Dynamic proteomics: A database for dynamics and localizations of endogenous fluorescently-tagged proteins in living human cells

Milana Frenkel-Morgenstern, Ariel A. Cohen, Naama Geva-Zatorsky, Eran Eden, Jaime Prilusky, Irina Issaeva, Alex Sigal, Cellina Cohen-Saidon, Yuvalal Liron, Lydia Cohen, Tamar Danon, Natalie Perzov, Uri Alon

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Recent advances allow tracking the levels and locations of a thousand proteins in individual living human cells over time using a library of annotated reporter cell clones (LARC). This library was created by Cohen et al. to study the proteome dynamics of a human lung carcinoma cell-line treated with an anti-cancer drug. Here, we report the Dynamic Proteomics database for the proteins studied by Cohen et al. Each cell-line clone in LARC has a protein tagged with yellow fluorescent protein, expressed from its endogenous chromosomal location, under its natural regulation. The Dynamic Proteomics interface facilitates searches for genes of interest, downloads of protein fluorescent movies and alignments of dynamics following drug addition. Each protein in the database is displayed with its annotation, cDNA sequence, fluorescent images and movies obtained by the time-lapse microscopy. The protein dynamics in the database represents a quantitative trace of the protein fluorescence levels in nucleus and cytoplasm produced by image analysis of movies over time. Furthermore, a sequence analysis provides a search and comparison of up to 50 input DNA sequences with all cDNAs in the library. The raw movies may be useful as a benchmark for developing image analysis tools for individual-cell dynamic-proteomics. The database is available at http://www.dynamicproteomics.net/.

Original languageEnglish
Article numbergkp808
Pages (from-to)D508-D512
JournalNucleic Acids Research
Volume38
Issue numberSUPPL.1
DOIs
StatePublished - Jan 2010
Externally publishedYes

Fingerprint

Dive into the research topics of 'Dynamic proteomics: A database for dynamics and localizations of endogenous fluorescently-tagged proteins in living human cells'. Together they form a unique fingerprint.

Cite this