RNA-Sequencing results of the human Gallbladder cancer (GBC) and adjacent tumor tissues (AT)
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)
- Topic
- Gallbladder cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples: 7 × GBC vs 5 × ATGroups 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
- NUF2 and NEK2 promote malignant progression of gallbladder cancer by remodeling the extracellular matrixCarcinogenesis · 2025
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 GSE276931_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 PRJNA1159763 and SRA study SRP532078. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8509144 AT-1 AT
- GSM8509145 AT-3 AT
- GSM8509146 AT-4 AT
- GSM8509147 AT-6 AT
- GSM8509148 AT-7 AT
- GSM8509149 GBC-1 GBC
- GSM8509150 GBC-2 GBC
- GSM8509151 GBC-3 GBC
- GSM8509152 GBC-4 GBC
- GSM8509153 GBC-5 GBC
- GSM8509154 GBC-6 GBC
- GSM8509155 GBC-7 GBC
- GSE325472 Transcriptome sequencing analysis of Cyp4f3b gene interference in human gallbladder carcinoma cells gbc-sd 6 samples same disease briefing · shares gbc, gallbladder
- GSE139682 The gene expression profiles of gallbladder cancer 20 samples same disease briefing · shares gallbladder
- GSE202479 RNA sequencing revealed the multi-stage transcriptome transformations during the development of gallbladder cancer associated with chronic inflammation 20 samples same disease briefing · shares gallbladder
- GSE243306 CEACAM6 orchestrates gallbladder cancer aggressiveness through molecular interplay with Integrin and PRKCD. 20 samples same disease briefing · shares gallbladder
- GSE308395 Identification of Differentially Expressed Genes and Associated Immune Cell Types In South African Gallbladder Cancer Patients 10 samples same disease briefing · shares gallbladder
- GSE100363 Identification of differentially expressed circRNA in gallbladder cancer compared with matched normal tissue 8 samples same disease briefing · shares gallbladder
- GSE321657 Differential expression profiles of gemcitabine resistant gallbladder cancer cells and parental cells 6 samples same disease briefing · shares gallbladder
- GSE312961 Alkaloids from Evodia rutaecarpa Inhibit the Occurrence and Development of Gallbladder Cancer In Vivo and In Vitro 4 samples same disease briefing · shares gallbladder
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.