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	<title>AAV Archives - Touchlight</title>
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	<description>DNA is our DNA™</description>
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	<title>AAV Archives - Touchlight</title>
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		<title>The Future of DNA Production: Speed, Scalability, and Cell-Free Innovation</title>
		<link>https://touchlight.com/the-future-of-dna-production-speed-scalability-and-cell-free-innovation/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 13:41:14 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Article]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=5712</guid>

					<description><![CDATA[<p>As cell and gene therapy scales, DNA choice matters. Learn the advantages of cell‑free DNA vs pDNA in this Q&#038;A with Touchlight’s CSO.</p>
<p>The post <a href="https://touchlight.com/the-future-of-dna-production-speed-scalability-and-cell-free-innovation/">The Future of DNA Production: Speed, Scalability, and Cell-Free Innovation</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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					<div> AAV </div>, <div> DNA Vaccines </div>, <div> Gene editing </div>, <div> Lentivirus </div>, <div> mRNA </div>, <div> Non-viral gene therapy </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >The Future of DNA Production: Speed, Scalability, and Cell-Free Innovation</h1>
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				<div class="nectar-responsive-text nectar-link-underline-effect"><p data-pm-slice="1 1 &#091;&#093;">Cell and gene therapy has long relied on plasmid DNA (pDNA) to power clinical innovation. But cell‑free DNA is already in use, treating patients, and rapidly becoming established as a scalable, consistent, and cost‑efficient alternative. As manufacturing demands grow, developers are reassessing which DNA format best supports speed, reliability, and future‑proofing.</p>
<p>Download this Q&amp;A to get insights from Touchlight’s CSO Jill Makin, Ph.D., Chief Scientific Officer, on the advantages of cell-free DNA, and the considerations developers should make when selecting a platform.</p>
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<p>The post <a href="https://touchlight.com/the-future-of-dna-production-speed-scalability-and-cell-free-innovation/">The Future of DNA Production: Speed, Scalability, and Cell-Free Innovation</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>Unlocking AAV gene therapy cost of goods savings with dbDNA™: A comparative analysis with plasmid DNA</title>
		<link>https://touchlight.com/unlocking-aav-gene-therapy-cost-of-goods-savings-with-dbdna-a-comparative-analysis-with-plasmid-dna/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Wed, 11 Mar 2026 20:09:17 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Application Note]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=5584</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/unlocking-aav-gene-therapy-cost-of-goods-savings-with-dbdna-a-comparative-analysis-with-plasmid-dna/">Unlocking AAV gene therapy cost of goods savings with dbDNA™: A comparative analysis with plasmid DNA</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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					<div> AAV </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >Unlocking AAV gene therapy cost of goods savings with dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" />: A comparative analysis with plasmid DNA</h1>
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				<div class="nectar-responsive-text nectar-link-underline-effect"><p>This application note presents an independent cost-of-goods (COG) analysis conducted by Decisional Point Limited to evaluate the financial impact of switching from plasmid DNA (pDNA) to Touchlight’s enzymatically produced dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> for AAV manufacturing. Leveraging an established AAV bioprocess economic model, the study compares baseline COG for dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> versus pDNA and explores multiple scenario analyses, including dose size, GMP DNA cost, and transfection material requirements to assess their influence on total COG, COG per dose, and COG across key process steps.</p>
<p>The results demonstrate a significant reduction in manufacturing COG when using dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" />, highlighting meaningful potential savings for AAV gene therapy developers.</p>
<p>Download the application note to explore the complete analysis and findings.</p>
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<p>The post <a href="https://touchlight.com/unlocking-aav-gene-therapy-cost-of-goods-savings-with-dbdna-a-comparative-analysis-with-plasmid-dna/">Unlocking AAV gene therapy cost of goods savings with dbDNA™: A comparative analysis with plasmid DNA</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>The Great DNA Debate: Plasmid vs. Cell-Free DNA</title>
