Napredna pretraga

Pregled bibliografske jedinice broj: 921348

Surface proteome biotinylation combined with bioinformatic tools as a strategy for predicting pathogen interacting proteins


Horvatić, Anita; Kuleš, Josipa; Guillemin, Nicolas; Martinković, Franjo; Štimac, Iva; Mrljak, Vladimir; Bhide, Mangesh
Surface proteome biotinylation combined with bioinformatic tools as a strategy for predicting pathogen interacting proteins // Methods in Molecular Biology: Host-pathogen interactions, Methods and protocols / Medina, Carlos ; López-Baena, Francisco Javier (ur.).
New York: Springer, Humana Press, 2018. str. 83-96 doi:10.1007/978-1-4939-7604-1_9


Naslov
Surface proteome biotinylation combined with bioinformatic tools as a strategy for predicting pathogen interacting proteins

Autori
Horvatić, Anita ; Kuleš, Josipa ; Guillemin, Nicolas ; Martinković, Franjo ; Štimac, Iva ; Mrljak, Vladimir ; Bhide, Mangesh

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Methods in Molecular Biology: Host-pathogen interactions, Methods and protocols

Urednik/ci
Medina, Carlos ; López-Baena, Francisco Javier

Izdavač
Springer, Humana Press

Grad
New York

Godina
2018

Raspon stranica
83-96

ISBN
978-1-4939-7603-4

Ključne riječi
Bioinformatics ; Biotinylation ; CELLO ; DAVID ; Interacting proteins ; LC-MS ; Subcellular localization ; Surface proteome

Sažetak
Constant advancements in methodology and mass spectrometry instrumentation, genome sequencing and bioinformatic tools have enabled the identification of numerous pathogen proteomes. Identifying the pathogen interacting proteins by means of high-throughput techniques is key for understanding pathogen invasion and survival mechanisms and in such a way proposing specific proteins as pharmaceutical targets. Herein we describe the methodology for the enrichment and identification of pathogen surface proteome using cell surface protein biotinylation followed by LC-MS/MS and bioinformatic analyses of such data. This strategy is to be employed for the determination of protein subcellular localization and prediction of potential pathogen interacting proteins.

Izvorni jezik
Hrvatski

Znanstvena područja
Kemija, Biologija, Veterinarska medicina



POVEZANOST RADA


Citati