Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology
Single-cell RNA-seq · mouse · 1248 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 1248 samples: 400 × 4T1, Day4, single cellGroups 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.
Read the full summary ↓
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 GSE241165_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 PRJNA1006666 and SRA study SRP455797. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 400 samples.
How we read this: 1 replicated groups read from the first 400 of 1248 sample titles; they account for 400 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.
- GSM7717577 4T1, Day4, single cell 1 4T1, Day4, single cell
- GSM7717578 4T1, Day4, single cell 2 4T1, Day4, single cell
- GSM7717579 4T1, Day4, single cell 3 4T1, Day4, single cell
- GSM7717580 4T1, Day4, single cell 4 4T1, Day4, single cell
- GSM7717581 4T1, Day4, single cell 5 4T1, Day4, single cell
- GSM7717582 4T1, Day4, single cell 6 4T1, Day4, single cell
- GSM7717583 4T1, Day4, single cell 7 4T1, Day4, single cell
- GSM7717584 4T1, Day4, single cell 8 4T1, Day4, single cell
- GSM7717585 4T1, Day4, single cell 9 4T1, Day4, single cell
- GSM7717586 4T1, Day4, single cell 10 4T1, Day4, single cell
- GSM7717587 4T1, Day4, single cell 11 4T1, Day4, single cell
- GSM7717588 4T1, Day4, single cell 12 4T1, Day4, single cell
- GSM7717589 4T1, Day4, single cell 13 4T1, Day4, single cell
- GSM7717590 4T1, Day4, single cell 14 4T1, Day4, single cell
- GSM7717591 4T1, Day4, single cell 15 4T1, Day4, single cell
- GSM7717592 4T1, Day4, single cell 16 4T1, Day4, single cell
- GSM7717593 4T1, Day4, single cell 17 4T1, Day4, single cell
- GSM7717594 4T1, Day4, single cell 18 4T1, Day4, single cell
- GSM7717595 4T1, Day4, single cell 19 4T1, Day4, single cell
- GSM7717596 4T1, Day4, single cell 20 4T1, Day4, single cell
- GSM7717597 4T1, Day4, single cell 21 4T1, Day4, single cell
- GSM7717598 4T1, Day4, single cell 22 4T1, Day4, single cell
- GSM7717599 4T1, Day4, single cell 23 4T1, Day4, single cell
- GSM7717600 4T1, Day4, single cell 24 4T1, Day4, single cell
- GSM7717601 4T1, Day4, single cell 25 4T1, Day4, single cell
- GSM7717602 4T1, Day4, single cell 26 4T1, Day4, single cell
- GSM7717603 4T1, Day4, single cell 27 4T1, Day4, single cell
- GSM7717604 4T1, Day4, single cell 28 4T1, Day4, single cell
- GSM7717605 4T1, Day4, single cell 29 4T1, Day4, single cell
- GSM7717606 4T1, Day4, single cell 30 4T1, Day4, single cell
- GSM7717607 4T1, Day4, single cell 31 4T1, Day4, single cell
- GSM7717608 4T1, Day4, single cell 32 4T1, Day4, single cell
- GSM7717609 4T1, Day4, single cell 33 4T1, Day4, single cell
- GSM7717610 4T1, Day4, single cell 34 4T1, Day4, single cell
- GSM7717611 4T1, Day4, single cell 35 4T1, Day4, single cell
- GSM7717612 4T1, Day4, single cell 36 4T1, Day4, single cell
- GSM7717613 4T1, Day4, single cell 37 4T1, Day4, single cell
- GSM7717614 4T1, Day4, single cell 38 4T1, Day4, single cell
- GSM7717615 4T1, Day4, single cell 39 4T1, Day4, single cell
- GSM7717616 4T1, Day4, single cell 40 4T1, Day4, single cell
+ 1208 more — browse all 1248 samples with per-sample file links →
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares different, stages
- GSE331360 Bulk RNA sequencing of bone marrow-derived macrophages from WT and Ch25h-KO mice under different treatment conditions 24 samples shares different, bone
- GSE196249 Secondary LPS stimulation of BMDMs differentiated from bone marrow of C57B/6J mice treated with 4xLPS, 1xLPS or PBS 18 samples shares different, bone
- GSE293533 Bulk RNA sequencing of bone marrow CD8+ T cells in BMF mice treated with or without baricitinib at different time points 16 samples shares different, bone
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares smart-seq2
- GSE303081 A spatial and projection-based transcriptomic atlas of paraventricular hypothalamic cell types (Smart-Seq2) 81 samples shares smart-seq2
- GSE236067 RNA-Seq of drug-treated and control 4T1 cells 12 samples shares 4t1
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares different
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.