ZFP36 Antibody, FITC conjugated

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Description

Research Applications and Findings

ZFP36 antibodies are pivotal for studying ZFP36’s role in immune regulation and inflammation. While FITC-conjugated variants are less frequently reported than unconjugated forms, their utility in fluorescence-based assays is well-established.

Role of ZFP36 in Immune Regulation

ZFP36 binds AU-rich elements (AREs) in mRNA 3’ untranslated regions (UTRs), promoting transcript degradation. This activity suppresses proinflammatory cytokines (e.g., TNF-α, IFN-γ) and regulates T-cell activation kinetics .

Example Applications of ZFP36 Antibodies:

  • Flow Cytometry: Quantifying ZFP36 expression in T-cells or macrophages during immune responses .

  • Immunofluorescence: Localizing ZFP36 in cellular compartments (e.g., cytoplasm vs. nucleus) during activation or quiescence .

FITC-Conjugated Antibodies in Practice

FITC-conjugated ZFP36 antibodies enable multiplex assays (e.g., co-staining with other fluorescent markers). For instance:

  • T-cell activation studies: Co-labeling ZFP36 with CD4/CD8 markers to assess its expression during viral infection or autoimmunity .

  • Inflammation models: Tracking ZFP36 levels in lung epithelial cells during ischemia-reperfusion injury .

ZFP36 in Viral Immunity

  • HITS-CLIP Studies: ZFP36 binds mRNAs encoding TNF-α, IFN-γ, and CD69 in T-cells, suppressing their translation .

  • Zfp36 KO Models: ZFP36-deficient mice exhibit accelerated T-cell expansion and enhanced antiviral responses but develop spontaneous autoimmunity .

ZFP36 in Inflammation and Fibrosis

  • Lung Injury: ZFP36 knockdown exacerbates intestinal ischemia-reperfusion injury by upregulating CREBBP and promoting apoptosis/inflammation .

  • Fibrosis: ZFP36 suppresses epithelial-mesenchymal transition (EMT) by targeting fibrosis-related mRNAs (e.g., TGF-β1, COL1A1) .

Technical Considerations

  • Cross-reactivity: Pan-ZFP36 antibodies may detect ZFP36L1/L2 due to sequence homology . Use paralog-specific antibodies when required.

  • Optimization: FITC-conjugated antibodies require careful titration to avoid background fluorescence. Validate with isotype controls .

Future Directions

FITC-conjugated ZFP36 antibodies could enable:

  • Live-Cell Imaging: Tracking ZFP36 dynamics in real-time during immune cell activation.

  • Therapeutic Monitoring: Assessing ZFP36 levels in response to drugs targeting RNA-binding proteins .

References

  1. ZFP36 in T-cell regulation:

  2. ZFP36 antibodies:

  3. ZFP36 in lung injury:

  4. ZFP36L2 FITC:

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 your orders within 1-3 business days of receipt. Delivery times may vary depending on the shipping method and location. For specific delivery details, please contact your local distributor.
Synonyms
G0/G1 switch regulatory protein 24 antibody; G0S24 antibody; GOS24 antibody; Growth factor-inducible nuclear protein NUP475 antibody; NUP475 antibody; Protein TIS11A antibody; RNF162A antibody; TIS 11 antibody; TIS11 antibody; TIS11A antibody; Tristetraprolin antibody; Tristetraproline antibody; TTP antibody; TTP_HUMAN antibody; Zfp-36 antibody; ZFP36 antibody; Zinc finger protein 36 antibody; Zinc finger protein 36 homolog antibody; Zinc finger protein 36, C3H type, homolog (mouse) antibody; Zinc finger protein, C3H type, 36 homolog antibody
Target Names
ZFP36
Uniprot No.

