Faecalibacterium prausnitzii induces an anti-inflammatory response and a metabolic reprogramming in human monocytes [ileum]
RNA-seq (gene expression) · human · 35 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
- 35 samples: 34 distinct titles, 1 of them repeatedGroups 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
- Faecalibacterium prausnitzii Induces an Anti-inflammatory Response and a Metabolic Reprogramming in Human MonocytesGastroenterology · 2026
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 GSE285449_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 PRJNA1203649 and SRA study SRP554111. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 35 sample titles: 34 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.
- GSM8702627 188 ileum CTR 2H,rep1
- GSM8702628 182 ileum CTR 2H,rep2
- GSM8702629 194 ileum CTR 2H,rep3
- GSM8702630 182 ileum CTR 4H,rep1
- GSM8702631 194 ileum CTR 4H,rep2
- GSM8702632 188 ileum CTR 4H,rep3
- GSM8702633 182 ileum FP10 2H,rep1
- GSM8702634 182 ileum FP10 2H,rep2
- GSM8702635 194 ileum FP10 2H,rep3
- GSM8702636 182 ileum FP10 4H,rep1
- GSM8702637 194 ileum FP10 4H,rep2
- GSM8702638 188 ileum FP10 4H,rep3
- GSM8702639 182 ileum FP100 2H,rep1
- GSM8702640 194 ileum FP100 2H,rep2
- GSM8702641 188 ileum FP100 4H,rep1
- GSM8702642 182 ileum FP100 4H,rep2
- GSM8702643 194 ileum FP100 4H,rep3
- GSM8702644 188 ileum LPS 2H,rep1
- GSM8702645 182 ileum LPS 2H,rep2
- GSM8702646 194 ileum LPS 2H,rep3
- GSM8702647 182 ileum LPS 4H,rep1
- GSM8702648 194 ileum LPS 4H,rep2
- GSM8702649 188 ileum LPS 4H,rep3
- GSM8702650 182 ileum Cad 2H,rep1
- GSM8702651 188 ileum Cad 2H,rep2
- GSM8702652 194 ileum Cad 2H,rep3
- GSM8702653 188 ileum Cad 4H,rep1
- GSM8702654 182 ileum Cad 4H,rep2
- GSM8702655 194 ileum Cad 4H,rep3
- GSM8702656 182 ileum Cad.LPS 2H,rep1
- GSM8702657 194 ileum Cad.LPS 2H,rep2
- GSM8702658 188 ileum Cad.LPS 2H,rep3
- GSM8702659 188 ileum Cad.LPS 4H,rep1
- GSM8702660 182 ileum Cad.LPS 4H,rep2
- GSM8702661 194 ileum Cad.LPS 4H,rep3
- GSE285037 Faecalibacterium prausnitzii induces an anti-inflammatory response and a metabolic reprogramming in human monocytes 72 samples shares anti-inflammatory, faecalibacterium, reprogramming, prausnitzii, monocytes, induces
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- GSE327577 Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn’s Disease: a first in human trial 43 samples shares faecalibacterium, prausnitzii
- GSE286057 Ovarian cancer metastasis to the human omentum disrupts organ homeostasis and induces fundamental tissue reprogramming 36 samples shares reprogramming, induces
- GSE261322 NF-κB- and TET2-mediated macrophage reprogramming overrides the anti-inflammatory effects of hypoxia and improves responses in human cancer (RNA-Seq I). 20 samples shares anti-inflammatory, reprogramming
- GSE268626 Systemic reprogramming of monocytes in Crohn’s disease promotes their intestinal inflammatory function 20 samples shares reprogramming, monocytes
- GSE282387 Temozolomide Induces Glioblastoma Dedifferentiation into Highly Malignant Stem-like Cells Through Senescence-Associated Reprogramming via HIF1α/HIF2α Regulation [RNA-seq] 12 samples shares reprogramming, induces
- GSE280564 Reprogramming of normal fibroblasts into ovarian cancer-associated fibroblasts via non-vesicular paracrine signaling induces an activated fibroblast phenotype 12 samples shares reprogramming, induces
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.