		<link>https://touchlight.com/the-great-dna-debate-plasmid-vs-cell-free-dna-2/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Tue, 10 Mar 2026 16:32:06 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Webinar]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=5576</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/the-great-dna-debate-plasmid-vs-cell-free-dna-2/">The Great DNA Debate: Plasmid vs. Cell-Free DNA</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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					<div> AAV </div>, <div> DNA Vaccines </div>, <div> Gene editing </div>, <div> Lentivirus </div>, <div> mRNA </div>, <div> Non-viral gene therapy </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >The Great DNA Debate: Plasmid vs. Cell-Free DNA</h1>
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				<div class="nectar-responsive-text nectar-link-underline-effect"><p>Plasmid DNA has long been the workhorse of cell and gene therapy — supporting countless clinical programs and enabling many of the field’s most important breakthroughs. At the same time, cell‑free DNA has already reached clinical use, where it is increasingly adopted to treat patients and now operates alongside plasmid DNA within today’s manufacturing landscape. How can companies optimize and select the right DNA technology to meet evolving demands for scale, consistency, speed, and cost of goods?</p>
<p>Download the webinar to watch as two leading DNA experts have a candid debate with real-world data exploring where plasmid DNA continues to excel, where cell-free DNA is uniquely positioned, and how both platforms will shape the future of the cell and gene therapy landscape.</p>
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			<div class="nectar-responsive-text nectar-link-underline-effect"><h4>Access the webinar here:</h4>
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<p>The post <a href="https://touchlight.com/the-great-dna-debate-plasmid-vs-cell-free-dna-2/">The Great DNA Debate: Plasmid vs. Cell-Free DNA</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>A Comparative Cost of Goods Analysis of dbDNA™ and Plasmid DNA For AAV Gene Therapy Manufacturing</title>
		<link>https://touchlight.com/a-comparative-cost-of-goods-analysis-of-dbdna-and-plasmid-dna-for-aav-gene-therapy-manufacturing/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Wed, 18 Feb 2026 19:27:54 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Poster]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=5518</guid>

					<description><![CDATA[<p>Unlock how dbDNA™ can reduce AAV gene therapy manufacturing costs and enhance efficiency. </p>
<p>The post <a href="https://touchlight.com/a-comparative-cost-of-goods-analysis-of-dbdna-and-plasmid-dna-for-aav-gene-therapy-manufacturing/">A Comparative Cost of Goods Analysis of dbDNA™ and Plasmid DNA For AAV Gene Therapy Manufacturing</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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					<div> AAV </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >A Comparative Cost of Goods Analysis of dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> and Plasmid DNA For AAV Gene Therapy Manufacturing</h1>
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	<p>Touchlight’s dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> can enable significant cost savings for AAV gene therapy developers, accelerating the drive towards more cost-effective AAV gene therapies. An independent analysis conducted by Decisional Points Limited revealed that switching from pDNA to dbDNA without transfection process optimisation, reduced CoGs per dose by 14%. Further CoGs savings beyond those modelled in this study could be achieved when switching to dbDNA due to the elimination of the need for bacterial MCB manufacture and efficiencies in downstream processing due to improvements in % full capsids.​</p>
<p style="text-align: center;"><em><strong>Download the poster to see the full cost savings analysis.</strong></em></p>
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			<div class="nectar-responsive-text nectar-link-underline-effect"><h4>Download the poster here:</h4>
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<p>The post <a href="https://touchlight.com/a-comparative-cost-of-goods-analysis-of-dbdna-and-plasmid-dna-for-aav-gene-therapy-manufacturing/">A Comparative Cost of Goods Analysis of dbDNA™ and Plasmid DNA For AAV Gene Therapy Manufacturing</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>How AI Assisted Bioprocessing Can Transform Biotech</title>
		<link>https://touchlight.com/how-ai-assisted-bioprocessing-can-transform-biotech/</link>
		
		<dc:creator><![CDATA[Caitlin Magee]]></dc:creator>
		<pubDate>Thu, 18 Dec 2025 16:00:29 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=5357</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/how-ai-assisted-bioprocessing-can-transform-biotech/">How AI Assisted Bioprocessing Can Transform Biotech</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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	<h1 style="text-align: center;">How AI Assisted Bioprocessing Can Transform Biotech</h1>
<p>&nbsp;</p>
