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Programmable transcript-specific enrichment for single-cell sequencing enables profiling of rare cell states

GSE262355 Homo sapiens; Mus musculus Other; Expression profiling by high throughput sequencing 23 samples Submitted 2024/03/26 Platform GPL18573Platform GPL24676Platform GPL24247Platform GPL34284
Summary
The widespread application of single-cell genomics technologies has accelerated our understanding of the breadth and depth of heterogeneity of cell states across diverse contexts. As single-cell RNA sequencing (scRNA-seq) has been the most popular modality used for profiling, many populations have been described primarily based on specific marker transcript profiles compared to classical cytometry approaches relying on protein expression. Additionally, many single cell studies require the isolation of nuclei from tissue, eliminating the ability to enrich learned rare cell states based on extranuclear protein markers. To address this limitation, we describe Programmable Enrichment via RNA Flow-FISH by sequencing (PERFF-seq), a scalable assay that enables single cell and single nuclei RNA-seq profiling from subpopulations of complex cellular mixtures solely defined by the abundance of RNA transcripts. Across vignettes of immune cell populations as well as nuclei from fresh frozen and formalin-fixed paraffin-embedded brain tissue, we demonstrate the enrichment of cell populations via RNA-based cytometry upstream of high-throughput scRNA-seq. Together, our approach provides a rational, programmable method for studying cell identities and transcriptional heterogeneity of rare populations identifiable by as few as one marker transcript, advancing the rational study of cellular diversity across fresh and archived tissue materials.
Published in
Transcript-specific enrichment enables profiling rare cell states via scRNA-seq
Abay T, Stickels RR, Takizawa MT et al. · bioRxiv : the preprint server for biology 2024 · PMID 38586040 · doi:10.1101/2024.03.27.587039
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Direct links to NCBI, no account and no request form: the whole study as GSE262355_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 23 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1091573 and SRA study SRP497622. Searching any of these in the dataset finder brings you back here.

Study design
22 conditions, each sampled once — no replicated groups
Loss of Y chromosome, Pool ×2

Read from 23 sample titles: 22 distinct titles with little repetition. Check it against the sample list below before relying on it.

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