Site Assignment Research Articles

Synthesis and investigation of luminescence properties of Eu3+-doped cubic perovskite Ba3Y2WO9

Eu3+-doped cubic double perovskite Ba3Y2WO9 phosphors have been firstly successfully synthesized by sol–gel method. The prepared samples were characterized by X-ray diffraction (XRD) and field emission-scanning electron microscopy (FE-SEM). The luminescence excitation and emission spectra in the ultraviolet–visible (UV) region were used to investigate the luminescence properties of these phosphors. Then the site-selective excitation and emission spectroscopy along with luminescence decay have been investigated in the 5D0→7F0 region under a pulsed, tunable, narrowband dye laser at room temperature. In our study, the crystallographic occupations of Eu3+ ions were explored based on both spectroscopy and crystal structure of cubic Ba3Y2WO9:Eu3+. The multiple site structure of Eu3+ ions with highly disordered distributions in cubic Ba3Y2WO9 lattices was suggested. The results help us to understand the site assignments of rare earth ions doped in cubic Ba3Y2WO9.

Mapping PARP-1 Auto-ADP-ribosylation Sites by Liquid Chromatography–Tandem Mass Spectrometry

We demonstrate a novel method for the identification of poly(ADP-ribose) polymerase-1 (PARP-1) autopoly(ADP-ribosyl)ation sites that is suited to collision induced dissociation (CID) tandem mass spectrometry. By employing phosphodiesterase to remove the majority of the poly(ADP-ribose) (pADPr) modification, we reduce the complexity of tandem mass spectrometric analysis of pADPr-modified tryptic peptides. The simplified ribose-5'-phosphate form of the peptides produce tandem mass spectra by CID that are readily interpreted and enable effective localization of the exact sites of PARP-1-catalyzed poly(ADP-ribosyl)ation. In conjunction with a phosphopeptide-like enrichment strategy that captures the ribose-5'-phosphate peptides, we identified eight novel sites of PARP-1 automodification, confirmed the localization of two sites previously reported, and provided evidence for two additional targeted peptides with ambiguous modification site assignments. Given the simplicity of the approach, the method is readily applicable to analysis of complex samples.

Functionalized diamond nanopowder for phosphopeptides enrichment from complex biological fluids

Diamond is known for its high affinity and biocompatibility towards biomolecules and is used exclusively in separation sciences and life science research. In present study, diamond nanopowder is derivatized as Immobilized Metal Ion Affinity Chromatographic (IMAC) material for the phosphopeptides enrichment and as Reversed Phase (C-18) media for the desalting of complex mixtures and human serum profiling through MALDI-TOF-MS. Functionalized diamond nanopowder is characterized by Fourier transform infrared (FT-IR) spectroscopy, scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) spectroscopy. Diamond-IMAC is applied to the standard protein (β-casein), spiked human serum, egg yolk and non-fat milk for the phosphopeptides enrichment. Results show the selectivity of synthesized IMAC-diamond immobilized with Fe3+ and La3+ ions. To comprehend the elaborated use, diamond-IMAC is also applied to the serum samples from gall bladder carcinoma for the potential biomarkers. Database search is carried out by the Mascot program (www.matrixscience.com) for the assignment of phosphorylation sites. Diamond nanopowder is thus a separation media with multifunctional use and can be applied to cancer protein profiling for the diagnosis and biomarker identification.

