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Monocyte-derived Macrophages

GSE228087 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/03/20 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Diverse potential of secretome from natural killer cells and monocyte-derived macrophages in activating stellate cellsFrontiers in immunology · 2024
Summary (written by the submitters)
Chronic liver diseases as non-alcoholic steatohepatitis (NASH)-induced cirrhosis are characterized by an increasing accumulation of stressed, damaged, or dying hepatocytes. Hepatocyte damage triggers the activation of resident immune cells, such as Kupffer cells (KC), as well as the recruitment of immune cells from the circulation towards areas of inflammation.
Read the full summary ↓
After infiltration, monocytes differentiate into monocyte-derived macrophages (MoMF) which are functionally distinct from resident KC. We herein aim to compare in vitro signatures of polarized macrophages and activated hepatic stellate cells (HSC) with ex vivo derived disease signatures from human NASH. Secondly, we investigate the effects of the secretome of primary human monocytes, macrophages and NK cells on HSC activation, as in particular monocytes and macrophages have often been linked to liver fibrosis progression. IL-4 and IL-13 treatment induced TGF-β1 secretion by macrophages. However, the supernatant transfer did not induce HSC activation. Interestingly, PMA-activated macrophages showed a strong induction of the fibrosis response genes COL10A1 and CTGF, while supernatant of IL-4/IL-13 treated monocytes induced the upregulation of COL3A1 in HSC. Supernatant of PMA-activated NK cells had the strongest effect on COL10A1 induction in HSC, while IL-15 stimulated NK cells reduced the expression of COL1A1 and CTGF. These data indicate that other factors, aside the well-known cytokines and chemokines, are potentially stronger contributors to activation of HSCs and induction of a fibrotic response, indicating a more diverse and complex role of monocytes, macrophages and NK cells in liver fibrosis progression.
Published in
Diverse potential of secretome from natural killer cells and monocyte-derived macrophages in activating stellate cells
Sauer J, Steixner-Kumar AA, Gabler S et al. · Frontiers in immunology 2024 · PMID 38638443 · doi:10.3389/fimmu.2024.1232070
This dataset
Open GSE228087 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 GSE228087_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 PRJNA948022 and SRA study SRP428968. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38638443) ↗
Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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
Datasets on a similar topic

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