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Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiation [Hoxb8-FL RNA-Seq]

GSE202584 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/04/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
Mus musculus (mouse)
Samples
15 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
Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiationScience immunology · 2024
Summary (written by the submitters)
The development of all dendritic cells (DCs) including antigen-presenting conventional DCs (cDCs) and cytokine-producing plasmacytoid DCs (pDCs) is controlled by the growth factor Flt3 ligand (Flt3L) and its receptor Flt3. We genetically dissected this common Flt3L-driven pathway of DCs differentiation using CRISPR/Cas9-based dropout screening in a Flt3L-dependent progenitor cell line.
Read the full summary ↓
Genome-wide screening identified multiple regulators of DC differentiation including the glycosylphosphatidylinositol transamidase complex and arginine methyltransferase Carm1, whose role was confirmed in vivo. It also showed that negative regulators of mTOR signaling, including the subunits of TSC and GATOR1 complexes, restricted progenitor growth but enabled DC differentiation, demonstrating that a TSC- and GATOR1-mediated shutdown of mTOR is required for the process. An orthogonal screen focused on transcriptional regulators showed that Trim33 (TIF-1g) is required for DC differentiation. Conditional targeting in vivo revealed an essential role of Trim33 in the development of all DCs, but not of monocytes or granulocytes. In particular, inducible deletion of Trim33 caused a rapid loss of all DC progenitors, pDCs and the cross-presenting cDC1 subset. The loss of Trim33 from DC progenitors caused spontaneous interferon and inflammatory response, aberrant induction of macrophage-specific genes, and failure to induce DC differentiation program. Collectively, these data elucidate common mechanisms that control Flt3L-driven differentiation of the entire DC lineage, and identify Trim33 as its essential regulator.
Published in
Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiation
Tiniakou I, Hsu PF, Lopez-Zepeda LS et al. · Science immunology 2024 · PMID 38608038 · doi:10.1126/sciimmunol.adi1023
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 GSE202584_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 PRJNA836605 and SRA study SRP374423. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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