The raw data corresponding to bulk RNA-seq datasets generated in this study have been deposited in the Gene Expression Omnibus (GEO) repository under accession numbers GSE313249 (tdTomato+ 4T1 tumour cells from NSG versus BALB/c mice across disease stages) and GSE313241 (GFP+ 4T1 DTCs from Jedi versus NSG mice). scRNA-seq raw data have been deposited in the GEO under accession numbers GSE313245 (GFP+ versus Thy1.1+ 4T1 DTCs after Jedi adoptive transfer) and GSE313243 (tdTomato-cTAT-zsGreen niche labelling of shGR versus shControl 4T1 DTCs). CUT&RUN raw data have been deposited in the GEO under accession number GSE313250. Clinical trial data from TBCRC-030 are available on reasonable request. Any additional data reported in this study are available on request. All other datasets reanalysed in this study are publicly available70 (AURORA US, https://cbioportal.org; TCGA, https://xenabrowser.net/ and http://gepia2.cancer-pku.cn/; meta-analysis of patients with TNBC, https://kmplot.com/analysis; Tabula Muris, https://tabula-muris.sf.czbiohub.org/). Source data are provided with this paper.
No custom code was used in the generation of the data in this study. Data analysis using public software packages is described in the Methods.
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Qin, Q. et al. Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data. Genome Biol. 21, 32 (2020).
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