Recombinant Arabidopsis thaliana Golgin candidate 2 (GC2)

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Product Specs

Form
Supplied as a lyophilized powder.
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Before opening, briefly centrifuge the vial to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting to -20°C/-80°C. Our standard glycerol concentration is 50% and serves as a guideline.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer components, temperature, and the protein's inherent stability.
Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing.
The specific tag is determined during production. If you require a particular tag, please inform us, and we will prioritize its use.
Synonyms
GC2; At1g18190; T10F20.19; T10O22.16; Golgin candidate 2; AtGC2
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-668
Protein Length
full length protein
Species
Arabidopsis thaliana (Mouse-ear cress)
Target Names
GC2
Target Protein Sequence
MANWISSKLKAAETILQQLDQQAADSLRKDEKSETHDEVFETSPKSGSSPVSLKDQLRKK TYEGSDSGSGSQRNSTEQKPSYLSSSKKVRKPDQSHERTSAPSQSLTQDNTKLTDNDWTE LLSTPNQRTSTSTSRSPGGTSAIRGLKKDGKRHGNLGKNPLVSDGKKSSSSNVVNSRGRP QKQTNKEPSDKEVSSPSDADMKNRNAPRDIFVNSTHKESEKDVSGKTPPLDDSRRSANET LPRETSPSVGKRDGRESRRSSVWGKQVREEVSQSNVSDGLTRKESSLSSDESESDYESDS STDSERERQREERRRRRERVFAEKVATKAVAVIKERENMVARLEGEKLSLEKIVEERAKQ QAQEAAELQTNMMETLEAADLEKQKHNNTRMEVLTRLAGLEAENAELTRSLAAGQKKLET QIDQVAVLKQQVELKESTLEELKRNTFNIGGRGTTLKQLDTSRGDKFEHQMLEAEISLLT DKIGRLQDKATKLEADIEMMRKELEEPTEVEIELKRRLNQLTDHLIQKQSQVEALSSEKA TILFRIEAVSRLIEENKGMSATEASSQDLEAGDWELSGSKFKPAFQDKIRSGKKHLGWLV MQLNAIFISGTVFLRRNPTAKIWAVVYLVCLHLWVLYILLSHSDASSSGELRSGAVISLE NFSNSSLQ
Uniprot No.

Target Background

Function

Function: Recombinant Arabidopsis thaliana Golgin candidate 2 (GC2) is a Golgi matrix protein involved in vesicle tethering to Golgi membranes and in maintaining the overall Golgi apparatus structure.

Database Links

KEGG: ath:AT1G18190

STRING: 3702.AT1G18190.1

UniGene: At.42983

Subcellular Location
Golgi apparatus membrane; Multi-pass membrane protein. Note=Probably located to cisternal rims of cis or medial Golgi.

Q&A

How is GC2 structurally characterized?

GC2 contains a characteristic C-terminal transmembrane domain that shares homology with human golgin-84 . When the C-terminal domain of GC2 is fused to GFP, it localizes specifically to the Golgi apparatus, demonstrating that this region contains Golgi localization motifs . The protein likely adopts an extended coiled-coil structure, which is typical of golgin family proteins. This structural arrangement allows GC2 to participate in tethering events during vesicular transport. Unlike some other Arabidopsis golgin candidates that contain GRAB and GA1 domains (like GC3/GDAP1 and GC4), GC2's functionality appears to be mediated primarily through its transmembrane domain and coiled-coil regions.

What techniques are commonly used to study GC2 expression and localization?

Several methodological approaches have proven effective for studying GC2:

Subcellular localization:

  • GFP fusion proteins (N- or C-terminal tags) expressed in Arabidopsis or transient expression systems

  • Co-expression with established Golgi markers like Q-SNARE Memb11 (for cis-Golgi)

  • Immuno-gold labeling for electron microscopy to determine precise sub-Golgi localization

Expression analysis:

  • Quantitative RT-PCR to measure transcript levels across tissues and developmental stages

  • RNA-seq for transcriptome-wide analysis of expression patterns

  • Promoter-reporter fusions (e.g., GUS) to visualize tissue-specific expression patterns

Protein interaction studies:

  • Yeast two-hybrid assays to identify protein binding partners

  • Co-immunoprecipitation to validate in vivo interactions

  • Bimolecular Fluorescence Complementation (BiFC) for visualizing protein interactions in plant cells

How does the function of GC2 compare to other golgin candidates in Arabidopsis?

