanced Biological Activity Characterization:
Development of high-throughput bioassays for functional assessment
Comprehensive comparative studies with standard recombinant GH
Investigation of pharmacokinetics and pharmacodynamics in relevant models
Expansion beyond the established hypophysectomized rat model that has demonstrated biological activity of pphGH
Regulatory Science and Standardization:
Development of plant-specific quality control standards
Creation of reference materials for analytical method validation
Establishment of bioequivalence demonstration protocols
Engagement with regulatory agencies to define approval pathways
This research agenda builds upon the demonstrated biological activity of plant-produced human growth hormone in animal models while addressing current limitations in scale, consistency, and regulatory acceptance. By leveraging comprehensive gene annotation resources like PlantGSAD , researchers can adopt data-driven approaches to system optimization rather than empirical testing alone.
Growth hormone (GH), also known as somatotropin, is a peptide hormone that plays a crucial role in stimulating growth, cell reproduction, and cell regeneration in humans and other animals . Human growth hormone (hGH) is particularly important for human development and has various biological functions, including protein synthesis, cell proliferation, and metabolism .
Recombinant DNA technology has revolutionized the production of growth hormones. Initially, growth hormone was extracted from human pituitary glands, but this method had limitations, including the risk of contamination and limited supply . The advent of recombinant DNA technology allowed for the production of hGH in various host systems, including bacteria, yeast, and mammalian cells .
In recent years, plant-based expression systems have emerged as a promising alternative for producing recombinant proteins, including hGH. Plant systems offer several advantages over traditional animal and yeast systems:
Molecular pharming refers to the use of genetically modified plants to produce pharmaceutical proteins. This approach has gained attention due to its potential to produce therapeutic proteins, antibodies, and enzymes at a lower cost and with fewer safety concerns . Plant-based expression systems can utilize various plant tissues, such as seeds, leaves, and roots, to produce recombinant proteins. These systems can employ stable transformation of the nuclear genome or transient expression methods to achieve high yields of the desired protein .
The production of recombinant hGH in plants involves several steps:
Advantages:
Challenges: