Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Benchmarking single-cell RNA-sequencing protocols for cell atlas projects

Mereu, E., Lafzi, A., Moutinho, C., Ziegenhain, C., MacCarthy, D. J., Alvarez, A., et al. (2020). Benchmarking single-cell RNA-sequencing protocols for cell atlas projects. Nature Biotechnology, 38, 747-755. doi:10.1038/s41587-020-0469-4.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
https://www.nature.com/articles/s41587-020-0469-4 (Verlagsversion)
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Mereu, Elisabetta1, Autor
Lafzi, Atefeh1, Autor
Moutinho, Catia1, Autor
Ziegenhain, Christoph1, Autor
MacCarthy, Davis J.1, Autor
Alvarez, Adrian1, Autor
Batlle, Eduard1, Autor
Sagar, Sagar2, Autor
Grün, Dominic2, Autor           
Lau, Julia K.1, Autor
Boutet, Stéphane C.1, Autor
Sanada, Chad1, Autor
Ooi, Aik1, Autor
Jones, Robert C.1, Autor
Kaihara, Kelly1, Autor
Brampton, Chris1, Autor
Talaga, Yasha1, Autor
Sasagawa, Yohei1, Autor
Tanaka, Kaori1, Autor
Hayashi, Tetsutaro1, Autor
Nikaido, Itoshi1, AutorFischer, Cornelius1, AutorSauer, Sascha1, AutorTrefzer, Timo1, AutorConrad, Christian1, AutorAdiconis, Xian1, AutorNguyen, Lan T.1, AutorRegev, Aviv1, AutorLevin, Joshua Z.1, AutorParekh, Swati1, AutorJanjic, Aleksandar1, AutorWange, Lucas E.1, AutorBagnoli, Johannes W.1, AutorEnard, Wolfgang1, AutorGut, Marta1, AutorSandberg, Rickard1, AutorGut, Ivo1, AutorStegle, Oliver1, AutorHeyn, Holger1, Autor mehr..
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_2243642              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in-depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. We have generated benchmark datasets to systematically evaluate techniques in terms of their power to comprehensively describe cell types and states. We performed a multi-center study comparing 13 commonly used single-cell and single-nucleus RNA-seq protocols using a highly heterogeneous reference sample resource. Comparative and integrative analysis at cell type and state level revealed marked differences in protocol performance, highlighting a series of key features for cell atlas projects. These should be considered when defining guidelines and standards for international consortia, such as the Human Cell Atlas project.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2020-04-06
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41587-020-0469-4
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Nature Biotechnology
  Kurztitel : Nat. Biotechnol.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York : Gale Group Inc.
Seiten: - Band / Heft: 38 Artikelnummer: - Start- / Endseite: 747 - 755 Identifikator: ISSN: 1087-0156
CoNE: https://pure.mpg.de/cone/journals/resource/954926980065