Loss of the C-terminus of p63 leads to an increased expression of extracellular matrix genes in keratinocytes [RNA-seq]
RNA-seq (gene expression) · mouse · 14 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
- Mus musculus (mouse)
- Samples
- 14 samples: 4 × p63alpha_Epidermis vs 4 × p63beta_Epidermis vs 3 × p63alpha_Ker_RNA vs 3 × p63beta_Ker_RNAGroups 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.
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE241109_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1004840. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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.
- GSM7716882 p63alpha_Ker_RNA_R1 p63alpha_Ker_RNA
- GSM7716883 p63alpha_Ker_RNA_R2 p63alpha_Ker_RNA
- GSM7716884 p63alpha_Ker_RNA_R3 p63alpha_Ker_RNA
- GSM7716885 p63beta_Ker_RNA_R1 p63beta_Ker_RNA
- GSM7716886 p63beta_Ker_RNA_R2 p63beta_Ker_RNA
- GSM7716887 p63beta_Ker_RNA_R3 p63beta_Ker_RNA
- GSM8588357 p63alpha_Epidermis_R1 p63alpha_Epidermis
- GSM8588358 p63alpha_Epidermis_R2 p63alpha_Epidermis
- GSM8588359 p63alpha_Epidermis_R3 p63alpha_Epidermis
- GSM8588360 p63alpha_Epidermis_R4 p63alpha_Epidermis
- GSM8588361 p63beta_Epidermis_R1 p63beta_Epidermis
- GSM8588362 p63beta_Epidermis_R2 p63beta_Epidermis
- GSM8588363 p63beta_Epidermis_R3 p63beta_Epidermis
- GSM8588364 p63beta_Epidermis_R4 p63beta_Epidermis
- GSE293374 An extracellular matrix niche secreted by epithelial cells drives intestinal organoid formation (RNA-seq) 44 samples shares extracellular, rna-seq, matrix
- GSE293383 Viscoelastic Extracellular Matrix Enhances Epigenetic Remodeling and Cellular Plasticity [RNA-seq] 12 samples shares extracellular, rna-seq, matrix
- GSE283112 Large-scale reorganization of DNA methylation and upregulation of extracellular matrix genes in cocaine reward-related hippocampal learning [RNA-seq] 10 samples shares extracellular, rna-seq, matrix
- GSE308939 Single-cell RNA-seq reveals the keratinocyte heterogeneity and increased interfollicular basal keratinocytes in wound-induced hair follicle neogenesis 6 samples shares keratinocytes, increased, rna-seq
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares extracellular, matrix
- GSE287100 Sex-specific extracellular matrix remodeling in skeletal muscle after extended immobilization 112 samples shares extracellular, matrix
- GSE186649 A mitochondrial long-chain fatty acid oxidation defect in a mouse leads to dysregulation of plasma long-chain acylcarnitines, dysregulation of plasma amino acids, and an increased reliance on glucocorticoid signaling to maintain euglycemia during fasting 50 samples shares increased, leads
- GSE272272 Changes in the astrocyte translatome induced by developmental ethanol mediate dysregulation of neuronal development: role of the extracellular matrix and relevance to Fetal Alcohol Spectrum Disorders 48 samples shares extracellular, matrix
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.