Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 2]
RNA-seq (gene expression) · human · 131 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
- 131 samples: 59 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
- Systematic characterization of the composition and dynamics of processing body-associated mRNAsNature communications · 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 GSE279284_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 PRJNA1171810 and SRA study SRP537962. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 61 samples read as cases, 8 as controls.
How we read this: 59 replicated groups read from 131 sample titles; they account for 122 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.
- GSM8565741 Nanopore_HCT116_induced_APOBEC1-DDX6_LSM14A-ADAR2dd
- GSM8565742 Nanopore_HEK293T_induced_APOBEC1-DDX6_LSM14A-ADAR2dd
- GSM8565743 HCT116_DDX6-KO_polysome-1 HCT116_DDX6-KO_polysome
- GSM8565744 HCT116_DDX6-KO_polysome-2 HCT116_DDX6-KO_polysome
- GSM8565745 HCT116_DDX6-KO_total-1 HCT116_DDX6-KO_total
- GSM8565746 HCT116_DDX6-KO_total-2 HCT116_DDX6-KO_total
- GSM8565747 HCT116_induced_4E-T-ADAR2dd-1 HCT116_induced_4E-T-ADA…
- GSM8565748 HCT116_induced_4E-T-ADAR2dd-2 HCT116_induced_4E-T-ADA…
- GSM8565749 HCT116_induced_4E-T-APOBEC1-1 HCT116_induced_4E-T-APO…
- GSM8565750 HCT116_induced_4E-T-APOBEC1-2 HCT116_induced_4E-T-APO…
- GSM8565751 HCT116_induced_ADAR2dd-4E-T-1 HCT116_induced_ADAR2dd-…
- GSM8565752 HCT116_induced_ADAR2dd-4E-T-2 HCT116_induced_ADAR2dd-…
- GSM8565753 HCT116_induced_ADAR2dd-control-1 HCT116_induced_ADAR2dd-…
- GSM8565754 HCT116_induced_ADAR2dd-control-2 HCT116_induced_ADAR2dd-…
- GSM8565755 HCT116_induced_ADAR2dd-DDX6-1 HCT116_induced_ADAR2dd-…
- GSM8565756 HCT116_induced_ADAR2dd-DDX6-2 HCT116_induced_ADAR2dd-…
- GSM8565757 HCT116_induced_ADAR2dd-EDC3-1 HCT116_induced_ADAR2dd-…
- GSM8565758 HCT116_induced_ADAR2dd-EDC3-2 HCT116_induced_ADAR2dd-…
- GSM8565759 HCT116_induced_ADAR2dd-LSM14A-1 HCT116_induced_ADAR2dd-…
- GSM8565760 HCT116_induced_ADAR2dd-LSM14A-2 HCT116_induced_ADAR2dd-…
- GSM8565761 HCT116_induced_ADAR2dd-PATL1-1 HCT116_induced_ADAR2dd-…
- GSM8565762 HCT116_induced_ADAR2dd-PATL1-2 HCT116_induced_ADAR2dd-…
- GSM8565763 HCT116_induced_APOBEC1-4E-T-1 HCT116_induced_APOBEC1-…
- GSM8565764 HCT116_induced_APOBEC1-4E-T-2 HCT116_induced_APOBEC1-…
- GSM8565765 HCT116_induced_APOBEC1_ADAR2dd-control-1 HCT116_induced_APOBEC1_…
- GSM8565766 HCT116_induced_APOBEC1_ADAR2dd-control-2 HCT116_induced_APOBEC1_…
- GSM8565767 HCT116_induced_APOBEC1-CNOT10-1
- GSM8565768 HCT116_induced_APOBEC1-control-1 HCT116_induced_APOBEC1-…
- GSM8565769 HCT116_induced_APOBEC1-control-2 HCT116_induced_APOBEC1-…
- GSM8565770 HCT116_induced_APOBEC1-control-3 HCT116_induced_APOBEC1-…
- GSM8565771 HCT116_induced_APOBEC1-DDX6-1 HCT116_induced_APOBEC1-…
- GSM8565772 HCT116_induced_APOBEC1-DDX6-2 HCT116_induced_APOBEC1-…
- GSM8565773 HCT116_induced_APOBEC1-DDX6-3 HCT116_induced_APOBEC1-…
- GSM8565774 HCT116_induced_APOBEC1-DDX6_LSM14A-ADAR2dd-1 HCT116_induced_APOBEC1-…
- GSM8565775 HCT116_induced_APOBEC1-DDX6_LSM14A-ADAR2dd-2 HCT116_induced_APOBEC1-…
- GSM8565776 HCT116_induced_APOBEC1-EDC4-1
- GSM8565777 HCT116_induced_APOBEC1-LSM14A-1
- GSM8565778 HCT116_induced_APOBEC1-PATL1-1 HCT116_induced_APOBEC1-…
- GSM8565779 HCT116_induced_APOBEC1-PATL1-2 HCT116_induced_APOBEC1-…
- GSM8565780 HCT116_induced_APOBEC-DCP2-1
+ 91 more — browse all 131 samples with per-sample file links →
- GSE279285 Systematic characterization of the composition and dynamics of processing body-associated mRNAs 597 samples shares body-associated, composition, systematic, processing, dynamics, mrnas
- GSE279168 Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 1] 458 samples shares body-associated, composition, systematic, processing, dynamics, mrnas
- GSE272219 Profiling transcriptome composition and dynamics within nuclear compartments using SLAM-RT&Tag 140 samples shares composition, dynamics
- GSE269274 Systematic analyses of transposable element expression dynamics using long read RNA-seq in pluripotent stem cells and germ lineage cells [subcellular RNA-seq] 46 samples shares systematic, dynamics
- GSE269273 Systematic analyses of transposable element expression dynamics using long read RNA-seq in pluripotent stem cells and germ lineage cells [bulk RNA-seq] 16 samples shares systematic, dynamics
- GSE274188 RAPIDASH: Tag-free enrichment of ribosome-associated proteins reveals compositional dynamics in embryonic tissues, cancer cells, and macrophages [RNA-Seq and Ribo-Seq] 12 samples shares composition, dynamics
- GSE313042 Systematic Bias Introduced by Ficoll-Based Isolation in AML Sample Composition and Downstream Analyses 10 samples shares composition, systematic
- GSE241685 Systematic identification and characterization of Exon-intron circRNAs in the human transcriptome 34 samples shares systematic
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.