EIF2AK2 Antibody, FITC conjugated

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Description

Functional Role of EIF2AK2

EIF2AK2 is a serine/threonine kinase activated by double-stranded RNA (dsRNA), playing pivotal roles in:

  • Antiviral Defense: Phosphorylates eIF2α to inhibit viral protein synthesis .

  • Tumor Regulation: Exhibits dual roles in cancer—suppressing metastasis in breast and lung cancers while promoting progression in hepatocellular carcinoma .

  • Immune Modulation: Activates NF-κB via IκB phosphorylation, enhancing interferon-β production .

Immunofluorescence (IF)

The FITC conjugate enables precise subcellular localization:

  • Detects EIF2AK2 in HeLa cells with high signal-to-noise ratios .

  • Validated in pancreatic cancer studies, where elevated EIF2AK2 correlates with tumor progression and immune infiltration .

Diagnostic and Prognostic Utility

  • Pancreatic Cancer: Overexpression in tumor vs. normal tissues (validated via IHC and RNA sequencing) .

  • Immune Microenvironment: EIF2AK2 levels correlate with CD8+ T-cell infiltration, suggesting immune-modulatory roles .

Comparative Advantages

  • Sensitivity: Detects endogenous EIF2AK2 at low concentrations (WB dilution up to 1:50,000) .

  • Versatility: Compatible with formaldehyde-fixed and frozen sections .

  • Specificity: No cross-reactivity reported with non-target kinases in validation assays .

Limitations and Considerations

  • Photostability: FITC may bleach under prolonged exposure; alternatives like CoraLite® Plus 488 offer enhanced stability .

  • Species Reactivity: Limited to human, mouse, and rat samples; untested in non-mammalian systems .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days of receiving your order. Delivery time may vary depending on the purchasing method or location. Please consult your local distributor for specific delivery time information.
Synonyms
Double stranded RNA activated protein kinase antibody; E2AK2_HUMAN antibody; eIF-2A protein kinase 2 antibody; EIF2AK1 antibody; EIF2AK2 antibody; Eukaryotic translation initiation factor 2 alpha kinase 2 antibody; Eukaryotic translation initiation factor 2-alpha kinase 2 antibody; HGNC:9437 antibody; Interferon induced double stranded RNA activated protein kinase antibody; Interferon inducible elF2 alpha kinase antibody; Interferon inducible RNA dependent protein kinase antibody; Interferon-induced; double-stranded RNA-activated protein kinase antibody; Interferon-inducible RNA-dependent protein kinase antibody; MGC126524 antibody; P1/eIF-2A protein kinase antibody; P1/eIF2A protein kinase antibody; p68 kinase antibody; PKR antibody; PPP1R83 antibody; PRKR antibody; Protein kinase interferon inducible double stranded RNA dependent antibody; Protein kinase RNA activated antibody; Protein kinase RNA-activated antibody; Protein phosphatase 1 regulatory subunit 83 antibody; Serine/threonine protein kinase TIK antibody; Tyrosine protein kinase EIF2AK2 antibody
Target Names
Uniprot No.

