Phosphorylation of EIF2S1 at S51 stabilizes the eIF2-GDP complex, impairing GDP-GTP exchange mediated by eIF2B. This reduces global cap-dependent translation while promoting selective translation of ISR-specific mRNAs (e.g., ATF4) . Key pathways include:
Stress Response: Activation by kinases (e.g., PERK, GCN2) during ER stress, amino acid deprivation, or mitochondrial damage .
Tumorigenesis: Elevated ISR in tumors supports translation of pro-survival genes despite stress .
Mitophagy: Phosphorylation by HRI relocalizes EIF2S1 to mitochondria, triggering PRKN-independent mitophagy .
This antibody is validated for diverse techniques, with application-specific dilutions and protocols:
Dot Blot: Discriminates phospho vs. non-phospho peptides (e.g., Abcam E90) .
IHC Controls: Alkaline phosphatase-treated samples show no staining, confirming specificity .
Reactivity: Cross-species validity (human, mouse, rat) in some clones (e.g., Boster Bio P04387) .
Cross-reactivity: Potential with non-phosphorylated EIF2S1 requires careful controls .
Species Variability: Not all clones react with non-human models (e.g., Cusabio’s human-specific 1C6 ).
Therapeutic Use: Strictly restricted to research (e.g., St. John’s Labs S2MR ).
Emerging research focuses on:
Dual Phosphorylation Detection: Combining S51 with other sites (e.g., S49/S52) for ISR pathway mapping .
Therapeutic Antibodies: Targeting eIF2S1 phosphorylation to modulate stress responses in diseases .
High-Throughput Screening: Recombinant antibodies in automated platforms for ISR drug discovery .
EIF2S1 (eIF2-alpha) is a key subunit of the eukaryotic translation initiation factor 2 (eIF2) complex that functions in the early steps of protein synthesis. This complex forms a ternary complex with GTP and initiator tRNA, which then binds to a 40S ribosomal subunit followed by mRNA binding to form a 43S pre-initiation complex (43S PIC) . Phosphorylation at serine 51 (S51) transforms EIF2S1 into a global protein synthesis inhibitor, as this modification prevents the recycling of the eIF2 complex by inhibiting the guanine nucleotide exchange factor eIF2B .
The phosphorylation of EIF2S1 at S51 is mediated by four dedicated stress-sensing kinases: EIF2AK1/HRI (responding to heme deficiency and oxidative stress), EIF2AK2/PKR (activated by viral infection), EIF2AK3/PERK (triggered by endoplasmic reticulum stress), and EIF2AK4/GCN2 (responding to amino acid deficiency) . This phosphorylation event represents a central node in the integrated stress response (ISR) pathway, allowing cells to rapidly adapt to various stressors by reprogramming translation and gene expression.
When EIF2S1 becomes phosphorylated at S51 during cellular stress, it leads to a dual effect on translation: general inhibition of cap-dependent translation while simultaneously promoting the preferential translation of specific stress-responsive mRNAs . This selective translation includes transcriptional activators such as ATF4 and QRICH1, which orchestrate expression of genes involved in stress adaptation .
The stress-induced translation of ATF4 and other transcription factors leads to the activation of downstream genes involved in amino acid metabolism, redox homeostasis, autophagy, and cell fate decisions. For example, studies with EIF2S1 S51A mutant (phosphorylation-deficient) cells have demonstrated defects in autophagosome and autolysosome formation under ER stress conditions, highlighting the essential role of phospho-EIF2S1 in autophagy regulation .
Notably, phosphorylated EIF2S1 facilitates the nuclear translocation of transcription factors TFEB and TFE3, which are master regulators of autophagy and lysosomal biogenesis. This process requires cooperation with other unfolded protein response (UPR) components, including EIF2AK3/PERK and PPP3/calcineurin-mediated dephosphorylation mechanisms .
Phospho-EIF2S1 (S51) recombinant monoclonal antibodies have been validated for multiple experimental applications with varying levels of reliability:
Application | Reliability | Key Considerations |
---|---|---|
Western Blot (WB) | High | Excellent for quantitative analysis of phosphorylation levels |
Immunohistochemistry on paraffin-embedded sections (IHC-P) | High | Validated with multi-tissue microarray (TMA) approach |
Dot Blot | Medium-High | Useful for rapid screening |
Immunocytochemistry/Immunofluorescence (ICC/IF) | Medium | Allows subcellular localization studies |
The recombinant format of these antibodies, particularly the E90 clone, provides exceptional batch-to-batch consistency, eliminating the need for same-lot requests that often plague research utilizing polyclonal antibodies . This consistency is crucial for longitudinal studies and comparing results across different experimental timepoints.
