Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction

Growth is a fundamental process of life. Growth requirements are well‐characterized experimentally for many microbes; however, we lack a unified model for cellular growth. Such a model must be predictive of events at the molecular scale and capable of explaining the high‐level behavior of the cell as a whole. Here, we construct an ME‐Model for Escherichia coli—a genome‐scale model that seamlessly integrates metabolic and gene product expression pathways. The model computes ～80% of the functional proteome (by mass), which is used by the cell to support growth under a given condition. Metabolism and gene expression are interdependent processes that affect and constrain each other. We formalize these constraints and apply the principle of growth optimization to enable the accurate prediction of multi‐scale phenotypes, ranging from coarse‐grained (growth rate, nutrient uptake, by‐product secretion) to fine‐grained (metabolic fluxes, gene expression levels). Our results unify many existing principles developed to describe bacterial growth.     

Emergence of robust growth laws from optimal regulation of ribosome synthesis

Bacteria must constantly adapt their growth to changes in nutrient availability; yet despite large‐scale changes in protein expression associated with sensing, adaptation, and processing different environmental nutrients, simple growth laws connect the ribosome abundance and the growth rate. Here, we investigate the origin of these growth laws by analyzing the features of ribosomal regulation that coordinate proteome‐wide expression changes with cell growth in a variety of nutrient conditions in the model organism Escherichia coli. We identify supply‐driven feedforward activation of ribosomal protein synthesis as the key regulatory motif maximizing amino acid flux, and autonomously guiding a cell to achieve optimal growth in different environments. The growth laws emerge naturally from the robust regulatory strategy underlying growth rate control, irrespective of the details of the molecular implementation. The study highlights the interplay between phenomenological modeling and molecular mechanisms in uncovering fundamental operating constraints, with implications for endogenous and synthetic design of microorganisms.     

2‐DE proteome maps for the leaf apoplast of Nicotiana benthamiana

We provide 2‐D gel reference maps for the apoplastic proteome of Nicotiana benthamiana leaves infiltrated or not with the bacterial gene vector Agrobacterium tumefaciens. About 90 proteins were analyzed by LC‐MS/MS for identification and function assignment. We show, overall, an effective response of the plant to agroinfiltration involving a specific, cell wall maintenance‐independent up‐regulation of defense protein secretion. The proteome maps described should be a useful tool for systemic studies on plant–pathogen interactions or cell wall metabolism. They also should prove useful for the monitoring of secreted recombinant proteins and their possible pleiotropic effects along the cell secretory pathway of N. benthamiana leaves used as an expression platform for clinically useful proteins.     

Real‐time cell analysis and heat shock protein gene expression in the TcA Tribolium castaneum cell line in response to environmental stress conditions

The rust red flour beetle, Tribolium castaneum (Herbst, 1797) (Coleoptera: Tenebrionidae), is a pest of stored grain and one of the most studied insect model species. Some of the previous studies involved heat response studies in terms of survival and heat shock protein expression, which are regulated to protect other proteins against environmental stress conditions. In the present study, we characterize the impedance profile with the xCELLigence Real‐Time Cell Analyzer and study the effect of increased temperature in cell growth and viability in the cell line BCIRL‐TcA‐CLG1 (TcA) of T. castaneum. This novel system measures cells behavior in real time and is applied for the first time to insect cells. Additionally, cells are exposed to heat shock, increased salinity, acidic pH and UV‐A light with the aim of measuring the expression levels of Hsp27, Hsp68a, and Hsp83 genes. Results show a high thermotolerance of TcA in terms of cell growth and viability. This result is likely related to gene expression results in which a significant up‐regulation of all studied Hsp genes is observed after 1 h of exposure to 40 °C and UV light. All 3 genes show similar expression patterns, but Hsp27 seems to be the most affected. The results of this study validate the RTCA method and reveal the utility of insect cell lines, real‐time analysis and gene expression studies to better understand the physiological response of insect cells, with potential applications in different fields of biology such as conservation biology and pest management.     

Stable suppression of myostatin gene expression in goat fetal fibroblast cells by lentiviral vector‐mediated RNAi

Myostatin (MSTN) is a secreted growth factor that negatively regulates skeletal muscle mass, and therefore, strategies to block myostatin‐signaling pathway have been extensively pursued to increase the muscle mass in livestock. Here, we report a lentiviral vector‐based delivery of shRNA to disrupt myostatin expression into goat fetal fibroblasts (GFFs) that were commonly used as karyoplast donors in somatic‐cell nuclear transfer (SCNT) studies. Sh‐RNA positive cells were screened by puromycin selection. Using real‐time polymerase chain reaction (PCR), we demonstrated efficient knockdown of endogenous myostatin mRNA with 64% down‐regulation in sh2 shRNA‐treated GFF cells compared to GFF cells treated by control lentivirus without shRNA. Moreover, we have also demonstrated both the induction of interferon response and the expression of genes regulating myogenesis in GFF cells. The results indicate that myostatin‐targeting siRNA produced endogenously could efficiently down‐regulate myostatin expression. Therefore, targeted knockdown of the MSTN gene using lentivirus‐mediated shRNA transgenics would facilitate customized cell engineering, allowing potential use in the establishment of stable cell lines to produce genetically engineered animals. © 2014 American Institute of Chemical Engineers Biotechnol. Prog., 31:452–459, 2015     