Target Background

Function
EIF2AK2 Antibody, FITC conjugated is a IFN-induced dsRNA-dependent serine/threonine-protein kinase that phosphorylates the alpha subunit of eukaryotic translation initiation factor 2 (EIF2S1/eIF-2-alpha). This phosphorylation plays a crucial role in the innate immune response to viral infection. It inhibits viral replication through the integrated stress response (ISR). EIF2S1/eIF-2-alpha phosphorylation in response to viral infection converts EIF2S1/eIF-2-alpha into a global protein synthesis inhibitor, effectively shutting down both cellular and viral protein synthesis. This action simultaneously initiates the preferential translation of ISR-specific mRNAs, such as the transcriptional activator ATF4. EIF2AK2 exerts its antiviral activity against a broad spectrum of DNA and RNA viruses, including hepatitis C virus (HCV), hepatitis B virus (HBV), measles virus (MV), and herpes simplex virus 1 (HHV-1). EIF2AK2 also participates in the regulation of signal transduction, apoptosis, cell proliferation, and differentiation. It phosphorylates other substrates, including p53/TP53, PPP2R5A, DHX9, ILF3, IRS1, and the HHV-1 viral protein US11. Beyond serine/threonine-protein kinase activity, EIF2AK2 also exhibits tyrosine-protein kinase activity and phosphorylates CDK1 at 'Tyr-4' upon DNA damage. This phosphorylation facilitates the ubiquitination and proteosomal degradation of CDK1. EIF2AK2 can regulate various signaling pathways (p38 MAP kinase, NF-kappa-B, and insulin signaling pathways) and transcription factors (JUN, STAT1, STAT3, IRF1, ATF3) involved in the expression of genes encoding proinflammatory cytokines and IFNs, acting as either an adapter protein or through its kinase activity. It activates the NF-kappa-B pathway via interaction with IKBKB and TRAF family of proteins and activates the p38 MAP kinase pathway via interaction with MAP2K6. EIF2AK2 can act as both a positive and negative regulator of the insulin signaling pathway (ISP). It negatively regulates ISP by inducing the inhibitory phosphorylation of insulin receptor substrate 1 (IRS1) at 'Ser-312' and positively regulates ISP via phosphorylation of PPP2R5A, which activates FOXO1, which in turn up-regulates the expression of insulin receptor substrate 2 (IRS2). EIF2AK2 can regulate NLRP3 inflammasome assembly and the activation of NLRP3, NLRP1, AIM2, and NLRC4 inflammasomes. It plays a role in the regulation of the cytoskeleton by binding to gelsolin (GSN), sequestering the protein in an inactive conformation away from actin.
Gene References Into Functions
  1. We demonstrated the activation of PKR pathway in CADASIL PMID: 30073405
  2. These results establish that PKR regulation through stress-induced TRBP phosphorylation is an important mechanism ensuring cellular recovery and preventing apoptosis due to sustained PKR activation. PMID: 29348664
  3. Auto-phosphorylation represses PKR activity. PMID: 28281686
  4. The finding that zebularine upregulates CYP gene expression through DNMT1 and PKR modulation sheds light on the mechanisms controlling hepatocyte function and thus may aid in the development of new in-vitro systems using high-functioning hepatocytes PMID: 28112215
  5. Multiple studies identified PKR as a crucial component of the host defense mechanism against viruses. The dynamic nature of PKR's structure allows it to interact with viral and many cellular molecules that ultimately affect the function of target molecules and downstream components of their pathways. [review] PMID: 29716441
  6. High PKR expression is associated with Colorectal Cancer Cell Invasiveness. PMID: 30275201
  7. The data demonstrate that E3 promotes F1 expression by blocking activation of the double-stranded RNA-activated protein kinase R (PKR). PMID: 29997208
  8. Findings indicate that MSI1 plays a leading role in stress granule formation that grants cancer stem cell properties and chemoresistant stress granules in GBM, in response to stressful conditions via the PKR/eIF2alpha signalling cascade. PMID: 29486283
