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Graphene-polymer nanofibers enable optically induced electrical maturation in stem cell-derived cardiomyocytes and brain organoids

GSE268981 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2024/06/08 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 23 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
23 samples: 23 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.
Summary (written by the submitters)
Pluripotent stem cell (PSC)-derived electrically excitable cells provide a unique window into human disease and development, but they remain electrically immature compared to their in vivo counterparts, partially due to the lack of chronic stimulation. New classes of on-demand, electrically active biomaterials are being employed to enhance cell functions, and here, we fabricated biocompatible, electrospun polymer nanofibers containing light-reactive reduced graphene oxide (rGO).
Read the full summary ↓
Fiber size, stiffness, and electrical conductivity scaled with rGO concentration which in turn produced conduction-dependent effects in PSC-derived cardiomyocytes and neurons; with acute light stimulation on scaffolds containing rGO, cardiomyocytes exhibited more calcium handling activity and were more synchronous, and neurons showed more peaks with higher frequency. Chronic repetitive, daily light stimulation of nanofibers integrated into mature brain organoids caused organoids to become increasingly more electrically responsive to stimulation over time, mature synapses of excitable neurons, and activate photoreceptor lineage pathways. This work outlines a tunable method where the electrical function of electrically excitable, PSC-derived cells can be titrated with rGO fibers and light stimulation, and it suggests that repetitive light stimulation may provide a novel method for retinal cell differentiation in organoids.
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 GSE268981_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 PRJNA1119548 and SRA study SRP511469. Searching any of these in the dataset finder brings you back here.

Study design
23 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 23 sample titles: 23 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
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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.