Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 4]
RNA-seq (gene expression) · mouse · 10 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
- Mus musculus (mouse)
- Samples
- 10 samples: 5 × LSC_FL vs 5 × LSC_HETGroups 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 GSE273648_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 PRJNA1142568 and SRA study SRP523440. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8434503 LSC_FL_1 LSC_FL
- GSM8434504 LSC_FL_2 LSC_FL
- GSM8434505 LSC_FL_3 LSC_FL
- GSM8434506 LSC_FL_4 LSC_FL
- GSM8434507 LSC_FL_5 LSC_FL
- GSM8434508 LSC_HET_1 LSC_HET
- GSM8434509 LSC_HET_2 LSC_HET
- GSM8434510 LSC_HET_3 LSC_HET
- GSM8434511 LSC_HET_4 LSC_HET
- GSM8434512 LSC_HET_5 LSC_HET
- GSE273647 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 3] 10 samples shares nucleoporin, selectively, ferroptosis, eliminates, targeting, leukemia, inducing, rna-seq
- GSE273642 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 1} 10 samples shares nucleoporin, selectively, ferroptosis, eliminates, targeting, leukemia, inducing, rna-seq
- GSE273655 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis 68 samples shares nucleoporin, selectively, ferroptosis, eliminates, targeting, leukemia, inducing
- GSE302497 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [H3K27ac CUT-Tag-seq] 4 samples shares nucleoporin, selectively, ferroptosis, eliminates, targeting, leukemia, inducing
- GSE275780 Dual Targeting of STING and PI3Kγ Eliminates Regulatory B Cells to Overcome STING Resistance for Pancreatic Cancer Immunotherapy [RNA-seq] 17 samples shares eliminates, targeting, rna-seq
- GSE325782 Ketogenesis promotes leukemia development by inhibiting ferroptosis in leukemic stem cells [RNA-Seq] 9 samples shares ferroptosis, leukemia, rna-seq
- GSE275785 Dual Targeting of STING and PI3Kγ Eliminates Regulatory B Cells to Overcome STING Resistance for Pancreatic Cancer Immunotherapy [scRNA-seq] 5 samples shares eliminates, targeting, rna-seq
- GSE269772 SS18::SSX redistributes BAF chromatin remodelers selectively to activate and repress transcription [RNA-Seq] 46 samples shares selectively, 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.