GCKR Antibody

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Product Specs

Form
Rabbit IgG in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method or location. Please consult your local distributors for specific delivery time information.
Synonyms
FGQTL5 antibody; GCK antibody; GCKR antibody; GCKR_HUMAN antibody; GKRP antibody; GLRE antibody; glucokinase (hexokinase 4) regulator antibody; Glucokinase antibody; Glucokinase regulator antibody; Glucokinase regulatory protein antibody; Hexokinase 4 regulator antibody; Hexokinase type IV antibody; Hexokinase-4 antibody; Hexokinase-D antibody; HK IV antibody; HK4 antibody; OTTHUMP00000158533 antibody
Target Names
GCKR
Uniprot No.

Target Background

Function
Glucokinase regulatory protein (GCKR) regulates glucokinase (GCK) activity by forming an inactive complex with the enzyme. GCKR promotes GCK recruitment to the nucleus, potentially serving as a reserve of GCK that can be rapidly released into the cytoplasm after a meal. The affinity of GCKR for GCK is influenced by fructose metabolites: GCKR bound to fructose 6-phosphate exhibits increased affinity for GCK, whereas GCKR bound to fructose 1-phosphate shows significantly reduced affinity and does not inhibit GCK activity.
Gene References Into Functions
  1. Studies indicate that GCKR and G6PC2 genes may contribute to the risk of type 2 diabetes independently or interactively within the Han Chinese population. PMID: 30055620
  2. Research findings reveal that GCKR is associated with hypertriglyceridemia in Mexican Mestizos but not in Mexican Amerindians. PMID: 30176313
  3. A population-based study demonstrates a link between polymorphisms in lipid regulatory genes, including GCKR (rs780094), GCKR (rs1260333), FADS (rs174547), and MLXIPL (rs3812316), and dyslipidemia in an Iranian population. PMID: 29858861
  4. A genome-wide association study in the United States suggests an association between an SNP in RCN3 (rs34459162) and a missense mutation in GCKR (rs1260236) with serum levels of glycated albumin in white individuals. Additionally, an intergenic SNP in PRKCA (rs2438321) is linked to fructosamine levels and an intronic variant in PRKCA (rs59443763) is associated with glycated albumin levels in black individuals. (RCN3 = reticulocalbin-3) PMID: 29844224
  5. The interaction of alcohol exposure with GCKR (rs780094) and A1CF (rs10821905) influences the risk of gout in Europeans. PMID: 28679452
  6. Meta-analysis reveals that the GCKR rs780094-C allele is associated with an increased risk of gestational diabetes mellitus. PMID: 29410004
  7. Mutations in the genes glucokinase regulatory protein (GCKR), RNase L (RNASEL), leukocyte immunoglobulin-like receptor 3 (LILRA3), and dynein axonemal heavy chain 10 (DNAH10) have been identified as segregating with elevated HDLc levels in families, while no mutations were found to be associated with low HDLc. PMID: 24891332
  8. The rs1260326 T-allele has been associated with plasma lactate levels in both European-Americans and African-Americans. PMID: 26433129
  9. Patients with moderately controlled type 2 diabetes carrying two T alleles exhibited higher plasma triglyceride levels compared to homozygous carriers of the C allele. This difference was not observed in healthy individuals. PMID: 27660121
  10. GCKR has been linked to adiposity and the risk of nonalcoholic fatty liver disease. PMID: 28436986
  11. Research has demonstrated the presence of a liver-specific FOXA2-regulated transcriptional enhancer at an intronic T2D locus represented by rs780094, rs780095, and rs780096 SNPs, which enhances GCKR expression. PMID: 28683826
