Tissue factor pathway inhibitor promotes the migration, proliferation and colonization of MSCs by regulating CXCL12/CXCR4 signaling pathway
RNA-seq (gene expression) · mouse · 20 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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 GSE295816_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1256426 and SRA study SRP581794. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8958009 Control_1 Control
- GSM8958010 Control_2 Control
- GSM8958011 Control_3 Control
- GSM8958012 Control_4 Control
- GSM8958013 ALI_1 ALI
- GSM8958014 ALI_2 ALI
- GSM8958015 ALI_3 ALI
- GSM8958016 ALI_4 ALI
- GSM8958017 ALI_TFPI_1 ALI_TFPI
- GSM8958018 ALI_TFPI_2 ALI_TFPI
- GSM8958019 ALI_TFPI_3 ALI_TFPI
- GSM8958020 ALI_TFPI_4 ALI_TFPI
- GSM8958021 ALI_MSC_1 ALI_MSC
- GSM8958022 ALI_MSC_2 ALI_MSC
- GSM8958023 ALI_MSC_3 ALI_MSC
- GSM8958024 ALI_MSC_4 ALI_MSC
- GSM8958025 ALI_TFPI_MSC_1 ALI_TFPI_MSC
- GSM8958027 ALI_TFPI_MSC_2 ALI_TFPI_MSC
- GSM8958035 ALI_TFPI_MSC_3 ALI_TFPI_MSC
- GSM8958037 ALI_TFPI_MSC_4 ALI_TFPI_MSC
- GSE275908 CXCL12-CXCR4 signaling mediates the formation of a macrophageal niche for mammary gland development and tumorigenesis 30 samples shares cxcl12, cxcr4
- GSE262432 CXCL12-CXCR4 signaling mediates the formation of a macrophageal niche for mammary gland stem cells 17 samples shares cxcl12, cxcr4
- GSE275906 CXCL12-CXCR4 signaling mediates the formation of a macrophageal niche for mammary tumorigenesis [tumor] 10 samples shares cxcl12, cxcr4
- GSE301374 Inhibition of H3K79me2 by DOT1L inhibitor EPZ5676 promotes mouse embryonic lung branching morphogenesis via increasing epithelium proliferation 9 samples shares proliferation, inhibitor, promotes
- GSE255180 Inhibiting CXCR4 Attenuates TOX-Programmed Exhausted Phenotype of CD8+ T cells via Regulating JAK2/STAT3 Pathway [RNA-Seq] 20 samples shares cxcr4, regulating
- GSE262444 Inhibiting CXCR4 Attenuates TOX-Programmed Exhausted Phenotype of CD8+ T cells via Regulating JAK2/STAT3 Pathway [scATAC-seq; scRNA-seq] 4 samples shares cxcr4, regulating
- GSE300925 Lyn expression in macrophages promotes TLR activation and restricts proliferation in an isoform-independent manner 48 samples shares proliferation, promotes
- GSE297349 CRISPR-Cas9 Screening Reveals Microproteins Regulating Adipocyte Proliferation and Lipid Metabolism [RNA-seq] 18 samples shares proliferation, regulating
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.