<HashMap><database>ENA</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525842/DRR525842_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525845/DRR525845_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525846/DRR525846_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525844/DRR525844_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525845/DRR525845_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525847/DRR525847_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525841/DRR525841_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525844/DRR525844_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525847/DRR525847_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525843/DRR525843.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525842/DRR525842_2.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525846/DRR525846_1.fastq.gz</Fastqsanger.gz><Fastqsanger.gz>ftp://ftp.sra.ebi.ac.uk/vol1/fastq/DRR525/DRR525841/DRR525841_1.fastq.gz</Fastqsanger.gz></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><strain>THP1 cells</strain><omics_type>Genomics</omics_type><center_name>The University of Tokyo</center_name><full_dataset_link>https://www.ebi.ac.uk/ena/browser/view/PRJDB17362</full_dataset_link><scientific_name>Homo sapiens</scientific_name><long_description>Recent advancements in image-based pooled CRISPR screening have facilitated the mapping of diverse genotype-phenotype associations within mammalian cells. However, the rapid enrichment of cells based on morphological information continues to pose a challenge, thereby constraining the capacity for large-scale gene perturbation screening across diverse high-content cellular phenotypes. In this study, we demonstrate the applicability of multimodal ghost cytometry-based cell sorting, including both fluorescent and label-free high-content phenotypes, for rapid pooled CRISPR screening within vast cell populations. Using the high-content cell sorter operating in fluorescence mode, we successfully executed kinase-specific CRISPR screening targeting genes influencing the nuclear translocation of RelA. Furthermore, using the multi-parametric, label-free mode, we performed large-scale screening to identify genes involved in macrophage polarization. Notably, the label-free platform can enrich target phenotypes without requiring invasive staining, preserving untouched cells for downstream assays, and expanding the potential for screening cellular phenotypes even when suitable markers are absent.</long_description><tag>xref:EuropePMC:PMC10985231</tag><repository>ENA</repository></additional><is_claimable>false</is_claimable><name>Homo sapiens strain:THP1 cells</name><description>Pooled CRISPR Screening of High-content Cellular Phenotypes by Ghost Cytometry</description><dates><last_updated>2025-09-24</last_updated><first_public>2024-01-26</first_public></dates><accession>PRJDB17362</accession><cross_references><taxon>9606</taxon></cross_references></HashMap>