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Gene expression changes in 786-O cells in response to Everolimus, SGI-1027, or their combination.

GSE242110 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/10/23 Platform GPL24676
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)
Topic
Kidney cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × Vehicle(DMSO) vs 3 × Everolimmuys vs 3 × SGI-1027 vs 3 × COMBGroups 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
Methuosis Inducer SGI-1027 Cooperates with Everolimus to Promote Apoptosis and Pyroptosis by Triggering Lysosomal Membrane Permeability in Renal CancerAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
Summary (written by the submitters)
Renal cell carcinoma (RCC) is one of the most common malignant tumors of urinary system. The Food and Drug Administration (FDA) has approved everolimus for the treatment of advanced RCC, but r everolimus resistance limits its application in clinic. We here reported the DNA methyltransferase 1 (DNMT1) inhibitor SGI-1027 as an inducer of methuosis, a type of cell death form independent of apoptosis.
Read the full summary ↓
Additionally, SGI-1027 and everolimus worked in concert to suppress the proliferation, migration, and invasion of renal cancer cells while also inducing apoptosis and GSDME-dependent pyroptosis. In vitro transplanted tumor mice models, everolimus combined with SGI-1027 played a significant inhibitory effect on the growth of renal cancer tumors with good tolerance. The objective of this study is to explore the mechanism of the synergistic effect of everolimus and SGI-1027. We demonstrated through analysis of transcriptome high-throughput sequencing data that lysosomes were strongly linked with the synergistic effect of everolimus and SGI-1027 at the transcriptional level, which provides a new strategy for everolimus resistance and the treatment of advanced RCC.
Published in
Methuosis Inducer SGI-1027 Cooperates with Everolimus to Promote Apoptosis and Pyroptosis by Triggering Lysosomal Membrane Permeability in Renal Cancer
Luo Y, Guan B, Deng X et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2024 · PMID 39119834 · doi:10.1002/advs.202404693
This dataset
Open GSE242110 in finder → Find more human RNA-seq datasets → Kidney cancer landscape →
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 GSE242110_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 PRJNA1011338 and SRA study SRP457824. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39119834) ↗
Study design
3 × Vehicle(DMSO) vs 3 × Everolimmuys vs 3 × SGI-1027 vs 3 × COMB

Supports a between-group comparison across 12 samples.

How we read this: 4 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
More Kidney cancer datasets

Search all human RNA-seq datasets in GEO →

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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.