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Extracellular matrix derived from dental pulp stem cells promotes osteogenic differentiation of gingival fibroblasts via Wnt and Hippo signaling pathway

GSE226347 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/03/27 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: 3 × N-dECM_DPSCs vs 3 × OM-dECM_DPSCs vs 3 × N-dECM_GSCs vs 3 × OM-dECM_GSCsGroups 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
Human dental pulp stem cells derived extracellular matrix promotes mineralization via Hippo and Wnt pathwaysScientific reports · 2024
Summary (written by the submitters)
This study investigated the efficacy of decellularized ECM derived from human dental pulp stem cells (dECM_DPSCs) and gingival-derived mesenchymal stem cells (dECM_GSCs) as an inductive scaffold for osteogenic differentiation of GSCs.  ECM was constructed from DPSCs and GSCs that were cultured in a growth medium supplemented with L-ascorbic acid (N-ECM) or osteogenic induction medium (OM-ECM). The gene expression profile was examined using a high-throughput RNA sequencing technique.
Published in
Human dental pulp stem cells derived extracellular matrix promotes mineralization via Hippo and Wnt pathways
Kornsuthisopon C, Nowwarote N, Chansaenroj A et al. · Scientific reports 2024 · PMID 38514682 · doi:10.1038/s41598-024-56845-1
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 GSE226347_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 PRJNA939905 and SRA study SRP425062. Searching any of these in the dataset finder brings you back here.

Study design
3 × N-dECM_DPSCs vs 3 × OM-dECM_DPSCs vs 3 × N-dECM_GSCs vs 3 × OM-dECM_GSCs

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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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.