Paraspeckle-Independent Co-Transcriptional Regulation of Nuclear microRNA Biogenesis by SFPQ [RNA-seq]
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM8157940 SBC-3, siCtrl, RNA-seq rep.1 SBC-3, siCtrl, RNA-seq
- GSM8157941 SBC-3, siCtrl, RNA-seq rep.2 SBC-3, siCtrl, RNA-seq
- GSM8157942 SBC-3, siCtrl, RNA-seq rep.3 SBC-3, siCtrl, RNA-seq
- GSM8157943 SBC-3, siSFPQ-2, RNA-seq rep.1 SBC-3, siSFPQ-2, RNA-seq
- GSM8157944 SBC-3, siSFPQ-2, RNA-seq rep.2 SBC-3, siSFPQ-2, RNA-seq
- GSM8157945 SBC-3, siSFPQ-2, RNA-seq rep.3 SBC-3, siSFPQ-2, RNA-seq
- GSM8157946 SBC-3, siSFPQ-3, RNA-seq rep.1 SBC-3, siSFPQ-3, RNA-seq
- GSM8157947 SBC-3, siSFPQ-3, RNA-seq rep.2 SBC-3, siSFPQ-3, RNA-seq
- GSM8157948 SBC-3, siSFPQ-3, RNA-seq rep.3 SBC-3, siSFPQ-3, RNA-seq
- GSM8157949 SBC-3, siNONO-3, RNA-seq rep.1 SBC-3, siNONO-3, RNA-seq
- GSM8157950 SBC-3, siNONO-3, RNA-seq rep.2 SBC-3, siNONO-3, RNA-seq
- GSM8157951 SBC-3, siNONO-3, RNA-seq rep.3 SBC-3, siNONO-3, RNA-seq
- GSM8157952 SBC-3, siNONO-4, RNA-seq rep.1 SBC-3, siNONO-4, RNA-seq
- GSM8157953 SBC-3, siNONO-4, RNA-seq rep.2 SBC-3, siNONO-4, RNA-seq
- GSM8157954 SBC-3, siNONO-4, RNA-seq rep.3 SBC-3, siNONO-4, RNA-seq
- GSM8157955 SBC-3, ASO-Ctrl, RNA-seq rep.1 SBC-3, ASO-Ctrl, RNA-seq
- GSM8157956 SBC-3, ASO-Ctrl, RNA-seq rep.2 SBC-3, ASO-Ctrl, RNA-seq
- GSM8157957 SBC-3, ASO-Ctrl, RNA-seq rep.3 SBC-3, ASO-Ctrl, RNA-seq
- GSM8157958 SBC-3, ASO-NEAT1-1047, RNA-seq rep.1 SBC-3, ASO-NEAT1-1047, …
- GSM8157959 SBC-3, ASO-NEAT1-1047, RNA-seq rep.2 SBC-3, ASO-NEAT1-1047, …
- GSM8157960 SBC-3, ASO-NEAT1-1047, RNA-seq rep.3 SBC-3, ASO-NEAT1-1047, …
- GSM8157961 SBC-3, ASO-NEAT1-1473, RNA-seq rep.1 SBC-3, ASO-NEAT1-1473, …
- GSM8157962 SBC-3, ASO-NEAT1-1473, RNA-seq rep.2 SBC-3, ASO-NEAT1-1473, …
- GSM8157963 SBC-3, ASO-NEAT1-1473, RNA-seq rep.3 SBC-3, ASO-NEAT1-1473, …
- GSE281892 SFPQ protects DNA repeat stability by recruiting histone H3.3 chaperon activity to R-loop structures [RNA-seq] 6 samples shares sfpq, rna-seq
- GSE261691 7q11.23 CNV alters ribosomal biogenesis, mTOR and neuronal intrinsic excitability [RNA-seq] 24 samples shares biogenesis, rna-seq
- GSE275117 CRAMP1-dependent histone H1 biogenesis is essential for topoisomerase II inhibitor tolerance [RNA-seq] 20 samples shares biogenesis, rna-seq
- GSE239381 Beta cell-specific PAK1 enrichment ameliorates diet-induced glucose intolerance by promoting insulin biogenesis and minimizing beta cell apoptosis [RNA-Seq] 20 samples shares biogenesis, rna-seq
- GSE242271 Prostaglandin E2-EP4 signaling shapes immunosuppressive tumor microenvironment in human tumors by suppressing bioenergetics and ribosome biogenesis in infiltrating immune cells [scRNA-seq] 15 samples shares biogenesis, rna-seq
- GSE310243 Improved co-transcriptional splicing of readthrough transcripts during chemotherapy treatment [CML_RNA-seq] 8 samples shares co-transcriptional, rna-seq
- GSE232857 A non-canonical role for a small nucleolar RNA in ribosome biogenesis and senescence (RNA-sequencing) 8 samples shares biogenesis, rna-seq
- GSE290315 Nuclear condensates formed by truncated mutant NEK1s impede ribosomal RNA biogenesis and drive motor dysfunction 6 samples shares biogenesis, nuclear
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.