<p><span data-contrast="auto">Biotechnology is evolving, but some methods haven’t caught up. Slow experiments, costly materials, and outdated assumptions are holding back innovation. As demand grows for faster, smarter, and more scalable processes, the industry is turning to Artificial Intelligence (AI), modelling, and data-driven strategies to break through the bottlenecks. From regulatory shifts to machine learning breakthroughs, it’s time to rethink how </span>AI assisted bioprocessing can help<span data-contrast="auto"> build the future of biotech.</span><span data-ccp-props="{}"> </span></p>
<h3><span data-contrast="none">Old Methods: Slow, Costly, Limited</span><span data-ccp-props="{}"> </span></h3>
<p><span data-contrast="auto">The industry relies on statistical methods to improve biological systems, but traditional approaches like Design of Experiments (DoE) and one-factor-at-a-time experiments are often slow and resource-heavy. Limited data and high material costs make these methods less effective, especially when scaling new modalities.</span><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="auto">To meet growing demands for faster development and scalable processes, both regulators and industry leaders are turning to data-driven decision-making. The <a href="https://www.fda.gov/regulatory-information/search-fda-guidance-documents/considerations-use-artificial-intelligence-support-regulatory-decision-making-drug-and-biological" target="_blank" rel="noopener">FDA’s 2025 draft guidance on AI</a> highlights the need for model transparency and risk awareness in regulated environments.</span><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="auto">Despite its promise, AI and Machine Learning (ML) are often misunderstood. One myth is that they require massive datasets, when in fact, data quality is just as important. Another is that one model fits all, but the best approach depends on the data, process complexity, and specific goals.</span><span data-ccp-props="{}"> </span></p>
<h3 aria-level="2"><span data-contrast="none">AI in MSAT: Predict, Optimise, Scale</span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}"> </span></h3>
<p><span data-contrast="auto">Manufacturing Science and Technology (MSAT) teams are increasingly using AI and modelling tools to improve bioprocess efficiency. Techniques like ML, Bayesian optimisation, together with empirical models help predict outcomes, reduce lab work, and support scale-up. Their uses include:</span><span data-ccp-props="{}"> </span></p>
<ul>
<li aria-setsize="-1" data-leveltext="-" data-font="Aptos" data-listid="4" data-list-defn-props="{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="0" data-aria-level="1"><span data-contrast="auto"><strong>ML models:</strong> Predict DNA-based therapeutic yield using only the sequence, replacing wet lab experiments and modality-based heuristics.</span><span data-ccp-props="{}"> </span></li>
</ul>
<ul>
<li aria-setsize="-1" data-leveltext="-" data-font="Aptos" data-listid="4" data-list-defn-props="{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><strong>Bayesian optimisation (using Gaussian Processes):</strong> Identifies optimal restriction digest conditions with far fewer experiments than traditional DoE, saving time and costly reagents.</span><span data-ccp-props="{}"> </span></li>
</ul>
<ul>
<li aria-setsize="-1" data-leveltext="-" data-font="Aptos" data-listid="4" data-list-defn-props="{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><strong>Empirical models:</strong> Translate lab observations into predictive tools for scale-up using power-law models for viscosity or concentration and polarisation models for TFF flux prediction.</span><span data-ccp-props="{}"> </span></li>
</ul>
<h3 aria-level="2"><span data-contrast="none">Touchlight’s Approach: Flexible, Predictive, Proven</span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}"> </span></h3>
<p><span data-contrast="auto">Touchlight manufactures DNA, from discovery to GMP, to support the <a href="https://touchlight.com/leading-the-way-in-cell-free-dna/" target="_blank" rel="noopener">development of genetic medicines</a>. One of our challenges is predicting how long each step in the process will take. Since our operations run on a fixed working day, accurate timing is essential for scheduling.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}"> </span></p>
<p><span data-contrast="auto">A critical step of our process involves tangential flow filtration (TFF) using hollow fiber membranes. These membranes are ideal for processing DNA, but the time it takes to run a batch can vary depending on factors like membrane size, dimensions, DNA concentration, and shear rate.</span><span data-ccp-props="{}"> </span></p>
<p><span data-contrast="auto">To improve predictability, we have developed a hybrid model that combines physics with machine learning:</span><span data-ccp-props="{}"> </span></p>
<ul>
<li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><strong>Mechanistic Model:</strong> The core of the model is based on mass transfer theory, incorporating concentration polarisation effects to describe solute transport through the membrane. This layer captures the fundamental physics governing flux behaviour, influenced by shear rate, membrane dimensions, and solute concentration gradients.</span><span data-ccp-props="{}"> </span></li>
</ul>
<ul>
