Improved Smart-Seq for sensitive full-length transcriptome profiling in single cells
Single-cell RNA-seq · human · 76 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
- 76 samples
- 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.
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 GSE49321_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 PRJNA213629 and SRA study SRP028301. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 76 more — browse all 76 samples with per-sample file links →
- GSE38495 Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells 121 samples shares full-length
- GSE267187 DMF-ChIP-seq for Highly Sensitive and Integrated Epigenomic Profiling of Low-input Cells 23 samples shares sensitive
- GSE278959 Genome-wide DNA replication profiling and full-length total RNA sequencing from the same single cell 546 samples shares full-length
- GSE204785 Full-length direct RNA sequencing uncovers stress-granule dependent RNA decay upon cellular stress 39 samples shares full-length
- GSE283706 Af-CUT&Tag: A Sensitive and Antibody-Free Chromatin Profiling Method Using Genetically Encoded Tags and High-Affinity Binders Fused to Tn5 65 samples shares sensitive
- GSE286875 Improved spike-in normalization clarifies the relationship between active histone modifications and transcription 244 samples shares improved
- GSE315648 Sensitive monitoring of enhancer and noncoding RNA transcription via ribozyme-assisted RNA editing 71 samples shares sensitive
- GSE283705 Af-CUT&Tag: A Sensitive and Antibody-Free Chromatin Profiling Method Using Genetically Encoded Tags and High-Affinity Binders Fused to Tn5 5 samples shares sensitive
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.