scholarly journals Combination of laser microdissection, 2D-DIGE and MALDI-TOF MS to identify protein biomarkers to predict colorectal cancer spread

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Chandra Kirana ◽  
Lifeng Peng ◽  
Rose Miller ◽  
John P. Keating ◽  
Corinne Glenn ◽  
...  
Author(s):  
Rim Abdel Samad ◽  
Zulfa Al Disi ◽  
Mohammad Ashfaq ◽  
Nabil Zouari

Occurrence of mineral forming and other bacteria in mats is well demonstrated. However, their high diversity shown by ribotyping was not explained, although it could explain the diversity of formed minerals. Common biomarkers as well as phylogenic relationships are useful tools to clustering the isolates and predict their potential role in the natural niche. In this study, combination of MALDI-TOF MS with PCA was shown a powerful tool to categorize 35 mineral forming bacterial strains isolated from Dohat Fshaikh sabkha, at northwest of Qatar (23 from decaying mats and 12 from living ones). 23 strains from decaying mats belong to Virgibacillus genus as identified by ribotyping and are shown highly involved in formation of protodolomite and a diversity of minerals. They were used as internal references in categorization of sabkha bacteria. Combination of isolation of bacteria on selective mineral forming media, their MALDI TOF MS protein profiling and PCA analysis established their relationship in a phyloproteomic based on protein biomarkers including m/z 4905, 3265, 5240, 6430, 7765, and 9815. PCA analysis clustered the studied strains into 3 major clusters, showing strong correspondence to the 3 phyloproteiomic groups that were established by the dendrogram. Both clustering analysis means have evidently demonstrated a relationship between known Virgibacillus strains and other related bacteria based on profiling of their synthesized proteins. Thus, larger populations of bacteria in mats can be easily screened for their potential to exhibit certain activities, which is of ecological, environmental and biotechnological significance.


2018 ◽  
Vol 181 ◽  
pp. 225-237 ◽  
Author(s):  
Si Liu ◽  
Liming Cheng ◽  
Yang Fu ◽  
Bi-Feng Liu ◽  
Xin Liu

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Abeer A. Abdelati ◽  
Rehab A. Elnemr ◽  
Noha S. Kandil ◽  
Fatma I. Dwedar ◽  
Rasha A. Ghazala

Over the last decades, there has been an increasing need to discover new diagnostic RA biomarkers, other than the current serologic biomarkers, which can assist early diagnosis and response to treatment. The purpose of this study was to analyze the serum peptidomic profile in patients with rheumatoid arthritis (RA) by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The study included 35 patients with rheumatoid arthritis (RA), 35 patients with primary osteoarthritis (OA) as the disease control (DC), and 35 healthy controls (HC). All participants were subjected to serum peptidomic profile analysis using magnetic bead (MB) separation (MALDI-TOF-MS). The trial showed 113 peaks that discriminated RA from OA and 101 peaks that discriminated RA from HC. Moreover, 95 peaks were identified and discriminated OA from HC; 38 were significant (p<0.05) and 57 nonsignificant. The genetic algorithm (GA) model showed the best sensitivity and specificity in the three trials (RA versus HC, OA versus HC, and RA versus OA). The present data suggested that the peptidomic pattern is of value for differentiating individuals with RA from OA and healthy controls. We concluded that MALDI-TOF-MS combined with MB is an effective technique to identify novel serum protein biomarkers related to RA.


2015 ◽  
Vol 99 (13) ◽  
pp. 5547-5562 ◽  
Author(s):  
Dominik Ziegler ◽  
Joël F. Pothier ◽  
Julie Ardley ◽  
Romain Kouakou Fossou ◽  
Valentin Pflüger ◽  
...  

2016 ◽  
Vol 88 (19) ◽  
pp. 9597-9605 ◽  
Author(s):  
Christa M. Snyder ◽  
William R. Alley ◽  
Margit I. Campos ◽  
Martin Svoboda ◽  
John A. Goetz ◽  
...  

2011 ◽  
Vol 12 (3) ◽  
pp. 145-151 ◽  
Author(s):  
Xiaoxue Zhang ◽  
Zhaolin Yuan ◽  
Bo Shen ◽  
Min Zhu ◽  
Chibo Liu ◽  
...  

2012 ◽  
Vol 20 (20) ◽  
pp. 1900
Author(s):  
Xiu-Li Wang ◽  
Chun-Fang Gao ◽  
Nai-Jun Fan

The Analyst ◽  
2019 ◽  
Vol 144 (7) ◽  
pp. 2231-2238 ◽  
Author(s):  
Han-Gyu Park ◽  
Kyoung-Soon Jang ◽  
Hae-Min Park ◽  
Won-Suk Song ◽  
Yoon-Yi Jeong ◽  
...  

Serum is one of the most commonly used samples in many studies to identify protein biomarkers to diagnose cancer.


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