<li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><strong>Discrepancy Modelling:</strong> While mechanistic models offer valuable insight, they may fail to capture all real-world effects.  To overcome this, we implemented a Gaussian Process (GP) model to learn the discrepancy between theoretical predictions and observed data. This discrepancy model captures residual behaviours not accounted for by the mass transfer framework, such as non-ideal flow patterns, membrane fouling, or subtle interactions between operating parameters.</span><span data-ccp-props="{}"> </span></li>
</ul>
<h3 aria-level="3"><span data-contrast="none">Advantages Over Traditional Approaches</span><span data-ccp-props="{&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:160,&quot;335559739&quot;:80}"> </span></h3>
<ul>
<li><span data-contrast="auto"><strong>Enhanced Predictive Accuracy:</strong> By correcting for model bias, hybrid models outperform purely mechanistic or empirical approaches in real-world scenarios.</span><span data-ccp-props="{}"> </span></li>
<li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto"><strong>Generalisation across scales:</strong> The mechanistic layer supports extrapolation to new equipment and scales, while the GP model adapts to specific operational contexts.</span><span data-ccp-props="{}"> </span></li>
</ul>
<ul>
<li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:&#091;8226&#093;,&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto"><strong>Uncertainty quantification:</strong> GP modelling enables probabilistic predictions, supporting risk-aware decision-making and robust scheduling.</span><span data-ccp-props="{}"> </span></li>
</ul>
<p><span data-contrast="auto">By combining these approaches, we can accurately predict processing times across different scales and equipment setups. This enables more efficient process design, improved planning, and accelerated delivery, ultimately helping genetic medicines reach patients faster.</span><br />
<span data-ccp-props="{}"> </span></p>
<p style="text-align: center;"><b><i><span data-contrast="auto">Want</span></i></b><b><i><span data-contrast="auto"> to fast-</span></i></b><b><i><span data-contrast="auto">track your project with cell-free DNA? </span></i></b><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}"> </span></p>
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<p>The post <a href="https://touchlight.com/how-ai-assisted-bioprocessing-can-transform-biotech/">How AI Assisted Bioprocessing Can Transform Biotech</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>Nanopore sequencing purity assessment of AAV genomes produced using dbDNA™</title>
		<link>https://touchlight.com/nanopore-sequencing-purity-assessment-of-aav-genomes-produced-using-dbdna/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Tue, 30 Sep 2025 14:58:23 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Poster]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=4824</guid>

					<description><![CDATA[<p>Touchlight’s dbDNA™ enables fast, scalable GMP-grade AAV production with fewer impurities and no bacterial sequences, confirmed by nanopore sequencing.</p>
<p>The post <a href="https://touchlight.com/nanopore-sequencing-purity-assessment-of-aav-genomes-produced-using-dbdna/">Nanopore sequencing purity assessment of AAV genomes produced using dbDNA™</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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					<div> AAV </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >Nanopore sequencing purity assessment of AAV genomes produced using dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /></h1>
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	<p>Recombinant adeno-associated virus (rAAV) clinical translation remains constrained by significant manufacturing and safety challenges. One approach to address these limitations is to substitute the <i>E. coli </i>derived plasmid DNA with cell-free DNA. Touchlight’s linear dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" />, an enzymatically amplified DNA construct, offers rapid, scalable generation of GMP-grade material in a fraction of the time of conventional plasmid DNA. dbDNA lacks bacterial sequences, making it an ideal DNA template for AAV production. To characterise the purity and quality of dbDNA-derived AAV vectors and plasmid-derived AAV vectors, nanopore sequencing was employed to profile the encapsidated DNA. Successful packaging of the ITR-to-ITR AAV genome using dbDNA was confirmed. Furthermore, the dbDNA-derived AAV population contained significantly fewer process- and product-related DNA impurities. While the reverse packaged plasmid sequences contained the antibiotic resistance and bacterial replication cassette, reverse packaged dbDNA comprised short inert stuffer sequences. Thus, dbDNA offers safety advantages over plasmid as an AAV template. Illumina sequencing confirmed full length ITRs are maintained during the production of dbDNA. Nanopore ITR characterisation of AAV genomes revealed high levels of intact ITRs in both dbDNA- and plasmid-derived AAV preparations. The dbDNA-derived AAV vectors contained lower levels of partial genomes compared to plasmid-derived AAV vectors. Thus, the high vector batch quality and low DNA impurity levels observed in dbDNA-produced AAVs further support their enhanced safety profile.</p>
