RNF130 Antibody

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Description

Key Roles of RNF130

  • LDL Cholesterol Regulation:
    RNF130 ubiquitinates the LDL receptor (LDLR), reducing its plasma membrane localization and increasing circulating LDL cholesterol levels. Loss of RNF130 in mice elevates hepatic LDLR by 40% and decreases plasma LDL-C by 25% .

  • Pulmonary Fibrosis Protection:
    RNF130 suppresses aerobic glycolysis by mediating c-myc ubiquitination, thereby inhibiting fibrotic pathways .

  • Apoptosis Regulation:
    Upregulated during IL3 deprivation in myeloid cells, suggesting a role in growth factor withdrawal-induced apoptosis .

Table 1: Key Research Findings on RNF130

Study FocusMethodologyOutcomeCitation
LDL-C ModulationIn vivo ASO, CRISPR, KORNF130 disruption ↑ LDLR (hepatic), ↓ plasma LDL-C
Fibrosis MechanismUbiquitination assaysRNF130 ↓ c-myc stability → ↓ glycolysis → ↓ fibrosis
Structural AnalysisDomain mappingPA and RING domains critical for E3 ligase activity

Table 2: Select RNF130 Antibodies

Clone IDHost SpeciesApplicationTarget RegionVendor
Anti-RNF130-1ARabbitWB, IHC, IPC-terminal (AA 300-416)ABC Biotech
hRNF130-mAbMouseELISA, Flow CytometryPA domain (AA 150-250)XYZ Antibodies

Research Applications

  • Mechanistic Studies: Used to track RNF130-LDLR interactions in hepatic cells .

  • Disease Models: Employed in fibrosis research to quantify c-myc ubiquitination levels .

  • Diagnostic Potential: Investigated as a biomarker for cerebellar astrocytomas .

Challenges and Future Directions

  • Specificity Issues: Cross-reactivity with paralogs like RNF150 requires rigorous validation .

  • Therapeutic Targeting: PROTABs (proteolysis-targeting antibodies) are being explored to modulate RNF130 activity for metabolic disorders .

Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we are able to ship products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery time estimates.
Synonyms
RNF130 antibody; E3 ubiquitin-protein ligase RNF130 antibody; EC 2.3.2.27 antibody; Goliath homolog antibody; H-Goliath antibody; RING finger protein 130 antibody; RING-type E3 ubiquitin transferase RNF130 antibody
Target Names
Uniprot No.

Target Background

Function
RNF130 is believed to play a role in the programmed cell death of hematopoietic cells. It functions as an E3 ubiquitin-protein ligase.
Gene References Into Functions
  1. GOLIATH, a paralog of GRAIL, is a newly identified E3 ligase protein, expressed in leukocytes. PMID: 16549277
  2. Cloning and functional analysis of the rat counterpart has been described in the literature. PMID: 13679316
  3. Cloning and functional analysis of the mouse counterpart has been described in the literature. PMID: 10806348
Database Links

HGNC: 18280

KEGG: hsa:55819

STRING: 9606.ENSP00000430237

UniGene: Hs.484363

Subcellular Location
Membrane; Single-pass type I membrane protein. Cytoplasm.
Tissue Specificity
Ubiquitously expressed. Highly expressed in leukocytes. Not expressed in erythroblasts.

Q&A

What is RNF130 and why is it significant in molecular research?

RNF130 (Ring Finger Protein 130) is a 419-amino acid protein (46.4 kDa) that functions as an E3 ubiquitin ligase. It contains a RING finger motif and is ubiquitously expressed across various tissue types with subcellular localization in both membrane and cytoplasm . Its significance stems from its role in regulating LDLR (Low-Density Lipoprotein Receptor) availability through ubiquitination, directly affecting plasma LDL cholesterol levels . Recent studies have identified RNF130 as a novel post-translational regulator of cholesterol metabolism, making it a potential therapeutic target for lipid disorders . Additionally, RNF130 may regulate programmed cell death in hematopoietic cells and has been found upregulated in certain pathological conditions including hydatidiform mole tissue and esophageal adenocarcinoma .

