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Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-Seq Exp1]

GSE327357 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2026/04/08 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 14 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
14 samples: 6 conditions, mostly in duplicateGroups 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.
Summary (written by the submitters)
Primary human myeloid cells are promising candidates for immunotherapy, yet efficient and scalable technologies for genetic engineering and screening in these cells are limited. 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.
Read the full summary ↓
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. 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.
This dataset
Open GSE327357 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE327357_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1450587 and SRA study SRP690147. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in duplicate
Donor 1, untreated, sample collection Day ×2 Donor 1, nucleofection Day 0, sample collecti… ×2 Donor 1, Cas9EDV Day 0, sample collection Day ×2 Donor 2, untreated, sample collection Day ×2 Donor 2, nucleofection Day 0, sample collecti… ×2 Donor 2, Cas9EDV Day 0, sample collection Day ×2 Donor 1, Cas9EDV Day 4, sample collection Day ×1 Donor 2, Cas9EDV Day 4, sample collection Day ×1

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 14 sample titles; they account for 12 of them. 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.

Samples in this study
Datasets on a similar topic

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