Phospho-EIF2S1 (S51) recombinant monoclonal antibodies have been validated across multiple model systems:
Species/Model | Applications | Validation Level |
---|---|---|
Human | WB, IHC-P, ICC/IF | Extensively validated |
Mouse | WB, IHC-P | Extensively validated |
Rat | WB, IHC-P | Validated |
Neurospora crassa | WB | Limited validation |
Cell-free systems (synthetic peptide) | WB, dot blot | Validated |
When using these antibodies in novel model systems, researchers should conduct preliminary validation experiments due to potential species-specific differences in epitope accessibility or post-translational modification patterns surrounding the phosphorylation site .
Phospho-EIF2S1 (S51) antibodies serve as essential tools for dissecting the activation of different integrated stress response (ISR) branches. Each of the four EIF2S1 kinases (EIF2AK1-4) responds to distinct stress stimuli, and careful experimental design using phospho-specific antibodies can reveal which pathway is predominantly activated under specific conditions .
For systematic investigation of ISR branches, researchers can employ the following approach:
Use selective stressors that preferentially activate specific kinases (e.g., thapsigargin for PERK activation, poly(I:C) for PKR activation)
Compare phospho-EIF2S1 (S51) levels using recombinant monoclonal antibodies
Validate pathway specificity using kinase-specific inhibitors or genetic knockdown/knockout models
Examine downstream effectors like ATF4 and QRICH1 to confirm functional consequences
This methodological framework allows researchers to distinguish between primary stress responses and secondary adaptive mechanisms, providing insights into the complex interplay between different cellular stress pathways .
When conducting multi-parameter analysis of stress responses using phospho-EIF2S1 (S51) antibodies, researchers should implement a comprehensive experimental design that captures both temporal dynamics and pathway interactions:
Parameter | Measurement Approach | Technical Considerations |
---|---|---|
Phospho-EIF2S1 levels | Western blot with phospho-specific antibody | Use recombinant monoclonal antibodies; include total EIF2S1 controls |
Translational status | Polysome profiling or puromycin incorporation | Correlate with phospho-EIF2S1 levels |
Downstream effector activation | Western blot or RT-qPCR for ATF4, QRICH1, etc. | Establish temporal relationship with phosphorylation |
Stress kinase activation | Kinase-specific phospho-antibodies | Determine which kinase is responsible for EIF2S1 phosphorylation |
Subcellular localization | Fractionation or immunofluorescence | Assess mitochondrial association during stress |
For optimal results, researchers should first perform a time-course analysis to determine the kinetics of EIF2S1 phosphorylation in their specific experimental system. This temporal profile will inform subsequent investigations of downstream effectors and functional outcomes .
Phosphorylation of EIF2S1 at S51 plays a critical role in the regulation of autophagy, particularly during endoplasmic reticulum stress. Research using EIF2S1 S51A mutant (A/A) cells has revealed that phospho-EIF2S1 is required for multiple steps of the autophagic process :
Autophagosome formation: Phospho-EIF2S1 (S51) facilitates the nuclear translocation of TFEB and TFE3, master transcription factors controlling autophagy gene expression
Autolysosome formation: The phosphorylation state of EIF2S1 influences fusion events between autophagosomes and lysosomes
Transcriptional regulation: Downstream effectors of phospho-EIF2S1, such as ATF4, XBP1s, and ATF6, differentially contribute to autophagy gene expression
For accurate correlation analysis, researchers should monitor phospho-EIF2S1 (S51) levels alongside established autophagy markers such as LC3-II/LC3-I ratio, SQSTM1/p62 degradation, and autophagosome formation using fluorescence microscopy. Importantly, while EIF2S1 phosphorylation is necessary for stress-induced autophagy, it operates in conjunction with other regulatory mechanisms like PPP3/calcineurin-mediated dephosphorylation of TFEB/TFE3 .
Recent research has identified phospho-EIF2S1 (S51) as an activator of mitophagy in response to mitochondrial damage. Specifically, phosphorylation by EIF2AK1/HRI promotes relocalization of EIF2S1 to the mitochondrial surface, triggering PRKN-independent mitophagy . When investigating this process, researchers should consider the following technical aspects:
Subcellular fractionation quality: Clean separation of mitochondrial fractions is essential for accurate assessment of EIF2S1 relocalization
Temporal resolution: The kinetics of EIF2S1 phosphorylation and mitochondrial association may vary depending on the type and intensity of stress
Dual immunostaining approach: Combine phospho-EIF2S1 (S51) antibodies with mitochondrial markers in immunofluorescence studies
Quantification methods: Develop consistent parameters for assessing mitochondrial association of phospho-EIF2S1
Additionally, researchers should validate their findings using pharmacological modulators of the EIF2AK1/HRI pathway and genetic approaches such as EIF2S1 S51A mutants to establish causality between phosphorylation and mitophagy induction .
