Xenophagocytosis blockade enhances interspecies chimerism
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: 4 × E11.5 head, chimera vs 4 × E11.5 body, chimera vs 3 × E9.5 head, chimera vs 3 × E9.5 body, chimeraGroups 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 GSE330329_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 PRJNA1463648 and SRA study SRP698636. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 14 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.
- GSM9724056 Adult, bone marrow
- GSM9724057 Adult, peritoneal wash
- GSM9724058 E9.5 head, chimera 1 E9.5 head, chimera
- GSM9724059 E9.5 body, chimera 1 E9.5 body, chimera
- GSM9724060 E9.5 head, chimera 2 E9.5 head, chimera
- GSM9724061 E9.5 body, chimera 2 E9.5 body, chimera
- GSM9724062 E9.5 head, chimera 3 E9.5 head, chimera
- GSM9724063 E9.5 body, chimera 3 E9.5 body, chimera
- GSM9724064 E9.5 head, nonchimera
- GSM9724065 E9.5 body, nonchimera
- GSM9724066 E11.5 head, chimera 1 E11.5 head, chimera
- GSM9724067 E11.5 body, chimera 1 E11.5 body, chimera
- GSM9724068 E11.5 head, chimera 2 E11.5 head, chimera
- GSM9724069 E11.5 body, chimera 2 E11.5 body, chimera
- GSM9724070 E11.5 head, chimera 3 E11.5 head, chimera
- GSM9724071 E11.5 body, chimera 3 E11.5 body, chimera
- GSM9724072 E11.5 head, chimera 4 E11.5 head, chimera
- GSM9724073 E11.5 body, chimera 4 E11.5 body, chimera
- GSM9724074 E11.5 head, nonchimera
- GSM9724075 E11.5 body, nonchimera
- GSE310218 Dietary methionine restriction primes T cell metabolism for activation and tumor inhibition and enhances the efficacy of immune checkpoint blockade 21 samples shares blockade, enhances
- GSE301140 Dual Programmed Death Receptor-1 and Vascular Endothelial Growth Factor Receptor-2 Blockade Promotes Vascular Normalization and Enhances Antitumor Immune Responses in Hepatocellular Carcinoma 18 samples shares blockade, enhances
- GSE252052 Blockade of PF4-induced Th1-Treg polarization enhances anti-tumor immunity (Bulk RNA-Seq) 12 samples shares blockade, enhances
- GSE280861 Combined blockade of CXCR4 and PD1 enhances intratumoral dendritic cell activation and immune responses against hepatocellular carcinoma 10 samples shares blockade, enhances
- GSE299761 METTL5 Blockade Enhances Anti-Tumor Immune Response via Inducing Neoantigen Generation 19 samples shares blockade, enhances
- GSE299686 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [bulk RNA-seq] 178 samples shares blockade
- GSE299683 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [scRNA-seq] 125 samples shares blockade
- GSE253444 Combining TIGIT blockade with MDSC inhibition hinders breast cancer bone metastasis by activating anti-tumor immunity 55 samples shares blockade
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.