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Integrated RNA, translation, and proteome profiling reveals midbody remnants as selectively organized signaling vesicles

GSE305263 Homo sapiens (human) RNA-seq (gene expression) 42 samples Submitted 2026/08/04 Platform GPL20301Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 42 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
42 samples: 14 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
This study investigates the differences in mRNA payloads between midbody remnants (MBRs) and whole cell of origin for six cell types, in order to determine type-specific and common enriched genes in MBRs. RNA-seq was performed by the Skop lab for all six cell types. Ribo-seq was performed by the Iwasaki lab on one of the cell types to assess translational differences. Data include raw FASTQ files, processed count tables, and metadata describing each sample.
This dataset
Open GSE305263 in finder → Find more human 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 GSE305263_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 PRJNA1304953. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
14 conditions, mostly in triplicate
human_esc_cell_rna ×3 human_esc_mbr_rna ×3 human_hela_cell_rna ×3 human_hela_mbr_rna ×3 human_hepg2_cell_rna ×3 human_hepg2_mbr_rna ×3 human_ipsc_cell_rna ×3 human_ipsc_mbr_rna ×3 +6 more

Supports a between-group comparison across 42 samples.

How we read this: 14 replicated groups read from 42 sample titles; they account for 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

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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.