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Paraspeckle-Independent Co-Transcriptional Regulation of Nuclear microRNA Biogenesis by SFPQ [RNA-seq]

GSE262125 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2024/09/04 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 8 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
Paraspeckle-independent co-transcriptional regulation of nuclear microRNA biogenesis by SFPQCell reports · 2024
Summary (written by the submitters)
MicroRNAs (miRNAs) play crucial roles in physiological functions and diseases such as cancer, but the regulation of their nuclear biogenesis remains poorly understood. Here, BioID on Drosha, the catalytic subunit of the microprocessor complex, revealed its proximity to SFPQ, a multifunctional RNA-binding protein (RBP) notably involved in forming the paraspeckle nuclear condensates.
Read the full summary ↓
SFPQ depletion impacted both primary and mature miRNA expression, while other crucial paraspeckle proteins or the paraspeckle scaffolding lncRNA NEAT1 did not, indicating a unique paraspeckle-independent role. Comprehensive transcriptomic analyses showed that SFPQ loss broadly affects RNA and miRNA host gene (miRNA HG) expression, influencing both their transcription and stability. Notably, SFPQ protects specific miRNA HGs, including the oncogenic miR-17~92 polycistron, from degradation by the nuclear NEXT-exosome complex. Lastly, we show that high SFPQ is tightly linked with overexpression miR-17~92 and its mature miRNAs across a broad variety of cancers. Our findings reveal a dual role for SFPQ in the regulation of miRNA HGs transcription and stability, as well as its significance in cancers.
Published in
Paraspeckle-independent co-transcriptional regulation of nuclear microRNA biogenesis by SFPQ
Thivierge C, Bellefeuille M, Diwan SS et al. · Cell reports 2024 · PMID 39250314 · doi:10.1016/j.celrep.2024.114695
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 GSE262125_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 PRJNA1090439 and SRA study SRP496963. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
SBC-3, siCtrl, RNA-seq ×3 SBC-3, siSFPQ-2, RNA-seq ×3 SBC-3, siSFPQ-3, RNA-seq ×3 SBC-3, siNONO-3, RNA-seq ×3 SBC-3, siNONO-4, RNA-seq ×3 SBC-3, ASO-Ctrl, RNA-seq ×3 SBC-3, ASO-NEAT1-1047, RNA-seq ×3 SBC-3, ASO-NEAT1-1473, RNA-seq ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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