Zinc finger CCCH domain-containing protein ZFN-like Antibody

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Description

Introduction to CCCH-Type Zinc Finger Proteins

CCCH-type zinc finger proteins are characterized by conserved cysteine (C) and histidine (H) residues arranged in a CX₇–₈CX₅CX₃H motif, enabling RNA binding and post-transcriptional regulation . Over 57 human CCCH proteins have been identified, with roles spanning immune homeostasis, viral restriction, and cancer progression . Antibodies targeting these proteins, like the ZFN-like Antibody, enable precise detection and functional analysis in research settings.

Biological Functions and Mechanisms

CCCH proteins regulate immune responses and viral replication through:

  • RNA Binding and Decay: Proteins like ZC3HAV1 (ZAP) bind viral mRNA, recruiting exonucleases (e.g., exosome complex) for degradation .

  • Immune Modulation: ZC3H12A (Regnase-1) and ZFP36 (TTP) destabilize cytokine mRNAs, limiting inflammation .

  • Antiviral Activity: ZC3HAV1 inhibits influenza A virus and HIV by degrading viral RNA and suppressing translation .

Key CCCH Proteins and Their Roles:

ProteinFunctionViral TargetsReference
ZC3HAV1 (ZAP)Degrades CG-rich viral RNAHIV, influenza, SARS-CoV-2
ZCCHC3Enhances IFN-β productionH9N2 influenza, IBV
MKRN1Promotes adenovirus replicationHuman adenovirus

Applications of ZFN-like Antibodies in Research

Antibodies targeting CCCH proteins enable:

  • Protein Localization: Identifying nuclear vs. cytoplasmic shuttling (e.g., ZAP’s dual localization during viral infection) .

  • Functional Studies: Knockdown/overexpression experiments to assess antiviral activity (e.g., ZCCHC3’s role in boosting IFN-β) .

  • Clinical Biomarkers: Detecting overexpression in cancers (e.g., ZBTB20 in hepatocellular carcinoma) .

Clinical and Therapeutic Implications

  • Cancer: High ZBTB20 and ZNF689 expression correlates with poor prognosis in hepatocellular carcinoma .

  • Viral Infections: ZC3HAV1 agonists could treat RNA viruses, but viral evasion mechanisms (e.g., NS1 protein antagonism) pose challenges .

Challenges and Future Directions

  • Specificity: Cross-reactivity of antibodies with homologous CCCH proteins remains a concern .

  • Therapeutic Targeting: Small-molecule inhibitors of pro-viral CCCH proteins (e.g., MKRN1) are under exploration .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
Zinc finger CCCH domain-containing protein ZFN-like antibody
Uniprot No.

Target Background

Subcellular Location
Nucleus.

Q&A

What is the basic structure of CCCH zinc finger proteins and how does it relate to their function?

CCCH zinc finger proteins are characterized by one or more zinc finger domains containing a signature motif of three cysteine residues and one histidine residue that coordinate a zinc ion. This forms a finger-shaped tetrahedral structure critical for binding to specific targets. The consensus sequence was originally defined as C-X₆₋₁₄-C-X₄₋₅-C-X₃₋₄-H, though additional motifs have been identified . This structure enables CCCH zinc finger proteins to interact with nucleic acids (particularly RNA) and other proteins, facilitating their roles in post-transcriptional regulation. The zinc-binding domain creates a specific pocket that recognizes target sequences, with each zinc finger potentially accommodating specific nucleotide residues .

What are the primary cellular functions of ZC3HAV1/ZAP in antiviral immunity?

