GT1.1, formally designated BG505 SOSIP.GT1.1 gp140, is a soluble, cleavage-competent HIV-1 Env trimer. It is engineered to present native-like conformational epitopes while enhancing accessibility to germline (gl) B cell receptors (BCRs) of bnAb lineages, such as VRC01-class and PGT121-class antibodies . Key design features include:
Modifications to the CD4 binding site (CD4bs): Optimized to engage gl-VRC01 precursors .
Trimer stabilization: Uses SOSIP (a disulfide bond and Ile→Pro substitution) to maintain prefusion conformation .
Glycan trimming: Alters glycosylation patterns to expose conserved epitopes .
GT1.1 activates B cells via two primary mechanisms:
CD4bs-specific priming: Engages gl-VRC01 precursors through optimized CD4bs accessibility, driving somatic hypermutation toward bnAb maturation .
Epitope-specific activation: Despite low in vitro affinity for gl-PGT121, GT1.1 induces antibodies targeting the N332/V3-base epitope in vivo, likely through avidity-driven B cell activation .
Knock-in mouse models:
Nonhuman primates (NHPs):
A Phase 1 trial (NCT04224701) is evaluating GT1.1’s safety and immunogenicity in healthy adults :
| Parameter | Details |
|---|---|
| Dosage | 30 µg or 300 µg, intramuscular |
| Schedule | Months 0, 2, 6 |
| Primary outcome | Neutralizing antibody titers |
Preliminary data show GT1.1 is well-tolerated, with no severe adverse events reported .
GT1.1 outperforms earlier SOSIP trimers in preclinical models:
| Immunogen | CD4bs B Cell Activation | Autologous Neutralization |
|---|---|---|
| GT1.1 | ++++ | IC50: 0.8 µg/mL |
| SOSIP.664 | + | IC50: 5.2 µg/mL |
| SOSIP.v4.1 | ++ | IC50: 3.1 µg/mL |
GT1.1 represents a promising candidate for HIV vaccine development, with ongoing efforts focused on:
KEGG: sce:YIR038C
STRING: 4932.YIR038C
GLUT1 antibody is a research tool designed to detect the Glucose Transporter 1 protein, which is encoded by the SLC2A1 gene. This transmembrane protein facilitates the transport of glucose across cellular membranes and is widely expressed in various tissues, particularly in erythrocytes and the blood-brain barrier. The antibody specifically recognizes epitopes on the GLUT1 protein, which has a calculated molecular weight of approximately 54 kDa . GLUT1 is also known by several alternative names, including SLC2A1, erythrocyte/brain glucose transporter, and facilitated glucose transporter member 1 .
GLUT1 antibody is utilized across multiple experimental techniques in biomedical research:
Western Blotting (WB): For protein detection and quantification in cell or tissue lysates
Immunocytochemistry/Immunofluorescence (ICC/IF): For cellular localization studies
Immunohistochemistry (IHC): For tissue distribution analysis
Flow Cytometry (FC): For quantitative analysis of cell populations
The antibody demonstrates reactivity across multiple species including human, mouse, and rat samples, making it versatile for comparative studies .
For optimal GLUT1 detection in Western blotting applications, researchers should consider the following methodology:
Sample preparation: Lyse cells or tissues in a buffer containing protease inhibitors to prevent protein degradation
Protein denaturation: Heat samples at 95°C for 5 minutes in loading buffer containing SDS and a reducing agent
Gel selection: Use 10-12% polyacrylamide gels for optimal separation of the 54 kDa GLUT1 protein
Transfer conditions: Transfer to PVDF or nitrocellulose membranes using standard protocols
Blocking: Block with 5% non-fat dry milk or BSA in TBST to minimize non-specific binding
Antibody dilution: Follow manufacturer's recommendations for primary antibody dilution (typically 1:1000 to 1:2000)
Detection: Utilize chemiluminescent, fluorescent, or colorimetric detection systems compatible with secondary antibodies
Researchers should verify molecular weight markers to ensure the detected band corresponds to the expected 54 kDa size of GLUT1 .
For successful immunohistochemical detection of GLUT1, researchers should implement this methodological approach:
Tissue fixation: Use 10% neutral buffered formalin for optimal antigen preservation
Sectioning: Prepare 4-6 μm thick sections for optimal antibody penetration
Antigen retrieval: Perform heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Endogenous peroxidase blocking: Incubate sections with 3% hydrogen peroxide
Protein blocking: Block with serum-free protein block to reduce background
Primary antibody: Incubate with properly diluted GLUT1 antibody (typically 1:100 to 1:500) overnight at 4°C
Detection system: Use polymer-based detection systems for enhanced sensitivity
Counterstaining: Apply hematoxylin for nuclear visualization
Controls: Include positive controls (tissues known to express GLUT1) and negative controls (primary antibody omitted)
This protocol enables specific detection of GLUT1 in various tissue types while minimizing background staining .
