Smart-seq2 for sensitive full-length transcriptome profiling in single cells
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Summary
Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells to improve detection, coverage, bias and accuracy.
- Type
- article
- Published
- 2013-09-22
- Cited by
- 2,247
- References
- 23
- OpenAlex
- https://openalex.org/W2019552331
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6356570
Keywords
Transcriptome, Profiling (computer programming), Computational biology, Gene expression profiling, Complementary DNA
References
- High-efficiency full-length cDNA cloning.
- Oligo-capping: a simple method to replace the cap structure of eukaryotic mRNAs with oligoribonucleotides.
- LNA: a versatile tool for therapeutics and genomics.
- Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels.
- Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity
- Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis
- Optimal enzymes for amplifying sequencing libraries
- Betaine can eliminate the base pair composition dependence of DNA melting.
- Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- Full-length cDNAs: more than just reaching the ends.
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.
- Spontaneous mapping of number and space in adults and young children
- RSeQC: quality control of RNA-seq experiments
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
- mRNA-Seq whole-transcriptome analysis of a single cell
- Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction.
- An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data
Cited by
- Cell type specific gene expression analysis of prostate needle biopsies resolves tumor tissue heterogeneity
- A Bead-Based Microfluidic Approach to Integrated Single-Cell Gene Expression Analysis by Quantitative RT-PCR
- Fixed single-cell transcriptomic characterization of human radial glial diversity
- A brief review of single-cell transcriptomic technologies.
- Systems biology in the central nervous system: a brief perspective on essential recent advancements
- NFIX-Mediated Inhibition of Neuroblast Branching Regulates Migration Within the Adult Mouse Ventricular-Subventricular Zone.
- Enzymatic Activity of HPGD in Treg Cells Suppresses Tconv Cells to Maintain Adipose Tissue Homeostasis and Prevent Metabolic Dysfunction.
- DOCK2 sets the threshold for entry into the virtual memory CD8+ T cell compartment by negatively regulating tonic TCR triggering
- Benchmarking full-length transcript single cell mRNA sequencing protocols
- In situ Sequencing : Methods for spatially-resolved transcriptome analysis
- RNA Abundance Analysis: Methods and Protocols
- Preparation of Single-Cell RNA-Seq Libraries for Next Generation Sequencing
- Enhancers and super-enhancers in human disease and therapy
- The microRNA-132 and microRNA-212 cluster regulates hematopoietic stem cell maintenance and survival with age by buffering FOXO3 expression
- The technology and biology of single-cell RNA sequencing.
- Primed and ready: understanding lineage commitment through single cell analysis.
- We can't all be supermodels: the value of comparative transcriptomics to the study of non-model insects
- Single-Cell Transcriptomics Reveals a Population of Dormant Neural Stem Cells that Become Activated upon Brain Injury.
- Metastasis of circulating tumor cells: Favorable soil or suitable biomechanics, or both?
- Progression of RNA-sequencing to single-cell applications
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