Analysis of Post‐translational Modifications

Analysis of Post‐translational Modifications

Electron transfer dissociation (ETD): The mass spectrometric breakthrough essential for O‐GlcNAc protein site assignments—a study of the O‐GlcNAcylated protein Host Cell Factor C1

The development of electron-based, unimolecular dissociation MS, i.e. electron capture and electron transfer dissociation (ECD and ETD, respectively), has greatly increased the speed and reliability of labile PTM site assignment. The field of intracellular O-GlcNAc (O-linked N-acetylglucosamine) signaling has especially advanced with the advent of ETD MS. Only within the last five years have proteomic-scale experiments utilizing ETD allowed the assignment of hundreds of O-GlcNAc sites within cells and subcellular structures. Our ability to identify and unambiguously assign the site of O-GlcNAc modifications using ETD is rapidly increasing our understanding of this regulatory glycosylation and its potential interaction with other PTMs. Here, we discuss the advantages of using ETD, complimented with collisional-activation MS, in a study of the extensively O-GlcNAcylated protein Host Cell Factor C1 (HCF-1). HCF-1 is a transcriptional coregulator that forms a stable complex with O-GlcNAc transferase and controls cell cycle progression. ETD, along with higher energy collisional dissociation (HCD) MS, was employed to assign the PTMs of the HCF-1 protein isolated from HEK293T cells. These include 19 sites of O-GlcNAcylation, two sites of phosphorylation, and two sites bearing dimethylarginine, and showcase the residue-specific, PTM complexity of this regulator of cell proliferation.

Examining factors that influence erroneous phosphorylation site localization via competing fragmentation and rearrangement reactions during ion trap CID‐MS/MS and ‐MS3

Factors influencing the magnitude of competing fragmentation and intramolecular phosphate group rearrangement reactions during CID-MS/MS and CID-MS(3) of protonated phosphopeptide ions in ion trap mass spectrometers, and their effect on phosphorylation site localization using automated search algorithms, have been examined by systematically varying the peptide composition, the identity, number, and position of the phosphorylated "donor" and nonphosphorylated "acceptor" residues, and the proton mobility of the precursor ion charge states for a synthetic phosphopeptide library. CID-MS(3) of product ions formed via combined neutral losses of HPO3 and H2 O, rather than direct loss of H3 PO4 from phosphotyrosine containing peptides yielded incorrect phosphorylation site assignments, while correct phosphorylation site assignments for phosphothreonine and phosphoserine containing peptides were highly dependant on the relative abundance of these competing fragmentation pathways. Abundant phosphate group rearrangement product ions were observed from CID-MS/MS of multiply protonated phosphopeptide ions, with increased rearrangement under nonmobile or partially mobile protonation conditions, and as a function of the identity and number of the donor and acceptor residues. A clear inverse trend was observed between the amplitude of these rearrangement reactions and the confidence for phosphorylation site localization, and rearrangement played a contributing role in erroneous phosphorylation site assignment for several peptides.

Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass spectrometry

Tandem mass spectrometry (MS/MS) is a dominant approach for large-scale high-throughput post-translational modification (PTM) profiling. Although current state-of-the-art blind PTM spectral analysis algorithms can predict thousands of modified peptides (PTM predictions) in an MS/MS experiment, a significant percentage of these predictions have inaccurate modification mass estimates and false modification site assignments. This problem can be addressed by post-processing the PTM predictions with a PTM refinement algorithm. We developed a novel PTM refinement algorithm, iPTMClust, which extends a recently introduced PTM refinement algorithm PTMClust and uses a non-parametric Bayesian model to better account for uncertainties in the quantity and identity of PTMs in the input data. The use of this new modeling approach enables iPTMClust to provide a confidence score per modification site that allows fine-tuning and interpreting resulting PTM predictions. The primary goal behind iPTMClust is to improve the quality of the PTM predictions. First, to demonstrate that iPTMClust produces sensible and accurate cluster assignments, we compare it with k-means clustering, mixtures of Gaussians (MOG) and PTMClust on a synthetically generated PTM dataset. Second, in two separate benchmark experiments using PTM data taken from a phosphopeptide and a yeast proteome study, we show that iPTMClust outperforms state-of-the-art PTM prediction and refinement algorithms, including PTMClust. Finally, we illustrate the general applicability of our new approach on a set of human chromatin protein complex data, where we are able to identify putative novel modified peptides and modification sites that may be involved in the formation and regulation of protein complexes. Our method facilitates accurate PTM profiling, which is an important step in understanding the mechanisms behind many biological processes and should be an integral part of any proteomic study. Our algorithm is implemented in Java and is freely available for academic use from http://genes.toronto.edu. Supplementary data are available at Bioinformatics online.

