DHX9 suppresses spurious RNA processing defects originating from the Alu invasion of the human genome [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
- 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.
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 GSE85161_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 PRJNA336449 and SRA study SRP080966. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 24 more — browse all 24 samples with per-sample file links →
- GSE285077 Chromatin-associated lncRNA-splicing factor condensates regulate hypoxia responsive RNA processing of genes pre-positioned near nuclear speckles [RNA-seq] 76 samples shares processing, rna-seq
- GSE240581 Small-molecule Inhibition of METTL3 Suppresses Tumor Growth and Promotes Neuroblastoma Differentiation [RNA-Seq Decay] 48 samples shares suppresses, rna-seq
- GSE299562 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers [RNA-seq] 42 samples shares suppresses, rna-seq
- GSE312942 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-seq] 36 samples shares processing, rna-seq
- GSE241936 Activation of a nongenetic AHR-ELMSAN1 axis optimizes BET-targeting therapy and suppresses leukemia stem cells in preclinical models [RNA-Seq2] 36 samples shares suppresses, rna-seq
- GSE240496 Activation of a nongenetic AHR-ELMSAN1 axis optimizes BET-targeting therapy and suppresses leukemia stem cells in preclinical models [RNA-Seq] 24 samples shares suppresses, rna-seq
- GSE313114 Inhibition of METTL3 by STC-15 induces RNA misprocessing that results in dsRNA formation and activates innate immunity [RNA-Seq dose_response] 21 samples shares processing, rna-seq
- GSE293708 CD55 upregulation in T cells of COVID-19 patients suppresses type-I interferon responses [bulkRNA-seq] 16 samples shares suppresses, rna-seq
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.