Hot products 
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Mouse Anti-BSN Recombinant Antibody (219E1) (CBMAB-1228-CN)
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Rat Anti-(1-5)-α-L-Arabinan Recombinant Antibody (V2-501861) (CBMAB-XB0003-YC)
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Mouse Anti-AAV8 Recombinant Antibody (V2-634028) (CBMAB-AP022LY)
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Mouse Anti-ALB Recombinant Antibody (V2-55272) (CBMAB-H0819-FY)
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Mouse Anti-AFDN Recombinant Antibody (V2-58751) (CBMAB-L0408-YJ)
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Mouse Anti-DISP2 Monoclonal Antibody (F66A4B1) (CBMAB-1112CQ)
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Rabbit Anti-BRCA2 Recombinant Antibody (D9S6V) (CBMAB-CP0017-LY)
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Rat Anti-ADGRE4 Recombinant Antibody (V2-160163) (CBMAB-F0011-CQ)
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Rabbit Anti-AKT2 (Phosphorylated S474) Recombinant Antibody (V2-556130) (PTM-CBMAB-0605LY)
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Mouse Anti-4-Hydroxynonenal Recombinant Antibody (V2-502280) (CBMAB-C1055-CN)
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Mouse Anti-BMI1 Recombinant Antibody (CBYC-P026) (CBMAB-P0108-YC)
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Mouse Anti-BAD (Phospho-Ser136) Recombinant Antibody (CBYY-0138) (CBMAB-0139-YY)
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Mouse Anti-DLC1 Recombinant Antibody (D1009) (CBMAB-D1009-YC)
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Mouse Anti-BRCA2 Recombinant Antibody (CBYY-1728) (CBMAB-2077-YY)
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Mouse Anti-APP Recombinant Antibody (5C2A1) (CBMAB-A3314-YC)
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Rabbit Anti-ENO2 Recombinant Antibody (BA0013) (CBMAB-0272CQ)
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Mouse Anti-C1QC Recombinant Antibody (CBFYC-0600) (CBMAB-C0654-FY)
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Mouse Anti-ARIH1 Recombinant Antibody (C-7) (CBMAB-A3563-YC)
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Mouse Anti-FN1 Monoclonal Antibody (71) (CBMAB-1241CQ)
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Mouse Anti-AKR1C3 Recombinant Antibody (V2-12560) (CBMAB-1050-CN)
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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