Omics · study · 2026
Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-Seq Exp1]
Listed in NCBI GEO
Primary human myeloid cells are promising candidates for immunotherapy, yet efficient and scalable technologies for genetic engineering and screening in these cells are limited.
Description
Here we present a virus-like particle (VLP)-based toolkit that delivers diverse CRISPR genome editing modalities to human monocytes, macrophages, and dendritic cells with high efficiency while preserving viability and innate immune responsiveness.
VLP-mediated delivery of ribonucleoprotein payloads supports gene knockout, base editing, and epigenetic silencing. Furthermore, in combination with AAV-mediated donor delivery, this approach enables site-specific integration of large DNA sequences via homology-directed repair. We also developed SLICeVLP, a system combining sgRNA delivery via VPX-lentivirus with Cas9 protein delivery via engineered virus-like particles (eVLPs), and applied it to perform pooled loss-of-function screens and Perturb-seq in human macrophages.
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We uncovered regulators of TNF production and CD80 expression in human macrophages, converging on TNFAIP3 as a central regulator of inflammatory polarization. TNFAIP3 ablation promoted a pro-inflammatory cell state that is resistant to suppressive polarization, and augmented cytotoxicity in engineered HER2 CAR-macrophages. Taken together, this platform enables unbiased functional genomics in primary human myeloid cells, with direct implications for myeloid cell therapy design.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE327nnn/GSE327357 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE327357 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1450587 ncbi.nlm.nih.gov/bioproject/PRJNA1450587 ↗
project · from NCBI GEO
- PubMed 42608566 pubmed.ncbi.nlm.nih.gov/42608566 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Industrial biotechnology 71% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE327357 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3106 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |