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EMILIN1 suppresses cell proliferation by inactivating Aurora Kinase and cell cycle regulator in head and neck squamous cell carcinoma

GSE253677 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/01/15 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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)
Topic
Head and neck cancerThis series is part of our curated briefing on it.
Samples
36 samples: 12 conditions, mostly in triplicateGroups 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
EMILIN-1 Suppresses Cell Proliferation through Altered Cell Cycle Regulation in Head and Neck Squamous Cell CarcinomaThe American journal of pathology · 2025
Summary (written by the submitters)
The extracellular matrix (ECM) proteins play an important role in the physiological and pathological processes of tumor development and progression. EMILIN1 (Elastic Microfibril Interface Located ProteIN-1), a homotrimeric ECM glycoprotein, has been reported to be associated with cell adhesion and migration. We previously identified downregulated-EMILIN1 as a prognostic biomarker for secondary primary malignancy in head and neck squamous cell carcinoma (HNSCC).
Read the full summary ↓
We hypothesized that EMILIN1 functions as a tumor suppressor in HNSCC. In this study, we overexpressed exogenous EMILIN1 expression in the FaDu and CAL27 cell lines and knockdown EMILIN1 expression in both HNSCC Cancer-Associated Fibroblast (CAF) and normal fibroblast cells. Our results showed that EMILIN1 overexpression decreased cell proliferation, cell migration, and cell invasion in FaDu and CAL27 cells. Knockdown EMILIN1 in CAFs also induced cell proliferation and migration. RNA-sequencing analysis revealed the cell cycle and Aurora kinase signaling as the most significant enrichment pathways, and we then confirmed this finding at the protein level. Furthermore, we studied the effect of EMILIN1 on tumor development in vivo using chick chorioallantoic membrane (CAM) assay. EMILIN1overexpression reduced tumor area, Ki67-positive cells, and increased cleaved caspase-3 apoptotic cells. These findings suggest the tumor suppressing role of EMILIN1 in HNSCC through the inactivation of cell cycle pathway and Aurora kinase signaling. To the best of our knowledge, this is the first study to show that Aurora kinases are the key players in EMILIN1 tumor suppressive functions in head and neck cancer cells.
Published in
EMILIN-1 Suppresses Cell Proliferation through Altered Cell Cycle Regulation in Head and Neck Squamous Cell Carcinoma
Chanpanitkitchote P, Nuanpirom J, Pongsapich W et al. · The American journal of pathology 2025 · PMID 39892781 · doi:10.1016/j.ajpath.2025.01.010
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 GSE253677_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 PRJNA1066749. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
FADU, OverEMILIN1, ×3 FADU, Control, ×3 CAL27, OverEMILIN1, ×3 CAL27, Control, ×3 CAF2, shEMILIN1, ×3 CAF2, shControl, ×3 CAF3, shEMILIN1, ×3 CAF3, shControl, ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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
More Head and neck cancer datasets

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