Inflammatory gene expression in livers undergoing ex situ normothermic perfusion is attenuated by leukocyte removal from the perfusate
RNA-seq (gene expression) · human · 46 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
- 46 samples: 46 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
- Inflammatory Gene Expression in Livers Undergoing Ex Situ Normothermic Perfusion Is Attenuated by Leukocyte Removal From the PerfusateTransplantation · 2025
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 GSE245976_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 PRJNA1030911 and SRA study SRP467822. 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 46 sample titles: 46 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.
- GSM7852764 pre-perfusion_A [1_1]
- GSM7852765 post-perfusion_C [1_10]
- GSM7852766 pre-perfusion_D [1_11]
- GSM7852767 pre-perfusion_AM_filter [1_13]
- GSM7852768 post-perfusion_AM_filter [1_14]
- GSM7852769 pre-perfusion_E [1_15]
- GSM7852770 post-perfusion_E [1_16]
- GSM7852771 pre-perfusion_AN_filter [1_17]
- GSM7852772 post-perfusion_AN_filter [1_18]
- GSM7852773 pre-perfusion_AO_filter [1_19]
- GSM7852774 post-perfusion_A [1_2]
- GSM7852775 post-perfusion_AO_filter [1_20]
- GSM7852776 pre-perfusion_AL_filter [1_5]
- GSM7852777 post-perfusion_AL_filter [1_6]
- GSM7852778 pre-perfusion_B [1_7]
- GSM7852779 post-perfusion_B [1_8]
- GSM7852780 pre-perfusion_C [1_9]
- GSM7852781 pre-perfusion_AA [2_1]
- GSM7852782 post-perfusion_Q_filter [2_13]
- GSM7852783 pre-perfusion_U [2_15]
- GSM7852784 pre-perfusion_T [2_16]
- GSM7852785 pre-perfusion_V [2_17]
- GSM7852786 pre-perfusion_Q_filter [2_2]
- GSM7852787 pre-perfusion_AP [2_20]
- GSM7852788 pre-perfusion_AC [2_21]
- GSM7852789 pre-perfusion_AD [2_22]
- GSM7852790 pre-perfusion_AE [2_23]
- GSM7852791 pre-perfusion_H [2_25]
- GSM7852792 post-perfusion_H [2_26]
- GSM7852793 pre-perfusion_AG [2_27]
- GSM7852794 pre-perfusion_W [2_28]
- GSM7852795 pre-perfusion_F [2_3]
- GSM7852796 pre-perfusion_Z [2_31]
- GSM7852797 pre-perfusion_X [2_33]
- GSM7852798 pre-perfusion_Y_filter [2_36]
- GSM7852799 post-perfusion_Y_filter [2_37]
- GSM7852800 pre-perfusion_R_filter [2_5]
- GSM7852801 post-perfusion_R_filter [2_6]
- GSM7852802 pre-perfusion_G [2_7]
- GSM7852803 pre-perfusion_S [2_9]
+ 6 more — browse all 46 samples with per-sample file links →
- GSE263614 Gene expression profiling of human livers during normothermic machine perfusion 206 samples shares normothermic, perfusion, livers
- GSE276531 Hypothermic oxygenated machine perfusion influences the immunogenicity of donor livers in humans 32 samples shares perfusion, livers
- GSE307631 Cellular responses during kidney normothermic machine perfusion reflect graft outcomes 8 samples shares normothermic, perfusion
- GSE293480 Transcriptomic profiling during normothermic machine perfusion of human kidneys reveals a pro-inflammatory cellular landscape and gene expression signature associated with prolonged delayed graft function after transplantation [bulk RNA-seq] 7 samples shares normothermic, perfusion
- GSE112713 Normothermic machine perfusion (NMP) inhibits proinflammatory responses in the liver and promotes regeneration 48 samples shares normothermic, perfusion
- GSE252990 Coupling of response biomarkers between tumour and peripheral blood in patients undergoing chemoimmunotherapy 120 samples shares undergoing
- GSE253173 Coupling of response biomarkers between tumour and peripheral blood in patients undergoing chemoimmunotherapy II 100 samples shares undergoing
- GSE149809 Transcriptomic responses to a live-attenuated Francisella tularensis vaccine 100 samples shares attenuated
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.