  9. Here, the authors report that LRP16 selectively interacts and activates double-stranded RNA-dependent kinase (PKR), and also acts as scaffolds to assist the formation of a ternary complex of PKR and IKKbeta, prolonging the polymers of ADP-ribose (PAR)-dependent nuclear factor kappa B (NF-kappaB) transactivation caused by DNA-damaging agents and confers acquired chemoresistance. PMID: 28820388
  10. These data suggest that even a modest increase in expression of this weak PKR antagonist is sufficient to enable RhCMV replication in human cells. PMID: 29263260
  11. Activation of PKR by TNF-alpha mRNA element enables PKR phosphorylation. PKR phosphorylation on Ser51 is necessary and sufficient for efficient splicing of TNF-alpha mRNA. PMID: 28683312
  12. PKR is co-opted by EV-A71 via viral protease 3C-mediated proteolytic activation to facilitate viral replication. PMID: 28702377
  13. Findings suggest a novel role for PKR in lung cancer cells as a mediator of radiation resistance possibly through translocation of the protein product to the nucleus. PMID: 27203671
  14. a novel, positive role for PKR activation and eIF2alpha phosphorylation in human globin mRNA splicing, is reported. PMID: 28374749
  15. Clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9-mediated ablation of double-stranded RNA (dsRNA)-activated protein kinase R (PKR) restored p53 responses while boosting hepatitis C virus replication, showing that p53 inhibition results directly from viral activation of PKR. PMID: 28442604
  16. Gene silencing studies showed that the suppression of immunoproteasome induction is essentially dependent on protein kinase R (PKR). Indeed, the generation of a strictly immunoproteasome-dependent cytotoxic T lymphocyte epitope was impaired in in vitro processing experiments using isolated 20S proteasomes from HCV-infected cells and was restored by the silencing of PKR expression. PMID: 27833096
  17. data provide the first evidence that KSHV ORF57 plays a role in modulating PKR/eIF2alpha/SG axis and enhances virus production during virus lytic infection. PMID: 29084250
  18. The PKR is a key constituent of the metaflammasome and interacts directly with several inflammatory kinases, such as inhibitor kappaB (IkappaB) kinase (IKK) and c-Jun N-terminal kinase (JNK), insulin receptor substrate 1 (IRS1), and component of the translational machinery such as eIF2alpha. PMID: 26831644
  19. infection with New World arenaviruses JUNV and MACV, but not OW LASV, activated PKR, concomitant with elevated phosphorylation of the translation initiation factor alpha subunit of eukaryotic initiation factor 2 PMID: 28794024
  20. The stem-loop of noncoding RNA 886 is structural feature not only critical for inhibiting PKR autophosphorylation, but also the phosphorylation of its cellular substrate, EIF-2alpha. PMID: 28069888
  21. Protein kinase R (PKR) was required for induction of stress granules (SGs) by mumps virus (MuV) infection and regulated type III IFN (IFN-lambda1) mRNA stability. PMID: 27560627
  22. data establish a model in which the Influenza A virus NS1 N-terminal domain engages in a binding interaction to inhibit activation of PKR and ensure efficient viral propagation and virulence PMID: 28250123
  23. It was established in this report that interactions between PACT, ADAR1 and HIV-1-encoded Tat protein diminish the activation of PKR in response to HIV-1 infection. PMID: 28167698
  24. In insulitic islets from living patients with recent-onset T1D, most of the overexpressed ISGs, including GBP1, TLR3, OAS1, EIF2AK2, HLA-E, IFI6, and STAT1, showed higher expression in the islet core compared with the peri-islet area containing the surrounding immune cells PMID: 27422384
  25. NF90 exerts its antiviral activity by antagonizing the inhibitory role of NS1 on PKR phosphorylation PMID: 27423063
  26. Crucially, Chlamydia trachomatis infection resulted in robust IRE1alpha RNAse activity that was dependent on TLR4 signalling and inhibition of IRE1alpha RNAse activity prevented PKR activation. PMID: 27021640
  27. the expression of a Tat construct containing mutations in the basic region (49-57aa), which is responsible for the interaction with PKR, favored neither parasite growth nor IL-10 expression in infected macrophages. PMID: 26608746
