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RNAseq profiling of eSCC human cell lines (KYSE-410 and KYSE-30) transfected with siRNA targeting INPPL1 (siSHIP2) ; and a non-targeting siRNA (siCT)

GSE311623 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2025/11/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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
10 samples: 3 × KYSE-410 - siRNA CTRL replicate # vs 3 × KYSE-410 - siRNA SHIP2 replicate # vs 2 × KYSE-30 - siRNA CTRL replicate # vs 2 × KYSE-30 - siRNA SHIP2 replicate #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
SHIP2-PLK1 crosstalk promotes sensitivity to dual inhibition in esophageal squamous cell carcinomaMolecular cancer · 2025
Summary (written by the submitters)
In our study, we used mRNA sequencing to investigate the effect of SHIP2 knockdown on the transcriptome of KYSE-410 cells.
Published in
SHIP2-PLK1 crosstalk promotes sensitivity to dual inhibition in esophageal squamous cell carcinoma
Ramos AR, Bregni G, Gillet N et al. · Molecular cancer 2025 · PMID 41188852 · doi:10.1186/s12943-025-02454-z
This dataset
Open GSE311623 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 GSE311623_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 PRJNA1370028 and SRA study SRP649238. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41188852) ↗
Study design
3 × KYSE-410 - siRNA CTRL replicate # vs 3 × KYSE-410 - siRNA SHIP2 replicate # vs 2 × KYSE-30 - siRNA CTRL replicate # vs 2 × KYSE-30 - siRNA SHIP2 replicate #

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 10 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
Datasets on a similar topic

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