Transcriptomic profile of Chronic Hepatitis B patients positive for pregenomic RNA.
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 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.
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 GSE316961_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 PRJNA1405602 and SRA study SRP664740. 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 12 sample titles: 12 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.
- GSM9463173 IND27_F, Healthy, female_1
- GSM9463174 IND44_M, Healthy, male_1
- GSM9463175 IND47_M, Healthy, male_2
- GSM9463176 IND61_F, Healthy, female_2
- GSM9463177 KEAMSE, Positive pgRNA_1
- GSM9463178 MIEG, Positive pgRNA_2
- GSM9463179 MPLO, Positive pgRNA_3
- GSM9463180 XANA, Positive pgRNA_4
- GSM9463181 MOAP, Negative pgRNA_1
- GSM9463182 OMEL. Negative pgRNA_2
- GSM9463183 DODI, Negative pgRNA_3
- GSM9463184 TZELEP, Negative pgRNA_4
- GSE274114 Metabolic dysfunction-associated steatohepatitis reduces interferon and macrophage liver gene signatures in chronic HBV patients 39 samples shares hepatitis, chronic
- GSE318225 Development of an Optimized Epigenetic Silencer to Transcriptionally Inactivate Viral DNA in Chronic Hepatitis B [RNAseq] 218 samples shares hepatitis, chronic
- GSE304352 Transcriptome analysis of liver tissue from patients with Autoimmune Hepatitis, Primary Biliary Cholangitis, and Chronic Hepatitis B 11 samples shares hepatitis, chronic
- GSE291286 Clinical cure of chronic hepatitis B is associated with priming and perpetuation of hepatic CD4+ T cell responses 98 samples shares hepatitis, chronic
- GSE243375 HER2 heterogeneity and treatment response-associated profiles in HER2-positive breast cancer in the NCT02326974 clinical trial 287 samples shares positive
- GSE234519 NSABP B-41: A Study of AC Followed by a Combination of Paclitaxel Plus Trastuzumab or Lapatinib or Both Given Before Surgery to Patients With Operable HER2 Positive Invasive Breast Cancer 245 samples shares positive
- GSE276114 Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies 177 samples shares chronic
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares chronic
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.