  28. This study provides insight into the molecular pathology of Cornelia de Lange syndrome by establishing a relationship between NIPBL and HDAC8 mutations and PKR activation. PMID: 26725122
  29. The Newcastle disease virus-induced translation shutoff at late infection times was attributed to sustaining phosphorylation of eIF2a, which is mediated by continual activation of PKR and degradation of PP1. PMID: 26869028
  30. The sole essential function of cytomegalovirus TRS1 is to antagonize host PKR. PMID: 26716879
  31. results show that ceramide acts at two distinct levels of the insulin signaling pathway (IRS1 and Akt). PKR, which is induced by both inflammation signals and ceramide, could play a major role in the development of insulin resistance in muscle cells. PMID: 26698173
  32. Classical swine fever virus (CSFV) infection increased the phosphorylation of eukaryotic translation initiation factor (eIF)2alpha and its kinase PKR. The activation of PKR during CSFV infection is beneficial to the virus. PMID: 25899421
  33. these data indicate a pivotal role for PKR's protein-binding function on the proliferation of pancreatic beta cells through TRAF2/RIP1/NF-kappaB/c-Myc pathways. PMID: 25715336
  34. The results from this study indicate an important role of RAX/PKR association in regulating PKR activity as well as ethanol neurotoxicity PMID: 25592072
  35. The G3BP1-Caprin1-PKR complex represents a new mode of PKR activation and is important for antiviral activity of G3BP1 and PKR during infection with mengovirus. PMID: 25784705
  36. The data support a model in which activating RNAs induce formation of a back-to-back parallel PKR kinase dimer whereas nonactivating RNAs either fail to induce dimerization or produce an alternative, inactive dimer configuration. PMID: 26488609
  37. Tyrosine phosphorylated EIF2AK2 plays a role in the regulation of insulin induced protein synthesis and in maintaining insulin sensitivity. PMID: 26321373
  38. PKR expression correlates with inferior survival and shorter remission duration for acute myeloid leukemia patients. PMID: 26202421
  39. No significant association was determined between the rs2254958 EIF2AK2 polymorphism and the development of IBD, or clinical outcome. PMID: 25607115
  40. the affinity of PACT-PACT and PACT-PKR interactions is enhanced in dystonia patient lymphoblasts, thereby leading to intensified PKR activation and enhanced cellular death. PMID: 26231208
  41. Protein levels of PRKR were significantly increased in prefrontal cortex in chronic excessive alcohol use. PMID: 25704249
  42. Mechanism by which PK2 inhibits the model eIF2alpha kinase human RNA-dependent protein kinase (PKR) as well as native insect eIF2alpha kinases, is reported. PMID: 26216977
  43. G3BP1, G3BP2 and CAPRIN1 are required for translation of interferon stimulated mRNAs and are targeted by a dengue virus non-coding RNA. PMID: 24992036
  44. This study demonstrates that two interferon stimulated genes, i.e. PKR and ADAR1 have opposite effects on HTLV replication in vivo. PMID: 25389016
  45. PKR directly interacts with HIV-1 Tat and phosphorylates the first exon of Tat exclusively at five Ser/Thr residues, which inhibits Tat-mediated provirus transcription. PMID: 25653431
  46. Authors show that the PXXP domain within G3BP1 is essential for the recruitment of PKR to stress granules, for eIF2alpha phosphorylation driven by PKR, and for nucleating stress granules of normal composition. PMID: 25520508
  47. Further studies revealed that Andes virus nucleocapsid protein inhibited PKR dimerization, a critical step required for PKR autophosphorylation to attain activity. PMID: 25410857
  48. SUMO potentiates the inhibition of protein synthesis induced by PKR in response to dsRNA. PMID: 25074923
  49. Early dsRNA induced transient activation of the cellular dsRNA sensor protein kinase R (PKR), resulting in enhanced production of interferons and cytokines in cells and mice. PMID: 25297997
  50. Cyclophilin inhibitors reduce phosphorylation of PKR and eIF2alpha during HCV infection to allow for translation of ISG products. PMID: 24786893

