2026-10-14T20:04:27Z https://www.scidb.cn/oai

10.57760/sciencedb.45727 2026-08-12T10:43:10Z

2026-08-12 RNA-seq dataset of bone metastasis tissues from wild-type and POSTN knockout mice with TNBC doi:10.57760/sciencedb.45727 en This dataset contains transcriptomic profiles of 4T1 tumor cells isolated from the bone marrow of Postn+/+ and Postn−/− mice in a left ventricular injection induced 4T1 bone metastasis model. Three groups of samples were included: CTRL_4T1 (control group), WT_4T1 (Postn+/+ mice bearing 4T1 tumors), and KO_4T1 (Postn−/− mice bearing 4T1 tumors). RNA sequencing data were generated from isolated bone marrow-derived 4T1 tumor cells using an Illumina sequencing platform. Sequencing reads were processed through quality control procedures and aligned to the reference mouse genome. Gene expression levels were quantified using featureCounts and normalized as fragments per kilobase of transcript per million mapped reads (FPKM). The dataset contains processed RNA-sequencing expression matrices, including raw read counts and normalized FPKM expression values. In the expression matrix files, rows represent genes, and columns represent individual biological samples.Differential expression analysis was performed to identify transcriptional differences among different experimental groups. Differential expression files contain gene identifiers, gene names, log2 fold changes, p-values, and adjusted p-values (false discovery rate, FDR). Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, are also provided to characterize biological processes and signaling pathways associated with transcriptional regulation induced by alterations in host POSTN status. Breast cancer; bone metastasis; Periostin; osteoclast differentiation; Dll1 Liu Xin PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank