MARK2/MARK3 kinases are catalytic co-dependencies of YAP/TAZ in human cancer
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 192 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 192 samples: 62 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.
- Paper
- MARK2/MARK3 Kinases Are Catalytic Codependencies of YAP/TAZ in Human CancerCancer discovery · 2024
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 GSE242517_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1013786 and SRA study SRP457503. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 126 samples.
How we read this: 62 replicated groups read from 192 sample titles; they account for 126 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.
- GSM7745162 CUT&RUN MDA-MB231 H3K27ac d5 sgCtrl
- GSM7745163 CUT&RUN MDA-MB231 H3K27ac d5 sgYAP/TAZ
- GSM7745164 CUT&RUN MDA-MB231 H3K27ac d7 sgCtrl
- GSM7745165 CUT&RUN MDA-MB231 H3K27ac d7 sgMARK2+3, rep1 CUT&RUN MDA-MB231 H3K27…
- GSM7745166 CUT&RUN MDA-MB231 H3K27ac d7 sgMARK2+3, rep2 CUT&RUN MDA-MB231 H3K27…
- GSM7745167 CUT&RUN MDA-MB231 H3K27ac d7 sgMARK2+3, rep3 CUT&RUN MDA-MB231 H3K27…
- GSM7745168 CUT&RUN MDA-MB231 IgG d5 sgCtrl
- GSM7745169 CUT&RUN MDA-MB231 IgG d5 sgYAP/TAZ
- GSM7745170 CUT&RUN MDA-MB231 IgG d7 sgCtrl
- GSM7745171 CUT&RUN MDA-MB231 IgG d7 sgMARK2+3, rep1 CUT&RUN MDA-MB231 IgG d…
- GSM7745172 CUT&RUN MDA-MB231 IgG d7 sgMARK2+3, rep2 CUT&RUN MDA-MB231 IgG d…
- GSM7745173 CUT&RUN MDA-MB231 IgG d7 sgMARK2+3, rep3 CUT&RUN MDA-MB231 IgG d…
- GSM7764903 RNA-seq A549_sgCtrl_rep1 RNA-seq A549_sgCtrl
- GSM7764904 RNA-seq A549_sgCtrl_rep2 RNA-seq A549_sgCtrl
- GSM7764905 RNA-seq A549_sgM2_3_rep1 RNA-seq A549_sgM2_3
- GSM7764906 RNA-seq A549_sgM2_3_rep2 RNA-seq A549_sgM2_3
- GSM7764907 RNA-seq A549_sgY1T1_rep1 RNA-seq A549_sgY1T1
- GSM7764908 RNA-seq A549_sgY1T1_rep2 RNA-seq A549_sgY1T1
- GSM7764909 RNA-seq ASPC1_sgCtrl_rep1 RNA-seq ASPC1_sgCtrl
- GSM7764910 RNA-seq ASPC1_sgCtrl_rep2 RNA-seq ASPC1_sgCtrl
- GSM7764911 RNA-seq ASPC1_sgM2_3_rep1 RNA-seq ASPC1_sgM2_3
- GSM7764912 RNA-seq ASPC1_sgM2_3_rep2 RNA-seq ASPC1_sgM2_3
- GSM7764913 RNA-seq ASPC1_sgY1T1_rep1 RNA-seq ASPC1_sgY1T1
- GSM7764914 RNA-seq ASPC1_sgY1T1_rep2 RNA-seq ASPC1_sgY1T1
- GSM7764915 RNA-seq H1048_sgCtrl_rep1 RNA-seq H1048_sgCtrl
- GSM7764916 RNA-seq H1048_sgCtrl_rep2 RNA-seq H1048_sgCtrl
- GSM7764917 RNA-seq H1048_sgM2_3_rep1 RNA-seq H1048_sgM2_3
- GSM7764918 RNA-seq H1048_sgM2_3_rep2 RNA-seq H1048_sgM2_3
- GSM7764919 RNA-seq H1048_sgY1T1_rep1 RNA-seq H1048_sgY1T1
- GSM7764920 RNA-seq H1048_sgY1T1_rep2 RNA-seq H1048_sgY1T1
- GSM7764921 RNA-seq H1299_sgCtrl_rep1 RNA-seq H1299_sgCtrl
- GSM7764922 RNA-seq H1299_sgCtrl_rep2 RNA-seq H1299_sgCtrl
- GSM7764923 RNA-seq H1299_sgM2_3_rep1 RNA-seq H1299_sgM2_3
- GSM7764924 RNA-seq H1299_sgM2_3_rep2 RNA-seq H1299_sgM2_3
- GSM7764925 RNA-seq H1299_sgY1T1_rep1 RNA-seq H1299_sgY1T1
- GSM7764926 RNA-seq H1299_sgY1T1_rep2 RNA-seq H1299_sgY1T1
- GSM7764927 RNA-seq H23_sgCtrl_rep1 RNA-seq H23_sgCtrl
- GSM7764928 RNA-seq H23_sgCtrl_rep2 RNA-seq H23_sgCtrl
- GSM7764929 RNA-seq H23_sgM2_3_rep1 RNA-seq H23_sgM2_3
- GSM7764930 RNA-seq H23_sgM2_3_rep2 RNA-seq H23_sgM2_3
+ 152 more — browse all 192 samples with per-sample file links →
- GSE242516 MARK2/MARK3 kinases are catalytic co-dependencies of YAP/TAZ in human cancer [RNA-seq] 180 samples shares mark2, mark3, yap, taz, co-dependencies, catalytic, kinases
- GSE241897 MARK2/MARK3 kinases are catalytic co-dependencies of YAP/TAZ in human cancer [CUT&RUN] 12 samples shares mark2, mark3, yap, taz, co-dependencies, catalytic, kinases
- GSE59230 Regulation of gene expression by loss-of-YAP/TAZ in MDA-MB-231 breast cancer cells 12 samples shares yap, taz
- GSE261673 The Hippo pathway transcription factors YAP and TAZ play HPV-type dependent roles in cervical cancer 10 samples shares yap, taz
- GSE295183 HIF2ɑ Requires Engagement with YAP/TAZ and AP-1 Transcription Factors to Maintain Oncogenic Transcription in Clear Cell Renal Cell Carcinoma [CUT&Tag] 60 samples shares yap, taz
- GSE330470 ChIP-seq and CUT&Tag profiling of the genome binding of YAP/TAZ-TEAD and SMAD3 in the human HCC cell line HCCLM3 [ChIP-seq] 55 samples shares yap, taz
- GSE259388 YAP1/TAZ knockdown in melanoma 54 samples shares yap, taz
- GSE275987 YAP/TAZ cooperate with AP-1 to drive the mesenchymal cell state in neuroblastoma [CnR] 42 samples shares yap, taz
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.