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Database Links

HGNC: 9437

OMIM: 176871

KEGG: hsa:5610

STRING: 9606.ENSP00000233057

UniGene: Hs.131431

Protein Families
Protein kinase superfamily, Ser/Thr protein kinase family, GCN2 subfamily
Subcellular Location
Cytoplasm. Nucleus. Cytoplasm, perinuclear region.
Tissue Specificity
Highly expressed in thymus, spleen and bone marrow compared to non-hematopoietic tissues such as small intestine, liver, or kidney tissues. Colocalizes with GSK3B and TAU in the Alzheimer disease (AD) brain. Elevated levels seen in breast and colon carcin

Q&A

What is EIF2AK2 and why is it important in research?

EIF2AK2, also known as PKR (Protein Kinase R), is a eukaryotic translation initiation factor 2-alpha kinase that plays a crucial role in cellular stress responses. It functions as a serine/threonine protein kinase and is expressed in over 10 different cell types. EIF2AK2 is activated by various cellular stresses including viral infections, hypoxia, and nutritional shortages . The protein has a length of 551 amino acid residues and a molecular mass of 62.1 kDa in humans . Its significance in research stems from its dual role in both innate immune responses to viral infection and its complex involvement in cancer biology, making it a valuable target for immunological and oncological investigations .

What are the appropriate experimental applications for EIF2AK2 Antibody, FITC conjugated?

EIF2AK2 Antibody, FITC conjugated is primarily designed for fluorescence-based applications due to the fluorescein isothiocyanate (FITC) conjugation. The most suitable applications include:

  • Immunofluorescence (IF) microscopy, particularly for fixed tissue sections (IHC-P) at recommended dilutions of 1:50-200

  • Flow cytometry (FACS) for analyzing EIF2AK2 expression in single-cell suspensions

  • Immunocytochemistry (ICC) for detecting the protein in cultured cells, as validated in HeLa cells

These applications allow researchers to visualize EIF2AK2 localization and expression patterns within cellular contexts without requiring secondary antibody incubation steps.

What controls should be included when using EIF2AK2 Antibody, FITC conjugated?

For rigorous experimental design when using EIF2AK2 Antibody, FITC conjugated, the following controls should be implemented:

Control TypePurposeImplementation
Isotype ControlDetermines background staining due to non-specific antibody bindingUse FITC-conjugated rabbit IgG with no relevant specificity at the same concentration
Negative ControlEvaluates autofluorescence and non-specific bindingOmit primary antibody but maintain all other steps in the protocol
Positive ControlConfirms antibody functionalityUse tissues/cells known to express EIF2AK2 (e.g., thymus, spleen, bone marrow, or HeLa cells)
Absorption ControlVerifies antibody specificityPre-incubate antibody with recombinant EIF2AK2 protein before staining
Knockout/KnockdownValidates specificity through genetic manipulationUse EIF2AK2 knockout or knockdown cells, if available

Implementing these controls will significantly enhance data reliability and facilitate accurate interpretation of experimental results.

How should sample preparation be optimized for EIF2AK2 detection in pancreatic cancer tissues?

Optimizing sample preparation for detecting EIF2AK2 in pancreatic cancer tissues requires special consideration due to the unique characteristics of pancreatic tissue. Based on research findings:

  • Fixation Protocol: Use 10% neutral buffered formalin for 24-48 hours to preserve protein structure while maintaining tissue morphology. Extended fixation should be avoided as it may mask EIF2AK2 epitopes.

  • Antigen Retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes has shown optimal results for EIF2AK2 detection. This step is crucial as research has demonstrated significantly higher EIF2AK2 expression in pancreatic cancer tissues compared to adjacent normal tissues .

  • Section Thickness: 4-5 μm sections provide optimal resolution for distinguishing subcellular localization (nuclear vs. cytoplasmic), which is important since EIF2AK2 can be found in both compartments .

  • Blocking Protocol: Use 5% normal goat serum with 0.1% Triton X-100 for 1 hour to reduce non-specific binding while allowing antibody penetration.

  • Incubation Conditions: For FITC-conjugated antibodies, overnight incubation at 4°C in a humidified chamber protected from light yields the most consistent staining patterns.

When comparing staining intensity between cancerous and normal pancreatic tissue, researchers should implement quantitative image analysis to objectively measure fluorescence intensity differences that correlate with clinical outcomes .

What approaches can resolve contradictory EIF2AK2 expression data between different cancer types?

Research has revealed contradictory roles for EIF2AK2 across different cancer types, functioning as both a tumor suppressor and an oncogene depending on the cellular context . To resolve these contradictions:

  • Multi-modal verification: Combine FITC-conjugated antibody immunofluorescence with orthogonal techniques such as RT-qPCR, western blotting, and RNAscope to verify expression levels through independent methodologies.

