Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulation
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 175 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
- Mus musculus (mouse)
- Samples
- 175 samples: 163 distinct titles, 12 of them repeatedGroups 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
- Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulationCell systems · 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 GSE263763_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 PRJNA1099184 and SRA study SRP501184. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 175 sample titles: 163 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.
- GSM8197979 ATAC_Candida_2h_R1_1
- GSM8197980 ATAC_Candida_4h_R1_1
- GSM8197981 ATAC_Candida_6h_R1_1
- GSM8197982 ATAC_Candida_8h_R1_1
- GSM8197983 ATAC_untreated_0h_R1_1
- GSM8197984 ATAC_IFNbeta_2h_R1_1
- GSM8197985 ATAC_IFNbeta_4h_R1_1
- GSM8197986 ATAC_IFNbeta_6h_R1_1
- GSM8197987 ATAC_IFNbeta_8h_R1_1
- GSM8197988 ATAC_IFNgamma_2h_R1_1
- GSM8197989 ATAC_IFNgamma_4h_R1_1
- GSM8197990 ATAC_IFNgamma_6h_R1_1
- GSM8197991 ATAC_IFNgamma_8h_R1_1
- GSM8197992 ATAC_LCMV_2h_R1_1
- GSM8197993 ATAC_LCMV_4h_R1_1
- GSM8197994 ATAC_LCMV_6h_R1_1
- GSM8197995 ATAC_LCMV_8h_R1_1
- GSM8197996 ATAC_Listeria_2h_R1_1
- GSM8197997 ATAC_Listeria_4h_R1_1
- GSM8197998 ATAC_Listeria_6h_R1_1
- GSM8197999 ATAC_Listeria_8h_R1_1
- GSM8198000 ATAC_LPS_2h_R1_1
- GSM8198001 ATAC_LPS_4h_R1_1
- GSM8198002 ATAC_LPS_6h_R1_1
- GSM8198003 ATAC_LPS_8h_R1_1
- GSM8198004 ATAC_Candida_2h_R2_1
- GSM8198005 ATAC_Candida_4h_R2_1
- GSM8198006 ATAC_Candida_6h_R2_1
- GSM8198007 ATAC_Candida_8h_R2_1
- GSM8198008 ATAC_untreated_0h_R2_1
- GSM8198009 ATAC_IFNbeta_2h_R2_1
- GSM8198010 ATAC_IFNbeta_4h_R2_1
- GSM8198011 ATAC_IFNbeta_6h_R2_1
- GSM8198012 ATAC_IFNbeta_8h_R2_1
- GSM8198013 ATAC_IFNgamma_2h_R2_1
- GSM8198014 ATAC_IFNgamma_4h_R2_1
- GSM8198015 ATAC_IFNgamma_6h_R2_1
- GSM8198016 ATAC_IFNgamma_8h_R2_1
- GSM8198017 ATAC_LCMV_2h_R2_1
- GSM8198018 ATAC_LCMV_4h_R2_1
+ 135 more — browse all 175 samples with per-sample file links →
- GSE263758 Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulation [ATAC-seq] 78 samples shares crispr, high-content, time-series, integrated, macrophage, screening, delineate, dynamics
- GSE263759 Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulation [RNA-seq] 64 samples shares crispr, high-content, time-series, integrated, macrophage, screening, delineate, dynamics
- GSE263761 Integrated time-series analysis and high-content CRISPR screening delineate the dynamics of macrophage immune regulation [CROP-seq KO150] 27 samples shares crispr, high-content, time-series, integrated, macrophage, screening, delineate, dynamics
- GSE312282 In vivo CRISPR screening identifies SAGA complex members as a key regulators of hematopoiesis [RNA] 56 samples shares crispr, screening
- GSE326336 CRISPR/Cas9 screening reveals key role of STK11/LKB1 in vasopressin-mediated regulation of Aqp2 transcription 44 samples shares crispr, screening
- GSE297349 CRISPR-Cas9 Screening Reveals Microproteins Regulating Adipocyte Proliferation and Lipid Metabolism [RNA-seq] 18 samples shares crispr, screening
- GSE317949 Rational design of immune gene therapy combinations via in vivo CRISPR activation screening of tumor microenvironment modulators [APCM_BulkRNASeq_OT1] 15 samples shares crispr, screening
- GSE255514 Rational design of immune gene therapy combinations via in vivo CRISPR activation screening of tumor microenvironment modulators [Bulk RNA-seq] 15 samples shares crispr, screening
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.