<p style="text-align: center;"><em><strong>Download the full poster to explore the complete capabilities of dbDNA.</strong></em></p>
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<p>The post <a href="https://touchlight.com/nanopore-sequencing-purity-assessment-of-aav-genomes-produced-using-dbdna/">Nanopore sequencing purity assessment of AAV genomes produced using dbDNA™</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>dbDNA™: The Future of AAV Production </title>
		<link>https://touchlight.com/dbdna-the-future-of-aav-production/</link>
		
		<dc:creator><![CDATA[Caitlin Magee]]></dc:creator>
		<pubDate>Tue, 23 Sep 2025 11:43:00 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Blog]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=4621</guid>

					<description><![CDATA[<p>dbDNA™: The Future of AAV Production &#160; Recombinant adeno-associated virus (AAV) is one of the most promising delivery vehicles for genetic medicines, offering potential to treat a range of previously...</p>
<p>The post <a href="https://touchlight.com/dbdna-the-future-of-aav-production/">dbDNA™: The Future of AAV Production </a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1 style="text-align: center;" aria-level="1">dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" />: The Future of AAV Production</h1>
<p>&nbsp;</p>
<p><span data-contrast="auto">Recombinant adeno-associated virus (AAV) is one of the most promising <a href="https://touchlight.com/enzymatic-dna-for-aav-production/">delivery vehicles for genetic medicines</a>, offering potential to treat a range of previously untreatable diseases. With hundreds of AAV-based therapies progressing through clinical trials, the demand for high-quality DNA starting material is high. But today’s AAV production still relies on plasmid DNA (pDNA), which brings with it challenges that slow progress and limit scalability.</span></p>
<p><span data-contrast="auto">In this blog, we take a closer look at the limitations of pDNA and explain how our dbDNA provides a promising alternative.</span><span data-ccp-props="{}"> </span></p>
<h3 aria-level="3">The challenges of plasmid-based AAV production</h3>
<p><span data-contrast="auto">Today, the most common approach to manufacturing AAV is the co-transfection of HEK293 cells with three separate plasmids: one carrying the </span><i><span data-contrast="auto">Rep</span></i><span data-contrast="auto"> and </span><i><span data-contrast="auto">Cap</span></i><span data-contrast="auto"> genes for viral replication and capsid proteins, another providing adenoviral helper functions, and a third containing the therapeutic transgene flanked by <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC7047122/">inverted terminal repeats</a> (ITRs). This system has been the gold standard of AAV research for years, but when it comes to clinical and commercial manufacturing, using pDNA introduces limitations.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>Limited scalability</h4>
<p><span data-contrast="auto">pDNA is produced in</span><i><span data-contrast="auto"> E. coli </span></i><span data-contrast="auto">through bacterial fermentation, a process that is slow, expensive, resource-intensive and difficult to scale. Producing GMP-grade pDNA can take 10-12 months, as complex fermentation, purification and quality control steps all add time. With demand for AAV vectors rising rapidly, this lengthy production cycle is a serious bottleneck for the gene therapy field.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>Poor fidelity</h4>
<p><span data-contrast="auto">ITRs form cruciform secondary structures that are difficult to maintain in </span><i><span data-contrast="auto">E. coli</span></i><span data-contrast="auto">. During plasmid propagation, this structural instability can lead to deletions or rearrangements within the ITR regions, generating heterogeneous plasmid preparations. Compromised ITR integrity reduces the efficiency of viral rescue and packaging, resulting in lower and less consistent AAV yields.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>Risk of antibiotic resistance</h4>
<p><span data-contrast="auto">Because plasmids rely on antibiotic resistance markers for selection in bacterial systems, transfected plasmids can contain backbone sequences encoding antibiotic resistance genes. Plasmid-derived bacterial sequences are known to be inadvertently packaged into AAV capsids at frequencies ranging from 1-5%, and in some cases as high as 26%. This poses obvious safety concerns, as it risks transferring resistance traits. It also raises serious regulatory red flags, creating more hurdles for developers trying to move studies forward.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>High manufacturing costs</h4>
<p><span data-contrast="auto">On top of these issues, plasmid production in </span><i><span data-contrast="auto">E. coli</span></i><span data-contrast="auto"> is expensive – most of the cost comes from time in GMP suites, specialist equipment, and the labour of highly trained staff. This reliance on resource-heavy facilities makes it difficult to expand capacity and to meet the growing demand for AAV vectors.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h3 aria-level="3">The solution: dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /></h3>