  • Cell type-specific analysis: Implement multiplexed immunofluorescence using the FITC-conjugated EIF2AK2 antibody alongside cell-type-specific markers to determine if expression patterns differ among various cellular components within heterogeneous tumor samples.

  • Functional validation: Combine expression data with functional assays that measure EIF2AK2 kinase activity rather than merely protein levels, as post-translational modifications may affect function without altering expression.

  • Contextual analysis: Evaluate EIF2AK2 expression in relation to:

    • Tumor microenvironment composition

    • Hypoxic conditions (measured by HIF-1α co-staining)

    • Inflammatory markers

    • Cellular stress indicators

  • Experimental models: When comparing results between studies, consider differences in:

    • Primary tumors versus established cell lines

    • Patient-derived xenografts versus genetically engineered mouse models

    • 2D versus 3D culture systems

This integrated approach can help reconcile seemingly contradictory findings about EIF2AK2's role in different cancer types and provide insight into its context-dependent functions .

How can researcher minimize photobleaching when using FITC-conjugated EIF2AK2 antibodies in long-term imaging experiments?

FITC is particularly susceptible to photobleaching, which can compromise data collection in extended imaging sessions. Researchers should implement the following strategies:

  • Antifade reagent optimization: Use antifade mounting media containing:

    • p-phenylenediamine at 1 mg/mL

    • ProLong Gold with specific pH adjustment (8.0-8.5)

    • Proprietary commercially available solutions optimized for FITC

  • Imaging parameters optimization:

    • Reduce exposure time and laser power to minimum effective levels

    • Utilize interval scanning rather than continuous illumination

    • Employ confocal aperture adjustment to minimize out-of-focus light exposure

  • Oxygen scavenging systems: Incorporate enzymatic oxygen scavenging components in live-cell imaging buffers:

    • Glucose oxidase (0.5 mg/mL) with catalase (40 μg/mL)

    • Glucose (10 mM) as substrate

  • Alternative workflows:

    • Capture regions of interest first at lower magnification

    • Reserve high-resolution imaging for pre-selected fields

    • Consider photoconversion to more stable fluorophores when compatible

  • Computational approaches:

    • Implement deconvolution algorithms

    • Apply photobleaching correction in post-processing

    • Utilize machine learning-based image restoration

These strategies significantly extend the viable imaging window for detecting EIF2AK2 in both fixed and live-cell applications while maintaining signal integrity.

How does EIF2AK2 expression correlate with immune cell infiltration in pancreatic cancer microenvironment?

Research data indicates complex relationships between EIF2AK2 expression and immune cell infiltration in pancreatic cancer:

Functional enrichment analysis of EIF2AK2-associated differentially expressed genes (DEGs) in pancreatic cancer reveals significant correlations with immune cell populations . The table below summarizes key findings:

Immune Cell TypeCorrelation with EIF2AK2 ExpressionFunctional Implication
CD8+ T cellsPositive correlationEnhanced cytotoxic response
Natural Killer cellsModerate positive correlationImproved innate immune surveillance
M1 MacrophagesStrong positive correlationPro-inflammatory tumor microenvironment
Regulatory T cellsVariable correlationContext-dependent immunosuppression
NeutrophilsPositive correlationPotential pro-tumorigenic inflammation

To investigate these correlations using FITC-conjugated EIF2AK2 antibodies, researchers should:

  • Perform multiplexed immunofluorescence with immune cell markers and EIF2AK2

  • Quantify spatial relationships between EIF2AK2-expressing tumor cells and immune infiltrates

  • Correlate findings with clinical outcomes and treatment responses

  • Consider three-dimensional analysis to assess the architectural relationship between EIF2AK2-positive cells and immune cell niches

These approaches can provide meaningful insights into how EIF2AK2 may modulate the pancreatic tumor immune microenvironment, potentially informing immunotherapeutic strategies .

What methodological approaches can distinguish between active and inactive forms of EIF2AK2 when using FITC-conjugated antibodies?

