2020
DOI: 10.1073/pnas.2010738117
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HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes

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 probe… Show more

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Cited by 28 publications
(16 citation statements)
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“…However, the use of poly (A) tagging strategy improved the efficiency of conversion to a mRNA molecule to amplified cDNA, and used unique molecular identifiers (UMI) tags for each cell can increase the detection of low expression genes [ 19 ]. Although the sequencing technology based on probe hybridization can improve the detection number of cells and transcript detection sensitivity, probe hybridization requires multiple cleaning, resulting in the loss of some cells [ 20 ]. Therefore, different single-cell technologies have different limitations.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the use of poly (A) tagging strategy improved the efficiency of conversion to a mRNA molecule to amplified cDNA, and used unique molecular identifiers (UMI) tags for each cell can increase the detection of low expression genes [ 19 ]. Although the sequencing technology based on probe hybridization can improve the detection number of cells and transcript detection sensitivity, probe hybridization requires multiple cleaning, resulting in the loss of some cells [ 20 ]. Therefore, different single-cell technologies have different limitations.…”
Section: Discussionmentioning
confidence: 99%
“…However, cell lysis, mRNA capture, and reversed transcription can be efficiently carried out by improving the parameters of the microfluidic system, such as fluid speed and pressure [ 17 19 ]. In addition, hybridization of probes to RNA for sequencing (HyPR-seq), which can easily detect more than 100,000 cells in a single experiment, and achieve high sensitivity for individual transcripts in single cells and low-abundance transcripts [ 20 ]. However, multiple rounds of washes for probe hybridization and ligation, which result in some cell loss.…”
Section: Introductionmentioning
confidence: 99%
“…Organ-specific and cell-type specific transcriptomic aging clocks are also a possibility, to invoke some integrated measure of cellular age as a readout ( Meyer and Schumacher 2021 ). The sensitivity of single-cell transcriptomics to small variations in gene expression, or to low abundance transcripts, is considerably lower than that of bulk transcriptomics, but targeted sequencing approaches like HyPR-Seq can achieve much greater sensitivity for a defined, yet still diverse subset of genes, such as aging clock gene arrays ( Marshall et al, 2020 ). More complex clock-like signatures computed from comparisons across species or from responses to known aging drugs ( Tyshkovskiy et al, 2019 ) could also be used as readouts for pooled screening.…”
Section: Applications To Aging Biologymentioning
confidence: 99%
“…The ability to sort and recover cells based on their RNA content could allow selective recovery of cell types of interest that cannot be isolated via FACS, including rare cell types revealed via single-cell transcriptomic studies 35 , cells containing latent integrated viruses, 36 and cells expressing RNA splice isoforms or noncoding RNAs. 37 While RT-PCR for single cells within encapsulated FACS-sortable double emulsion (DE) droplets provides a promising potential sorting method, [11][12][13][14][15][16][17][18] realizing this technology requires successful RT-PCR from single cells within small volumes (<100 pL), at odds with many prior publications reporting that singlecell RT-PCR cannot take place at volumes <1 nL.…”
Section: Discussionmentioning
confidence: 99%