D‐score: A search engine independent MD‐score

While peptides carrying PTMs are routinely identified in gel-free MS, the localization of the PTMs onto the peptide sequences remains challenging. Search engine scores of secondary peptide matches have been used in different approaches in order to infer the quality of site inference, by penalizing the localization whenever the search engine similarly scored two candidate peptides with different site assignments. In the present work, we show how the estimation of posterior error probabilities for peptide candidates allows the estimation of a PTM score called the D-score, for multiple search engine studies. We demonstrate the applicability of this score to three popular search engines: Mascot, OMSSA, and X!Tandem, and evaluate its performance using an already published high resolution data set of synthetic phosphopeptides. For those peptides with phosphorylation site inference uncertainty, the number of spectrum matches with correctly localized phosphorylation increased by up to 25.7% when compared to using Mascot alone, although the actual increase depended on the fragmentation method used. Since this method relies only on search engine scores, it can be readily applied to the scoring of the localization of virtually any modification at no additional experimental or in silico cost.

PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data

Phosphorylation site assignment of high throughput tandem mass spectrometry (LC-MS/MS) data is one of the most common and critical aspects of phosphoproteomics. Correctly assigning phosphorylated residues helps us understand their biological significance. The design of common search algorithms (such as Sequest, Mascot etc.) do not incorporate site assignment; therefore additional algorithms are essential to assign phosphorylation sites for mass spectrometry data. The main contribution of this study is the design and implementation of a linear time and space dynamic programming strategy for phosphorylation site assignment referred to as PhosSA. The proposed algorithm uses summation of peak intensities associated with theoretical spectra as an objective function. Quality control of the assigned sites is achieved using a post-processing redundancy criteria that indicates the signal-to-noise ratio properties of the fragmented spectra. The quality assessment of the algorithm was determined using experimentally generated data sets using synthetic peptides for which phosphorylation sites were known. We report that PhosSA was able to achieve a high degree of accuracy and sensitivity with all the experimentally generated mass spectrometry data sets. The implemented algorithm is shown to be extremely fast and scalable with increasing number of spectra (we report up to 0.5 million spectra/hour on a moderate workstation). The algorithm is designed to accept results from both Sequest and Mascot search engines. An executable is freely available at http://helixweb.nih.gov/ESBL/PhosSA/ for academic research purposes.

Bayesian Selection of Nucleotide Substitution Models and Their Site Assignments

Probabilistic inference of a phylogenetic tree from molecular sequence data is predicated on a substitution model describing the relative rates of change between character states along the tree for each site in the multiple sequence alignment. Commonly, one assumes that the substitution model is homogeneous across sites within large partitions of the alignment, assigns these partitions a priori, and then fixes their underlying substitution model to the best-fitting model from a hierarchy of named models. Here, we introduce an automatic model selection and model averaging approach within a Bayesian framework that simultaneously estimates the number of partitions, the assignment of sites to partitions, the substitution model for each partition, and the uncertainty in these selections. This new approach is implemented as an add-on to the BEAST 2 software platform. We find that this approach dramatically improves the fit of the nucleotide substitution model compared with existing approaches, and we show, using a number of example data sets, that as many as nine partitions are required to explain the heterogeneity in nucleotide substitution process across sites in a single gene analysis. In some instances, this improved modeling of the substitution process can have a measurable effect on downstream inference, including the estimated phylogeny, relative divergence times, and effective population size histories.

