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WeightNameValue
1000 Titel
  • DNA sonication inverse PCR for genome scale analysis of uncharacterized flanking sequences
1000 Autor/in
  1. Alquezar, David |
  2. Löber, Ulrike |
  3. Cui, Pin |
  4. Quedenau, Claudia |
  5. Chen, Wei |
  6. Greenwood, Alex |
1000 Erscheinungsjahr 2020
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-22
1000 Erschienen in
1000 Quellenangabe
  • 21(1):182-195
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1111/2041-210X.13497 |
1000 Ergänzendes Material
  • https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13497#open-research-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • There are few available tools to comprehensively and economically identify uncharacterized flanking regions that are not extremely labour intensive and which exploit the advantages of emerging long-read sequencing platforms. We describe SIP; a sonication-based inverse PCR high-throughput sequencing strategy to investigate uncharacterized flanking region sequences, including those flanking mobile DNA. SIP combines unbiased fragmentation by sonication and target enrichment by coupling outward facing PCR priming with long-read sequencing technologies. We demonstrate the effectiveness of SIP by determining retroviral integrations which are high copy and challenging to characterize. We further describe SIP's workflow, examine retroviral (proviral) enrichment and characterize viral structural variants identified. When SIP was coupled with long-read sequencing using the PacBio RS II platform, proviral integration was extensively characterized at high sequence depth per integration. By interrogating the sequence data, we were also able to test several intrinsic factors including SIP's propensity to form chimeric sequences and adapter ligation efficiencies. SIP is an adaption of a traditional molecular biology technique that can be used to characterize any unknown genomic flanking sequence or to extend any sequence for which only minimal sequence information is available. SIP can be applied broadly to study complex biological systems such as mobile genetic elements with high throughput.
1000 Sacherschließung
lokal sonication
lokal uncharacterized flanking regions
lokal inverse PCR
lokal long-read sequencing
lokal KoRV
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-5360-5263|https://orcid.org/0000-0001-7468-9531|https://frl.publisso.de/adhoc/uri/Q3VpLCBQaW4=|https://frl.publisso.de/adhoc/uri/UXVlZGVuYXUsIENsYXVkaWE=|https://frl.publisso.de/adhoc/uri/Q2hlbiwgV2Vp|https://orcid.org/0000-0002-8249-1565
1000 Label
1000 Förderer
  1. Morris Animal Foundation |
  2. Deutscher Akademischer Austauschdienst |
1000 Fördernummer
  1. D14ZO‐94
  2. 2014 57129705
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Morris Animal Foundation |
    1000 Förderprogramm -
    1000 Fördernummer D14ZO‐94
  2. 1000 joinedFunding-child
    1000 Förderer Deutscher Akademischer Austauschdienst |
    1000 Förderprogramm -
    1000 Fördernummer 2014 57129705
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6426998.rdf
1000 Erstellt am 2021-04-21T13:31:36.831+0200
1000 Erstellt von 122
1000 beschreibt frl:6426998
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Wed Apr 21 13:32:43 CEST 2021
1000 Objekt bearb. Wed Apr 21 13:32:24 CEST 2021
1000 Vgl. frl:6426998
1000 Oai Id
  1. oai:frl.publisso.de:frl:6426998 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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