Target Background

Function
Tristetraprolin (TTP), a zinc-finger RNA-binding protein, plays a critical role in the regulation of mRNA stability and translation. It destabilizes several cytoplasmic AU-rich element (ARE)-containing mRNA transcripts by promoting their poly(A) tail removal or deadenylation, thereby attenuating protein synthesis. TTP acts as an adapter protein connecting 3'-untranslated region (UTR) ARE mRNA-binding events to the mRNA decay machinery. It recruits the deadenylase CNOT7 (and potentially the CCR4-NOT complex) via association with CNOT1, promoting ARE-mediated mRNA deadenylation. Furthermore, TTP recruits components of the cytoplasmic RNA decay machinery to bound ARE-containing mRNAs. TTP exhibits self-regulation by destabilizing its own mRNA. It binds to the 3'-UTR ARE of numerous mRNAs, including its own. TTP plays a significant role in anti-inflammatory responses, suppressing tumor necrosis factor (TNF)-alpha production by stimulating ARE-mediated TNF-alpha mRNA decay and other inflammatory ARE-containing mRNAs in interferon (IFN)- and/or lipopolysaccharide (LPS)-induced macrophages. TTP also regulates dendritic cell maturation at the post-transcriptional level, acting as part of a negative feedback loop to limit the inflammatory response. TTP promotes ARE-mediated mRNA decay of hypoxia-inducible factor HIF1A mRNA during the response of endothelial cells to hypoxia. It positively regulates early adipogenesis of preadipocytes by promoting ARE-mediated mRNA decay of immediate early genes (IEGs). Conversely, TTP negatively regulates hematopoietic/erythroid cell differentiation by promoting ARE-mediated mRNA decay of the transcription factor STAT5B mRNA. TTP maintains skeletal muscle satellite cell quiescence by promoting ARE-mediated mRNA decay of the myogenic determination factor MYOD1 mRNA. TTP also associates with and regulates the expression of non-ARE-containing target mRNAs at the post-transcriptional level, such as MHC class I mRNAs. In collaboration with argonaute RISC catalytic components, TTP participates in the ARE-mediated mRNA decay mechanism, facilitating microRNA (miRNA) targeting of ARE-containing mRNAs. TTP may also contribute to the regulation of cytoplasmic mRNA decapping, enhancing decapping of ARE-containing RNAs in vitro. TTP is involved in the delivery of target ARE-mRNAs to processing bodies (PBs). Beyond its cytosolic mRNA-decay function, TTP affects nuclear pre-mRNA processing. It negatively regulates nuclear poly(A)-binding protein PABPN1-stimulated polyadenylation activity on ARE-containing pre-mRNA during LPS-stimulated macrophages. TTP is also involved in the regulation of stress granule (SG) and P-body (PB) formation and fusion. TTP plays a role in the regulation of keratinocyte proliferation, differentiation, and apoptosis. As a tumor suppressor, TTP inhibits cell proliferation in breast cancer cells. In the context of microbial infection, TTP negatively regulates HTLV-1 TAX-dependent transactivation of the viral long terminal repeat (LTR) promoter.
Gene References Into Functions
  1. Overexpression of miRNA-29c in podocytes resulted in an increase in inflammatory cytokines. Conversely, inhibition of miRNA-29c using its inhibitor reduced the inflammatory cytokines in podocytes. This suggests that miRNA-29c promotes the progression of diabetic nephropathy (DN) by targeting TTP, providing a potential target for therapeutic intervention of DN. PMID: 28539664
  2. Data indicate that the angiopoietin-like protein 4 (ANGPTL4)-mediated upregulation of tristetraprolin expression regulates the stability of chemokines in human colon epithelial cells. PMID: 28287161
  3. PD-L1, a critical TTP-regulated factor, contributes to inhibiting antitumor immunity. PMID: 29936792
  4. This review examines the role of TTP in human cancers and immunity. PMID: 29124478
  5. Findings reveal tristetraprolin as a regulator of COX-2 expression in influenza A viruses (IAV) infection. Tristetraprolin, known to bind COX-2 mRNA and promote its rapid degradation, is induced during IAV replication and viral RNA accumulation, resulting in reduced COX-2 levels. PMID: 27265729
  6. These data demonstrate that TTP acts as a regulator of mitochondrial dynamics through enhancing degradation of alpha-Syn mRNA in cancer cells. This finding enhances our understanding of the molecular basis of mitochondrial dynamics. PMID: 28410208
  7. This study suggests that TTP is an important prognostic indicator for prostate cancer. Augmenting TTP function could effectively disable the metabolism and proliferation of aggressive prostate tumors. PMID: 27825143
  8. RAS signaling can upregulate tumor cell PD-L1 expression through a mechanism involving increases in PD-L1 mRNA stability via modulation of the AU-rich element-binding protein tristetraprolin. PMID: 29246442
  9. As TTP also represses IL-1beta expression, it acts as a dual inhibitor of the IL-1beta system, regulating expression of the cytokine and the upstream controller NLRP3. PMID: 28302726
  10. Data show that the synthetic liver X receptors (LXRs) agonist T0901317 promoted cytokines IL-1beta, IL-6, and TNFalpha mRNA degradation, destabilized TNFalpha mRNA through its 3'-untranslated region, and increased the expression of tristetraprolin (TTP). PMID: 28119310
  11. TTP was demonstrated to destabilize the VEGF mRNA in ARPE-19 cells under hypoxic conditions. Furthermore, conditioned media from TTP-overexpressing ARPE-19 cells suppressed tube formation in HUVECs. PMID: 27840917
  12. This study shows that TTP is down-regulated in glioma tissue samples and cell lines, and is associated with diminished survival in glioma patients. PMID: 27424080
  13. TTP inhibited the proliferation, migration, and invasion of gastric cancer cell lines through regulation of IL-33. PMID: 27074834