What types of RNF130 antibodies are available for research applications?

RNF130 antibodies are predominantly polyclonal antibodies produced in rabbits, targeting various epitopes of the human RNF130 protein . The available formats include:

FormatCommon ApplicationsSpecies ReactivityNotes
UnconjugatedWB, ELISA, IHCHuman, Mouse, RatMost widely used format
Fluorophore-conjugated (488, 555, 647, 750)IF, IHCHuman, Mouse, RatAvailable with various fluorescent tags for direct detection
Biotin-conjugatedWB, IHCHuman, Mouse, RatUseful for amplification systems

These antibodies target different regions of RNF130, including internal regions, C-terminal domains, and specific amino acid sequences (e.g., AA 44-93) . Western blotting is the most validated application, typically using dilutions of 0.04-0.4 μg/mL for optimal results .

How are RNF130 antibodies validated for research applications?

Validation of RNF130 antibodies follows a multi-step process to ensure specificity and reliability :

  • Western blot analysis: Performed on panels of human tissues and cell lines to evaluate antibody specificity at the expected molecular weight of 46.4 kDa (±20%)

  • Protein array testing: Antibodies are tested against arrays containing 384 different antigens including the target to analyze cross-reactivity

  • Immunohistochemistry validation: Tested against 44 normal human tissues and 20 common cancer tissue types

  • Enhanced validation methods may include:

    • Genetic validation through knockout/knockdown models

    • Recombinant expression validation

    • Independent antibody validation with multiple antibodies targeting different epitopes

    • Orthogonal validation comparing protein and RNA expression

    • Capture MS validation

For revalidation of antibodies with initial unreliable results, overexpression lysates are commonly employed .

What are the optimal conditions for using RNF130 antibodies in Western blotting?

For optimal Western blot detection of RNF130:

  • Sample preparation:

    • Homogenize tissue samples in RIPA buffer containing protease inhibitor cocktail (Complete MINI EDTA-free tablets, calpain inhibitor, and PMSF)

    • Load 25-50 μg of protein per lane on SDS-PAGE gels

  • Transfer conditions:

    • Transfer to PVDF membrane for optimal protein binding

    • Use standard transfer conditions (typically 100V for 1 hour or 30V overnight)

  • Antibody dilutions:

    • Primary RNF130 antibody: 1:1000 dilution (0.04-0.4 μg/mL)

    • Secondary HRP-conjugated antibody: 1:10,000 dilution

  • Detection system:

    • Enhanced chemiluminescence (ECL) is recommended

    • Expected band size: approximately 46.4 kDa

    • Note that glycosylated forms may appear at slightly higher molecular weights

  • Controls:

    • Positive control: Liver tissue shows high expression

    • Negative control: RNF130 knockout/knockdown samples when available

How can RNF130 antibodies be used to study protein-protein interactions?

RNF130 antibodies are valuable tools for studying protein-protein interactions, particularly in the context of ubiquitination pathways:

  • Co-immunoprecipitation (Co-IP) protocol:

    • Prepare cell lysates in RIPA buffer with protease inhibitors

    • Clear lysates by centrifugation (10,000 × g, 10 min, 4°C)

    • Quantify protein concentration using BCA assay

    • Incubate equal amounts of protein with anti-RNF130 antibody (1:1000) overnight at 4°C

    • Add protein-G agarose beads for an additional 2 hours

    • Wash beads 3× with RIPA buffer containing protease inhibitors

    • Elute bound proteins with Laemmli buffer at 70°C for 30 minutes

  • Ubiquitination assays:

    • Transfect cells with HA-tagged ubiquitin and target protein (e.g., LDLR-GFP)

    • Co-express RNF130 or RNF130 mutants (e.g., C304A RING domain mutant)

    • Immunoprecipitate the target protein (e.g., with anti-GFP antibodies)

    • Detect ubiquitination with anti-HA antibodies

    • Use RNF130 antibodies to confirm expression levels in input samples

  • Controls for specificity:

    • Include non-specific IgG controls

    • Use RING domain mutants (C304A) as negative controls for E3 ligase activity

    • Include lysates from RNF130 knockout/knockdown cells

What immunohistochemistry protocols work best with RNF130 antibodies?

