Hot products 
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Mouse Anti-CD19 Recombinant Antibody (CBXC-1224) (CBMAB-C1491-CQ)
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Mouse Anti-AMIGO2 Recombinant Antibody (CBYY-C0756) (CBMAB-C2192-YY)
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Mouse Anti-CCS Recombinant Antibody (CBFYC-1093) (CBMAB-C1150-FY)
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Mouse Anti-DMPK Recombinant Antibody (CBYCD-324) (CBMAB-D1200-YC)
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Mouse Anti-ALX1 Recombinant Antibody (96k) (CBMAB-C0616-FY)
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Human Anti-SARS-CoV-2 Spike Recombinant Antibody (CR3022) (CBMAB-CR014LY)
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Mouse Anti-BIRC7 Recombinant Antibody (88C570) (CBMAB-L0261-YJ)
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Mouse Anti-ACE2 Recombinant Antibody (V2-179293) (CBMAB-A0566-YC)
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Mouse Anti-DMD Recombinant Antibody (D1190) (CBMAB-D1190-YC)
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Mouse Anti-CALR Recombinant Antibody (CBFYC-0763) (CBMAB-C0818-FY)
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Mouse Anti-DLC1 Recombinant Antibody (D1009) (CBMAB-D1009-YC)
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Rabbit Anti-DLK1 Recombinant Antibody (9D8) (CBMAB-D1061-YC)
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Mouse Anti-ARHGDIA Recombinant Antibody (CBCNA-009) (CBMAB-R0415-CN)
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Rabbit Anti-CBL Recombinant Antibody (D4E10) (CBMAB-CP0149-LY)
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Armenian hamster Anti-CD40 Recombinant Antibody (HM40-3) (CBMAB-C10365-LY)
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Mouse Anti-ADRB2 Recombinant Antibody (V2-180026) (CBMAB-A1420-YC)
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Mouse Anti-AP4E1 Recombinant Antibody (32) (CBMAB-A2996-YC)
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Mouse Anti-CFL1 (Phospho-Ser3) Recombinant Antibody (CBFYC-1770) (CBMAB-C1832-FY)
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Mouse Anti-AZGP1 Recombinant Antibody (CBWJZ-007) (CBMAB-Z0012-WJ)
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Mouse Anti-ADGRE5 Recombinant Antibody (V2-360335) (CBMAB-C2088-CQ)
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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