  14. Results suggest that ZFP36 proteins might control reepithelialization and angiogenesis in the skin in a multimodal manner. PMID: 27182009
  15. Our data offer convincing evidence for the first time that the aberrant expressions of ZFP36 and SOCS3 may be involved in the progression and patients' prognosis of prostate cancer. PMID: 26563146
  16. Low TTP expression is associated with epithelial-mesenchymal transition in cancer. PMID: 26840564
  17. PP2A activators boost the anti-inflammatory function of TTP and have implications for future pharmacotherapeutic strategies to combat inflammation in respiratory disease. PMID: 26820662
  18. The mRNA destabilizing activity of TTP was increased when the partially disordered RNA binding domain (RBD) of TTP was replaced with the fully structured RBD of TIS11d, indicating that differences in the folded state of the RBD affect the activity of the proteins in the cell. PMID: 26551835
  19. Tristetraprolin induces cell cycle arrest in breast tumor cells by targeting AP-1/c-Jun and NF-kappaB/RelA pathway. PMID: 26497679
  20. The TTP-dependent regulatory pathway described herein likely contributes to the role of IL-22 in inflammation and cancer and may evolve as a novel target for pharmacological IL-22 modulation. PMID: 26486958
  21. Results suggest that miR-29a acts as an oncogene by down regulating TTP and suggest the potential of miR-29a and TTP as biomarkers. PMID: 26356262
  22. TTP might regulate interleukin (IL)-6 and IL-18 expression in diabetes. Diabetes with clinical proteinuria is accompanied by decreased urinary and serum levels of TTP mRNA and protein, and increased levels of IL-6 and IL-18 mRNA and protein. PMID: 26517838
  23. Involvement of LARP4 as a target of TNF-alpha-TTP regulation provides a clue as to how its functional activity may be used in a physiologic pathway. PMID: 26644407
  24. Modulation of TAFI levels by pro-inflammatory mediators or lipopolysaccharide involves binding of tristetraprolin to the CPB2 3'-UTR, which mediates CPB2 mRNA destabilisation. PMID: 26062599
  25. DUSP1 overexpression and inhibition of MAPKs prevented IL1B-induced expression of ZFP36, this was associated with increased TNF mRNA expression at 6 h, an effect that was predominantly due to elevated transcription. PMID: 26546680
  26. ZFP36 preferentially binds to 3' UTRs of mRNAs encoding regulators of gene expression. PMID: 24401661
  27. The biphasic nature of TNF-alpha-induced IL-6 mRNA expression was regulated temporally by the RNA-destabilizing molecule, TTP. PMID: 25724669
  28. Logistic regression analyses demonstrated that TNF-alpha and the three ZFP36 gene polymorphisms were not independently associated with obstructive sleep apnea. PMID: 26125882
  29. Low levels of TTP are associated with cisplatin-resistance in head and neck cancer. PMID: 25604244
  30. ZFP36 controls RIP1 levels in glioma neural stem cell lines. PMID: 25939870
  31. This review summarizes current progress regarding the specific characteristics of sequences and structures in the 3' untranslated regions of mRNAs that are recognized by tristetraprolin, Roquins, and Regnase-1. PMID: 25955820
  32. Tristetraprolin (TTP) recruits eukaryotic initiation factor 4E2 (eIF4E2) to repress target mRNA translation. PMID: 26370510
  33. TGF-beta decreases the stability of IL-18-induced IFN-gamma mRNA through the expression of TGF-beta-induced tristetraprolin in KG-1 cells. PMID: 25832634
  34. The abnormalities were screened by FISH in 44 epithelioid hemangioma (EH) from different locations with seven additional EH revealing FOSB gene rearrangements, all except one being fused to ZFP36. PMID: 25043949
  35. TTP mediates the cleavage of the 3' UTRs of stress response mRNAs by recruiting the HSV-1 VHS RNase to the AU-rich elements. PMID: 25762736
  36. Tristetraprolin is involved in the glucocorticoid-mediated interleukin 8 repression. PMID: 25111853
  37. CNOT7/hCAF1 is involved in ICAM-1 and IL-8 regulation by TTP in HPMEC. PMID: 25038453
  38. Inactivation of tristetraprolin in chronic hypoxia provokes the expression of cathepsin B. PMID: 25452305
  39. An association with Graves ophthalmopathy was shown with two SNPs in ZFP36. PMID: 24780075
  40. hnRNP F is a co-factor in a subset of tristetraprolin/BRF1/BRF2-mediated mRNA decay. PMID: 24978456
  41. Data indicate tristetraprolin (TTP) promotes apoptosis of HeLa cervical cancer cells in the presence of tumor necrosis factor. PMID: 25056949
  42. These results demonstrate that E2F1 mRNA is a physiological target of TTP and suggest that TTP controls proliferation as well as migration and invasion through the regulation of E2F1 mRNA stability. PMID: 24150491
  43. TTP acts as a bona fide ERalpha corepressor and suggests that this protein may be a contributing factor in the development of E2-dependent tumors in breast cancer. PMID: 24737323
  44. Although the majority of conserved residues within the TZF domain of TTP are required for productive binding, not all residues at sequence-equivalent positions in the two zinc fingers of the TZF domain of TTP are functionally equivalent. PMID: 24253039
  45. Reduced tristetraprolin function through phosphorylation is associated with malignant glioma. PMID: 23525947
  46. ZFP36 gene is not associated with HDL-C in Uygur people from Xinjiang. PMID: 23744329
  47. Loss of TTP promotes invasion in head and neck cancer via transcript stabilization and secretion of MMP9, MMP2, and IL-6. PMID: 23349315
  48. These results suggested that during LPS stimulation, NF-kappaB signaling was activated to regulate the transcription of TTP mRNA. PMID: 23212617
  49. Authors identify an evolutionarily conserved C-terminal motif in human TTP that directly binds a central domain of CNOT1, a core subunit of the CCR4-NOT complex. PMID: 23644599
  50. Tristetraprolin provides an important link between p53 activation induced by DNA damage and let-7 biogenesis. PMID: 23595149

