Dual Targeting of PI3Kδ and PPARα Enhances Antitumor Activity via FoxO1 Activation in Follicular Lymphoma
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)
- Topic
- Follicular lymphomaThis series is part of our curated briefing on it.
- Samples
- 12 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.
- Paper
- Dual targeting of PI3Kδ and PPARα enhances antitumor activity via FoxO1 activation in follicular lymphomaCell death & disease · 2026
Read the full summary ↓
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 GSE311442_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 PRJNA1369467. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE272403 Multi-omics profiling of longitudinal samples reveals early genomic changes in follicular lymphoma 76 samples same disease briefing · shares follicular
- GSE261465 STAT6 mutations compensate for CREBBP mutations and hyperactivate IL4/STAT6/RRAGD/mTOR signaling in follicular lymphoma 46 samples same disease briefing · shares follicular
- GSE303548 Cytokine-linked remodeling of the immune microenvironment is a hallmark of transformation in follicular lymphoma [bulkRNA-seq] 36 samples same disease briefing · shares follicular
- GSE255548 EZH2 INHIBITION ENHANCES T CELL IMMUNOTHERAPIES BY INDUCING LYMPHOMA IMMUNOGENICITY AND IMPROVING T CELL FUNCTION (RNA-Seq) 35 samples same disease briefing · shares enhances
- GSE230036 ARID1A Mutations Promote Immune Evasion of Follicular Lymphoma Through Reduced FAS-Mediated Apoptosis by Hindering RUNX3-ETS1 Cooperativity. 30 samples same disease briefing · shares follicular
- GSE261917 The Follicular Lymphoma and Chronic Lymphocytic Leukemia Proliferative Microenvironment at Single-Cell Resolution 14 samples same disease briefing · shares follicular
- GSE303544 Cytokine-linked remodeling of the immune microenvironment is a hallmark of transformation in follicular lymphoma [scRNA-seq] 9 samples same disease briefing · shares follicular
- GSE252687 CaClust: linking genotype to transcriptional heterogeneity of follicular lymphoma using BCR and exomic variants (K4B) 4 samples same disease briefing · shares follicular
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.