Luis Valledor

Back to the basics: Maximizing the information obtained by quantitative two dimensional gel electrophoresis analyses by an appropriate experimental design and statistical analyses

Two dimensional gel electrophoresis has been one of the techniques most used for protein separation in proteomics experiments and still continues to be so for some species such as plants. Despite the constant technical advances and continuous improvements in the field of 2-DE, the experimental design and analysis of protein abundance data continue to be ignored or not properly documented in the literature. An appropriate experimental design, followed by decisive statistical methods is mandatory to extract all the information that is concealed in the complexity of 2-DE data. In this work we review, in a biologists language, all the experimental design and statistical tests to be considered while planning a 2-DE based proteomics experiment and for the correct analysis and interpretation of the data. We aim to provide the researcher with an up to date introduction to these areas, starting with the experimental design and ending with the application of multivariate statistical methodologies such as PCA, ICA or neural network-based self-organizing maps. In between we have described, in an understandable way, the current methodologies available to deal with all the stages of the experimental design, data processing and analysis.

Involvement of DNA methylation in tree development and micropropagation

Genes constitute only a small portion of the total genome and precisely controlling their expression represents a substantial problem for their regulation. Furthermore, non-coding DNA, that contains introns repetitive elements and active transposable elements, demands effective mechanisms to silence it long-term. Cell differentiation and development are controlled through temporal and spatial activation and silencing of specific genes. These patterns of gene expression must remain stable for many cell generations and last or change when inductive developmental signals have disappeared or new ones induce new programmes.What turns genes on and off? Among others, gene regulation is controlled by epigenetic mechanisms, defined as any gene-regulating activity that does not also involve changes in the DNA code and is capable of persisting. It has become apparent that epigenetic control of transcription is mediated through specific states of the chromatin structure. Associations of specific chromosomal proteins, posttranslational histone modifications and DNA methylation are some of the epigenetic mechanisms that are involved in controlling chromatin states. DNA methylation research can be approached from several standpoints, since there is a wide range of techniques available to study the occurrence and localisation of methyldeoxycytosine in the genome. Several studies dealing with DNA methylation in relation to tree development, microproprogation and somaclonal variation will be presented, with the final aim of demonstrating that DNA methylation levels are hallmarks for growing seasonal periods and are related to open windows of competence in plants.

Proteomics research on forest trees, the most recalcitrant and orphan plant species

The contribution of proteomics to the knowledge of forest tree (the most recalcitrant and almost forgotten plant species) biology is being reviewed and discussed, based on the authors own research work and papers published up to November 2010. This review is organized in four introductory sections starting with the definition of forest trees (1), the description of the environmental and economic importance (2) and its derived current priorities and research lines for breeding and conservation (3) including forest tree genomics (4). These precede the main body of this review: a general overview to proteomics (5) for introducing the forest tree proteomics section (6). Proteomics, defined as scientific discipline or experimental approach, it will be discussed both from a conceptual and methodological point of view, commenting on realities, challenges and limitations. Proteomics research in woody plants is limited to a reduced number of genera, including Pinus, Picea, Populus, Eucalyptus, and Fagus, mainly using first-generation approaches, e.g., those based on two-dimensional electrophoresis coupled to mass spectrometry. This area joins the own limitations of the technique and the difficulty and recalcitrance of the plant species as an experimental system. Furthermore, it contributes to a deeper knowledge of some biological processes, namely growth, development, organogenesis, and responses to stresses, as it is also used in the characterization and cataloguing of natural populations and biodiversity (proteotyping) and in assisting breeding programmes.

Acetylated H4 histone and genomic DNA methylation patterns during bud set and bud burst in Castanea sativa.

The relationships between genomic DNA cytosine methylation, histone H4 acetylation and bud dormancy in Castanea sativa are described. Acetylated H4 histone and genomic DNA methylation patterns showed opposite abundance patterns during bud set and bud burst. Increased and decreased methylation levels in the apical buds coincided with bud set and bud burst, respectively. Intermediate axillary buds were characterized by constant levels of DNA methylation during burst of apical buds and reduced fluctuation in DNA methylation throughout the year, which coincided with the absence of macro-morphological changes. Furthermore, acetylated histone H4 (AcH4) levels from apical buds were higher during bud burst than during bud set, as was demonstrated by immunodetection. Results were validated with three additional C. sativa provenances. Thus, global DNA methylation and AcH4 levels showed opposite patterns and coincided with changes in bud dormancy in C. sativa.

