Hot products 
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Mouse Anti-ALDOA Recombinant Antibody (A2) (CBMAB-A2316-YC)
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Mouse Anti-CARTPT Recombinant Antibody (113612) (CBMAB-C2450-LY)
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Mouse Anti-F11R Recombinant Antibody (402) (CBMAB-0026-WJ)
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Mouse Anti-ACO2 Recombinant Antibody (V2-179329) (CBMAB-A0627-YC)
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Mouse Anti-AKT1 (Phosphorylated S473) Recombinant Antibody (V2-505430) (PTM-CBMAB-0067LY)
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Rabbit Anti-BRCA2 Recombinant Antibody (D9S6V) (CBMAB-CP0017-LY)
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Mouse Anti-ALPL Antibody (B4-78) (CBMAB-1009CQ)
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Mouse Anti-CCT6A/B Recombinant Antibody (CBXC-0168) (CBMAB-C5570-CQ)
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Mouse Anti-CASP8 Recombinant Antibody (CBYY-C0987) (CBMAB-C2424-YY)
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Mouse Anti-CFL1 Recombinant Antibody (CBFYC-1771) (CBMAB-C1833-FY)
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Mouse Anti-B2M Recombinant Antibody (CBYY-0050) (CBMAB-0050-YY)
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Mouse Anti-COL12A1 Recombinant Antibody (CBYY-C3117) (CBMAB-C4560-YY)
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Rabbit Anti-Acetyl-Histone H3 (Lys36) Recombinant Antibody (V2-623395) (CBMAB-CP0994-LY)
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Mouse Anti-AGK Recombinant Antibody (V2-258056) (CBMAB-M0989-FY)
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Mouse Anti-CCDC25 Recombinant Antibody (CBLC132-LY) (CBMAB-C9786-LY)
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Mouse Anti-EMP3 Recombinant Antibody (CBFYE-0100) (CBMAB-E0207-FY)
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Mouse Anti-DDC Recombinant Antibody (8E8) (CBMAB-0992-YC)
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Mouse Anti-CTCF Recombinant Antibody (CBFYC-2371) (CBMAB-C2443-FY)
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Mouse Anti-ASTN1 Recombinant Antibody (H-9) (CBMAB-1154-CN)
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Mouse Anti-AAV9 Recombinant Antibody (V2-634029) (CBMAB-AP023LY)
Cardiac & Cholesterol Markers
Creative Biolabs offers the most comprehensive list of recombinant antibody products used in the diagnostics of cardiac & cholesterol.
Cardiovascular diseases are increasing day by day due to over utilization of fats or due to genetic reasons. It is a leading cause of morbidity and mortality from infancy to old age. Therefore, an early identification and treatment of risk factors are much needed to accelerate disease prevention and morbidity improvement. Up to now, a number of physiological biomarkers based on serum lipid, glucose and hormone profile have been identified. They are associated with increased cardiovascular risk. Moreover, a variety of cardiovascular risk prediction models have been established and updated by incorporating traditional risk factors and molecular, immunological genetic, imaging, and biophysical factors for more authentic and reliable estimation or cardiovascular risk.
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