摘要
For many years, HUVEC.com1 public database provides biological data relative to the proteome of human umbilical vein endothelial cells (HU-VECs), which are the most used human endothelial cell model in vascular biology. The proteins were identified using two-dimensional gel electrophoresis (2-DGE) for protein separation coupled with Matrix Assisted Laser Desorption-Ionization Mass Spectrometry (MALDI-TOF-MS) for identification. We present here an important update of HUVEC.com with 521 protein identifications as determined using Fourier transformed ion cyclotron resonance-mass spectrometry (FTICR-MS) applied to an unstained 2-DGE gel cut in 221 squared pieces;each identified protein being accompanied by a semi-quantitative three dimensional visualization is called “score imaging”. The squared analyzed gel and the alphabetical list of identified proteins, linked with their corresponding three-dimensional score imaging, are available at www.huvec.com. This original approach led to the establishment of the most protein-rich and informative database for HUVECs, as well as to the identification of some protein species, in particular with phosphorylation.
For many years, HUVEC.com1 public database provides biological data relative to the proteome of human umbilical vein endothelial cells (HU-VECs), which are the most used human endothelial cell model in vascular biology. The proteins were identified using two-dimensional gel electrophoresis (2-DGE) for protein separation coupled with Matrix Assisted Laser Desorption-Ionization Mass Spectrometry (MALDI-TOF-MS) for identification. We present here an important update of HUVEC.com with 521 protein identifications as determined using Fourier transformed ion cyclotron resonance-mass spectrometry (FTICR-MS) applied to an unstained 2-DGE gel cut in 221 squared pieces;each identified protein being accompanied by a semi-quantitative three dimensional visualization is called “score imaging”. The squared analyzed gel and the alphabetical list of identified proteins, linked with their corresponding three-dimensional score imaging, are available at www.huvec.com. This original approach led to the establishment of the most protein-rich and informative database for HUVECs, as well as to the identification of some protein species, in particular with phosphorylation.
基金
Financial support from the TGE FT-ICR for conducting the research is gratefully acknowledged.
