Vamsidhar Reddy Netla , Harshraj Shinde , Gulshan Kumar , Ambika Dudhate , Jong Chan Hong , Ulhas Sopanrao Kadam
{"title":"A comparative analysis of single-cell transcriptomic technologies in plants and animals","authors":"Vamsidhar Reddy Netla , Harshraj Shinde , Gulshan Kumar , Ambika Dudhate , Jong Chan Hong , Ulhas Sopanrao Kadam","doi":"10.1016/j.cpb.2023.100289","DOIUrl":null,"url":null,"abstract":"<div><p>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 <em>Arabidopsis thaliana,</em> 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.</p></div>","PeriodicalId":38090,"journal":{"name":"Current Plant Biology","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Plant Biology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221466282300018X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 1
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.
期刊介绍:
Current Plant Biology aims to acknowledge and encourage interdisciplinary research in fundamental plant sciences with scope to address crop improvement, biodiversity, nutrition and human health. It publishes review articles, original research papers, method papers and short articles in plant research fields, such as systems biology, cell biology, genetics, epigenetics, mathematical modeling, signal transduction, plant-microbe interactions, synthetic biology, developmental biology, biochemistry, molecular biology, physiology, biotechnologies, bioinformatics and plant genomic resources.