Individual ChIP-seq for BRD4 and H3K27ac
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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
- 16 samples: 16 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
- Effective therapeutic targeting of tumor lineage plasticity in neuroendocrine prostate cancer by BRD4 inhibitorsActa pharmaceutica Sinica. B · 2025
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 GSE265759_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 PRJNA1104152 and SRA study SRP503896. 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 16 sample titles: 16 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.
- GSM8228463 LuCaP145.2_H3K27ac_Input_Vehicle
- GSM8228464 LuCaP145.2_H3K27ac_Input_AZD5153
- GSM8228465 LuCaP145.2_H3K27ac_Input_JQ1
- GSM8228466 LuCaP145.2_H3K27ac_Vehicle
- GSM8228467 LuCaP145.2_H3K27ac_JQ1
- GSM8228468 LuCaP145.2_H3K27ac_AZD5153
- GSM8228469 LuCaP145.2_BRD4_Input_Vehicle
- GSM8228470 LuCaP145.2_BRD4_Input_AZD5153
- GSM8228471 LuCaP145.2_BRD4_Input_JQ1
- GSM8228472 LuCaP145.2_BRD4_Vehicle
- GSM8228473 LuCaP145.2_BRD4_AZD5153
- GSM8228474 LuCaP145.2_BRD4_JQ1
- GSM8228475 42D_BRD4_siFOXA1
- GSM8228476 42D_BRD4_siCtrl
- GSM8228477 42D_BRD4_Input_siFOXA1
- GSM8228478 42D_BRD4_Input_siCtrl
- GSE239270 Investigate FOXA2, NKX2-1, CTCF and P300 cistrome and enhancer (H3K27ac and H3k4me1) reprogramming during NEPC transformation by ChIP-seq. 104 samples shares h3k27ac, chip-seq
- GSE224357 H3K27ac ChIP-seq and RNA-seq of papillary thyroid carcinoma patient's tissues and paired normal tissues 12 samples shares h3k27ac, chip-seq
- GSE267119 The transcription factor ZNF469 regulates collagen production in liver fibrosis [Cohort_CUTRUN_H3K27ac] 99 samples shares h3k27ac
- GSE232745 Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) cell lines treated with triptolide for 6 or 16h - H3K27ac CUT&RUN 56 samples shares h3k27ac
- GSE329231 Epigenomic profiling of H3K9me3 and H3K27ac across melanoma cell lines with different mutational backgrounds 45 samples shares h3k27ac
- GSE300094 Genome binding/occupancy profiling of PHF23 and changes in H3K27ac based on the presence of PHF23 14 samples shares h3k27ac
- GSE244630 Global mapping of H3K27ac and RPB1 occupancy upon WNK463 treatment 12 samples shares h3k27ac
- GSE342612 Transcriptomic and H3K27ac chromatin responses of human microglia to acute PFOS exposure and recovery 36 samples shares h3k27ac
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.