We present a new approach for the sensitive detection and accurate quantitation of messenger ribonucleic acid (mRNA) gene transcripts in single cells. First, the entire population of mRNAs is encoded with molecular barcodes during reverse transcription. After amplification of the gene targets of interest, molecular barcodes are counted by sequencing or scored on a simple hybridization detector to reveal the number of molecules in the starting sample. Since absolute quantities are measured, calibration to standards is unnecessary, and many of the relative quantitation challenges such as polymerase chain reaction (PCR) bias are avoided. We apply the method to gene expression analysis of minute sample quantities and demonstrate precise measure...
This protocol describes how to amplify mRNA isolated from a single cell and then analyze its gene ex...
Gene expression measurements detailing mRNA quantities are widely employed in molecular biology and ...
Estimating the statistics of single-cell RNA numbers has become a key source of information on gene ...
We present a new approach for the sensitive detection and accurate quantitation of messenger ribonuc...
Quantification of mRNA in single cells provides direct insight into how intercellular heterogeneity ...
Methods for single-cell analysis are critical to revealing cell-to-cell variability in biological sy...
Background: Gene expression has a strong stochastic element resulting in highly variable mRNA lev...
<div><p>Gene expression measurements detailing mRNA quantities are widely employed in molecular biol...
Transcription measurements with single cell resolution are critical to understanding variable respon...
Abstract Background RNA-Seq measures gene expression by counting sequence reads belonging to unique ...
Advanced molecular probing techniques such as single molecule fluorescence in situ hybridization (sm...
High-throughput gene expression screens provide a quantitative picture of the average expression sig...
Advanced molecular probing techniques such as single molecule fluorescence in situ hybridization (sm...
<p>(A) Electron micrographs of intact chromosomes extracted from cells provide images of transcribin...
Expression analysis of mRNAs transcribed from certain genes can be used as important sources of biom...
This protocol describes how to amplify mRNA isolated from a single cell and then analyze its gene ex...
Gene expression measurements detailing mRNA quantities are widely employed in molecular biology and ...
Estimating the statistics of single-cell RNA numbers has become a key source of information on gene ...
We present a new approach for the sensitive detection and accurate quantitation of messenger ribonuc...
Quantification of mRNA in single cells provides direct insight into how intercellular heterogeneity ...
Methods for single-cell analysis are critical to revealing cell-to-cell variability in biological sy...
Background: Gene expression has a strong stochastic element resulting in highly variable mRNA lev...
<div><p>Gene expression measurements detailing mRNA quantities are widely employed in molecular biol...
Transcription measurements with single cell resolution are critical to understanding variable respon...
Abstract Background RNA-Seq measures gene expression by counting sequence reads belonging to unique ...
Advanced molecular probing techniques such as single molecule fluorescence in situ hybridization (sm...
High-throughput gene expression screens provide a quantitative picture of the average expression sig...
Advanced molecular probing techniques such as single molecule fluorescence in situ hybridization (sm...
<p>(A) Electron micrographs of intact chromosomes extracted from cells provide images of transcribin...
Expression analysis of mRNAs transcribed from certain genes can be used as important sources of biom...
This protocol describes how to amplify mRNA isolated from a single cell and then analyze its gene ex...
Gene expression measurements detailing mRNA quantities are widely employed in molecular biology and ...
Estimating the statistics of single-cell RNA numbers has become a key source of information on gene ...