ZC3HAV1 (Zinc finger CCCH-type antiviral protein 1), also known as ZAP, functions as a critical antiviral protein by:

  • Binding to ZAP-responsive elements (ZREs) in viral mRNAs

  • Recruiting cellular RNA degradation machinery including:

    • Poly(A)-specific ribonuclease PARN to remove poly(A) tails

    • 3'-5' exoribonuclease complex exosome to degrade RNA from the 3' end

    • Decapping complex DCP1-DCP2 (via RNA helicase p72/DDX17) to remove 5' cap structures

These mechanisms target viral mRNAs for degradation, inhibiting viral replication. ZC3HAV1 is particularly effective against viruses from multiple families including retroviruses (HIV-1, MLV), filoviruses (Ebola, Marburg), and togaviruses (Sindbis virus) . Additionally, isoform 2 acts as a positive regulator of RIG-I signaling, activating IRF3 and inducing type I interferon production .

What are the optimal applications for different anti-ZC3HAV1 antibodies in research?

Antibody TypeOptimal ApplicationsSpecies ReactivitySpecial Considerations
Rabbit Recombinant Monoclonal [EPR28538-63]IHC-P, Flow Cyt (Intra), WB, ICC/IFHuman, RatHigher specificity for consistent results in quantitative applications
Rabbit Polyclonal (ab105357)ICC, WBHumanGood for initial screening; cited in publications
Rabbit Polyclonal (ab154680)WB, ICC/IF, IHC-PHumanBroader epitope recognition; validated in 14 publications

When selecting an antibody, researchers should consider:

  • The specific application requirements (sensitivity vs. specificity)

  • The cellular localization of the target protein

  • The expression level in the studied tissue/cell type

  • The need for quantitative vs. qualitative analysis

For critical quantitative experiments, monoclonal antibodies generally provide more consistent results due to their homogeneity and defined epitope specificity .

What are the recommended protocols for detecting ZC3HAV1 expression changes during viral infection?

For monitoring ZC3HAV1 expression changes during viral infection, a multi-method approach is recommended:

  • Western Blot Analysis:

    • Harvest cells at multiple time points post-infection

    • Use appropriate lysis buffer containing protease inhibitors

    • Load equal amounts of protein (15-20 μg) per lane

    • Optimize primary antibody concentration (typically 1 μg/mL)

    • Include appropriate loading controls (β-actin, GAPDH)

    • Quantify band intensity using densitometry software

  • Quantitative RT-PCR:

    • Design primers specific to different ZC3HAV1 isoforms

    • Use standard curve method for absolute quantification

    • Normalize to multiple reference genes for accurate relative quantification

    • Include interferon-stimulated gene controls (e.g., MxA, ISG15)

  • Immunofluorescence Analysis:

    • Fix cells using 4% paraformaldehyde (20 minutes at room temperature)

    • Permeabilize with 0.1% Triton X-100

    • Block with 5% BSA or serum

    • Use optimized primary antibody concentration (typically 20 μg/mL)

    • Include appropriate controls (unstained, secondary-only, known positive)

Research has shown that ZC3HAV1 expression is significantly induced during IAV and Sendai virus infection through the IFNAR signaling pathway. Therefore, include type I interferon treatment as a positive control in your experimental design .

How can researchers address nonspecific binding issues when using anti-ZC3HAV1 antibodies?

Nonspecific binding is a common challenge with anti-ZC3HAV1 antibodies. To address this:

  • Optimize blocking conditions:

    • Test different blocking agents (5% BSA, 5% non-fat milk, commercial blockers)

    • Extend blocking time to 2 hours at room temperature or overnight at 4°C

    • Include 0.1-0.3% Tween-20 in wash and incubation buffers

  • Antibody titration:

    • Perform a dilution series (1:500 to 1:5000) to identify optimal concentration

    • Consider using longer incubation times with more dilute antibody solutions

  • Pre-adsorption controls:

    • Pre-incubate antibody with immunizing peptide (if available)

    • Compare with non-pre-adsorbed antibody to identify specific bands

  • Validation with multiple antibodies:

    • Use antibodies targeting different epitopes of ZC3HAV1

    • Compare banding patterns across different antibodies

    • Consider siRNA knockdown controls to confirm specificity

  • Sample preparation:

    • Ensure complete denaturation for Western blot applications

    • Add reducing agents (DTT or β-mercaptoethanol) to disrupt potential disulfide bonds

    • Consider phosphatase inhibitors to preserve post-translational modifications

Note that ZC3HAV1 has multiple isoforms (predicted band size of 101 kDa for the full-length protein), which can complicate analysis. Additionally, post-translational modifications may affect migration patterns on SDS-PAGE .

