Proteomic characterisation of pancreatic islet β-cells stimulated with pancreatic carcinoma cell conditioned medium

Song, Guanhua; Cui, Yazhou; Zhong, Ning; Han, Jinxiang

doi:10.1136/jcp.2009.065391

Cited by 5 publications

(4 citation statements)

References 23 publications

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“…Song et al analysed the effects on the proteome of pancreatic islet β cells with and without pancreatic cancer cell‐conditioned medium stimulation 50. In this study, it was observed that the pancreatic cancer cell‐line PANC‐1‐conditioned media decreased insulin secretion from rat islet β‐cell INS‐1.…”

Section: Diabetes Secretome Analysismentioning

confidence: 89%

Conditioned media from cell lines: A complementary model to clinical specimens for the discovery of disease‐specific biomarkers

2011

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In the strictest sense, the cell secretome (conditioned media) refers to the collection of proteins that contain a signal peptide and are processed via the endoplasmic reticulum and Golgi apparatus through the classical secretion pathway. More generally, the secretome also encompasses proteins shed from the cell surface and intracellular proteins released through non-classical secretion pathway or exosomes. These secreted proteins include numerous enzymes, growth factors, cytokines and hormones or other soluble mediators. They are fundamental in the processes of cell growth, differentiation, invasion and angiogenesis by regulating cell-to-cell and cell-to-extracellular matrix interactions. The main aim of this review is to provide a synopsis of findings from the analysis of the secretome taking diabetes, cancer and neurodegenerative diseases as examples. We will also discuss the preparation of conditioned media and on the main proteomic-based methodological approaches that have been developed for the study of secreted/shed proteins.

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Section: Diabetes Secretome Analysismentioning

confidence: 89%

Conditioned media from cell lines: A complementary model to clinical specimens for the discovery of disease‐specific biomarkers

2011

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“…A body of pure proteomic approaches is emerging that analyzes energy metabolism-relevant tissues across different conditions (pancreas, Chen et al, 2007a, b; Kim et al, 2008; muscle, Wang et al, 2010; Giebelstein et al, 2012; adipose tissue, Ahmed et al, 2010; Perez-Perez et al, 2012; pancreatic beta cells, Song et al, 2009; Maris et al, 2011; and mitochondria, Forner et al, 2006; Chen et al, 2012). These tissues were typically isolated from normal (control) and diabetic (case) human subjects, mouse strains or genetic mouse models.…”

Section: Omics Monitoring Of Human Studies On T2dm – Today and Tomorrowmentioning

confidence: 99%

Perspective: a systems approach to diabetes research

et al. 2013

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We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene–environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term “systems omics.”

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“…Moreover, they reported high level of fucosylated haptoglobin in the sera of PC patients. Also Song et al 61 used a similar approach to understand the mechanism by which the secreted proteins of Panc‐1 cells alter the function of rat pancreatic insulinoma‐1 β‐cells INS‐1. By using a DIGE approach, they found HSP60, peripherin, Prp19, HMOX1 and GRP78, as modulated proteins in insulinoma cells.…”

Section: Pc Cell Line Proteomicsmentioning

confidence: 99%

Proteomics in pancreatic cancer research

2011

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In this review, we give an overview of the actual role of proteomic technologies in the study of pancreatic cancers (PCs). We describe PC proteomics on the basis of sample origins, i.e. tissues, body fluids, and PC cell lines. As regards PC tissues, we report the identification of a number of candidate biomarkers of precursor lesions that may allow early diagnosis of this neoplasia. Moreover, we describe cytoskeletal and hypoxia-regulated proteins that confirm the involvement of cytoskeleton modifications and metabolism adaptations in carcinogenesis. We also discuss the most important biomarkers identified by proteomic analysis involved in local invasion and distant metastasis, and in the cross-talk between pancreatic tumor and the surrounding stroma. Furthermore, we report novel candidate biomarkers identified in serum, plasma, and pancreatic juice of cancer patients compared with cancer-free controls. Proteomic alterations in PC cell line models as compared to normal controls and studies on cell lines treated with drugs or new agents to understand their mechanism of pharmacological action or the onset of drug resistance are also presented. Finally, we discuss the recent improvements obtained in classical 2-DE and high-throughput proteomic strategies able to allow the overcoming of relevant proteomic drawbacks.

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Proteomic characterisation of pancreatic islet β-cells stimulated with pancreatic carcinoma cell conditioned medium

Abstract: These results provide new information regarding the regulation of protein expression in pancreatic cancer-associated diabetes.

Cited by 5 publications

References 23 publications

Conditioned media from cell lines: A complementary model to clinical specimens for the discovery of disease‐specific biomarkers

Conditioned media from cell lines: A complementary model to clinical specimens for the discovery of disease‐specific biomarkers

Perspective: a systems approach to diabetes research

Proteomics in pancreatic cancer research

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