脂滴——细胞脂类代谢的细胞器

脂滴是细胞内中性脂贮存的主要场所,由极性单磷脂层包裹疏水核心组成。近年来的蛋白质组学研究表明,脂滴表面还存在着许多功能蛋白,进一步揭示了脂滴可能参与细胞内物质的代谢和转运,以及细胞信号传导等过程,是一个活动旺盛的多功能细胞器。实验结果还证明,脂滴不但是甘油三酯贮存和分解、花生四烯酸代谢和前列腺素合成的主要场所,脂滴还具有合成甘油三酯和磷酯的功能。由此可见,脂滴可能是细胞内参与脂类合成代谢的细胞器。     

The Organelle Proteome of the DT40 Lymphocyte Cell Line

A major challenge in eukaryotic cell biology is to understand the roles of individual proteins and the subcellular compartments in which they reside. Here, we use the localization of organelle proteins by isotope tagging technique to complete the first proteomic analysis of the major organelles of the DT40 lymphocyte cell line. This cell line is emerging as an important research tool because of the ease with which gene knockouts can be generated. We identify 1090 proteins through the analysis of preparations enriched for integral membrane or soluble and peripherally associated proteins and localize 223 proteins to the endoplasmic reticulum, Golgi, lysosome, mitochondrion, or plasma membrane by matching their density gradient distributions to those of known organelle residents. A striking finding is that within the secretory and endocytic pathway a high proportion of proteins are not uniquely localized to a single organelle, emphasizing the dynamic steady-state nature of intracellular compartments in eukaryotic cells.The chicken pre-B cell line DT40 exhibits a remarkably high ratio of targeted to random integration for transfected DNA constructs. This property is unusual in vertebrate cell lines and enables targeted gene disruption experiments to be carried out with relative ease (1). Consequently, DT40 has become a major research tool for the molecular dissection of a wide range of cellular and biochemical mechanisms in a vertebrate context, including membrane traffic, signal transduction, and cell cycle (2).Proteins in eukaryotic cells are organized according to their functions within a dynamic network of membranes. Localization is therefore paramount in assigning functions to uncharacterized proteins and understanding the processes occurring in subcellular compartments. An increased knowledge of the protein localization within the DT40 cell line would be of great value. Traditional localization methods such as immunofluorescence microscopy are typically low throughput and are more suitably applied to the study of specific proteins of interest rather than the cataloguing of large numbers of proteins. Recent developments in proteomics have made it possible to analyze the protein composition of organelles using a variety of different approaches. Several groups have utilized label-free quantitative proteomics in the high throughput assignment of proteins to subcellular compartments. In one approach, protein correlation profiling, proteins from enriched organelle fractions are quantified by peptide ion intensity measurements (3, 4). Other similar methods employ quantitation by spectral counting, recording the number of ions detected per protein (5, 6). Localization of organelle proteins by isotope tagging (LOPIT)¹ is a complementary approach, which employs isotope labeling for quantitation (7–9). Rather than processing each sample separately as in label-free techniques, differentially labeled fractions are pooled early in the LOPIT protocol. This has the important advantage of reducing the points at which variation might be introduced into the data.LOPIT begins with the partial separation of organelles by density gradient centrifugation and relies on the assumption that proteins from each organelle co-fractionate. Protein profiles along the gradient are quantified by the use of isotopically coded tags in conjunction with two-dimensional liquid chromatography of peptides and tandem mass spectrometry. Multivariate statistical techniques are then used to assign localizations to proteins by comparing their gradient profiles to those of established organelle markers in an unbiased manner. The major strength of such an approach is that it enables residents of different subcellular compartments to be resolved even if their gradient distributions overlap, and genuine organelle constituents can be readily distinguished from contaminants.Here we use LOPIT to produce the first proteomic analysis of the major organelles of DT40. We have reproducibly identified 1090 proteins through the parallel analysis of preparations enriched for integral membrane or soluble and peripherally associated proteins. We use the distributions of 102 known organelle resident proteins as a basis to assign a further 223 proteins to five organelles: 79 to the endoplasmic reticulum (ER), 42 to the Golgi, 2 to the lysosome, 31 to the mitochondrion, and 69 to the plasma membrane (PM). We also demonstrate the resolution of components of the vesicular transport machinery. A striking finding is that a high proportion of identified proteins are not localized to a single organelle. This indicates that at steady state a substantial fraction of proteins are in transit between compartments, emphasizing the dynamic nature of intracellular organelles in eukaryotic cells. Our results represent the first application of LOPIT to a vertebrate system, provide the first organelle proteomic analysis of any lymphocyte cell line, and establish a major resource for the DT40 community.     