Validation of GLUT1 antibody specificity is crucial for obtaining reliable research results. A comprehensive validation approach should include:
Knockout/knockdown validation: Compare staining patterns between wild-type samples and those with GLUT1 gene knockout or knockdown
Peptide competition assays: Pre-incubate the antibody with the immunizing peptide to demonstrate binding specificity
Multiple antibody comparison: Use antibodies raised against different epitopes of GLUT1
Cross-reactivity testing: Evaluate potential cross-reactivity with other glucose transporter family members (GLUT2-GLUT12)
Western blotting verification: Confirm a single band at the expected molecular weight (54 kDa)
Known expression pattern correlation: Compare staining with established GLUT1 expression patterns in tissues
Modern recombinant antibody production techniques have improved lot-to-lot consistency, but validation remains essential to ensure experimental reproducibility .
Implementing appropriate controls is critical for ensuring reliable results with GLUT1 antibody:
| Control Type | Purpose | Implementation |
|---|---|---|
| Positive Control | Verify antibody functionality | Include samples known to express GLUT1 (erythrocytes, brain endothelial cells) |
| Negative Control | Assess non-specific binding | Omit primary antibody or use isotype control |
| Knockout/Knockdown Control | Confirm specificity | Use GLUT1 knockout or knockdown samples |
| Loading Control | Ensure equal sample loading | Probe for housekeeping proteins (β-actin, GAPDH) in Western blots |
| Secondary Antibody Control | Detect non-specific secondary binding | Omit primary antibody but include secondary antibody |
| Tissue-specific Control | Validate tissue-specific expression | Include tissues known to be positive or negative for GLUT1 |
These controls help differentiate between true GLUT1 signal and experimental artifacts, enhancing result interpretation and reproducibility .
GLUT1 antibody has become a valuable tool in cancer research due to the well-documented upregulation of glucose metabolism in many tumors (the Warburg effect). Methodological applications include:
Tumor classification: GLUT1 expression levels can help classify tumors based on metabolic activity
Prognostic marker analysis: Correlate GLUT1 expression with patient outcomes through immunohistochemistry of tissue microarrays
Therapeutic target identification: Assess GLUT1 as a potential therapeutic target in cancer cells
PET scan correlation studies: Compare GLUT1 expression with 18F-FDG uptake in PET imaging
Drug resistance mechanisms: Investigate the relationship between GLUT1 expression and resistance to specific chemotherapeutics
Hypoxia response evaluation: Study GLUT1 upregulation as a marker of hypoxic conditions in tumor microenvironments
The application requires careful quantification of staining intensity and distribution patterns when correlating with clinical outcomes and treatment responses.
For metabolic disorder research, GLUT1 antibody enables investigation of glucose transport mechanisms through these methodological approaches:
Tissue distribution analysis: Compare GLUT1 expression across multiple tissues in normal versus diseased states
Subcellular localization studies: Assess membrane translocation of GLUT1 in response to insulin or other stimuli
Co-localization experiments: Combine GLUT1 antibody with markers for specific cellular compartments to track trafficking
Quantitative flow cytometry: Measure GLUT1 surface expression in different cell populations
Dynamic expression studies: Monitor changes in GLUT1 expression during disease progression or treatment
Comparative model systems: Evaluate GLUT1 expression across different animal models of diabetes or obesity
These approaches provide insights into the mechanistic role of glucose transport dysregulation in metabolic pathologies.
Non-specific binding is a frequent challenge when working with GLUT1 antibody. Common causes and solutions include:
Insufficient blocking:
Increase blocking time (1-2 hours)
Try alternative blocking agents (5% BSA, 5% normal serum, commercial blocking buffers)
Add 0.1-0.3% Triton X-100 for membrane permeabilization
Suboptimal antibody concentration:
Perform titration experiments to determine optimal antibody dilution
Consider using higher dilutions (1:500-1:2000) to reduce background
Cross-reactivity with other glucose transporters:
Verify antibody specificity against GLUT family members
Consider using monoclonal antibodies targeting unique GLUT1 epitopes
Sample over-fixation:
Optimize fixation time and conditions
Enhance antigen retrieval by extending heat treatment or trying alternative buffers
Endogenous enzyme activity:
Ensure complete quenching of endogenous peroxidase activity
Add levamisole to block alkaline phosphatase in tissue sections
Systematic optimization of these parameters will significantly improve signal-to-noise ratio in GLUT1 detection.
