GEO series

Reconstruction of the dynamic regulatory network that controls Th17 cell differentiation by systematic perturbation in primary cells (Affymetrix timecourse IL23 KO)

GSE43969 Mus musculus (mouse) Expression microarray 20 samples Submitted 2013/03/07 Platform GPL8321

At a glance

Expression microarray · mouse · 20 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Mus musculus (mouse)
Samples: 20 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Despite their enormous importance, the molecular circuits that control the differentiation of Th17 cells remain largely unknown. Recent studies have reconstructed regulatory networks in mammalian cells, but have focused on short-term responses and relied on perturbation approaches that cannot be applied to primary T cells.

Read the full summary ↓

Here, we develop a systematic strategy – combining transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing gene perturbations in primary T cells – to derive and experimentally validate a temporal model of the dynamic regulatory network that controls Th17 differentiation. The network is arranged into two self-reinforcing and mutually antagonistic modules that either suppress or promote Th17 differentiation. The two modules contain 12 novel regulators with no previous implication in Th17 differentiation, which may be essential to maintain the appropriate balance of Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors that are embedded within a comprehensive temporal network and identifies novel drug targets and organizational principles for the differentiation of Th17 cells.

This dataset

Open GSE43969 in finder → Find more mouse microarray datasets →

Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE43969_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA188248. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 23467089) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 20 more — browse all 20 samples with per-sample file links →

Datasets on a similar topic

GSE75109 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [IL1B_IL6_IL23-48h-IL-17A/GFP+] 139 samples shares th17, il23
GSE233908 Transcription factor TCF1 binds Rorgt and orchestrates a regulatory network that determines homeostatic Th17 cell state 21 samples shares th17, regulatory
GSE233905 Transcription factor TCF1 binds Rorgt and orchestrates a regulatory network that determines homeostatic Th17 cell state [ATAC-seq] 13 samples shares th17, regulatory
GSE243566 Systematic perturbations of SETD2, NSD1, NSD2, NSD3 and ASH1L reveal their distinct contributions to H3K36 methylation 125 samples shares perturbation, systematic
GSE283961 LMX1B missense-perturbation of regulatory element footprints disrupt postnatal serotonergic forebrain axon arborization 12 samples shares perturbation, regulatory
GSE18348 Induction of intestinal Th17 cells by segmented filamentous bacteria 14 samples shares th17
GSE23505 Enhanced Pathogenicity of Th17 cells Generated in the Absence of Transforming Growth Factor-β Signaling 10 samples shares th17
GSE75111 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [TGFB1_IL6-48h-IL-17A/GFP+] 151 samples shares th17

Search all mouse microarray datasets in GEO →

Share this dataset

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.