Epigallocatechin Gallate (EGCG) Modulates Senescent Endothelial Cell-Monocyte Communication in Age-Related Vascular Inflammation
RNA-seq (gene expression) · human · 12 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
- Homo sapiens (human)
- Samples
- 12 samples: 3 × ThP vs 3 × NT vs 3 × SEN vs 3 × STGroups 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
- Epigallocatechin gallate (EGCG) modulates senescent endothelial cell-monocyte communication in age-related vascular inflammationFrontiers in cardiovascular medicine · 2024
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE286438_RAW.tar (it can run to tens of gigabytes).
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.
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 PRJNA1209358 and SRA study SRP556653. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8727680 ThP rep 1 ThP
- GSM8727681 ThP rep 2 ThP
- GSM8727682 ThP rep 3 ThP
- GSM8727683 NT rep 1 NT
- GSM8727684 NT rep 2 NT
- GSM8727685 NT rep 3 NT
- GSM8727686 SEN rep 1 SEN
- GSM8727687 SEN rep 2 SEN
- GSM8727688 SEN rep 5 SEN
- GSM8727689 ST rep 1 ST
- GSM8727690 ST rep 2 ST
- GSM8727691 ST rep 5 ST
- GSE288484 Transcriptional network analysis of PTEN protein-deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication 197 samples shares communication, senescent
- GSE308252 Exercise intensity differentially modulates systemic molecular responses and predicted interorgan communication in humans 62 samples shares communication, modulates
- GSE305867 Effects of EGCG, resveratrol and their combination on gene expression 24 samples shares egcg
- GSE239664 scRNA-seq analysis of biopsy tissue from Interstitial Lung Disease patients who took EGCG 10 samples shares egcg
- GSE256433 Effect of EGCG to multiple myeloma MM.1S cells on gene expression 9 samples shares egcg
- GSE262073 A prospective, international, multisite comparison of platelet isolation techniques for genome-wide transcriptomics: Communication from the SSC of the ISTH 114 samples shares communication
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares communication
- GSE247369 Pathogenic TSC2 variants alter developmental trajectories of human cortical organoids and perturb cell-cell communication networks 92 samples shares communication
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.