Function Of Differential Proteins Research Articles

Protein Cross-Interactions for Efficient Photosynthesis in the Cassava Cultivar SC205 Relative to Its Wild Species.

The underlying mechanisms of the higher photosynthetic efficiency of cultivated cassava relative to its wild species are poorly understood. In the present study, proteins in leaves and chloroplasts were analyzed to compare the differences among the cultivar SC205, its wild ancestor W14, and the related species Glaziovii. The functions of differential proteins are associated with 10 ontology groups including photosynthesis, carbohydrate and energy metabolism, as well as potential signal pathway. The protein-protein networks among 41 differential proteins showed that PGK1 is a hub protein and protein cross-interactions affected the differentiation of photosynthetic rate. Anatomy patterns and PEPC detection suggested that SC205 has more C4 photosynthesis characteristics than Glaziovii and W14. Finally, a mechanism model of the efficient photosynthesis was proposed based on the remarkable variations in photosynthetic parameters and protein functions in the domestic cultivars.

Label-free quantitative mass spectrometry reveals a panel of differentially expressed proteins in colorectal cancer.

To identify potential biomarkers involved in CRC, a shotgun proteomic method was applied to identify soluble proteins in three CRCs and matched normal mucosal tissues using high-performance liquid chromatography and mass spectrometry. Label-free protein profiling of three CRCs and matched normal mucosal tissues were then conducted to quantify and compare proteins. Results showed that 67 of the 784 identified proteins were linked to CRC (28 upregulated and 39 downregulated). Gene Ontology and DAVID databases were searched to identify the location and function of differential proteins that were related to the biological processes of binding, cell structure, signal transduction, cell adhesion, and so on. Among the differentially expressed proteins, tropomyosin-3 (TPM3), endoplasmic reticulum resident protein 29 (ERp29), 18 kDa cationic antimicrobial protein (CAMP), and heat shock 70 kDa protein 8 (HSPA8) were verified to be upregulated in CRC tissue and seven cell lines through western blot analysis. Furthermore, the upregulation of TPM3, ERp29, CAMP, and HSPA8 was validated in 69 CRCs byimmunohistochemistry (IHC) analysis. Combination of TPM3, ERp29, CAMP, and HSPA8 can identify CRC from matched normal mucosal achieving an accuracy of 73.2% using IHC score. These results suggest that TPM3, ERp29, CAMP, and HSPA8 are great potential IHC diagnostic biomarkers for CRC.

The serumproteomics research of vinyl chloride workers

To screen out serum differential proteins between vinyl chloride monomer (VCM)-exposed workers and healthy controls by proteomics and analyze the functions of differential proteins, and to provide a basis for elucidating the pathogenesis of diseases caused by VCM exposure and searching for the protein biomarkers. Fasting venous blood was collected from 125 VCM-exposed workers and 40 healthy controls according to accumulated exposure doses. Proteins were precipitated by acetone precipitation. These proteins were identified by 2D-nano LC-ESI-TOF/MS and quantified by isobaric tags for relative and absolute quantitation. The functions of differential proteins were analyzed by gene ontology. A total of 596 proteins were identified, including 194 quantified proteins. There were 21 differential proteins according to the screening criteria (19 upregulated proteins and 2 downregulated proteins), including complement, apolipoprotein, and glycoprotein. The functions of these differential proteins were binding, enzyme regulator activity, catalytic activity, and transporter activity, and they were involved in the biological processes including immune system process and response to stimulus. The complement, apolipoprotein, and glycoprotein identified in the proteomics may be related to liver injury caused by VCM exposure, and they could be used as candidate protein biomarkers of diseases caused by VCM exposure.