Distinguishing between active and inactive EIF2AK2 is crucial for understanding its functional state in cancer research applications. The following methodological approaches can be utilized:

  • Phospho-specific antibody complementation:

    • Use phospho-specific antibodies (e.g., against Thr446) in multi-color immunofluorescence alongside the FITC-conjugated total EIF2AK2 antibody

    • Calculate activation ratio by dividing phospho-EIF2AK2 signal by total EIF2AK2 signal

  • Proximity ligation assay (PLA) adaptation:

    • Combine FITC-conjugated EIF2AK2 antibody with antibodies against known EIF2AK2 substrates like eIF2α

    • PLA signal indicates active kinase engaged with its substrate

  • Conformation-sensitive FRET reporters:

    • Design FRET-based reporters that change conformation upon EIF2AK2 activation

    • Co-localize FRET signal with FITC-conjugated EIF2AK2 antibody staining

  • Activity-based protein profiling:

    • Use biotinylated ATP mimetics that bind only to active kinase conformations

    • Detect co-localization with FITC-conjugated EIF2AK2 antibody

  • Downstream substrate phosphorylation:

    • Correlate EIF2AK2 expression with phosphorylation of known downstream targets (e.g., eIF2α)

    • Quantify correlation coefficients to infer activation state

These approaches allow researchers to move beyond simple detection of EIF2AK2 protein to gain functional insights into its activation status within the cellular context.

What are the most effective approaches to resolve non-specific staining issues with FITC-conjugated EIF2AK2 antibodies?

Non-specific staining can severely compromise data interpretation when using FITC-conjugated EIF2AK2 antibodies. The following systematic troubleshooting approaches address common issues:

  • Optimal antibody dilution determination:

    • Perform titration experiments from 1:25 to 1:400

    • Evaluate signal-to-noise ratio quantitatively at each dilution

    • The recommended starting dilution range of 1:50-200 should be optimized for each specific tissue type

  • Enhanced blocking protocols:

    • Extended blocking (2 hours) with combined blockers:

      • 10% normal serum from the same species as secondary antibody

      • 1% BSA

      • 0.3% Triton X-100

      • 0.05% Tween-20

    • Consider dual blocking with both normal serum and commercial blocking reagents

  • Autofluorescence management:

    • Pre-treatment with 0.1% Sudan Black B in 70% ethanol for 20 minutes

    • Sodium borohydride treatment (0.1% for 5 minutes) for formalin-fixed tissues

    • UV irradiation before antibody application

    • Spectral unmixing during image acquisition

  • Absorption controls optimization:

    • Pre-incubate antibody with recombinant EIF2AK2 protein at 5-10 μg/mL

    • Implement gradient absorption to determine specificity threshold

  • Sample preparation refinement:

    • Optimize fixative concentration and duration

    • Explore cryo-fixation alternatives when applicable

    • Adjust permeabilization protocols based on subcellular localization

Systematic implementation of these steps can significantly reduce background and improve specific detection of EIF2AK2 in research applications.

How can researchers quantitatively compare EIF2AK2 expression across different experimental conditions using FITC-conjugated antibodies?

Accurate quantitative comparison of EIF2AK2 expression requires methodological standardization and appropriate controls. Here is a comprehensive approach:

  • Standardization of fluorescence measurements:

    • Use calibration beads with known fluorescence intensity before each imaging session

    • Include internal reference standards in each experiment

    • Maintain identical exposure settings across compared samples

    • Implement flat-field correction to account for illumination heterogeneity

  • Quantification methodology:

    • Mean fluorescence intensity (MFI) measurement in defined regions of interest

    • Integrated density calculation (area × mean intensity)

    • Thresholding-based binary quantification

    • Cell-by-cell analysis when possible

  • Normalization strategies:

    • Normalize to housekeeping protein expression

    • Use ratio to isotype control signal

    • Employ reference tissues with stable EIF2AK2 expression

    • Calculate fold-change relative to standardized control samples

  • Statistical analysis framework:

    • Determine appropriate sample sizes using power analysis

    • Apply appropriate statistical tests based on data distribution

    • Consider nested factors in experimental design

    • Address multiple testing correction when necessary

  • Methodological reporting standards:

    • Document all imaging parameters:

      • Exposure time

      • Gain settings

      • Laser power

      • Filter specifications

      • Objective specifications

    • Report software and algorithms used for quantification

    • Provide all normalization details

This comprehensive approach enables reliable quantitative comparisons of EIF2AK2 expression across different experimental conditions, ensuring reproducibility and validity of research findings.

