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Differences in miRNA expression profiles of follicular fluid exosomes between Premature ovarian insufficiency and normal ovarian reserve

GSE253684 Homo sapiens (human) Non-coding RNA profiling 6 samples Submitted 2024/12/01 Platform GPL16791
At a glance

Non-coding RNA profiling · human · 6 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
6 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)
Premature ovarian insufficiency (POI) refers to the severe decline and failure of ovarian function in women before the age of 40, and current treatment methods have significant limitations. In order to screen miRNAs with good anti-apoptotic effect, we used high-throughput sequencing technology to study the differences in exosomal miRNA expression profiles from human follicular fluid between patients with POI and patients with normal ovarian reserve.
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 GSE253684_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.

Also filed as BioProject PRJNA1066765 and SRA study SRP484786. Searching any of these in the dataset finder brings you back here.

Samples in this study

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