For optimal immunohistochemistry results with RNF130 antibodies:

  • Tissue preparation:

    • Formalin-fixed, paraffin-embedded sections (5 μm thickness)

    • Antigen retrieval: Citrate buffer (pH 6.0), heat-induced epitope retrieval recommended

  • Staining protocol:

    • Deparaffinize and rehydrate sections through xylene and graded alcohols

    • Block endogenous peroxidase activity with 3% H₂O₂

    • Block non-specific binding with 5% normal serum from the same species as the secondary antibody

    • Primary antibody incubation: 1:200-1:500 dilution, overnight at 4°C

    • Secondary antibody: HRP-conjugated anti-rabbit IgG, 30 minutes at room temperature

    • Visualization: DAB (3,3'-diaminobenzidine) substrate

    • Counterstain: Hematoxylin

  • Positive control tissues:

    • Liver tissue shows strong expression

    • Leukocytes demonstrate consistent expression

  • Expected staining pattern:

    • Membranous and cytoplasmic staining

    • Variable intensity across different cell types

How can RNF130 antibodies be used to study its role in LDLR regulation and cholesterol metabolism?

For investigating RNF130's role in LDLR regulation:

  • LDLR ubiquitination analysis:

    • Perform in vitro ubiquitination assays using purified components:

      • Recombinant E1, E2, and RNF130 (E3)

      • Purified LDLR or LDLR domains

      • Ubiquitin and ATP

    • Detect ubiquitinated LDLR using anti-LDLR and anti-ubiquitin antibodies

    • Use RNF130 antibodies to confirm the presence of RNF130 in the reaction

  • LDLR trafficking studies:

    • Perform immunofluorescence co-localization studies:

      • Co-stain cells with anti-LDLR and anti-RNF130 antibodies

      • Use markers for different cellular compartments (plasma membrane, endosomes, etc.)

    • Track LDLR internalization and recycling in the presence or absence of RNF130

    • Quantify cell surface LDLR using cell surface biotinylation assays and RNF130 antibodies to correlate with RNF130 expression levels

  • In vivo studies:

    • Use RNF130 antibodies to verify RNF130 expression/knockdown in various models:

      • Antisense oligonucleotide (ASO) treatment

      • Germline deletion models

      • AAV-CRISPR-mediated disruption

    • Correlate RNF130 protein levels with hepatic LDLR abundance and plasma LDL-C levels

    • Examine tissue-specific effects using immunohistochemistry with RNF130 antibodies

What approaches are recommended for studying RNF130 in disease models?

For studying RNF130 in disease contexts:

  • Cancer research applications:

    • Quantitative analysis in tissue microarrays:

      • RNF130 is upregulated in Barrett esophagus (BE) and esophageal adenocarcinoma (EAC)

      • Use RNF130 antibodies at 1:200-1:500 dilution for IHC

      • Quantify expression using H-scoring or digital image analysis

    • Correlation with disease progression:

      • Compare RNF130 expression between normal, premalignant, and malignant tissues

      • Correlate with clinical outcomes and other molecular markers

  • Cardiovascular disease models:

    • Atherosclerosis models:

      • Use RNF130 antibodies to monitor expression in atherosclerotic plaques

      • Correlate with LDLR levels and plasma cholesterol

    • High-fat diet studies:

      • Monitor RNF130 expression changes in response to dietary challenges

      • Track correlation with lipid profiles and LDLR expression

  • Experimental knockdown/overexpression validation:

    • For knockdown validation:

      • Western blotting with RNF130 antibodies (1:1000 dilution)

      • qPCR to correlate protein with mRNA levels

    • For overexpression studies:

      • Compare wildtype RNF130 with RING domain mutants (C304A)

      • Use FLAG-tagged constructs with both anti-FLAG and anti-RNF130 antibodies

How can researchers troubleshoot inconsistent RNF130 antibody staining results?

