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Title: Surfaceome interrogation using an RNA-seq approach highlights leukemia initiating cell biomarkers in an LMO2 T cell transgenic model
Author: Pais, Helio
Ruggero, Katia
Zhang, Jing
Al-Assar, Osama
Bery, Nicolas
Bhuller, Ravneet
Weston, Victoria
Kearns, Pamela R.
Mecucci, Cristina
Miller, Ami
Rabbitts, Terence H.
Keywords: Marcadors bioquímics
Biochemical markers
Issue Date: 8-Apr-2019
Publisher: Nature Publishing Group
Abstract: The surfaceome is critical because surface proteins provide a gateway for internal signals and transfer of molecules into cells, and surfaceome differences can influence therapy response. We have used a surfaceome analysis method, based on comparing RNA-seq data between normal and abnormal cells (Surfaceome DataBase Mining or Surfaceome DBM), to identify sets of upregulated cell surface protein mRNAs in an LMO2-mediated T-ALL mouse model and corroborated by protein detection using antibodies. In this model the leukemia initiating cells (LICs) comprise pre-leukaemic, differentiation inhibited thymocytes allowing us to provide a profile of the LIC surfaceome in which GPR56, CD53 and CD59a are co-expressed with CD25. Implementation of cell surface interaction assays demonstrates fluid interaction of surface proteins and CD25 is only internalized when co-localized with other proteins. The Surfaceome DBM approach to analyse cancer cell surfaceomes is a way to find targetable surface biomarkers for clinical conditions where RNA-seq data from normal and abnormal cell are available.
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It is part of: Scientific Reports, 2019-04-08, Vol. 9, num.5760
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Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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