  12. GCKR Leu446 may influence FGF21 expression by increasing glucokinase (GCK) activity. This, in turn, can lead to enhanced FGF21 expression through elevated fatty acid synthesis, resulting from the inhibition of carnitine/palmitoyl-transferase by malonyl-CoA, and through increased glucose-6-phosphate-mediated activation of the carbohydrate response element binding protein, which is known to regulate FGF21 gene expression. PMID: 28385800
  13. The rs780094 [1.34 (1.21-1.49); p = 8.57 x 10(-8) ] on chromosome 2 at the glucokinase regulatory protein (GCKR) locus showed a significant association with disease, while the rs10911205 [1.29 (1.16-1.44); p = 3.52 x 10(-6) ] on chromosome 1 at the laminin subunit gamma-1 (LAMC1) locus showed suggestive association with disease. PMID: 27599772
  14. Individuals carrying the C allele of rs780094 were found to be 1.41 times more likely to develop gestational diabetes (odds ratio, 95% CI, 0.97-2.03). PMID: 27554451
  15. Among Mexicans, the PNPLA3 (rs738409), LYPLAL1 (rs12137855), PPP1R3B (rs4240624), and GCKR (rs780094) polymorphisms may be associated with a higher risk of chronic liver disease in overweight adults. PMID: 27752939
  16. A study explored the association between a common variant of the glucokinase regulator (GCKR) gene and metabolic syndrome and its related traits in Taiwanese adolescents. PMID: 26799416
  17. This study demonstrates that in patients with type 2 diabetes, not specifically selected for liver abnormalities, liver fat content was related to the GCKR rs1260326 polymorphism. PMID: 25976242
  18. Lifestyle Intervention for Weight Loss and Cardiometabolic Changes in the Setting of Glucokinase Regulatory Protein Inhibition: Glucokinase Regulatory Protein-Leu446Pro Variant in Look AHEAD PMID: 26578543
  19. The GCKR rs780092 variant showed opposite-directional associations with type 2 diabetes and hypertriacylglycerolaemia in a Chinese population. PMID: 26515422
  20. The AA genotype of the GCKR rs780094 polymorphism may increase the risk of T2D among ethnic Uygurs from Xinjiang. PMID: 27455017
  21. Two novel polymorphisms, GCKR rs1260326, and TTC39B rs686030, have been identified as associated with gall bladder disease and obesity in women. PMID: 25920552
  22. Research findings indicate that the PPARGC1A and PNPLA3 variants, but not the GCKR variant, were associated with NASH. PMID: 27015186
  23. Disruption of the GKRP-glucokinase complex presents a promising new target for antidiabetic therapy, as it leads to lower plasma glucose levels without inducing hypoglycemia. [Review] PMID: 26432016
  24. This study provides the first evidence that n-3 LC-PUFAs may modulate the impact of the GCKR rs1260326 polymorphism on TG concentrations in adolescents. Several molecular mechanisms, related to glucose uptake, could explain these findings. PMID: 26136510
  25. SNPs in SORT1, CETP, and GCKR have been individually associated with lipid level variations in the Algerian population. PMID: 26261636
  26. Research has explored interaction effects between GCKR genetic variants and the dietary MUFA:SFA ratio on lipid levels. PMID: 26291577
  27. The rs1260326 in GCKR has been found to be significantly associated with alpha-1 antitrypsin levels. PMID: 26174136
  28. GCKR polymorphisms may act as independent predictors of survival in metastatic gastric cancer patients undergoing first-line EOF chemotherapy. PMID: 26115082
  29. The AA genotype in maternal GCKR rs780094 is associated with an increased risk of neural tube defects and spina bifida in the Chinese population. PMID: 25369983
  30. Single-nucleotide polymorphisms near GCKR have been associated with higher coffee consumption. PMID: 25288136
  31. GCKR variants across the allelic spectrum have demonstrable effects on glucose and lipid homeostasis. [Review] PMID: 25692341
