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Transcriptomic data of parent and NAPE-PLD deteled Caco-2 cells

GSE116213 Homo sapiens (human) RNA-seq (gene expression) 4 samples Submitted 2021/06/23 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 4 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
4 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)
PURPOSE: We generated NAPE-PLD-deleted Caco-2 cells, which is a model of intestinal epithelial cells, using genome editing with the CRISPR/Cas9 system. To explore the molecular events following the deletion of NAPE-PLD in Caco-2 cells, we examined the transcriptomic changes in the NAPE-PLD deleted clone 35 compared with Caco-2 parent cells by RNA-seq.
Read the full summary ↓
METHODS: mRNA profiles of parent and NAPE-PLD deleted Caco-2 cells were generated using Illumina HiSeq4000 (n=2/each cell). Those raw sequence data were then mapped to the human hg38 reference genome using a custom MOIRAI pipeline with STAR 2.51 for alignment. Then, read counts for each transcript were obtained using featureCounts, and the raw count data were directly analyzed for differential gene expression by using edgeR 3.20.9. RESULTS: Approximately 40 million reads per sample were obtained as raw data. Among a total of 12,331 genes detected in at least in one cell type, 1,019 genes were up-regulated (FDR < 0.01, logFC > 1) and 827 genes were down-regulated (FDR < 0.01, logFC > 1) in clone 35 compared with the parental cells.
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 GSE116213_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 PRJNA477784 and SRA study SRP151252. Searching any of these in the dataset finder brings you back here.

Samples in this study

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