1 resultado para Smooth Pulse
em Instituto Gulbenkian de Ciência
Filtro por publicador
- Aberdeen University (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (2)
- Aston University Research Archive (136)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (26)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (112)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (88)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (9)
- CentAUR: Central Archive University of Reading - UK (29)
- Cochin University of Science & Technology (CUSAT), India (3)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (3)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (16)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Dalarna University College Electronic Archive (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (6)
- Digital Repository at Iowa State University (2)
- DigitalCommons - The University of Maine Research (2)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (4)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- eScholarship Repository - University of California (1)
- Glasgow Theses Service (1)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico de Viseu (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (4)
- Massachusetts Institute of Technology (1)
- National Center for Biotechnology Information - NCBI (37)
- Nottingham eTheses (3)
- Publishing Network for Geoscientific & Environmental Data (7)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (7)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (5)
- Repositório da Produção Científica e Intelectual da Unicamp (19)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (2)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (91)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (44)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (23)
- Universidade Complutense de Madrid (2)
- Universidade do Minho (2)
- Universidade Federal do Pará (3)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (76)
- Université de Montréal (4)
- Université de Montréal, Canada (11)
- University of Michigan (37)
- University of Queensland eSpace - Australia (104)
- University of Washington (1)
Resumo:
Assessment of protein dynamics in living cells is crucial for understanding their biological properties and functions. The SNAP-tag, a self labeling suicide enzyme, presents a tool with unique features that can be adopted for determining protein dynamics in living cells. Here we present detailed protocols for the use of SNAP in fluorescent pulse-chase and quench-chase-pulse experiments. These time-slicing methods provide powerful tools to assay and quantify the fate and turnover rate of proteins of different ages. We cover advantages and pitfalls of SNAP-tagging in fixed- and live-cell studies and evaluate the recently developed fast-acting SNAPf variant. In addition, to facilitate the analysis of protein turnover datasets, we present an automated algorithm for spot recognition and quantification.