Ironomycin induces Mantle Cell Lymphoma cell death by targeting iron metabolism adicction
RNA-seq (gene expression) · human · 12 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)
- Topic
- Mantle cell lymphomaThis series is part of our curated briefing on it.
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Ironomycin induces mantle cell lymphoma cell death by targeting iron metabolism addictionTheranostics · 2025
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 GSE273121_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 PRJNA1140206 and SRA study SRP522238. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8422146 JEKO1 response, control condition
- GSM8422147 JEKO1 response, Ironomycin condition
- GSM8422148 JEKO1 response, Ibrutinib condition
- GSM8422149 JEKO1 response, Ironomycin + Ibrutinib condition
- GSM8422150 JVM2 response, control condition
- GSM8422151 JVM2 response, Ironomycin condition
- GSM8422152 JVM2 response, Ibrutinib condition
- GSM8422153 JVM2 response, Ironomycin + Ibrutinib condition
- GSM8422154 MAVER1 response, control condition
- GSM8422155 MAVER1 response, Ironomycin condition
- GSM8422156 MAVER1 response, Ibrutinib condition
- GSM8422157 MAVER1 response, Ironomycin + Ibrutinib condition
- GSE271664 Functional Genomics and Tumor Microenvironment Analysis Reveal Prognostic Biological Subtypes in Mantle Cell Lymphoma [RNA-seq] 51 samples same disease briefing · shares lymphoma, mantle, iron
- GSE243395 Targeting Lysine Demethylase 5 (KDM5) in Mantle Cell Lymphoma 36 samples same disease briefing · shares targeting, lymphoma, mantle
- GSE303064 Gene expression profile at single cell level of primary and relapse mantle cell lymphoma (MCL) 20 samples same disease briefing · shares lymphoma, mantle
- GSE229517 Resistance to PRMT5-targeted therapy in mantle cell lymphoma 6 samples same disease briefing · shares lymphoma, mantle
- GSE327598 Cyclin-dependent kinase-9 and oxidative phosphorylation inhibition overcome ibrutinib resistance in mantle cell lymphoma 4 samples same disease briefing · shares lymphoma, mantle
- GSE305144 Transcriptional reprogramming in mantle cell lymphoma promotes BTK inhibitor resistance 63 samples same disease briefing · shares lymphoma, mantle
- GSE302906 CUT&RUN profiling of SOX11 and SMARCA4 in mantle cell lymphoma 32 samples same disease briefing · shares lymphoma, mantle
- GSE239353 CARD11 gain of function upregulates BCL2A1 and promotes resistance to targeted therapies combination in B-cell lymphoma 18 samples same disease briefing · shares lymphoma
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.