2016
DOI: 10.1002/bit.25990
|View full text |Cite
|
Sign up to set email alerts
|

Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time

Abstract: The most striking characteristic of CHO cells is their adaptability, which enables efficient production of proteins as well as growth under a variety of culture conditions, but also results in genomic and phenotypic instability. To investigate the relative contribution of genomic and epigenetic modifications towards phenotype evolution, comprehensive genome and epigenome data are presented for six related CHO cell lines, both in response to perturbations (different culture conditions and media as well as selec… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

9
170
1

Year Published

2017
2017
2019
2019

Publication Types

Select...
3
3

Relationship

3
3

Authors

Journals

citations
Cited by 116 publications
(180 citation statements)
references
References 65 publications
(77 reference statements)
9
170
1
Order By: Relevance
“…Thus, efforts to define the chromatin states of genes and their regulatory units were error-prone [Feichtinger et al, 2016]. We therefore recalculated the chromatin states for the PICR assembly using the ChiPSeq-derived histone mark reads obtained by Feichtinger et al, (2016).…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…Thus, efforts to define the chromatin states of genes and their regulatory units were error-prone [Feichtinger et al, 2016]. We therefore recalculated the chromatin states for the PICR assembly using the ChiPSeq-derived histone mark reads obtained by Feichtinger et al, (2016).…”
Section: Resultsmentioning
confidence: 99%
“…We called variants from whole-genome resequencing data for 13 representative resequenced CHO cell lines [Lewis et al, 2013], [Feichtinger et al, 2016] to identify genes that have newly discovered mutations in the RefSeq coding gaps. Each sample has ~300 mutations in coding gaps, 90% of which are SNPs (Supplementary Table S7).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations