Cited 13 time in
A comparative analysis of single-cell transcriptomic technologies in plants and animals
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Netla, Vamsidhar Reddy | - |
| dc.contributor.author | Shinde, Harshraj | - |
| dc.contributor.author | Kumar, Gulshan | - |
| dc.contributor.author | Dudhate, Ambika | - |
| dc.contributor.author | Hong, Jong Chan | - |
| dc.contributor.author | Kadam, Ulhas Sopanrao | - |
| dc.date.accessioned | 2023-08-17T01:41:56Z | - |
| dc.date.available | 2023-08-17T01:41:56Z | - |
| dc.date.issued | 2023-09 | - |
| dc.identifier.issn | 2214-6628 | - |
| dc.identifier.issn | 2214-6628 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/67524 | - |
| dc.description.abstract | The development of sequencing methods has resulted in the investigation of many unexplored research areas. Among the different sequencing methods, single-cell transcriptomics is versatile and has completely changed the researchers' perception of biological processes from tissue to single-cell. Single-cell transcriptomic is applied in various fields to reveal cell-cell interaction, phytopathogenic interactions, cell-specific genetic expression, regulatory pathways, and the effects of drugs on cells. Single-cell transcriptomics was initially applied to the model organisms, such as mice and Arabidopsis thaliana, and then later expanded to other non-model species. Recently, single-cell transcriptomics is revolutionizing plant and animal research. The direct application of single-cell transcriptomics has become simple with advanced sequencing methods and data analysis tools available. This review summarizes the latest knowledge on single-cell transcriptomics in plant and animal research. We emphasize various sequencing methods, bioinformatics software development, comparison between plant and animal single-cell transcriptomics studies, and the limitations and future prospectus. © 2023 The Authors | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier B.V. | - |
| dc.title | A comparative analysis of single-cell transcriptomic technologies in plants and animals | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.cpb.2023.100289 | - |
| dc.identifier.scopusid | 2-s2.0-85166619464 | - |
| dc.identifier.wosid | 001048113200001 | - |
| dc.identifier.bibliographicCitation | Current Plant Biology, v.35-36 | - |
| dc.citation.title | Current Plant Biology | - |
| dc.citation.volume | 35-36 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | esci | - |
| dc.relation.journalResearchArea | Plant Sciences | - |
| dc.relation.journalWebOfScienceCategory | Plant Sciences | - |
| dc.subject.keywordPlus | GENOME-WIDE EXPRESSION | - |
| dc.subject.keywordPlus | RNA SEQUENCING REVEALS | - |
| dc.subject.keywordPlus | STOMATAL LINEAGE | - |
| dc.subject.keywordPlus | SEQ | - |
| dc.subject.keywordPlus | STATES | - |
| dc.subject.keywordPlus | ROOT | - |
| dc.subject.keywordPlus | LEAF | - |
| dc.subject.keywordAuthor | Bioinformatics | - |
| dc.subject.keywordAuthor | Plants | - |
| dc.subject.keywordAuthor | Regulatory pathways | - |
| dc.subject.keywordAuthor | Sequencing | - |
| dc.subject.keywordAuthor | Single-cell transcriptomics | - |
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