Golgin CandidateKey Structural FeaturesHomologyProposed Function
GC1C-terminal TM domainHuman golgin-84Golgi structure maintenance
GC2C-terminal TM domainHuman golgin-84Vesicle tethering, Golgi structure
GC3/GDAP1GRAB and GA1 domainsYeast Rud3p, Human GMAP210cis-Golgi tethering
GC4GRAB and GA1 domainsYeast Rud3p, Human GMAP210cis-Golgi tethering
GC5TMF homologyYeast Sgm1p, Human TMFInteracts with Rab6 homologues
GC6Uso1p/p115 homologyYeast Uso1p, Human p115ER-to-Golgi trafficking

Unlike GC3/GDAP1 and GC4 which contain GRAB and GA1 domains for membrane association, GC2 relies on its transmembrane domain for Golgi localization . The functional distinction between GC1 and GC2, despite their structural similarities, remains an active area of research, with evidence suggesting they may operate in different sub-compartments of the Golgi or interact with distinct sets of vesicular trafficking components.

What are the most effective expression systems for producing recombinant GC2?

When producing recombinant GC2 for functional studies, researchers should consider:

Bacterial expression systems:

  • E. coli BL21(DE3) strains can express truncated versions of GC2 lacking the transmembrane domain

  • Codon optimization may be necessary for efficient expression

  • Low temperature induction (16-20°C) often improves solubility of coiled-coil proteins

  • Consider fusion tags (MBP, GST) to enhance solubility

Eukaryotic expression systems:

  • Nicotiana benthamiana transient expression using Agrobacterium infiltration provides plant-specific post-translational modifications

  • Baculovirus-insect cell systems can produce full-length membrane proteins with proper folding

  • Yeast expression systems (such as Pichia pastoris) allow for efficient secretion and scale-up

Purification considerations:

  • For full-length GC2 with transmembrane domain, detergent solubilization is required (e.g., DDM, LDAO)

  • Two-step affinity purification followed by size exclusion chromatography helps achieve high purity

  • Flash-freezing in 10% glycerol maintains protein activity during storage

These approaches must be tailored to the specific research question, as different experimental goals may require different protein preparations.

How can T-DNA insertion mutants in GC2 be effectively genotyped and characterized?

T-DNA insertion mutants are valuable tools for functional studies of GC2. The following methodological approach is recommended:

Genotyping protocol:

  • Extract genomic DNA from leaf tissue using a CTAB or commercially available plant DNA extraction kit

  • Design three primers for PCR genotyping:

    • Forward primer in the genomic region upstream of the insertion

    • Reverse primer in the genomic region downstream of the insertion

    • T-DNA border primer specific to the insertion cassette used

  • Perform PCR reactions: one with gene-specific primers and another with T-DNA border primer plus appropriate gene-specific primer

  • Analyze by gel electrophoresis to confirm homozygous, heterozygous, or wild-type status

Phenotypic characterization:

  • Examine Golgi morphology using transmission electron microscopy

  • Assess protein trafficking efficiency using fluorescent secretory markers

  • Analyze glycosylation patterns of secreted proteins as indicators of Golgi function

  • Evaluate growth parameters, particularly in tissues with high secretory activity

Molecular characterization:

  • Confirm absence of full-length transcript using RT-PCR or RNA-seq

  • Assess changes in proteome composition using mass spectrometry

  • Examine effects on interacting proteins identified in protein-protein interaction studies

What approaches can be used to identify protein interaction partners of GC2?

Identifying GC2 interaction partners is crucial for understanding its functional role in Golgi dynamics. Multiple complementary approaches should be employed:

In vitro methods:

  • GST pull-down assays using recombinant GC2 domains and plant extracts

  • Surface plasmon resonance (SPR) to quantify binding affinities

  • Protein arrays to screen for interactions with multiple proteins simultaneously

In vivo methods:

  • Proximity-dependent biotin identification (BioID) using GC2-BioID fusion proteins

  • Co-immunoprecipitation followed by mass spectrometry (IP-MS)

  • Split-ubiquitin yeast two-hybrid for membrane protein interactions

  • Förster resonance energy transfer (FRET) for direct protein interactions in plant cells

Based on studies of related golgins, potential interacting partners to investigate include:

  • Small GTPases (particularly RAB family proteins)

  • SNARE proteins involved in vesicle fusion

  • Coiled-coil tethering factors of the CATCH complex

  • Structural proteins involved in Golgi stack formation

How can GFP-GC2 fusion constructs be optimized for subcellular localization studies?