Use of fluorescent-protein tagging to determine the subcellular localization of mycoplasma pneumoniae proteins encoded by the cytadherence regulatory locus

Mycoplasma pneumoniae lacks a cell wall but has internal cytoskeleton-like structures that are assumed to support the attachment organelle and asymmetric cell shape of this bacterium. To explore the fine details of the attachment organelle and the cytoskeleton-like structures, a fluorescent-protein tagging technique was applied to visualize the protein components of these structures. The focus was on the four proteins--P65, HMW2, P41, and P24--that are encoded in the crl operon (for "cytadherence regulatory locus"), which is known to be essential for the adherence of M. pneumoniae to host cells. When the P65 and HMW2 proteins were fused to enhanced yellow fluorescent protein (EYFP), a variant of green fluorescent protein, the fused proteins became localized at the attachment organelle, enabling visualization of the organelles of living cells by fluorescence microscopy. The leading end of gliding M. pneumoniae cells, expressing the EYFP-P65 fusion, was observed as a focus of fluorescence. On the other hand, when the P41 and P24 proteins were labeled with EYFP, the fluorescence signals of these proteins were observed at the proximal end of the attachment organelle. Coexpression of the P65 protein labeled with enhanced cyan fluorescent protein clearly showed that the sites of localization of P41 and P24 did not overlap that of P65. The localization of P41 and P24 suggested that they are also cytoskeletal proteins that function in the formation of unknown structures at the proximal end of the attachment organelle. The fluorescent-protein fusion technique may serve as a powerful tool for identifying components of cytoskeleton-like structures and the attachment organelle. It can also be used to analyze their assembly.     

Characterization of a Mycoplasma pneumoniae hmw3 mutant: implications for attachment organelle assembly

The proteins required for adherence of the pathogen Mycoplasma pneumoniae to host respiratory epithelial cells are localized to a polar structure, the attachment organelle. A number of these proteins have been characterized functionally by analysis of noncytadhering mutants, and many are components of the mycoplasma cytoskeleton. Mutations in some cytadherence-associated proteins have pleiotropic effects, including decreased stability of other proteins, loss of adherence and motility, and abnormal morphology. The function of protein HMW3, a component of the attachment organelle, has been difficult to discern due to lack of an appropriate mutant. In this paper, we report that loss of HMW3 resulted in decreased levels and more diffuse localization of cytoskeletal protein P65, subtle changes in morphology, inability to cluster the adhesin P1 consistently at the terminal organelle, reduced cytadherence, and, in some cells, an atypical electron-dense core in the attachment organelle. This phenotype suggests a role for HMW3 in the architecture and stability of the attachment organelle.     