What are the common pitfalls in experimental design when studying ZC3HAV1's antiviral functions?

Common pitfalls in ZC3HAV1 research include:

  • Isoform confusion:

    • Failing to distinguish between isoform 1 (more potent viral inhibitor) and isoform 2 (RIG-I signaling regulator)

    • Solution: Use isoform-specific primers for RT-PCR and validate with isoform-specific antibodies when available

  • Cellular context oversight:

    • Neglecting the impact of cell type-specific expression patterns

    • Solution: Compare ZC3HAV1 function across multiple relevant cell types (e.g., immune cells vs. epithelial cells)

  • Inadequate viral controls:

    • Using limited viral models that may not represent the full spectrum of ZC3HAV1 activity

    • Solution: Include diverse viral families (retroviridae, filoviridae, togaviridae) in functional studies

  • Temporal dynamics misinterpretation:

    • Sampling at single time points that miss the dynamic regulation of ZC3HAV1

    • Solution: Implement time-course experiments with multiple sampling points post-infection

  • Ignoring interferon feedback loops:

    • Failing to account for interferon-mediated amplification of ZC3HAV1 expression

    • Solution: Include interferon receptor blockade or knockout controls

    • Consider using IFNAR-deficient cells to distinguish direct viral induction from interferon-mediated effects

  • Overlooking post-translational modifications:

    • Missing important regulatory mechanisms affecting ZC3HAV1 function

    • Solution: Incorporate phosphorylation-specific antibodies or mass spectrometry analysis of modifications

How do the RNA-binding specificities of different CCCH zinc finger proteins determine their roles in immune regulation?

The RNA-binding specificities of CCCH zinc finger proteins are determined by several factors:

  • Domain architecture:

    • The number, spacing, and arrangement of CCCH zinc finger motifs

    • Presence of auxiliary domains (ROQ domain, RRM domain, etc.)

    • For example, ZC3HAV1 binds ZRE sequences in viral mRNAs, while roquin proteins recognize stem-loop structures

  • Sequence recognition elements:

    • Each CCCH finger can recognize specific RNA sequences

    • Tandem CCCH fingers (as in TTP family) often recognize AU-rich elements

    • ZC3HAV1's RNA binding appears to be sequence-specific rather than structure-dependent

    • Roquin's CCCH zinc finger recognizes AU-rich RNAs while its ROQ domain binds to stem-loop structures

  • Cooperative binding mechanisms:

    • Interaction with protein partners can modify binding specificity

    • RNA secondary structures can influence accessibility to binding sites

These specificities translate to distinct immunoregulatory functions:

CCCH ProteinPrimary RNA TargetsImmune Regulation Function
ZC3HAV1/ZAPViral mRNAs containing ZRE elementsAntiviral defense against specific viruses; regulation of type I IFN production
TTPAU-rich elements in cytokine mRNAsResolution of inflammation by destabilizing TNF, IL-6 mRNAs
Roquin 1Stem-loop structures (CDE) in mRNAsMaintenance of immune homeostasis; prevention of autoimmunity
MCPIP1Stem-loop structures in cytokine mRNAsControl of inflammation and T-cell activation

Understanding these specificities is critical for developing targeted interventions that could modulate immune responses in infectious and autoimmune diseases .

What are the current hypotheses regarding the evolutionary adaptations of viruses to evade ZC3HAV1-mediated restriction?

