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Functional Transition of CD11b+CD33+HLA-DR-/lowCD14- G-MDSC: Immunostimulation to Immunosuppression Post Allo-HSCT

GSE260477 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/06/25 Platform GPL30209
At a glance

RNA-seq (gene expression) · human · 14 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
Homo sapiens (human)
Samples
14 samples: 7 × G-MDSCs,after FACS sorting, 28days, vs 7 × G-MDSCs,after FACS sorting, 90days,Groups 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.
Paper
Dual roles of CD11b(+)CD33(+)HLA-DR(-/low)CD14(-) myeloid-derived suppressor cells with a granulocytic morphology following allogeneic hematopoietic stem cell transplantation: from inflammation promoters to immune suppressors within 90 daysFrontiers in immunology · 2024
Summary (written by the submitters)
The prediction of acute graft-versus-host disease (aGvHD) post allogeneic hematopoietic stem cell transplantation (allo-HSCT) is critical for treatment decisions. The granulocytic myeloid-derived suppressor cells (G-MDSCs) show a fast recovery post-transplantation and constituted the major part of peripheral blood in the early phase after allo-HSCT.
Read the full summary ↓
These cells were previously believed to exhibit immunosuppressive properties. However, they also promote inflammation under specific conditions. Thus, we conducted a comprehensive study of G-MDSCs from 82 patients after allo-HSCT within 90 days to elucidate the role of them in post-transplantation immunity. Strikingly, our results showed that G-MDSCs promoted inflammation in the early-stage, by facilitating cytokine secretion and proliferation of T cells, as well as their differentiation into pro-inflammatory T helper subsets. At day 28, patients with a higher number of G-MDSCs exhibited an increased risk of developing aGvHD. Besides, adoptive transfer of G-MDSCs from patients into humanized mice exacerbated aGvHD. However, at day 90, G-MDSCs showed immunosuppressive features, characterized by upregulated expression of indoleamine 2,3-dioxygenase gene and interleukin-10 secretion, coupled with the inhibition of T cell proliferation. Furthermore, transcriptional analysis of G-MDSCs at day 28 and day 90 revealed that a total of 1445 genes were differentially expressed. Genes linked to the endoplasmic reticulum stress were upregulated in patients without aGvHD. After the genetic overlap analysis, DERL1 may be the hub-gene. Our findings elucidate the alteration in the immune characteristics of G-MDSCs within the first 90 days post allo-HSCT. Moreover, the quantity of G-MDSCs at day 28 could serve as a predictive indicator for aGvHD.
Published in
Dual roles of CD11b(+)CD33(+)HLA-DR(-/low)CD14(-) myeloid-derived suppressor cells with a granulocytic morphology following allogeneic hematopoietic stem cell transplantation: from inflammation promoters to immune suppressors within 90 days
Ni M, Cui J, Yang X et al. · Frontiers in immunology 2024 · PMID 39040102 · doi:10.3389/fimmu.2024.1403272
This dataset
Open GSE260477 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE260477_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1081857 and SRA study SRP492366. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39040102) ↗
Study design
7 × G-MDSCs,after FACS sorting, 28days, vs 7 × G-MDSCs,after FACS sorting, 90days,

Supports a between-group comparison across 14 samples.

How we read this: 2 replicated groups read from 14 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.

Samples in this study
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