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Differential unfolded protein response regulation in KRAS silencing sensitive versus innately resistant colorectal cancer cells [SW480 and SW837]

GSE283752 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/12/12 Platform GPL20301
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
Colorectal cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × SW480 cells, siControl, vs 3 × SW480 cells, siKRAS, vs 3 × SW837 cells, siControl, vs 3 × SW837 cells, siKRAS,Groups 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
Differential unfolded protein response regulation in KRAS silencing sensitive and innately resistant colorectal cancer cellsScientific reports · 2025
Summary (written by the submitters)
Colorectal cancer (CRC) responses to mutant-selective KRAS inhibitors remain modest, with stable disease and rapid recurrence as the most common outcomes. The molecular mechanisms enabling CRC cells to tolerate KRAS inhibition and ultimately develop resistance remain poorly understood. Here, we investigated early transcriptional and proteomic responses to KRAS silencing in 3D CRC cell line spheroid models, aiming to identify pathways associated with sensitivity or resistance to KRAS blockade.
Read the full summary ↓
Cell lines were stratified into KRAS silencing-sensitive (HCT116 and SW480) and -resistant (LS174T and SW837) groups based on spheroid growth, cell cycle progression, and apoptosis induction. Transcriptional profiling revealed the unfolded protein response (UPR) and WNT/β-catenin signaling as pathways specifically upregulated in KRAS silencing-sensitive cells and downregulated in resistant cells. Proteomic analysis of membrane-enriched fractions further supported UPR deregulation, showing a pronounced downregulation of translation-related proteins in sensitive cells. Functional assays validated that the sensitive cell line HCT116 exhibits reduced protein aggregation and lower translational capacity upon KRAS knockdown, consistent with UPR activation. Pharmacological inhibition of IRE1α-mediated UPR signaling did not revert KRAS silencing-induced cell cycle arrest or apoptosis in this cell line. Collectively, our results highlight the UPR activation as an early adaptive response of KRAS-dependent CRC cells tolerant to KRAS silencing.
Published in
Differential unfolded protein response regulation in KRAS silencing sensitive and innately resistant colorectal cancer cells
Martins F, Machado AL, Carvalho J et al. · Scientific reports 2025 · PMID 40274922 · doi:10.1038/s41598-025-94549-2
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 GSE283752_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 PRJNA1195348 and SRA study SRP549987. Searching any of these in the dataset finder brings you back here.

Study design
3 × SW480 cells, siControl, vs 3 × SW480 cells, siKRAS, vs 3 × SW837 cells, siControl, vs 3 × SW837 cells, siKRAS,

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
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