Proteomic Analysis of Serum in Lung Cancer Induced by 3‐Methylcholanthrene

Li, Minhua; Ye, Bo; Zhang, Yuxia; Chen, Honglei; Xia, Dong; Liu, Mingqiu; Yang, Fei

doi:10.1155/2009/397910

Cited by 8 publications

(5 citation statements)

References 54 publications

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“…Several lines of evidence suggested that increased blood Hp concentration reflects the disease stage of lung cancer []. Recent proteomic studies also reported an increased protein abundance of Hp in lung cancer []. In the current study, we found that HFD‐induced obesity greatly increased the protein levels of Hp in tumor‐bearing mice, which implies that impaired oxidative metabolism may occur in the lung of HFD‐fed mice.…”

Section: Discussionsupporting

confidence: 64%

Plasma marker proteins associated with the progression of lung cancer in obese mice fed a high‐fat diet

et al. 2012

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Recent studies have indicated that obesity increases the risk of developing several types of cancers including lung cancer, which is the leading cause of cancer death worldwide. In the present study, we attempted to discover marker proteins associated with lung cancer progression mediated by treatment of a high‐fat diet (HFD) using 2DE combined with MALDI‐TOF‐MS. Image analysis and further statistical analysis allowed for the detection and identification of 14 proteins, which consequently were classified into two groups based on their regulation patterns in response to diet and tumor. Interestingly, the protein abundances of ten proteins exhibited a synergistic effect when treated with HFD in tumor‐bearing mice (Group I). Proteins that had a higher abundance in the plasma of tumor‐bearing mice included FGB, Tf, Hpx, Cp, and Hp and the proteins that had a lower abundance included A1AT precursor, PON1, TTRt, and α2‐M. These proteins can be used as molecular markers that contribute simultaneously to both obesity and cancer. Four other proteins showed an increase (complement C3 and FGA) or decrease (Apo H and AT III precursor) in the only tumor‐bearing mice independently of diet (Group II). The marker proteins identified here may lead to the development of new therapeutics for obesity‐causative treatment of lung cancer.

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Section: Discussionsupporting

confidence: 64%

Plasma marker proteins associated with the progression of lung cancer in obese mice fed a high‐fat diet

et al. 2012

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“…This comparative approach is carried out to identify any proteins that may be upregulated or downregulated in a diseasespecific manner for eventual use as biomarkers of the abnormal state. Various cancer biomarkers are being tentatively identified using the proteome profiling approach, including lung, 6,7 ovarian, 8 prostate, 9 colorectal, 10 and liver cancers. 11 It is evident that proteomics is becoming an increasingly important tool for the identification of biomarkers and therapeutic targets for cancer and other diseases.…”

Section: Why Is the Study Of Proteomics Importantmentioning

confidence: 99%

A Digital Microfluidic Approach to Proteomic Sample Processing

2009

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Proteome profiling is the identification and quantitation of all proteins in biological samples. An important application of proteome profiling that has received much attention is clinical proteomics, a field that promises the discovery of biomarkers that will be useful for early diagnosis and prognosis of diseases. While clinical proteomic methods vary widely, a common characteristic is the need for (i) extraction of proteins from complex biological fluids and (ii) extensive biochemical processing (reduction, alkylation and enzymatic digestion) prior to analysis. However, the lack of standardized sample handling and processing in proteomics is a major limitation for the field. The conventional macroscale manual sample handling requires multiple containers and transfers, which often leads to sample loss and contamination. For clinical proteomics to be adopted as a gold standard for clinical measures, the issue of irreproducibility needs to be addressed. A potential solution to this problem is to form integrated systems for sample handling and processing, and in this dissertation, I describe my work towards realizing this goal using digital microfluidics (DMF). DMF is a technique characterized by the manipulation of discrete droplets (100 nL -10 L) on an array of electrodes by the application of electrical fields. It is well-suited for carrying out rapid, sequential, miniaturized automated biochemical assays. This thesis demonstrates how DMF can be a powerful tool capable of automating several protein handling and processing steps used in proteomics.iii Methods for implementing proteomic multi-step solution-phase processes (reduction, alkylation, and digestion) on DMF were developed. This was accompanied by the development of heterogenous enzymatic microreactors for efficient protein digestion. Strategies for reducing non-specific adsorption were developed. Finally, in proof-of-concept work, a combination of protein extraction and protein processing was demonstrated on DMF devices.iv ACKNOWLEDGEMENTS

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“…Proteomics have been used widely for the identification of serum biomarkers for different types of cancers, such as prostate cancer 19–21, colorectal cancer 22–24, brain tumor 25, 26, breast cancer 27–30, liver cancer 31–33, pancreatic cancer 34, 35, ovarian cancer 36, 37, lung cancer etc. 38 (Table 1).…”

Section: Serum Proteomics For Biomarker Discoverymentioning

confidence: 99%

Mutasynthesis‐Derived Myxalamids and Origin of the Isobutyryl‐CoA Starter Unit of Myxalamid B

et al. 2007

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Myxalamids are potent inhibitors of the eukaryotic electron transport chain produced by different myxobacteria. Here, we describe the identification of the myxalamid biosynthesis gene cluster from Myxococcus xanthus. Additionally, new myxalamids (5-13) have been obtained by mutasynthesis from bkd mutants of M. xanthus and Stigmatella aurantiaca. Moreover, as these bkd mutants are still able to produce myxalamid B (2), the origin of the isobutyryl-CoA (IB-CoA) starter unit required for its biosynthesis has been determined. In a M. xanthus bkd mutant, IB-CoA originates from valine, but in S. aurantiaca this starter unit is derived from alpha-oxidation of iso-odd fatty acids, thereby connecting primary and secondary metabolism.

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Proteomic Analysis of Serum in Lung Cancer Induced by 3‐Methylcholanthrene

Cited by 8 publications

References 54 publications

Plasma marker proteins associated with the progression of lung cancer in obese mice fed a high‐fat diet

Plasma marker proteins associated with the progression of lung cancer in obese mice fed a high‐fat diet

A Digital Microfluidic Approach to Proteomic Sample Processing

Mutasynthesis‐Derived Myxalamids and Origin of the Isobutyryl‐CoA Starter Unit of Myxalamid B

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