Cell wall proteomics contributes to explore the functional proteins of Brachypodium distachyon grains

The plant cell wall is the first barrier in response to external stimuli and cell wall proteins (CWPs) can play an important role in the modulation of plant growth and development. In the past 10 years, the plant cell wall proteomics has increasingly become a very active research filed, which provides a broader understanding of CWPs for people. The cell wall proteome of Arabidopsis, rice, and other model plants has begun to take shape, and proteomic technology has become an effective way to identify the candidate functional CWPs in large scale. The challenging work of Francin‐Allami et al. (Proteomics 2015, 15, 2296–2306) is a vital step toward building the most extensive cell wall proteome of a monocot species. They identified 299 cell wall proteins in Brachypodium distachyon grains, and also compared the grain cell wall proteome with those of B. distachyon culms and leaves, which provides a new perspective for further explaining the plant cell wall structures and remodeling mechanism.     

Comprehensive Profiling of Lysine Acetylome in Baculovirus Infected Silkworm (Bombyx mori) Cells

Bombyx mori is one of the key lepidopteran model species, and is economically important for silk production and proteinaceous drug expression. Baculovirus and insect host are important natural biological models for studying host–pathogen interactions. The impact of Bombyx mori nucleopolyhedrovirus (BmNPV) infection on the proteome and acetylome of Bombyx mori ovarian (BmN) cells are explored to facilitate a better understanding of infection‐driven interactions between BmNPV and host in vitro. The proteome and acetylome are profiled through six‐plex Tandem mass tag (TMT) labeling‐based quantitative proteomics. A total of 4194 host proteins are quantified, of which 33 are upregulated and 47 are downregulated in BmN cells at 36 h post‐infection. Based on the proteome, quantifiable differential Kac proteins are identified and functionally annotated to gene expression regulation, energy metabolism, substance synthesis, and metabolism after BmNPV infection. Altogether, 644 Kac sites in 431 host proteins and 39 Kac sites in 22 viral proteins are identified and quantified in infected BmN cells. Our study demonstrates that BmNPV infection globally impacts the proteome and acetylome of BmN cells. The viral proteins are also acetylated by the host acetyltransferase. Protein acetylation is essential for cellular self‐regulation and response to virus infection. This study provides new insights for understanding the host–virus interaction mechanisms, and the role of acetylation in BmN cellular response to viral infection.     

Proteome analysis of liver cells expressing a full-length hepatitis C virus (HCV) replicon and biopsy specimens of posttransplantation liver from HCV-infected patients

The development of a reproducible model system for the study of hepatitis C virus (HCV) infection has the potential to significantly enhance the study of virus-host interactions and provide future direction for modeling the pathogenesis of HCV. While there are studies describing global gene expression changes associated with HCV infection, changes in the proteome have not been characterized. We report the first large-scale proteome analysis of the highly permissive Huh-7.5 cell line containing a full-length HCV replicon. We detected >4,200 proteins in this cell line, including HCV replicon proteins, using multidimensional liquid chromatographic (LC) separations coupled to mass spectrometry. Consistent with the literature, a comparison of HCV replicon-positive and -negative Huh-7.5 cells identified expression changes of proteins involved in lipid metabolism. We extended these analyses to liver biopsy material from HCV-infected patients where a total of >1,500 proteins were detected from only 2 mug of liver biopsy protein digest using the Huh-7.5 protein database and the accurate mass and time tag strategy. These findings demonstrate the utility of multidimensional proteome analysis of the HCV replicon model system for assisting in the determination of proteins/pathways affected by HCV infection. Our ability to extend these analyses to the highly complex proteome of small liver biopsies with limiting protein yields offers the unique opportunity to begin evaluating the clinical significance of protein expression changes associated with HCV infection.     

Application of iTRAQ to catalogue the skeletal muscle proteome in pigs and assessment of effects of gender and diet dephytinization

In this study iTRAQ was used to produce a highly confident catalogue of 542 proteins identified in porcine muscle (false positive<5%). To our knowledge this is the largest reported set of skeletal muscle proteins in livestock. Comparison with human muscle proteome demonstrated a low level of false positives with 83% of the proteins common to both proteomes. In addition, for the first time we assess variations in the muscle proteome caused by sexually dimorphic gene expression and diet dephytinization. Preliminary analysis identified 19 skeletal muscle proteins differentially expressed between male and female pigs (≥1.2‐fold, p<0.05), but only one of them, GDP‐dissociation inhibitor 1, was significant (p<0.05) after false discovery rate correction. Diet dephytinization affected expression of 20 proteins (p<0.05). This study would contribute to an evaluation of the suitability of the pig as a model to study human gender‐related differences in gene expression. Transgenic pigs used in this study might also serve as a useful model to understand changes in human physiology resulting from diet dephytinization.     