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Database Links

HGNC: 12862

OMIM: 190700

KEGG: hsa:7538

STRING: 9606.ENSP00000248673

UniGene: Hs.534052

Subcellular Location
Nucleus. Cytoplasm. Cytoplasmic granule. Cytoplasm, P-body.; Nucleus. Cytoplasm.
Tissue Specificity
Expressed in both basal and suprabasal epidermal layers. Expressed in epidermal keratinocytes. Expressed strongly in mature dendritic cells. Expressed in immature dendritic cells (at protein level).

Q&A

What is the primary function of ZFP36 protein in cellular processes?

ZFP36 (zinc finger protein 36) functions as an RNA binding protein that promotes the degradation of transcripts containing AU-rich elements. This protein plays a critical role in regulating mRNA stability, particularly for transcripts involved in inflammatory responses. In T cells, the ZFP36 family (including ZFP36, ZFP36L1, and ZFP36L2) has a redundant and essential function in maintaining T cell quiescence during homeostasis . Beyond immune regulation, ZFP36 also participates in vascular smooth muscle contraction and blood pressure maintenance through modulation of G protein-coupled receptor signaling . The protein primarily localizes in the cytoplasm and nucleus, with distribution patterns that may vary depending on cellular activation state .

What are the recommended applications for ZFP36 Antibody, FITC conjugated?

ZFP36 Antibody, FITC conjugated is specifically validated for flow cytometry and immunofluorescence applications. For flow cytometry, the recommended dilution is 1:100, allowing for direct detection of ZFP36 protein expression across various cell populations without requiring secondary antibody incubation . For immunofluorescence, the same 1:100 dilution is recommended for optimal signal-to-noise ratio. While this FITC-conjugated antibody is primarily designed for these fluorescence-based applications, related unconjugated ZFP36 antibodies may be used for Western blot (WB) and ELISA with appropriate dilutions (typically 1:500-1:1000 for WB) .

How should ZFP36 Antibody, FITC conjugated be stored to maintain optimal activity?

For optimal preservation of antibody activity, store ZFP36 Antibody, FITC conjugated at -20°C or -80°C immediately upon receipt. The antibody is provided in a stabilizing buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . It is crucial to avoid repeated freeze-thaw cycles as these can lead to protein denaturation and loss of binding activity. For short-term use, aliquoting the antibody into smaller volumes is strongly recommended to minimize freeze-thaw events. When handling the antibody, maintain cold chain protocols and protect from prolonged exposure to light, as FITC conjugates are photosensitive and can experience fluorophore degradation under extended light exposure .

What controls should be included when using ZFP36 Antibody, FITC conjugated in flow cytometry experiments?

A robust flow cytometry experiment with ZFP36 Antibody, FITC conjugated requires several critical controls:

  • Isotype Control: Include a FITC-conjugated rabbit IgG isotype control at the same concentration as the ZFP36 antibody to assess non-specific binding.

  • Unstained Control: Analyze cells without any antibody to establish autofluorescence baseline.

  • Single-Stain Controls: If performing multicolor flow, include single-stained samples for compensation setup.

  • Positive Control Samples: Include cells known to express ZFP36, such as activated T cells or HeLa cells, which serve as positive expression controls .

  • Negative Control Samples: Where possible, include ZFP36-knockout or ZFP36-silenced cells to confirm antibody specificity.

For quantitative studies, consider including a standardized sample across experimental runs to normalize between batches. When analyzing results, gating strategies should account for cellular autofluorescence and potential non-specific binding, with statistical analyses applied to evaluate significant differences in expression levels between experimental groups.

How can I optimize immunofluorescence staining protocols for detecting ZFP36 in different tissue types?

Optimizing immunofluorescence protocols for ZFP36 detection requires tissue-specific considerations:

For Cultured Cells:

  • Fixation: 4% paraformaldehyde for 15 minutes at room temperature preserves both cytoplasmic and nuclear ZFP36 localization.

  • Permeabilization: 0.1-0.3% Triton X-100 for 5-10 minutes enables antibody access to intracellular ZFP36.

  • Blocking: 5% normal serum (species distinct from antibody host) with 1% BSA for 1 hour reduces background staining.

  • Primary Incubation: ZFP36 Antibody, FITC conjugated at 1:100 dilution overnight at 4°C.

  • Counterstaining: DAPI for nuclear visualization can help determine nuclear versus cytoplasmic localization of ZFP36.

For Tissue Sections:

  • Antigen Retrieval: Critical step for formalin-fixed tissues; citrate buffer (pH 6.0) heat-mediated retrieval often works well.

  • Thicker sections (8-10μm) may require longer permeabilization times.

  • Autofluorescence reduction: Treat with 0.1% sodium borohydride or commercial autofluorescence reducers before blocking, particularly important for tissues like brain or liver.

For both applications, optimization should include a titration series (1:50, 1:100, 1:200) to determine optimal antibody concentration for specific tissue types . ZFP36 shows different expression patterns in different tissues, with particularly strong expression in immune cells and tissues with active inflammation .

What are the recommended protocols for fixation when examining ZFP36 subcellular localization?

When investigating ZFP36 subcellular localization, fixation protocols significantly impact experimental outcomes:

Recommended Fixation Methods:

FixativeConcentrationDurationBest ForNotes
Paraformaldehyde4%10-15 minGeneral localizationPreserves most epitopes
Methanol100%10 min at -20°CNuclear localizationBetter nuclear penetration
PFA/Methanol4% PFA followed by 100% methanol10 min eachDual localizationCombines benefits of both

ZFP36 exhibits dynamic subcellular localization, shuttling between the nucleus and cytoplasm depending on cellular activation state . For stress granule co-localization studies, paraformaldehyde fixation followed by permeabilization with 0.1% Triton X-100 is optimal. When examining nuclear export, shorter fixation times (5-8 minutes) may better preserve transient localization patterns. For co-localization studies with RNA granules, consider using methods that preserve RNA integrity, such as incorporating RNase inhibitors in buffers .