  32. The GCKR rs1260326 gene variant, which is associated with greater glycolysis, increases hepatic De Novo Lipogenesis. PMID: 26043229
  33. Polymorphisms in GCKR, SLC17A1, and SLC22A12 have been associated with gout phenotype in Han Chinese males. PMID: 26290326
  34. Meta-analysis provides evidence of a significant association between GCKR rs780094 and the risk of nonalcoholic fatty liver disease. PMID: 25167786
  35. GCKR rs780094 variants modulate uric acid concentrations in Chinese males. PMID: 25283508
  36. Individuals who are homozygous TT at rs1260326 of the GCKR gene have higher triglyceride, total, and LDL cholesterol levels, regardless of the presence of GCK mutations. PMID: 24918535
  37. Despite evidence for their collective functional and clinical relevance, results highlight the low predictive value of rare GCKR variants in individuals and the complex heritability of lipid traits. PMID: 24879641
  38. Genetic association studies in Japan suggest that SNPs in GCKR (rs780094), TRIB1 (tribbles pseudokinase 1, rs2954021), and PNPLA3 (patatin-like phospholipase domain containing 3, rs738409) are associated with nonalcoholic fatty liver disease. PMID: 24785259
  39. Research findings demonstrate that the GCKR rs1260326 polymorphism is significantly associated with the risk of chronic kidney disease (CKD) in Japanese individuals. Additionally, a potential significant interaction between this polymorphism and current smoking on CKD risk has been identified. PMID: 24535998
  40. GCKR and PNPLA3 genes interact to result in increased susceptibility to NAFLD. PMID: 23800943
  41. Data indicate that in non-alcoholic fatty liver disease (NAFLD), glucokinase regulatory protein (GCKR) rs780094 C>T is associated with the severity of liver fibrosis and with higher serum triglyceride levels. PMID: 24498332
  42. GCKR rs780094 has been associated with TG, HDL-C, and HbA1c levels, as well as with CIMT in Japanese community-dwelling men. PMID: 23989113
  43. Genetic association studies in a population in Norfolk, England suggest that an SNP in GCKR (rs780094) is associated with the risk of cardiometabolic diseases (cardiovascular diseases; diabetes type 2) in the studied population. PMID: 24804806
  44. Genetic polymorphism has been associated with Factor VII and plasma viscosity. PMID: 24178511
  45. The GCKR rs780093 polymorphism has been identified as a risk factor for coronary heart disease in individuals aged 65 and older. PMID: 24385677
  46. RESULTS: rs1260326 in GCKR (beta=1.30, P = 3.23E-03), rs17319721 in SHROOM3 (beta = -1.28, P-value = 3.18E-03), and rs12917707 in UMOD (beta = 2.0, P-value = 8.84E-04) were significantly associated with baseline estimated GFR. PMID: 23586973
  47. Genetic association studies in the Han Chinese population in Taiwan indicate that an SNP in GCKR (rs780094) is associated with increased susceptibility/risk of nonalcoholic fatty liver disease in the population of obese children studied. PMID: 24477042
  48. Findings from middle-aged to older adults confirm associations between rs1260326 GCKR and triglycerides and glucose, suggesting gene-environment interactions, but do not provide evidence that its relevance extends to cognitive and physical capability. PMID: 23894584
  49. Some, but not all, associations between variants in NCAN, lysophospholipase-like 1, GCKR, and PPP1R3B with hepatic steatosis (with and without increased ALT level) were significant within subpopulations. PMID: 23416328
  50. Our observations provide a model for the regulation of GCK-GKRP complex stability by sugar phosphates involving a subtle reorganization of the GKRP scaffold. PMID: 23957911

