Data from: Single-cell transcriptomic analysis of tumor-derived fibroblasts and normal tissue-resident fibroblasts reveals fibroblast heterogeneity in breast cancer
Data files
May 22, 2020 version files 395.79 MB
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4T1_Thy1.1_CAFs_raw.txt
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4T1_viable_raw_counts.txt
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MT3_CAFs_raw.txt
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Normal_mammary_fibroblasts_raw.txt
Abstract
Methods
We performed scRNA-seq of all viable cells from 4T1 tumors, immune-depleted stromal cells from 4T1-Thy1.1 tumor, immune-depleted cells from mT3 subcutaneous tumors and fibroblasts isolated from normal mammary fat pads. Tissues were processed to obtain single cell suspensions of cell populations of interest as described before (Hum et al, Cancers 2020; doi.org/10.3390/cancers12030690) and prepared for single cell sequencing using Chromium Single Cell 3ʹ GEM, Library & Gel Bead Kit v3 (10X Genomics, Pleasanton, CA, USA; Catalog no. 1000075) on a 10X Genomics Chromium Controller following manufacturers protocol. scRNA-Seq libraries were sequenced using Illumina NextSeq 500. The Cell Ranger Single-Cell Software Suite (10X Genomics, Pleasanton, CA, USA) was used to perform sample demultiplexing, barcode processing, and single-cell 3′gene counting. Samples were aligned to the mouse genome (mm10) using “cellranger mkfastq” with default parameters. Unique molecular identifier (UMI) counts were generated using “cellranger count”. Further analysis was performed in R using the Seurat package.
Usage notes
Raw gene expression counts are provided for:
- all viable cells from 4T1 tumors (4T1_vaibale_raw_counts.txt),
- CAFs from 4T1-Thy1.1 tumor (4T1_Thy1.1_CAF_raw.txt),
- CAFs from mT3 tumor (MT3_CAF_raw.txt) and
- normal mammary fibroblasts (Normal_mammary_fibroblasts_raw.txt).