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Transcriptome analysis for XBP1 overexpressing complete hydatidiform mole-derived cell lines

GSE252905 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/12/21 Platform GPL24676
At a glance

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: 3 × Hmol1-2C_Ctrl vs 3 × Hmol1-2C_XBP1-OE vs 3 × Hmol1-3B_Ctrl vs 3 × Hmol1-3B_XBP1-OEGroups 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
Elucidation of the role of XBP1 in the progression of complete hydatidiform mole to invasive mole through RNA-seqGynecologic oncology · 2024
Summary (written by the submitters)
The trophoblastic disease is a general term for diseases that cause abnormal growth of trophoblasts, the most frequent form of which is called hydatidiform mole (CHM). CHM cell lines (Hmol1-3B and Hmol1-2C) were established in our laboratory (Yamamoto E, et al. Int J Mol Med. 2017 Sep; 40(3): 614–622). In this study, XBP1 was overexpressed, and RNA sequencing was performed to investigate the role of XBP1 in CHM.
Published in
Elucidation of the role of XBP1 in the progression of complete hydatidiform mole to invasive mole through RNA-seq
Shibata M, Yoshida K, Yokoi A et al. · Gynecologic oncology 2024 · PMID 39216132 · doi:10.1016/j.ygyno.2024.08.023
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE252905_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1063209 and SRA study SRP482890. Searching any of these in the dataset finder brings you back here.

Study design
3 × Hmol1-2C_Ctrl vs 3 × Hmol1-2C_XBP1-OE vs 3 × Hmol1-3B_Ctrl vs 3 × Hmol1-3B_XBP1-OE

Supports a between-group comparison across 12 samples.

How we read this: 4 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.

Samples in this study
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