LARP6 promotes carcinogenic features of triple negative breast cancer cell line by directly modulating alternative splicing of associated genes
RNA-seq (gene expression) · human · 10 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
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 10 samples: 3 × NC vs 3 × OE_LARP6 vs 2 × LARP6-Input vs 2 × LARP6-IPGroups 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
- The RNA-binding protein LARP6 regulates the alternative splicing of related genes in MDA-MB-231 cellsScientific reports · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE248132_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1041805 and SRA study SRP472669. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 10 sample titles; they account for 10 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.
- GSM7906208 LARP6-Input-1 LARP6-Input
- GSM7906209 LARP6-Input-2 LARP6-Input
- GSM7906210 LARP6-IP-1 LARP6-IP
- GSM7906211 LARP6-IP-2 LARP6-IP
- GSM7906212 NC_1 NC
- GSM7906213 NC_2 NC
- GSM7906214 NC_3 NC
- GSM7906215 OE_LARP6_1 OE_LARP6
- GSM7906216 OE_LARP6_2 OE_LARP6
- GSM7906217 OE_LARP6_3 OE_LARP6
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing · shares negative
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing · shares features
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing
- GSE281450 LHPP expression in triple-negative breast cancer promotes tumor growth and metastasis by modulating the tumor microenvironment 12 samples shares modulating, promotes, negative
- GSE268177 Modulating alternative splicing of MECP2: A potential therapeutic strategy for Rett syndrome 93 samples shares alternative, modulating
- GSE296858 Crosstalk between EZH2 and m6A RNA methylation promotes prostate cancer progression through modulating an m6A autoregulation pathway 30 samples shares modulating, promotes
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.