Repression of DNA Damage Response Sensitizes APL Cells to the Combined Genotoxicity of All-Trans Retinoic Acid and Arsenic Trioxide
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.
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 GSE330966_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 PRJNA1466310 and SRA study SRP700600. 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.
- GSM9736631 NB4_Control_1 NB4_Control
- GSM9736632 NB4_Control_2 NB4_Control
- GSM9736633 NB4_Control_3 NB4_Control
- GSM9736634 NB4_ATRA_D2_1 NB4_ATRA_D2
- GSM9736635 NB4_ATRA_D2_2 NB4_ATRA_D2
- GSM9736636 NB4_ATRA_D2_3 NB4_ATRA_D2
- GSM9736637 NB4_ATO_D2_1 NB4_ATO_D2
- GSM9736638 NB4_ATO_D2_2 NB4_ATO_D2
- GSM9736639 NB4_ATO_D2_3 NB4_ATO_D2
- GSM9736640 NB4_Combination_D2_1 NB4_Combination_D2
- GSM9736641 NB4_Combination_D2_2 NB4_Combination_D2
- GSM9736642 NB4_Combination_D2_3 NB4_Combination_D2
- GSM9736643 HL60_Control_1 HL60_Control
- GSM9736644 HL60_Control_2 HL60_Control
- GSM9736645 HL60_Control_3 HL60_Control
- GSM9736646 HL60_ATRA_D2_1 HL60_ATRA_D2
- GSM9736647 HL60_ATRA_D2_2 HL60_ATRA_D2
- GSM9736648 HL60_ATRA_D2_3 HL60_ATRA_D2
- GSM9736649 HL60_ATO_D2_1 HL60_ATO_D2
- GSM9736650 HL60_ATO_D2_2 HL60_ATO_D2
- GSM9736651 HL60_ATO_D2_3 HL60_ATO_D2
- GSM9736652 HL60_Combination_D2_1 HL60_Combination_D2
- GSM9736653 HL60_Combination_D2_2 HL60_Combination_D2
- GSM9736654 HL60_Combination_D2_3 HL60_Combination_D2
- GSE280480 Gene expression profiling reveals two overarching types of anaplastic large cell lymphoma with distinct targetable biology: an LLMPP study 393 samples shares apl
- GSE247531 Single-cell landscape of hematopoiesis and immunological responses in patients with severe aplastic anemia treated with immunosuppression and eltrombopag 182 samples shares apl
- GSE210993 RNA sequencing of human gastrointestinal organoids and Intestinal Metaplasia (IM) organoids 103 samples shares apl
- GSE328854 Ancestry-Specific Structural Variation at 17q21.31 Reveals a Novel H1 Sub-Haplotype and Functional Effects on Tau Biology 102 samples shares apl
- GSE291080 Clonal cell states link gastroesophageal junction tissues, metaplasia, and cancer [scRNA-seq] 45 samples shares apl
- GSE287855 Clonal cell states link gastroesophageal junction tissues, metaplasia, and cancer [MAESTER] 40 samples shares apl
- GSE193581 Anaplastic Transformation Model in Thyroid Cancer Revealed by Single Cell Lineage and Fate Analysis 32 samples shares apl
- GSE210991 5' droplet-based single cell RNA sequencing of human gastrointestinal organoids and Intestinal Metaplasia (IM) organoids [scRNA-seq] 29 samples shares apl
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.