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Database Links

HGNC: 4196

OMIM: 600842

KEGG: hsa:2646

STRING: 9606.ENSP00000264717

UniGene: Hs.89771

Protein Families
GCKR family
Subcellular Location
Cytoplasm. Nucleus. Mitochondrion.
Tissue Specificity
Found in liver and pancreas. Not detected in muscle, brain, heart, thymus, intestine, uterus, adipose tissue, kidney, adrenal, lung or spleen.

Q&A

What is GCKR and why is it important in metabolic research?

GCKR (Glucokinase Regulatory Protein) is a regulatory protein that inhibits glucokinase (GCK) in liver and pancreatic islet cells by forming inactive complexes with the enzyme . It plays a crucial role in glucose metabolism by promoting GCK recruitment to the nucleus, providing a reserve that can be quickly released into the cytoplasm after meals . The importance of GCKR in metabolic research stems from its involvement in glucose homeostasis and the association of GCKR gene variants with conditions such as hypertriglyceridemia, type 2 diabetes (T2D), and non-alcoholic fatty liver disease (NAFLD) . Understanding GCKR function provides insights into metabolic disease pathophysiology and potential therapeutic targets.

What applications are GCKR antibodies commonly used for in research?

GCKR antibodies are utilized across multiple experimental applications:

  • Western Blotting (WB): For detecting GCKR protein in denatured samples

  • Immunohistochemistry (IHC): For visualizing GCKR in tissue sections

  • Immunofluorescence (IF): For cellular localization studies

  • Immunoprecipitation (IP): For isolating GCKR protein complexes

  • ELISA: For quantitative detection of GCKR

The appropriate application depends on the research question being addressed, with each technique providing different insights into GCKR expression, localization, and interactions.

What are the key considerations when selecting a GCKR antibody for my experiment?

When selecting a GCKR antibody, researchers should consider:

Selection CriteriaImportance
SpecificityEnsure the antibody specifically recognizes GCKR without cross-reactivity to other proteins
Species reactivityConfirm compatibility with your experimental model (human, mouse, rat)
ClonalityPolyclonal antibodies offer broader epitope recognition, while monoclonal antibodies provide higher specificity
Application validationVerify the antibody has been validated for your specific application (WB, IHC, IF, etc.)
Epitope locationConsider whether the antibody recognizes N-terminal, C-terminal, or internal regions based on your experimental needs
Publication recordCheck if the antibody has been successfully used in published studies

Proper validation of antibodies prior to use is critical, as inconsistent antibody quality can lead to unreliable results .

How can I validate a GCKR antibody to ensure specificity and reliability in my experiments?

Comprehensive validation of GCKR antibodies should include multiple approaches:

  • Positive and negative controls:

    • Use tissues/cells known to express GCKR (e.g., liver cells like HepG2) as positive controls

    • Use tissues/cells with low or no GCKR expression as negative controls

    • Consider GCKR knockout or knockdown models if available

  • Multiple detection methods:

    • Cross-validate results using different techniques (e.g., WB, IHC, IF)

    • Compare results from antibodies targeting different epitopes of GCKR

  • Blocking peptide experiments:

    • Pre-incubate the antibody with the immunizing peptide to confirm signal specificity

    • The signal should be significantly reduced or eliminated in the presence of the blocking peptide

  • Molecular weight verification:

    • Confirm that the detected band in Western blot aligns with the expected molecular weight of GCKR (approximately 68-69 kDa)

  • Recombinant protein controls:

    • Use purified recombinant GCKR protein as a standard

    • Compare antibody reactivity against tagged recombinant GCKR expressed in cell systems

Given the documented inconsistencies in antibody use in laboratory experiments , these validation steps are essential for ensuring reliable and reproducible results.

How do I troubleshoot non-specific binding or weak signals when using GCKR antibodies?

When encountering issues with GCKR antibody performance, consider the following troubleshooting approaches:

  • For non-specific binding:

    • Optimize antibody concentration by testing a dilution series (typically 1:500-1:2000 for WB, 1:50-1:100 for IHC)

    • Increase blocking time or concentration (e.g., 5% BSA or milk)

    • Add detergent (0.1-0.3% Tween-20) to wash buffers

    • Consider more stringent washing conditions

    • Use alternative blocking agents if high background persists

  • For weak signals:

    • Check sample preparation to ensure GCKR protein integrity

    • Increase antibody concentration or incubation time

    • Optimize protein extraction methods for nuclear proteins, as GCKR is often nuclear-localized

    • Use signal enhancement systems appropriate for your detection method

    • Consider tissue-specific expression levels, as GCKR is primarily expressed in liver and pancreatic tissues

  • For inconsistent results:

    • Standardize sample collection, storage, and preparation protocols

    • Ensure antibody storage conditions follow manufacturer recommendations (typically -20°C with minimal freeze-thaw cycles)

    • Test different lot numbers if available, as antibody performance can vary between lots

    • Consider using recombinant antibodies for improved lot-to-lot consistency

What experimental approaches can be used to study GCKR-GCK interactions using GCKR antibodies?

