Stable-isotope labeling with amino acids in nematodes

We describe an approach for accurate quantitation of global protein dynamics in Caenorhabditis elegans. We adapted stable-isotope labeling with amino acids in cell culture (SILAC) for nematodes by feeding worms a heavy lysine- and heavy arginine-labeled Escherichia coli strain and report a genetic solution to elminate the problem of arginine-to-proline conversion. Combining our approach with quantitative proteomics methods, we characterized the heat-shock response in worms.     

基于质谱的蛋白质N末端乙酰化程度定量方法的研究

随着质谱技术及各种定量方法的不断完善和发展,定量蛋白质组学的方法不断地被应用到各类生物学研究中。蛋白质组学定性定量数据的处理主要通过一些多功能的商业化或者开源软件来进行,如常用的数据分析软件Proteome Discoverer和Maxquant。但是在通过化学标记对蛋白质N末端乙酰化程度进行定量这一方面,Proteome Discoverer和Maxquant在一定程度上存在准确性不高和完整度不够的问题。于是本研究针对自己的实验特点,通过Java算法编写了相应的定量程序Acequant来完成N末端乙酰化程度的相对定量。本研究将该程序在已有相关报道的He La cell上进行了验证,Acequant共定量到1 587个蛋白质N末端,而Proteome Discoverer和Maxquant分别只定量到42个和306个N末端。同时,手动验证原始图谱也证实了Acequant定量的准确性更好。于是,本研究将此方法进一步应用到秀丽隐杆线虫N末端乙酰化的研究中,并初步发现了线虫整体的N末端乙酰化状态,为进一步的N末端研究提供了支持。     

A multiple reaction monitoring method for absolute quantification of the human liver alcohol dehydrogenase ADH1C1 isoenzyme

Although significant progress has been made in protein quantification using mass spectrometry during recent years, absolute protein quantification in complex biological systems remains a challenging task in proteomics. The use of stable isotope-labeled standard peptide is the most commonly used strategy for absolute quantification, but it might not be suitable in all instances. Here we report an alternative strategy that employs a stable isotope-labeled intact protein as an internal standard to absolutely quantify the alcohol dehydrogenase (ADH) expression level in a human liver sample. In combination with a new targeted proteomics approach employing the method of multiple reaction monitoring (MRM), we precisely and quantitatively measured the absolute protein expression level of an ADH isoenzyme, ADH1C1, in human liver. Isotope-labeled protein standards are predicted to be particularly useful for measurement of highly homologous isoenzymes such as ADHs where multiple signature peptides can be examined by MRM in a single experiment.     

An altered method of feeding RNAi that knocks down multiple genes simultaneously in the nematode Caenorhabditis elegans

In reverse genetics, RNA interference (RNAi) which is substitutable for gene-disruption, is an outstanding method for knockdown of a gene's function. In Caenorhabditis elegans, feeding RNAi is most convenient, but this RNAi is not suitable for knockdown of multiple genes. Hence, we attempted to establish an efficient method of feeding RNAi for multiple knockdown. We produced bacteria yielding three distinct double-stranded RNAs bound to one another, and fed those bacteria to C. elegans. Quantitative RT-PCR and observation of phenotypes indicated that our method is much more efficient than the traditional one. Our method is useful for investigating genes' functions in C. elegans.     

Computational analysis of shotgun proteomics data

Proteomics technology is progressing at an incredible rate. The latest generation of tandem mass spectrometers can now acquire tens of thousands of fragmentation spectra in a matter of hours. Furthermore, quantitative proteomics methods have been developed that incorporate a stable isotope-labeled internal standard for every peptide within a complex protein mixture for the measurement of relative protein abundances. These developments have opened the doors for 'shotgun' proteomics, yet have also placed a burden on the computational approaches that manage the data. With each new method that is developed, the quantity of data that can be derived from a single experiment increases. To deal with this increase, new computational approaches are being developed to manage the data and assess false positives. This review discusses current approaches for analyzing proteomics data by mass spectrometry and identifies present computational limitations and bottlenecks.     

