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RNA sequencing of spheroids from HUVECs for differences in Cis- and Trans-signaling of IL-11

GSE234142 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/09/20 Platform GPL30173
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: 3 × Spheroids, VEGF vs 3 × Spheroids, IL11_VEGF vs 3 × Spheroids, IL11Rec_VEGF vs 3 × Spheroids, IL11_IL11Rec_VEGFGroups 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
Characterization of the angiomodulatory effects of Interleukin 11 cis- and trans-signaling in the retinaJournal of neuroinflammation · 2024
Summary (written by the submitters)
Cytokines of the IL-6 family, such as IL-11, may influence angiogenesis. Our experiments showed opposite angiogenic effects on HUVECs depending on cis- or transsignaling of IL-11. Spheroids from the 3D angiogenesis model (spheroid sprouting assay) were lysed in QIAzole buffer by vigorous vortexing. The transcriptomic changes were analyzed by RNA sequencing.
Published in
Characterization of the angiomodulatory effects of Interleukin 11 cis- and trans-signaling in the retina
Liang P, Ness J, Rapp J et al. · Journal of neuroinflammation 2024 · PMID 39294742 · doi:10.1186/s12974-024-03223-3
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 GSE234142_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 PRJNA980188 and SRA study SRP441133. Searching any of these in the dataset finder brings you back here.

Study design
3 × Spheroids, VEGF vs 3 × Spheroids, IL11_VEGF vs 3 × Spheroids, IL11Rec_VEGF vs 3 × Spheroids, IL11_IL11Rec_VEGF

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.

Samples in this study
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