To investigate GCKR-GCK interactions, researchers can employ several sophisticated approaches:

  • Co-immunoprecipitation (Co-IP):

    • Use GCKR antibodies to immunoprecipitate GCKR along with interacting GCK

    • Western blot analysis of precipitated complexes with GCK-specific antibodies

    • Include controls with and without metabolic modulators like fructose-6-phosphate and fructose-1-phosphate, which affect GCKR-GCK binding

  • Proximity Ligation Assay (PLA):

    • Employ antibodies against both GCKR and GCK to visualize protein-protein interactions in situ

    • Quantify interaction signals under different metabolic conditions

  • Homogenous Time-Resolved Fluorescence (HTRF) assay:

    • Implement high-throughput assays to measure GCKR-GCK interactions as described in research

    • Use this approach to compare wild-type and variant GCKR proteins simultaneously

  • Immunofluorescence co-localization:

    • Use dual-labeling with GCKR and GCK antibodies to assess subcellular co-localization

    • Track changes in localization in response to metabolic stimuli

  • Surface Plasmon Resonance (SPR) or Biolayer Interferometry (BLI):

    • Purify GCKR using immunoaffinity approaches with validated antibodies

    • Measure binding kinetics between purified GCKR and GCK

These approaches allow researchers to explore the dynamic nature of GCKR-GCK interactions, particularly how they are modulated by metabolites and affected by genetic variants .

How can GCKR antibodies be used to study the role of GCKR variants in metabolic diseases?

GCKR antibodies can be instrumental in characterizing the functional consequences of GCKR variants:

  • Expression analysis of variant proteins:

    • Compare expression levels of wild-type versus variant GCKR in patient samples or model systems using quantitative Western blot

    • Assess subcellular localization changes in variant GCKR proteins using immunofluorescence

  • Functional characterization:

    • Investigate the impact of variants on GCK-GKRP interaction using co-immunoprecipitation or HTRF assays

    • Analyze how variants affect GCKR response to metabolic regulators like fructose-6-phosphate and fructose-1-phosphate

  • Tissue-specific studies:

    • Examine GCKR expression patterns in liver biopsies from patients with different GCKR genotypes using immunohistochemistry

    • Compare GCKR expression in relevant tissues from animal models of metabolic disease

  • Correlation with clinical parameters:

    • Combine GCKR protein analysis with clinical data on triglyceride levels, glucose homeostasis, and disease progression

    • Investigate how GCKR protein function correlates with presence of specific variants (e.g., rs1260326, rs780094)

This research is particularly relevant as common GCKR variants (rs1260326 and rs780094) have been associated with seemingly contradictory effects: lower risk for T2D but higher risk for NAFLD and elevated triglycerides .

What techniques can be used to investigate GCKR expression regulation in different metabolic states?

To study GCKR expression regulation across metabolic conditions:

  • Chromatin Immunoprecipitation (ChIP):

    • Identify transcription factors (e.g., FOXA2) that bind to the GCKR promoter under different metabolic conditions

    • Combine with GCKR antibodies for protein expression correlation

  • Metabolic manipulation experiments:

    • Examine changes in GCKR protein levels in response to hormonal stimuli (e.g., glucagon) using Western blot

    • Analyze GCKR subcellular redistribution during fasting/feeding cycles using immunofluorescence

  • In vivo models:

    • Use tissue-specific immunohistochemistry to track GCKR expression in animal models under different dietary interventions

    • Compare GCKR protein levels across metabolic disease models with control animals

  • Cell-based reporter systems:

    • Develop reporter systems to monitor GCKR transcriptional regulation

    • Validate findings with endogenous GCKR protein detection using specific antibodies

Research has shown that GCKR expression can be regulated by FOXA2 in response to glucagon, suggesting complex hormonal control of GCKR levels . Understanding these regulatory mechanisms may provide insights into therapeutic approaches for metabolic disorders.

How can I design experiments to investigate the relationship between GCKR function and follistatin in type 2 diabetes research?

