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RNA-seq of THP-1 and U937 exposed to enamel matrix derivative.

GSE307844 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/09/16 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples
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.
Summary (written by the submitters)
Enamel matrix derivatives (EMDs) treat periodontal defects and gingival recession, a process where macrophages are believed to contribute to the clinical outcome. However, the present findings are heterogeneous, raising the need for standardized bioassays to better understand and monitor EMD activity in vitro. To this aim, we have conducted THP-1 and U937, both widely established monocytic cell lines, as bioassays in EMD research.
Read the full summary ↓
To understand their differential response to EMD, we employed an RNA-seq approach to identify changes in the genetic signatures of THP-1 and U937 cells. When applying a threshold of 1.5 log2 fold-change and a significance of 2.0-log10, we could identify 5/37 and 30/23 up-and-down-regulated genes in THP1 and U937 cells, respectively. In THP-1, the upregulated genes included S100A8, S100A9 and CD38; downregulated gene included ADM, CD48, IL24, MMP1, and PDGFB. In U937, most striking was the increase of alpha subunit integrins ITGA1, ITGA2, ITGA6, and the decrease of genes including OLR1, CCL1, CCL4L2, CCL8, IL21R, MMP7, PDGFB and MMP25. We further show that the TGF-β receptor type I kinase inhibitor SB431542 blocked the expression changes of S100A8, S100A9, CD38, ITGA2, ITGA6, and OLR1 but failed to reverse PDGFB. These data serve as a primer for developing macrophage bioassays to measure EMD activity in the context of TGF-β signaling.
This dataset
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.

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 GSE307844_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1327401 and SRA study SRP619255. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 12 individual samples

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

How we read this: Sample titles run LP05001 … LP040011 and carry no group information.

Samples in this study
Datasets on a similar topic

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