Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification

Chemical cross-linking combined with mass spectrometry (XL-MS) can provide information on protein conformations and interactions in highly complex samples. Here the authors describe an improved XL-MS workflow to increase the depth and fidelity of cross-link identification using whole proteome databa...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fan Liu, Philip Lössl, Richard Scheltema, Rosa Viner, Albert J. R. Heck
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/795c6d6e96bb403090ddd88fdd2c3e71
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:795c6d6e96bb403090ddd88fdd2c3e71
record_format	dspace
spelling	oai:doaj.org-article:795c6d6e96bb403090ddd88fdd2c3e712021-12-02T14:42:38ZOptimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification10.1038/ncomms154732041-1723https://doaj.org/article/795c6d6e96bb403090ddd88fdd2c3e712017-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms15473https://doaj.org/toc/2041-1723Chemical cross-linking combined with mass spectrometry (XL-MS) can provide information on protein conformations and interactions in highly complex samples. Here the authors describe an improved XL-MS workflow to increase the depth and fidelity of cross-link identification using whole proteome databases.Fan LiuPhilip LösslRichard ScheltemaRosa VinerAlbert J. R. HeckNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Fan Liu Philip Lössl Richard Scheltema Rosa Viner Albert J. R. Heck Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
description	Chemical cross-linking combined with mass spectrometry (XL-MS) can provide information on protein conformations and interactions in highly complex samples. Here the authors describe an improved XL-MS workflow to increase the depth and fidelity of cross-link identification using whole proteome databases.
format	article
author	Fan Liu Philip Lössl Richard Scheltema Rosa Viner Albert J. R. Heck
author_facet	Fan Liu Philip Lössl Richard Scheltema Rosa Viner Albert J. R. Heck
author_sort	Fan Liu
title	Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
title_short	Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
title_full	Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
title_fullStr	Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
title_full_unstemmed	Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
title_sort	optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/795c6d6e96bb403090ddd88fdd2c3e71
work_keys_str_mv	AT fanliu optimizedfragmentationschemesanddataanalysisstrategiesforproteomewidecrosslinkidentification AT philiplossl optimizedfragmentationschemesanddataanalysisstrategiesforproteomewidecrosslinkidentification AT richardscheltema optimizedfragmentationschemesanddataanalysisstrategiesforproteomewidecrosslinkidentification AT rosaviner optimizedfragmentationschemesanddataanalysisstrategiesforproteomewidecrosslinkidentification AT albertjrheck optimizedfragmentationschemesanddataanalysisstrategiesforproteomewidecrosslinkidentification
_version_	1718389636888264704

Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification

Ejemplares similares