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Transcriptomic analysis of placenta and its released extracellular vesicles in normal and preeclampsia pregnancies: insigths into novel biomarkers and mechanisms of disease

GSE190971 Homo sapiens (human) RNA-seq (gene expression) 41 samples Submitted 2021/12/17 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 41 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
41 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: The goals of this study is to compare and profile the transcriptome of the placenta in preeclamptic and normal patients using RNA sequencing. Methods: Placental and Placental vesicles (STB-EVs) mRNA profiles of normal and preeclamptic patients were generated by deep sequencing using Illumina HISEQ. The sequence reads that passed quality filters were analyzed at the gene level HISAT2 followed by featureCounts.
Read the full summary ↓
Quantitative PCR validation was performed using TaqMan gene expression assays Results: This contains a set of three parallel mRNA sequencing experiments involving placenta tissue, medium/large STB-EVs and small STB-EVs. Comparison between PE and normal pregnancy placental tissue revealed 18,070 genes from which 580 were upregulated and 563 were downregulated (p-value of <0.05 ) while in medium/large STB-EVs, revealed 14,216 genes from which 1,128 were upregulated and 833 were downregulated. In small STB-EVs, out of 23,322 genes, 232 were upregulated and 106 were downregulated) (adjusted P-value of <0.05) We identified a number of mechanistic and biomarker targets, which were validated with qRT–PCR and confirmed to be signifficantly DE. The differentially expressed analysis identified potential yet undescribed genes that may contribute to the pathogenesis of preeclampsia or/and may act as biomarkers of the disease. Conclusions: Our study represents the first detailed analysis of combined Placenta and placental extracellular vesicles (STB-EVs) transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results have identified potential STB-EV based small RNA biomarkers in preeclampsia.
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 GSE190971_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 PRJNA789228 and SRA study SRP350887. Searching any of these in the dataset finder brings you back here.

Samples in this study

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