HybriSeq: Probe-based Device-free Single-cell RNA Profiling
Single-cell RNA-seq · human · 13 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
- 13 samples: 3 × HEK293_37C vs 3 × HEK293_90C vs 2 × HEK293_Do-11-10Groups 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
- HybriSeq: probe-based device-free single-cell RNA profilingCommunications biology · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE292322_RAW.tar (it can run to tens of gigabytes).
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: 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 PRJNA1237907 and SRA study SRP571418. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 3 replicated groups read from 13 sample titles; they account for 8 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.
- GSM8856297 HEK293_Do-11-10_mix
- GSM8856298 HEK293_Do-11-10_Rep1 HEK293_Do-11-10
- GSM8856299 HEK293_Do-11-10_Rep2 HEK293_Do-11-10
- GSM8856300 Do-11-10_HybriSeq
- GSM8856301 Do-11-10_RNAseq
- GSM8856302 PBMC
- GSM8856303 HEK293_Tile
- GSM8856304 HEK293_37C_rep1 HEK293_37C
- GSM8856305 HEK293_37C_rep2 HEK293_37C
- GSM8856306 HEK293_37C_rep3 HEK293_37C
- GSM8856307 HEK293_90C_rep1 HEK293_90C
- GSM8856308 HEK293_90C_rep2 HEK293_90C
- GSM8856309 HEK293_90C_rep3 HEK293_90C
- GSE44183 Genetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing 47 samples shares single-cell
- GSE270292 A convenient single-cell newly synthesized transcriptome assay reveals FLI1 regulon downregulation during T-cell activation 33 samples shares single-cell
- GSE242821 Atf3 controls transitioning in female mitochondrial cardiomyopathy as identified by single-cell transcriptomics 26 samples shares single-cell
- GSE300551 Massively multiplex multi-modal chemical screens at single-cell resolution with icCITE-plex 25 samples shares single-cell
- GSE268646 Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing 17 samples shares single-cell
- GSE223550 Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells 13 samples shares single-cell
- GSE299152 Single-cell mapping of the glycocalyx in the adult human and mouse ocular surface 12 samples shares single-cell
- GSE307415 Single-cell RNA and BCR sequencing of age-associated B cells in mouse and human lupus 8 samples shares single-cell
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.