2022
DOI: 10.1021/acssynbio.1c00482
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Combinatorial PCR Method for Efficient, Selective Oligo Retrieval from Complex Oligo Pools

Abstract: With the rapidly decreasing cost of array-based oligo synthesis, large-scale oligo pools offer significant benefits for advanced applications including gene synthesis, CRISPR-based gene editing, and DNA data storage. The selective retrieval of specific oligos from these complex pools traditionally uses polymerase chain reaction (PCR). Designing a large number of primers to use in PCR presents a serious challenge, particularly for DNA data storage, where the size of an oligo pool is orders of magnitude larger t… Show more

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Cited by 15 publications
(6 citation statements)
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“…Nonetheless, primer-based addressing systems face several constraints. First, the incorporation of random-access priming regions into each oligo decreases the available space for data-encoding bases, thereby also decreasing the storage density (currently by about 15% per address region). , Second, PCR-based random access irreversibly removes oligos from the pool, which necessitates potentially lossy reamplification of the entire pool after repeated data retrieval. , Moreover, as pool sizes and, thus, the number of sequences, become larger, the enrichment of a few copies against an ever-increasing background will at some point hit the limitations of PCR regarding processing volumes, required amplification cycles to obtain sufficient enrichment, and nonspecific amplification due to primer–payload similarity. , Indeed, data retrieval from a hierarchical addressing system of 5.5 TB required additional physical separation of pools via a biotin-based bead extraction between file accesses to fully remove the background carried over from PCR . Lastly, PCR-based addressing is incompatible with common storage approaches, thus necessitating the removal and re-embedding of the encoding DNA into the storage matrix for each random-access operation.…”
Section: Sequence-based Dna Data Storage Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Nonetheless, primer-based addressing systems face several constraints. First, the incorporation of random-access priming regions into each oligo decreases the available space for data-encoding bases, thereby also decreasing the storage density (currently by about 15% per address region). , Second, PCR-based random access irreversibly removes oligos from the pool, which necessitates potentially lossy reamplification of the entire pool after repeated data retrieval. , Moreover, as pool sizes and, thus, the number of sequences, become larger, the enrichment of a few copies against an ever-increasing background will at some point hit the limitations of PCR regarding processing volumes, required amplification cycles to obtain sufficient enrichment, and nonspecific amplification due to primer–payload similarity. , Indeed, data retrieval from a hierarchical addressing system of 5.5 TB required additional physical separation of pools via a biotin-based bead extraction between file accesses to fully remove the background carried over from PCR . Lastly, PCR-based addressing is incompatible with common storage approaches, thus necessitating the removal and re-embedding of the encoding DNA into the storage matrix for each random-access operation.…”
Section: Sequence-based Dna Data Storage Methodsmentioning
confidence: 99%
“… 75 , 76 Moreover, as pool sizes and, thus, the number of sequences, become larger, the enrichment of a few copies against an ever-increasing background will at some point hit the limitations of PCR regarding processing volumes, required amplification cycles to obtain sufficient enrichment, and nonspecific amplification due to primer–payload similarity. 77 , 70 Indeed, data retrieval from a hierarchical addressing system of 5.5 TB required additional physical separation of pools via a biotin-based bead extraction between file accesses to fully remove the background carried over from PCR. 71 Lastly, PCR-based addressing is incompatible with common storage approaches, thus necessitating the removal and re-embedding of the encoding DNA into the storage matrix for each random-access operation.…”
Section: Sequence-based Dna Data Storage Methodsmentioning
confidence: 99%
“…There are a variety of methods to implement such operations, but two popular methods are PCR 3,13,14 and DNA pull-out with magnetic nanoparticles 15 (Figure 9).…”
Section: Retrieval: Probes For Storage Operationsmentioning
confidence: 99%
“…However, it is often necessary to retrieve only a small amount of data. Prior work has achieved this by assuming an object-based get/put interface to DNA storage and relying on the use of PCR for achieving random access of individual objects [9], [34]. The central idea is to associate a distinct pair of short DNA sequence, also called primers, to all oligos belonging to each distinct object.…”
Section: B Errors Due To Random Accessmentioning
confidence: 99%
“…However, there has been limited work on systematically quantifying coverage bias introduced by PCR-based random access [34]. In practical archival scenarios, objects stored tend to have widely varying sizes.…”
Section: B Errors Due To Random Accessmentioning
confidence: 99%