PAPS1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
PAPS1 antibody; At1g17980 antibody; F2H15.20 antibody; Nuclear poly(A) polymerase 1 antibody; PAP(I) antibody; Poly(A) polymerase I antibody; EC 2.7.7.19 antibody; Polynucleotide adenylyltransferase 1 antibody
Target Names
PAPS1
Uniprot No.

Target Background

Function
PAPS1 is an essential protein that functions as a polymerase, responsible for creating the 3'-poly(A) tail of messenger RNA (mRNA). This tail is crucial for mRNA stability and translation. PAPS1 also plays a role in the endoribonucleolytic cleavage reaction at certain polyadenylation sites. Its specificity is often acquired through interaction with a cleavage and polyadenylation specificity factor (CPSF) at its C-terminus.
Gene References Into Functions
  1. Recent research has uncovered two novel functions of PAPS1 in ribosome biogenesis and redox homeostasis. PMID: 26305463
  2. Furthermore, PAPS1 has been implicated in the connection between organ identity and growth patterns. PMID: 24372773
Database Links

KEGG: ath:AT1G17980

STRING: 3702.AT1G17980.1

UniGene: At.26787

Protein Families
Poly(A) polymerase family
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in stems, cotyledons, hypocotyls, radicle, leaves, and, to a lower extent, in roots (including primary and secondary roots as well as root tips) and flowers. In radicle, roots and leaves, mainly present in vascular tissues.

Q&A

FAQs for Researchers Investigating APS1 Autoantibodies
APS1 (Autoimmune Polyendocrine Syndrome Type 1) autoantibodies are critical tools for understanding autoimmune pathogenesis and developing diagnostic/therapeutic strategies. Below are research-focused FAQs addressing methodological and analytical challenges, based on peer-reviewed studies ( ).

Advanced Research Questions

How can researchers resolve contradictions between PhIP-Seq and protein microarray data?

Discrepancies often arise from:

  • Epitope representation: PhIP-Seq detects linear epitopes, while microarrays identify conformational ones.

  • Normalization: Use Z-score thresholds (e.g., >10-fold enrichment vs. controls) to reduce false positives in PhIP-Seq.

  • Orthogonal validation: Combine PhIP-Seq with RLBA or immunohistochemistry (IHC) to confirm tissue-specific reactivity ( ).

What experimental designs improve the clinical translatability of APS1 autoantibody studies?

  • Cohort stratification: Group patients by clinical manifestations (e.g., ovarian insufficiency vs. enamel defects) to identify autoantibody-disease subsets.

  • Longitudinal sampling: Track autoantibody titers pre- and post-symptom onset to establish causality.

  • Functional assays: Use opsonophagocytic killing or complement activation assays to assess pathogenicity ( ).

How can multi-omics data enhance autoantigen discovery?

Integrate PhIP-Seq with:

  • Single-cell RNA-seq: Identify autoantigens expressed in disease-relevant cell types (e.g., enteroendocrine cells for RFX6).

  • GWAS: Overlap autoantigen loci with genetic risk variants (e.g., AIRE mutations in APS1).

  • Proteomics: Validate protein expression in target tissues using mass spectrometry ( ).

Data Contradiction Analysis

Example: PhIP-Seq identifies RFX6 as an autoantigen, but RLBA shows weak reactivity.
Resolution:

  • Epitope masking: RLBA uses full-length proteins, which may hide linear epitopes.

  • Post-translational modifications: PhIP-Seq peptides lack PTMs critical for antibody binding.

  • Solution: Use peptide arrays or mutagenesis to map conformational vs. linear epitopes ( ).

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