Fourteen years of plant proteomics reflected in Proteomics: Moving from model species and 2DE-based approaches to orphan species and gel-free platforms

In this article, the topic of plant proteomics is reviewed based on related papers published in the journal Proteomics since publication of the first issue in 2001. In total, around 300 original papers and 41 reviews published in Proteomics between 2000 and 2014 have been surveyed. Our main objective for this review is to help bridge the gap between plant biologists and proteomics technologists, two often very separate groups. Over the past years a number of reviews on plant proteomics have been published . To avoid repetition we have focused on more recent literature published after 2010, and have chosen to rather make continuous reference to older publications. The use of the latest proteomics techniques and their integration with other approaches in the “systems biology” direction are discussed more in detail. Finally we comment on the recent history, state of the art, and future directions of plant proteomics, using publications in Proteomics to illustrate the progress in the field. The review is organized into two major blocks, the first devoted to provide an overview of experimental systems (plants, plant organs, biological processes) and the second one to the methodology.

Proteomic analysis of the development and germination of date palm (Phoenix dactylifera L.) zygotic embryos.

By using a comparative proteomic approach (2‐DE coupled to MS/MS), the development, maturation, and germination of date palm zygotic embryos, have been studied. Proteins were trichloroacetic acid (TCA)–acetone–phenol extracted and resolved by 2‐DE in the 5–8 pH range. The total protein content and the number of spots resolved increased from early (12 weeks after pollination (WAP); 68.96 mg/g DW: 207 spots) to late (17 WAP; 240.85 mg/g DW: 261 spots) stages, decreasing upon germination (from 120.8 mg/g DW: 273 spots in mature embryos to 26.35 mg/g DW: 87 spots in 15 days after germination). Up to 194 spots showed qualitative or quantitative differences between stages. Statistical analysis of spot variation was performed by PCA, obtaining a more accurate grouping of the samples and determining the most discriminant spots. Samples were also clustered based on Pearson distance and Wards minimum distance. Sixty‐five variable spots were subjected to MS analysis, resulting in 21 identifications. The identified proteins belong to the following functional categories: enzymes of glycolysis, tricarboxylic acid cycle, and carbohydrate biosynthesis, protein translation, storage (glutelin), and stress‐related proteins. The evolution pattern of the functional groups was examined and discussed in terms of metabolism adaptation to the different embryogenic and germination stages.

Allele-specific reprogramming of cancer metabolism by the long non-coding RNA, CCAT2

Altered energy metabolism is a cancer hallmark as malignant cells tailor their metabolic pathways to meet their energy requirements. Glucose and glutamine are the major nutrients that fuel cellular metabolism, and the pathways utilizing these nutrients are often altered in cancer. Here, we show that the long ncRNA CCAT2, located at the 8q24 amplicon on cancer risk-associated rs6983267 SNP, regulates cancer metabolism in vitro and in vivo in an allele-specific manner by binding the Cleavage Factor I (CFIm) complex with distinct affinities for the two subunits (CFIm25 and CFIm68). The CCAT2 interaction with the CFIm complex fine-tunes the alternative splicing of Glutaminase (GLS) by selecting the poly(A) site in intron 14 of the precursor mRNA. These findings uncover a complex, allele-specific regulatory mechanism of cancer metabolism orchestrated by the two alleles of a long ncRNA.