An integrated approach for automating validation of extracted ion chromatographic peaks

SUMMARY: Accurate determination of extracted ion chromatographic peak areas in isotope-labeled quantitative proteomics is difficult to automate. Manual validation of identified peaks is typically required. We have integrated a peak confidence scoring algorithm into existing tools which are compatible with analysis pipelines based on the standards from the Institute for Systems Biology. This algorithm automatically excludes incorrectly identified peaks, improving the accuracy of the final protein expression ratio calculation. SOURCE AND SUPPLEMENTARY INFORMATION: http://www.chem.uky.edu/research/lynn/Nelson.pdf.     

Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics

A crucial issue in comparative proteomics is the accurate quantification of differences in protein expression levels. To achieve this, several methods have been developed in which proteins are labeled with stable isotopes either in vivo via metabolic labeling or in vitro by protein derivatization. Although metabolic labeling is the only way to obtain labeling of all proteins, it has thus far only been applied to single- celled organisms and cells in culture. Here we describe quantitative 15N metabolic labeling of the multicellular organisms Caenorhabditis elegans, a nematode, and Drosophila melanogaster, the common fruit fly, achieved by feeding them on 15N-labeled Escherichia coli and yeast, respectively. The relative abundance of individual proteins obtained from different samples can then be determined by mass spectrometry (MS). The applicability of the method is exemplified by the comparison of protein expression levels in two C. elegans strains, one with and one without a germ line. The methodology described provides tools for accurate quantitative proteomic studies in these model organisms.     

Quantitative Proteome Analysis Reveals RNA Processing Factors As Modulators of Ionizing Radiation-Induced Apoptosis in the C. elegans Germline

The nematode Caenorhabditis elegans is an organism most recognized for forward and reverse genetic and functional genomic approaches. Proteomic analyses of DNA damage-induced apoptosis have not been shown because of a limited number of cells undergoing apoptosis. We applied mass spectrometry-based quantitative proteomics to evaluate protein changes induced by ionizing radiation (IR) in isolated C. elegans germlines. For this purpose, we used isobaric peptide termini labeling (IPTL) combined with the data analysis tool IsobariQ, which utilizes MS/MS spectra for relative quantification of peak pairs formed during fragmentation. Using stringent statistical critera, we identified 48 proteins to be significantly up- or down-regulated, most of which are part of a highly interconnected protein-protein interaction network dominated by proteins involved in translational control. RNA-mediated depletion of a selection of the IR-regulated proteins revealed that the conserved CAR-1/CGH-1/CEY-3 germline RNP complex acts as a novel negative regulator of DNA-damage induced apoptosis. Finally, a central role of nucleolar proteins in orchestrating these responses was confirmed as the H/ACA snRNP protein GAR-1 was required for IR-induced apoptosis in the C. elegans germline.     

Accurate proteome-wide protein quantification from high-resolution <Superscript>15</Superscript>N mass spectra

In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of ¹⁵N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing ¹⁵N spectra in which quantification is integrated with identification. Application of this method to an Escherichia coli growth transition reveals significant improvement in quantification accuracy over previous methods.     

Stable isotope labeling of Arabidopsis thaliana cells and quantitative proteomics by mass spectrometry

Quantitative analysis of protein expression is an important tool for the examination of complex biological systems. Albeit its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein amounts in the cell and the variation in the physical properties of proteins. Stable isotope labeling by amino acids in cell culture (SILAC) has been successfully used in yeast and mammalian cells to measure relative protein abundance by mass spectrometry. Here we show for the first time that proteins from Arabidopsis thaliana cell cultures can be selectively isotope-labeled in vivo by growing cells in the presence of a single stable isotope-labeled amino acid. Among the tested amino acids ([2H3]-leucine, [13C6]arginine, and [2H4]lysine), [13C6]arginine proved to be the most suitable. Incorporation of [13C6]arginine into the proteome was homogeneous and reached efficiencies of about 80%. [13C6]Arginine-labeled A. thaliana suspension cells were used to study the regulation of glutathione S-transferase expression in response to abiotic stress caused by salicylic acid and to identify proteins that bind specifically to phosphorylated 14-3-3 binding motifs on synthesized bait peptides in affinity purification experiments. In conclusion, the combination of stable isotope labeling of plant cells and mass spectrometry is a powerful technology that can be applied to study complex biological processes that involve changes in protein expression such as cellular responses to various kinds of stress or activation of cell signaling.     