For optimal detection of phospho-EIF2S1 (S51) by Western blot, researchers should follow these validated protocols:
Sample preparation:
Harvest cells at optimal time points post-stress induction
Lyse cells in buffer containing phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate)
Include protease inhibitors to prevent degradation
Process samples rapidly and maintain cold temperatures throughout
Gel electrophoresis and transfer:
Use 10-12% SDS-PAGE gels for optimal resolution
Transfer to PVDF membranes (preferred over nitrocellulose for phospho-epitopes)
Verify transfer efficiency with Ponceau S staining
Antibody incubation:
Block membranes in 5% BSA (not milk, which contains phosphatases)
Dilute phospho-EIF2S1 (S51) antibodies according to manufacturer recommendations (typically 1:1000-1:2000)
Incubate overnight at 4°C for optimal signal-to-noise ratio
Use appropriate HRP-conjugated secondary antibodies
Controls and normalization:
Include positive controls (cells treated with thapsigargin or other known inducers)
Use phosphorylation-deficient mutants (S51A) as negative controls when available
Strip and reprobe for total EIF2S1 for normalization
This protocol has been extensively validated with recombinant monoclonal antibodies such as the E90 clone, which has been trusted by researchers since 2006 and cited in over 270 publications .
For immunohistochemistry on paraffin-embedded sections (IHC-P), proper sample preparation is critical for preserving the phospho-epitope:
Tissue fixation and preservation:
Fix tissues in 10% neutral-buffered formalin for 24-48 hours
Process tissues promptly to prevent phospho-epitope degradation
Consider using phosphatase inhibitors in fixation solutions
Antigen retrieval optimization:
Heat-induced epitope retrieval (HIER) in citrate buffer (pH 6.0) is most effective
Maintain consistent retrieval times and temperatures across experimental groups
Optimize retrieval conditions for specific tissue types
Blocking and antibody incubation:
Block with serum-free protein block to reduce background
Use validated antibody dilutions (typically 1:100-1:200 for IHC-P)
Extend primary antibody incubation time (overnight at 4°C) for improved sensitivity
Detection and counterstaining:
Employ polymer-based detection systems for increased sensitivity
Calibrate DAB development time for optimal signal window
Use hematoxylin counterstain optimized for nuclear detail
These protocols have been validated using multi-tissue microarray (TMA) approaches to confirm both specificity and sensitivity across different tissue types . For phospho-EIF2S1 (S51) detection in stressed tissues, researchers should include appropriate control sections from unstressed samples for comparative analysis.
Rigorous controls are crucial for reliable interpretation of phospho-EIF2S1 (S51) data:
Control Type | Purpose | Implementation |
---|---|---|
Positive control | Verify antibody functionality | Include samples from cells treated with thapsigargin (ER stress) or arsenite (oxidative stress) |
Negative control | Confirm specificity | Use phosphatase-treated samples or phospho-deficient mutants (S51A) |
Loading control | Ensure equal protein loading | Probe for housekeeping proteins (β-actin, GAPDH) |
Total protein control | Allow accurate normalization | Measure total EIF2S1 levels in parallel |
Isotype control | Assess non-specific binding | Use matched concentration of non-specific IgG |
Kinase inhibitor control | Validate pathway specificity | Pre-treat with specific inhibitors of EIF2S1 kinases |
Additionally, researchers should implement dephosphorylation controls by treating duplicate samples with lambda phosphatase to confirm that the signal detected is indeed phosphorylation-dependent. For recombinant antibodies like clone E90, validation data from over 270 publications provides robust evidence for specificity across multiple applications .
Accurate quantification of phospho-EIF2S1 (S51) signals requires careful attention to both experimental design and data analysis:
Experimental standardization:
Use consistent cell densities or tissue quantities across conditions
Process all experimental groups simultaneously
Include internal calibration standards when possible
Maintain identical exposure times for image acquisition
Normalization strategies:
Calculate phospho-EIF2S1/total EIF2S1 ratio (preferred method)
Avoid normalizing to housekeeping proteins alone
Consider using total protein normalization methods (e.g., Stain-Free technology)
For IHC-P, quantify both staining intensity and percentage of positive cells
Statistical analysis:
Perform multiple independent experiments (minimum n=3)
Use appropriate statistical tests based on data distribution
Account for multiple comparisons when analyzing complex experimental designs
Present both raw data and normalized results for transparency
Validation approaches:
Correlate Western blot results with other methods (e.g., ELISA, phospho-flow cytometry)
Verify biological relevance by linking phosphorylation levels to downstream effects
By implementing these quantification protocols, researchers can achieve reliable comparative analysis of phospho-EIF2S1 (S51) levels across different experimental conditions, facilitating meaningful interpretation of integrated stress response activation .