Curvopeptin: A New Lanthionine‐Containing Class III Lantibiotic and its Co‐substrate Promiscuous Synthetase

Lantibiotics are ribosomally synthesized peptides containing post-translationally installed lanthionine thioether bridges. Recently characterized class III lantibiotics have also revealed the occurrence of labionin, a novel carbacyclic variation of lanthionine, and highlighted the structural diversity within this group. Here we describe the discovery and characterization of curvopeptins produced by Thermomonospora curvata, the first class III lantibiotics of thermophilic origin. Furthermore, investigation of the modifying enzyme CurKC and in particular the characterization of its specificity toward phosphorylation co-substrates was performed. Remarkably, all investigated NTPs and dNTPs were accepted by the enzyme, although the purine nucleotides ATP/dATP and GTP/dGTP were the preferred co-substrates. This finding complements previous studies on the class III lantibiotic synthetases LabKC and EryKC and underlines the surprising promiscuity of the Ser/Thr-kinase domain. Enzymatic studies with a precursor peptide mutant allowed the assignment of all dehydration sites and further GC-MS analysis revealed the presence of lanthionine as the main type of intramolecular ring.

High Mass Accuracy Phosphopeptide Identification Using Tandem Mass Spectra

Phosphoproteomics is a powerful analytical platform for identification and quantification of phosphorylated peptides and assignment of phosphorylation sites. Bioinformatics tools to identify phosphorylated peptides from their tandem mass spectra and protein sequence databases are important part of phosphoproteomics. In this work, we discuss general informatics aspects of mass-spectrometry-based phosphoproteomics. Some of the specifics of phosphopeptide identifications stem from the labile nature of phosphor groups and expanded peptide search space. Allowing for modifications of Ser, Thr, and Tyr residues exponentially increases effective database size. High mass resolution and accuracy measurements of precursor mass-to-charge ratios help to restrict the search space of candidate peptide sequences. The higher-order fragmentations of neutral loss ions enhance the fragment ion mass spectra of phosphorylated peptides. We show an example of a phosphopeptide identification where accounting for fragmentation from neutral loss species improves the identification scores in a database search algorithm by 50%.

How to Dig Deeper? Improved Enrichment Methods for Mucin Core-1 Type Glycopeptides

Two different workflows were tested in order to develop methods that provide deeper insight into the secreted O-glycoproteome. Bovine serum samples were subjected to lectin affinity-chromatography both at the protein- and peptide-level in order to selectively isolate glycopeptides with the most common, mucin core-1 sugar. This enrichment step was implemented with either protein-level mixed-bed ion-exchange chromatography or with peptide-level electrostatic repulsion hydrophilic interaction chromatography. Both methods led to at least 65% of the identified products being glycopeptides, in comparison to ≈ 25% without the additional chromatography steps [Darula, Z., and Medzihradszky, K. F. (2009) Affinity enrichment and characterization of mucin core-1 type glycopeptides from bovine serum. Mol. Cell. Proteomics 8, 2515-2526]. In order to improve not only the isolation but also the characterization of the glycopeptides exoglycosidases were used to eliminate carbohydrate extensions from the directly peptide-bound GalNAc units. Consequent tandem MS analysis of the mixtures using higher-energy collision-dissociation and electron-transfer dissociation led to the identification of 124 glycosylation sites in 51 proteins. While the electron-transfer dissociation data provided the bulk of the information for both modified sequence and modification site assignment, the higher-energy collision-dissociation data frequently yielded confirmation of the peptide identity, and revealed the presence of some core-2 or core-3 oligosaccharides. More than two-thirds of the sites as well as the proteins have never been reported modified.

