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LncRNA HIF1A-AS1 regulates the apoptosis and proliferation of vascular endothelial cells through globally regulating miRNAs expression [RNA-Seq]

GSE178401 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/06/17 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 × HUVECs vs 3 × PA-treated HUVECs vs 3 × transfected blank plasmid to PA-treated HUVECs vs 3 × HIF1A-AS1 overexpression in PA-treated HUVECsGroups 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)
In the current study, on the basis of establishment of PA-induced damage model of HUVECs, the silencing and overexpression (OE) of HIF1A-AS1 were implemented in the HUVECs, and the effects on cell viability, apoptosis, migration and invasion were explored, respectively. Functionally, the results indicated silencing of HIF1A-AS1 promoted the proliferation migration and invasion, and reduced the apoptosis of HUVECs.
Read the full summary ↓
In contrast, OE of HIF1A-AS1 reduced proliferation transwell and invasion, promoted the apoptosis, suggesting that HIF1A-AS1 play vital roles in regulating HUVECs. Moreover, miRNA sequencing (miRNA-seq) and RNA sequencing (RNA-seq) were carried out, and the results indicated that HIF1A-AS1 globally mediate expression of miRNA and mRNA. The multiple target genes of DEmiRNA were associated with cell proliferation and apoptosis, and overlapped with the DEGs from RNA-seq, suggestion that HIF1A-AS1 might regulate the proliferation and apoptosis of HUVECs by regulating miRNA expression.
This dataset
Open GSE178401 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 GSE178401_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 PRJNA738885 and SRA study SRP324500. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × HUVECs vs 3 × PA-treated HUVECs vs 3 × transfected blank plasmid to PA-treated HUVECs vs 3 × HIF1A-AS1 overexpression in PA-treated HUVECs

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
Datasets on a similar topic

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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.