When designing GFP-GC2 fusion constructs for localization studies, consider these methodological approaches:

Fusion strategies:

  • N-terminal GFP fusions (GFP-GC2) may interfere less with the critical C-terminal transmembrane domain

  • C-terminal fusions (GC2-GFP) might disrupt membrane insertion but can be useful for studying truncated versions

  • Internal GFP insertions at predicted linker regions may preserve both N and C-terminal functionalities

Expression control:

  • Use native promoter constructs for physiologically relevant expression levels

  • Inducible promoters (e.g., estradiol-inducible system) allow temporal control of expression

  • Consider tissue-specific promoters to study GC2 function in specific plant organs

Validation approaches:

  • Co-localization with established Golgi markers at different cisternae

  • Drug treatments (Brefeldin A, wortmannin) to verify response to secretory pathway perturbations

  • Super-resolution microscopy techniques (STED, PALM) to determine precise sub-Golgi localization

Research has shown that the C-terminal domain of GC2 is sufficient for Golgi localization , while N-terminal domains often label the cytosol or nucleus. Therefore, preserving the integrity of the C-terminal region is critical when designing fusion constructs.

What are the considerations for complementation experiments with GC2 in Arabidopsis mutants?

Complementation experiments are crucial for confirming gene function and specificity. For GC2 complementation studies:

Construct design:

  • Use genomic DNA including native promoter, introns, and 3' UTR for authentic expression patterns

  • Consider creating a series of constructs with varying domains to identify functional regions

  • Include epitope tags (HA, Myc) for protein detection that minimally impact function

Transformation approaches:

  • Agrobacterium-mediated transformation using floral dip method is standard for Arabidopsis

  • Selection of multiple independent transgenic lines (minimum 10) to account for position effects

  • Verify transgene expression levels using qRT-PCR and protein blotting

Phenotypic assessment:

  • Thoroughly document restoration of wild-type morphology and development

  • Quantitative measurements of cellular phenotypes (Golgi size, number, distribution)

  • Functional assays of protein trafficking and glycosylation efficiency

Control experiments:

  • Include wild-type and mutant lines grown under identical conditions

  • Test multiple independent transgenic lines to rule out positional effects

  • Consider domain swapping with related golgins (e.g., GC1) to test specificity of function

The approach used for complementation in heterotrimeric G-protein studies, where promoters were swapped between related genes, provides a useful methodological template that could be adapted for GC2 research .

How can contradictory localization data for GC2 be reconciled?

When faced with contradictory localization data for GC2, consider these analytical approaches:

Sources of variation:

  • Expression level differences: Overexpression can lead to mislocalization or aggregation

  • Cell type specificity: GC2 localization may vary between different plant tissues or cell types

  • Developmental stage: Temporal changes in localization may reflect changing cellular needs

  • Experimental conditions: Stress, pathogen exposure, or growth conditions may affect localization

Resolution strategies:

  • Compare native promoter vs. overexpression constructs to identify artifacts

  • Use multiple independent localization techniques (confocal microscopy, immuno-EM, biochemical fractionation)

  • Perform time-course experiments to capture dynamic localization changes

  • Examine localization in different tissues and developmental stages

  • Test the effect of different fixation protocols for immunolocalization studies

Data integration:

  • Create a comprehensive model that incorporates temporal and spatial variations

  • Consider that partial localizations to different compartments may reflect genuine biological functions

  • Use quantitative co-localization metrics (Pearson's coefficient, Manders' overlap) for objective comparison

What statistical approaches are most appropriate for analyzing GC2 phenotypic data?

For morphological data:

  • ANOVA followed by post-hoc tests (Tukey's HSD) for comparing multiple genotypes

  • Non-parametric alternatives (Kruskal-Wallis, Mann-Whitney) when normality assumptions are violated

  • Mixed models for data with multiple sources of variation (e.g., repeated measures, block designs)

For microscopy-based quantification:

  • Consider nested sampling designs that account for multiple cells within plants

  • Use appropriate sample sizes: minimum 30 cells from at least 10 plants per genotype

  • Implement blinded analysis workflows to prevent observer bias

For multi-parameter phenotyping:

  • Principal Component Analysis (PCA) to identify major sources of variation

  • Hierarchical clustering to identify patterns across multiple phenotypic parameters

  • Machine learning approaches for complex phenotypic classification

Reporting standards:

  • Always include sample sizes, variation measures (SD or SEM), and exact P-values

  • Graphically represent data distributions (box plots, violin plots) rather than just means

  • Clearly state the statistical tests used and whether assumptions were verified

How can protein aggregation be minimized when working with recombinant GC2?