MINERAL: A program for the propagation of analytical uncertainty through mineral formula recalculations

MINERAL (MINeral ERror AnaLysis) is a MATLAB® based program that performs mineral formula recalculations and calculates the error on formula unit cations though the propagation of analytical uncertainties. The program is focused on 9 common mineral groups. Other minerals are accommodated through a generic routine in which users designate the number of cations and oxygens in the desired formula. Additional functionalities provide users with a range of mineral appropriate output options. Recalculations and uncertainty calculations include site assignments for multi-site cations (e.g. tetrahedral and octahedral Al in mafic minerals), partitioning of Fe2+ and Fe3+, and calculations of mol fractions of end members. Until now, performing full propagation of uncertainty through mineral formula recalculations was labor intensive and, for users unfamiliar with statistical notation or techniques, a significant computational challenge. The lack of precedent set by previous studies has made it accepted practice within the discipline to not provide recalculated uncertainty information. This oversight prevents analysts from assessing the quality of their data, and of their interpretations in a robust and quantitative manner. This automated toolbox renders the process fast and simple.

Tandem mass spectrometry identifies many mouse brain O -GlcNAcylated proteins including EGF domain-specific O -GlcNAc transferase targets

O-linked N-acetylglucosamine (O-GlcNAc) is a reversible posttranslational modification of Ser and Thr residues on cytosolic and nuclear proteins of higher eukaryotes catalyzed by O-GlcNAc transferase (OGT). O-GlcNAc has recently been found on Notch1 extracellular domain catalyzed by EGF domain-specific OGT. Aberrant O-GlcNAc modification of brain proteins has been linked to Alzheimer's disease (AD). However, understanding specific functions of O-GlcNAcylation in AD has been impeded by the difficulty in characterization of O-GlcNAc sites on proteins. In this study, we modified a chemical/enzymatic photochemical cleavage approach for enriching O-GlcNAcylated peptides in samples containing ∼100 μg of tryptic peptides from mouse cerebrocortical brain tissue. A total of 274 O-GlcNAcylated proteins were identified. Of these, 168 were not previously known to be modified by O-GlcNAc. Overall, 458 O-GlcNAc sites in 195 proteins were identified. Many of the modified residues are either known phosphorylation sites or located proximal to known phosphorylation sites. These findings support the proposed regulatory cross-talk between O-GlcNAcylation and phosphorylation. This study produced the most comprehensive O-GlcNAc proteome of mammalian brain tissue with both protein identification and O-GlcNAc site assignment. Interestingly, we observed O-β-GlcNAc on EGF-like repeats in the extracellular domains of five membrane proteins, expanding the evidence for extracellular O-GlcNAcylation by the EGF domain-specific OGT. We also report a GlcNAc-β-1,3-Fuc-α-1-O-Thr modification on the EGF-like repeat of the versican core protein, a proposed substrate of Fringe β-1,3-N-acetylglucosaminyltransferases.

Why complexity and entropy matter: Information, posttranslational modifications, and assay fidelity

Computationally aided protein identification of mass spectrometry (MS) data has been a challenge for the proteomic community since the field's inception. As the community attempts to address challenges such as computational site assignment of posttranslational modifications (PTMs), selective reaction monitoring data analysis, and the transition of proteomic assays to the clinic a robust framework with defined metrics is essential. The frameworks used for protein identification are currently score based, not hypothesis driven nor deterministic, resulting in a gradation from poor to good but without the ability to recognize when a given tandem MS spectrum has insufficient information in the context of the proteome to be identified. Means of computing deterministic and pseudodeterministic assays have been proposed by both us and others [Sherman, J., McKay, M.J., Ashman, K., Molloy, M.P., Unique ion signature mass spectrometry, a deterministic method to assign peptide identity. Mol. Cell. Proteomics 2009, 8, 2051-2062; Kiyonami, R., Schoen, A., Prakash, A., Peterman, S., et al., Increased selectivity, analytical precision, and through-put in targeted proteomics. Mol. Cell. Proteomics 2011, 10, M110.002931]. We believe it is crucial to incorporate the complexity of the proteome into the design of the experiment/data analysis upstream and that by doing so proteomic data analysis will become more robust. The seminal paper by Claude Shannon published in 1948 provides the robust mathematical framework now called Information Theory, to achieve this goal. Information Theory defines appropriate metrics for information and complexity as well as means to account for interference, all of which is directly applicable to peptide identification. We attempt to encourage the adoption of Information Theory as a means to ensure that appropriate metrics are used to measure the uncertainty in a peptide identification with or without PTM site assignment.

