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Bulk RNA-seq, small RNA-seq, and miRNA pulldown profiling of H19 RNA editing and miR-675-3p retargeting in mouse hematopoietic cells

GSE341465 Mus musculus (mouse) Non-coding RNA profiling 69 samples Submitted 2026/08/04 Platform GPL28330Platform GPL24247
At a glance

Non-coding RNA profiling · mouse · 69 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
69 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)
Adenosine-to-inosine RNA editing can alter RNA structure, processing, and target recognition, but its physiological functions during hematopoietic stem cell development remain incompletely understood. This study investigates how developmental editing of the imprinted long noncoding RNA H19 regulates hematopoietic stem cell quiescence through the biogenesis and target specificity of miR-675-3p.
Read the full summary ↓
The deposited datasets comprise conventional bulk RNA sequencing, small RNA sequencing, and biotinylated miRNA pulldown RNA sequencing from mouse hematopoietic stem and progenitor cells and related cell-line models. Bulk RNA-seq was performed in 32D-LV-H19 cells expressing empty vector, wild-type ADAR1 p110, or catalytically inactive ADAR1 p110 E861A; primary mouse c-Kit-positive cells expressing empty vector, wild-type editable H19-A, the H19-G edited mimic, or the editing-resistant H19-T allele; poly(I)-treated Ki67-eGFP-negative LT-HSCs carrying H19-A, H19-G, or H19-T alleles; and steady-state Ki67-eGFP-negative and Ki67-eGFP-positive LT-HSCs. Small RNA-seq was used to quantify miRNA production in 32D-LV-H19 and primary c-Kit-positive cells under the corresponding ADAR1- and H19-dependent experimental conditions. In parallel, biotinylated miRNA pulldown RNA-seq was performed in 32D cells transfected with scrambled-control, unedited wild-type miR-675-3p, or edited miR-675-3p mimics. Input and pulldown fractions were sequenced to identify transcripts preferentially associated with each miRNA species. Together, these datasets enable integrated analysis of H19 editing-dependent transcriptional changes, miR-675-3p biogenesis, and editing-induced miRNA target retargeting in hematopoietic 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 GSE341465_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 PRJNA1502796. Searching any of these in the dataset finder brings you back here.

Samples in this study

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