HIF-2-dependent Regulation of PTHrP and Paraneoplastic Hypercalcemia in Aggressive Clear Cell Renal Cell Carcinoma [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 35 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
- 35 samples: 35 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
- HIF-2-Dependent Regulation of PTHrP and Paraneoplastic Hypercalcemia in Aggressive Clear-Cell Renal Cell CarcinomaCancer discovery · 2025
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 GSE308450_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 PRJNA1330617 and SRA study SRP621808. 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 35 sample titles: 35 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.
- GSM9245805 XP1139c8_73 [ATAC-seq]
- GSM9245806 XP1139c9_60 [ATAC-seq]
- GSM9245807 XP143c13_66 [ATAC-seq]
- GSM9245810 XP1657dc3_48 [ATAC-seq]
- GSM9245811 XP165c13_95 [ATAC-seq]
- GSM9245812 XP1676c3_51 [ATAC-seq]
- GSM9245813 XP1676c4_88 [ATAC-seq]
- GSM9245814 XP289c19_43 [ATAC-seq]
- GSM9245815 XP289c20_42 [ATAC-seq]
- GSM9245816 XP945c9_33 [ATAC-seq]
- GSM9245817 HCCP46 [ATAC-seq]
- GSM9245818 HCCV47 [ATAC-seq]
- GSM9245819 HCCV50 [ATAC-seq]
- GSM9245820 XP1059c7_P1 [ATAC-seq]
- GSM9245821 XP1059c7_V1 [ATAC-seq]
- GSM9245822 XP1087c7_P1 [ATAC-seq]
- GSM9245823 XP1087c7_V2a [ATAC-seq]
- GSM9245824 XP1152c8_P2 [ATAC-seq]
- GSM9245825 XP1152c8_V2 [ATAC-seq]
- GSM9245828 XP1487P [ATAC-seq]
- GSM9245829 XP1487V [ATAC-seq]
- GSM9245830 XP1631c10_P2 [ATAC-seq]
- GSM9245831 XP1631c10_V1 [ATAC-seq]
- GSM9245834 XP296c4_P1 [ATAC-seq]
- GSM9245835 XP296c4_V1 [ATAC-seq]
- GSM9245836 XP374P [ATAC-seq]
- GSM9245837 XP374V [ATAC-seq]
- GSM9245838 XP490c2_P1 [ATAC-seq]
- GSM9245839 XP490c2_V1 [ATAC-seq]
- GSM9245840 XP771bc27_P2 [ATAC-seq]
- GSM9245841 XP771bc27_V1 [ATAC-seq]
- GSM9245842 XP899c9_P2 [ATAC-seq]
- GSM9245843 XP899VB2 [ATAC-seq]
- GSM9245844 XP945c13_P2 [ATAC-seq]
- GSM9245845 XP945c13_V1 [ATAC-seq]
- GSE308449 HIF-2-dependent Regulation of PTHrP and Paraneoplastic Hypercalcemia in Aggressive Clear Cell Renal Cell Carcinoma [RNA-seq] 52 samples shares hif-2-dependent, paraneoplastic, hypercalcemia, aggressive, pthrp, clear, renal
- GSE284553 CEBPA repression by MECOM blocks differentiation to drive aggressive leukemias [ATAC-Seq] 22 samples shares aggressive, atac-seq
- GSE314150 STAG2 loss amplifies EWS-FLI1-driven microsatellite enhancer activity promoting Ewing's sarcoma aggressiveness [ATAC-seq] 9 samples shares aggressive, atac-seq
- GSE274639 MYOD1L122R induces cancer stem cell pathways to impart chemotherapy and radiation-resistance in aggressive rhabdomyosarcoma [scATAC-seq] 4 samples shares aggressive, atac-seq
- GSE288991 Emerin Dysregulation Drives the Very-Small-Nuclear Phenotype and Lineage Plasticity that Associates with a Clinically Aggressive Subtype of Prostate Cancer 18 samples shares aggressive, clear
- GSE274637 MYOD1L122R induces cancer stem cell pathways to impart chemotherapy and radiation-resistance in aggressive rhabdomyosarcoma [ChIP-seq] 32 samples shares aggressive
- GSE274448 Estrogen receptor β target gene expression reveals novel repressive functions in aggressive breast cancer [ChIP-Seq] 24 samples shares aggressive
- GSE227875 DAB2IP Loss in Luminal A Breast Cancer Leads to NF-kB- Associated Aggressive Oncogenic Phenotypes 16 samples shares aggressive
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.