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Combined treatment of uterine leiomyosarcoma with gamma secretase inhibitor MK-0752 and chemotherapeutic agents de-creases cellular invasion and increases apoptosis

GSE268019 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/07/31 Platform GPL18573
At a glance

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)
Samples
12 samples: 6 conditions, mostly in duplicateGroups 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
Combined Treatment of Uterine Leiomyosarcoma with Gamma Secretase Inhibitor MK-0752 and Chemotherapeutic Agents Decreases Cellular Invasion and Increases ApoptosisCancers · 2024
Summary (written by the submitters)
Uterine leiomyosarcoma (uLMS) is a rare and aggressive malignancy with treat-ments that have limited efficacy and often have significant toxicities. We previously demonstrated the presence of Notch signaling in uLMS as well as decreased cell viability and Notch expression after inhibition using the gamma secretase inhibitor, MK-0752. The aim of this study was to assess the combination of MK-0752 and chemotherapeutics commonly used for the treatment of uLMS.
Read the full summary ↓
Using two human uLMS cell lines, SK-UT-1B and SK-LMS-1, we investigate the role of MK-0752 alone and in combination with docetaxel and gemcitabine. We demonstrated synergism between MK-0752 and docetaxel and gemcitabine using MTT assays. These synergistic combinations were used in transwell invasion assays, cell cycle flow cytometry, and proliferation assays. We found decreased invasion and an increase in the apoptotic sub-G1 cell cycle population after combination treatment. The combinations of MK-0752 with gemcitabine and docetaxel is a potential novel therapeutic approach for uLMS.
Published in
Combined Treatment of Uterine Leiomyosarcoma with Gamma Secretase Inhibitor MK-0752 and Chemotherapeutic Agents Decreases Cellular Invasion and Increases Apoptosis
Abedin Y, Fife A, Samuels CA et al. · Cancers 2024 · PMID 38927890 · doi:10.3390/cancers16122184
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 GSE268019_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 PRJNA1114061 and SRA study SRP511694. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
SKLMS1-DMSO-2 ×2 SKLMS1-DMSO-4 ×2 SKLMS1-MGD-4 ×2 SKLMS1-MK-2 ×2 SKUT1B-DMSO-4 ×2 SKUT1B-MGD-3 ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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
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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.