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Everything about Single-cell transcriptomics
Analysis technique of genes
Single-cell transcriptomics refers to the quantification and analysis of the transcriptomes of individual cells. Single-cell transcriptomics makes it possible to unravel heterogeneous cell populations, reconstruct cellular developmental pathways, and model transcriptional dynamics. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Single-cell transcriptomicsA 5-minute orientation
- Skim a recent paper: CellChat for systematic analysis of cell–cell communication from single-cell transcriptomicsInfluential work since 2022
- Pick up a classic book: Biological AgingThe most-reprinted book on the subject
- Read the landmark paper: Integrating single-cell transcriptomic data across different conditions, technologies, and speciesCited 13,443 times
- Go sideways: Transcriptomics technologiesA closely related topic
- Go sideways: Spatial transcriptomicsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Massively parallel digital transcriptional profiling of single cells
Deep generative modeling for single-cell transcriptomics
Single-Cell Transcriptomics Meets Lineage Tracing
Single cell transcriptomics comes of age
Disentangling neural cell diversity using single-cell transcriptomics
Embryo-scale, single-cell spatial transcriptomics
Cell fixation and preservation for droplet-based single-cell transcriptomics
🆕 Influential since 2022
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans
Large-scale foundation model on single-cell transcriptomics
Temporal modelling using single-cell transcriptomics
Single-cell transcriptomics unveils xylem cell development and evolution
📚 Books worth reading
Biological AgingTrygve O. Tollefsbol · 2005
Principles of gene manipulation and genomicsS. B. Primrose · 2006
Oral biologyGregory J. Seymour, Mary P. Cullinan · 2010
RNA turnover in eukaryotesLynne Maquat, Megerditch Kiledjian · 2008- 📕Systems metabolic engineeringHal S. Alper · 2013
- 📕Single Cell TranscriptomicsRaffaele Cologero, Vladimír Benes · 2022
- 📕Single Cell TranscriptomicsRaffaele A. Calogero, Vladimir Benes · 2023
Biomacromolecular mass spectrometry researchSimone Koenig · 2008
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Transcriptomics technologies Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content…
- Spatial transcriptomics Spatial transcriptomics, or spatially resolved transcriptomics, is a method that captures positional context of transcriptional activity within intact…
- RNA-Seq RNA-Seq (short for RNA sequencing) is a next-generation sequencing (NGS) technique used to quantify and identify RNA molecules in a biological sample,…
- Single-cell sequencing Single-cell sequencing examines the nucleic acid sequence information from individual cells with optimized next-generation sequencing technologies, providing…
- Transcriptome The transcriptome is the set of all RNA molecules (transcripts) in a cell or a population of cells. It includes all of the functional RNA molecules and…
- Deterministic Barcoding in Tissue for Spatial Omics Sequencing Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) was developed at Yale University by Rong Fan and colleagues in 2020 to create…
- CITE-Seq CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) is a method for performing RNA sequencing along with gaining quantitative and…
- Drop-Seq Drop-Seq is a high-throughput, single-cell RNA sequencing (scRNA-seq) technology used to analyze the mRNA expression of thousands of individual cells by…