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Targeting senescence induced by age or chemotherapy with a polyphenol-rich natural extract improves longevity and healthspan in mice

GSE266005 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/05/01 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
20 samples: 5 × CTRL_Male vs 5 × CTRL_Female vs 5 × HK_Male vs 5 × HF_FemaleGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Targeting senescence induced by age or chemotherapy with a polyphenol-rich natural extract improves longevity and healthspan in miceNature aging · 2024
Summary (written by the submitters)
The accumulation of senescent cells within tissues contributes to age-related diseases through the senescence-associated secretory phenotype (SASP). To fight senescence and maintain a healthy tissue microenvironment, the quest for longevity-promoting compounds has resulted in promising discoveries from botanical sources.
Read the full summary ↓
Here we show that daily administration with a low dose of Haenkenium (HK), a standardized extract of Salvia haenkei, extended the lifespan and healthspan of aged C57BL/6 mice by delaying senescence and consequently ameliorating systemic inflammation and fibrosis markers in multiple tissues including skin, muscle, cartilage, and kidney. Additionally, treated aged mice displayed increased muscle strength, vitality, and thicker fur coverage than age-matched controls. Notably, HK treatment also effectively reduced doxorubicin (Doxo)-induced senescence in p16LUC reporter mice and protected against Doxo-induced cardiotoxicity. The composition of HK was analyzed by UPLC-QTOF-MS, which revealed multiple polyphenols that were then screened for their putative anti-senescence activity in vitro. Among these, luteolin, luteolin- 7-O-glucuronide and 3,4-dicaffeoylquinic were identified as HK-derived constituents with comparable activity to HK. Mechanistically, we report that luteolin could disrupt the p16-CDK6 interaction, which was validated by surface plasmon resonance (SPR) and by in situ proximity ligation assay in vitro. Our findings suggest that phytoconstituents such as luteolin can alter the senescence phenotype by disrupting the activity of p16 which subsequently is associated with improved longevity in mice.
Published in
Targeting senescence induced by age or chemotherapy with a polyphenol-rich natural extract improves longevity and healthspan in mice
Zumerle S, Sarill M, Saponaro M et al. · Nature aging 2024 · PMID 38951692 · doi:10.1038/s43587-024-00663-7
This dataset
Open GSE266005 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE266005_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1105119 and SRA study SRP504305. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38951692) ↗
Study design
5 × CTRL_Male vs 5 × CTRL_Female vs 5 × HK_Male vs 5 × HF_Female

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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