Please use this identifier to cite or link to this item: doi:10.22028/D291-35529
Title: Prospect and challenge of detecting dynamic gene copy number increases in stem cells by whole genome sequencing
Author(s): Fischer, Ulrike
Backes, Christina
Fehlmann, Tobias
Galata, Valentina
Keller, Andreas
Meese, Eckart
Language: English
Title: Journal of Molecular Medicine
Volume: 97
Issue: 8
Pages: 1099–1111
Publisher/Platform: Springer Nature
Year of Publication: 2019
Free key words: WGS
Gene amplification
Neural stem cel
CDK4
SHANK3
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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 of the first publication: 10.1007/s00109-019-01792-y
Link to this record: 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
Date of registration: 22-Feb-2022
Description of the related object: Electronic supplementary material
Related object: https://static-content.springer.com/esm/art%3A10.1007%2Fs00109-019-01792-y/MediaObjects/109_2019_1792_MOESM1_ESM.pdf
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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