Quantitative single-cell RNA-seq with unique molecular identifiers
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Summary
It is shown that molecular labels—random sequences that label individual molecules—can nearly eliminate amplification noise, and that microfluidic sample preparation and optimized reagents produce a fivefold improvement in mRNA capture efficiency.
- Type
- article
- Published
- 2013-12-22
- Cited by
- 1,148
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2084942072
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6765530
Keywords
Complementary DNA, Computational biology, Biology, RNA-Seq, RNA
References
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- Smart-seq2 for sensitive full-length transcriptome profiling in single cells
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- An in situ hybridization-based screen for heterogeneously expressed genes in mouse ES cells.
- Counting absolute numbers of molecules using unique molecular identifiers
- Transcriptional burst frequency and burst size are equally modulated across the human genome
- Contrasting Expression of Keratins in Mouse and Human Embryonic Stem Cells
- Stem cell transcriptome profiling via massive-scale mRNA sequencing
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- Counting individual DNA molecules by the stochastic attachment of diverse labels
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- TGF-β-Superfamily Signaling Regulates Embryonic Stem Cell Heterogeneity: Self-Renewal as a Dynamic and Regulated Equilibrium
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.
- A method for counting PCR template molecules with application to next-generation sequencing
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
- mRNA-Seq whole-transcriptome analysis of a single cell
Cited by
- Genetics of Gene Expression in CNS
- A Bead-Based Microfluidic Approach to Integrated Single-Cell Gene Expression Analysis by Quantitative RT-PCR
- Bioinformatics approaches to single-cell analysis in developmental biology.
- Microfluidic Approaches to Synchrotron Radiation-Based Fourier Transform Infrared (SR-FTIR) Spectral Microscopy of Living Biosystems
- Emerging Imaging and Genomic Tools for Developmental Systems Biology.
- A brief review of single-cell transcriptomic technologies.
- The Chemical Fluctuation Theorem governing gene expression
- Benchmarking full-length transcript single cell mRNA sequencing protocols
- In situ Sequencing : Methods for spatially-resolved transcriptome analysis
- Proximity Ligation and Barcoding Assays : Tools for analysis of proteins and protein complexes
- BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
- Developments in Human Pluripotent Stem Cell Genome Engineering and in Situ Sequencing Technologies
- Genetic studies on primary immunodeficiency diseases
- A survey of human brain transcriptome diversity at the single cell level
- The technology and biology of single-cell RNA sequencing.
- Primed and ready: understanding lineage commitment through single cell analysis.
- Scalable microfluidics for single-cell RNA printing and sequencing
- Cross Talk in HEK293 Cells Between Nrf2, HIF, and NF-κB Activities upon Challenges with Redox Therapeutics Characterized with Single-Cell Resolution
- Deciphering regulation in eukaryotic cell: from sequence to function
- Cellular Deconstruction: Finding Meaning in Individual Cell Variation
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