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Expanding the droplet-based microfluidic single-cell toolbox with a cost-effective full-length total RNA sequencing technology

GSE282074 Homo sapiens (human) Single-cell RNA-seq 32 samples Submitted 2026/04/01 Platform GPL30173Platform GPL24676
At a glance

Single-cell RNA-seq · human · 32 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
32 samples: 14 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
sc-rDSeq: a robust and cost-effective full-length total RNA sequencing method for single cells reveals multilayered heterogeneity in drug-resistant lung cancer cellsNucleic acids research · 2026
Summary (written by the submitters)
We developed sc-rDSeq, a high-throughput single-cell full-length total RNA sequencing technology and validated its performance using human cancer cell line, showed benchmarking against traditional scRNAseq method inDrops. sc-rDSeq was further applied in a drug resistance study on NSCLC lines treated with EGFR inhibitors Gefitinib and Osimertinib.
Published in
sc-rDSeq: a robust and cost-effective full-length total RNA sequencing method for single cells reveals multilayered heterogeneity in drug-resistant lung cancer cells
Sun X, Dadon SL, Ennis D et al. · Nucleic acids research 2026 · PMID 41978262 · doi:10.1093/nar/gkag312
This dataset
Open GSE282074 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 GSE282074_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1186951 and SRA study SRP545602. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41978262) ↗
Study design
14 conditions, mostly in duplicate
PC9,DMSO, ×2 PC9,Gefitinib, ×2 PC9,bulk,ratio,1000, ×2 PC9,bulk,ratio,100, ×2 PC9,bulk,ratio,10, ×2 PC9,bulk,ratio,1, ×2 PC9,bulk,rDSeq,cell, ×2 PC9,bulk,rDSeq,RNA, ×2 +10 more

Supports a between-group comparison across 28 samples.

How we read this: 14 replicated groups read from 32 sample titles; they account for 28 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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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.