Correction to “Form Follows Function: Nuclear Morphology as a Quantifiable Predictor of Cellular Senescence”

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTelomeres, Telomerase, and Senescence
Belhadj J, Surina S, Hengstschläger M, Lomakin AJ. Form follows function: Nuclear morphology as a quantifiable predictor of cellular senescence. Aging Cell. 2023 Dec;22(12):e14012.
The “OPEN RESEARCH” section of the article did not include information regarding the RNA‐seq data and its availability to the wider community. We would like to correct this omission by updating the “DATA AVAILABILITY STATEMENT” in the “OPEN RESEARCH” section with the following:
“The raw data for the RNA‐seq analysis used in this study have been deposited in the NCBI GEO public database under accession number GSE293637 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293637).”
We apologize for this omission.
