Advancing root developmental research through single-cell technologies

Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it sp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Minne, Max, Ke, Yuji, Saura Sanchez, Maite, De Rybel, Bert
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Minne, Max
Ke, Yuji
Saura Sanchez, Maite
De Rybel, Bert
description Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.
format Article
fullrecord <record><control><sourceid>ghent</sourceid><recordid>TN_cdi_ghent_librecat_oai_archive_ugent_be_8721708</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_archive_ugent_be_8721708</sourcerecordid><originalsourceid>FETCH-ghent_librecat_oai_archive_ugent_be_87217083</originalsourceid><addsrcrecordid>eNqdjEsOwiAURRloYv3sgQ00oTSldWiMjQtwTih9AuYJBmjXb5u4AkdncM89G1JUtTiXDRdiR_YpvRhjDW_rgvSXcVZeO29oDCHTEWbA8HmDzwpphAQqakuzjWEylqZFRCg1INIM2vqAwThIR7J9Kkxw-vFAeH97XO-lsUtJohsiaJVlUE6uQTeDnMw6DSC7llct6-q_Tl8HpUhy</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Advancing root developmental research through single-cell technologies</title><source>Ghent University Academic Bibliography</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Minne, Max ; Ke, Yuji ; Saura Sanchez, Maite ; De Rybel, Bert</creator><creatorcontrib>Minne, Max ; Ke, Yuji ; Saura Sanchez, Maite ; De Rybel, Bert</creatorcontrib><description>Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.</description><identifier>ISSN: 1369-5266</identifier><identifier>ISSN: 1879-0356</identifier><language>eng</language><subject>Biology and Life Sciences ; GENE-EXPRESSION ; MAIZE ; RESOLUTION ; RESPONSES ; Root development ; Single-cell transcriptomics ; Single-nucleus transcriptomics ; Spatial transcriptomics ; STOMATAL LINEAGE ; TRAJECTORIES</subject><creationdate>2022</creationdate><rights>No license (in copyright) info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,780,784,4024,27860</link.rule.ids></links><search><creatorcontrib>Minne, Max</creatorcontrib><creatorcontrib>Ke, Yuji</creatorcontrib><creatorcontrib>Saura Sanchez, Maite</creatorcontrib><creatorcontrib>De Rybel, Bert</creatorcontrib><title>Advancing root developmental research through single-cell technologies</title><description>Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.</description><subject>Biology and Life Sciences</subject><subject>GENE-EXPRESSION</subject><subject>MAIZE</subject><subject>RESOLUTION</subject><subject>RESPONSES</subject><subject>Root development</subject><subject>Single-cell transcriptomics</subject><subject>Single-nucleus transcriptomics</subject><subject>Spatial transcriptomics</subject><subject>STOMATAL LINEAGE</subject><subject>TRAJECTORIES</subject><issn>1369-5266</issn><issn>1879-0356</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqdjEsOwiAURRloYv3sgQ00oTSldWiMjQtwTih9AuYJBmjXb5u4AkdncM89G1JUtTiXDRdiR_YpvRhjDW_rgvSXcVZeO29oDCHTEWbA8HmDzwpphAQqakuzjWEylqZFRCg1INIM2vqAwThIR7J9Kkxw-vFAeH97XO-lsUtJohsiaJVlUE6uQTeDnMw6DSC7llct6-q_Tl8HpUhy</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Minne, Max</creator><creator>Ke, Yuji</creator><creator>Saura Sanchez, Maite</creator><creator>De Rybel, Bert</creator><scope>ADGLB</scope></search><sort><creationdate>2022</creationdate><title>Advancing root developmental research through single-cell technologies</title><author>Minne, Max ; Ke, Yuji ; Saura Sanchez, Maite ; De Rybel, Bert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_87217083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biology and Life Sciences</topic><topic>GENE-EXPRESSION</topic><topic>MAIZE</topic><topic>RESOLUTION</topic><topic>RESPONSES</topic><topic>Root development</topic><topic>Single-cell transcriptomics</topic><topic>Single-nucleus transcriptomics</topic><topic>Spatial transcriptomics</topic><topic>STOMATAL LINEAGE</topic><topic>TRAJECTORIES</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Minne, Max</creatorcontrib><creatorcontrib>Ke, Yuji</creatorcontrib><creatorcontrib>Saura Sanchez, Maite</creatorcontrib><creatorcontrib>De Rybel, Bert</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Minne, Max</au><au>Ke, Yuji</au><au>Saura Sanchez, Maite</au><au>De Rybel, Bert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advancing root developmental research through single-cell technologies</atitle><date>2022</date><risdate>2022</risdate><issn>1369-5266</issn><issn>1879-0356</issn><abstract>Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1369-5266
ispartof
issn 1369-5266
1879-0356
language eng
recordid cdi_ghent_librecat_oai_archive_ugent_be_8721708
source Ghent University Academic Bibliography; ScienceDirect Journals (5 years ago - present)
subjects Biology and Life Sciences
GENE-EXPRESSION
MAIZE
RESOLUTION
RESPONSES
Root development
Single-cell transcriptomics
Single-nucleus transcriptomics
Spatial transcriptomics
STOMATAL LINEAGE
TRAJECTORIES
title Advancing root developmental research through single-cell technologies
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T00%3A17%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ghent&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Advancing%20root%20developmental%20research%20through%20single-cell%20technologies&rft.au=Minne,%20Max&rft.date=2022&rft.issn=1369-5266&rft_id=info:doi/&rft_dat=%3Cghent%3Eoai_archive_ugent_be_8721708%3C/ghent%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true