Phosphatidylserine and RhoB connect phosphatidylinositol 4-phosphate and phosphatidic acid metabolism at the plasma membrane
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: 6 conditions, mostly in duplicateGroups 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
- Phosphatidylserine and RhoB connect phosphatidylinositol 4-phosphate and phosphatidic acid metabolism at the plasma membranebioRxiv : the preprint server for biology · 2025
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 GSE308521_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 PRJNA1330818 and SRA study SRP621936. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 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.
- GSM9247480 RPF_0min_rep1 RPF_0min
- GSM9247481 RPF_60min_rep1 RPF_60min
- GSM9247482 RPF_360min_rep1 RPF_360min
- GSM9247483 mRNA_0min_rep1 mRNA_0min
- GSM9247484 mRNA_60min_rep1 mRNA_60min
- GSM9247485 mRNA_360min_rep1 mRNA_360min
- GSM9247486 RPF_0min_rep2 RPF_0min
- GSM9247487 RPF_60min_rep2 RPF_60min
- GSM9247488 RPF_360min_rep2 RPF_360min
- GSM9247489 mRNA_0min_rep2 mRNA_0min
- GSM9247490 mRNA_60min_rep2 mRNA_60min
- GSM9247491 mRNA_360min_rep2 mRNA_360min
- GSE329207 Targeting phosphatidylserine for tumor cell suppression [RNA-seq] 12 samples shares phosphatidylserine
- GSE303723 Inactivation of phosphatidylinositol 4-kinase IIIalpha (PI4KA) by GSK-A1 inhibitor in HEK293 cells 6 samples shares phosphatidylinositol
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.