Researchers commonly encounter several specificity issues when working with phospho-EIF2S1 (S51) antibodies:
Issue | Potential Cause | Solution |
---|---|---|
Weak or absent signal | Rapid dephosphorylation during sample preparation | Include phosphatase inhibitor cocktails; process samples rapidly at 4°C |
High background | Non-specific binding | Optimize blocking conditions; increase washing steps; use recombinant monoclonal antibodies |
Multiple bands | Cross-reactivity with related phospho-proteins | Verify with phospho-deficient controls; use affinity-purified antibodies like clone E90 |
Inconsistent results | Batch-to-batch variability | Use recombinant format antibodies for unrivaled consistency across experiments |
Recombinant monoclonal antibodies, such as clone E90, offer superior specificity compared to polyclonal alternatives due to their defined epitope recognition. These antibodies undergo affinity purification using Protein A, further enhancing their specificity . When troubleshooting detection issues, researchers should first validate their experimental system using positive controls (e.g., thapsigargin-treated cells) to establish baseline expectations for signal intensity and pattern.
When faced with contradictory phospho-EIF2S1 (S51) data across different experimental models, researchers should implement a systematic resolution approach:
Technical standardization:
Use identical antibody clones and protocols across all models
Standardize stress induction methods and timing
Process and analyze samples simultaneously
Biological context assessment:
Evaluate baseline phosphatase activity in different models
Consider tissue-specific or cell type-specific regulation of EIF2S1 kinases
Assess expression levels of regulatory proteins (e.g., PPP1R15A/GADD34)
Comprehensive pathway analysis:
Measure multiple components of the integrated stress response
Examine kinase activation upstream of EIF2S1
Evaluate functional outputs downstream of phosphorylation
Validation with orthogonal methods:
Complement antibody-based detection with mass spectrometry
Use genetic approaches (e.g., phospho-mimetic mutants)
Correlate phosphorylation data with functional readouts
When documenting contradictory findings, researchers should clearly report experimental conditions, antibody information, and quantification methods to facilitate interpretation of discrepancies .
The temporal dynamics of EIF2S1 phosphorylation provide crucial insights into stress response mechanisms:
Immediate response phase (0-30 minutes post-stress):
Rapid phosphorylation indicates direct kinase activation
The specific kinase involved can be inferred from the stressor type
This phase typically correlates with global translation inhibition
Adaptive response phase (30 minutes - 4 hours):
Sustained phosphorylation reflects ongoing stress
Initiation of feedback mechanisms (e.g., GADD34 induction)
Correlation with ATF4 and other stress-responsive transcription factor levels
Resolution phase (4-24 hours):
Declining phosphorylation indicates adaptation or recovery
Persistent phosphorylation may signal chronic stress or impaired homeostasis
Critical for distinguishing adaptive versus maladaptive responses
To accurately interpret these dynamics, researchers should:
Conduct detailed time-course experiments with multiple timepoints
Correlate phosphorylation patterns with functional outcomes
Consider the potential influence of feedback mechanisms on phosphorylation levels
The phosphorylation of EIF2S1 at S51 represents a dynamic equilibrium between kinase and phosphatase activities, with implications for cell fate decisions during prolonged stress .
Accurate normalization of phospho-EIF2S1 (S51) signals to total EIF2S1 requires careful methodological consideration:
Sequential detection approach:
Probe first for phospho-EIF2S1 (S51)
Document complete image data
Strip membranes thoroughly
Verify stripping efficiency
Reprobe for total EIF2S1
Use identical exposure parameters when possible
Parallel detection method:
Run duplicate gels from the same samples
Transfer under identical conditions
Probe one membrane for phospho-EIF2S1 and one for total EIF2S1
Ensure equal loading with additional controls
Quantification guidelines:
Use linear range of detection for both signals
Apply consistent analysis parameters
Calculate phospho/total ratio for each sample
Present both individual and ratio data
Validation strategies:
Confirm consistent total EIF2S1 levels across conditions
Verify that stress does not alter total EIF2S1 expression
Include quality control samples across multiple blots
This rigorous normalization approach enables accurate assessment of the proportion of phosphorylated EIF2S1, which is the biologically relevant parameter in stress response studies .