Non-muscle myosin IIA transports a Golgi glycosyltransferase to the endoplasmic reticulum by binding to its cytoplasmic tail

The mechanism of the Golgi-to-ER transport of Golgi glycosyltransferases is not clear. We utilize a cell line expressing the core 2 N-acetylglucosaminyltransferase-M (C2GnT-M) tagged with c-Myc to explore this mechanism. By immunoprecipitation using anti-c-Myc antibodies coupled with proteomics analysis, we have identified several proteins including non-muscle myosin IIA (NMIIA), heat shock protein (HSP)-70 and ubiquitin activating enzyme E1 in the immunoprecipitate. Employing yeast-two-hybrid analysis and pulldown experiments, we show that the C-terminal region of the NMIIA heavy chain binds to the 1-6 amino acids in the cytoplasmic tail of C2GnT-M. We have found that NMIIA co-localizes with C2GnT-M at the periphery of the Golgi. In addition, inhibition or knockdown of NMIIA prevents the brefeldin A-induced collapse of the Golgi as shown by the inhibition of the migration of both Giantin, a Golgi matrix protein, and C2GnT-M, a Golgi non-matrix protein, to the ER. In contrast, knockdown of HSP70 retains Giantin in the Golgi but moves C2GnT-M to the ER, a process also blocked by inhibition or knockdown of NMIIA. Also, the intracellular distribution of C2GnT-M is not affected by knockdown of β-coatomer protein with or without inhibition of HSPs, suggesting that the Golgi-to-ER trafficking of C2GnT-M does not depend on coat protein complex-I. Further, inhibition of proteasome results in accumulation of ubiquitinated C2GnT-M, suggesting its degradation by proteasome. Therefore, NMIIA and not coat protein complex-I is responsible for transporting the Golgi glycosyltransferase to the ER for proteasomal degradation. The data suggest that NMIIA is involved in the Golgi remodeling.     

Autophagy regulates ageing in C. elegans

The role of autophagy in ageing regulation has been suggested based on studies in C. elegans, in which knockdown of the expression of bec-1 (ortholog of the yeast and mammalian autophagy genes ATG6/VPS30 and beclin 1, respectively) shortens lifespan of the daf-2(e1370) mutant C. elegans. However, Beclin1/ATG6 is also known to be involved in other cellular functions in addition to autophagy. In the current study, we knocked down two other autophagy genes, atg-7 and atg-12, in C. elegans using RNAi. We showed that RNAi shortened the lifespan of both wild type and daf-2 mutant C. elegans, providing strong support for a role of autophagy in ageing regulation.     

Halogenated Peptides as Internal Standards (H-PINS): INTRODUCTION OF AN MS-BASED INTERNAL STANDARD SET FOR LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY*