Thermal behavior of afghanite, an ABABACAC member of the cancrinite group

Thermal behavior of afghanite, (Na15K5Ca11)Σ31[Si24Al24O96](SO4)6Cl6, P31c, a = 12.7961(7) Å, c = 21.4094(13) Å, an eight-layer member of the cancrinite group, has been investigated by combined electron microprobe analysis, X-ray single-crystal diffraction, and high-temperature X-ray powder diffraction. Non-ambient X-ray powder diffraction data were collected in the 323-1223 K thermal range on a specimen from Case Collina, Latium, Italy. Structural refinement and site assignment based on the bond-valence analysis, performed on room-temperature single-crystal X-ray diffraction data, provided more accurate site allocation of cations than the available model in the literature. The results show that the cancrinite cages alternating with the liottite cages are more compressed along the c-axis than the remaining ones. As a result the chlorine atom, located at the center of the cages, is driven off-axis to release the steric strain due to the cage compression. Thermal expansion shows a discontinuity at 448 K for both a and c unit-cell parameters, a feature previously reported for other cancrinite-like minerals. Up to 448 K, the c-parameter expands significantly and more than the aparameter. A further discontinuity has been detected at 1073 K for the c-parameter. Mean linear and volume thermal expansion coefficients (×10-6 K-1) in the 323 < T < 448 K thermal range are ᾱa = 12.9(4), ᾱc = 17.9(9), and ᾱV = 43.7(18). Above this discontinuity temperature, the thermal expansion is reverted becoming greater for the a-parameter. Mean linear and volume thermal expansion coefficients in the 448 < T < 1073 K thermal range are ᾱc = 8.22(3), ᾱc = 3.52(4), and ᾱV = 19.68(8). In the 1073 < T < 1223 K thermal range the values are ᾱa = 6.35(9), ᾱc = 5.02(14), and ᾱV = 17.74(9). Afghanite shows a significant microstrain at RT that increases up to ca. 700 K and subsequently decreases as a function of T. Cooling to RT allows a significantly release of ε0 microstrain, which is coupled with a significant expansion of the c-parameter as compared to the starting RT data. The expansion of the c-parameter has been mainly attributed to the full expansion of the cancrinite cages alternating with the liottite cages. Upon reheating at 1173 K, the microstrain increases back to approximately the same value calculated for the first heating process. Repeated heating-RT-cooling cycles led to the partial afghanite structure disruption and the partial conversion, via an intermediate disordered phase, to haüyne. As repeated heating/cooling cycles did not modify the ε0 values both at RT and at HT, it can therefore be concluded that the strain release occurs prevalently during the first heating/cooling cycle.

Chemical Deamidation: A Common Pitfall in Large-Scale N-Linked Glycoproteomic Mass Spectrometry-Based Analyses

