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Integrated HPV18 acts as enhancer-like RNA and form phase-separated condensates to promote oncogenic genes expression.

GSE249929 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/12/31 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 × RNA-seq_HeLa_NT vs 3 × RNA-seq_HeLa_HD vs 3 × RNA-seq_HeLa_ctrlLNA vs 3 × RNA-seq_HeLa_URCLNAGroups 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
Chimera RNA transcribed from integrated HPV18 genome with adjacent host genomic region promotes oncogenic gene expression through condensate formationGenes to cells : devoted to molecular & cellular mechanisms · 2024
Summary (written by the submitters)
Most of the cervical cancers are caused by human papillomavirus (HPV) infection. It has been known that, in HeLa cells, HPV18 viral genome is integrated at chromosome 8q24.21 and activates transcription of proto-oncogene c-Myc. However, the mechanism of how the integrated HPV fragment exhibits transcription activation function has not been fully elucidated.
Read the full summary ↓
In this study, we found that HPV18 transcripts themselves have an enhancer RNA-like function to activate their proximal genes including CCAT1-5L and c-Myc. We showed that the human genome-integrated HPV18 genes are activated by transcription coregulators BRD4, Mediator. The transcribed HPV18 RNAs form a liquid-like condensate at chromosome 8q24.21 locus, which in turn accumulates RNA polymerase II. Moreover, we identified uncharacterized transcript from Upstream Region of CCAT1-5L, named URC. The URC RNA is transcribed as a chimera RNA with HPV18 and is composed of 3'-untranslated region of HPV18 transcript. We found that the URC contributes to stabilization of HPV18 RNAs by supplying a poly-adenylation site for HPV18 transcript. Our findings suggest that HPV18 integration at 8q24.21 locus causes HPV18-URC chimera RNA and promotes tumorigenesis through RNA-based liquid droplet formation.
Published in
Chimera RNA transcribed from integrated HPV18 genome with adjacent host genomic region promotes oncogenic gene expression through condensate formation
Furugori K, Suzuki H, Abe R et al. · Genes to cells : devoted to molecular & cellular mechanisms 2024 · PMID 38715205 · doi:10.1111/gtc.13121
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 GSE249929_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 PRJNA1051147 and SRA study SRP477407. Searching any of these in the dataset finder brings you back here.

Study design
3 × RNA-seq_HeLa_NT vs 3 × RNA-seq_HeLa_HD vs 3 × RNA-seq_HeLa_ctrlLNA vs 3 × RNA-seq_HeLa_URCLNA

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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