IL22 supports Long-Term Expansion of Mouse and Human Hepatocytes in vitro.
RNA-seq (gene expression) · human · 51 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
- 51 samples: 17 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 GSE290952_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 PRJNA1230784 and SRA study SRP567494. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 51 samples.
How we read this: 17 replicated groups read from 51 sample titles; they account for 51 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.
- GSM8826212 IL22-td-iHPCs(D14)-1 IL22-td-iHPCs(D14)
- GSM8826213 IL22-td-iHPCs(D14)-2 IL22-td-iHPCs(D14)
- GSM8826214 IL22-td-iHPCs(D14)-3 IL22-td-iHPCs(D14)
- GSM8826215 IL22-td-iHPCs-mouse-1(P30)-1 IL22-td-iHPCs-mouse-1(P…
- GSM8826216 IL22-td-iHPCs-mouse-1(P30)-2 IL22-td-iHPCs-mouse-1(P…
- GSM8826217 IL22-td-iHPCs-mouse-1(P30)-3 IL22-td-iHPCs-mouse-1(P…
- GSM8826218 IL22-td-iHPCs-mouse-2(P30)-1 IL22-td-iHPCs-mouse-2(P…
- GSM8826219 IL22-td-iHPCs-mouse-2(P30)-2 IL22-td-iHPCs-mouse-2(P…
- GSM8826220 IL22-td-iHPCs-mouse-2(P30)-3 IL22-td-iHPCs-mouse-2(P…
- GSM8826221 IL22-td-iMHs-mouse-1(P30)-1 IL22-td-iMHs-mouse-1(P3…
- GSM8826222 IL22-td-iMHs-mouse-1(P30)-2 IL22-td-iMHs-mouse-1(P3…
- GSM8826223 IL22-td-iMHs-mouse-1(P30)-3 IL22-td-iMHs-mouse-1(P3…
- GSM8826224 IL22-td-iMHs-mouse-2(P30)-1 IL22-td-iMHs-mouse-2(P3…
- GSM8826225 IL22-td-iMHs-mouse-2(P30)-2 IL22-td-iMHs-mouse-2(P3…
- GSM8826226 IL22-td-iMHs-mouse-2(P30)-3 IL22-td-iMHs-mouse-2(P3…
- GSM8826227 HepaSTAT3f/f (D0)-1 HepaSTAT3f/f (D0)
- GSM8826228 HepaSTAT3f/f (D0)-2 HepaSTAT3f/f (D0)
- GSM8826229 HepaSTAT3f/f (D0)-3 HepaSTAT3f/f (D0)
- GSM8826230 HepaSTAT3f/f (IL22-HCM, D3)-1 HepaSTAT3f/f (IL22-HCM,…
- GSM8826231 HepaSTAT3f/f (IL22-HCM, D3)-2 HepaSTAT3f/f (IL22-HCM,…
- GSM8826232 HepaSTAT3f/f (IL22-HCM, D3)-3 HepaSTAT3f/f (IL22-HCM,…
- GSM8826233 HepaSTAT3f/f (IL22-HCM, D7)-1 HepaSTAT3f/f (IL22-HCM,…
- GSM8826234 HepaSTAT3f/f (IL22-HCM, D7)-2 HepaSTAT3f/f (IL22-HCM,…
- GSM8826235 HepaSTAT3f/f (IL22-HCM, D7)-3 HepaSTAT3f/f (IL22-HCM,…
- GSM8826236 HepaSTAT3-/- (D0)-1 HepaSTAT3-/- (D0)
- GSM8826237 HepaSTAT3-/- (D0)-2 HepaSTAT3-/- (D0)
- GSM8826238 HepaSTAT3-/- (D0)-3 HepaSTAT3-/- (D0)
- GSM8826239 HepaSTAT3-/- (IL22-HCM. D3)-1 HepaSTAT3-/- (IL22-HCM.…
- GSM8826240 HepaSTAT3-/- (IL22-HCM. D3)-2 HepaSTAT3-/- (IL22-HCM.…
- GSM8826241 HepaSTAT3-/- (IL22-HCM. D3)-3 HepaSTAT3-/- (IL22-HCM.…
- GSM8826242 HepaSTAT3-/- (IL22-HCM. D7)-1 HepaSTAT3-/- (IL22-HCM.…
- GSM8826243 HepaSTAT3-/- (IL22-HCM. D7)-2 HepaSTAT3-/- (IL22-HCM.…
- GSM8826244 HepaSTAT3-/- (IL22-HCM. D7)-3 HepaSTAT3-/- (IL22-HCM.…
- GSM8826245 Hepa(D0)-1 Hepa(D0)
- GSM8826246 Hepa(D0)-2 Hepa(D0)
- GSM8826247 Hepa(D0)-3 Hepa(D0)
- GSM8826248 BA-iHPCs(D14)-1 BA-iHPCs(D14)
- GSM8826249 BA-iHPCs(D14)-2 BA-iHPCs(D14)
- GSM8826250 BA-iHPCs(D14)-3 BA-iHPCs(D14)
- GSM8826251 GFP-Hepa(D14)-1 GFP-Hepa(D14)
+ 11 more — browse all 51 samples with per-sample file links →
- GSE260966 Selective depletion of HBV-infected hepatocytes by class A capsid assembly modulators require high levels of intrahepatic HBV core protein 76 samples shares hepatocytes
- GSE287688 Sex-specific KDM6A-HNF4A-CREBH network controls lipoprotein cholesterol metabolism and atherosclerosis via epigenetic reprograming of hepatocytes [RNA-seq] 68 samples shares hepatocytes
- GSE204762 Multi-modal skin atlas associates a multicellular immune-stromal community with altered cornification and T cell expansion in atopic dermatitis [scRNA-seq] 43 samples shares expansion
- GSE224585 ATAXIN-2 Intermediate-length Polyglutamine Expansions Elicit ALS-associated Metabolic and Immune Phenotypes 38 samples shares expansion
- GSE288534 Targeting Senescent Hepatocytes for Treatment of Metabolic Dysfunction-associated Steatotic Liver Disease and Multi-organ Dysfunction 24 samples shares hepatocytes
- GSE246140 Human IL-6 fosters long-term engraftment of human patient derived myeloma cells in immunodeficient mice 2 samples shares long-term
- GSE268496 A Simplified Preparation Method for Single-Nucleus RNA-Sequencing Using Long-Term Frozen Brain Tumor Tissues 15 samples shares long-term
- GSE324558 Defining the role of fibroblasts in skin expansion 12 samples shares expansion
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.