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Global gene expression profiling from LeuCAG3'tsRNA depleted- HeLa and HCT-116 cell lines through 50 base pair paired-end RNA-seq

GSE54878 Homo sapiens (human) RNA-seq (gene expression) 6 samples Submitted 2017/09/27 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 6 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
6 samples
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)
We sequenced mRNA expression from 3 HeLa and 3 HCT-116 cell lines transfected with LNA (Locked nucleic acid) GL2, LNA CAGMM, or LNA CAGPM respectively. In order to dissect the biological role of 3?tsRNAs (type I tsRNAs) in mammals, we reduced the bioavailable abundance of specific tsRNA species using complementary locked nucleic acid/DNA-mixed antisense oligonucleotides (LNA).
Read the full summary ↓
The LNA forms a highly stable complex with the target RNA in a sequence specific manner, essentially inhibiting its ability to interact with their biological targets. In our tsRNA-knockdown experiments of HeLa and HCT-116 cell lines, we used three different LNA probes. GL2, is the LNA probe complementary to firefly luciferase gene from pGL2 vector (Promega, WI, USA), which serve as negative control. CAGPM, is the LNA probe perfect complementary to LeuCAG3?tsRNA. CAGMM, is the LNA probe complementary to LeuCAG3?tsRNA with 2 nt mismatches. The sequences for LNA probes are as follows. LNA bases are upper-case letter and DNA bases are lower ?case letter. GL2: GtaCgCgGaaTaCTtC CAGPM: tGTcAGgAgTggGaT CAGMM: tCTcACgAgTggGaT
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 GSE54878_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 PRJNA238335 and SRA study SRP037988. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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