Dissecting PADI6 function defines oocyte cytoplasmic lattices as regulatory hubs for fundamental cellular processes
RNA-seq (gene expression) · mouse · 72 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
- 72 samples: 18 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.
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 GSE289965_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 PRJNA1225664 and SRA study SRP564977. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 18 replicated groups read from 72 sample titles; they account for 36 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.
- GSM8802648 C663A_Oocyte_1a
- GSM8802649 C663A_Oocyte_1b
- GSM8802650 C663A_Oocyte_1c
- GSM8802651 WT_Oocyte_1a
- GSM8802652 WT_Oocyte_1b
- GSM8802653 WT_Oocyte_1c
- GSM8802654 C663A_Zygote_1a
- GSM8802655 C663A_Zygote_1b
- GSM8802656 C663A_Zygote_1c
- GSM8802657 C663A_Zygote_2a
- GSM8802658 C663A_Zygote_2b
- GSM8802659 C663A_Zygote_2c
- GSM8802660 KO_Zygote_1a
- GSM8802661 KO_Zygote_1b
- GSM8802662 KO_Zygote_1c
- GSM8802663 KO_Oocyte_1a
- GSM8802664 KO_Oocyte_1b
- GSM8802665 KO_Oocyte_1c
- GSM8802666 WT_Oocyte_2a
- GSM8802667 WT_Oocyte_2b
- GSM8802668 WT_Oocyte_2c
- GSM8802669 WT_Zygote_1a
- GSM8802670 WT_Zygote_1b
- GSM8802671 WT_Zygote_1c
- GSM8802672 WT_Zygote_2a
- GSM8802673 WT_Zygote_2b
- GSM8802674 WT_Zygote_2c
- GSM8802675 C663A_Oocyte_2a
- GSM8802676 C663A_Oocyte_2b
- GSM8802677 C663A_Oocyte_2c
- GSM8802678 KO_Oocyte_2a
- GSM8802679 KO_Oocyte_2b
- GSM8802680 KO_Oocyte_2c
- GSM8802681 C663A_2C_1a_b1 C663A_2C_1a_b
- GSM8802682 C663A_2C_1a_b2 C663A_2C_1a_b
- GSM8802683 C663A_2C_1b_b1 C663A_2C_1b_b
- GSM8802684 C663A_2C_1b_b2 C663A_2C_1b_b
- GSM8802685 C663A_2C_1c_b1 C663A_2C_1c_b
- GSM8802686 C663A_2C_1c_b2 C663A_2C_1c_b
- GSM8802687 WT_2C_1a_b1 WT_2C_1a_b
+ 32 more — browse all 72 samples with per-sample file links →
- GSE285078 MRTFA-SRF driven gene expression promotes cellular stiffness by controlling cytoplasmic Ca2+ and K+ levels in cancer cells II 36 samples shares cytoplasmic, cellular
- GSE273414 MRTFA-SRF driven gene expression promotes cellular stiffness by controlling cytoplasmic Ca2+ and K+ levels in cancer cells 18 samples shares cytoplasmic, cellular
- GSE316549 Loss of maternal PADI6 disrupts DNA methylation and genomic imprinting maintenance in late preimplantation mouse embryos. 19 samples shares padi6
- GSE114456 Integrative and Quantitative Analysis of Tumor Progression Reveals Fundamental Properties of Glioblastoma 152 samples shares fundamental
- GSE291101 Dissecting the Role of Myf6 in Facilitating Fibroblast Conversion into Myogenic Progenitor and Differentiated Cells [RNA-Seq] 77 samples shares dissecting
- GSE90486 Dissecting immune circuits by linking CRISPR pooled screens with single cell RNA-seq [SET1] 62 samples shares dissecting
- GSE117134 Dissecting the autonomy of the liver circadian clock 54 samples shares dissecting
- GSE310028 Dissecting Semaglutide-dependent transcriptome response in obesity and osteoarthritis across tissues at single-cell resolution 28 samples shares dissecting
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.