By Application
Hot products 
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Mouse Anti-ATP1B3 Recombinant Antibody (1E9) (CBMAB-A4021-YC)
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Mouse Anti-C1QC Recombinant Antibody (CBFYC-0600) (CBMAB-C0654-FY)
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Mouse Anti-ADRB2 Recombinant Antibody (V2-180026) (CBMAB-A1420-YC)
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Mouse Anti-GGT1 Recombinant Antibody (1F9) (CBMAB-G3273-LY)
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Rat Anti-CD34 Recombinant Antibody (MEC 14.7) (CBMAB-C10196-LY)
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Rat Anti-CD63 Recombinant Antibody (7G4.2E8) (CBMAB-C8725-LY)
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Mouse Anti-DLC1 Recombinant Antibody (D1009) (CBMAB-D1009-YC)
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Mouse Anti-AKT1/AKT2/AKT3 (Phosphorylated T308, T309, T305) Recombinant Antibody (V2-443454) (PTM-CBMAB-0030YC)
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Mouse Anti-G6PD Recombinant Antibody (13B331) (CBMAB-G1553-LY)
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Mouse Anti-GST Recombinant Antibody (CBLG1-1938) (CBMAB-G5371-LY)
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Mouse Anti-FPR2 Recombinant Antibody (1D6) (CBMAB-F2628-CQ)
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Mouse Anti-ALDOA Recombinant Antibody (A2) (CBMAB-A2316-YC)
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Mouse Anti-DMD Recombinant Antibody (D1190) (CBMAB-D1190-YC)
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Mouse Anti-ADAM12 Recombinant Antibody (V2-179752) (CBMAB-A1114-YC)
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Mouse Anti-ADV Recombinant Antibody (V2-503423) (CBMAB-V208-1364-FY)
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Rat Anti-4-1BB Recombinant Antibody (V2-1558) (CBMAB-0953-LY)
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Mouse Anti-GFAP Recombinant Antibody (24) (CBMAB-G2927-LY)
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Mouse Anti-CD46 Recombinant Antibody (CBFYC-0076) (CBMAB-C0085-FY)
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Mouse Anti-AMACR Recombinant Antibody (CB34A) (CBMAB-CA034LY)
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Mouse Anti-ACTN4 Recombinant Antibody (V2-6075) (CBMAB-0020CQ)
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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