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doi:10.22028/D291-35529
Titel: | Prospect and challenge of detecting dynamic gene copy number increases in stem cells by whole genome sequencing |
VerfasserIn: | Fischer, Ulrike Backes, Christina Fehlmann, Tobias Galata, Valentina Keller, Andreas Meese, Eckart |
Sprache: | Englisch |
Titel: | Journal of Molecular Medicine |
Bandnummer: | 97 |
Heft: | 8 |
Seiten: | 1099–1111 |
Verlag/Plattform: | Springer Nature |
Erscheinungsjahr: | 2019 |
Freie Schlagwörter: | WGS Gene amplification Neural stem cel CDK4 SHANK3 |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Gene amplification is an evolutionarily well-conserved and highly efficient mechanism to increase the amount of specific proteins. In humans, gene amplification is a hallmark of cancer and has recently been found during stem cell differentiation. Amplifications in stem cells are restricted to specific tissue areas and time windows, rendering their detection difficult. Here, we report on the performance of deep WGS sequencing (average 82-fold depth of coverage) on the BGISEQ with nanoball technology to detect amplifications in human mesenchymal and neural stem cells. As reference technology, we applied arraybased comparative genomic hybridization (aCGH), fluorescence in situ hybridization (FISH), and qPCR. Using different in silico strategies for amplification detection, we analyzed the potential of WGS for amplification detection. Our results provide evidence that WGS accurately identifies changes of the copy number profiles in human stem cell differentiation. However, the identified changes are not in all cases consistent between WGS and aCGH. The results between WGS and the validation by qPCR were concordant in 83.3% of all tested 36 cases. In sum, both genome-wide techniques, aCGH and WGS, have unique advantages and specific challenges, calling for locus-specific confirmation by the low-throughput approaches qPCR or FISH. |
DOI der Erstveröffentlichung: | 10.1007/s00109-019-01792-y |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-355294 hdl:20.500.11880/32427 http://dx.doi.org/10.22028/D291-35529 |
ISSN: | 1432-1440 0946-2716 |
Datum des Eintrags: | 22-Feb-2022 |
Bezeichnung des in Beziehung stehenden Objekts: | Electronic supplementary material |
In Beziehung stehendes Objekt: | https://static-content.springer.com/esm/art%3A10.1007%2Fs00109-019-01792-y/MediaObjects/109_2019_1792_MOESM1_ESM.pdf |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Humangenetik M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professur: | M - Univ.-Prof. Dr. Andreas Keller M - Prof. Dr. Eckhart Meese |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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Fischer2019_Article_ProspectAndChallengeOfDetectin.pdf | 4,14 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons