← BioTransfer GEO Dataset Finder
GEO series

A cytomegalovirus encoded lncRNA blocks cell cycle progression

GSE297120 Homo sapiens (human) RNA-seq (gene expression) 104 samples Submitted 2026/02/22 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 104 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
104 samples: 104 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.
Paper
A cytomegalovirus-encoded lncRNA blocks cell-cycle progressionMolecular cell · 2026
Summary (written by the submitters)
During HCMV infection RNA2.7 is the most highly expressed transcript in the infected cell, but its function is not well understood. We tackeled this open question utilizing methods such as RNA sequencing, ribosome profiling and SLAMseq.
Published in
A cytomegalovirus-encoded lncRNA blocks cell-cycle progression
Fisher T, Mizrahi O, Tai-Schmiedel J et al. · Molecular cell 2026 · PMID 41881021 · doi:10.1016/j.molcel.2026.02.025
This dataset
Open GSE297120 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE297120_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1262826 and SRA study SRP585167. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41881021) ↗
Study design
104 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 104 sample titles: 104 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.

Samples in this study

+ 64 more — browse all 104 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.