Identification of the up-regulation of TP-alpha, collagen alpha-1(VI) chain, and S100A9 in esophageal squamous cell carcinoma by a proteomic method

Esophageal squamous cell carcinoma (ESCC) is one of the most common primary malignant tumor of digestive tract. However, the early diagnosis and molecular mechanisms that underlie tumor formation and progression have been progressed less. To identify new biomarkers for ESCC, we performed a comparative proteomic research. Isobaric tags for relative and absolute quantitation-based proteomic method was used to screen biomarkers between ESCC and normal. 802 non-redundant proteins were identified, 39 of which were differentially expressed with 1.5-fold difference (29 up-regulated and 10 down-regulated). Through Swiss-Prot and GO database, the location and function of differential proteins were analyzed, which are related to the biological processes of binding, cell structure, signal transduction, cell adhesion, etc. Among the differentially expressed proteins, TP-alpha, collagen alpha-1(VI) chain and S100A9 were verified to be upregulated in 77.19%, 75.44% and 59.65% of ESCC by immunohistochemistry and western-blot. Diagnostic value of these three proteins was validated. These results provide new insights into ESCC biology and potential diagnostic and therapeutic biomarkers, which suggest that TP-alpha, collagen alpha-1(VI) chain and S100A9 are potential biomarkers of ESCC, and may play an important role in tumorigenesis and development of ESCC.

Plasma membrane proteomic analysis of human osteosarcoma and osteoblastic cells: revealing NDRG1 as a marker for osteosarcoma

Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. To identify new biomarkers for early diagnosis of OS and novel therapeutic candidates, we carried out a plasma membrane proteomic study based on two-dimensional electrophoresis (2DE). The OS cell line MG-63 and the human osteoblastic cell line hFOB1.19 were adopted as the comparison model. We extracted plasma membrane by aqueous two-phase partition extraction. The proteins were separated through 2DE. We analyzed the differentially expressed proteins by Imagemaster software and then identified them by liquid chromatography-tandem mass spectrometry, and the location and function of differential proteins were searched through the Gene Ontology database. In total, 220 protein spots were separated by 2DE. Seven proteins with more than 2.0-folds of difference were successfully identified from 13 gel spots, with 6 up-regulated and 1 down-regulated. Gene Ontology analysis of the differentially expressed proteins indicated that these proteins were involved in seven kinds of functions including binding, structural, cell motility, receptor activity, electron carrier activity, NADH dehydrogenase (ubiquinone) activity, and transcription repressor activity. The up-regulation of NDRG1 was verified in osteosarcoma through Western blotting and by immunohistochemistry in paraffin-embedded tissues. The plasma membrane proteins identified in this study may provide new insights into osteosarcoma cancer biology and potential diagnostic and therapeutic biomarkers.

Comparative proteomic analysis of plasma membrane proteins between human osteosarcoma and normal osteoblastic cell lines

BackgroundOsteosarcoma (OS) is the most common primary malignant tumor of bone in children and adolescents. However, the knowledge in diagnostic modalities has progressed less. To identify new biomarkers for the early diagnosis of OS as well as for potential novel therapeutic candidates, we performed a sub-cellular comparative proteomic research.MethodsAn osteosarcoma cell line (MG-63) and human osteoblastic cells (hFOB1.19) were used as our comparative model. Plasma membrane (PM) was obtained by aqueous two-phase partition. Proteins were analyzed through iTRAQ-based quantitative differential LC/MS/MS. The location and function of differential proteins were analyzed through GO database. Protein-protein interaction was examined through String software. One of differentially expressed proteins was verified by immunohistochemistry.Results342 non-redundant proteins were identified, 68 of which were differentially expressed with 1.5-fold difference, with 25 up-regulated and 43 down-regulated. Among those differential proteins, 69% ware plasma membrane, which are related to the biological processes of binding, cell structure, signal transduction, cell adhesion, etc., and interaction with each other. One protein--CD151 located in net nodes was verified to be over-expressed in osteosarcoma tissue by immunohistochemistry.ConclusionIt is the first time to use plasma membrane proteomics for studying the OS membrane proteins according to our knowledge. We generated preliminary but comprehensive data about membrane protein of osteosarcoma. Among these, CD151 was further validated in patient samples, and this small molecule membrane might be a new target for OS research. The plasma membrane proteins identified in this study may provide new insight into osteosarcoma biology and potential diagnostic and therapeutic biomarkers.