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[DESCRIPTION]
This is the synthesis protocol using the&nbsp;HiScribe&trade;&nbsp;T7 Quick High Yield RNA Synthesis Kit (E2050)

[BEFORE_START]
We strongly recommend wearing gloves and using nuclease-free tubes and reagents to avoid RNase contamination. Reactions are typically 20 &mu;l but can be scaled up as needed. Reactions should be assembled in nuclease-free microfuge tubes or PCR strip tubes.

[GUIDELINES]
We strongly recommend wearing gloves and using nuclease-free tubes and reagents to avoid RNase contamination. Reactions are typically 20 &mu;l but can be scaled up as needed. Reactions should be assembled in nuclease-free microfuge tubes or PCR strip tubes.<br /><br />Reaction time depends on template amount, quality and RNA transcript length. For reactions with transcripts longer than 0.3 kb, 2 hour incubation should give you the maximum yield.&nbsp;For reaction times of 60 minutes or less, a water bath or heating block may be used; for reaction times longer than 60 minutes, we recommend using a dry air incubator or a thermocycler to prevent evaporation of the sample.<br /><br />For reactions with short RNA transcripts (&lt; 0.3 kb), we recommend an incubation time of 4 hours or longer. It is safe to incubate the reaction for 16 hours (overnight). For example, we have achieved good yield with only 0.2 &mu;g plasmid template encoding a 50-mer RNA by incubating the reaction overnight at 37&deg;C.<br /><br />Reaction set up for short transcripts (&lt; 0.3 kb):<br /><table><tbody><tr><td>Nuclease-free water&nbsp;</td><td>X &micro;l</td></tr><tr><td>NTP Buffer Mix</td><td>10 &micro;l (6.7 mM each NTP final)</td></tr><tr><td>Template DNA</td><td>X &micro;l (1&nbsp;&micro;g)</td></tr><tr><td>T7 RNA Polymerase Mix</td><td>2 &micro;l</td></tr><tr><td>Total reaction volume</td><td>30 &micro;l&nbsp;</td></tr></tbody></table><br />Compared to the standard reaction, this reaction uses 10 &mu;l more water. The volume of NTP Buffer Mix and T7 RNA Polymerase Mix, however, remains the same. The kit contains sufficient materials for 50 reactions.<br /><br />Note that the amount of NTP Buffer Mix in a standard 20 &mu;l reaction can vary from 2 to 10 &mu;l. The final yield is proportional to the amount of input nucleotides, meaning that the nucleotide incorporation efficiency remains the same when different amounts of NTP are used. Figure 1 shows the time course of standard RNA synthesis from 1 &mu;g control DNA template coding for a 1.8 kb RNA transcript with the HiScribe T7 Quick Kit using 10 &mu;l and 5 &mu;l NTP Buffer Mix in a 20 &mu;l reaction.&nbsp;<br /><img 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' alt='' /><br /><strong>Figure 1. RNA synthesis with different amounts of NTP.</strong><br /><em>Reactions were incubated at 37&deg;C in a thermocycler. Transcripts were purified by&nbsp;spin columns and quantified on a NanoDrop&trade; Spectrophotometer.</em>

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