tfbm-1 Antibody

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Description

Potential Confusion with Related Antibodies

The term "tfbm-1" may represent a misidentification or a niche antibody not covered in the provided sources. Below are antibodies with similar naming conventions or functional roles that may warrant consideration:

TfR1-Targeting Antibodies

Transferrin receptor 1 (TfR1/CD71) is a key target for cancer immunotherapy due to its overexpression in malignant cells. Antibodies targeting TfR1 include:

  • TXB4: A shark-derived single-domain antibody (VNAR) engineered to enhance brain penetration by shuttling TrkB agonist antibodies across the blood-brain barrier .

  • Bispecific antibodies: Fusions of anti-TfR1 domains with therapeutic payloads (e.g., TrkB agonists) for targeted drug delivery .

AntibodyTargetMechanismApplication
TXB4TfR1Brain transcytosis via TfR1Neurodegenerative disease therapy
Anti-TfR1TfR1Iron deprivation or ADCP/ADCCCancer therapy

TIF1-γ Antibodies and Dermatomyositis

Anti-TIF1-γ (TRIM33) autoantibodies are strongly associated with dermatomyositis (DM) and cancer. Key findings:

  • Prognostic value: Anti-TIF1-γ positivity predicts cancer development within 3 years of DM diagnosis (88% vs. 63% in negatives) .

  • Longitudinal dynamics: Antibody levels correlate with cancer remission; remission often coincides with DM symptom resolution .

CohortAnti-TIF1-γ+ PatientsCancer DiagnosisAntibody Levels
Swedish/DM17/7988% within 3 yearsHigher at cancer diagnosis
Spanish/DM19/7988% within 3 yearsDecline post-treatment

PD-1/PD-L1 Antibodies in Cancer Immunotherapy

PD-1/PD-L1 inhibitors (e.g., nivolumab, pembrolizumab) enhance T-cell responses by blocking immune checkpoint signaling. Key outcomes:

  • Efficacy: High response rates in melanoma, NSCLC, and RCC .

  • Antidrug antibodies (ADAs): Atezolizumab shows higher ADA rates (29.6%) compared to nivolumab (11.2%) .

DrugTargetADA RateNeutralizing Antibodies (nAbs)
AtezolizumabPD-L129.6%High incidence
NivolumabPD-111.2%Moderate incidence

TGF-β Antibodies in Fibrosis and Cancer

TGF-β inhibitors neutralize all three isoforms (TGF-β1, -β2, -β3) to address fibrosis and tumor progression. Examples include:

  • XPA.42.681: A pan-TGF-β neutralizing antibody effective in xenograft models .

  • MAB240: Detects TGF-β1 in Western blots and ELISAs, with cross-reactivity to TGF-β3 .

AntibodyTarget IsoformsNeutralizationApplication
XPA.42.681TGF-β1/2/3Full inhibitionTumor growth suppression
MAB240TGF-β1Partial (TGF-β3)Diagnostic assays

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
tfbm-1 antibody; T03F1.7 antibody; Dimethyladenosine transferase 1 antibody; mitochondrial antibody; EC 2.1.1.- antibody; Mitochondrial 12S rRNA dimethylase 1 antibody; Mitochondrial transcription factor B1 antibody; S-adenosylmethionine-6-N' antibody; N'-adenosyl(rRNA) dimethyltransferase 1 antibody
Target Names
tfbm-1
Uniprot No.

Target Background

Function
This antibody targets a probable S-adenosyl-L-methionine-dependent methyltransferase. This enzyme specifically dimethylates mitochondrial 12S rRNA at the conserved stem loop. Additionally, it is required for basal transcription of mitochondrial DNA. Notably, it stimulates transcription independently of its methyltransferase activity.
Database Links
Protein Families
Class I-like SAM-binding methyltransferase superfamily, rRNA adenine N(6)-methyltransferase family, KsgA subfamily
Subcellular Location
Mitochondrion.

Q&A

Here’s a structured FAQ collection for researchers working with TRAF-1 antibodies (note: "tfbm-1" is likely a typographical variation of TRAF-1, a tumor necrosis factor receptor-associated factor), based on scientific rigor and methodological focus:

Advanced Research Questions

How to resolve discrepancies in TRAF-1 expression data across studies?

  • Troubleshooting framework:

    VariablePotential SolutionExample
    Cell type variabilityUse primary human hepatocytes (PHH) for consistencyPHH showed uniform CLDN1 expression in HCV studies
    Antibody lot variationRevalidate with recombinant protein standardsTRAF-1 antibody AF3276 tested across lots
    Post-translational modificationsTreat lysates with phosphatases/proteasesObserved in CLDN1 antibody validation

Can TRAF-1 antibodies distinguish between splice variants?

  • Experimental design:

    • Design siRNA targeting specific exons (e.g., exon 2 vs. exon 4).

    • Compare antibody binding in knockdown vs. wild-type cells using flow cytometry .

    • Cross-reference with RNA-seq data for isoform expression .

What strategies improve TRAF-1 antibody performance in co-immunoprecipitation (Co-IP)?

  • Optimization steps:

    • Use mild crosslinkers (e.g., DSP) to stabilize transient protein interactions.

    • Include TRAF-1-binding partners (e.g., CD40) as positive controls .

    • Validate with proximity ligation assays (PLA) for spatial resolution .

Data Contradiction Analysis

How to interpret conflicting TRAF-1 localization reports (cytoplasmic vs. membrane)?

  • Resolution workflow:

    • Fixation method: Compare methanol (-20°C) vs. paraformaldehyde (4%) fixation .

    • Epitope accessibility: Use epitope mapping (e.g., MUC1-CTD antibodies targeted specific 7-aa sequences ).

    • Subcellular fractionation: Isolate membrane/cytosolic fractions before Western blotting .

Methodological Innovations

Can computational modeling predict TRAF-1 antibody-antigen interactions?

  • ADAPT platform integration:

    • Use Assisted Design of Antibody and Protein Therapeutics (ADAPT) to simulate binding energy changes (e.g., ΔG) .

    • Validate predictions with alanine scanning mutagenesis .

Table: Key TRAF-1 Antibody Validation Parameters

ParameterOptimal ValueSupporting Study
Western blot dilution0.5 µg/mL in 5% nonfat milkRaji/Ramos cell validation
IHC incubation timeOvernight at 4°CCLDN1 antibody protocols
Flow cytometry bufferPBS + 1% FBS + 0.1% sodium azideTRBC1 staining optimization

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