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Seclidemstat blocks the transcriptional function of multiple FET-fusion oncoproteins

GSE267611 Homo sapiens (human) RNA-seq (gene expression) 70 samples Submitted 2024/06/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 70 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
70 samples: 26 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
Seclidemstat blocks the transcriptional function of multiple FET-fusion oncoproteinsbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Genes encoding the RNA-binding proteins FUS, EWSR1, and TAF15 (FET proteins) are involved in chromosomal translocations in several rare sarcomas. FET-rearranged sarcomas are often aggressive malignancies affecting pediatric, adolescent, and young and middle-aged adults, with prognosis depending on the fusion and whether the disease is localized, metastatic, or relapsed.
Read the full summary ↓
New therapies are needed for these patients. These translocations fuse the 5’ portion of the FET family gene with a 3’ partner gene encoding a transcription factor. The resulting fusion proteins have the intrinsically disordered low complexity domain (LCD) of the FET protein paired with a DNA binding domain and these chimeras function as oncogenic transcription factors. FET fusion proteins have proven stubbornly difficult to target directly and promising new therapeutic strategies target the critical regulators and co-regulators of these proteins. One such protein is the histone lysine specific demethylase 1 (LSD1). LSD1 physically interacts with and is recruited by multiple FET fusions, including EWSR1::FLI1. LSD1 promotes EWSR1::FLI1 gene regulation and prior studies showed that treatment with the noncompetitive inhibitor SP-2509 blocked the transcriptional activity of the fusion. A similar molecule, seclidemstat (SP-2577), was identified as a promising lead for clinical development and is currently in clinical trials for FET-rearranged sarcomas (NCT03600649). However, whether seclidemstat has pharmacological activity against EWSR1::FLI1 or any other FET fusion protein has yet to be demonstrated. In this study, we sought to evaluate the in vitro potency of seclidemstat against multiple cell lines derived from different FET-rearranged sarcomas, including Ewing sarcoma, desmoplastic small round cell tumor, clear cell sarcoma, and myxoid liposarcoma. We also defined the transcriptomic effect of seclidemstat treatment in these diseases and evaluated the activity of seclidemstat against FET fusion transcriptional regulation in multiple cell lines. Seclidemstat showed potent activity in cell viability assays in all four FET-rearranged sarcomas and disrupted the transcriptional function of all the tested fusion proteins. Though epigenetic and targeted inhibitors are unlikely to be effective as a single agents in the clinic, these data suggest seclidemstat remains a promising new treatment strategy for patients with FET-rearranged sarcomas
Published in
Seclidemstat blocks the transcriptional function of multiple FET-fusion oncoproteins
Rask GC, Taslim C, Bayanjargal A et al. · bioRxiv : the preprint server for biology 2024 · PMID 38826330 · doi:10.1101/2024.05.19.594897
This dataset
Open GSE267611 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE267611_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1111932 and SRA study SRP507986. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38826330) ↗
Study design
26 conditions, mostly in triplicate
TTC466,iERG197, ×4 TTC466,iERG562, ×4 1765-92,DMSO,48h, ×3 1765-92,IC90,48h, ×3 402-91,DMSO,48h, ×3 402-91,IC90,48h, ×3 A673,DMSO,48h, ×3 A673,IC90,48h, ×3 +18 more

Supports a between-group comparison across 70 samples.

How we read this: 26 replicated groups read from 70 sample titles; they account for 70 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.

Samples in this study

+ 30 more — browse all 70 samples with per-sample file links →

Datasets on a similar topic

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