Low Molecular Weight Cyclin E Confers a Vulnerability to PKMYT1 Inhibition in Triple-Negative Breast Cancer
RNA-seq (gene expression) · mouse · 33 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
- 33 samples: 11 × MYT vs 5 × VEH vs 4 × SPONGroups 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
- Low-Molecular Weight Cyclin E Confers a Vulnerability to PKMYT1 Inhibition in Triple-Negative Breast CancerCancer research · 2024
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 GSE273940_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 PRJNA1144132 and SRA study SRP524122. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 3 replicated groups read from 33 sample titles; they account for 20 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.
- GSM8440113 3438VEH_7
- GSM8440114 3440VEH_7
- GSM8440115 3443VEH_7
- GSM8440116 3435M20_7
- GSM8440117 3439M20_7
- GSM8440118 3437M20_7
- GSM8440119 3436M20_7
- GSM8440120 VEH2140 VEH
- GSM8440121 VEH302 VEH
- GSM8440122 VEH2857 VEH
- GSM8440123 VEH2855 VEH
- GSM8440124 VEH2860 VEH
- GSM8440125 MYT428 MYT
- GSM8440126 MYT410 MYT
- GSM8440127 MYT2641 MYT
- GSM8440128 MYT2639 MYT
- GSM8440129 MYT2706 MYT
- GSM8440130 MYT2645 MYT
- GSM8440131 MYT2642 MYT
- GSM8440132 MYT450 MYT
- GSM8440133 MYT427 MYT
- GSM8440134 MYT431 MYT
- GSM8440135 MYT968 MYT
- GSM8440136 SPON648 SPON
- GSM8440137 SPON403 SPON
- GSM8440138 SPON441H
- GSM8440139 SPON708 SPON
- GSM8440140 SPON911 SPON
- GSM8440141 1633_WT
- GSM8440142 1636_WT
- GSM8440143 1659_WT
- GSM8440144 2544_WT
- GSM8440145 2661_WT
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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.