← BioTransfer GEO Dataset Finder
GEO series

Gene expression of Sargassum micracanthum extracts on human deraml fibroblast cells

GSE315768 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/01/11 Platform GPL28038
Summary
Sargassum micracanthum, a brown macroalga rich in bioactive metabolites, has been widely recognized for its pharmacological potential. However, its role in collagen production and extracellular matrix (ECM) remodeling for skin regeneration remains largely unexplored. Therefore, this study examined the effects of S. micracanthum ethanolic extract on collagen-related pathways in human dermal fibroblasts (HDFs) through RNA sequencing and in vitro analysis. A total of 657 differentially expressed genes were identified, including 15 associated with collagen synthesis. Notably, COL4A1, COL4A2, COL5A3, and COL18A1 were significantly upregulated in the extract-treated group. Gene ontology analysis revealed enrichment in collagen-related terms, while WikiPathway analysis indicated upregulation of growth-factor-related pathways, which are crucial for cell proliferation, ECM remodeling, and tissue regeneration. In vitro experiments demonstrated a dose-dependent increase in collagen production, with a significant enhancement observed at 100 μg/mL (p < 0.05). These findings demonstrate the potential applicability of S. micracanthum in skin regeneration and biomedical therapies.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE315768_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1207619 and SRA study SRP555952. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.