Endothelial MMP14 is required for endothelial dependant growth support of human airway basal cells
RNA-seq (gene expression) · human · 10 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
- 10 samples: 10 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.
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 GSE64461_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 PRJNA271060 and SRA study SRP051640. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 sample titles: 10 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.
- GSM1571791 DGM-11374_LA-BC (cross-talk)
- GSM1571792 DGM-01620_LA-BC (cross-talk)
- GSM1571793 DGM-11852_LA-BC (cross-talk)
- GSM1571794 DGM-01657_LA-BC (cross-talk)
- GSM1571795 DGM-10284_LA-BC (cross-talk)
- GSM1571796 DGM-10194_LA-BC (cross-talk)
- GSM1571797 DGM-10568_LA-BC (cross-talk)
- GSM1571798 DGM-10565_LA-BC (cross-talk)
- GSM1571799 DGM-10503_LA-BC (cross-talk)
- GSM1571800 DGM-01774_LA-BC (cross-talk)
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares endothelial
- GSE286040 Endothelial Sensitivity to Pro-Fibrotic Signals Links Systemic exposure to Pulmonary Fibrosis 96 samples shares endothelial
- GSE254249 Remodeling of T and endothelial cells during total neoadjuvant therapy in rectal cancer 92 samples shares endothelial
- GSE294621 Vascular-type heterogeneity is associated with differential gene expression profiles of endothelial cells under shear stress 74 samples shares endothelial
- GSE303084 Pressure Points: Endothelial Responses to Hemodynamic Stress in Health and Pulmonary Arterial Hypertension 72 samples shares endothelial
- GSE327840 RNA-seq profiling of LPS tolerance in monocytes, THP-1, fibroblasts, smooth muscle cells, and endothelial cells 58 samples shares endothelial
- GSE281329 Time-course Transcriptomics Reveals Impact of Treponema pallidum on Microvascular Endothelial Cell Function and Phenotype 39 samples shares endothelial
- GSE267498 Generation of hiPSC-derived brain microvascular endothelial cells using a combination of directed differentiation and transcriptional reprogramming strategies 37 samples shares endothelial
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.