Lysosomal membrane proteomics and biogenesis of lysosomes

This review focuses on events involved in the biogenesis of the lysosome. This organelle contains a diverse array of soluble, luminal proteins capable of digesting all the macromolecules in the cell. Altered function of lysosomes or its constituent enzymes has been implicated in a host of human pathologies, including storage diseases, cancer, and infectious and neurodegenerative diseases. Luminal enzymes are well-characterized, and aspects of how they are incorporated into lysosomes are known. However, little is known about the composition of the membrane surrounding the organelle or how the membrane is assembled. Our starting point to study lysosome biogenesis is to define the composition of the membrane by the use of proven methods for purification of lysosomes to near homogeneity and then to characterize membrane-associated and integral lysosomal membrane proteins. This has been achieved using advanced proteomics (electrophoretic or chromatographic separations of proteins followed by time-of-flight mass spectrometric identification of peptide sequences). To date, we have identified 55 proteins in the membrane-associated fraction and 215 proteins in the integral membrane. By applying these methods to mouse models of lysosome dysgenesis (such as BEIGE, Pale Ear, PEARL) that are related to human diseases such as Chediak-Higashi and Hermansky-Pudlak syndromes, it may be possible to define the membrane protein composition of lysosomes in each of these mutants and to determine how they differ from normal. Identifying proteins affected in the respective mutants may provide hints about how they are targeted to the lysosomal membrane and how failure to target them leads to disease; these features are pivotal to understanding lysosome biogenesis and have the potential to implicate lysosomes in a broad range of human pathologies.     

Organellar proteomics of human platelet dense granules reveals that 14-3-3zeta is a granule protein related to atherosclerosis

Dense granules, a type of platelet secretory organelle, are known to accumulate high concentrations of small molecules such as calcium, adenine nucleotides, serotonin, pyrophosphate, and polyphosphate. Protein composition of these granules has been obscure, however. In this paper, we use proteomics techniques to describe, for the first time, the soluble protein composition of platelet dense granules. We have isolated highly enriched human platelet dense granule fractions that have been analyzed using two proteomics methods. Using this approach, we have identified 40 proteins, and most of them, such as actin-associated proteins, glycolytic enzymes, and regulatory proteins, have not previously been related to the organelle. We have focused our efforts on studying 14-3-3zeta, a member of a conserved family of proteins that interact with hundreds of different proteins. We have demonstrated that 14-3-3zeta is localized mostly on dense granules and that it is secreted after platelet activation. As some proteins secreted from activated platelets could promote the development of atherosclerosis and thrombosis, we have studied the expression of 14-3-3zeta in sections of human abdominal aorta of patients with aneurysm, identifying it at the atherosclerotic plaques. Together, our results reveal new details of the composition of the platelet dense granule and suggest an extracellular function for 14-3-3zeta associated with atherosclerosis.     

Protein Neighbors and Proximity Proteomics

Within cells, proteins can co-assemble into functionally integrated and spatially restricted multicomponent complexes. Often, the affinities between individual proteins are relatively weak, and proteins within such clusters may interact only indirectly with many of their other protein neighbors. This makes proteomic characterization difficult using methods such as immunoprecipitation or cross-linking. Recently, several groups have described the use of enzyme-catalyzed proximity labeling reagents that covalently tag the neighbors of a targeted protein with a small molecule such as fluorescein or biotin. The modified proteins can then be isolated by standard pulldown methods and identified by mass spectrometry. Here we will describe the techniques as well as their similarities and differences. We discuss their applications both to study protein assemblies and to provide a new way for characterizing organelle proteomes. We stress the importance of proteomic quantitation and independent target validation in such experiments. Furthermore, we suggest that there are biophysical and cell-biological principles that dictate the appropriateness of enzyme-catalyzed proximity labeling methods to address particular biological questions of interest.     

Localization of organelle proteins by isotope tagging (LOPIT)

We describe a proteomics method for determining the subcellular localization of membrane proteins. Organelles are partially separated using centrifugation through self-generating density gradients. Proteins from each organelle co-fractionate and therefore exhibit similar distributions in the gradient. Protein distributions can be determined through a series of pair-wise comparisons of gradient fractions, using cleavable ICAT to enable relative quantitation of protein levels by MS. The localization of novel proteins is determined using multivariate data analysis techniques to match their distributions to those of proteins that are known to reside in specific organelles. Using this approach, we have simultaneously demonstrated the localization of membrane proteins in both the endoplasmic reticulum and the Golgi apparatus in Arabidopsis. Localization of organelle proteins by isotope tagging is a new tool for high-throughput protein localization, which is applicable to a wide range of research areas such as the study of organelle function and protein trafficking.     

