Title: In silico functional networks identified in fish
nucleated red blood cells by means of
transcriptomic and proteomic profiling |
Authors: Puente Marín, Sara Nombela Díaz, Iván Ciordia, Sergio Mena, María Carmen Chico, Verónica Coll Morales, Julio Ortega-Villaizan Romo, María del Mar |
Issue Date: 2018-03-29 |
URI: http://hdl.handle.net/11000/7002 |
Abstract:
Nucleated red blood cells (RBCs) of fish have, in the last decade, been implicated in
several immune-related functions, such as antiviral response, phagocytosis or cytokine-mediated
signaling. RNA-sequencing (RNA-seq) and label-free shotgun proteomic analyses were carried out
for in silico functional pathway profiling of rainbow trout RBCs. For RNA-seq, a de novo assembly
was conducted, in order to create a transcriptome database for RBCs. For proteome profiling,
we developed a proteomic method that combined: (a) fractionation into cytosolic and membrane
fractions, (b) hemoglobin removal of the cytosolic fraction, (c) protein digestion, and (d) a novel
step with pH reversed-phase peptide fractionation and final Liquid Chromatography Electrospray
Ionization Tandem Mass Spectrometric (LC ESI-MS/MS) analysis of each fraction. Combined
transcriptome- and proteome- sequencing data identified, in silico, novel and striking immune
functional networks for rainbow trout nucleated RBCs, which are mainly linked to innate and
adaptive immunity. Functional pathways related to regulation of hematopoietic cell differentiation,
antigen presentation via major histocompatibility complex class II (MHCII), leukocyte differentiation
and regulation of leukocyte activation were identified. These preliminary findings further implicate
nucleated RBCs in immune function, such as antigen presentation and leukocyte activation
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Keywords/Subjects: rainbow trout red blood cells RNA-seq de novo assembly transcriptome peptide fractionation LC ESI-MSMS proteome functional network immune response |
Knowledge area: Bioquímica. Biología molecular. Biofísica |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess |
DOI: https://doi.org/10.3390/genes9040202 |
Appears in Collections: Instituto de Biología Molecular y Celular
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