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Peng Zhang Long Huang Yan‐lei Ma Jia‐yuan Peng Tong‐yi Shen Hong‐qi Chen Yu‐kun Zhou Ming Zhang Zhao‐xin Chu Huan‐long Qin 《Electrophoresis》2010,31(10):1731-1738
5‐Fluorouracil has been the chemotherapy agent of first‐choice for colorectal cancer for many years, but since there are no proven predictors of a patient's response to therapy, all patients receive similar treatment. Consequently, identification of biomarkers for therapeutic effect is crucial for the development of novel therapeutic strategies. Two human colorectal cancer cell lines of different metastatic potential (LoVo and SW480) were studied. IC50 of 5‐FU for both cell lines were measured by 3‐(4,5‐dimethy‐lthiazol‐2‐yl)‐2,5‐diphenyltetrazolium assay and validated by cell cycle analysis. Then the cell lines were treated with 5‐FU at IC50 concentration and protein was extracted for 2‐DE. Differential protein spots were examined by MALDI‐TOF/TOF MS. The expression levels of the different proteins were further confirmed by Western blot and immunofluorescence analyses. Eleven proteins were identified. Expression of heterogeneous nuclear ribonucleoprotein K (hnRNP K) in LoVo cells was higher than in SW480 cells, while protein disulfide isomerase (PDI) displayed the opposite trend. After treatment with 5‐FU, the expression of hnRNP K in LoVo decreased more significantly than in SW480, while PDI in SW480 increased more significantly than in LoVo cells. Conclusion: hnRNP K and PDI in the two cell lines have different expression characteristics. The sensitivity to 5‐FU is not consistent in tumor progression. It may assist in development of novel treatment strategies for colorectal cancer metastasis. 相似文献
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Francisco J. Prado‐Prado Florencio M. Ubeira Fernanda Borges Humberto González‐Díaz 《Journal of computational chemistry》2010,31(1):164-173
In the previous work, we reported a multitarget Quantitative Structure‐Activity Relationship (mt‐QSAR) model to predict drug activity against different fungal species. This mt‐QSAR allowed us to construct a drug–drug multispecies Complex Network (msCN) to investigate drug–drug similarity (González‐Díaz and Prado‐Prado, J Comput Chem 2008, 29, 656). However, important methodological points remained unclear, such as follows: (1) the accuracy of the methods when applied to other problems; (2) the effect of the distance type used to construct the msCN; (3) how to perform the inverse procedure to study species–species similarity with multidrug resistance CNs (mdrCN); and (4) the implications and necessary steps to perform a substructural Triadic Census Analysis (TCA) of the msCN. To continue the present series with other important problem, we developed here a mt‐QSAR model for more than 700 drugs tested in the literature against different parasites (predicting antiparasitic drugs). The data were processed by Linear Discriminate Analysis (LDA) and the model classifies correctly 93.62% (1160 out of 1239 cases) in training. The model validation was carried out by means of external predicting series; the model classified 573 out of 607, that is, 94.4% of cases. Next, we carried out the first comparative study of the topology of six different drug–drug msCNs based on six different distances such as Euclidean, Chebychev, Manhattan, etc. Furthermore, we compared the selected drug–drug msCN and species–species mdsCN with random networks. We also introduced here the inverse methodology to construct species–species msCN based on a mt‐QSAR model. Last, we reported the first substructural analysis of drug–drug msCN using Triadic Census Analysis (TCA) algorithm. © 2009 Wiley Periodicals, Inc. J Comput Chem 2010 相似文献
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Wolfgang Scherer Prof. Dr. Christoph Hauf Dipl.‐Phys. Manuel Presnitz Dipl.‐Phys. Ernst‐Wilhelm Scheidt Dr. Georg Eickerling Dr. Volker Eyert Dr. Rolf‐Dieter Hoffmann Dr. Ute C. Rodewald Dipl.‐Ing. Adrienne Hammerschmidt Dr. Christian Vogt Dr. Rainer Pöttgen Prof. Dr. 《Angewandte Chemie (International ed. in English)》2010,49(9):1578-1582
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Hay‐Yan J. Wang Cheng Bin Liu Hsuan‐Wen Wu Jr Shin Kuo 《Rapid communications in mass spectrometry : RCM》2010,24(14):2057-2064
Stroke, a deleterious cerebrovascular event, is caused by a critical reduction in the blood flow to the brain parenchyma that leads to brain injury and loss of brain functions. The inflammatory responses following ischemia often aggravate the neurological damage. Several pro‐inflammatory mediators released after stroke are closely related to the metabolism of phospholipids. In this study we directly profiled the changes in phospholipids in the infarcted rat cerebral cortex 24 hours after middle cerebral artery occlusion (MCAO) using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). Several phosphatidylcholine (PC) species and sphingomyelin (SM) were significantly decreased after infarction. The cationization pattern of the remaining PCs showed a prominent shift from a mostly potassiated or protonated form to a predominantly sodiated pattern. Stroke also elevated the lysophosphatidylcholines (LPCs) and heme in tissue. The isobaric pairs in PC and LPC classes were resolved by masses through their respective alkali metal adducts in the presence of CsCl. The major fatty acyl LPC species were also structurally confirmed by MALDI‐MS/MS. Overall, the results described the changes in PC and LPC species in the infarcted rat cortex. The elevated tissue levels of LPCs and heme signify the ongoing pathological lipid breakdown and the state of parenchymal inflammation. The elevated LPC level in tissue suggests a means of intervention through lysophospholipid metabolism that could potentially benefit the management of stroke and other acute neurological injuries. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献