Quantitative proteomic comparison of rat mitochondria from muscle, heart, and liver

Mitochondria, through oxidative phosphorylation, are the primary source of energy production in all tissues under aerobic conditions. Although critical to life, energy production is not the only function of mitochondria, and the composition of this organelle is tailored to meet the specific needs of each cell type. As an organelle, the mitochondrion has been a popular subject for proteomic analysis, but quantitative proteomic methods have yet to be applied to tease apart subtle differences among mitochondria from different tissues or muscle types. Here we used mass spectrometry-based proteomics to analyze mitochondrial proteins extracted from rat skeletal muscle, heart, and liver tissues. Based on 689 proteins identified with high confidence, mitochondria from the different tissues are qualitatively quite similar. However, striking differences emerged from the quantitative comparison of protein abundance between the tissues. Furthermore we applied similar methods to analyze mitochondrial matrix and intermembrane space proteins extracted from the same mitochondrial source, providing evidence for the submitochondrial localization of a number of proteins in skeletal muscle and liver. Several proteins not previously thought to reside in mitochondria were identified, and their presence in this organelle was confirmed by protein correlation profiling. Hierarchical clustering of microarray expression data provided further evidence that some of the novel mitochondrial candidates identified in the proteomic survey might be associated with mitochondria. These data reveal several important distinctions between mitochondrial and submitochondrial proteomes from skeletal muscle, heart, and liver tissue sources. Indeed approximately one-third of the proteins identified in the soluble fractions are associated predominantly to one of the three tissues, indicating a tissue-dependent regulation of mitochondrial proteins. Furthermore a small percentage of the mitochondrial proteome is unique to each tissue.     

Guilt by association: the nuclear envelope proteome and disease

The discovery that many inherited diseases are linked to interacting nuclear envelope proteins has raised the possibility that human genetic studies could be assisted by a fusion with proteomics. Two principles could be applied. In the first, the proteome of an organelle associated with a genetically variable disease is determined. The chromosomal locations of the genes encoding the organellar proteins are then determined. If a related disease is linked to a large chromosomal region that includes a gene identified in the organelle, then that gene has an increased likelihood of causing the disease. Directly sequencing this allele from patient samples might speed identification compared with further genetic linkage studies as has been demonstrated for multiple diseases associated with the nuclear envelope. The second principle is that if an organelle has been implicated in the pathology of a particular disorder, then comparison of the organelle proteome from control and patient cells might highlight differences that could indicate the causative protein. The distinct, tissue-specific pathologies associated with nuclear envelope diseases suggest that many tissues will have a set of disorders linked to this organelle, and there are numerous as yet unmapped or partially mapped syndromes that could benefit from such an approach.     

Multiple marker abundance profiling: combining selected reaction monitoring and data‐dependent acquisition for rapid estimation of organelle abundance in subcellular samples

Measuring changes in protein or organelle abundance in the cell is an essential, but challenging aspect of cell biology. Frequently‐used methods for determining organelle abundance typically rely on detection of a very few marker proteins, so are unsatisfactory. In silico estimates of protein abundances from publicly available protein spectra can provide useful standard abundance values but contain only data from tissue proteomes, and are not coupled to organelle localization data. A new protein abundance score, the normalized protein abundance scale (NPAS), expands on the number of scored proteins and the scoring accuracy of lower‐abundance proteins in Arabidopsis. NPAS was combined with subcellular protein localization data, facilitating quantitative estimations of organelle abundance during routine experimental procedures. A suite of targeted proteomics markers for subcellular compartment markers was developed, enabling independent verification of in silico estimates for relative organelle abundance. Estimation of relative organelle abundance was found to be reproducible and consistent over a range of tissues and growth conditions. In silico abundance estimations and localization data have been combined into an online tool, multiple marker abundance profiling, available in the SUBA4 toolbox ( http://suba.live ).     