As the application for quantitative proteomics in the life sciences has grown in recent years, so has the need for more robust and generally applicable methods for quality control and calibration. The reliability of quantitative proteomics is tightly linked to the reproducibility and stability of the analytical platforms, which are typically multicomponent (e.g. sample preparation, multistep separations, and mass spectrometry) with individual components contributing unequally to the overall system reproducibility. Variations in quantitative accuracy are thus inevitable, and quality control and calibration become essential for the assessment of the quality of the analyses themselves. Toward this end, the use of internal standards cannot only assist in the detection and removal of outlier data acquired by an irreproducible system (quality control) but can also be used for detection of changes in instruments for their subsequent performance and calibration. Here we introduce a set of halogenated peptides as internal standards. The peptides are custom designed to have properties suitable for various quality control assessments, data calibration, and normalization processes. The unique isotope distribution of halogenated peptides makes their mass spectral detection easy and unambiguous when spiked into complex peptide mixtures. In addition, they were designed to elute sequentially over an entire aqueous to organic LC gradient and to have m/z values within the commonly scanned mass range (300–1800 Da). In a series of experiments in which these peptides were spiked into an enriched N-glycosite peptide fraction (i.e. from formerly N-glycosylated intact proteins in their deglycosylated form) isolated from human plasma, we show the utility and performance of these halogenated peptides for sample preparation and LC injection quality control as well as for retention time and mass calibration. Further use of the peptides for signal intensity normalization and retention time synchronization for selected reaction monitoring experiments is also demonstrated.As proteomics and systems biology converge, the need for the generation of high quality, large scale quantitative proteomics data sets has grown, and so-called label-free quantification has emerged as a very useful platform for their generation (1). Label-free quantitative experiments are usually designed to detect differentially abundant features in biologically relevant samples by comparing mass versus retention time feature maps generated by LC-MS. Although label-free proteomics experiments are time- and cost-effective, they require high levels of reproducibility at every step of the process (2). Too much variation resulting from sample preparation, LC performance (e.g. injection, gradient delivery, and flow rate), and MS performance (e.g. ionization efficiency, mass accuracy, and detector performance) could lead to an increase in the false discovery rate of detected peptides. Thus it is crucial to minimize such variation to adequately control the quality of the data. In addition, label-free experiments are often followed by directed MS/MS analyses in which selected peptides are specifically targeted for identification, a procedure that also requires high system reproducibility (3, 4). The total variation in the acquired data is the result of accumulating variation at each step. This variation, regardless of its source, be it from sample handling, injection irreproducibility, change in analyte volume, matrix and co-eluter interference (both suppression and enhancement), system instability, or finally variations in the ion source performance, can be accounted for if an appropriate internal standard (ISTD)¹ system is used.A more recent development in the field of quantitative proteomics is multireaction monitoring (MRM) also referred to as selected reaction monitoring (SRM). This MS-based technology is aimed at fast, sensitive, and reproducible screening of large sets of known targets and is ideal for building biological assays in which the presence and quantity of specific analytes is being determined in multiple samples. Certain inputs, such as transitional values (m/z values for the precursor ion and its fragment ions), collision energies, and chromatographic retention time are required to build a validated S/MRM assay. These values are either extracted from MS/MS data acquired from biological samples with the same type of instrument used for the S/MRM analyses or from a set of peptide standards (5). To maximize the number of S/MRM measurements in one LC-MS/MS run, the use of elution time constraints has proven to be highly beneficial (6). ISTDs could therefore play an integral role in building S/MRM assays if used to synchronize input values such as retention times between instruments or to monitor the retention time consistency in sequences of scheduled S/MRM experiments.ISTDs are usually designed to best fit the analytical system for which they are being used. Because the currency of quantitative proteomics is ionized peptide ions, peptides thus represent the best candidates for ISTDs for proteomics measurements. The use of peptides as ISTDs for proteomics applications, however, is not new. Both natural peptides and heavy isotope-labeled peptides (either chemically synthesized or produced by tryptic digestion of biologically expressed quantification concatamers (QconCATs)) have been used as internal standards by spiking (7, 8). Peptides from the biological analyte have also been used as pseudo-internal standards for normalization (9). But a limitation with all these methods that use native and heavy isotope-labeled peptides as ISTDs is signal detection. The MS-based signal detection for this type of peptide can be challenging when trying to confidently detect their signal in ion chromatograms acquired by mass spectral analysis of biological fluids or other samples of similar complexity where densely packed features cover the entire mass and time range (10). In addition, there is always a chance that a peptide with the same elemental composition as the internal standard might exist in the analyte and thus completely throw off the calibration curve (11). The same argument is valid for heavy isotope-labeled peptides because in many quantitative applications the analytical matrix is made of heavy isotope-labeled peptides (12–14). Obviously utilization of ISTDs in complex mixtures requires highly confident detection of corresponding signals, and for natural and heavy isotope-labeled peptides MS/MS analysis is the only way to accomplish that. But CID attempts on mass spectral features do not necessarily result in identification. First the MS features from ISTDs have to be picked for CID, and then the fragmentation should result in high quality MS/MS spectra that could be matched to the ISTD sequence with high confidence. This process is not always successful and consequently can result in an incomplete set of ISTD signals. The other limitation of MS/MS-based ISTDs is processing time. All MS/MS data have to be searched and curated before ISTD signals can be used.On the other hand, if ISTD signals could be easily detected at the MS level, then all the aforementioned limitations are lifted. For such a peptide to be an MS-based ISTD, it should really have unusual properties that make it easily detectable in a background of biological peptides.In this study we introduce the use of a set of halogenated peptides as internal standards (H-PINS) with unique isotopic distributions and mass defect that are easily detectable at the MS level by manual search and automated peak picking algorithms. The pattern of the isotopic distribution and mass defect are essential for detection of H-PINS at the MS level. Hence these peptides are best suited for high resolution and mass accuracy instruments. These peptides are similar to ordinary peptides in any other respect and can be treated similarly during purification and LC-MS analysis. We go on to illustrate their use for quality control (QC) at various steps of a proteomics experiment including sample preparation, LC-MS, and mass calibration and retention time synchronization between various analytical platforms.     