When encountering inconsistent RNF130 antibody staining:

  • Epitope masking issues:

    • RNF130 undergoes glycosylation which may mask epitopes

    • Try multiple antibodies targeting different regions of the protein

    • For glycosylated proteins, consider enzymatic deglycosylation (PNGase F treatment) before analysis

  • Fixation-dependent epitope accessibility:

    • Compare different fixation methods:

      • 4% paraformaldehyde (10-15 minutes)

      • Methanol fixation (-20°C, 10 minutes)

      • Acetone fixation (room temperature, 5 minutes)

    • Optimize antigen retrieval methods (citrate buffer vs. EDTA buffer)

  • Validation across multiple platforms:

    • Confirm expression using orthogonal methods:

      • Western blot

      • qPCR

      • Mass spectrometry

    • Use genetic models (knockout/knockdown) as negative controls

    • Consider testing for specificity on protein arrays

  • Sample-specific considerations:

    • Fresh vs. frozen vs. fixed tissues may require different antibody dilutions

    • Autofluorescence can be a problem in some tissues - use appropriate quenching methods

    • High endogenous peroxidase activity may require extended blocking steps

    • Consider tissue-specific expression levels when optimizing protocols

How should researchers quantify and normalize RNF130 expression in Western blot analyses?

For accurate quantification of RNF130 in Western blots:

  • Loading control selection:

    • GAPDH or β-actin for general normalization

    • PDI (Protein Disulfide Isomerase) for ER-localized proteins

    • Na⁺/K⁺ ATPase for membrane proteins

    • Consider compartment-specific controls since RNF130 localizes to both membrane and cytoplasm

  • Densitometry methods:

    • Use software like ImageJ, Image Lab, or AI600 Imager quantification tools

    • Ensure linear range of detection (avoid saturated signals)

    • Subtract background using local background correction

    • Normalize RNF130 band intensity to loading control

  • Technical considerations:

    • Run a dilution series of a positive control to establish a standard curve

    • Include at least 3 biological replicates for statistical validity

    • For glycosylated RNF130, consider quantifying all bands within the 45-55 kDa range

    • Report both individual and combined band intensities when multiple bands are present

What are the best practices for analyzing RNF130 immunostaining in tissues?

For rigorous analysis of RNF130 immunostaining:

  • Scoring systems:

    • Semi-quantitative H-score (combines intensity and percentage of positive cells)

    • Digital pathology quantification (for more objective assessment)

    • Consider both membrane and cytoplasmic staining separately

  • Comparison across tissues:

    • RNF130 is ubiquitously expressed but with variable intensity

    • Liver and leukocytes show high expression and can serve as internal positive controls

    • Use standardized tissue microarrays for comparison across multiple samples

  • Co-localization analysis:

    • For fluorescence microscopy, use Pearson's or Mander's coefficients

    • Compare RNF130 localization with organelle markers:

      • Plasma membrane (Na⁺/K⁺ ATPase)

      • Endoplasmic reticulum (Calnexin, PDI)

      • Golgi (GM130)

      • Endosomes (EEA1, Rab5, Rab7, Rab11)

  • Documentation guidelines:

    • Include full tissue section images at low magnification

    • Provide higher magnification of representative areas

    • Document all microscope settings, exposure times, and post-processing details

How can researchers validate the specificity of their RNF130 antibody-based findings?

To ensure the validity of RNF130 antibody-based research:

  • Multiple antibody approach:

    • Use at least two independent antibodies targeting different epitopes

    • Compare antibodies from different vendors or different host species

    • Confirm similar patterns across different detection methods

  • Genetic validation:

    • CRISPR/Cas9 knockout or knockdown validation

    • siRNA or shRNA knockdown

    • Rescue experiments with ectopic expression of RNF130

    • Compare wildtype and RING domain mutants (C304A) to validate functional observations

  • Cross-species validation:

    • RNF130 is conserved across species (human, mouse, rat, bovine, etc.)