The amino terminus of the yeast F1-ATPase beta-subunit precursor functions as a mitochondrial import signal

The ATP2 gene of Saccharomyces cerevisiae codes for the cytoplasmically synthesized beta-subunit protein of the mitochondrial F1-ATPase. To define the amino acid sequence determinants necessary for the in vivo targeting and import of this protein into mitochondria, we have constructed gene fusions between the ATP2 gene and either the Escherichia coli lacZ gene or the S. cerevisiae SUC2 gene (which codes for invertase). The ATP2-lacZ and ATP2-SUC2 gene fusions code for hybrid proteins that are efficiently targeted to yeast mitochondria in vivo. The mitochondrially associated hybrid proteins fractionate with the inner mitochondrial membrane and are resistant to proteinase digestion in the isolated organelle. Results obtained with the gene fusions and with targeting-defective ATP2 deletion mutants provide evidence that the amino-terminal 27 amino acids of the beta-subunit protein precursor are sufficient to direct both specific sorting of this protein to yeast mitochondria and its import into the organelle. Also, we have observed that certain of the mitochondrially associated Atp2-LacZ and Atp2-Suc2 hybrid proteins confer a novel respiration-defective phenotype to yeast cells.     

Localization of Mycoplasma pneumoniae cytadherence-associated protein HMW2 by fusion with green fluorescent protein: implications for attachment organelle structure

The terminal organelle of the cell wall-less pathogenic bacterium Mycoplasma pneumoniae is a complex structure involved in adherence, gliding motility and cell division. This membrane-bound extension of the mycoplasma cell possesses a characteristic electron-dense core. A number of proteins having direct or indirect roles in M. pneumoniae cytadherence have been previously localized to the terminal organelle. However, the cytadherence-accessory protein HMW2, which is required for the stabilization of several terminal organelle components, has been refractory to antibody-based approaches to subcellular localization. In the current study, we constructed a sandwich fusion of HMW2 and enhanced green fluorescent protein (EGFP) and expressed this fusion in wild-type M. pneumoniae and the hmw2- mutant I-2. The fusion protein was produced in both backgrounds at wild-type levels and supported stabilization of proteins HMW1, HMW3 and P65, and haemadsorption function in mutant I-2. Furthermore, the fusion protein was fluorescent and localized specifically to the terminal organelle. However, the EGFP moiety appeared to interfere partially with processes related to cell division, as transformant cells exhibited an increased incidence of bifurcated attachment organelles. These data together with structural predictions suggest that HMW2 is the defining component of the electron-dense core of the terminal organelle.     

The proteome of lysosomes

Lysosomes are organelles of eukaryotic cells that are critically involved in the degradation of macromolecules mainly delivered by endocytosis and autophagocytosis. Degradation is achieved by more than 60 hydrolases sequestered by a single phospholipid bilayer. The lysosomal membrane facilitates interaction and fusion with other compartments and harbours transport proteins catalysing the export of catabolites, thereby allowing their recycling. Lysosomal proteins have been addressed in various proteomic studies that are compared in this review regarding the source of material, the organelle/protein purification scheme, the proteomic methodology applied and the proteins identified. Distinguishing true constituents of an organelle from co-purifying contaminants is a central issue in subcellular proteomics, with additional implications for lysosomes as being the site of degradation of many cellular and extracellular proteins. Although many of the lysosomal hydrolases were identified by classical biochemical approaches, the knowledge about the protein composition of the lysosomal membrane has remained fragmentary for a long time. Using proteomics many novel lysosomal candidate proteins have been discovered and it can be expected that their functional characterisation will help to understand functions of lysosomes at a molecular level that have been characterised only phenomenologically so far and to generally deepen our understanding of this indispensable organelle.     

Presence of a latent mitochondrial targeting signal in gene on mitochondrial genome

Organelles, such as mitochondria and chloroplasts, are derived from endosymbionts. Gene transfer events from organelles to the nucleus have occurred over evolutionary time. In the case that a transferred gene in the nucleus needs to go back to the original organelle, it must obtain targeting information for sorting its protein to that organelle. Here, we reveal that the genes for the ribosomal proteins L2 and S4 in the Arabidopsis thaliana mitochondrial (mt) genome contain information for protein targeting into the mitochondria. Similarly, the genes for the ribosomal proteins L2 and S19 in the Oryza sativa mt genome contain information for protein targeting into mitochondria. These results suggest that targeting information already existed in each gene in the plant mt genome before the transfer event to the nucleus occurred. We provide new insights into the timing of the appearance of targeting signals in evolution.     

