XAB2 (XPA-binding protein 2) is a multifunctional protein involved in transcription-coupled DNA repair (TCR) and pre-mRNA splicing . Antibodies targeting XAB2 are critical tools for studying its role in these processes, particularly in understanding its interactions with XPA (Xeroderma Pigmentosum group A protein) and spliceosome components . These antibodies enable researchers to detect endogenous XAB2 levels, map its cellular localization, and investigate its functional mechanisms in genomic stability and RNA processing.
XAB2 is a 90–95 kDa protein encoded by the XAB2 gene (also known as SYF1 or KIAA1177) and is conserved across eukaryotes . Key structural and functional features include:
Domain Organization: While the exact domain structure remains under study, XAB2 interacts with XPA through a central region critical for DNA repair .
Spliceosome Component: XAB2 is part of the spliceosome complex, facilitating pre-mRNA splicing by coordinating spliceosomal assembly .
DNA Repair Role: XAB2 binds XPA, a core nucleotide excision repair (NER) factor, to mediate transcription-coupled repair of DNA lesions .
XAB2 operates at the intersection of DNA repair and RNA splicing:
Transcription-Coupled Repair (TCR): XAB2 recruits repair factors to RNA polymerase II-stalled sites, resolving transcription-blocking DNA lesions .
Spliceosome Regulation: As a pre-mRNA splicing factor, XAB2 ensures proper spliceosome assembly and efficiency, impacting gene expression .
Disease Links: Mutations in XAB2 or its interactors are implicated in genomic instability disorders, though direct human pathologies are still under investigation .
Recent studies highlight XAB2’s diverse roles:
TFIIH Interaction: XAB2’s recruitment to DNA damage sites depends on TFIIH, a transcription/repair complex .
Knockdown Effects: Depleting XAB2 disrupts spliceosome activity and sensitizes cells to DNA-damaging agents, underscoring its dual functionality .
Therapeutic Potential: Targeting XAB2 could modulate spliceosome activity in cancers or enhance DNA repair in neurodegenerative diseases .
XAB2 antibodies (e.g., Thermo Fisher PA5-100368, Abcam ab248603) are validated for specificity and utility in key assays:
Mechanistic Studies: XAB2 antibodies are used to elucidate its role in TCR and spliceosome dynamics .
Disease Models: Investigated in cancer and neurodegeneration for links to defective DNA repair/splicing .
Biomarker Potential: XAB2 expression levels may correlate with therapeutic resistance in chemotherapy .
XPB, a subunit of the TFIIH complex, facilitates RNA polymerase II backtracking during TCR to allow access to DNA damage sites. Key methodologies include:
Chromatin immunoprecipitation (ChIP) to track XPB recruitment at UV-induced DNA lesions .
CRISPR knockouts in cell lines (e.g., ACH-2 or OM-10.1) to assess transcriptional arrest post-DNA damage .
Co-localization assays with antibodies against XPB and repair proteins (e.g., XPC, XPF) to study dynamic interactions .
Discrepancies in XPB degradation levels (e.g., 95% in OM-10.1 vs. 81% in ACH-2 cells) may arise from:
Pre-clearing lysates with protein A/G beads to reduce non-target interactions.
Validate antibody specificity using knockout cell lines (e.g., XPB-deficient fibroblasts) .
Competitive peptide assays with synthetic XPB epitopes (e.g., aa 800–C-terminal) to confirm signal loss .
Single-molecule RNA FISH to quantify HIV-1 transcriptional bursts after XPB inhibition .
Dose-response profiling with SP (IC₅₀ = 1.95 µM in ACH-2 cells) to correlate XPB degradation with viral capsid (p24) reduction .
Longitudinal RNA-seq to track splice variants in HIV-1 proviruses under XPB modulation .
Severe XPB mutations (e.g., C-terminal truncations) delay recruitment of XPF and XPD to UV damage sites, shown via:
Mild mutations (e.g., missense) partially retain repair function but reduce transcriptional fidelity .
Internal controls: Use housekeeping proteins (e.g., β-actin) for Western blot normalization .
Isotype controls: Rule out nonspecific IgG binding in flow cytometry or IP .
Damage induction controls: Include UV-irradiated vs. untreated cells in TCR studies .
Epitope mapping tools (e.g., PyMOL) to predict antibody-antigen binding sites (e.g., aa 800–C-terminal) .
Machine learning frameworks to analyze phage display data and optimize antibody specificity .