<p><span data-contrast="auto">At Touchlight, we’ve developed an </span><a href="https://touchlight.com/applications/aav/"><span data-contrast="none">advanced cell-free DNA technology platform</span></a><span data-contrast="auto"> that addresses the bottlenecks of plasmid-based AAV production. Our process is entirely </span><i><span data-contrast="auto">in vitro</span></i><span data-contrast="auto"> and produces high-fidelity, covalently closed, linear DNA constructs, known as dbDNA. </span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<p><span data-contrast="auto">Unlike pDNA, dbDNA is generated without bacteria and relies solely on enzymes. The process begins with a circular, double-stranded DNA molecule containing the sequence of interest, flanked by short protelomerase recognition sites. This template is amplified by Phi29 DNA polymerase through rolling circle amplification, producing concatemeric repeats of the construct with high fidelity. A protelomerase then cleaves and covalently closes the ends to generate monomeric, linear dbDNA. Residual bacterial backbone is removed by restriction digest and exonuclease, leaving only the dbDNA sequence of interest.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<p><span data-contrast="auto">The resulting dbDNA offers several advantages for AAV production.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4 aria-level="4">Superior purity and safety</h4>
<p><span data-contrast="auto">dbDNA contains no bacterial backbone, meaning no antibiotic resistance genes and no risk of them being carried into AAV particles. The result is a high-purity DNA construct, free from unwanted genetic sequences that raise regulatory concerns and delay clinical development.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4 aria-level="4">Faster timelines and scalable manufacturing</h4>
<p><span data-contrast="auto">Because dbDNA is made entirely </span><i><span data-contrast="auto">in vitro</span></i><span data-contrast="auto">, it does not require large fermentation facilities or complex bacterial processes, which makes scaling simpler and less expensive. And with GMP-quality dbDNA produced in 2 weeks instead of the 10–12 months often needed for plasmids, it offers a faster, more economical way to meet growing demand.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>Stable and consistent</h4>
<p><span data-contrast="auto">dbDNA can amplify complex sequences with high fidelity, ensuring that ITRs remain stable. This eliminates the heterogeneity often seen in plasmid preparations, and stable ITRs in turn support more efficient replication and reliable packaging into viral particles.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h4>Greater efficiency</h4>
<p><span data-contrast="auto">dbDNA requires significantly less starting material to achieve equivalent or greater AAV titres compared with plasmids. In fact, dbDNA uses around 40% less DNA per transfection while delivering a more than two-fold increase in the proportion of full capsids. This “copy advantage” reduces input costs while supporting higher overall efficiency in vector production.</span><span data-ccp-props="{&quot;335559738&quot;:240,&quot;335559739&quot;:240}"> </span></p>
<h3 aria-level="3">Summary</h3>
<p><span data-contrast="auto">As gene therapy continues to advance, the limitations of plasmid-based AAV production threaten to slow progress and restrict patient access to life-changing treatments. Our dbDNA offers a way forward. By providing a faster, safer and more scalable source of DNA, dbDNA has the potential to resolve many of the major challenges facing AAV manufacturing. For the field of genetic medicine, this technology has the potential to transform how therapies are made and bring life-changing treatments to patients sooner.</span></p>
<p style="text-align: center;"><em><strong>Ready to bring your therapy to patients faster? <a href="https://touchlight.com/doggybone-dna-an-advanced-platform-for-aav-production/">Download our whitepaper</a> and see how dbDNA AAV production streamlines your journey to the clinic.</strong></em></p>
<p>The post <a href="https://touchlight.com/dbdna-the-future-of-aav-production/">dbDNA™: The Future of AAV Production </a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>Cell-Free DNA for AAV production</title>
		<link>https://touchlight.com/enzymatic-dna-for-aav-production/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Mon, 07 Jul 2025 17:26:20 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Product Brief]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=3766</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/enzymatic-dna-for-aav-production/">Cell-Free DNA for AAV production</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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					<div> AAV </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >Cell-Free DNA for AAV production</h1>
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<p data-start="56" data-end="431">Replacing plasmid DNA with enzymatically produced DNA in your AAV production eliminates many issues around complex or unstable sequences, purity, speed to manufacture, safety and scalability.</p>
