Mechanism of Corynebacterium striatum-mediated inhibition of Staphylococcus aureus-induced epithelial barrier injury and inflammation activation in chronic rhinosinusitis [RNA-Seq]
RNA-seq (gene expression) · human · 50 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
- 50 samples: 50 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 GSE284820_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 PRJNA1200699 and SRA study SRP552733. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 44 samples read as cases, 6 as controls.
How we read this: Read from 50 sample titles: 50 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.
- GSM8693610 M012, SA2 and CS co-infected
- GSM8693611 M012, SA7 and CS co-infected
- GSM8693612 M012, CS infected
- GSM8693613 M012, negative control
- GSM8693614 M016, SA1 infected
- GSM8693615 M016, SA1 and CS co-infected
- GSM8693616 M016, SA2 and CS co-infected
- GSM8693617 M016, SA4 and CS co-infected
- GSM8693618 M016, SA7 and CS co-infected
- GSM8693619 M016, CS infected
- GSM8693620 M016, negative control
- GSM8693621 M024, SA1 infected
- GSM8693622 M024, SA1 and CS co-infected
- GSM8693623 M024, SA2 infected
- GSM8693624 M024, SA2 and CS co-infected
- GSM8693625 M024, SA4 infected
- GSM8693626 M024, SA4 and CS co-infected
- GSM8693627 M024, SA7 and CS co-infected
- GSM8693628 M024, CS infected
- GSM8693629 M024, negative control
- GSM8693630 M027, SA1 infected
- GSM8693632 M027, SA1 and CS co-infected
- GSM8693634 M027, SA2 infected
- GSM8693635 M027, SA2 and CS co-infected
- GSM8693636 M027, SA4 infected
- GSM8693637 M027, SA4 and CS co-infected
- GSM8693638 M027, SA7 infected
- GSM8693639 M027, SA7 and CS co-infected
- GSM8693640 M027, CS infected
- GSM8693641 M027, negative control
- GSM8693642 M031, SA1 infected
- GSM8693643 M031, SA1 and CS co-infected
- GSM8693644 M031, SA2 infected
- GSM8693645 M031, SA2 and CS co-infected
- GSM8693646 M031, SA4 infected
- GSM8693647 M031, SA4 and CS co-infected
- GSM8693648 M031, SA7 infected
- GSM8693649 M031, SA7 and CS co-infected
- GSM8693650 M031, CS infected
- GSM8693651 M031, negative control
+ 10 more — browse all 50 samples with per-sample file links →
- GSE285788 Barrier formation by primary human airway epithelial cells sets limits to Staphylococcus aureus adhesion, invasion and cytotoxicity 24 samples shares staphylococcus, epithelial
- GSE305398 CFTR mutation abrogates Prevotella regulation of epithelial cell defense against Staphylococcus aureus 12 samples shares staphylococcus, epithelial
- GSE289787 Candida albicans and Staphylococcus aureus reciprocally promote their virulence factor secretion and pro-inflammatory effects 44 samples shares staphylococcus
- GSE269658 Immune Checkpoint Molecules as Biomarkers of Outcomes in Staphylococcus aureus Bone Infections 18 samples shares staphylococcus
- GSE267665 IκBζ-dependent responses in keratinocytes upon Staphylococcus aureus infection 18 samples shares staphylococcus
- GSE318734 Host-directed microRNA-based intervention against intracellular Staphylococcus aureus: High-throughput screening identifies miR-4430, miR-147a, and miR-1249-5p as multifunctional antimicrobial candidates 12 samples shares staphylococcus
- GSE273933 Staphylococcus aureus delays wound repair by harnessing the agr quorum sensing system to target keratinocyte lipid metabolism [bulkRNA-seq] 9 samples shares staphylococcus
- GSE328276 Host-pathogen dual targeting with repurposed drugs identifies a synergistic therapy for intracellular Staphylococcus aureus 6 samples shares staphylococcus
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.