Differentially expressed genes in HBV related hepatic disease patients and the correlation with prognosis
RNA-seq (gene expression) · human · 20 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
- 20 samples: 5 × LC vs 5 × LFF vs 5 × HC vs 5 × LFGroups 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.
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 GSE267808_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 PRJNA1112346 and SRA study SRP508103. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8279121 LC1 [1032] LC
- GSM8279122 LC2 [1033] LC
- GSM8279123 LFF1 [1047] LFF
- GSM8279124 LC3 [1072] LC
- GSM8279125 HC1 [1086] HC
- GSM8279126 HC2 [1087] HC
- GSM8279127 HC3 [1088] HC
- GSM8279128 HC4 [1089] HC
- GSM8279129 HC5 [1090] HC
- GSM8279130 LF1 [692] LF
- GSM8279131 LF2 [766] LF
- GSM8279132 LF3 [781] LF
- GSM8279133 LFF2 [795] LFF
- GSM8279134 LFF3 [812] LFF
- GSM8279135 LF4 [839] LF
- GSM8279136 LF5 [882] LF
- GSM8279137 LFF4 [946] LFF
- GSM8279138 LC4 [956] LC
- GSM8279139 LFF5 [979] LFF
- GSM8279140 LC5 [985] LC
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- GSE251942 Hight througput RNA sequencing in a cohort of HBV related HCC and healty liver samples 25 samples shares hbv, related
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- GSE221083 Integrative proteomics and transcriptomics identify novel fibrosis-related biomarkers of patients with post-HBV hepatitis cirrhosis 11 samples shares hbv, related
- GSE276421 Gene expression clusters change and molecular correlation via STING pathway between orbital MALT lymphoma and orbital IgG4-related eye diseases 20 samples shares correlation, related
- GSE290313 Differentially expressed transcripts associated with depressive symptoms during pregnancy and postpartum 301 samples shares differentially, expressed
- GSE276889 Mitochondria isolated from male skeletal muscle contain a small and distinct population of microRNA that are differentially expressed following acute endurance exercise 33 samples shares differentially, expressed
- GSE279412 Differentially Expressed Genes in C-33A and CaSki Cells Overexpressing miR-124-3p, miR-23b-3p, or miR-218-5p Modulate Processes and Pathways Involved in Cervical Cancer Progression 23 samples shares differentially, expressed
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.