Viruses have evolved several mechanisms to counter ZC3HAV1-mediated restriction:

  • Sequence composition adaptation:

    • Some viruses show CpG dinucleotide suppression in their genomes to avoid ZC3HAV1 recognition

    • Codon optimization away from ZRE-like sequences

    • This explains why certain viral families appear more resistant to ZC3HAV1 restriction

  • Viral antagonist proteins:

    • Expression of proteins that directly bind to and inhibit ZC3HAV1

    • Degradation of ZC3HAV1 through proteasomal or autophagic pathways

    • Sequestration of ZC3HAV1 away from viral replication complexes

  • RNA structural shielding:

    • Formation of complex RNA secondary structures that mask ZRE sequences

    • Incorporation of viral RNAs into protein complexes that prevent ZC3HAV1 access

    • Association with cellular membranes that physically separate viral RNA from cytoplasmic ZC3HAV1

  • Interferon antagonism:

    • Many viruses inhibit type I interferon production or signaling

    • This indirectly reduces ZC3HAV1 expression, which is interferon-inducible

    • Creates a permissive environment for viral replication despite the presence of ZC3HAV1

These mechanisms likely represent an ongoing evolutionary arms race between host restriction factors and viral evasion strategies. Understanding these adaptations could inform the development of novel antiviral therapies that restore or enhance ZC3HAV1-mediated restriction .

How can engineered zinc finger proteins be used as therapeutic tools for viral infections?

Engineered zinc finger proteins offer promising therapeutic applications for viral infections:

  • Designer antiviral zinc fingers:

    • Engineering ZC3HAV1 variants with enhanced binding to specific viral RNA sequences

    • Creation of chimeric proteins combining zinc finger domains with other antiviral effectors

    • These could target viruses normally resistant to endogenous ZC3HAV1

  • Zinc finger nucleases (ZFNs) targeting viral genomes:

    • Custom-designed ZFNs can target integrated viral DNA (e.g., HIV provirus)

    • ZFDesign AI tool enables rapid design of zinc fingers for any DNA sequence

    • The compact size of zinc finger domains (compared to CRISPR systems) facilitates delivery via viral vectors

  • Zinc finger-based gene therapy approaches:

    • Zinc finger transcriptional regulators (ZF-TRs) can modulate expression of host factors required for viral replication

    • ZF repressors could downregulate viral co-receptors

    • ZF activators could enhance expression of restriction factors

  • Delivery considerations:

    • AAV-compatible size (zinc fingers are significantly smaller than CRISPR-Cas systems)

    • Reduced immunogenicity (zinc fingers derived from human proteins)

    • Potential for oral administration using novel delivery systems

Recent technological advances in zinc finger design have dramatically improved specificity. The ZFDesign AI system can now identify optimal zinc finger combinations for any DNA sequence, making this approach more accessible to the broader research community .

What are the most promising approaches for investigating the interplay between ZC3HAV1 and other innate immune factors during viral infection?

To comprehensively investigate ZC3HAV1's role in the immune response network:

  • Single-cell multi-omics approaches:

    • scRNA-seq combined with proteomics to track ZC3HAV1 expression and activity at cellular resolution

    • CITE-seq to simultaneously measure ZC3HAV1 and other immune factors at the protein level

    • These approaches reveal cell-specific responses and heterogeneity in ZC3HAV1 function

  • Proximity labeling techniques:

    • BioID or APEX2 fusions with ZC3HAV1 to identify proximal interacting partners during infection

    • TurboID-based temporal mapping of interaction dynamics

    • These methods can reveal previously unknown protein interactions in native cellular contexts

  • CLIP-seq and variant approaches:

    • iCLIP or eCLIP to map ZC3HAV1 binding sites on viral and cellular RNAs with nucleotide resolution

    • CLIP-seq combined with RNA structure mapping to understand structural determinants of binding

    • These techniques provide comprehensive target identification and binding site characterization

  • Integrative signaling analysis:

    • Phosphoproteomics to map signaling pathways activated by ZC3HAV1

    • Kinase inhibitor screens to identify regulatory nodes

    • Systems biology modeling of ZC3HAV1 network interactions

    • These approaches place ZC3HAV1 within broader immune signaling networks

  • In vivo infection models with tissue-specific modulation:

