Inflammasome activation and oxidative stress in SARS-CoV-2 breakthrough infection and symptomatic rebound
Single-cell RNA-seq · human · 15 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 15 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.
- Paper
- Inflammasome Activation and Oxidative Stress in SARS-CoV-2 Infection and Symptomatic ReboundThe Journal of infectious diseases · 2026
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 GSE304891_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1303183 and SRA study SRP607443. 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 15 sample titles: 15 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.
- GSM9159040 PBMC_sample1_Patient258
- GSM9159041 PBMC_sample2_Patient274
- GSM9159042 PBMC_sample3_Patient275
- GSM9159043 PBMC_sample4_Patient279
- GSM9159044 PBMC_sample5_Patient281
- GSM9159045 PBMC_sample6_Patient282
- GSM9159046 PBMC_sample7_Patient283
- GSM9159047 PBMC_sample8_Patient284
- GSM9159048 PBMC_sample9_Patient286
- GSM9159049 PBMC_sample10_Patient289
- GSM9159050 PBMC_sample11_Patient283
- GSM9159051 PBMC_sample12_Patient281
- GSM9159052 PBMC_sample13_Patient297
- GSM9159053 PBMC_sample14_Patient296
- GSM9159054 PBMC_sample15_Patient290
- GSE324550 Non-canonical proteolytic activation of RNase L by SARS-CoV-2 3CLpro offsets inactivation of OAS1 antiviral signaling 14 samples shares sars-cov-2, activation
- GSE270469 A live attenuated SARS-CoV-2 vaccine constructed by dual inactivation of NSP16 and ORF3a 12 samples shares sars-cov-2, activation
- GSE303324 SARS-CoV-2 Variant Boosters and Breakthrough Infections Drive Functional Differences in the Memory B Cell Repertoire 55 samples shares sars-cov-2, breakthrough
- GSE282206 NLRP1 inflammasome activation in skin equivalents reveals mechanistic insights into the roles of keratinocytes in psoriasis 24 samples shares inflammasome, activation
- GSE245147 CytoDNA triggered NP cell inflammatory senescence via cGAS-STING axis sensing but not AIM2 inflammasome activation 18 samples shares inflammasome, activation
- GSE261862 Prior vaccination prevents overactivation of innate immune responses during COVID-19 breakthrough infection 16 samples shares breakthrough, activation
- GSE313809 Bronchial epithelial cell-derived extracellular vesicles drive inflammasome activation and NTHi infection in COPD 12 samples shares inflammasome, activation
- GSE216483 METTL3-dependent m6A RNA methylation regulates activation of the NLRP3 inflammasome 18 samples shares inflammasome, activation
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.