Form follows function: Nuclear morphology as a quantifiable predictor of cellular senescence

Direct links to NCBI, no account and no request form: the whole study as GSE293637_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1245406 and SRA study SRP576053. Searching any of these in the dataset finder brings you back here.

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

• GSE284666 SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types 190 samples
• GSE272681 The cellular hierarchy of acute myeloid leukemia informs personalized treatment 108 samples
• GSE278688 Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC [scRNA-Seq] 29 samples
• GSE294272 Tumor-resident T cells and dendritic cells form an in situ archetype for immunotherapy response in melanoma [bulk RNA-seq] 29 samples
• GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
• GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples
• GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples
• GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples

Search all human RNA-seq datasets in GEO →