Your browser doesn't support javascript.
loading
HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes.
Marshall, Jamie L; Doughty, Benjamin R; Subramanian, Vidya; Guckelberger, Philine; Wang, Qingbo; Chen, Linlin M; Rodriques, Samuel G; Zhang, Kaite; Fulco, Charles P; Nasser, Joseph; Grinkevich, Elizabeth J; Noel, Teia; Mangiameli, Sarah; Bergman, Drew T; Greka, Anna; Lander, Eric S; Chen, Fei; Engreitz, Jesse M.
  • Marshall JL; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Doughty BR; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Subramanian V; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Guckelberger P; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Wang Q; Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, 14195 Berlin, Germany.
  • Chen LM; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Rodriques SG; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114.
  • Zhang K; Program in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA 02115.
  • Fulco CP; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Nasser J; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Grinkevich EJ; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Noel T; MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Mangiameli S; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Bergman DT; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Greka A; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Lander ES; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Chen F; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • Engreitz JM; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
Proc Natl Acad Sci U S A ; 117(52): 33404-33413, 2020 12 29.
Article en En | MEDLINE | ID: mdl-33376219
ABSTRACT
Single-cell quantification of RNAs is important for understanding cellular heterogeneity and gene regulation, yet current approaches suffer from low sensitivity for individual transcripts, limiting their utility for many applications. Here we present Hybridization of Probes to RNA for sequencing (HyPR-seq), a method to sensitively quantify the expression of hundreds of chosen genes in single cells. HyPR-seq involves hybridizing DNA probes to RNA, distributing cells into nanoliter droplets, amplifying the probes with PCR, and sequencing the amplicons to quantify the expression of chosen genes. HyPR-seq achieves high sensitivity for individual transcripts, detects nonpolyadenylated and low-abundance transcripts, and can profile more than 100,000 single cells. We demonstrate how HyPR-seq can profile the effects of CRISPR perturbations in pooled screens, detect time-resolved changes in gene expression via measurements of gene introns, and detect rare transcripts and quantify cell-type frequencies in tissue using low-abundance marker genes. By directing sequencing power to genes of interest and sensitively quantifying individual transcripts, HyPR-seq reduces costs by up to 100-fold compared to whole-transcriptome single-cell RNA-sequencing, making HyPR-seq a powerful method for targeted RNA profiling in single cells.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Sondas de ADN / Análisis de la Célula Individual / Secuenciación de Nucleótidos de Alto Rendimiento / Hibridación de Ácido Nucleico Límite: Animals / Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Sondas de ADN / Análisis de la Célula Individual / Secuenciación de Nucleótidos de Alto Rendimiento / Hibridación de Ácido Nucleico Límite: Animals / Humans Idioma: En Año: 2020 Tipo del documento: Article