TITLE: No Title
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[DESCRIPTION]
This is the protocol for the Gibson Assembly using the&nbsp;Gibson Assembly&reg; Master Mix (E2611).

[GUIDELINES]
<strong>Optimal Quantities<br /><br /></strong>NEB recommends a total of 0.02&ndash;0.5 pmols of DNA fragments when 1 or 2 fragments are being assembled into a vector and 0.2&ndash;1.0 pmoles of DNA fragments when 4&ndash;6 fragments are being assembled. Efficiency of assembly decreases as the number or length of fragments increases. To calculate the number of pmols of each fragment for optimal assembly, based on fragment length and weight, we recommend using NEB's online tool, <a href='http://nebiocalculator.neb.com/#!/' target='_blank'>NEBioCalculator</a> , or using the following formula:<br /><br />pmols = (weight in ng) x 1,000 / (base pairs x 650 daltons)<br /><br />50 ng of 5000 bp dsDNA is about 0.015 pmols.<br /><br />50 ng of 500 bp dsDNA is about 0.15 pmols.<br /><br />The mass of each fragment can be measured using the NanoDrop instrument, absorbance at 260 nm or estimated from agarose gel electrophoresis followed by ethidium bromide staining.<br /><br />Optimized cloning efficiency is 50&ndash;100 ng of vectors with 2&ndash;3 fold of excess inserts. Use 5 times more of inserts if size is less than 200 bps. Total volume of unpurified PCR fragments in Gibson Assembly reaction should not exceed 20%.<br /><strong>--------------------------------------------<br />OVERVEW:</strong><br /><strong><br /></strong>Gibson Assembly was developed by Dr. Daniel Gibson and his colleagues at&nbsp;the J. Craig Venter Institute and licensed to NEB by Synthetic Genomics, Inc. It&nbsp;allows for successful assembly of multiple DNA fragments, regardless of fragment&nbsp;length or end compatibility. It has been rapidly adopted by the synthetic&nbsp;biology community due to its ease-of-use, flexibility and suitability for large DNA&nbsp;constructs.<br /><br />Gibson Assembly efficiently joins multiple overlapping DNA fragments in a&nbsp;single-tube isothermal reaction (1,2). The Gibson Assembly Master Mix includes&nbsp;three different enzymatic activities that perform in a single buffer:&nbsp;<br /><ul style='list-style-type: circle;'><li>The exonuclease creates single-stranded 3&acute; overhangs that facilitate the annealing of fragments that share complementarity at one end (overlap region).</li><li>The proprietary DNA polymerase fills in gaps within each annealed fragment.&nbsp;</li><li>The DNA ligase seals nicks in the assembled DNA.</li></ul><br />The end result is a double-stranded fully sealed DNA molecule that can serve&nbsp;as template for PCR, RCA or a variety of other molecular biology applications,&nbsp;including direct transformation. The method has been successfully used by Gibson&rsquo;s&nbsp;group and others to assemble oligonucleotides, DNA with varied overlaps&nbsp;(15&ndash;80 bp) and fragments hundreds of kilobases long (1&ndash;2).<br /><strong><strong><br />Overview of the Gibson Assembly Cloning Method<br /><img 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' alt='' /><br /><br /></strong>Overview of Gibson Assembly Master Mix Protocol:&nbsp;<strong><br /></strong></strong><ul style='list-style-type: circle;'><li><span style='font-size: 13px;'>Design primers to amplify fragments (and/or vector) with appropriate&nbsp;overlaps</span></li><li><span style='font-size: 13px;'>PCR amplify fragments using a high-fidelity DNA polymerase.&nbsp;</span></li><li><span style='font-size: 13px;'>Prepare linearized vector by PCR amplification using a high-fidelity DNA polymerase or by restriction digestion.</span></li><li><span style='font-size: 13px;'>Confirm and determine concentration of fragments and linearized vector using agarose gel electrophoresis, a NanoDrop&trade; instrument or other method.</span></li><li><span style='font-size: 13px;'>Add fragments and linearized vector to Gibson Assembly Master Mix&nbsp;and incubate at 50&deg;C for 15 minutes to 1 hour, depending on number of&nbsp;fragments being assembled.</span></li><li><span style='font-size: 13px;'>Transform into <em>E. coli</em> or use directly in&nbsp;other applications.</span></li></ul><strong>------------------------------------<br />NOTES:<br /><br />1.</strong> <strong>General Notes:<br /></strong>We highly recommend using our web tool,&nbsp;<a href='http://nebuilder.neb.com/' target='_blank'>NEBuilder&reg;</a>&nbsp;to design PCR primers with overlapping sequences between the adjacent DNA fragments and for their assembly into a cloning vector.<br /><br />2. <strong>Usage notes:</strong><br /><br />To ensure the successful assembly and subsequent transformation of assembled DNAs, NEB recommends the following:<br /><br /><ul style='list-style-type: circle;'><li><em>Cells</em>: Transformation efficiency of competent cells can vary by several logs. Perceived assembly efficiency directly correlates to the competence of the cells used for transformation.</li><li><em>Electroporation</em>: Electroporation can increase transformation efficiency by several logs. When using the Gibson Assembly Master Mix product for electroporation, it is necessary to dilute the reaction 3-fold and use 1 &mu;l for transformation.</li><li><em>DNA</em>: PCR product purification is not necessary if the total volume of all&nbsp;PCR products in the Gibson Assembly reaction is 20% or less of the Gibson&nbsp;Assembly reaction volume. Higher volumes of PCR products may reduce&nbsp;the efficiency of Gibson Assembly and transformation due to the elevated&nbsp;carryover amounts of PCR reaction buffer and unused primers present in&nbsp;the PCR product. Column purification of PCR products may increase the&nbsp;efficiency of both Gibson Assembly and transformation by 2&ndash;10 fold and&nbsp;is highly recommended when performing assemblies of three or more&nbsp;PCR fragments or assembling longer than 5 kb fragments. Purified DNA&nbsp;for assembly can be dissolved in ddH2O (Milli-Q&reg; water or equivalent is&nbsp;preferable), TE or other dilution buffers.</li><li><em>Insert</em>: When directly assembling fragments into a cloning vector, the concentration of assembly fragments should be 2&ndash;3 times higher than the concentration of vector.&nbsp;<strong>For assembly of 3 or more fragments, we recommend using equilmolar ratio of fragments.</strong></li><li><em>Biology</em>: Some DNA structures, including inverted and tandem repeats, are selected against byE. coli. Some recombinant proteins are not well tolerated by&nbsp;E. coli&nbsp;and can result in poor transformation or small colonies.</li></ul><br /><strong>REFERENCES:</strong><br />1. Gibson, D.G. et.al. (2009). Nature Methods. 343-345.<br />2. Gibson, D.G. et al. (2010). Nature Methods. 901-903.<br />3. Barnes, W.M. (1994). Proc. Natl. Acad. Sci.. 91, 2216-220.<strong><br /></strong>

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