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Targeting Lysine Demethylase 5 (KDM5) in Mantle Cell Lymphoma

GSE243395 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2024/09/24 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 36 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
36 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.
Summary (written by the submitters)
Loss of function mutations in the histone methyltransferase KMT2D are common in lymphomas but difficult to target. We reported targeting KDM5 restores epigenetic balance in germinal centre (GC) lymphomas. Here, we show the KDM5 family are over-expressed in mantle cell lymphoma (MCL). GS716054, a pro-drug, increases H3K4 trimethylation (H3K4me3) and kills MCL cells including TP53 mutated cells via suppression of the MYC pathway. It can overcome ibrutinib resistance and synergises with ibrutinib. These data suggest a possible role for KDM5-inhibitors in advanced MCL.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE243395_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1018417 and SRA study SRP461404. Searching any of these in the dataset finder brings you back here.

Samples in this study

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