Establishment of Human Formative Pluripotent Stem Cell Like Cells Exhibiting Amniotic Differentiation Potentials [bulk RNA-seq]
Single-cell RNA-seq · human · 13 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 13 samples: 2 × hALSCs vs 2 × hESCs_sus vs 2 × 3D_to_2D_P1 vs 2 × 3D_to_2D_P2Groups 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.
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 GSE298429_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1269438 and SRA study SRP588755. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 4 replicated groups read from 13 sample titles; they account for 8 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.
- GSM9014139 hESCs_H9
- GSM9014140 hESCs_MGT3
- GSM9014141 hfPSCs_H9
- GSM9014142 hfPSCs_MGT3
- GSM9014143 hifPSCs
- GSM9014144 hALSCs_1 hALSCs
- GSM9014145 hALSCs_2 hALSCs
- GSM9014146 hESCs_sus_1 hESCs_sus
- GSM9014147 hESCs_sus_2 hESCs_sus
- GSM9014148 3D_to_2D_P1_1 3D_to_2D_P1
- GSM9014149 3D_to_2D_P1_2 3D_to_2D_P1
- GSM9014150 3D_to_2D_P2_1 3D_to_2D_P2
- GSM9014151 3D_to_2D_P2_2 3D_to_2D_P2
- GSE298432 Establishment of Human Formative Pluripotent Stem Cell Like Cells Exhibiting Amniotic Differentiation Potentials 21 samples shares establishment, pluripotent, exhibiting, potentials, formative, amniotic, stem
- GSE80732 Global transcriptional analysis of human extended pluripotent stem cells, human primed pluripotent stem cells, mouse extended pluripotent stem cells, and mouse embryonic stem cells by RNA-seq 10 samples shares pluripotent, rna-seq, stem
- GSE235167 Establishment of breast cancer PDX RNA-sequencing data library [bulk RNA-seq] 76 samples shares establishment, rna-seq
- GSE252590 Generation of mature epicardium derived from human-induced pluripotent stem cells via inhibition of mTOR signaling 23 samples shares pluripotent, stem
- GSE268632 Modulation of mitochondrial abundance in pluripotent stem cells and embryos 12 samples shares pluripotent, stem
- GSE282077 In vitro generation of a ureteral organoid from pluripotent stem cells 11 samples shares pluripotent, stem
- GSE250618 Human liver sinusoidal endothelial cells support the development of functional human pluripotent stem cell-derived Kupffer cells 1 samples shares pluripotent, stem
- GSE52824 Derivation of novel human ground state naïve pluripotent stem cells. 71 samples shares pluripotent, stem
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.