Large-scale transcriptomic analyses reveal downstream target genes of ZFY1 and ZFY2 transcription factors in male germ cells
RNA-seq (gene expression) · mouse · 48 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
- 48 samples: 48 samples, each with a distinct title — no replicated groupsGroups 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
- Large-scale transcriptomic analyses reveal downstream target genes of ZFY1 and ZFY2 transcription factors in male germ cellsCell death and differentiation · 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 GSE281037_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 PRJNA1181871 and SRA study SRP543150. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 48 sample titles: 48 distinct titles with little repetition. 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.
- GSM8609620 sample1_S1
- GSM8609621 sample2_S2
- GSM8609622 sample3_S3
- GSM8609623 sample4_S4
- GSM8609624 sample5_S5
- GSM8609625 sample6_S6
- GSM8609626 sample7_S7
- GSM8609627 sample8_S8
- GSM8609628 sample9_S9
- GSM8609629 sample10_S10
- GSM8609630 sample11_S11
- GSM8609631 sample12_S12
- GSM8609632 1_XY_sc2
- GSM8609633 2_XY_sc2
- GSM8609634 3_XY_sc2
- GSM8609635 4_Zfy_DKO_sc2
- GSM8609636 5_Zfy_DKO_sc2
- GSM8609637 6_Zfy_DKO_sc2
- GSM8609638 7_XY_rs
- GSM8609639 8_XY_rs
- GSM8609640 9_XY_rs
- GSM8609641 10_XY_sc1
- GSM8609642 11_XY_sc1
- GSM8609643 12_XY_sc1
- GSM8609644 13_Zfy2_KO_sc1
- GSM8609645 14_Zfy2_KO_sc1
- GSM8609646 15_Zfy2_KO_sc1
- GSM8609647 16_Zfy2_KO_sc2
- GSM8609648 17_Zfy2_KO_sc2
- GSM8609649 18_Zfy2_KO_sc2
- GSM8609650 19_Zfy2_KO_rs
- GSM8609651 20_Zfy2_KO_rs
- GSM8609652 21_Zfy2_KO_rs
- GSM8609653 22_Zfy1_KO_sc1
- GSM8609654 23_Zfy1_KO_sc1
- GSM8609655 24_Zfy1_KO_sc1
- GSM8609656 25_Zfy1_KO_sc2
- GSM8609657 26_Zfy1_KO_sc2
- GSM8609658 27_Zfy1_KO_sc2
- GSM8609659 28_Zfy1_KO_rs
+ 8 more — browse all 48 samples with per-sample file links →
- GSE269910 The pioneer transcription factor PBX as a downstream target of MNX1 [ACT] 55 samples shares transcription, downstream, target
- GSE326173 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [ChIP-seq] 42 samples shares transcription, factors, target
- GSE269913 The pioneer transcription factor PBX as a downstream target of MNX1 [ATAC] 10 samples shares transcription, downstream, target
- GSE270036 Investigate the functions of core pluripotency transcription factors in embryonic stem cells 30 samples shares transcription, factors
- GSE297609 NK cells in the female reproductive tract (FRT) acquire an effector transcriptional program during menstruation 19 samples shares transcription, male
- GSE283382 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development [TBLC_RNAseq] 98 samples shares transcription, factors
- GSE282280 DNA methylation-sensitive transcription factors and bivalency orchestrate transposon expression in the absence of DNA methylation. 93 samples shares transcription, factors
- GSE283958 Cohesin recruitment to promoters and enhancers by general transcription factors and chromatin regulators 47 samples shares transcription, factors
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.