Recent research has revealed a potential connection between GCKR and follistatin in the context of type 2 diabetes . To investigate this relationship:

  • Co-expression analysis:

    • Use GCKR antibodies alongside follistatin detection to assess co-expression patterns in liver and other relevant tissues

    • Quantify correlation between GCKR and follistatin protein levels in patient samples

  • Mechanistic studies:

    • Implement GCKR knockdown or overexpression in cell models, followed by Western blot analysis of follistatin secretion

    • Assess the impact of GCKR variants (especially rs780094) on follistatin production and secretion

  • Metabolic challenge experiments:

    • Measure changes in GCKR and follistatin levels in response to glucose or lipid challenges in cellular or animal models

    • Use immunoprecipitation to identify potential protein-protein interactions between GCKR and components of follistatin regulatory pathways

  • Clinical correlation studies:

    • Design immunoassays to measure GCKR and follistatin levels in patient cohorts with different GCKR genotypes

    • Analyze how GCKR variant status correlates with follistatin levels and diabetes risk parameters

This research direction is particularly promising as GWAS analyses have identified the SNP rs1260326 in the GCKR gene to strongly associate with plasma follistatin levels, which may explain some of the metabolic consequences of GCKR variants .

What are the optimal sample preparation methods for GCKR antibody-based applications?

Effective sample preparation is crucial for reliable GCKR detection:

  • For Western blotting:

    • Use RIPA or NP-40 buffers supplemented with protease inhibitors

    • Consider nuclear extraction protocols as GCKR is often nuclear-localized

    • Optimize protein loading (typically 25-35 µg per lane)

    • Include phosphatase inhibitors if studying post-translational modifications

  • For immunohistochemistry:

    • Test different fixation methods (formalin, paraformaldehyde)

    • Optimize antigen retrieval conditions (heat-induced epitope retrieval at pH 6.0 or 9.0)

    • Consider tissue-specific protocols for liver samples, where GCKR is highly expressed

  • For immunofluorescence:

    • Preserve subcellular structures with gentle fixation (2-4% paraformaldehyde)

    • Include permeabilization step (0.1-0.5% Triton X-100)

    • Consider nuclear counterstaining to visualize GCKR nuclear localization

  • For immunoprecipitation:

    • Use gentler lysis conditions to preserve protein-protein interactions

    • Pre-clear lysates to reduce non-specific binding

    • Consider crosslinking approaches for transient interactions

Optimizing these parameters is essential given the documented challenges with antibody reproducibility in research applications .

How do I reconcile contradictory results when using different GCKR antibodies?

When facing contradictory results between different GCKR antibodies:

  • Systematic antibody validation:

    • Compare antibodies targeting different epitopes of GCKR (N-terminal, C-terminal, internal regions)

    • Validate each antibody using positive and negative controls

    • Consider using knockout/knockdown models as definitive negative controls

  • Cross-platform validation:

    • Test the same biological question using complementary techniques (e.g., both Western blot and immunofluorescence)

    • Use orthogonal approaches not dependent on antibodies (e.g., mass spectrometry)

  • Methodological troubleshooting:

    • Standardize experimental conditions when comparing antibodies

    • Consider epitope masking due to protein interactions or post-translational modifications

    • Evaluate antibody concentration, incubation time, and detection systems

  • Critical data analysis:

    • Document all antibody information (catalog number, lot, dilution) in research notes

    • Consider pre-registering experiments to reduce confirmation bias

    • Develop quantitative criteria for interpreting conflicting results

The inconsistent use of antibodies in research is a documented problem , highlighting the importance of rigorous validation and transparent reporting of antibody methods.

What emerging technologies can enhance the specificity and utility of GCKR antibodies in research?

Several advanced technologies can improve GCKR antibody applications:

  • Recombinant antibody technology:

    • Consider using recombinant GCKR antibodies for improved lot-to-lot consistency

    • Explore synthetic antibody libraries for generating highly specific GCKR binders

  • Single-cell applications:

    • Implement imaging mass cytometry or CODEX for multiplexed detection of GCKR alongside other proteins

    • Explore spatial transcriptomics combined with GCKR protein detection

  • Proximity-based assays:

    • Use proximity extension assays for ultrasensitive GCKR detection in limited samples

    • Employ BioID or APEX2 proximity labeling with GCKR antibodies for interaction studies

  • High-throughput functional assays:

    • Adapt homogenous time-resolved fluorescence (HTRF) assays for screening GCKR interactions with GCK

    • Develop multiplexed assays to simultaneously measure multiple parameters of GCKR function

  • Machine learning approaches:

    • Implement computational tools to predict optimal antibody pairs for sandwich assays

    • Use image analysis algorithms to quantify subcellular GCKR distribution in immunofluorescence studies

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