A Pathogenic CD8⁺ TRM–Chemokine Axis Orchestrates Liver Fibrosis and Provides Circulating Biomarkers during Chronic Clonorchis sinensis Infection
RNA-seq (gene expression) · mouse · 16 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
- Mus musculus (mouse)
- Samples
- 16 samples: 6 conditions, mostly in triplicateGroups 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 GSE302945_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 PRJNA1292873 and SRA study SRP601620. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 6 replicated groups read from 16 sample titles; they account for 16 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.
- GSM9114525 NPCs, liver, uninfected, GEX, Rep1 NPCs, liver, uninfected…
- GSM9114526 NPCs, liver, uninfected, GEX, Rep2 NPCs, liver, uninfected…
- GSM9114527 NPCs, liver, uninfected, GEX, Rep3 NPCs, liver, uninfected…
- GSM9114528 NPCs, liver, C.sinensis 6 wpi, GEX, Rep1 NPCs, liver, C.sinensis…
- GSM9114529 NPCs, liver, C.sinensis 6 wpi, GEX, Rep2 NPCs, liver, C.sinensis…
- GSM9114530 NPCs, liver, C.sinensis 6 wpi, GEX, Rep3 NPCs, liver, C.sinensis…
- GSM9114531 NPCs, liver, C.sinensis 16 wpi, GEX, Rep1 NPCs, liver, C.sinensis…
- GSM9114532 NPCs, liver, C.sinensis 16 wpi, GEX, Rep2 NPCs, liver, C.sinensis…
- GSM9114533 NPCs, liver, uninfected, TCR, Rep1 NPCs, liver, uninfected…
- GSM9114534 NPCs, liver, uninfected, TCR, Rep2 NPCs, liver, uninfected…
- GSM9114535 NPCs, liver, uninfected, TCR, Rep3 NPCs, liver, uninfected…
- GSM9114536 NPCs, liver, C.sinensis 6 wpi, TCR, Rep1 NPCs, liver, C.sinensis…
- GSM9114537 NPCs, liver, C.sinensis 6 wpi, TCR, Rep2 NPCs, liver, C.sinensis…
- GSM9114538 NPCs, liver, C.sinensis 6 wpi, TCR, Rep3 NPCs, liver, C.sinensis…
- GSM9114539 NPCs, liver, C.sinensis 16 wpi, TCR, Rep1 NPCs, liver, C.sinensis…
- GSM9114540 NPCs, liver, C.sinensis 16 wpi, TCR, Rep2 NPCs, liver, C.sinensis…
- GSE276107 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity 44 samples shares cd8, orchestrates
- GSE276300 EGR2 O-GlcNAcylation Orchestrates the Development of Protumoral Macrophages to Limit CD8+ T Cell Antitumor Responses. 27 samples shares cd8, orchestrates
- GSE299133 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity [Hepatocytes] 18 samples shares cd8, orchestrates
- GSE307388 Immune checkpoint blockade augments lymphodepleting chemotherapy-induced antitumor immunity by expanding effector CD8+ T cell clones in preclinical models of cancer 12 samples shares cd8
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares cd8
- GSE329774 Metabolically and epigenetically reprogrammed splenic TRNP1hiCD8+ T cells exacerbate liver fibrosis 93 samples shares cd8
- GSE304763 A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions [scTCR_immunotherapies] 91 samples shares cd8
- GSE334845 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors [RNA-Seq] 86 samples shares cd8
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.