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Transimmunom whole blood RNA-seq data from type 1 diabetic patients and healthy volunteers

GSE123658 Homo sapiens (human) RNA-seq (gene expression) 82 samples Submitted 2020/06/01 Platform GPL18573Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 82 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
82 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)
Patients affected by type 1 diabetes are recruited in the departments of Diabetology and Healthy Volunteers (HV) are selected based on internal records in the same hospital. Total RNA from whole blood has been extracted following a two-step procedure. First, RNA from blood collected on PAX-Gene tubes has been extracted using Maxwell 16 LEV simplyRNA blood kit (Promega) following manufacturer recommendations and second b-globin, dominant RNA from red blood cells, has been removed using the GLOBINclear kit (Ambion) on extracted RNA.
Read the full summary ↓
RNA sequencing has been performed from using the TruSeq Stranded mRNA preparation kit (Illumina) on 500 ng b-globin depleted RNA with a RNA Integrity Number > 8 (measured on Bioanalyzer following manufacturer recommendations), and then sequenced following a pair-end 2x75 bp protocol on NextSeq 500 or HiSeq 4000 (Illumina) at LIGAN Equipex (Lille, France).
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 GSE123658_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 PRJNA509461 and SRA study SRP173298. Searching any of these in the dataset finder brings you back here.

Samples in this study

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