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Thank you for your protocol.Triglyceride Reagent A (sigma#337-40A)...
PE
Park Eunjung Apr 15, 2013
Thank you for your protocol.
Triglyceride Reagent A (sigma#337-40A) was discontinued, and another TG reagent is sigma#T2449.
Accoding to your protocol, reagent is used 1ml per sample.
But, new TG reagent (sigma#T2449) accoding to instructions in sigma homephage can 10m Read more
Triglyceride Reagent A (sigma#337-40A) was discontinued, and another TG reagent is sigma#T2449.
Accoding to your protocol, reagent is used 1ml per sample.
But, new TG reagent (sigma#T2449) accoding to instructions in sigma homephage can 10m Read more
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Hani Jouihan Author Answered Apr 17, 2013
Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine, USA
Hi Park
Since I did not use Sigma's new replacement product, I can't precisely tell you what to use.
However, you can optimize the assay according to your needs by keeping the ratio of sample: reagents at a constant. this way, you can reduce the total assay volume (let's say from 1000ul to 200 ul) by dividing all reagents and sample volumes by 5. this will keep the actual ratios among reactants constant, despite the reduction in assay total volume.
Like any newly introduce change in experiments, it is advisable that you test few different times before you reach a reproducible result. As long as you always have your standard included in each run, you should be OK in terms of extrapolating your experimental values.
Since I did not use Sigma's new replacement product, I can't precisely tell you what to use.
However, you can optimize the assay according to your needs by keeping the ratio of sample: reagents at a constant. this way, you can reduce the total assay volume (let's say from 1000ul to 200 ul) by dividing all reagents and sample volumes by 5. this will keep the actual ratios among reactants constant, despite the reduction in assay total volume.
Like any newly introduce change in experiments, it is advisable that you test few different times before you reach a reproducible result. As long as you always have your standard included in each run, you should be OK in terms of extrapolating your experimental values.
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