GEO series

TET2 drives myeloid cell fate acquisition through AGO2 modulation [RNA-seq, TET2 KD transdifferentiation]

GSE307201 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/07/09 Platform GPL28038

At a glance

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)
Samples: 12 samples: 6 conditions, mostly in duplicateGroups 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.

Summary (written by the submitters)

We examine the differential transcriptional dynamics during the C/EBPa-driven transdifferentiation of B-cells into iMacs in cells with reduced TET2 levels.

This dataset

Open GSE307201 in finder → Find more human RNA-seq datasets →

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.

Series matrix ↓

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 GSE307201_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1314746 and SRA study SRP617410. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

6 conditions, mostly in duplicate

Control, 0 h, RNA-seq, ×2 Control, 72 h, RNA-seq, ×2 Control, 144 h, RNA-seq, ×2 TET2 KD, 0 h, RNA-seq, ×2 TET2 KD, 72 h, RNA-seq, ×2 TET2 KD, 144 h, RNA-seq, ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study

GSM9218792 Control, 0 h, RNA-seq, r1 Control, 0 h, RNA-seq,
GSM9218793 Control, 0 h, RNA-seq, r2 Control, 0 h, RNA-seq,
GSM9218794 Control, 72 h, RNA-seq, r1 Control, 72 h, RNA-seq,
GSM9218795 Control, 72 h, RNA-seq, r2 Control, 72 h, RNA-seq,
GSM9218796 Control, 144 h, RNA-seq, r1 Control, 144 h, RNA-seq,
GSM9218797 Control, 144 h, RNA-seq, r2 Control, 144 h, RNA-seq,
GSM9218798 TET2 KD, 0 h, RNA-seq, r1 TET2 KD, 0 h, RNA-seq,
GSM9218799 TET2 KD, 0 h, RNA-seq, r2 TET2 KD, 0 h, RNA-seq,
GSM9218800 TET2 KD, 72 h, RNA-seq, r1 TET2 KD, 72 h, RNA-seq,
GSM9218801 TET2 KD, 72 h, RNA-seq, r2 TET2 KD, 72 h, RNA-seq,
GSM9218802 TET2 KD, 144 h, RNA-seq, r1 TET2 KD, 144 h, RNA-seq,
GSM9218803 TET2 KD, 144 h, RNA-seq, r2 TET2 KD, 144 h, RNA-seq,

Datasets on a similar topic

GSE305029 TET2 drives myeloid cell fate acquisition through AGO2 modulation [RNA-seq, AGO2 KD transdifferentiation] 27 samples shares tet2, ago2, transdifferentiation, acquisition, modulation, myeloid, rna-seq, drives
GSE307340 TET2 drives myeloid cell fate acquisition through AGO2 modulation 61 samples shares tet2, ago2, acquisition, modulation, myeloid, drives
GSE304943 TET2 drives myeloid cell fate acquisition through AGO2 modulation [ChIP-seq, TET2] 4 samples shares tet2, ago2, acquisition, modulation, myeloid, drives
GSE298864 Retinoic acid and ascorbate synergize to suppress myeloid leukemia via TET2 activation [MV4-11 RNA-Seq] 12 samples shares tet2, myeloid, rna-seq
GSE241584 Retinoic acid and ascorbate synergize to suppress myeloid leukemia via TET2 activation [U-937 RNA-Seq] 8 samples shares tet2, myeloid, rna-seq
GSE210433 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality [scRNA-seq] 34 samples shares tet2, rna-seq
GSE256159 Glucocorticoid promotes metastasis of colorectal cancer via co-regulation of glucocorticoid receptor and TET2 (RNA-Seq) 21 samples shares tet2, rna-seq
GSE261322 NF-κB- and TET2-mediated macrophage reprogramming overrides the anti-inflammatory effects of hypoxia and improves responses in human cancer (RNA-Seq I). 20 samples shares tet2, rna-seq

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