Methods in molecular biology
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Stem cells are envisaged to be integral components of multicellular systems engineered for therapeutic applications. The reprogramming of somatic cells to induced pluripotent stem cells (iPSCs) via recombinant expression of a limited number of transcription factors, which was first achieved by Yamanaka and colleagues in 2007, heralded a major breakthrough in the stem cell field. Since then, there has been rapid progress in the field of iPSC generation, including the identification of various small molecules that can enhance reprogramming efficiency and reduce the number of different transcription factors required for reprogramming. ⋯ The use of recombinant cell-penetrating peptides and direct transfection of synthetic mRNA encoding appropriate transcription factors have both been shown to successfully reprogram somatic cells to iPSCs. It has also been shown more recently that the direct transfection of certain miRNA species can reprogram somatic cells to pluripotency without the need for any of the transcription factors commonly utilized for iPSC generation. This chapter describes protocols for iPSC generation with these new techniques, which would obviate the use of recombinant DNA and viral vectors in cellular reprogramming, thus avoiding permanent genetic modification to the reprogrammed cells.
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Genome sequencing and systems biology are revolutionizing life sciences. Proteomics emerged as a fundamental technique of this novel research area as it is the basis for gene function analysis and modeling of dynamic protein networks. Here a complete proteomics platform suited for functional genomics and systems biology is presented. ⋯ Moreover, the presented platform can also be utilized to integrate metabolomics and transcriptomics data for the analysis of metabolite-protein-transcript correlations and time course analysis using COVAIN. Examples for the integration of MAPA and MASS WESTERN data, proteogenomic and metabolic modeling approaches for functional genomics, phosphoproteomics by integration of MOAC (metal-oxide affinity chromatography) with MAPA, and the integration of metabolomics, transcriptomics, proteomics, and physiological data using this platform are presented. All software and step-by-step tutorials for data processing and data mining can be downloaded from http://www.univie.ac.at/mosys/software.html.
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As the field of proteomics shifts from qualitative identification of protein "subfractions" to quantitative comparison of proteins from complex biological samples, it is apparent that the number of approaches for quantitation can be daunting for the result-oriented biologist. There have been many recent reviews on quantitative proteomic approaches, discussing the strengths and limitations of each. ⋯ Here we present a detailed bioinformatics workflow for one of the simplest, most pervasive quantitative approach-spectral counting. The informatics and statistical workflow detailed here includes newly available freeware, such as SePro and PatternLab which post-process data according to false discovery rate parameters, and statistically model the data to detect differences and trends.
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Experimental spinal cord injury (SCI) can maintain the continuity of the spinal cord, as in the contusion (e.g., weight-fall) or compression models, or not, when there is a partial or a complete transection. The majority of acute human SCI is not followed by complete transection, but there is a combination of contusion, compression, and possibly partial transection. ⋯ This lesion was established by our group and represents a simple, reliable, and inexpensive clip compression model with functional and morphological reproducibility. In this chapter we describe, step by step, the protocol of this experimental SCI.
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In this first, introductory chapter, it is intended to summarize from a methodological point of view the state of the art in plant proteomics, focusing on mass spectrometry-based strategies. Thus, this chapter is mainly directed at beginners or at those trying to get into the field, rather than at those with real experience or a long trajectory in plant proteomics research. The different alternative workflows, methods, techniques, and protocols from the experimental design to the data analysis will be briefly commented, with cross references to previous monographs and reviews, as well as to the rest of the book chapters. ⋯ Furthermore, and even more important, we should move to data validation through other -omics or classical biochemical strategies, in an attempt to get a deeper, real, and more accurate view and understanding of cell biology. In the modern Systems Biology concept, proteomics must be considered as a part of a global, multidisciplinary approach. Making biological sense of a proteomics experiment requires a proper experimental design, data validation, interpretation, and publication policy.