siRNA-mediated knockdown of a splice variant of the PK-A catalytic subunit gene causes adult-onset paralysis in C. elegans

In C. elegans, the PK-A catalytic subunit is encoded by kin-1, which has six 5' exons (N'1-N'6), any one of which may be alternatively spliced onto exon-2. Here we describe a novel siRNA-based strategy to knockdown the expression levels of the N'3 and N'4 splice variants. We show that this technique can effectively knockdown expression of the targeted isoforms without affecting expression of the other kin-1 splice variants. We suggest that this strategy could be widely used in C. elegans to investigate the function of genes with alternative first exons. Moreover, we report a novel role for the N'3 kin-1 variant. Whereas knockdown of the N'4 variant results in no obvious phenotype, loss of the N'3 variant leads to paralysis and an egg-laying defect in the adult, suggesting a deficit in the function of the neuromuscular junction. The function of the N'3 variant is discussed in relation to the known function of PK-A in regulation of the release of neurotransmitters from many presynaptic termini.     

Autophagy protects against hypoxic injury in C. elegans

Macroautophagy has been implicated in a variety of pathological processes. Hypoxic/ischemic cellular injury is one such process in which autophagy has emerged as an important regulator. In general, autophagy is induced after a hypoxic/ischemic insult; however, whether the induction of autophagy promotes cell death or recovery is controversial and appears to be context dependent. We have developed C. elegans as a genetically tractable model for the study of hypoxic cell injury. Both necrosis and apoptosis are mechanisms of cell death following hypoxia in C. elegans. However, the role of autophagy in hypoxic injury in C. elegans has not been examined. Here, we found that RNAi knockdown of the C. elegans homologs of beclin 1/Atg6 (bec-1) and LC3/Atg8 (lgg-1, lgg-2), and mutation of Atg1 (unc-51) decreased animal survival after a severe hypoxic insult. Acute inhibition of autophagy by the type III phosphatidylinositol 3-kinase inhibitors, 3-methyladenine and Wortmannin, also sensitized animals to hypoxic death. Hypoxia-induced neuronal and myocyte injury as well as necrotic cellular morphology were increased by RNAi knockdown of BEC-1. Hypoxia increased the expression of a marker of autophagosomes in a bec-1-dependent manner. Finally, we found that the hypoxia hypersensitive phenotype of bec-1(RNAi) animals could be blocked by loss-of-function mutations in either the apoptosis or necrosis pathway. These results argue that inhibition of autophagy sensitizes C. elegans and its cells to hypoxic injury and that this sensitization is blocked or circumvented when either of the two major cell-death mechanisms is inhibited.     

Using Caenorhabditis elegans for functional analysis of genes of parasitic nematodes

Information on the functional genomics of Caenorhabditis elegans has increased significantly in the last few years with the development of RNA interference. In parasitic nematodes, RNA interference has shown some success in gene knockdown but optimisation of this technique will be required before it can be adopted as a reliable functional genomics tool. Comparative studies in C. elegans remain an appropriate alternative for studying the function and regulation of some parasite genes and will be extremely useful for fully exploiting the increasing parasite genome sequence data becoming available.