← BioTransfer GEO Dataset Finder
GEO series

P-bodies dynamics of hESCs by unveiling P-bodies properties of hESC and hESC-derived mesodermal cells

GSE246537 Homo sapiens (human) Non-coding RNA profiling 34 samples Submitted 2024/10/15 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 34 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
34 samples: 16 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.
Summary (written by the submitters)
Processing bodies (P-bodies) are the membraneless organelles that play a critical role in RNA storage and degradation. P-body abnormalities contribute to diseases and developmental disorders, however, the dynamics of RNA components of P-bodies in human embryonic stem cells during maintenance and differentiation remain elusive. Here, we captured P-bodies during human embryonic stem cells(hESCs) to mesodermal differentiation using flow cytometry, and revealing unique transcriptomic features to other organelles and characterized by lower GC content and reduced M6A modifications.
Read the full summary ↓
Genes enriched in P-body are cell-specific, mainly associated with translation regulation and the cytoskeleton, long non-coding RNAs in P-body tend to interact with RNAs, whereas cytoplasmic genes are conserved and essential for fundamental processes, and cytoplasmic lncRNAs mostly interact with proteins. During hESC to mesodermal differentiation, both the number of P-bodies and enriched genes were significantly reduced. In addition, P-bodies selectively attracted specific transposable elements in hESCs. Perturbation of P-body gene expression or overexpression of P-body core protein LSM14A could disrupt hESC differentiation but not maintenance. In conclusion, our data elucidate the dynamics of P-body during the differentiation of hESCs to the mesodermal lineage and support the link between P-body and stem cell pluripotency.
This dataset
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.

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 GSE246537_RAW.tar (it can run to tens of gigabytes).

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.

Also filed as BioProject PRJNA1033589 and SRA study SRP469153. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly in duplicate
hESC_control ×3 hESC_TGFβi ×3 hESC_cytoplasm ×2 hESC_P_body ×2 hESC_derived_mesodermal_cells_cytoplasm ×2 hESC_derived_mesodermal_cells_P_body ×2 293T_cytoplasm ×2 293T_P_body ×2 +8 more

Supports a between-group comparison across 34 samples.

How we read this: 16 replicated groups read from 34 sample titles; they account for 34 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.