Accessory fimbrial subunits and PPAD are necessary for TLR2 activation by Porphyromonas gingivalis
RNA-seq (gene expression) · human · 20 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
- 20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
- Accessory fimbrial subunits and PPAD are necessary for TLR2 activation by Porphyromonas gingivalisMolecular oral microbiology · 2023
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 GSE332616_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 PRJNA1468674 and SRA study SRP702402. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9751508 ATCC_WT_1 ATCC_WT
- GSM9751509 ATCC_WT_2 ATCC_WT
- GSM9751510 ATCC_WT_3 ATCC_WT
- GSM9751511 ATCC_WT_4 ATCC_WT
- GSM9751512 control_1 control
- GSM9751513 control_2 control
- GSM9751514 control_3 control
- GSM9751515 control_4 control
- GSM9751516 delFimA_1 delFimA
- GSM9751517 delFimA_2 delFimA
- GSM9751518 delFimA_3 delFimA
- GSM9751519 delFimA_4 delFimA
- GSM9751520 delPPAD_1 delPPAD
- GSM9751521 delPPAD_2 delPPAD
- GSM9751522 delPPAD_3 delPPAD
- GSM9751523 delPPAD_4 delPPAD
- GSM9751524 W83_1 W83
- GSM9751525 W83_2 W83
- GSM9751526 W83_3 W83
- GSM9751527 W83_4 W83
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE254732 Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects 215 samples shares activation
- GSE273700 Whole transcriptome analysis reveals T cell signaling activation in septic patients with thrombocytopenia 104 samples shares activation
- GSE211434 Diverse immune suppressing cancer communications with myeloid cells prevent T cell activation and recruitment and provide resistance to cell cycle inhibitor therapy 81 samples shares activation
- GSE318865 Placental gene signatures associated with high neonatal adiposity: role for immune cell activation 79 samples shares activation
- GSE327289 Cerebrovascular Single-Nucleus RNA-Seq Reveals Heat Shock Activation and Vascular Remodeling in Alzheimer’s Disease and Primary Tauopathies 76 samples shares activation
- GSE328878 Transcriptomic comparison of RA vs healthy monocytes undergoing different ex vivo activation conditions 72 samples shares 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.