    • Conditional knockout models to assess tissue-specific ZC3HAV1 functions

    • Humanized mouse models for studying human-specific aspects of ZC3HAV1 activity

    • CRISPR-based screens to identify genetic dependencies

The most innovative studies are using combinatorial approaches - for example, integrating ZC3HAV1 CLIP-seq data with transcriptomics and proteomics from the same experimental system to build comprehensive models of how ZC3HAV1 coordinates with other antiviral factors like RIG-I, MDA5, and interferon-stimulated genes .

What are the technical considerations when designing antibody-based detection systems for studying different ZC3HAV1 isoforms?

Designing isoform-specific detection systems for ZC3HAV1 requires addressing several technical challenges:

  • Epitope selection for isoform specificity:

    • ZC3HAV1 has multiple isoforms with varying functional domains

    • Isoform 1 (long) is a more potent viral inhibitor

    • Isoform 2 regulates RIG-I signaling

    • Select epitopes in unique regions of each isoform (C-terminal regions often differ)

  • Validation strategy:

    • Generate recombinant isoform proteins as positive controls

    • Use isoform-specific siRNA/shRNA knockdowns as negative controls

    • Implement CRISPR-edited cell lines expressing single isoforms

    • Cross-validate with orthogonal detection methods (mass spectrometry)

  • Detection method considerations:

MethodAdvantagesLimitationsOptimization Tips
Western blotDistinguishes isoforms by sizeLimited for quantificationUse gradient gels (6-12%) for better separation of isoforms
ImmunofluorescenceReveals subcellular localizationDifficult to distinguish isoformsCombine with proximity ligation assay for isoform-specific interactors
Flow cytometryQuantitative at single-cell levelRequires highly specific antibodiesInclude fluorescence minus one (FMO) controls
IP-mass specDefinitive isoform identificationComplex workflowUse isoform-specific peptides as internal standards
  • Post-translational modification awareness:

    • Different isoforms may undergo distinct post-translational modifications

    • Consider phospho-specific antibodies for activation-dependent studies

    • Use phosphatase treatments as controls when necessary

For applications requiring absolute certainty of isoform identity, consider using gene editing to tag endogenous isoforms with different epitope tags (FLAG, HA, V5) to enable unambiguous detection.

What are the best experimental approaches for dissecting the mechanistic differences between ZC3HAV1's direct antiviral activity and its role in IFN signaling enhancement?

To differentiate between ZC3HAV1's direct antiviral and IFN-enhancing functions:

  • Temporal kinetics analysis:

    • Establish detailed time courses of infection

    • Monitor ZC3HAV1 localization, viral RNA binding, and IFN production

    • Direct antiviral effects typically precede IFN signaling effects

    • Use synchronized infection protocols for clear kinetic separation

  • Domain-specific mutant analysis:

    • Generate ZC3HAV1 constructs with mutations in:

      • RNA-binding CCCH zinc finger domains (disrupts direct antiviral activity)

      • RIG-I interaction domains (disrupts IFN signaling enhancement)

    • Express these constructs in ZC3HAV1-knockout cells

    • Compare viral replication and IFN production phenotypes

  • Cell-type specific studies:

    • Use naturally IFN-deficient cell lines

    • Compare with matched IFN-competent cells

    • This approach isolates direct antiviral effects from IFN-mediated effects

  • Viral target mutation analysis:

    • Engineer viruses with mutations in ZC3HAV1-binding elements

    • These viruses escape direct restriction but still trigger IFN responses

    • Compare with wild-type viruses to separate mechanisms

  • Biochemical separation of activities:

    • In vitro reconstitution of direct RNA degradation

    • Co-immunoprecipitation to identify different ZC3HAV1 complexes

    • Size exclusion chromatography to separate functional complexes

    • RNA degradation assays with purified components

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