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Differentially Expressed Genes in C-33A and CaSki Cells Overexpressing miR-124-3p, miR-23b-3p, or miR-218-5p Modulate Processes and Pathways Involved in Cervical Cancer Progression

GSE279412 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2024/11/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 23 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
Cervical cancerThis series is part of our curated briefing on it.
Samples
23 samples: 18 distinct titles, 5 of them repeatedGroups 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.
Summary (written by the submitters)
Aberrant expression of oncomicroRNAs and tumor suppressor miRNAs (tsmiRs) contributes to the carcinogenesis and progression of cervical cancer (CC). miR-124-3p, miR-23b-3p, and miR-218-5p are tsmiRs that modulate oncogenes regulating cellular processes implicated in CC progression. This research aimed to explore transcriptomic changes in C-33A and CaSki cells following the overexpression of miR-124-3p, miR-23b-3p, and miR-218-5p, and to identify the biological processes (BPs) and pathways modulated by differentially expressed genes (DEGs).
Read the full summary ↓
A total of 100 nM of miR-124-3p, miR-23b-3p, and miR-218-5p mimetics were transfected into C-33A and CaSki cells, and transcriptome changes were analyzed using RNA-seq. The Galaxy and R-Studio platforms were employed to identify DEGs, while BPs and pathways regulated by DEGs were identified through the DAVID platform. Transcriptional changes revealed both differences and similarities between cell lines and miRNAs. In C-33A cells, miR-124-3p and miR-218 regulated direct and indirect targets involved in the cell cycle and apoptosis. In CaSki cells, apoptosis and viral carcinogenesis were regulated by genes modulated directly or indirectly by miR-124-3p and miR-23b-3p. These tsmiRs demonstrated synergistic activity, regulating multiple transcripts that modulate processes and pathways involved in CC progression, with or without HPV. These findings suggest that miR-124-3p, miR-23b-3p, and miR-218-5p may represent promising therapeutic alternatives for CC treatment.
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 GSE279412_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 PRJNA1172670 and SRA study SRP545509. Searching any of these in the dataset finder brings you back here.

Study design
18 distinct titles, 5 of them repeated
C33ARB2_mi ×2 C33ARB3_mi ×2 CaSkiRB1_mi ×2 CaSkiRB2_mi ×2 CaSkiRB3_mi ×2

How we read this: Read from 23 sample titles: 18 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
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