How can ZFP36 Antibody, FITC conjugated be used to investigate the role of ZFP36 in T cell-mediated autoimmunity?

Investigating ZFP36's role in T cell-mediated autoimmunity using FITC-conjugated antibodies enables several sophisticated experimental approaches:

  • Multi-parameter Flow Cytometry: Combine ZFP36 Antibody, FITC conjugated with antibodies against T cell activation markers (CD25, CD69) and cytokine production (IFN-γ, TNF) to correlate ZFP36 expression with functional T cell phenotypes in autoimmune models. This approach allows identification of specific T cell subsets where ZFP36 regulation may be dysregulated.

  • Ex Vivo Analysis of Autoimmune Models: In experimental autoimmune encephalomyelitis (EAE) models, ZFP36 family members show context-specific functions. While triple deletion of all ZFP36 family members causes lethal inflammation, deletion of ZFP36L1 and ZFP36L2 specifically renders mice resistant to EAE due to failed antigen-specific CD4+ T cell priming . Flow cytometric analysis using ZFP36 Antibody, FITC conjugated can track changes in ZFP36 expression during disease progression.

  • Intravital Imaging: For advanced applications, ZFP36 Antibody, FITC conjugated can be used for intravital microscopy to visualize ZFP36 expression in T cells within inflamed tissues in real-time, providing spatial and temporal information about ZFP36 regulation during autoimmune responses.

To execute these experiments effectively, researchers should incorporate appropriate controls and consider the redundant yet distinct roles of ZFP36 family members in T cell homeostasis versus autoimmunity contexts .

What methodological approaches can address discrepancies between expected and observed molecular weight of ZFP36 in Western blotting?

While ZFP36's calculated molecular weight is 34kDa, it typically appears at 40-48kDa in Western blots, creating potential confusion in data interpretation . This discrepancy can be systematically addressed through multiple experimental approaches:

  • Post-translational Modification Analysis:

    • Treat cell lysates with phosphatase before Western blotting to determine if phosphorylation contributes to the higher observed weight

    • Use specific inhibitors of kinases known to target ZFP36 (e.g., p38 MAPK, MK2) in cultured cells before protein extraction

    • Apply specific proteasome inhibitors to determine if ubiquitination contributes to the size shift

  • Expression System Verification:

    • Compare recombinant ZFP36 (without post-translational modifications) to endogenous protein

    • Express tagged versions (His, FLAG) of ZFP36 with known molecular weights as size references

  • Antibody Validation:

    • Perform siRNA or CRISPR knockout controls to confirm band specificity

    • Use multiple antibodies targeting different epitopes of ZFP36 to confirm consistency

  • Technical Considerations:

    • Run gradient gels (4-20%) to improve resolution in the 30-50kDa range

    • Include molecular weight markers specifically designed for the 30-50kDa range

    • Optimize SDS-PAGE conditions (reducing agents, denaturation temperature)

These approaches not only address the technical aspects of the molecular weight discrepancy but can also yield valuable biological insights into ZFP36 regulation through post-translational modifications .

How can ZFP36 Antibody, FITC conjugated be integrated into studies of vascular smooth muscle cell regulation of blood pressure?

Recent research has revealed that ZFP36 plays a critical role in vascular smooth muscle contraction and blood pressure maintenance, offering new avenues for investigation using ZFP36 Antibody, FITC conjugated :

  • Flow Cytometric Analysis of Vascular Smooth Muscle Cells (VSMCs):

    • Isolate VSMCs from normotensive and hypertensive models

    • Use ZFP36 Antibody, FITC conjugated to quantify expression levels and correlate with blood pressure measurements

    • Co-stain with smooth muscle markers (α-SMA, SM22α) to ensure cell type specificity

    • Analyze changes in ZFP36 expression following angiotensin II treatment, which has been shown to stimulate ZFP36 expression through PARP1 activation

  • Immunofluorescence Visualization of ZFP36 in Vessel Wall:

    • Perform immunofluorescence staining of arterial cross-sections from experimental models

    • Visualize ZFP36 distribution within the vessel wall layers

    • Analyze co-localization with RGS2, a target of ZFP36 that regulates GPCR-mediated calcium signaling in VSMCs

  • Ex Vivo Vessel Studies:

    • Measure vessel contractility using wire myography in vessels from ZFP36-deficient and wildtype mice

    • Correlate ZFP36 expression levels (quantified by flow cytometry) with functional contractile responses

    • Examine calcium flux in isolated VSMCs while monitoring ZFP36 expression

These methodological approaches provide comprehensive investigation of ZFP36's role in vascular function, potentially identifying new therapeutic targets for hypertension management .

How can I address weak or no signal when using ZFP36 Antibody, FITC conjugated in flow cytometry?