When encountering weak or absent GLUT1 signal in Western blotting, researchers should implement this systematic troubleshooting approach:
Sample preparation issues:
Use appropriate lysis buffers with protease inhibitors
Avoid excessive sample heating that may cause protein aggregation
Ensure complete membrane protein solubilization with detergents
Transfer efficiency problems:
Optimize transfer conditions (time, voltage, buffer composition)
Verify transfer efficiency with reversible protein staining (Ponceau S)
Consider using PVDF membrane instead of nitrocellulose for better protein retention
Antibody-related factors:
Verify antibody functionality with positive control samples
Use fresh antibody dilutions and avoid repeated freeze-thaw cycles
Consider longer primary antibody incubation (overnight at 4°C)
Detection sensitivity limitations:
Implement more sensitive detection methods (enhanced chemiluminescence)
Increase exposure time within the linear range of detection
Consider signal amplification systems for low-abundance targets
Protein degradation concerns:
Use fresher samples and maintain cold chain during preparation
Add additional protease inhibitors to prevent degradation
Avoid repeated freeze-thaw cycles of protein samples
This methodical approach addresses most technical issues affecting GLUT1 detection sensitivity.
GLUT1 antibody serves as an essential tool for studying GLUT1 Deficiency Syndrome (GLUT1DS) and related neurological conditions through these methodological approaches:
Diagnostic immunohistochemistry: Assess GLUT1 expression in brain tissue biopsies to confirm reduced protein levels
Blood-brain barrier studies: Evaluate GLUT1 localization and expression in brain endothelial cells
CSF glucose transport analysis: Compare GLUT1 expression with CSF/blood glucose ratios
Genetic correlation studies: Relate SLC2A1 mutations to protein expression patterns
Treatment response monitoring: Assess GLUT1 expression changes in response to ketogenic diet therapy
Animal model validation: Verify GLUT1 expression in mouse models of GLUT1DS
These applications provide insights into the pathophysiology of glucose transport deficiency in the central nervous system and help evaluate potential therapeutic interventions .
While GLUT1 itself is not a primary autoantigen in type 1 diabetes, research in this field has revealed interesting connections that can be studied using GLUT1 antibody:
Beta cell metabolism analysis: Study GLUT1 expression in pancreatic beta cells under autoimmune attack
Immune cell glucose utilization: Investigate GLUT1 upregulation in activated T cells during autoimmune processes
Comparative autoantibody studies: Analyze relationships between established diabetes autoantibodies (GAD65, IA-2, insulin) and metabolic markers
Gut-pancreas axis research: Explore connections between gut commensal bacteria, autoimmunity, and glucose metabolism
Therapeutic intervention assessment: Evaluate how immunomodulatory treatments affect GLUT1 expression in immune and beta cells
Research has shown that antibodies against certain gut commensal bacteria can predict type 1 diabetes development and treatment response, highlighting connections between gut immunity and metabolic regulation .
Advanced multiplexed imaging approaches offer new possibilities for GLUT1 research:
Multiplex immunofluorescence:
Simultaneously visualize GLUT1 with other markers (transporters, signaling molecules)
Study co-localization and protein interactions in tissue context
Quantify expression in specific cell populations within heterogeneous tissues
Mass cytometry (CyTOF) applications:
Analyze GLUT1 expression alongside dozens of other markers at single-cell resolution
Identify rare cell populations with unique GLUT1 expression patterns
Correlate GLUT1 with functional and phenotypic markers
Spatial transcriptomics integration:
Combine GLUT1 protein detection with gene expression analysis
Correlate protein levels with mRNA expression in the same tissue section
Identify regulatory mechanisms controlling GLUT1 expression
Super-resolution microscopy:
Visualize GLUT1 distribution at nanometer resolution
Study membrane organization and clustering patterns
Assess co-localization with other membrane proteins at molecular scale
These emerging techniques provide unprecedented resolution and dimensionality for studying GLUT1 biology in complex tissues and disease states.
Post-translational modifications (PTMs) of GLUT1 significantly impact its function and regulation. When designing experiments to study these modifications:
PTM-specific antibody selection:
Use antibodies specifically recognizing phosphorylated, glycosylated, or ubiquitinated GLUT1
Validate specificity with appropriate controls (phosphatase treatment, deglycosylation)
Consider generating custom antibodies against specific modified residues
Sample preparation optimization:
Use phosphatase inhibitors to preserve phosphorylation states
Include deubiquitinase inhibitors when studying ubiquitination
Optimize lysis conditions to maintain PTM integrity
Enrichment strategies:
Implement immunoprecipitation to concentrate GLUT1 before PTM analysis
Use phosphopeptide enrichment techniques for mass spectrometry applications
Apply lectin affinity chromatography for glycosylation studies
Detection method considerations:
Employ Phos-tag gels for enhanced separation of phosphorylated proteins
Use specific glycosidases to confirm glycosylation status
Implement mass spectrometry for comprehensive PTM mapping
Functional correlation approaches:
Design site-directed mutagenesis of PTM sites to assess functional significance
Correlate PTM patterns with transporter activity and localization
Study PTM dynamics in response to physiological stimuli
This methodological framework enables comprehensive analysis of how PTMs regulate GLUT1 function in normal physiology and disease states.