Coiled-coil proteins like GC2 are prone to aggregation during recombinant expression and purification. Consider these methodological solutions:

Expression optimization:

  • Lower induction temperatures (16-18°C) significantly reduce aggregation

  • Reduce inducer concentration for slower, more controlled expression

  • Co-express with molecular chaperones (GroEL/ES, DnaK/J) to aid folding

  • Express soluble domains separately rather than full-length protein

Buffer optimization:

  • Screen multiple buffer conditions using thermal shift assays

  • Include mild solubilizing agents (0.1-0.5% glycerol, 50-150 mM NaCl)

  • Test different pH conditions (typically pH 7.0-8.0 works best)

  • Add stabilizing agents such as arginine (50-100 mM) to prevent aggregation

Purification strategies:

  • Implement step-wise dialysis when removing solubilizing agents

  • Use size exclusion chromatography as a final purification step to remove aggregates

  • Consider on-column refolding protocols for proteins recovered from inclusion bodies

  • Maintain protein at concentrations below aggregation threshold

Storage considerations:

  • Flash-freeze aliquots in liquid nitrogen rather than slow freezing

  • Include 5-10% glycerol in storage buffer

  • Avoid repeated freeze-thaw cycles by preparing single-use aliquots

  • Store at -80°C for long-term stability

What are the best approaches for generating specific antibodies against GC2?

Generating specific antibodies against GC2 presents challenges due to potential cross-reactivity with other coiled-coil proteins. The following methodological approach is recommended:

Antigen design:

  • Target unique regions with low homology to other golgins, particularly GC1

  • Consider using peptide antigens from non-conserved regions (15-20 amino acids)

  • For recombinant antigens, express discrete domains rather than full-length protein

  • Avoid regions with high coiled-coil propensity which may cross-react with other proteins

Antibody production:

  • Evaluate both polyclonal (higher sensitivity) and monoclonal (higher specificity) approaches

  • For polyclonals, immunize at least two rabbits to ensure reliable antibody generation

  • For monoclonals, screen many hybridoma clones for specificity

  • Consider using genetic immunization with DNA constructs for native protein folding

Validation methods:

  • Test against tissues from GC2 knockout/knockdown plants as negative controls

  • Perform western blots on fractionated cell compartments to confirm size and localization

  • Pre-absorb antibodies with recombinant protein to confirm specificity

  • Compare immunofluorescence patterns with GFP-GC2 fusion localization

Purification approaches:

  • Use affinity purification against the immunizing antigen

  • Consider dual-purification: positive selection against GC2-specific regions followed by negative selection against regions shared with other golgins

  • Test different bleeds to identify optimal specificity and titer

A combination of these approaches significantly improves chances of obtaining specific antibodies suitable for various applications including immunoblotting, immunofluorescence, and immunoprecipitation.

How might CRISPR/Cas9 genome editing be applied to study GC2 function?

CRISPR/Cas9 technology offers powerful approaches for GC2 functional studies beyond conventional T-DNA insertions:

Gene knockout strategies:

Domain-specific editing:

  • Generate precise deletions of functional domains to create separation-of-function alleles

  • Create chimeric genes by swapping domains between GC2 and other golgins

  • Introduce specific point mutations in key residues identified through structural analysis

Endogenous tagging:

  • Add fluorescent or epitope tags to the endogenous GC2 locus to study native expression levels

  • Create conditional alleles by introducing specific recombination sites

  • Engineer auxin-inducible degron tags for rapid protein depletion studies

Methodological approach:

  • Design multiple sgRNAs using plant-optimized CRISPR design tools

  • Clone into appropriate Agrobacterium vectors for plant transformation

  • Screen transformants by targeted sequencing of the GC2 locus

  • Validate edited lines by RT-PCR and protein analysis

  • Conduct comprehensive phenotypic characterization focusing on Golgi function

This gene editing approach allows more precise manipulation than traditional methods and can reveal functional domains essential for GC2's role in Golgi structure and function.

What interspecies comparative approaches might reveal about GC2 evolution and function?

Comparative studies across plant species can provide valuable insights into GC2 evolution and conserved functional domains:

Phylogenetic analysis:

  • Construct comprehensive phylogenetic trees of golgin proteins across land plants and algae

  • Identify conserved domains that may represent functional cores

  • Analyze rates of evolutionary change to identify regions under selection

Cross-species complementation:

  • Test whether GC2 orthologs from other plants can complement Arabidopsis gc2 mutants

  • Express human golgin-84 in Arabidopsis to test functional conservation across kingdoms

  • Create chimeric proteins combining domains from different species to identify functional modules

Structural comparisons:

  • Use AlphaFold or similar tools to predict structures of GC2 from diverse species

  • Compare predicted structures to identify conserved structural elements despite sequence divergence

  • Correlate structural features with known functional domains

Methodological approach:

  • Identify GC2 orthologs across plant lineages using reciprocal BLAST searches

  • Perform multiple sequence alignments to identify conserved regions

  • Generate transgenic lines expressing heterologous GC2 proteins

  • Assess complementation of cellular phenotypes and biochemical functions

  • Correlate molecular evolution patterns with functional conservation

This evolutionary perspective can reveal which aspects of GC2 function are ancient and conserved versus those that represent lineage-specific adaptations.

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