When confronting weak or absent signals with ZFP36 Antibody, FITC conjugated in flow cytometry, implement this systematic troubleshooting approach:

  • Antibody-Related Factors:

    • Check antibody storage conditions; improper storage can diminish FITC fluorescence

    • Verify expiration date and minimize freeze-thaw cycles

    • Titrate antibody concentration (try 1:50 instead of recommended 1:100)

    • Consider alternative clones or formats if signal remains problematic

  • Sample Preparation:

    • Optimize fixation protocol; overfixation can mask epitopes

    • Ensure adequate permeabilization for intracellular detection

    • Use freshly prepared cells; viability below 90% can impact results

    • For primary cells, confirm appropriate stimulation conditions as ZFP36 expression is often activation-dependent

  • Instrument Settings:

    • Verify cytometer PMT voltages are appropriately set for FITC detection

    • Check for compensation issues if using multiple fluorophores

    • Ensure laser alignment and fluidics are functioning correctly

  • Biological Considerations:

    • Confirm ZFP36 expression timing in your cell type; expression may be transient

    • Include positive control samples (activated T cells or HeLa cells)

    • Consider protein stabilization approaches (proteasome inhibitors like MG132) as ZFP36 has a short half-life

  • Protocol Modification:

    • Extend incubation time to overnight at 4°C

    • Increase permeabilization time for difficult samples

    • Use signal amplification systems for low abundance detection

Document all optimization steps methodically to establish a reliable protocol for future experiments .

What strategies can address high background when using ZFP36 Antibody, FITC conjugated in immunofluorescence?

High background in immunofluorescence with ZFP36 Antibody, FITC conjugated can significantly compromise data quality. Implement these methodological solutions to enhance signal-to-noise ratio:

  • Blocking Optimization:

    • Extend blocking time to 2 hours at room temperature

    • Use 5-10% normal serum from the species unrelated to the primary antibody host

    • Add 0.1-0.3% Triton X-100 to blocking solution to reduce non-specific membrane binding

    • Consider adding 0.1% BSA-c (acetylated BSA) which can significantly reduce background in some tissues

  • Autofluorescence Reduction:

    • Pre-treat samples with 0.1% sodium borohydride for 10 minutes

    • For tissues with high endogenous fluorescence (brain, kidney), incubate with 0.1-1% Sudan Black B in 70% ethanol for 20 minutes

    • Consider commercial autofluorescence quenchers specific to tissue type

    • Use spectral unmixing on confocal microscopes to distinguish autofluorescence from specific signal

  • Washing Protocol Enhancement:

    • Increase wash duration (5 washes of 5 minutes each)

    • Add 0.05% Tween-20 to wash buffers

    • Use PBS with higher salt concentration (300mM NaCl) in wash buffers to reduce ionic interactions

  • Antibody Dilution and Incubation:

    • Further dilute antibody to 1:200 if background persists

    • Filter antibody solution through a 0.22μm filter before use to remove aggregates

    • Incubate at 4°C overnight instead of room temperature

    • Consider pre-adsorption of antibody with cell/tissue lysate from non-expressing samples

  • Mounting Media Considerations:

    • Use anti-fade mounting media with DAPI to improve signal stability

    • Ensure complete drying of sections before applying mounting media

    • Avoid air bubbles which can create imaging artifacts

These methodological refinements should be systematically tested to establish optimal conditions for specific tissue types and experimental settings .

How can I detect low levels of ZFP36 expression in clinical samples using flow cytometry?

Detecting low-abundance ZFP36 in clinical samples requires specialized methodological approaches to enhance sensitivity while maintaining specificity:

  • Signal Amplification Strategies:

    • Implement biotin-streptavidin amplification systems with biotinylated ZFP36 antibodies

    • Consider tyramide signal amplification (TSA) which can increase sensitivity by 10-100 fold

    • Use branched DNA amplification technologies for detecting extremely low copy numbers

  • Sample Processing Optimization:

    • Minimize time between sample collection and processing (ideally <2 hours)

    • Use protein transport inhibitors (Brefeldin A or Monensin) during any ex vivo stimulation

    • Add proteasome inhibitors during processing to prevent ZFP36 degradation

    • Optimize red blood cell lysis to minimize damage to white blood cells

  • Flow Cytometry Protocol Enhancements:

    • Increase acquisition time and cell numbers (collect minimum 100,000 events)

    • Implement sequential gating strategies focusing on specific cell populations

    • Use high-sensitivity flow cytometers with spectral analysis capabilities

    • Consider imaging flow cytometry to visualize ZFP36 localization patterns

  • Multiplexing Approaches:

    • Combine ZFP36 detection with lineage markers to identify specific cell populations

    • Include activation markers to correlate with ZFP36 expression

    • Consider mass cytometry (CyTOF) for highly multiplexed analysis without fluorescence overlap concerns

  • Data Analysis Refinements:

    • Use fluorescence-minus-one (FMO) controls for accurate gating

    • Implement probability binning or Kolmogorov-Smirnov statistics for detecting subtle shifts

    • Consider dimensionality reduction techniques (tSNE, UMAP) for visualizing complex datasets

These specialized approaches enable reliable detection of even subtle changes in ZFP36 expression, critical for translational studies examining conditions where ZFP36 dysregulation may contribute to pathology .

How does the role of ZFP36 in vascular smooth muscle cells inform potential therapeutic targets for hypertension?