Recent research has uncovered a novel role for phospho-EIF2S1 (S51) in the regulation of mitophagy—the selective autophagic degradation of damaged mitochondria. This connection represents an emerging frontier in cellular stress response research :
Mechanistic insights:
Phosphorylation of EIF2S1 by EIF2AK1/HRI promotes its relocalization to the mitochondrial surface
This relocalization triggers PRKN-independent mitophagy
The process provides a direct link between translational control and mitochondrial quality control
Experimental approaches:
Combination of subcellular fractionation with phospho-EIF2S1 (S51) immunoblotting
Co-localization studies using confocal microscopy
Functional assessment of mitophagy using mitochondrial reporters
Genetic manipulation using EIF2S1 S51A mutants
Physiological significance:
Represents a novel pathway for maintaining mitochondrial homeostasis during cellular stress
May contribute to neuronal survival in neurodegenerative disorders
Potential therapeutic target for enhancing mitochondrial quality control
This research direction highlights the multifaceted roles of phospho-EIF2S1 beyond translational regulation and connects the integrated stress response to organelle-specific quality control mechanisms .
Phospho-EIF2S1 (S51) plays a previously underappreciated role in regulating transcription factor localization and activity, particularly for master regulators of autophagy and lysosomal biogenesis :
TFEB and TFE3 regulation:
EIF2S1 phosphorylation is required for nuclear translocation of TFEB and TFE3 during ER stress
This mechanism operates in conjunction with PPP3/calcineurin-mediated dephosphorylation
YWHA/14-3-3 protein dissociation is necessary but not sufficient for nuclear retention
Coordination with UPR pathways:
Different UPR components (ATF6, XBP1s, ATF4) differentially rescue defects in TFEB/TFE3 nuclear translocation
Activated ATF6 and TFEB most efficiently rescue autophagic defects in EIF2S1 phosphorylation-deficient cells
Reveals complex crosstalk between UPR branches and autophagy regulation
Experimental approaches:
Analysis of nuclear/cytoplasmic fractionation in wild-type versus S51A mutant cells
Phosphorylation site mapping of TFEB/TFE3
Assessment of transcription factor binding to target promoters
Evaluation of autophagy gene expression profiles
This emerging research area demonstrates how phospho-EIF2S1 (S51) serves as a critical node connecting stress sensing, translational reprogramming, and transcriptional responses to maintain cellular homeostasis .
Phospho-EIF2S1 (S51) antibodies have become valuable tools for investigating disease mechanisms across multiple pathological conditions:
Disease Category | Research Applications | Key Findings |
---|---|---|
Neurodegenerative disorders | Analysis of brain tissues from Alzheimer's, Parkinson's, and ALS patients | Chronic EIF2S1 phosphorylation contributes to neuronal dysfunction |
Cancer | Examination of tumor samples and cancer cell lines | Altered EIF2S1 phosphorylation impacts tumor cell survival under stress conditions |
Metabolic diseases | Study of tissues from diabetic models | EIF2S1 phosphorylation links ER stress to insulin resistance |
Viral infections | Investigation of host response to viral pathogens | Viruses manipulate EIF2S1 phosphorylation to evade host defenses |
Recombinant monoclonal antibodies with consistent performance characteristics are particularly valuable for translational research, as they enable reliable comparisons between different patient cohorts and experimental models . By correlating phospho-EIF2S1 (S51) levels with disease progression and treatment responses, researchers can identify potential intervention points in the integrated stress response pathway.
The field of phospho-EIF2S1 (S51) research is witnessing the development of innovative assay technologies that enhance detection sensitivity, throughput, and multiplexing capabilities:
Single-cell analysis approaches:
Phospho-flow cytometry for heterogeneity assessment
Single-cell Western blot techniques
Mass cytometry (CyTOF) with phospho-EIF2S1 antibodies
Imaging mass cytometry for spatial resolution
Live-cell monitoring systems:
FRET-based biosensors for real-time EIF2S1 phosphorylation dynamics
Split luciferase complementation assays
Optogenetic control of EIF2S1 kinases
Integration with microfluidic platforms for temporal stress induction
High-throughput screening applications:
Automated immunofluorescence microscopy
In-cell Western techniques
AlphaLISA or HTRF-based detection methods
Multiplex bead-based assays for simultaneous pathway analysis
Spatial biology approaches:
Multiplexed immunofluorescence in tissues
Digital spatial profiling with phospho-specific antibodies
Correlation with single-cell transcriptomics
Whole-organism imaging in model systems
These technological advances facilitate more comprehensive analysis of EIF2S1 phosphorylation in complex biological systems, bridging the gap between molecular mechanisms and physiological outcomes .