Expanding the proteome two‐dimensional gel electrophoresis reference map of human renal cortex by peptide mass fingerprinting

Magni, Fulvio; Sarto, Cecilia; Valsecchi, Cristina; Casellato, Stefano; Bogetto, Stefano Ferrero; Bòsari, Silvano; Fonzo, Andrea Di; Perego, R; Corizzato, Matteo; Doro, Giancarlo; Galbusera, Carmen; Rocco, Francesco; Mocarelli, Paolo; Kienle, Marzia Galli

doi:10.1002/pmic.200401077

Cited by 29 publications

(17 citation statements)

References 23 publications

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“…The protein spot corresponding to the most intense signal evidenced by anti-AnxA3 antibody on 2-DE Western blot was excised from the 2-DE gel, and MALDI-TOF analysis was performed as previously described. 17 …”

Section: One-and Two-dimensional Electrophoresis and Western Blottingmentioning

confidence: 99%

Primary Cell Cultures from Human Renal Cortex and Renal-Cell Carcinoma Evidence a Differential Expression of Two Spliced Isoforms of Annexin A3

Bianchi

Bombelli

Raimondo

et al. 2010

The American Journal of Pathology

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Section: One-and Two-dimensional Electrophoresis and Western Blottingmentioning

confidence: 99%

Primary Cell Cultures from Human Renal Cortex and Renal-Cell Carcinoma Evidence a Differential Expression of Two Spliced Isoforms of Annexin A3

Bianchi

Bombelli

Raimondo

et al. 2010

The American Journal of Pathology

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“…Proteomics may also help to identify new uremic toxins in renal failure patients. Proteomic analysis has been performed to profile normal human and rat renal cortices, 46 human renal glomerulus, 47,48 urine, 49,50 and urinary exosomes. 51 Many of these studies have tried to identify a single biomarker for kidney disease.…”

Section: Experimental Approachesmentioning

confidence: 99%

Systems biology of kidney diseases

Chuang

Ma’ayan

et al. 2012

Kidney International

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Kidney diseases manifest in progressive loss of renal function, which ultimately leads to complete kidney failure. The mechanisms underlying the origins and progression of kidney diseases are not fully understood. Multiple factors involved in the pathogenesis of kidney diseases have made the traditional candidate gene approach of limited value toward full understanding of the molecular mechanisms of these diseases. A systems biology approach that integrates computational modeling with large-scale data gathering of the molecular changes could be useful in identifying the multiple interacting genes and their products that drive kidney diseases. Advances in biotechnology now make it possible to gather large data sets to characterize the role of the genome, epigenome, transcriptome, proteome, and metabolome in kidney diseases. When combined with computational analyses, these experimental approaches will provide a comprehensive understanding of the underlying biological processes. Multiscale analysis that connects the molecular interactions and cell biology of different kidney cells to renal physiology and pathology can be utilized to identify modules of biological and clinical importance that are perturbed in disease processes. This integration of experimental approaches and computational modeling is expected to generate new knowledge that can help to identify marker sets to guide the diagnosis, monitor disease progression, and identify new therapeutic targets.

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“…As detailed above, numerous proteomic studies have used 2D-GE and LC-MS/MS approaches to characterize the renal proteome, including proteomes of renal cortex [42,43], glomerular cells [44], and tubular epithelial cells [45,46]. In addition, proteomic methodologies increasingly have focused on the identification and quantification of proteins found in urine [47-51], primarily to identify potential biomarkers of renal disease [52].…”

Section: Defining the Renal Proteome In Normal And Diabetic Statesmentioning

confidence: 99%

Proteomics and Systems Biology for Understanding Diabetic Nephropathy

Starkey

Tilton

2012

J. of Cardiovasc. Trans. Res.

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Like many diseases, diabetic nephropathy is defined in a histopathological context and studied using reductionist approaches that attempt to ameliorate structural changes. Novel technologies in mass spectrometry-based proteomics have the ability to provide a deeper understanding of the disease beyond classical histopathology, redefine the characteristics of the disease state, and identify novel approaches to reduce renal failure. The goal is to translate these new definitions into improved patient outcomes through diagnostic, prognostic and therapeutic tools. Here, we review progress made in studying the proteomics of diabetic nephropathy and provide an introduction to the informatics tools used in the analysis of systems biology data, while pointing out statistical issues for consideration. Novel bioinformatics methods may increase biomarker identification, and other tools, including selective reaction monitoring, may hasten clinical validation.

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Expanding the proteome two‐dimensional gel electrophoresis reference map of human renal cortex by peptide mass fingerprinting

Cited by 29 publications

References 23 publications

Primary Cell Cultures from Human Renal Cortex and Renal-Cell Carcinoma Evidence a Differential Expression of Two Spliced Isoforms of Annexin A3

Primary Cell Cultures from Human Renal Cortex and Renal-Cell Carcinoma Evidence a Differential Expression of Two Spliced Isoforms of Annexin A3

Systems biology of kidney diseases

Proteomics and Systems Biology for Understanding Diabetic Nephropathy

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