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Akap11 is a positive regulator of osteogenesis in mouse osteoblastic cell line MC3T3-E1

GSE136591 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2019/08/30 Platform GPL18480
At a glance

RNA-seq (gene expression) · mouse · 8 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
Mus musculus (mouse)
Samples
8 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: This is a post-GWAS functional study that aims to determine the effect of Akap11 knockout in mouse preosteoblastic cell line MC3T3-E1 during osteogenesis. Methods: mRNA profile of WT (treated with CRISPR and remains unedited) and Akap11 knockout MC3T3-E1 cells were generated by RNAseq from pooled RNA (from 3 biological triplicate at equal quantity) of various timepoint during osteogenesis (Day 0, 7,16, 25).100ng total RNA was used for library construction by KAPA Stranded mRNA-Seq Kit (Roche).
Read the full summary ↓
Pair-End 101bp sequencing was performed in the Illumin HiSq1500 sequencer using the HiSeq SBS Kit v4 (Illumina). Data was collected with SCS version 1.4.8. Base calling was performed using Illumina’s RTA (Version 1.12.4.2). 7 samples were sequenced per lane and achieved a sequencing depth of ~65 million read per sample. Results: Expression of osteogentic markers in Akap11 knockout MC3T3-E1 cells were suppressed. Genes invovled in IGF-I signaling pathway were signficantly altered.
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 GSE136591_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 PRJNA562822 and SRA study SRP219825. Searching any of these in the dataset finder brings you back here.

Samples in this study

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