    • Compare expression patterns in orthologous tissues from different species

    • Be aware of potential species-specific differences in glycosylation or other post-translational modifications

  • Technical controls:

    • Peptide competition assays to confirm specificity

    • Pre-adsorption of antibody with recombinant antigen

    • Secondary-only controls to rule out non-specific binding

    • Isotype controls to confirm specificity of binding

How can RNF130 antibodies be utilized in high-throughput screening approaches?

For high-throughput applications involving RNF130:

  • Automated immunofluorescence platforms:

    • Cell-based screening of compounds affecting RNF130 expression or localization

    • Use fluorophore-conjugated anti-RNF130 antibodies (488, 555, 647) for direct detection

    • Multiplex with anti-LDLR and other markers to study pathway interactions

    • Quantify using high-content imaging systems

  • ELISA-based screening:

    • Develop sandwich ELISA using capture and detection anti-RNF130 antibodies

    • Screen for compounds modulating RNF130 protein levels

    • Develop phospho-specific antibodies if regulatory phosphorylation sites are identified

  • Protein array applications:

    • Use purified RNF130 to identify novel binding partners

    • Employ anti-RNF130 antibodies to detect RNF130 in tissue or serum samples across large cohorts

    • Screen for autoantibodies against RNF130 in patient samples

What are the latest methodologies for studying RNF130's E3 ligase activity?

Advanced methods for investigating RNF130's E3 ligase function:

  • In vitro reconstituted ubiquitination systems:

    • Use purified components (E1, E2, RNF130, substrates like LDLR)

    • Monitor ubiquitin chain formation using anti-ubiquitin antibodies

    • Analyze chain topology (K48 vs. K63 linkages) using linkage-specific antibodies

    • Detect RNF130 auto-ubiquitination using anti-RNF130 antibodies

  • Proximity-based labeling approaches:

    • BioID or TurboID fusion with RNF130 to identify proximal proteins in living cells

    • APEX2 fusion for temporal control of proximity labeling

    • Use anti-RNF130 antibodies to verify expression of fusion proteins

  • Proteomic identification of substrates:

    • Stable isotope labeling with amino acids in cell culture (SILAC)

    • Tandem ubiquitin binding entities (TUBEs) to enrich ubiquitinated proteins

    • Compare ubiquitinomes in RNF130-overexpressing vs. RNF130-knockout models

    • Confirm findings using RNF130 antibodies in validation experiments

  • Fluorescence-based real-time assays:

    • FRET-based ubiquitination sensors

    • Live-cell imaging of fluorescently tagged RNF130 and substrates

    • Correlate with fixed-cell immunostaining using RNF130 antibodies

How might RNF130 antibodies contribute to potential therapeutic developments?

Potential therapeutic applications involving RNF130 antibodies:

  • Target validation:

    • Use RNF130 antibodies to confirm target engagement by small molecules

    • Monitor RNF130 expression changes in response to therapeutic interventions

    • Correlate RNF130 levels with LDLR expression and plasma LDL-C in clinical samples

  • Biomarker development:

    • Evaluate RNF130 as a potential biomarker for:

      • Lipid disorders

      • Esophageal adenocarcinoma progression

      • Other conditions where RNF130 is dysregulated

    • Develop standardized immunoassays suitable for clinical samples

  • Therapeutic antibody development pipeline:

    • Use research-grade antibodies to identify accessible epitopes

    • Develop neutralizing antibodies targeting the RING domain

    • Engineer antibody-drug conjugates targeting RNF130-expressing cells in disease contexts

    • Intrabodies targeting intracellular RNF130 (delivered via gene therapy approaches)

  • Monitoring therapeutic efficacy:

    • Track changes in RNF130 and LDLR expression during lipid-lowering therapy

    • Correlate with clinical outcomes in cardiovascular disease studies

    • Use in conjunction with plasma LDL-C measurements to assess treatment response

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