Development of a high-throughput method for the systematic identification of human proteins nuclear translocation potential

Background  

Important clues to the function of novel and uncharacterized proteins can be obtained by identifying their ability to translocate in the nucleus. In addition, a comprehensive definition of the nuclear proteome undoubtedly represents a key step toward a better understanding of the biology of this organelle. Although several high-throughput experimental methods have been developed to explore the sub-cellular localization of proteins, these methods tend to focus on the predominant localizations of gene products and may fail to provide a complete catalog of proteins that are able to transiently locate into the nucleus.     

Improved sub-cellular resolution via simultaneous analysis of organelle proteomics data across varied experimental conditions

Spatial organisation of proteins according to their function plays an important role in the specificity of their molecular interactions. Emerging proteomics methods seek to assign proteins to sub-cellular locations by partial separation of organelles and computational analysis of protein abundance distributions among partially separated fractions. Such methods permit simultaneous analysis of unpurified organelles and promise proteome-wide localisation in scenarios wherein perturbation may prompt dynamic re-distribution. Resolving organelles that display similar behavior during a protocol designed to provide partial enrichment represents a possible shortcoming. We employ the Localisation of Organelle Proteins by Isotope Tagging (LOPIT) organelle proteomics platform to demonstrate that combining information from distinct separations of the same material can improve organelle resolution and assignment of proteins to sub-cellular locations. Two previously published experiments, whose distinct gradients are alone unable to fully resolve six known protein-organelle groupings, are subjected to a rigorous analysis to assess protein-organelle association via a contemporary pattern recognition algorithm. Upon straightforward combination of single-gradient data, we observe significant improvement in protein-organelle association via both a non-linear support vector machine algorithm and partial least-squares discriminant analysis. The outcome yields suggestions for further improvements to present organelle proteomics platforms, and a robust analytical methodology via which to associate proteins with sub-cellular organelles.     

Microtubule motor proteins and the organization of the pollen tube cytoplasm

Molecular motors are molecules that drive a wide range of activities (for example, organelle movement, chromosome segregation, and flagellar movement) in cells. Thus, they play essential roles in diverse cellular functions. Understanding their structures, mechanisms of action and different roles is therefore of great practical importance. The role of microtubules during pollen tube growth is presently not identified, nor are basic properties. We do not know, for example, where microtubules are organized, the extent of microtubule dynamics, and the polarity of microtubules in the pollen tube. Roles of microtubules and related motors in organelle trafficking are not clear. Regardless of scarce information, microtubule-based motors of both the kinesin and dynein families have been identified in the pollen tube. Most of these microtubule motors have also been found in association with membrane-bounded organelles, which suggest that these proteins could translocate organelles or vesicles along microtubules. The biochemical features of these proteins are typical of the motor protein class. Immunofluorescence microscopy of pollen tubes probed with antibodies that cross-react with microtubule motors indicate that these proteins are localized in different regions of the pollen tube; therefore, they could have different roles. Although a number of microtubule motors have been identified in the pollen tube, the role of these proteins during pollen tube germination and growth or organelle movement is not yet recognized, as tube elongation and organelle movement in the pollen tube depend mostly on actin filaments. In the effort to understand the specific role that microtubules and related motors have in the pollen tube, it is therefore necessary to identify the molecular machinery that interacts with microtubules. Furthermore, it is crucial to clearly establish the types of interaction between organelles and microtubules. This review summarizes the current state of the art on microtubule motors in the pollen tube, mainly surrounding the putative roles of microtubule motors in organelle movement and cytoplasmic organization. Some hypotheses and speculations are also presented.