DROSHA and DICER RNA products control BMI1-dependent transcriptional repression at DNA damage sites
RNA-seq (gene expression) · human · 26 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
- 26 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
- DROSHA, DICER, and damage-induced long ncRNA control BMI1-dependent transcriptional repression at DNA double-strand breakCell reports · 2025
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 GSE193821_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 PRJNA798043 and SRA study SRP355430. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 26 samples.
How we read this: 8 replicated groups read from 26 sample titles; they account for 26 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.
- GSM5822231 siATM Induced Replicate 1 siATM Induced
- GSM5822232 siATM Induced Replicate 2 siATM Induced
- GSM5822233 siATM Induced Replicate 3 siATM Induced
- GSM5822234 siATM Uninduced Replicate 1 siATM Uninduced
- GSM5822235 siATM Uninduced Replicate 2 siATM Uninduced
- GSM5822236 siATM Uninduced Replicate 3 siATM Uninduced
- GSM5822237 siCTL Induced Replicate 1 siCTL Induced
- GSM5822238 siCTL Induced Replicate 2 siCTL Induced
- GSM5822239 siCTL Induced Replicate 3 siCTL Induced
- GSM5822240 siCTL Uninduced Replicate 1 siCTL Uninduced
- GSM5822241 siCTL Uninduced Replicate 2 siCTL Uninduced
- GSM5822242 siCTL Uninduced Replicate 3 siCTL Uninduced
- GSM5822243 siDIC-DRO Induced Replicate 1 siDIC-DRO Induced
- GSM5822244 siDIC-DRO Induced Replicate 2 siDIC-DRO Induced
- GSM5822245 siDIC-DRO Induced Replicate 3 siDIC-DRO Induced
- GSM5822246 siDIC-DRO Uninduced Replicate 1 siDIC-DRO Uninduced
- GSM5822247 siDIC-DRO Uninduced Replicate 2 siDIC-DRO Uninduced
- GSM5822248 siDIC-DRO Uninduced Replicate 3 siDIC-DRO Uninduced
- GSM8078192 siCTL induced Replicate 4 siCTL induced
- GSM8078193 siCTL induced Replicate 5 siCTL induced
- GSM8078194 siCTL uninduced Replicate 4 siCTL uninduced
- GSM8078195 siCTL uninduced Replicate 5 siCTL uninduced
- GSM8078196 siDIC-DRO Induced Replicate 4 siDIC-DRO Induced
- GSM8078197 siDIC-DRO Induced Replicate 5 siDIC-DRO Induced
- GSM8078198 siDIC-DRO Uninduced Replicate 4 siDIC-DRO Uninduced
- GSM8078199 siDIC-DRO Uninduced Replicate 5 siDIC-DRO Uninduced
- GSE294470 NSUN2 Facilitates Dicer Cleavage of DNA Damage-Associated R-Loops to Promote Repair [ChIP-Seq] 12 samples shares dicer, damage
- GSE330966 Repression of DNA Damage Response Sensitizes APL Cells to the Combined Genotoxicity of All-Trans Retinoic Acid and Arsenic Trioxide 24 samples shares repression, damage
- GSE232937 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-Seq_RSeT_H9_L1KD] 12 samples shares repression, control
- GSE232931 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-Seq_RSeT+DT_H9_L1KD] 12 samples shares repression, control
- GSE232932 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-Seq_RSeT+DT_H9_L1KD+siRNA-KD] 9 samples shares repression, control
- GSE232930 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-Seq_Primed_H9_L1KD] 6 samples shares repression, control
- GSE275237 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-seq_primed,RSeT,RSeT+DT_hESCs] 6 samples shares repression, control
- GSE263287 LINE1 and PRC2 control nucleolar organization and repression of the 8C-state in human ESCs [RNA-seq_PXGL H9_L1KD] 6 samples shares repression, control
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.