Inhibition of melanoma development in the Nras(Q61K)::Ink4a−/− mouse model by the small molecule BI‐69A11

To date, there are no effective therapies for tumors bearing NRAS mutations, which are present in 15–20% of human melanomas. Here we extend our earlier studies where we demonstrated that the small molecule BI‐69A11 inhibits the growth of melanoma cell lines. Gene expression analysis revealed the induction of interferon‐ and cell death‐related genes that were associated with responsiveness of melanoma cell lines to BI‐69A11. Strikingly, the administration of BI‐69A11 inhibited melanoma development in genetically modified mice bearing an inducible form of activated Nras and a deletion of the Ink4a gene (Nras^(Q61K)::Ink4a^?/?). Biweekly administration of BI‐69A11 starting at 10 weeks or as late as 24 weeks after the induction of mutant Nras expression inhibited melanoma development (100 and 36%, respectively). BI‐69A11 treatment did not inhibit the development of histiocytic sarcomas, which constitute about 50% of the tumors in this model. BI‐69A11‐resistant Nras^(Q61K)::Ink4a^?/? tumors exhibited increased CD45 expression, reflective of immune cell infiltration and upregulation of gene networks associated with the cytoskeleton, DNA damage response, and small molecule transport. The ability to attenuate the development of NRAS mutant melanomas supports further development of BI‐69A11 for clinical assessment.     

The Regulator RamA Influences cmytA Transcription and Cell Morphology of Corynebacterium ammoniagenes

RamA plays a regulatory role for acetate utilization and S-layer biosynthesis in Corynebacterium glutamicum. Looking for any additional role, the function of RamA was analyzed in Corynebacterium ammoniagenes, which is closely related to C. glutamicum. In this study, we showed that the ΔramA mutant constructed by a markerless knockout strategy possessed increased cell surface hydrophobicity, leading to the formation of aggregated cell masses in liquid media. In addition, the mutant exhibited an elongated cell shape as observed by SEM, suggesting that cell wall-associated proteins might be influenced. Furthermore, cell surface proteome analysis revealed that the expression of cmytA gene encoding corynomycoloyl transferase required for cell wall biosynthesis was down-regulated in the mutant, supporting the regulatory role of RamA in cell wall assembly. These studies support a novel regulatory role of RamA in inducing the expression of proteins required for cell wall assembly.     

Direct and tumor microenvironment mediated influences of 5′‐deoxy‐5′‐(methylthio)adenosine on tumor progression of malignant melanoma

Recent studies have shown that a loss of methylthioadenosine phosphorylase (MTAP) gene expression exerts a tumor‐promoting effect, including induction of invasiveness, enhanced cell proliferation, and resistance against cytokines. To date, the molecular mechanisms underlying these effects remain unknown. Since the loss of MTAP expression resulted in induced secretion of 5′‐deoxy‐5′‐(methylthio)adenosine (MTA), we hypothesized that MTA might modulate the observed effects. We first determined MTA levels produced by tumor cells in vitro and in situ by means of stable isotope dilution liquid chromatography tandem mass spectrometry. Subsequently, we revealed induction of matrix metalloproteinase (MMP) and growth factor gene expression in melanoma cells accompanied by enhanced invasion and vasculogenic mimicry. In addition, MTA induced the secretion of basis fibroblast growth factor (bFGF) and MMP3 from fibroblasts and the upregulation of activator protein‐1 (AP‐1) activity in melanoma cells and fibroblasts. In summary, we demonstrated a tumor‐supporting role of MTA. J. Cell. Biochem. 106: 210–219, 2009. © 2008 Wiley‐Liss, Inc.     

Modularity and hormone sensitivity of the Drosophila melanogaster insulin receptor/target of rapamycin interaction proteome

Genetic analysis in Drosophila melanogaster has been widely used to identify a system of genes that control cell growth in response to insulin and nutrients. Many of these genes encode components of the insulin receptor/target of rapamycin (InR/TOR) pathway. However, the biochemical context of this regulatory system is still poorly characterized in Drosophila. Here, we present the first quantitative study that systematically characterizes the modularity and hormone sensitivity of the interaction proteome underlying growth control by the dInR/TOR pathway. Applying quantitative affinity purification and mass spectrometry, we identified 97 high confidence protein interactions among 58 network components. In all, 22% of the detected interactions were regulated by insulin affecting membrane proximal as well as intracellular signaling complexes. Systematic functional analysis linked a subset of network components to the control of dTORC1 and dTORC2 activity. Furthermore, our data suggest the presence of three distinct dTOR kinase complexes, including the evolutionary conserved dTTT complex (Drosophila TOR, TELO2, TTI1). Subsequent genetic studies in flies suggest a role for dTTT in controlling cell growth via a dTORC1‐ and dTORC2‐dependent mechanism.