Foregut endoderm differentiation from Human H1 ESCs examining Retinoic Acid dependent patterning during day5-6 developmental window
RNA-seq (gene expression) · human · 18 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
- 18 samples: 6 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.
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 GSE310903_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 PRJNA1367507 and SRA study SRP647486. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9311934 Human PSC Day6 foregut endoderm rep1 Human PSC Day6 foregut …
- GSM9311935 Human PSC Day6 foregut endoderm rep2 Human PSC Day6 foregut …
- GSM9311936 Human PSC Day6 foregut endoderm rep3 Human PSC Day6 foregut …
- GSM9311937 Human PSC Day9 foregut endoderm rep1 Human PSC Day9 foregut …
- GSM9311938 Human PSC Day9 foregut endoderm rep2 Human PSC Day9 foregut …
- GSM9311939 Human PSC Day9 foregut endoderm rep3 Human PSC Day9 foregut …
- GSM9311940 Human PSC Day9 foregut endoderm plus CHIR BMP rep1 Human PSC Day9 foregut …
- GSM9311941 Human PSC Day9 foregut endoderm plus CHIR BMP rep2 Human PSC Day9 foregut …
- GSM9311942 Human PSC Day9 foregut endoderm plus CHIR BMP rep3 Human PSC Day9 foregut …
- GSM9311943 Human PSC Day6 foregut endoderm plus RA rep1 Human PSC Day6 foregut …
- GSM9311944 Human PSC Day6 foregut endoderm plus RA rep2 Human PSC Day6 foregut …
- GSM9311945 Human PSC Day6 foregut endoderm plus RA rep3 Human PSC Day6 foregut …
- GSM9311946 Human PSC Day9 foregut endoderm plus RA rep1 Human PSC Day9 foregut …
- GSM9311947 Human PSC Day9 foregut endoderm plus RA rep2 Human PSC Day9 foregut …
- GSM9311948 Human PSC Day9 foregut endoderm plus RA rep3 Human PSC Day9 foregut …
- GSM9311949 Human PSC Day9 foregut endoderm plus RA plus CHIR BMP rep1 Human PSC Day9 foregut …
- GSM9311950 Human PSC Day9 foregut endoderm plus RA plus CHIR BMP rep2 Human PSC Day9 foregut …
- GSM9311951 Human PSC Day9 foregut endoderm plus RA plus CHIR BMP rep3 Human PSC Day9 foregut …
- GSE325123 The melanocytic transcriptomic state is independently associated with poor overall survival in long term follow up of patients with metastatic melanoma 272 samples shares dependent
- GSE304585 MAIT and other innate-like T cells integrate adaptive immune responses to modulate interval-dependent reactogenicity to mRNA vaccines 259 samples shares dependent
- GSE287022 Cutaneous adipose tissue has a strong inflammatory signature in psoriasis patients, and it is partly IL-17 dependent. 241 samples shares dependent
- GSE283409 Stratifying IVF population endometria using a prognosis gradient independent of endometrial timing 195 samples shares dependent
- GSE279593 BMP, MEK and WNT modulation with NGN2 expression for rapid neuron differentiation from hiPSC amenable to regional patterning 158 samples shares patterning
- GSE305224 Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models [RNA-seq] 120 samples shares dependent
- GSE286991 Sustained PRC1.1 activity preserves gene repression independently of PRC2.2 and restrains leukemic cell differentiation 96 samples shares dependent
- GSE317889 Combined DNA and RNA profiling refines prognostic stratification independent of therapeutic actionability in cholangiocarcinoma 62 samples shares dependent
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.