TPI1 antibody is a research tool designed to detect and study triosephosphate isomerase 1 (TPI1), a key glycolytic enzyme catalyzing the interconversion of dihydroxyacetone phosphate (DHAP) and glyceraldehyde-3-phosphate (G3P). This enzyme is implicated in cancer progression, metabolic regulation, and cellular stress responses . Antibodies targeting TPI1 enable researchers to investigate its expression, localization, and functional roles in diseases such as breast cancer , lung adenocarcinoma , and pancreatic ductal adenocarcinoma .
Cancer Biology:
TPI1 overexpression correlates with poor prognosis in breast cancer (BRCA) and lung adenocarcinoma (LUAD). Antibodies confirmed elevated TPI1 levels in tumor tissues via Western blot (WB) and immunohistochemistry (IHC) .
Nuclear translocation of TPI1 under chemotherapy-induced stress promotes chemoresistance in LUAD, demonstrated using immunofluorescence (IF) .
Metabolic Regulation:
Proteintech #10713-1-AP:
CST #34088:
High TPI1 expression in tumor tissues (e.g., BRCA, LUAD) is linked to advanced clinical stages and shorter disease-free survival .
IHC-based TPI1 quantification serves as a potential biomarker for cancer aggressiveness .
Knockdown of TPI1 reduces xenograft tumor growth and metastasis in LUAD models .
Ubiquitin-mediated degradation of TPI1 via P62 interaction offers a novel therapeutic strategy for BRCA .
Antibody Specificity: Cross-reactivity with TPI1 homologs in non-human species requires careful validation .
Functional Complexity: TPI1’s non-catalytic roles (e.g., nuclear signaling) warrant further mechanistic studies .
Therapeutic Challenges: Targeting TPI1 without disrupting glycolysis in normal tissues remains unresolved .
Here’s a structured collection of FAQs tailored for academic researchers investigating TPI-1 antibody applications, synthesized from peer-reviewed studies and technical data:
Approach:
Conduct multi-omics integration (e.g., RNA-seq + proteomics) to identify context-dependent interactors (e.g., IL-1α/IL-6 signaling in CRC vs. syphilis-related cardiolipin responses) .
Use syngeneic vs. xenograft models to dissect tumor-microenvironment crosstalk (e.g., CD8+/Treg dynamics in CMT-93 tumors) .
Recommendations:
Strategy:
Solution:
Identified biomarkers: