更正“形式遵循功能:核形态作为细胞衰老的可量化预测因子”

IF 7.8 1区 医学 Q1 Biochemistry, Genetics and Molecular Biology
Aging Cell Pub Date : 2025-04-16 DOI:10.1111/acel.70076
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引用次数: 0

摘要

Belhadj J, Surina S, Hengstschläger M, Lomakin AJ。形式服从功能:核形态作为细胞衰老的可量化预测因子。老化细胞。2023 Dec;22(12):e14012。文章的“OPEN RESEARCH”部分没有包括有关RNA-seq数据及其对更广泛社区的可用性的信息。我们希望通过更新“OPEN RESEARCH”部分的“数据可用性声明”来纠正这一遗漏:“本研究中使用的RNA-seq分析的原始数据已存入NCBI GEO公共数据库,登录号为GSE293637 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293637)。”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correction to “Form Follows Function: Nuclear Morphology as a Quantifiable Predictor of Cellular 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.

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来源期刊
Aging Cell
Aging Cell 生物-老年医学
CiteScore
14.40
自引率
2.60%
发文量
212
审稿时长
8 weeks
期刊介绍: Aging Cell, an Open Access journal, delves into fundamental aspects of aging biology. It comprehensively explores geroscience, emphasizing research on the mechanisms underlying the aging process and the connections between aging and age-related diseases.
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