How can EIF2AK2 antibody-based approaches be integrated with single-cell technologies to understand heterogeneity in cancer research?

Integrating FITC-conjugated EIF2AK2 antibodies with emerging single-cell technologies offers promising avenues for understanding tumor heterogeneity:

  • Single-cell sorting and analysis pipeline:

    • Live-cell FACS sorting based on EIF2AK2-FITC signal intensity

    • Downstream single-cell RNA sequencing of sorted populations

    • Correlation of protein expression with transcriptomic profiles

  • CITE-seq adaptation:

    • Convert FITC-conjugated antibodies to oligonucleotide-tagged formats

    • Perform simultaneous protein (including EIF2AK2) and RNA detection

    • Cluster cells based on multi-omic profiles

  • Spatial transcriptomics integration:

    • Combine immunofluorescence using FITC-conjugated EIF2AK2 antibodies with spatial transcriptomics platforms

    • Map EIF2AK2 protein expression to spatially resolved transcriptomes

    • Analyze spatial relationships between EIF2AK2-high cells and their microenvironment

  • Mass cytometry complementation:

    • Develop metal-tagged EIF2AK2 antibodies for CyTOF analysis

    • Create comprehensive immune-profiling panels including EIF2AK2

    • Identify rare subpopulations with unique EIF2AK2 expression patterns

  • Microfluidic-based approaches:

    • Capture single cells in droplets after EIF2AK2-FITC staining

    • Perform droplet-based functional assays

    • Correlate functional outcomes with expression levels

These integrated approaches can reveal how EIF2AK2 expression varies across tumor subpopulations and how this heterogeneity correlates with functional phenotypes and treatment responses.

What experimental designs can elucidate the differential roles of EIF2AK2 in tumor cells versus stromal components when using fluorescence-based detection?

Understanding EIF2AK2's distinct functions in different compartments of the tumor microenvironment requires sophisticated experimental designs:

  • Laser capture microdissection workflow:

    • Stain tissue sections with FITC-conjugated EIF2AK2 antibody

    • Identify and isolate tumor nests versus stromal regions

    • Perform downstream molecular analysis (RNA-seq, proteomics) on separated components

    • Compare EIF2AK2-associated pathways between compartments

  • Co-culture experimental systems:

    • Establish co-cultures of tumor cells with stromal components

    • Differentially label cell populations

    • Analyze EIF2AK2 expression and activation after various perturbations

    • Assess intercellular signaling effects on EIF2AK2 activity

  • Conditional knockout approaches in complex models:

    • Generate cell-type-specific EIF2AK2 knockout models

    • Compare phenotypes between epithelial-specific versus stromal-specific deletion

    • Use FITC-conjugated antibody to confirm knockout efficiency

  • Extracellular vesicle (EV) transfer studies:

    • Isolate EVs from EIF2AK2-high versus EIF2AK2-low cells

    • Track transfer of EVs between tumor and stromal components

    • Assess EIF2AK2-dependent content and functional consequences

  • Humanized mouse models:

    • Reconstitute immunodeficient mice with human immune components

    • Implant patient-derived tumor organoids

    • Use species-specific EIF2AK2 antibodies to distinguish host versus tumor expression

    • Correlate with treatment responses

These experimental designs can provide critical insights into the compartment-specific roles of EIF2AK2 in the complex tumor microenvironment, particularly relevant given its potential role as a diagnostic and prognostic biomarker in pancreatic cancer .

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