Oncogenic Calreticulin Induces Immune Escape by Stimulating TGF-β Expression and Regulatory T Cell Expansion in the Bone Marrow Microenvironment
Expression microarray · mouse · 12 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 4 × 32D-MPL-Calr(WT) vs 4 × 32D-MPL-Calr(ins5) vs 2 × Empty vector Bone Marrow vs 2 × MPL-Calr(del52) Bone MarrowGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
- Paper
- Oncogenic Calreticulin Induces Immune Escape by Stimulating TGFβ Expression and Regulatory T-cell Expansion in the Bone Marrow MicroenvironmentCancer research · 2024
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 GSE241365_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 arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA1007750 and SRA study SRP456203. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7717553 32D-MPL-Calr(WT) 6 32D-MPL-Calr(WT)
- GSM7717554 32D-MPL-Calr(WT) 3 32D-MPL-Calr(WT)
- GSM7717555 32D-MPL-Calr(WT) 2 32D-MPL-Calr(WT)
- GSM7717556 32D-MPL-Calr(WT) 1 32D-MPL-Calr(WT)
- GSM7717557 32D-MPL-Calr(ins5) 6 32D-MPL-Calr(ins5)
- GSM7717558 32D-MPL-Calr(ins5) 5 32D-MPL-Calr(ins5)
- GSM7717559 32D-MPL-Calr(ins5) 3 32D-MPL-Calr(ins5)
- GSM7717560 32D-MPL-Calr(ins5) 1 32D-MPL-Calr(ins5)
- GSM7727712 Empty vector Bone Marrow 2 Empty vector Bone Marrow
- GSM7727713 Empty vector Bone Marrow 3 Empty vector Bone Marrow
- GSM7727714 MPL-Calr(del52) Bone Marrow 3 MPL-Calr(del52) Bone Ma…
- GSM7727715 MPL-Calr(del52) Bone Marrow 5 MPL-Calr(del52) Bone Ma…
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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.