Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Choi, Yoon Ha | - |
dc.contributor.author | Kim, Jong Kyoung | - |
dc.date.accessioned | 2019-03-29T02:34:54Z | - |
dc.date.available | 2019-03-29T02:34:54Z | - |
dc.date.created | 2019-03-29 | - |
dc.date.issued | 2019-03 | - |
dc.identifier.issn | 1016-8478 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/9682 | - |
dc.description.abstract | Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological system is developed, homeo-statically regulated, and responds to external perturbations. Single-cell RNA sequencing (scRNA-seq) allows the quantitative and unbiased characterization of cellular heterogeneity by providing genome-wide molecular profiles from tens of thousands of individual cells. A major question in analyzing scRNA-seq data is how to account for the observed cell-to-cell variability. In this review, we provide an overview of scRNA-seq protocols, computational approaches for dissecting cellular heterogeneity, and future directions of single-cell transcriptomic analysis. | - |
dc.language | English | - |
dc.publisher | 한국분자세포생물학회 | - |
dc.title | Dissecting Cellular Heterogeneity Using Single-Cell RNA Sequencing | - |
dc.type | Article | - |
dc.identifier.doi | 10.14348/molcells.2019.2446 | - |
dc.identifier.scopusid | 2-s2.0-85064007878 | - |
dc.identifier.bibliographicCitation | Molecules and Cells, v.42, no.3, pp.189 - 199 | - |
dc.identifier.kciid | ART002447715 | - |
dc.description.isOpenAccess | TRUE | - |
dc.subject.keywordAuthor | cellular heterogeneity | - |
dc.subject.keywordAuthor | RNA sequencing | - |
dc.subject.keywordAuthor | singlecell | - |
dc.subject.keywordAuthor | single-cell genomics | - |
dc.subject.keywordAuthor | single-cell transcriptomics | - |
dc.subject.keywordPlus | GENE-EXPRESSION | - |
dc.subject.keywordPlus | TRANSCRIPTIONAL LANDSCAPE | - |
dc.subject.keywordPlus | SEQ DATA | - |
dc.subject.keywordPlus | GENOME | - |
dc.subject.keywordPlus | QUANTIFICATION | - |
dc.subject.keywordPlus | VISUALIZATION | - |
dc.subject.keywordPlus | CHALLENGES | - |
dc.subject.keywordPlus | CYTOMETRY | - |
dc.subject.keywordPlus | INFERENCE | - |
dc.subject.keywordPlus | IDENTITY | - |
dc.citation.endPage | 199 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 189 | - |
dc.citation.title | Molecules and Cells | - |
dc.citation.volume | 42 | - |
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