IJLST 2017 Volume 10 Issue 1

International Journal of Life Sciences and Technology (IJLST) ISSN: 0974-5335

An Open Access Journal -- NO Fees -- NO Processing Charges -- 100% Non Profit Initiatives


Mining disease information in low-molecular-weight serum proteins based on nanoporous silicon micro-flake and mass spectrometry. Farid Abu Shammala. IJLST (2017), 10(1):1-13



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Title:
Mining disease information in low-molecular-weight serum proteins based on nanoporous silicon micro-flake and mass spectrometry


Authors & Affiliation:
Farid Abu Shammala
Adjunct professor of Analytical Chemistry, Department of Pharmacology, University of Palestine, Gaza, PALESTINE
drfaridshammala@hotmail.com


Abstract:
Here, we developed and characterized a sol gel-derived mesoporous silica thin films, with tunable features at the nanoscale, they were fabricated using the triblock copolymer template pathway. With the use of different polymer templates and polymer concentrations in the precursor solution, various pore size distributions, pore structures, connectivity and surface properties were determined and applied for selective recovery of low mass proteins. The selective parsing of the enriched peptides into different subclasses according to their physicochemical properties will enhance the efficiency of recovery and detection of low abundance species. These films are structurally characterised by electron microscope (EM) and X-ray dispersion (XRD) . It has been found that with tunable pore dimension, pore texture, and surface properties, the mesoporous films are the perfect tools for proteomics preconcentration. The use of triblock copolymer template pathway allows large proteins not enter the pore size of the mesoporous films and to be washed out of serum samples. Allowing various LMW proteins to inter and trapped inside various pore size and pore structure distributions. We also predicted that acetonitrile (CAN) would cause many smaller proteins to dissociate from their carrier molecules, mainly albumin. The eluted LMW proteins samples with ACN were analyzed using matrix- assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The results shown to be a significant potential for the discovery of proteomic biomarkers for cancer. By utilizing this method, we identified 559 (n = 2) proteins belonged to LMW proteins. Furthermore, this mesoporous films are perfect tools for proteomics preconcentration and analysis, could identify 67.4% and 39.8% more LMW proteins than that in representative methods of glycine SDS-PAGE and optimized-DS, respectively. These results demonstrate that the mesoporous silicas method offers a rapid, highly reproducible and efficient approach for screening biomarkers from serum through proteomic analyses.


Keywords: MALDI-TOF MS, mesoporous silica, proteomics, low molecular weight, proteome.




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Prof. Dr. Prabhu Britto Albert,
Jan 8, 2017, 12:37 AM
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Prof. Dr. Prabhu Britto Albert,
Jan 8, 2017, 12:36 AM