Recent research has uncovered a novel role for ZFP36 in regulating vascular smooth muscle contraction and blood pressure, providing new therapeutic possibilities for hypertension management :

ZFP36 expression is significantly elevated in arteries of hypertensive patients and rodent models, suggesting pathological relevance. Mechanistically, angiotensin II (AngII) activates poly (ADP-ribose) polymerase-1 (PARP1), which stimulates ZFP36 expression at the transcriptional level in vascular smooth muscle cells (VSMCs). This pathological activation creates a cascade effect where ZFP36 regulates G protein-coupled receptor (GPCR)-mediated intracellular calcium signaling by targeting regulator of G protein signaling 2 (RGS2) mRNA for degradation .

Vascular smooth muscle-specific deletion of ZFP36 produces remarkable physiological effects, including reduced vessel contractility and lower blood pressure in mouse models. More significantly, VSMC-specific ZFP36 deficiency attenuates angiotensin II-induced hypertension and vascular remodeling. These findings have been further validated through AAV-mediated ZFP36 knockdown, which ameliorates spontaneous hypertension in rat models .

This research reveals ZFP36 as a potential therapeutic target, with several possible intervention strategies:

  • Pharmacological inhibition of ZFP36 binding to RGS2 mRNA

  • PARP1 inhibitors to prevent AngII-induced ZFP36 upregulation

  • RNA-based therapies targeting ZFP36 expression in VSMCs

Developing these therapeutic approaches requires precise understanding of ZFP36's expression patterns and activity in vascular tissues, where ZFP36 Antibody, FITC conjugated can be instrumental for expression analysis .

What does recent research reveal about the redundant versus specific functions of ZFP36 family members in T cell biology?

Recent comprehensive investigation of the ZFP36 family (ZFP36, ZFP36L1, ZFP36L2) has uncovered a fascinating dichotomy between redundant homeostatic functions and context-specific roles in autoimmunity :

T cell-specific deletion of all three ZFP36 family members results in a lethal inflammatory syndrome characterized by multi-organ inflammation, immune cell activation, and excessive production of proinflammatory cytokines (IFN-γ, TNF, GM-CSF). Mechanistically, this occurs through increased mRNA stability of these cytokine transcripts when ZFP36 proteins are absent. Remarkably, mice with T cell-specific deletion of any two ZFP36 genes are protected from this spontaneous inflammatory syndrome, demonstrating significant functional redundancy among family members during homeostasis .

In striking contrast, the research revealed context-specific functions during autoimmunity. T cell-specific deletion of both ZFP36L1 and ZFP36L2 unexpectedly rendered mice resistant to experimental autoimmune encephalomyelitis (EAE). This protection stemmed from failed priming of antigen-specific CD4+ T cells, as ZFP36L1/L2-deficient CD4+ T cells exhibited poor proliferation during T helper cell polarization .

These findings reveal a complex regulatory landscape:

  • During homeostasis: ZFP36 family members redundantly control T cell quiescence and prevent spontaneous inflammation

  • During autoimmune challenges: ZFP36L1 and ZFP36L2 specifically regulate antigen-specific T cell clonal expansion

This research highlights the importance of studying individual ZFP36 family members in different immunological contexts, where differential antibody-based detection can reveal distinct expression patterns and functional roles .

How can ZFP36 Antibody, FITC conjugated contribute to understanding the impact of post-translational modifications on ZFP36 function?

ZFP36 undergoes extensive post-translational modifications (PTMs) that significantly alter its RNA-binding activity, subcellular localization, and protein stability. Flow cytometry and immunofluorescence with ZFP36 Antibody, FITC conjugated can provide unique insights into these regulatory mechanisms:

  • Phosphorylation Analysis:

    • ZFP36 contains multiple phosphorylation sites targeted by p38 MAPK, MK2, ERK, and other kinases

    • Dual-parameter flow cytometry combining ZFP36 Antibody, FITC conjugated with phospho-specific antibodies can correlate total ZFP36 levels with phosphorylation status

    • Time-course experiments following cellular stimulation can reveal the dynamics of phosphorylation-induced changes in protein stability

    • Phosphorylation typically inhibits ZFP36's RNA-destabilizing activity while increasing protein stability

  • Subcellular Localization Studies:

    • Immunofluorescence analysis can track how PTMs affect ZFP36's nucleocytoplasmic shuttling

    • Co-localization with RNA processing bodies (P-bodies) or stress granules changes following various modifications

    • Proximity ligation assays combining ZFP36 Antibody with antibodies against modifying enzymes can reveal sites of modification

  • Proteomic Integration:

    • Flow sorting ZFP36-high and ZFP36-low populations followed by proteomic analysis can identify associated regulatory proteins

    • Immunoprecipitation using ZFP36 antibodies followed by mass spectrometry can identify novel PTMs

    • Correlating ZFP36 expression levels with target mRNA stability using RNA-seq approaches

The differential molecular weight observed for ZFP36 (calculated 34kDa versus observed 40-48kDa) likely reflects these extensive PTMs . Understanding these modifications is critical for developing therapeutic strategies targeting ZFP36, as specific modifications could be targeted to modulate its activity in disease contexts like inflammation or hypertension .

What emerging technologies could enhance detection and functional analysis of ZFP36 in single cells?

