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Open AccessJournal ArticleDOI

High-throughput microfluidic single-cell RT-qPCR

TLDR
This work presents a fully integrated microfluidic device capable of performing high-precision RT-qPCR measurements of gene expression from hundreds of single cells per run, and shows that nanoliter volume processing reduced measurement noise, increased sensitivity, and provided single nucleotide specificity.
Abstract
A long-sought milestone in microfluidics research has been the development of integrated technology for scalable analysis of transcription in single cells Here we present a fully integrated microfluidic device capable of performing high-precision RT-qPCR measurements of gene expression from hundreds of single cells per run Our device executes all steps of single-cell processing, including cell capture, cell lysis, reverse transcription, and quantitative PCR In addition to higher throughput and reduced cost, we show that nanoliter volume processing reduced measurement noise, increased sensitivity, and provided single nucleotide specificity We apply this technology to 3,300 single-cell measurements of (i) miRNA expression in K562 cells, (ii) coregulation of a miRNA and one of its target transcripts during differentiation in embryonic stem cells, and (iii) single nucleotide variant detection in primary lobular breast cancer cells The core functionality established here provides the foundation from which a variety of on-chip single-cell transcription analyses will be developed

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Citations
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Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis

TL;DR: In this paper, a stochastic particle barcoding (SPB) method for tracking cell identity across bioanalytical platforms is presented. But, the method requires a large number of fluorescent beads, whose number, color, and position encode the identity of the cell.
Patent

Methods and compositions for determining specifc tcr and bcr chain pairings

TL;DR: In this paper, the authors proposed methods for determining TCR α/γ and TCR β/δ chain pairings in T cell(s) of interest within a population of T cells.
Journal ArticleDOI

Droplet-based microsystems as novel assessment tools for oral microbial dynamics

TL;DR: In this article , the potential of droplet-based microfluidics as an alternative approach for culturing microorganisms and assessing the oral microbiome dynamics is reviewed, and the state of the art and recent progress in the field of oral microbiology is discussed.
References
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Journal ArticleDOI

MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
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MicroRNA expression profiles classify human cancers

TL;DR: A new, bead-based flow cytometric miRNA expression profiling method is used to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers, and finds the miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours.
Journal ArticleDOI

Real-time quantification of microRNAs by stem–loop RT–PCR

TL;DR: A novel microRNA quantification method has been developed using stem–loop RT followed by TaqMan PCR analysis, which enables fast, accurate and sensitive miRNA expression profiling and can identify and monitor potential biomarkers specific to tissues or diseases.
Journal ArticleDOI

Monolithic microfabricated valves and pumps by multilayer soft lithography

TL;DR: An extension to the soft lithography paradigm, multilayersoft lithography, with which devices consisting of multiple layers may be fabricated from soft materials is described, to build active microfluidic systems containing on-off valves, switching valves, and pumps entirely out of elastomer.
Journal ArticleDOI

A mammalian microRNA expression atlas based on small RNA library sequencing.

TL;DR: A relatively small set of miRNAs, many of which are ubiquitously expressed, account for most of the differences in miRNA profiles between cell lineages and tissues.
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