Dp16 liver transcriptome
RNA-seq (gene expression) · human · 78 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
- 78 samples: 60 distinct titles, 13 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
- Altered hepatic metabolism in Down syndromeCell reports · 2026
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 GSE296748_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 PRJNA1260994 and SRA study SRP583290. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 78 sample titles: 60 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.
- GSM8970167 Wild-type C57BL/6J; Sample_WT_173_13422_Lv
- GSM8970168 Wild-type C57BL/6J; Sample_WT_179_13423_Lv
- GSM8970169 Wild-type C57BL/6J; Sample_WT_184_13425_Lv
- GSM8970170 Wild-type C57BL/6J; Sample_WT_192_13427_Lv
- GSM8970171 Wild-type C57BL/6J; Sample_WT_195_13427_Lv
- GSM8970172 Wild-type C57BL/6J; Sample_WT_203_13429_Lv
- GSM8970173 Dp16; Sample_Dp16_175_13423_Lv
- GSM8970174 Dp16; Sample_Dp16_183_13425_Lv
- GSM8970175 Dp16; Sample_Dp16_188_13426_Lv
- GSM8970176 Dp16; Sample_Dp16_193_13427_Lv
- GSM8970177 Dp16; Sample_Dp16_194_13427_Lv
- GSM8970178 Dp16; Sample_Dp16_202_13429_Lv
- GSM8970707 iHepatocyte from euploid (D21) iPSC; Cell line 113_ihep_D21_1; Differentiation replicate 1
- GSM8970708 iHepatocyte from euploid (D21) iPSC; Cell line 113_ihep_D21_2; Differentiation replicate 2
- GSM8970709 iHepatocyte from euploid (D21) iPSC; Cell line 673_ihep_D21_1; Differentiation replicate 1
- GSM8970710 iHepatocyte from euploid (D21) iPSC; Cell line 673_ihep_D21_2; Differentiation replicate 2
- GSM8970711 iHepatocyte from euploid (D21) iPSC; Cell line 626_ihep_D21_1; Differentiation replicate 1
- GSM8970712 iHepatocyte from euploid (D21) iPSC; Cell line 626_ihep_D21_2; Differentiation replicate 2
- GSM8970713 iHepatocyte from euploid (D21) iPSC; Cell line 423_ihep_D21_1; Differentiation replicate 1
- GSM8970714 iHepatocyte from euploid (D21) iPSC; Cell line 423_ihep_D21_2; Differentiation replicate 2
- GSM8970715 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 1121_ihep_T21_1; Differentiation replicate 1
- GSM8970716 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 1121_ihep_T21_2; Differentiation replicate 2
- GSM8970717 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 23_ihep_T21_1; Differentiation replicate 1
- GSM8970718 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 23_ihep_T21_2; Differentiation replicate 2
- GSM8970719 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 76_ihep_T21_1; Differentiation replicate 1
- GSM8970720 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 76_ihep_T21_2; Differentiation replicate 2
- GSM8970721 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 194_ihep_T21_1; Differentiation replicate 1
- GSM8970722 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 194_ihep_T21_2; Differentiation replicate 2
- GSM8970723 iHepatocyte from euploid (D21) iPSC; Cell line 474_ihep_D21_1; Differentiation replicate 1
- GSM8970724 iHepatocyte from euploid (D21) iPSC; Cell line 68bc5_ihep_D21_1; Differentiation replicate 1
- GSM8970725 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 232_ihep_T21_1; Differentiation replicate 1
- GSM8970726 iHepatocyte from chr21-trisomic (T21) iPSC; Cell line 49bc3_ihep_T21_1; Differentiation replicate 1
- GSM8971741 Wild-type C57BL/6J; Control diet; Sample_T3_531083
- GSM8971742 Wild-type C57BL/6J; Control diet; Sample_T7_534135
- GSM8971743 Wild-type C57BL/6J; Control diet; Sample_T5_534143
- GSM8971744 Wild-type C57BL/6J; Control diet; Sample_T3_534142
- GSM8971745 Wild-type C57BL/6J; Control diet; Sample_T3_531357
- GSM8971746 Wild-type C57BL/6J; Control diet; Sample_T3_532053
- GSM8971747 Wild-type C57BL/6J; Control diet; Sample_T4_532053
- GSM8971748 Wild-type C57BL/6J; Control diet; Sample_T2_534136
+ 38 more — browse all 78 samples with per-sample file links →
- GSE305923 exoWNT3A/RSPO1 improves HE to LPC differentiation, hepatic organoids growth, and different acute and chronic liver injuries. 72 samples shares liver
- GSE302338 Transcriptional landscape of MYCN-driven liver tumors 38 samples shares liver
- GSE288077 Metabolic dysfunction-associated steatotic liver disease may increase intrahepatic interferon gene signatures in patients with chronic hepatitis B 35 samples shares liver
- GSE256398 Hepatic stellate cells control liver zonation and function via R-spondin 3 30 samples shares liver
- GSE267018 RNA-seq analysis of WT, SREBP knockout and SREBP2 knockout HeLa cells and liver samples of WT and SREBP2 (F167A) knockin mice 30 samples shares liver
- GSE295888 SIRT7 regulates NUCKS1 chromatin binding to elicit metabolic and inflammatory gene expression in senescence and liver aging. 30 samples shares liver
- GSE288534 Targeting Senescent Hepatocytes for Treatment of Metabolic Dysfunction-associated Steatotic Liver Disease and Multi-organ Dysfunction 24 samples shares liver
- GSE280148 SOAT1 knockout enhances sensitivity of liver cancer cells to T cell-based immunotherapy [RNA-seq] 24 samples shares liver
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.