N-Linked glycoproteins are involved in several diseases and are important as potential diagnostic molecules for biomarker discovery. Therefore, it is important to provide sensitive and reliable analytical methods to identify not only the glycoproteins but also the sites of glycosylation. Recently, numerous strategies to identify N-linked glycosylation sites have been described. These strategies have been applied to cell lines and several tissues with the aim of identifying many hundreds (or thousands) of glycosylation events. With high-throughput strategies however, there is always the potential for false positives. The confusion arises since the protein N-glycosidase F (PNGase F) reaction used to separate N-glycans from formerly glycosylated peptides catalyzes the cleavage and deamidates the asparagine residue. This is typically viewed as beneficial since it acts to highlight the modification site. We have evaluated this common large-scale N-linked glycoproteomic strategy and proved potential pitfalls using Escherichia coli as a model organism, since it lacks the N-glycosylation machinery found in mammalian systems and some pathogenic microbes. After isolation and proteolytic digestion of E. coli membrane proteins, we investigated the presence of deamidated asparagines. The results show the presence of deamidated asparagines especially with close proximity to a glycine residue or other small amino acid, as previously described for spontaneous in vivo deamidation. Moreover, we have identified deamidated peptides with incorporation of (18)O, showing the pitfalls of glycosylation site assignment based on deamidation of asparagine induced by PNGase F in (18)O-water in large-scale analyses. These data experimentally prove the need for more caution in assigning glycosylation sites and "new" N-linked consensus sites based on common N-linked glycoproteomics strategies without proper control experiments. Besides showing the spontaneous deamidation, we provide alternative methods for validation that should be used in such experiments.

An N-glycosylation Analysis of Human Alpha-2-Macroglobulin Using an Integrated Approach

Assignment of glycosylation sites and site microheterogeneity is of both biological and clinical significance. Herein, the detailed N-glycosylation pattern of human serum alpha-2-macroglobulin was studied using an integrative approach, including permethylation of N-glycans, collision induced dissociation (CID) and electron transfer dissociation (ETD) of chymotryptic N-glycopeptides, and partial deglycosylation of chymotryptic N-glycopeptides with endo-β-N-acetylglucosaminidase F3 (Endo F3). Three N-glycosylation sites were found to be occupied by four biantennary complex type N-glycans using N-glycan analysis and the ETD/CID method. Endo F3 assisted mass spectrometric analysis yielded five N-glycosylation sites with and without core fucosylation. In total, six out of eight potential N-glycosylation sites were identified using this approach. This integrative approach was performed using only 10 μL of human serum for both N-glycosylation site assignment and site microheterogeneity determination.

Structural characterization of the lithium silicides Li15Si4, Li13Si4, and Li7Si3 using solid state NMR

Local environments and lithium ion dynamics in the binary lithium silicides Li(15)Si(4), Li(13)Si(4), and Li(7)Si(3) have been characterized by detailed variable temperature static and magic-angle spinning (MAS) NMR spectroscopic experiments. In the (6)Li MAS-NMR spectra, individual lithium sites are generally well-resolved at temperatures below 200 K, whereas at higher temperatures partial or complete site averaging is observed on the ms timescale. The NMR spectra also serve to monitor the phase transitions occurring in Li(7)Si(3) and Li(13)Si(4) at 235 K and 146 K, respectively. The observed lithium isotropic shift ranges of up to approximately 50 ppm indicate a significant amount of electronic charge stored on the lithium species, consistent with the expectation of the extended Zintl-Klemm-Busmann concept for the electronic structure of these materials. The (29)Si MAS-NMR spectra obtained on isotopically enriched samples, aided by double-quantum spectroscopy, are well suited for differentiating between the individual types of silicon sites within the silicon frameworks, and in Li(13)Si(4) their identification aids in the assignment of individual lithium sites via(29)Si{(7)Li} cross-polarization/heteronuclear correlation NMR. Variable temperature static (7)Li NMR spectra reveal motional narrowing effects, illustrating high lithium ionic mobilities in all of these compounds. Differences in the mobilities of individual lithium sites can be resolved by temperature dependent (6)Li MAS-NMR as well as (6)Li{(7)Li} rotational echo double resonance (REDOR) spectroscopy. For the compound Li(15)Si(4) the lithium mobility appears to be strongly geometrically restricted, which may result in a significant impediment for the use of Li-Si anodes for high-performance batteries. A comparison of all the (6)Li and (7)Li NMR spectroscopic data obtained for the three different lithium silicides and of Li(12)Si(7) previously studied suggests that lithium ions in the vicinity of silicon clusters or dimers have generally higher mobilities than those interacting with monomeric silicon atoms.