2018
DOI: 10.1016/j.molcel.2018.03.030
|View full text |Cite
|
Sign up to set email alerts
|

HMGB2 Loss upon Senescence Entry Disrupts Genomic Organization and Induces CTCF Clustering across Cell Types

Abstract: Processes like cellular senescence are characterized by complex events giving rise to heterogeneous cell populations. However, the early molecular events driving this cascade remain elusive. We hypothesized that senescence entry is triggered by an early disruption of the cells' three-dimensional (3D) genome organization. To test this, we combined Hi-C, single-cell and population transcriptomics, imaging, and in silico modeling of three distinct cells types entering senescence. Genes involved in DNA conformatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

36
208
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
3
2
2

Relationship

2
5

Authors

Journals

citations
Cited by 185 publications
(270 citation statements)
references
References 72 publications
36
208
2
Order By: Relevance
“…In situ Hi-C data from SA1-/SA2-AID HTC116 cells were generated as described previously (Zirkel et al 2018) in two biological replicates each. Resulting DNA libraries were paired-end sequenced to ~300 million read pairs each on a HiSeq4000 platform (Illumina).…”
Section: Hi-c Sample Preparation Sequencing and Data Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In situ Hi-C data from SA1-/SA2-AID HTC116 cells were generated as described previously (Zirkel et al 2018) in two biological replicates each. Resulting DNA libraries were paired-end sequenced to ~300 million read pairs each on a HiSeq4000 platform (Illumina).…”
Section: Hi-c Sample Preparation Sequencing and Data Analysismentioning
confidence: 99%
“…Compartment analysis was performed using the first principal component of the Hi-C matrices as described ) and TAD boundaries were identified using default setting in (Kruse et al 2016). Binarization and matrix subtractions were performed as previously described (Zirkel et al 2018) and custom scripts are available on request. For plotting insulation heatmaps and averaged loop profiles, normalized interactions values in the twenty 10-kbp bins around each SA1 or SA2 peak were added up, normalized to the median value in each matrix and plotted provided the local maxima are higher than the third quantile of all Hi-C data in the matrix.…”
Section: Hi-c Sample Preparation Sequencing and Data Analysismentioning
confidence: 99%
“…We generated stable doxycycline-inducible iPSCs overexpressing equal levels of HA-tagged wt and mut-CHD6 via random genomic integrations of each ORF using a piggybac vector (as in ref. 37; Fig. 4c).…”
Section: Mutated Chd6 Fails To Recruit Co-factors and Activate Autophmentioning
confidence: 90%
“…3k,l). Finally, we could detect hallmarks of a senescence-like phenotype in cells carrying mutant CHD6 alleles, most likely due to damage accumulation 36,37 . The presence of mutCHD6 coincided with reduced levels of H3K27me3-marked heterochromatin ( Fig.…”
Section: Chd6 Mutation Leads To Impaired Autophagy and Increased Dna mentioning
confidence: 94%
See 1 more Smart Citation