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Generation of mature lung alveolar epithelial cells from human pluripotent stem cells

GSE96642 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2017/10/03 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples
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)
We perform time-series global transcriptomic profiling of a directed differentiation protocol for generating alveolar epithelial type II cells (AEC2s) from pluripotent stem cells (PSCs). We analyzed 3 different timepoints in the RUES2 differentiation: 1) Day 0 undifferentiated cells, 2) Day 15 lung progenitors highly enriched in NKX2-1+ cells by CD47hi/CD26lo sorting, and 3) the outgrowth of these purified progenitors in 3D culture sorted again on Day 35 based on SFTPCtdTomato+ and SFTPCtdTomato- gating.
Read the full summary ↓
For comparison to primary cells, we simultaneously sequenced RNA from purified primary fetal (21 week gestation) distal alveolar epithelial progenitors and purified adult human (HTII-280 sorted) AEC2s. In order to evaluate the effect of cell culture on primary fetal alveolar cells, parallel aliquots of the fetal cells were also exposed to 4 days of culture in DCI media. We find that AEC2 maturation involves downregulation of Wnt signaling activity, and that the highest differentially expressed transcripts in iPSC-derived AEC2s encode genes associated with lamellar body and surfactant biogenesis.
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 GSE96642_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.

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 PRJNA379280 and SRA study SRP101943. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 21 more — browse all 21 samples with per-sample file links →

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