Systemic Cold Stress Adaptation of Chlamydomonas reinhardtii

Chlamydomonas reinhardtii is one of the most important model organisms nowadays phylogenetically situated between higher plants and animals (Merchant et al. 2007). Stress adaptation of this unicellular model algae is in the focus because of its relevance to biomass and biofuel production. Here, we have studied cold stress adaptation of C. reinhardtii hitherto not described for this algae whereas intensively studied in higher plants. Toward this goal, high throughput mass spectrometry was employed to integrate proteome, metabolome, physiological and cell-morphological changes during a time-course from 0 to 120 h. These data were complemented with RT-qPCR for target genes involved in central metabolism, signaling, and lipid biosynthesis. Using this approach dynamics in central metabolism were linked to cold-stress dependent sugar and autophagy pathways as well as novel genes in C. reinhardtii such as CKIN1, CKIN2 and a hitherto functionally not annotated protein named CKIN3. Cold stress affected extensively the physiology and the organization of the cell. Gluconeogenesis and starch biosynthesis pathways are activated leading to a pronounced starch and sugar accumulation. Quantitative lipid profiles indicate a sharp decrease in the lipophilic fraction and an increase in polyunsaturated fatty acids suggesting this as a mechanism of maintaining membrane fluidity. The proteome is completely remodeled during cold stress: specific candidates of the ribosome and the spliceosome indicate altered biosynthesis and degradation of proteins important for adaptation to low temperatures. Specific proteasome degradation may be mediated by the observed cold-specific changes in the ubiquitinylation system. Sparse partial least squares regression analysis was applied for protein correlation network analysis using proteins as predictors and Fv/Fm, FW, total lipids, and starch as responses. We applied also Granger causality analysis and revealed correlations between proteins and metabolites otherwise not detectable. Twenty percent of the proteins responsive to cold are uncharacterized proteins. This presents a considerable resource for new discoveries in cold stress biology in alga and plants.

Combined proteomic and transcriptomic analysis identifies differentially expressed pathways associated to Pinus radiata needle maturation.

Needle differentiation is a very complex process that leads to the formation of a mature photosynthetic organ from pluripotent needle primordia. The proteome and transcriptome of immature and fully developed needles of Pinus radiata D. Don were compared to described changes in mRNA and protein species that characterize the needle maturation developmental process. A total of 856 protein spots were analyzed, defining a total of 280 spots as differential between developmental stages, from which 127 were confidently identified. A suppressive subtractive library (2048 clones, 274 non redundant contigs) was built, and 176 genes showed to be differentially expressed. The Joint data analysis of proteomic and transcriptomic results provided a broad overview of differentially expressed pathways associated with needle maturation and stress-related pathways. Proteins and genes related to energy metabolism pathways, photosynthesis, and oxidative phosphorylation were overexpressed in mature needles. Amino acid metabolism, transcription, and translation pathways were overexpressed in immature needles. Interestingly, stress related proteins were characteristic of immature tissues, a fact that may be linked to defense mechanisms and the higher growth rate and morphogenetic competence exhibited by these needles. Thus, this work provides an overview of the molecular changes affecting proteomes and transcriptomes during P. radiata needle maturation, having an integrative vision of the functioning and physiology of this process.

System-level network analysis of nitrogen starvation and recovery in Chlamydomonas reinhardtii reveals potential new targets for increased lipid accumulation

BackgroundNitrogen starvation is known to cause drastic alterations in physiology and metabolism leading to the accumulation of lipid bodies in many microalgae, and it thus presents an important alternative for biofuel production. However, despite the importance of this process, the molecular mechanisms that mediate the metabolic remodeling induced by N starvation and especially by stress recovery are still poorly understood, and new candidates for bioengineering are needed to make this process useful for biofuel production.ResultsWe have studied the molecular changes involved in the adaptive mechanisms to N starvation and full recovery of the vegetative cells in the microalga Chlamydomonas reinhardtii during a four-day time course.High throughput mass spectrometry was employed to integrate the proteome and the metabolome with physiological changes. N starvation led to an accumulation of oil bodies and reduced Fv/Fm.. Distinct enzymes potentially participating in the carbon-concentrating mechanism (CAH7, CAH8, PEPC1) are strongly accumulated. The membrane composition is changed, as indicated by quantitative lipid profiles. A reprogramming of protein biosynthesis was observed by increased levels of cytosolic ribosomes, while chloroplastidic were dramatically reduced. Readdition of N led to, the identification of early responsive proteins mediating stress recovery, indicating their key role in regaining and sustaining normal vegetative growth.Analysis of the data with multivariate correlation analysis, Granger causality, and sparse partial least square (sPLS) provided a functional network perspective of the molecular processes. Cell growth and N metabolism were clearly linked by the branched chain amino acids, suggesting an important role in this stress. Lipid accumulation was also tightly correlated to the COP II protein, involved in vesicle and lysosome coating, and a major lipid droplet protein. This protein, together with other key proteins mediating signal transduction and adaption (BRI1, snRKs), constitute a series of new metabolic and regulatory targets.ConclusionsThis work not only provides new insights and corrects previous models by analyzing a complex dataset, but also increases our biochemical understanding of the adaptive mechanisms to N starvation in Chlamydomonas, pointing to new bioengineering targets for increased lipid accumulation, a key step for a sustainable and profitable microalgae-based biofuel production.