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Analysis of a pair of HCA-7 derived cells with low expressing (CC) or high expressing (CC-CR) levels of miR-100 and miR-125b and RNA collected from Ago2 RNA immunoprecipitation

GSE259372 Homo sapiens (human) Non-coding RNA profiling 22 samples Submitted 2024/12/26 Platform GPL24676
At a glance

Non-coding RNA profiling · human · 22 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
22 samples: 8 conditions, mostly in triplicateGroups 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
Transfer of miR-100 and miR-125b increases 3D growth and invasiveness in recipient cancer cellsExtracellular vesicles and circulating nucleic acids · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Transfer of miR-100 and miR-125b increases 3D growth and invasiveness in recipient cancer cells
Nelson HM, Qu S, Huang L et al. · Extracellular vesicles and circulating nucleic acids 2024 · PMID 39697634 · doi:10.20517/evcna.2024.43
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 GSE259372_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.

Also filed as BioProject PRJNA1081376 and SRA study SRP492044. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
CCCR_WC ×3 CC_WC ×3 CCCR_Ago2_RIP ×3 CCCR_WC_ncRNA-seq ×3 CC_WC_ncRNA-seq ×3 CC_Ago2_RIP_ncRNA-seq ×3 CC_Ago2_RIP ×2 CCCR_Ago2_RIP_ncRNA-seq ×2

Supports a between-group comparison across 22 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 22 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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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.