<p data-start="56" data-end="431">Many biotech and pharma companies focused on advanced therapies are taking advantage of enzymatic DNA to deliver rapid AAV production using less DNA.</p>
<p>&nbsp;</p>
<p><strong>Download the product brief to explore the data.</strong></p>
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<p>The post <a href="https://touchlight.com/enzymatic-dna-for-aav-production/">Cell-Free DNA for AAV production</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>Leveraging Synthetic DNA in AAV Manufacturing to Increase Efficiency</title>
		<link>https://touchlight.com/leveraging-synthetic-dna-in-aav-manufacturing-to-increase-efficiency/</link>
		
		<dc:creator><![CDATA[Alexandria Salam]]></dc:creator>
		<pubDate>Wed, 02 Jul 2025 19:45:06 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[Poster]]></category>
		<guid isPermaLink="false">https://touchlight.com/?p=3751</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/leveraging-synthetic-dna-in-aav-manufacturing-to-increase-efficiency/">Leveraging Synthetic DNA in AAV Manufacturing to Increase Efficiency</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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					<div> AAV </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >Leveraging Synthetic DNA in AAV Manufacturing to Increase Efficiency</h1>
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    </div><div class="nectar-responsive-text nectar-link-underline-effect"><p>Discover how synthetic, backbone-free DNA offers a safer, scalable alternative to traditional plasmid DNA for AAV production, addressing key challenges in transfection efficiency, cost, and impurity control.</p>
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<p>The post <a href="https://touchlight.com/leveraging-synthetic-dna-in-aav-manufacturing-to-increase-efficiency/">Leveraging Synthetic DNA in AAV Manufacturing to Increase Efficiency</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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		<title>Addressing pDNA challenges in large-scale manufacturing of rAAV and rLV</title>
		<link>https://touchlight.com/addressing-pdna-challenges-in-large-scale-manufacturing-of-raav-and-rlv/</link>
		
		<dc:creator><![CDATA[Caitlin Magee]]></dc:creator>
		<pubDate>Mon, 30 Jun 2025 18:03:58 +0000</pubDate>
				<category><![CDATA[Resources]]></category>
		<category><![CDATA[White paper]]></category>
		<guid isPermaLink="false">https://touchlight.upthere.studio/?p=3434</guid>

					<description><![CDATA[<p>The post <a href="https://touchlight.com/addressing-pdna-challenges-in-large-scale-manufacturing-of-raav-and-rlv/">Addressing pDNA challenges in large-scale manufacturing of rAAV and rLV</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
]]></description>
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			<div class="rt-readtime">5 mins</div>
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					<div> AAV </div>, <div> Lentivirus </div>				</div>
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<h1 style="font-size: 48px;color: #0e2145;line-height: 1.3;text-align: left" class="vc_custom_heading vc_do_custom_heading" >Addressing pDNA challenges in large-scale manufacturing of rAAV and rLV</h1>
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				<div class="nectar-responsive-text nectar-link-underline-effect"><p>As gene therapy accelerates, the demand for scalable viral vector manufacturing has never been greater. Yet traditional plasmid DNA (pDNA) remains a limiting factor, slowed by scalability challenges, bacterial contamination risks, and regulatory constraints.</p>
<p>Discover how <strong>Touchlight’s <a href="https://touchlight.com/technology/dbdna/">dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /></a></strong>, a cell-free alternative to pDNA, is breaking through these bottlenecks.</p>
<p><strong>In this whitepaper, you’ll learn:</strong></p>
<ul>
<li>How dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> eliminates bacterial sequences and antibiotic resistance genes to streamline regulatory compliance</li>
<li>Why dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> enhances production efficiency for rAAV and rLV vectors</li>
<li>Real-world data comparing yields, reagent usage, and vector quality against pDNA workflows</li>
<li>How dbDNA<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> supports large-scale, safe, and scalable vector manufacturing for evolving clinical needs</li>
</ul>
<p>Whether you’re troubleshooting upstream challenges or planning for commercial-scale production, this whitepaper offers the insights you need to move faster and go further.</p>
<p><strong>Download the whitepaper to explore the data.</strong></p>
<p><!--EndFragment --></p>
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<p>The post <a href="https://touchlight.com/addressing-pdna-challenges-in-large-scale-manufacturing-of-raav-and-rlv/">Addressing pDNA challenges in large-scale manufacturing of rAAV and rLV</a> appeared first on <a href="https://touchlight.com">Touchlight</a>.</p>
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