Several cutting-edge technologies are poised to revolutionize ZFP36 research at the single-cell level:

  • Spectral Flow Cytometry with Protein Epitope Detection:

    • Next-generation spectral cytometers can simultaneously detect 40+ parameters

    • Combining ZFP36 Antibody, FITC conjugated with RNA fluorescence in situ hybridization (FISH) can correlate protein expression with target mRNA levels in individual cells

    • Single-cell index sorting followed by transcriptomic or proteomic analysis enables correlation of ZFP36 levels with global gene expression patterns

  • Advanced Microscopy Approaches:

    • Super-resolution microscopy (STORM, PALM) can visualize ZFP36 within RNA granules at nanometer resolution

    • Lattice light-sheet microscopy enables long-term live-cell imaging of ZFP36 dynamics with minimal phototoxicity

    • Expansion microscopy physically enlarges cellular structures to reveal previously undetectable co-localization patterns

  • CRISPR-Based Functional Genomics:

    • CRISPR activation/inhibition systems targeting ZFP36 can be combined with antibody detection to correlate expression modulation with functional outcomes

    • CRISPR base editing or prime editing to introduce specific mutations can assess the impact of different ZFP36 domains or modification sites

    • Optical genetic control systems allow temporal regulation of ZFP36 expression during live imaging

  • Protein-RNA Interaction Technologies:

    • CLIP-seq (crosslinking immunoprecipitation) with ZFP36 antibodies can identify RNA targets in specific cell populations

    • Spatial transcriptomics combined with immunofluorescence can map ZFP36 protein distribution alongside its target mRNAs within tissues

    • Bioluminescence resonance energy transfer (BRET) systems can monitor ZFP36-RNA interactions in living cells

These emerging technologies will provide unprecedented insights into ZFP36's role in diverse physiological and pathological processes, potentially identifying new therapeutic targets for conditions ranging from autoimmunity to hypertension .

How might ZFP36 Antibody applications evolve to address emerging questions about RNA-binding proteins in disease pathogenesis?

The application landscape for ZFP36 antibodies is rapidly evolving to address complex questions about RNA-binding proteins in disease:

  • Multimodal Single-Cell Analysis:

    • Integration of ZFP36 protein detection with transcriptomics, epigenomics, and metabolomics at single-cell resolution

    • Development of antibodies recognizing specific ZFP36 conformational states or modification patterns

    • Implementation in spatial proteomics platforms to map ZFP36 distribution within tissue microenvironments

  • Clinical Translation Applications:

    • Development of companion diagnostics using ZFP36 antibodies to stratify patients for RNA-targeting therapeutics

    • Liquid biopsy applications detecting ZFP36 in extracellular vesicles as disease biomarkers

    • Immunomonitoring during clinical trials targeting post-transcriptional regulatory pathways

  • Advanced Therapeutic Development:

    • Antibody-drug conjugates targeting cells with aberrant ZFP36 expression

    • Intrabodies directed against specific functional domains of ZFP36

    • Antibody-based proximity-inducing systems to direct ZFP36 to specific cellular compartments

  • System Biology Integration:

    • Large-scale antibody-based screens examining ZFP36 interactome under various pathological conditions

    • Quantitative analysis of RNA regulons controlled by ZFP36 across disease states

    • Network pharmacology approaches targeting ZFP36-dependent post-transcriptional regulation

These evolving applications will help address fundamental questions about how post-transcriptional regulation contributes to disease pathogenesis, with particular relevance to inflammatory disorders, cardiovascular disease, and cancer where ZFP36 dysregulation has been implicated .

What methodological advances would facilitate studying ZFP36 in challenging primary cell types or rare patient samples?

Investigating ZFP36 in challenging primary cells or limited patient samples requires specialized methodological approaches:

  • Microfluidic Single-Cell Analysis:

    • Droplet-based systems requiring minimal cell input (1,000-10,000 cells)

    • Integrated platforms combining antibody detection with transcriptomics from the same cell

    • Microfluidic tissue processors that can extract and analyze cells from minimal biopsy material

  • Ultrasensitive Detection Methods:

    • Cyclical immunofluorescence allowing sequential staining of multiple targets on the same sample

    • Single-molecule imaging approaches detecting individual ZFP36 proteins

    • Proximity ligation assays amplifying detection sensitivity by 100-1000 fold

    • Digital ELISA platforms (e.g., Simoa) for detecting ZFP36 in body fluids at femtomolar concentrations

  • Ex Vivo Culture Optimization:

    • Organoid or spheroid cultures maintaining primary cell phenotypes during extended analysis

    • Tissue slice cultures preserving microenvironmental signals influencing ZFP36 expression

    • Patient-derived xenograft models expanding limited patient material for longitudinal studies

  • Non-destructive Analysis Approaches:

    • Live-cell imaging with minimally perturbative labeling strategies

    • Real-time reporters of ZFP36 activity using fluorescent RNA probes

    • Non-invasive sampling techniques to monitor ZFP36 in accessible body fluids

  • Computational Integration:

    • Machine learning algorithms to extract maximal information from limited datasets

    • Transfer learning approaches applying insights from abundant cell types to rare populations

    • Data integration frameworks combining sparse multiomics data into coherent models

These methodological advances would particularly benefit research into rare autoimmune conditions, tissue-specific vascular pathologies, and cancer specimens where ZFP36 dysregulation may contribute to disease mechanisms but material for analysis is severely limited .

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