Protein microarrays: high-throughput tools for proteomics

Stoevesandt, Oda; Taussig, Michael J.; He, Mingyue

doi:10.1586/epr.09.2

Cited by 131 publications

(78 citation statements)

References 122 publications

(99 reference statements)

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“…Protein Microarrays: Protein microarrays are powerful tools to capture and measure proteins from biospecimen (Stoevesandt et al, 2009). A protein microarray typically consists of a small piece of plastic or glass coated with thousands of capture reagents (molecules that can grab specific proteins) (Chandra et al, 2011).…”

Section: Necessary Equipment and Technologies For Cancer Proteomics Amentioning

confidence: 99%

Implementation of Proteomics for Cancer Research: Past, Present, and Future

Karimi

Shahrokni²,

Ranjbar³

2014

Asian Pacific Journal of Cancer Prevention

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Cancer is the leading cause of the death, accounts for about 13% of all annual deaths worldwide. Many different fields of science are collaborating together studying cancer to improve our knowledge of this lethal disease, and find better solutions for diagnosis and treatment. Proteomics is one of the most recent and rapidly growing areas in molecular biology that helps understanding cancer from an omics data analysis point of view. The human proteome project was officially initiated in 2008. Proteomics enables the scientists to interrogate a variety of biospecimens for their protein contents and measure the concentrations of these proteins. Current necessary equipment and technologies for cancer proteomics are mass spectrometry, protein microarrays, nanotechnology and bioinformatics. In this paper, we provide a brief review on proteomics and its application in cancer research. After a brief introduction including its definition, we summarize the history of major previous work conducted by researchers, followed by an overview on the role of proteomics in cancer studies. We also provide a list of different utilities in cancer proteomics and investigate their advantages and shortcomings from theoretical and practical angles. Finally, we explore some of the main challenges and conclude the paper with future directions in this field.

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Section: Necessary Equipment and Technologies For Cancer Proteomics Amentioning

confidence: 99%

Implementation of Proteomics for Cancer Research: Past, Present, and Future

Karimi

Shahrokni²,

Ranjbar³

2014

Asian Pacific Journal of Cancer Prevention

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“…Reverse-phase arrays are particularly useful for studying the changes in the expression of specific proteins and protein modifications during disease progression [24].…”

Section: Validation Stage Clinical Implementationmentioning

confidence: 99%

Proteomics in Transplantation

Kienzl-Wagner

Brandacher

2014

Advances in Clinical Chemistry

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“…New chemical methods such as isotopecoded affinity tag (ICAT), stable isotope labeling with amino acids in cell culture (SILAC), and isobaric tag for relative and absolute quantification (iTRAQ) can further enhance the sensitivity [6]. We can also generate a global view of stem cell proteome dynamics using protein microarrays, a highthroughput technique for obtaining protein abundance and functional data [6,88]. The analysis of the dynamics of protein expression during stem cells self-renewal and differentiation can provide important clues regarding progression of the stem cell differentiation processes [89].…”

Section: Proteome and Phosphoproteome Data Analysismentioning

confidence: 99%

Transcriptomics and proteomics in stem cell research

2014

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Stem cells are capable of self-renewal and differentiation, and the processes regulating these events are among the most comprehensively investigated topics in life sciences. In particular, the molecular mechanisms of the self-renewal, proliferation, and differentiation of stem cells have been extensively examined. Multi-omics integrative analysis, such as transcriptomics combined with proteomics, is one of the most promising approaches to the systemic investigation of stem cell biology. We reviewed the available information on stem cells by examining published results using transcriptomic and proteomic characterization of the different stem cell processes. Comprehensive understanding of these important processes can only be achieved using a systemic methodology, and employing such method will strengthen the study on stem cell biology and promote the clinical applications of stem cells.

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Protein microarrays: high-throughput tools for proteomics

Cited by 131 publications

References 122 publications

Implementation of Proteomics for Cancer Research: Past, Present, and Future

Implementation of Proteomics for Cancer Research: Past, Present, and Future

Proteomics in Transplantation

Transcriptomics and proteomics in stem cell research

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